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Gepubliceerd in: Quality of Life Research 11/2021

Open Access 29-11-2020 | Special Section: Feedback Tools

First steps in PROMs and PREMs collection in Wales as part of the prudent and value-based healthcare agenda

Auteurs: Kathleen Withers, Robert Palmer, Sally Lewis, Grace Carolan-Rees

Gepubliceerd in: Quality of Life Research | Uitgave 11/2021

Abstract

Purpose

Patients are experts in their own health and should be treated as equal partners in their care. Patient-reported outcome measures (PROMs) are an effective way of gathering patient feedback and can facilitate effectiveness and cost-effectiveness analysis to improve decision making and service improvement. The PROMs, PREMs & Effectiveness Programme was initiated in 2016 and aimed to develop an electronic platform to facilitate collection of PROMs and Patient-reported experience measures (PREMs) from secondary care patients across Wales.

Methods

We worked with all Health Boards in Wales, the NHS Wales Informatics Service (NWIS), and Cedar (a healthcare technology research centre) to identify and meet technical requirements to develop a platform which is fit for purpose. Patient groups were included throughout the development to gather feedback and for extensive testing. Clinical teams helped identify the most appropriate tools, with licences, translations and electronic formatting issues being managed centrally.

Results

The developed platform is integrated with patient administration systems minimising the need for manual input, with processes in place to allow automatic collection triggers according to nationally agreed schedules. We have over 30 nationally agreed PROMs ‘pathways’ with over 110,000 PROMs collected to date. Responses are fed back to clinicians via the electronic patient record and to each health board via feeds to the national data warehouse, making data easily accessible to different teams, maximising use and application.

Discussion

The national platform has provided a co-ordinated approach to PROMs collection in Wales, offering an effective means of communicating with patients outside the traditional clinic visit.
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Afkortingen
ABUHB
Aneurin Bevan University Health Board
BMI
Body Mass Index
FAQ
Frequently asked questions
HB
Health board
HRQoL
Health-related quality of life
ICHOM
International consortium for health outcomes measurement
ISPOR
International society for pharmacoeconomics and outcomes research
IT
Information technology
NHS
National health service
NWIS
NHS Wales informatics service
PPEP
PROMs, PREMs and effectiveness programme
PREMs
Patient-reported experience measures
PROMs
Patient-reported outcome measures
UHB
University health board
UK
United Kingdom
US
United States
VBHC
Value-based healthcare
ViH
Value in health
WG
Welsh government
WPAI
Work, Productivity and Activity Index

Introduction

Clinicians worldwide are experts at treating diseases and conditions, with new advances leading to continued changes in healthcare provision. While the main purpose of any healthcare system is to promote, restore and/or maintain health, arguably improving health ultimately aims to enhance health-related quality of life (HRQoL) [1]. Improved health may be achieved by a range of methods including better disease prevention, and improving curative, supportive and palliative care. While objective measures such as disease, survival and infection rates (for example) can be readily assessed by clinical teams, quality-of-life measures such as subjective wellbeing can only be assessed by patients themselves [2]. In order to identify what matters most to patients in relation to their health, we need to identify the symptoms, impacts and outcomes of greatest importance to them. This can help us support improved HRQoL which specifically refers to the health aspects of quality of life, generally considered to reflect the impact of disease and treatment on disability and daily functioning [3].We should listen to patients to understand the experience of care that they have received so we can improve provision wherever possible. Increasingly, patients are being asked to provide their views on their health and healthcare experiences using questionnaires or tools called patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs). PROMs measure patient symptoms and health-related quality of life from the patient’s perspective, often before and after (and sometimes during) treatment to identify any related changes [4]. PROMs were originally used in research but have been adopted into more widespread practice, particularly notable perhaps in England and Sweden. In Sweden, the National Quality Registers which collect patient-level data on treatment and outcomes were collecting PROMs by 2002 [5]. Swedish Quality Registers are now obliged to include PROMs for high-level certification and many report examples of how they are used for quality improvement initiatives such as shared decision making [6]. National PROMs collection started in England in 2009, initially focussing on four clinical areas: hip replacement, knee replacement, varicose vein surgery, and hernia surgery, and aims to enable change by identifying good practice, financially penalising poor providers and facilitating transparency [7] (PROMs collection in varicose vein and hernia surgery was discontinued in October 2017). As well as facilitating improved care on an individual patient level by providing an individualised service based on patient-reported data [8], co-ordinated PROMs collection can identify areas with relative good or poor outcomes through benchmarking, which can facilitate improved clinical performances [9]. It can also provide collated quality-of-life datasets to support decision makers such as funders by allowing healthcare providers to assess the effectiveness and cost effectiveness of care. However, despite a few large-scale initiatives, it has been suggested that PROMs collection is often sub-optimal and fragmented with limited co-ordination [10].
As their name suggests, PREMs measure patients’ experiences of care and may include questions about how well information was explained to them, whether they had opportunities to ask questions, and whether staff was polite [11]. PREMs can also be used to improve services by identifying areas with good and poor practice to drive service improvement. Research has suggested that there may be a direct relationship between patients’ experiences and their outcomes, particularly in relation to trust and the level of communication with their clinician [12].

Value-based healthcare

PROMs are recognised as having a role in the rapidly growing worldwide movement of value-based healthcare (VBHC), which aims to maximise the value of care provided for patients within available resources. It has been defined as the health outcomes achieved per dollar of cost [13]. Recent efforts have been made to further define “Value” in VBHC [14], with the suggestion that access to care is important, and allocation of resource being a factor in ensuring that those being treated are those who will benefit most [15]. VBHC is intrinsically linked to PROMs as the value of healthcare should always focus on the patient and be measured by outcomes and not volume of services delivered [16]. A recent assessment found alignment with VBHC approaches in countries including Sweden, England, US, South Korea and Colombia [17]. The co-ordinated collection of PROMs facilitates the systematic involvement of patient feedback into programmes which aim to improve the cost effectiveness and quality of healthcare provided. Their use can allow us to identify those with the greatest need and to reduce inappropriate variation using evidence-based approaches [18]. Doing only what is needed at the right time, and being able to assess and compare different providers, treatments and regimes can not only provide better outcomes for patients through shared learning but also ensure that these can be delivered in the most cost efficient way [9].
Wales is one of the numerous countries worldwide in which VBHC is being seen as a way of delivering healthcare in a prudent way to secure sustainable services [19]. It relies on data to drive improvements in clinical outcomes for patients and strives to provide tailored care for each individual [4]. The availability of high-quality outcomes data can allow healthcare providers to identify and disinvest in low-value interventions and focus their resources more efficiently. The implementation of VBHC in Wales started at Aneurin Bevan University Health Board (ABUHB) in 2015 in response to the Welsh Government’s (WG) calls to meet the challenges of rising costs and increased demands while continuing to improve quality [20]. The focus on outcomes by the ABUHB programme has been recognised as an international example of how VBHC can be put into practice [20]. A recent annual report by the Chief Medical Officer in Wales [19] highlights its application across Wales, and the importance of co-production to involve patients as equal partners via the use of tools such as PROMs and PREMs. This requires the robust collection and reporting of outcome data.

Purpose

In NHS Wales, PROMs and PREMs have been collected for a number of years, but this has primarily been driven via small local initiatives with a restricted approach to co-ordinated collection. This has reduced opportunities for shared learning from outcomes data. This limited uncoordinated collection has also restricted our ability to more broadly invite all of our patients to tell us about their experiences and outcomes of care. In order to facilitate standardised collection across Wales, the PROMs, PREMs and Effectiveness Programme (PPEP) was initiated [21]. This ambitious programme of work aimed to develop and roll out an electronic platform to collect PROMs and PREMs from all secondary care patients across Wales using a co-ordinated, top-down approach. As well as supporting the principles of co-production to help involve patients more in decisions about their care, unified collection and linkage of patient outcome data with clinical and administrative data have huge potential in supporting the VBHC agenda [22].

Method

In early 2016, a successful grant application was made to the WG’s efficiency through technology fund to develop an electronic PROMs and PREMs data collection platform. Here, we provide a brief overview of the groups involved, methods used for tool selection and system integration.
To facilitate and support the development and roll out of the platform, a core team of staff was brought together under three primary work streams.

Technical work stream

Based at the NHS Wales Informatics Service (NWIS), this group is responsible for the technical development, roll out and support of the electronic platform itself.

Implementation & engagement work stream

This team comprises of two PPEP Programme managers and a Project Manager. Their role includes engagement with clinical groups across Wales to promote the PPEP and facilitate the collection of PROMs and PREMs on the system. This includes supporting change management within the health boards (HBs), ascertaining how collection will work best in different clinical and geographical areas, and identifying how to overcome obstacles to implementation.

Analytical work stream

Based within Cedar, a healthcare technology research centre, this team focuses on data analysis and report writing while also working on PROM tool identification, licensing and Welsh language translations.

Clinical leads

In addition to the three teams, national and local clinical leads were originally enrolled to facilitate engagement with clinical colleagues.
As the main driver for this work is to put patients at the centre of care, patients and patient groups were consulted to gather feedback on key aspects of the work.

PROMs and PREMs selection

Working with all local HBs and trusts in Wales, and supported by WG, the PPEP team sets out to identify requirements for a data collection platform including technical and practical drivers. It was decided that the system would collect a generic set of questions, supported, where agreed by condition-specific tools. The 5-level version of the EQ-5D (EQ-5D-5L) [23] was chosen as an appropriate generic PROM to support between-group/condition comparisons and health economic analysis due to its advantages over the 3L version [24]. The work, productivity and activity index (WPAI) [25] was also chosen to identify health-related reduction in work productivity. This short instrument was primarily included to help assess the impact of ill health and symptom severity on work and activities, and in assessing the wider economic impact of some conditions/treatments. Other “About You” questions were agreed to provide information on aspects of life, covering weight, height, exercise levels, alcohol intake and medical comorbidities, as shown in the screenshot in Fig. 1.
For consistency, it was agreed that for any specific condition/treatment, the same PROMs should be collected across the country, so national agreement was essential. We engaged with clinical groups across a range of conditions to identify areas where there was an appetite to set up PROMs collection with WG advising on priority areas. Before they can be considered for use on the programme, all tools must be agreed across Wales by the clinical reference group for that condition so that there is consistency in collection.
A WG requirement meant that the initial focus for collection was targeted at orthopaedics, cataracts, heart failure and lung cancer. There was strong clinical support and agreement on the choice of tools for a number of treatments within these fields, and a range of orthopaedic conditions were chosen as the first condition-specific tools for inclusion. Orthopaedic colleagues chose the Oxford Hip and Oxford Knee Scores [26] to mirror the collection by NHS England [27], and reflecting the requirements of organisations such as the National Joint Registry [28]. Other priority areas were identified as cataract surgery, heart failure and lung cancer, where condition-specific tools were also agreed. This was partly facilitated by the availability of ICHOM (International Consortium for Health Outcomes Measurement) standard sets which suggests PROMs in a range of conditions, and it was agreed that these were appropriate for use in Wales. A strategic partnership between NHS Wales and ICHOM supported practical implementation of lung cancer PROMs collection. Within clinical areas where there were no preferred tools, a standardised approach was developed to help identify potential options. This consisted of an initial review of available tools to identify appropriate options and review factors of the tools including the aim of the tool, whether they are validated for use in a UK population, target population and age, mode of collection, concepts of interest and domains. Other aspects for consideration are costs, ability to gain permission to use the tool electronically, and permission to carry out Welsh language translation and validation. Further detail on the PROMs selection process is available in Palmer et al.[29].
With respect to PREMs, a tool was required, which could be used across different settings so that one set of measures could be applicable to all clinical areas. However, no existing suitable tool was identified. Patient experience teams across Wales were consulted, and it was agreed that large-scale collection of standardised or “universal” experience measures that are applicable to all secondary healthcare settings would allow HBs to identify key areas to target local initiatives. A set of PREMs previously developed by WG [30] was identified; however, these were unsuitable for areas such as emergency care and had not been tested with patient groups. This PREMs set was adapted and validated as a core set for use on the platform, and covers topics such as timely assistance, involvement with decisions about care and Welsh language requirements [31].

Integration with existing clinical systems

In order to realise the full potential of the PROMs system to add value, it needs to be fully integrated with existing clinical systems to reduce manual input and to allow responses to be linked to clinical data including patient admissions and outpatient appointments. The design includes automatic triggers around pre-agreed scheduled time points, e.g. every 6 months and following key events such as surgery. This provides flexibility and ensures that patients with the same condition are asked to complete the same surveys at the same time points to facilitate comparative analysis and provide standardised data for decision making. There are a number of patient administration systems across Wales, and the platform needs to link effectively with all of these to enable data to flow effectively.
Patient-identifiable PROMs will be collected on a national basis and will be stored in the NWIS data warehouse alongside other nationally held datasets that include information on admitted patient care and outpatient appointments. Linkage between these datasets will form the basis of health economic analysis by comparing costs for consumables, treatment options and the impact of different patient demographics.

Results

Here, we present the results of our work to develop an electronic platform which uses recognised tools to collect patient-reported data in a form which facilitates both individual patient-level use and cohort analysis.
A fully integrated national electronic data collection platform has been successfully deployed for use in HBs and Trusts in Wales with the first data collected in June 2016. Uptake across HBs has varied as different clinical areas have implemented use at their own pace, with some organisations choosing to use alternative systems to meet specific needs. However, all but one health board in Wales are currently using the national electronic platform for PROMs collection in some capacity. Methods of collection vary with most HB’s collecting only for specific conditions such as lung cancer or orthopaedics, while Cardiff & Vale UHB opted to roll out large-scale collection whereby all patients are invited to complete the generic tool. This is collected alongside relevant condition-specific tools where available. An overview of current collection on the platform is available in Table 1. As detailed previously [21], two methods of collection currently exist, one designed so that patients can complete surveys on electronic devices in-clinic, and another “remote” system allowing collection on electronic devices in any setting. As the “remote” collection is connected to the HBs local patient administration system, programming within the system means that once patients are assigned to a relevant clinical pathway, e.g. arthroplasty, our collection system automatically invites them to complete a PROM for that condition at the scheduled time points. The patient acknowledgement letter includes an invitation to complete the PROM via a web-link with a unique identifier which enables them to log in. Once the PROM is completed, the data are stored in a national repository and a copy added to the Welsh Care Records Service for access by clinical teams. PROMs collection is embedded seamlessly throughout the patient journey, with the system automatically sending out further PROM invitations at predetermined time points. The system also allows ad-hoc completions with the invite to complete the PROM remaining open so that once invited onto the system patients can complete the PROM at any time and repeat this at will. This means they do not need to wait until a request is sent to them and can complete one as needed, e.g. during a clinic visit. This is particularly useful for conditions which may require regular clinic appointments at times during the treatment journey. Patients can be on more than one pathway at any time as illustrated in Fig. 2.
Table 1
Current status of PROMs collection using the National platform
Health board
Site
Clinical speciality
Pathway
Aneurin Bevan University Health Board
 
Not collecting
 
Betsi Cadwaladr University Health Board
Central area (Conwy & Denbighshire)
Trauma & orthopaedic
General surgery and colorectal
All Orthopaedic pathways
Generic
BCU East area:
Wrexham Maelor hospital
Trauma & orthopaedic
All Orthopaedic pathways
BCU West area:
Ysbyty Gwynedd hospital
Trauma & orthopaedic
Hip arthroplasty
Knee arthroplasty
Cardiff & Vale University Health Board
All sites
All specialities
Ophthalmology
Dermatology
Cardiology
Trauma & orthopaedic
Generic
Cataract
Dermatology
Heart failure
Shoulder arthroplasty
Elbow arthroplasty
Hip arthroplasty
Hip non-arthroplasty
Knee arthroplasty
Knee non-arthroplasty
Knee ACL
Knee Osteotomy
Hand Arthritis
Hand Arthritis Non-Arthroplasty
Hand—dupuytrens
Hand—general (incl: non-wrist trauma)
Hand—carpal tunnel
Wrist—rheumatoid
Wrist—general conditions
Trauma (wrist/carpal injury)
Cwm Taf Morgannwg University Health Board
All sites
Trauma & orthopaedic
Hip arthroplasty
Hip non-arthroplasty
Knee arthroplasty
Knee non-arthroplasty
Knee ACL
Knee osteotomy
Patellofemoral conditions
Hywel Dda University Health Board
Withybush General Hospital
Respiratory
Lung cancer
Bronglais General Hospital
Withybush General Hospital
Glangwili General Hospital
Trauma & orthopaedic
Hip arthroplasty
Hip non-arthroplasty
Knee arthroplasty
Knee non-arthroplasty
Powys Teaching Health Board
All sites
Cardiology
Heart failure
Swansea Bay University Health Board
Morriston hospital
ENT
Respiratory
Cardiology
Ophthalmology
Tonsillectomy
Lung cancer
Heart failure
Cataract
All sites
Trauma & orthopaedic
Hip arthroplasty
Knee arthroplasty
NB: Swansea Bay UHB is the successor body to the former Abertawe Bro Morgannwg University Health Board following a change in name and boundary on 1 April 2019
Data are stored centrally at NWIS and available to individual HBs in order to maximise use on a patient level and population basis. The “in-clinic” system is not connected to the local patient administration systems, therefore, involves a member of the clinical team logging onto the system to select the correct tool for the patient to complete. As a result, PROMs data collected with this method are not added to the patient record; however, patient responses are still made available via a standalone clinical portal which allows clinicians to see the completed PROM.
While this collection method has less functionality and therefore increased limitations compared to the “remote” system, it is available as an alternative for clinics where remote collection is not yet available. It was originally developed to pilot the system, and intended as a temporary measure only. This system also has an increased risk of error due to the potential for the clinic staff to load the incorrect PROM or patient information. There is also an additional burden on clinic staff to facilitate this system, and it relies on local internet connections. As the “remote” collection extends, the “in-clinic” system will become obsolete and will be retired in the near future.
For both methods of collection, collected data are stored centrally at NWIS and available to all individual HBs in order to maximise use of their own data on a patient level and population basis, and for data linkage analysis. The dataset as a whole is available for national use.

Progress and patient involvement

Over 30 PROMs tools have been agreed by the appropriate clinical groups and included on the system covering a range of clinical areas including orthopaedics, dermatology, heart failure and tonsillectomy as detailed in Table 2. Licences for these have been gained allowing the programme to collect in both English and Welsh. The Welsh Language (Wales) Measure [32] gives the Welsh language official status in Wales and encourages the equal provision of Welsh services to the public. To meet this requirement, patient-facing areas of the PROMs platform including the tools themselves are available in both English and Welsh. All PROMs have been translated and validated following the requirements of the licence or ISPOR (International Society for Pharmacoeconomics and Outcomes Research) guidelines [33]. As most PROMs have been developed on paper, the programme has converted paper formats to electronic format, following ISPOR guidelines for equivalence [34]. All Welsh language and electronic validation have involved patients’ input, with approximately 300 patients interviewed to date. A PREMs survey was developed and validated with patients and adopted for use across Wales [31]. Service users and key groups have been consulted in interviews and focus groups to gain feedback on the PPEP website [35]), to improve the FAQs and usability, and to identify how we can improve access to groups such as the visually impaired. The website interface has sections providing information about the programme and FAQs. A contact email allows patients to send questions to the team if any technical issues arise.
Table 2
Nationally agreed pathways and included tools
Sub-specialty
Pathway
Tools
Generic
PROM—generic (adults)
EQ-5D-5L, WPAI, ‘about you’
PREM
NHS Wales PREM
Hip
Arthroplasty
OHS
Non-arthroplasty
IHOT-12
Knee
Arthroplasty
OKS
Non-arthroplasty
KOOS
ACL
IKDC + KOOS + Tegner
Osteotomy
KOOS + Oxford knee score + OKS-APQ
Patellofemoral conditions
Kujala
Foot and ankle
Arthroplasty
MOxFQ
Non-arthroplasty
MOxFQ
Shoulder
Arthroplasty
OSS
Non-arthroplasty
OSS
Instability
OSIS
Elbow
Arthroplasty
OES
Non-arthroplasty
OES
Hand
Hand arthritis
PEM + Brief MHQ
Hand arthritis Non-Arthroplasty
PEM + Brief MHQ
Hand—dupuytrens
PEM + URAM
Hand—general (incl: non-wrist trauma)
PEM + QuickDash
Hand—carpal tunnel
PEM + Boston CTQ
Wrist—rheumatoid
PEM + PRWHE + brief MHQ
Wrist—general conditions
PEM + PRWHE
Trauma (wrist /carpal injury)
PEM + PRWHE
ENT
Tonsillectomy
T-14
Rhinosinusitis
SNOT-22
Ophthalmology
Cataract
CatPROM5 (original collection via CatQuest-9 s
Cancer
Lung cancer
EORTC QLQ-C30 + EORTC QLQ-LC13
Neuro endocrine tumours (NETs)
EORTC QLQ-C30—EORTC GI.NET21 + Bristol stool chart
Prostate cancer
EPIC 26
Dermatology
General dermatology (rashes)
DLQI
Cardiac
Heart failure
KCCQ-12 + PROMIS SF + PHQ-2
Boston CTQ Boston carpal tunnel syndrome questionnaire [36], Brief MHQ brief michigan hand questionnaire [37], CatPROM5 [38]; CatQuest-9S [39]; DLQI Dermatology Quality-of-Life Index [40], EORTC QLQ-C30 The European Organization for Research and Treatment of Cancer Quality-of-Life Core Questionnaire 30 [41], EORTC QLQ-GI.NET21 European Organization for research and treatment of cancer quality-of-life questionnaire—neuroendocrine carcinoid module [42], EORTC QLQ-LC13 European organization for research and treatment of cancer quality-of-life questionnaire – lung cancer module [43]; EPIC 26 Expanded Prostate Cancer Index Composite-26 [44], EQ-5D-5L EQ-5D- 5 level [23], iHOT-12 12-item International hip outcome tool [45], IKDC International knee documentation committee subjective knee evaluation form [46], KCCQ-12 Kansas City cardiomyopathy questionnaire [47], Kujala Kujala anterior knee pain scale [48], KOOS knee injury and osteoarthritis outcome score [49], MOxFQ the manchester-oxford foot questionnaire [50], myPOS myeloma-specific palliative care outcome scale [51], NHS Wales PREM NHS Wales experience: patient-reported experience measure [52], OES The Oxford elbow score [53], OHS The Oxford hip score [54], OKS The Oxford knee score [55], OKS—APQ The Oxford knee score activity and participation questionnaire [56], OSIS The Oxford shoulder instability score [57], OSS The Oxford shoulder score [58], PEM patient evaluation measure [59], HQ-2 patient health questionnaire [60], PRWHE patient-rated wrist/hand evaluation [61], PROMIS SF PROMIS scale v1.2—global health [62], QuickDASH the disability of the arm, shoulder and hand score [63], SNOT-22 sino-nasal outcome test [64], T-14 paediatric throat disorders outcome test, [65] = Tegner activity scale [66], URAM Unite´ Rhumatologique des Affections de la Main scale [67], WPAI work productivity and activity impairment questionnaire [25]
To date, over 60,000 patient submissions have been received comprising over 110,000 individual PROMs and PREMs.

Utilisation of PROMs data

Patients are currently able to receive a copy of their response following completion, which can be printed. Their responses are automatically saved into their own patient record for clinical use on an individual basis, e.g. during the consultation to inform the clinical team, enhance the patient–clinician discussion and improve opportunities for shared decision making. This information allows the patient to monitor their own health as a snapshot and over a period of time and allows the clinician to understand aspects of health which are most problematic to the individual patient. This can highlight areas of health which might otherwise have gone unnoticed. It can also be used to manage patient expectations of the potential outcomes of treatment and support discussions on the impact of a healthy lifestyle.
Availability of PROMs to clinical teams is beginning to help drive discussions regarding service transformation, and the introduction of PROMs collection within orthopaedics in Cardiff & Vale UHB has reduced the need for low-value appointments by 70% [19]. Other preliminary work involves remotely reviewing patients using their PROM responses at six months post-surgery to determine if they require a hospital appointment. Early analysis from one organisation suggests that fewer patients than expected require a face-to-face visit, which could significantly reduce follow-up clinic pressure. Linked collated data are also in the early stages of being analysed for clinical groups and governmental use, with the exploration of the impact of lifestyle choices such as smoking status, alcohol use, BMI and exercise on health-related quality of life. Whilst these analyses are driving discussions on future improvements, helping to pose new questions and encouraging engagement with the programme, we recognise that such analysis needs a larger dataset to address issues such as confounders, missing data and bias. However, these kinds of questions fit well with the VBHC agenda and could illustrate how improved symptoms can be achieved effectively by health management initiatives such as weight loss. The PROMs data collected are still in its infancy and will need time to develop; however, as it matures, the availability of a national dataset has the potential to support quality improvement work [68], burden of illness studies [69], and comparative and cost-effectiveness research [70].

Current status and moving forwards

The PPEP has recently been adopted into the national VBHC Programme in Wales within the Value in Health (ViH) team, to support its approach to delivering prudent healthcare and achieving the best possible healthcare outcomes for our population with the resources that we have [71]. As it extends across Wales, data collection and analysis support work to identify and reduce unwarranted variation in services and outcomes by using PROMs to pinpoint where variation occurs in different areas of care. These include variations in pre-operative health and outcomes of treatment. This knowledge can subsequently lead to positive service delivery changes and is illustrated by independent work carried out in ABUHB where the use of PROMs and activity-based costing was used to identify the treatment pathway that offered better outcomes at a lower cost within the memory assessment services [19]. Although the data we currently hold is too immature to be used in high-level decision making, we are able to start to use it on an individual patient level while it grows, allowing us to developing our understanding.
ABUHB is also collecting PROMs on a commercial system set up in parallel with the national platform, and this has offered flexibility and additional learning opportunities. Under VBHC and the ViH Programme, the national platform will be one of an array of patient communication systems with various uses, and there will continue to be a number of collection systems in place to offer choice to users. Importantly, data will be collected to a common standard and fed into a national data repository for linkage and analysis. The aim to collate this data on a national basis is supported by a recent WG Health Circular which requires all NHS Wales health boards and trusts to consistently submit clinical audit and PROMs data, and to support the flow of this data to NWIS for national use [72].
In order to utilise the data collected under the umbrella of ViH, a range of stakeholder groups continue to be involved in the evolving analytical plan. As well as analytical teams within individual health boards, there is ongoing input from the ViH in-house analytical team, colleagues from the Finance Delivery Unit (FDU) and both technical and data visualisation teams within NWIS. These teams are able to bring a range of skills and experience to the programme which will allow us to consider and deal with ongoing complications including data quality, mixed modes of administration, goals, case-mix adjustment, data linkage and standardised rules and guidelines for analysis [29]. We continue to work with clinical and analytical teams across Wales to ensure that we are able to identify priority areas and produce meaningful outputs.
The national platform continues to improve, and current developments within ViH focuses on data visualisation to support shared, informed decision making. PROMs responses available within the patient record will allow clinicians to visualise an individual’s PROMs responses over time and highlight where symptoms or problems are improving or worsening using data visualisations such as Red, Amber, Green alerts and arrow systems. These can allow clinicians to easily see how symptoms are responding to treatment and help identify changes in aspects of health. As well as allowing clinicians to monitor changes, it also provides a clear visual tool to support one-to-one discussions and shared decision making with patients in the clinic environment. This work is being piloted in lung cancer and will allow clinical teams to closely monitor patient symptoms to help focus the clinic appointment on the most relevant discussions and treatment decisions. Data dashboards are also being finalised which allow clinical teams to visualise the collated data available for specific conditions so that they can easily assess groups of patients at different stages of care and compare variables such as gender, stage of disease (if applicable), health board and age. This work has involved close collaboration between technical teams and clinicians from each speciality in order to produce a bespoke output for each specialism. A screenshot of the prototype of one data dashboard is available as an example in Fig. 3. As we aim to increase the use of the system to support an improvement in response rates, the use of a text reminder system has been piloted. This can send out automated messages to patients reminding them to complete a PROM before their appointment and is being tested to assess the effect on response rates.
We continue to improve the usability of the system and dataset through a constant process of review and refinement. Work is planned to improve the patients’ view of their own data so they can also view longitudinal completions.

Discussion

The programme has overcome a range of technical and practical difficulties throughout implementation and is functioning as intended, integrating with other clinical platforms. The use of PROMs during the clinic appointment is putting patients at the centre of care by ensuring that they are fully involved in consultation discussions and decision-making processes. Imminent developments such as the introduction of data visualisation tools will make it easier to utilise and illustrate data in an accessible and meaningful way. Evidence suggests that sharing data derived from PROMs collection can improve patient engagement, encouraging patients to be more engaged and participate more actively in their healthcare [22].

Current weaknesses

The “in-clinic” collection system is still in use in some areas and lacks some of the functionality of the remote system. Ongoing work to maximise the availability of the remote collection system will allow teams to migrate over to this system so that the in-clinic system can be retired. Currently, generic PROMs data collection has dominated, and despite its growing use, pre- and post-treatment condition-specific data are limited. To facilitate case-mix and cohort analysis for decision making, it is important to have larger datasets which take time to accumulate. This may delay use of the data for some purposes while the data mature. In addition, the data are complex and are available to a number of end users; therefore, it is important that methodologies are developed to facilitate reproducible reporting and that reporting methods are transparent and consistent to prevent discrepancies between organisations.
There are remaining difficulties in accurately determining response rates due to a number of complex factors [29], but it is estimated that our response rates are currently low while the platform has been overcoming initial developmental challenges. This has allowed us to progress the platform to its current status without raising expectations prematurely. Now that it is widely available we will increase patient and clinician outreach to improve response rates. Electronic data collection may disadvantage some users [73], with a 2018 realist synthesis identifying a “digital divide”, leading to inequities in the ability to access and gain from digital innovation [74]. While the reasons for this are complex, factors include education, income and generational status as well as chronological age. Similarly, findings from a recent UK study suggest that older people and those with a long-standing illnesses or disabilities are less likely to have internet access [75] which may be a barrier to their ability to interact with the system. Further work is required to understand the factors leading to potential digital inequalities so that steps can be taken to mitigate against them.
As noted, there has been uneven implementation across the HBs with some collecting across all conditions, some in specific specialities and one currently not using the national platform at all but using an alternative commercial system. A number of HBs are using the national platform and commercial systems in tandem. This has led to additional complexities in collecting data into a single repository both from technical and data protection viewpoints. The numerous different patient administration systems (even within a single health board), levels of engagement, and requirements for additional functionality have been among the barriers to a more comprehensive roll out. However, the different options for collection have allowed health boards to develop their systems in a way that best suits their own needs, priorities and technical requirements. We have focused initial work in areas where clinical staff has been most engaged to allow us to test functionality, identify issues within smaller scale pilots and showcase outputs. The national system is available across all Wales for HBs to use if they choose, and its development has, thus, met the original aims of the programme. We are continuing to work with clinical and technical teams to improve functionality and clinical interest. As uptake spreads, additional electronic collection platforms such as commercially available systems and additional PROMs tools will become available which over time will allow groups to have a flexible approach and support growth of national collection.

Strengths and benefits

The use of an electronic system keeps costs low as no manual data input is required. This also reduces the risk of human error and time spent on data cleaning [76], while providing instantaneous feedback. The nationalisation of collection has also reduced costs and burdens related to PROM licensing as we have been able to negotiate licences to cover collection across a large geographic area and prevented the need for each user (e.g. health board) to obtain individual licences. With the expertise of the teams involved, we have been able to translate and validate most tools in-house. With recent quotations from external providers to translate and validate a single tool for in the region of $7,000, this provides a significant cost saving. Teams within the programme have provided expert support in the technical development and implementation of the platform, and there is capacity to develop targeted reports for clinical teams and national audiences.
Although electronic PROMs capture has potential drawbacks regarding accessibility, data show that use amongst older people, for example, has increased substantially in recent years [73]. In order to help reduce access issues and to improve usability, our system allows a third party, such as a family member, friend, carer or clinical staff to assist with completion. We have also supported a number of clinics in purchasing electronic tablets to use in hospital waiting rooms so patients can complete PROMs while they wait for their appointment. In some areas, this is being further supported by volunteers to help patients who require assistance. It is likely that with time, internet access and IT literacy will increase which may improve our collection rate. We also plan to provide access to paper PROMs in some areas to improve collection rates.
Clinicians and healthcare providers worldwide are encouraged to collect patient data with groups such as ICHOM developing standard sets to facilitate collection and comparison [77]. The practicalities of this can be challenging for busy clinical teams with already limited resources. The national programme has allowed clinical groups in Wales to implement PROMs collection with minimal input, and feedback from clinical groups has been positive with patients also providing encouraging feedback on the process.
Traditional PROMs collection such as the NHS England National PROMs programme has been remote from direct patient care [78]. Our system is directly linked to patient care as data are easily accessible to the patient and their clinician through platforms such as the Welsh Care Records Service and NWIS’ Clinician’s Portal. This can prove beneficial in the clinic environment [79]. As well as providing an additional use of the data, this helps make PROMs collection more relevant, which supports change management.

Learning

We have proven that Despite challenging, it is feasible to incorporate electronic PROMs collection across organisations with different clinical systems, and to introduce their use to inform daily clinical care and decision making. For example, findings from the data on differences in outcomes by implant brand will allow colleagues in NHS Wales to make informed decisions during their procurement processes. As the data grow, we will be able to identify which healthcare services offered in Wales provide the best outcomes based on data provided by patients themselves. We are collecting data from a large number of patients across a broad range of clinical conditions. For some of these specialisms, PROMs use in clinical care is novel, and our work throughout the country is providing us with an insight into how our patients feel in a way that has not yet been fully investigated outside the research arena.
The amalgamation of different collection platforms under VBHC has allowed us to share knowledge and experiences across Wales. The development of data visualisation tools and data dashboards, plus the use of virtual reviews illustrates how PROMs collection can be an effective method of enhancing communication between the clinician and patient, both within and outside the clinic setting. We have involved clinical teams throughout the development of our programme including on the reporting and data visualisation work. There is currently significant interest from staff who are keen to access the PROMs data to inform their work. The use of virtual reviews is spreading which has the potential for additional clinics to prioritise clinic appointments and to free up clinic space for those in most need. As we start to resume routine care in the NHS following the Covid-19 outbreak, the use of remote methods of assessing health has become even more beneficial to prioritise care and reduce the need for unnecessary hospital visits. As we continue to embed PROMs into direct patient care, we will work with clinical teams and patients to raise the profile of the national PROMs platform, to improve the response rate and increase awareness of the potential of the system to improve patient care. As there are a number of clinical systems across Wales, setting central triggers for PROMs collection is challenging and may not be the most appropriate way forward if we wish to remodel care. Our experience to date suggests that communications should be locally facilitated but driven according to nationally agreed schedules to ensure that data are comparable whilst providing flexibility to fit local requirements and systems.
Perhaps most importantly, we have learned that patients want to be able to track their own outcomes and see the progress they are making over time. This would appear to be one method of involving patients in the process and providing an incentive to complete their PROMs. Data visualisation work will provide further opportunity to continue to improve communications with patients through involving patients in design processes to ensure that data are being presented in an accessible and engaging format. Work which allows patients to measure their own health and health changes against other similar patient cohorts may also help to improve engagement. Our ongoing work will gather patient feedback on their experience of this process.

Acknowledgements

We would like to thank all of the patients and clinicians who have been involved in the programme to date.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

PROMs collection is being rolled out as part of standard care in NHS Wales and as such does not require ethical approval or patient consent. Analysis is of anonymised datasets.
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Literatuur
2.
go back to reference Donald, A. (2001). What is quality of life? London: Hayward Medical Communications. Donald, A. (2001). What is quality of life? London: Hayward Medical Communications.
3.
go back to reference Mayo, N. (2015). Dictionary of quality of life and health outcomes measurement. Milwaukee: International Society for Quality of Life Research. Mayo, N. (2015). Dictionary of quality of life and health outcomes measurement. Milwaukee: International Society for Quality of Life Research.
5.
go back to reference Rolfson, O., Kärrholm, J., Dahlberg, L., & Garellick, G. (2011). Patient-reported outcomes in the Swedish hip arthroplasty register: Results of a Nationwide Prospective Observational Study. The Journal of Bone and Joint Surgery, 93(7), 867–875.PubMedCrossRef Rolfson, O., Kärrholm, J., Dahlberg, L., & Garellick, G. (2011). Patient-reported outcomes in the Swedish hip arthroplasty register: Results of a Nationwide Prospective Observational Study. The Journal of Bone and Joint Surgery, 93(7), 867–875.PubMedCrossRef
6.
go back to reference Nilsson, E., Orwelius, L., & Kristenson, M. (2016). Patient-reported Outcomes in the Swedish National Quality Registers. Journal of Internal Medicine, 279(2), 141–153.PubMedCrossRef Nilsson, E., Orwelius, L., & Kristenson, M. (2016). Patient-reported Outcomes in the Swedish National Quality Registers. Journal of Internal Medicine, 279(2), 141–153.PubMedCrossRef
7.
go back to reference England, N. H. S. (2018). The National patient reported outcome measures (PROMs) programme. Bite-size guide to patient insight. London: NHS England. England, N. H. S. (2018). The National patient reported outcome measures (PROMs) programme. Bite-size guide to patient insight. London: NHS England.
8.
go back to reference Field, J., Holmes, M. M., & Newell, D. (2019). PROMs data: Can it be used to make decisions for individual patients? A narrative review. Patient Related Outcome Measures, 10, 233–241.PubMedPubMedCentralCrossRef Field, J., Holmes, M. M., & Newell, D. (2019). PROMs data: Can it be used to make decisions for individual patients? A narrative review. Patient Related Outcome Measures, 10, 233–241.PubMedPubMedCentralCrossRef
9.
go back to reference Devlin, N. J., & Appleby, J. (2010). Getting the most out of PROMS. London: The Kings Fund. Devlin, N. J., & Appleby, J. (2010). Getting the most out of PROMS. London: The Kings Fund.
10.
go back to reference Calvert, M., Kyte, D., Price, G., Valderas, J. M., & Hjollund, N. H. (2019). Maximising the impact of patient reported outcome assessment for patients and society. British Medical Journal, 364, k5267.PubMedCrossRef Calvert, M., Kyte, D., Price, G., Valderas, J. M., & Hjollund, N. H. (2019). Maximising the impact of patient reported outcome assessment for patients and society. British Medical Journal, 364, k5267.PubMedCrossRef
11.
go back to reference Kingsley, C., & Patel, S. (2017). Patient-reported outcome measures and patient-reported experience measures. BJA Education, 17(4), 137–144.CrossRef Kingsley, C., & Patel, S. (2017). Patient-reported outcome measures and patient-reported experience measures. BJA Education, 17(4), 137–144.CrossRef
12.
go back to reference Black, N., Varaganum, M., & Hutchings, A. (2014). Relationship between patient reported experience (PREMs) and patient reported outcomes (PROMs) in elective surgery. BMJ Quality & Safety, 23(7), 534–542.CrossRef Black, N., Varaganum, M., & Hutchings, A. (2014). Relationship between patient reported experience (PREMs) and patient reported outcomes (PROMs) in elective surgery. BMJ Quality & Safety, 23(7), 534–542.CrossRef
13.
go back to reference Porter, M. E., & Teisberg, E. O. (2006). Redefining health care: Creating value-based competition on results. Boston: Harvard Business Press. Porter, M. E., & Teisberg, E. O. (2006). Redefining health care: Creating value-based competition on results. Boston: Harvard Business Press.
14.
go back to reference European Commission. (2019). Defining value in “value-based healthcare”. Report of the Expert Panel on effective ways of investing in Health (EXPH). Luxembourg: Publications Office of the European Union: European Commission. European Commission. (2019). Defining value in “value-based healthcare”. Report of the Expert Panel on effective ways of investing in Health (EXPH). Luxembourg: Publications Office of the European Union: European Commission.
15.
go back to reference Gray, M., Airoldi, M., Bevan, G., & McCulloch, P. (2017). Deriving optimal value from each system. Journal of the Royal Society of Medicine, 110(7), 283–286.PubMedPubMedCentralCrossRef Gray, M., Airoldi, M., Bevan, G., & McCulloch, P. (2017). Deriving optimal value from each system. Journal of the Royal Society of Medicine, 110(7), 283–286.PubMedPubMedCentralCrossRef
16.
go back to reference Porter, M. E. (2010). What is value in health care? New England Journal of Medicine, 363(26), 2477–2481.CrossRef Porter, M. E. (2010). What is value in health care? New England Journal of Medicine, 363(26), 2477–2481.CrossRef
17.
go back to reference Economist Intelligence Unit. (2016). Value-based healthcare: A global assessment. Findings and methodology. London: Economist Intelligence Unit. Economist Intelligence Unit. (2016). Value-based healthcare: A global assessment. Findings and methodology. London: Economist Intelligence Unit.
18.
go back to reference Bevan Commission. (2015). A prudent approach to health: Prudent health principles. Swansea, UK: Bevan Commission. Bevan Commission. (2015). A prudent approach to health: Prudent health principles. Swansea, UK: Bevan Commission.
19.
go back to reference Chief Medical Officer for Wales. (2019). Valuing our health. Chief Medical Officer for Wales annual report 2018–2019. Chief Medical Officer for Wales. (2019). Valuing our health. Chief Medical Officer for Wales annual report 2018–2019.
20.
go back to reference Kings Health Partners. (2018). Value based healthcare: Learning from practice. Caerleon: Aneurin Bevan University Health Board. Kings Health Partners. (2018). Value based healthcare: Learning from practice. Caerleon: Aneurin Bevan University Health Board.
21.
go back to reference O’Connell, S., Palmer, R., Withers, K., Saha, N., Puntoni, S., & Carolan-Rees, G. (2018). Requirements for the collection of electronic PROMS either “in clinic” or “at home” as part of the PROMs, PREMs and Effectiveness Programme (PPEP) in Wales: A feasibility study using a generic PROM tool. Pilot and Feasibility Studies, 4(1), 90.PubMedPubMedCentralCrossRef O’Connell, S., Palmer, R., Withers, K., Saha, N., Puntoni, S., & Carolan-Rees, G. (2018). Requirements for the collection of electronic PROMS either “in clinic” or “at home” as part of the PROMs, PREMs and Effectiveness Programme (PPEP) in Wales: A feasibility study using a generic PROM tool. Pilot and Feasibility Studies, 4(1), 90.PubMedPubMedCentralCrossRef
22.
go back to reference Baumhauer, J. F., & Bozic, K. J. (2016). Value-based healthcare: Patient-reported outcomes in clinical decision making. Clinical Orthopaedics and Related Research, 474(6), 1375–1378.PubMedPubMedCentralCrossRef Baumhauer, J. F., & Bozic, K. J. (2016). Value-based healthcare: Patient-reported outcomes in clinical decision making. Clinical Orthopaedics and Related Research, 474(6), 1375–1378.PubMedPubMedCentralCrossRef
23.
go back to reference Herdman, M., Gudex, C., Lloyd, A., Janssen, M., Kind, P., Parkin, D., et al. (2011). Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Quality of Life Research, 20(10), 1727–1736.PubMedPubMedCentralCrossRef Herdman, M., Gudex, C., Lloyd, A., Janssen, M., Kind, P., Parkin, D., et al. (2011). Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Quality of Life Research, 20(10), 1727–1736.PubMedPubMedCentralCrossRef
25.
go back to reference Reilly, M. C., Zbrozek, A. S., & Dukes, E. M. (1993). The validity and reproducibility of a work productivity and activity impairment instrument. Pharmacoeconomics, 4(5), 353–365.PubMedCrossRef Reilly, M. C., Zbrozek, A. S., & Dukes, E. M. (1993). The validity and reproducibility of a work productivity and activity impairment instrument. Pharmacoeconomics, 4(5), 353–365.PubMedCrossRef
26.
go back to reference Murray, D., Fitzpatrick, R., Rogers, K., Pandit, H., Beard, D., Carr, A., et al. (2007). The use of the Oxford hip and knee scores. The Journal of Bone and Joint Surgery, 89(8), 1010–1014.PubMedCrossRef Murray, D., Fitzpatrick, R., Rogers, K., Pandit, H., Beard, D., Carr, A., et al. (2007). The use of the Oxford hip and knee scores. The Journal of Bone and Joint Surgery, 89(8), 1010–1014.PubMedCrossRef
29.
go back to reference Palmer, R. I., Withers, K. L., Willacott, A., & Carolan-Rees, G. (2020). Gwella gwasanaethau gofal iechyd â chymorth cleifion: Casglu PROMs a PREMs ledled Cymru—Improving healthcare services with patients’ help: Collecting PROMs and PREMs throughout Wales. Gwerddon, 30, 40–67. Palmer, R. I., Withers, K. L., Willacott, A., & Carolan-Rees, G. (2020). Gwella gwasanaethau gofal iechyd â chymorth cleifion: Casglu PROMs a PREMs ledled Cymru—Improving healthcare services with patients’ help: Collecting PROMs and PREMs throughout Wales. Gwerddon, 30, 40–67.
30.
go back to reference Welsh Government. (2013). Your NHS Wales experience questionnaire. Cardiff: Welsh Government. Welsh Government. (2013). Your NHS Wales experience questionnaire. Cardiff: Welsh Government.
31.
go back to reference Withers, K. L., Puntoni, S., O’Connell, S., Palmer, R. I., & Carolan-Rees, G. (2018). Standardising the collection of patient-reported experience measures to facilitate benchmarking and drive service improvement. Patient Experience Journal, 5(3), 16–24.CrossRef Withers, K. L., Puntoni, S., O’Connell, S., Palmer, R. I., & Carolan-Rees, G. (2018). Standardising the collection of patient-reported experience measures to facilitate benchmarking and drive service improvement. Patient Experience Journal, 5(3), 16–24.CrossRef
32.
go back to reference Cymru, Cynulliad Cenedlaethol. (2011). National Assembly for Wales. Mesur y Gymraeg (Cymru) 2011/Welsh Language (Wales) Measure 2011. Cymru, Cynulliad Cenedlaethol. (2011). National Assembly for Wales. Mesur y Gymraeg (Cymru) 2011/Welsh Language (Wales) Measure 2011.
33.
go back to reference Wild, D., Grove, A., Martin, M., Eremenco, S., McElroy, S., Verjee-Lorenz, A., et al. (2005). Principles of good practice for the translation and cultural adaptation process for patient-reported outcomes (PRO) measures: Report of the ISPOR task force for translation and cultural adaptation. Value in Health, 8(2), 94–104.PubMedCrossRef Wild, D., Grove, A., Martin, M., Eremenco, S., McElroy, S., Verjee-Lorenz, A., et al. (2005). Principles of good practice for the translation and cultural adaptation process for patient-reported outcomes (PRO) measures: Report of the ISPOR task force for translation and cultural adaptation. Value in Health, 8(2), 94–104.PubMedCrossRef
34.
go back to reference Coons, S. J., Gwaltney, C. J., Hays, R. D., Lundy, J. J., Sloan, J. A., Revicki, D. A., et al. (2009). Recommendations on evidence needed to support measurement equivalence between electronic and paper-based patient-reported outcome (PRO) measures: ISPOR ePRO Good Research Practices Task Force report. Value in Health, 12(4), 419–429.PubMedCrossRef Coons, S. J., Gwaltney, C. J., Hays, R. D., Lundy, J. J., Sloan, J. A., Revicki, D. A., et al. (2009). Recommendations on evidence needed to support measurement equivalence between electronic and paper-based patient-reported outcome (PRO) measures: ISPOR ePRO Good Research Practices Task Force report. Value in Health, 12(4), 419–429.PubMedCrossRef
36.
go back to reference Levine, D. W., Simmons, B. P., Koris, M. J., Daltroy, L. H., Hohl, G. G., Fossel, A. H., et al. (1993). A self-administered questionnaire for the assessment of severity of symptoms and functional status in carpal tunnel syndrome. Journal Bone Joint Surgery American Volume, 75(11), 1585–1592.CrossRef Levine, D. W., Simmons, B. P., Koris, M. J., Daltroy, L. H., Hohl, G. G., Fossel, A. H., et al. (1993). A self-administered questionnaire for the assessment of severity of symptoms and functional status in carpal tunnel syndrome. Journal Bone Joint Surgery American Volume, 75(11), 1585–1592.CrossRef
37.
go back to reference Waljee, J. F., Kim, H. M., Burns, P. B., & Chung, K. C. (2011). Development of a brief, 12-item version of the Michigan Hand Questionnaire. Plastic & Reconstructive Surgery, 128(1), 208–220.CrossRef Waljee, J. F., Kim, H. M., Burns, P. B., & Chung, K. C. (2011). Development of a brief, 12-item version of the Michigan Hand Questionnaire. Plastic & Reconstructive Surgery, 128(1), 208–220.CrossRef
38.
go back to reference Sparrow, J. M., Grzeda, M. T., Frost, N. A., Johnston, R. L., Liu, C. S. C., Edwards, L., et al. (2018). Cataract surgery patient-reported outcome measures: A head-to-head comparison of the psychometric performance and patient acceptability of the Cat-PROM5 and Catquest-9SF self-report questionnaires. Eye (London, England), 32(4), 788–795.CrossRef Sparrow, J. M., Grzeda, M. T., Frost, N. A., Johnston, R. L., Liu, C. S. C., Edwards, L., et al. (2018). Cataract surgery patient-reported outcome measures: A head-to-head comparison of the psychometric performance and patient acceptability of the Cat-PROM5 and Catquest-9SF self-report questionnaires. Eye (London, England), 32(4), 788–795.CrossRef
39.
go back to reference Lundström, M., & Pesudovs, K. (2009). Catquest-9SF patient outcomes questionnaire: Nine-item short-form Rasch-scaled revision of the Catquest questionnaire. Journal of cataract and refractive surgery, 35(3), 504–513.PubMedCrossRef Lundström, M., & Pesudovs, K. (2009). Catquest-9SF patient outcomes questionnaire: Nine-item short-form Rasch-scaled revision of the Catquest questionnaire. Journal of cataract and refractive surgery, 35(3), 504–513.PubMedCrossRef
40.
go back to reference Finlay, A. Y., & Khan, G. K. (1994). Dermatology Life Quality Index (DLQI)–a simple practical measure for routine clinical use. Clinical and experimental dermatology, 19(3), 210–216.PubMedCrossRef Finlay, A. Y., & Khan, G. K. (1994). Dermatology Life Quality Index (DLQI)–a simple practical measure for routine clinical use. Clinical and experimental dermatology, 19(3), 210–216.PubMedCrossRef
41.
go back to reference Niezgoda, H. E., & Pater, J. L. (1993). A validation study of the domains of the core EORTC quality of life questionnaire. Quality of Life Research, 2(5), 319–325.PubMedCrossRef Niezgoda, H. E., & Pater, J. L. (1993). A validation study of the domains of the core EORTC quality of life questionnaire. Quality of Life Research, 2(5), 319–325.PubMedCrossRef
42.
go back to reference Yadegarfar, G., Friend, L., Jones, L., Plum, L. M., Ardill, J., Taal, B., et al. (2013). Validation of the EORTC QLQ-GINET21 questionnaire for assessing quality of life of patients with gastrointestinal neuroendocrine tumours. British Journal of Cancer, 108(2), 301–310.PubMedPubMedCentralCrossRef Yadegarfar, G., Friend, L., Jones, L., Plum, L. M., Ardill, J., Taal, B., et al. (2013). Validation of the EORTC QLQ-GINET21 questionnaire for assessing quality of life of patients with gastrointestinal neuroendocrine tumours. British Journal of Cancer, 108(2), 301–310.PubMedPubMedCentralCrossRef
43.
go back to reference Bergman, B., Aaronson, N. K., Ahmedzai, S., Kaasa, S., & Sullivan, M. (1994). The EORTC QLQ-LC13: a modular supplement to the EORTC Core Quality of Life Questionnaire (QLQ-C30) for use in lung cancer clinical trials EORTC Study Group on Quality of Life. European Journal of Cancer, 30(5), 635–642.CrossRef Bergman, B., Aaronson, N. K., Ahmedzai, S., Kaasa, S., & Sullivan, M. (1994). The EORTC QLQ-LC13: a modular supplement to the EORTC Core Quality of Life Questionnaire (QLQ-C30) for use in lung cancer clinical trials EORTC Study Group on Quality of Life. European Journal of Cancer, 30(5), 635–642.CrossRef
44.
go back to reference Wei, J. T., Dunn, R. L., Litwin, M. S., Sandler, H. M., & Sanda, M. G. (2000). Development and validation of the expanded prostate cancer index composite (EPIC) for comprehensive assessment of health-related quality of life in men with prostate cancer. Urology, 56(6), 899–905.PubMedCrossRef Wei, J. T., Dunn, R. L., Litwin, M. S., Sandler, H. M., & Sanda, M. G. (2000). Development and validation of the expanded prostate cancer index composite (EPIC) for comprehensive assessment of health-related quality of life in men with prostate cancer. Urology, 56(6), 899–905.PubMedCrossRef
45.
go back to reference Griffin, D. R., Parsons, N., Mohtadi, N. G., & Safran, M. R. (2012). A short version of the International Hip Outcome Tool (iHOT-12) for use in routine clinical practice. Arthroscopy, 28(5), 611–616.PubMedCrossRef Griffin, D. R., Parsons, N., Mohtadi, N. G., & Safran, M. R. (2012). A short version of the International Hip Outcome Tool (iHOT-12) for use in routine clinical practice. Arthroscopy, 28(5), 611–616.PubMedCrossRef
46.
go back to reference Irrgang, J. J., Anderson, A. F., Boland, A. L., Harner, C. D., Kurosaka, M., Neyret, P., et al. (2001). Development and validation of the international knee documentation committee subjective knee form. The American Journal of Sports Medicine, 29(5), 600–613.PubMedCrossRef Irrgang, J. J., Anderson, A. F., Boland, A. L., Harner, C. D., Kurosaka, M., Neyret, P., et al. (2001). Development and validation of the international knee documentation committee subjective knee form. The American Journal of Sports Medicine, 29(5), 600–613.PubMedCrossRef
47.
go back to reference Spertus, J. A., & Jones, P. G. (2015). Development and validation of a short version of the Kansas city cardiomyopathy questionnaire. Circulation Cardiovasculat Quality & Outcomes, 8(5), 469–476.CrossRef Spertus, J. A., & Jones, P. G. (2015). Development and validation of a short version of the Kansas city cardiomyopathy questionnaire. Circulation Cardiovasculat Quality & Outcomes, 8(5), 469–476.CrossRef
48.
go back to reference Kujala, U. M., Jaakkola, L. H., Koskinen, S. K., Taimela, S., Hurme, M., & Nelimarkka, O. (1993). Scoring of patellofemoral disorders. Arthroscopy, 9(2), 159–163.PubMedCrossRef Kujala, U. M., Jaakkola, L. H., Koskinen, S. K., Taimela, S., Hurme, M., & Nelimarkka, O. (1993). Scoring of patellofemoral disorders. Arthroscopy, 9(2), 159–163.PubMedCrossRef
49.
go back to reference Roos, E. M., Roos, H. P., Lohmander, L. S., Ekdahl, C., & Beynnon, B. D. (1998). Knee injury and osteoarthritis outcome score (KOOS)–development of a self-administered outcome measure. Journal of Orthopaedics and Sports Physical Therapy, 28(2), 88–96.CrossRef Roos, E. M., Roos, H. P., Lohmander, L. S., Ekdahl, C., & Beynnon, B. D. (1998). Knee injury and osteoarthritis outcome score (KOOS)–development of a self-administered outcome measure. Journal of Orthopaedics and Sports Physical Therapy, 28(2), 88–96.CrossRef
50.
go back to reference Dawson, J., Coffey, J., Doll, H., Lavis, G., Cooke, P., Herron, M., et al. (2006). A patient-based questionnaire to assess outcomes of foot surgery: Validation in the context of surgery for hallux valgus. Quality of Life Research, 15(7), 1211–1222.PubMedCrossRef Dawson, J., Coffey, J., Doll, H., Lavis, G., Cooke, P., Herron, M., et al. (2006). A patient-based questionnaire to assess outcomes of foot surgery: Validation in the context of surgery for hallux valgus. Quality of Life Research, 15(7), 1211–1222.PubMedCrossRef
51.
go back to reference Osborne, T. R., Ramsenthaler, C., Schey, S. A., Siegert, R. J., Edmonds, P. M., & Higginson, I. J. (2015). Improving the assessment of quality of life in the clinical care of myeloma patients: the development and validation of the Myeloma Patient Outcome Scale (MyPOS). BMC Cancer, 15, 280.PubMedPubMedCentralCrossRef Osborne, T. R., Ramsenthaler, C., Schey, S. A., Siegert, R. J., Edmonds, P. M., & Higginson, I. J. (2015). Improving the assessment of quality of life in the clinical care of myeloma patients: the development and validation of the Myeloma Patient Outcome Scale (MyPOS). BMC Cancer, 15, 280.PubMedPubMedCentralCrossRef
52.
go back to reference Welsh Government. (2018). Welsh health circular: Validated core service user questions and updated framework for assuring service user experience. Cardiff: Welsh Government. Welsh Government. (2018). Welsh health circular: Validated core service user questions and updated framework for assuring service user experience. Cardiff: Welsh Government.
53.
go back to reference Dawson, J., Doll, H., Boller, I., Fitzpatrick, R., Little, C., Rees, J., et al. (2008). The development and validation of a patient-reported questionnaire to assess outcomes of elbow surgery. The Journal of Bone and Joint Surgery British volume, 90(4), 466–473.PubMedCrossRef Dawson, J., Doll, H., Boller, I., Fitzpatrick, R., Little, C., Rees, J., et al. (2008). The development and validation of a patient-reported questionnaire to assess outcomes of elbow surgery. The Journal of Bone and Joint Surgery British volume, 90(4), 466–473.PubMedCrossRef
54.
go back to reference Dawson, J., Fitzpatrick, R., Carr, A., & Murray, D. (1996). Questionnaire on the perceptions of patients about total hip replacement. The Journal of Bone Joint Surgery British volume, 78(2), 185–190.PubMedCrossRef Dawson, J., Fitzpatrick, R., Carr, A., & Murray, D. (1996). Questionnaire on the perceptions of patients about total hip replacement. The Journal of Bone Joint Surgery British volume, 78(2), 185–190.PubMedCrossRef
55.
go back to reference Dawson, J., Fitzpatrick, R., Murray, D., & Carr, A. (1998). Questionnaire on the perceptions of patients about total knee replacement. The Journal of Bone Joint Surgery British Volume, 80(1), 63–69.PubMedCrossRef Dawson, J., Fitzpatrick, R., Murray, D., & Carr, A. (1998). Questionnaire on the perceptions of patients about total knee replacement. The Journal of Bone Joint Surgery British Volume, 80(1), 63–69.PubMedCrossRef
56.
go back to reference Dawson, J., Beard, D. J., McKibbin, H., Harris, K., Jenkinson, C., & Price, A. J. (2014). Development of a patient-reported outcome measure of activity and participation (the OKS-APQ) to supplement the Oxford knee score. Bone and Joint Journal, 96(3), 332–338.PubMedCrossRef Dawson, J., Beard, D. J., McKibbin, H., Harris, K., Jenkinson, C., & Price, A. J. (2014). Development of a patient-reported outcome measure of activity and participation (the OKS-APQ) to supplement the Oxford knee score. Bone and Joint Journal, 96(3), 332–338.PubMedCrossRef
57.
go back to reference Dawson, J., Fitzpatrick, R., & Carr, A. (1999). The assessment of shoulder instability. The development and validation of a questionnaire. The Journal of Bone Joint Surgery British, 81(3), 420–426.CrossRef Dawson, J., Fitzpatrick, R., & Carr, A. (1999). The assessment of shoulder instability. The development and validation of a questionnaire. The Journal of Bone Joint Surgery British, 81(3), 420–426.CrossRef
58.
go back to reference Dawson, J., Rogers, K., Fitzpatrick, R., & Carr, A. (2009). The Oxford shoulder score revisited. Archives of Orthopaedic and Trauma Surgery, 129(1), 119–123.PubMedCrossRef Dawson, J., Rogers, K., Fitzpatrick, R., & Carr, A. (2009). The Oxford shoulder score revisited. Archives of Orthopaedic and Trauma Surgery, 129(1), 119–123.PubMedCrossRef
59.
go back to reference Macey, A. C., Burke, F. D., Abbott, K., Barton, N. J., Bradbury, E., Bradley, A., et al. (1995). Outcomes of Hand Surgery. British Society for Surgery of the Hand. Journal of Hand Surgery (Edinburgh, Scotland), 20(6), 841–855.CrossRef Macey, A. C., Burke, F. D., Abbott, K., Barton, N. J., Bradbury, E., Bradley, A., et al. (1995). Outcomes of Hand Surgery. British Society for Surgery of the Hand. Journal of Hand Surgery (Edinburgh, Scotland), 20(6), 841–855.CrossRef
60.
go back to reference Arroll, B., Goodyear-Smith, F., Crengle, S., Gunn, J., Kerse, N., Fishman, T., et al. (2010). Validation of PHQ-2 and PHQ-9 to screen for major depression in the primary care population. Annals of Family Medicine, 8(4), 348–353.PubMedPubMedCentralCrossRef Arroll, B., Goodyear-Smith, F., Crengle, S., Gunn, J., Kerse, N., Fishman, T., et al. (2010). Validation of PHQ-2 and PHQ-9 to screen for major depression in the primary care population. Annals of Family Medicine, 8(4), 348–353.PubMedPubMedCentralCrossRef
61.
go back to reference MacDermid, J. C. (1996). Development of a scale for patient rating of wrist pain and disability. Journal of Hand Therapy, 9(2), 178–183.PubMedCrossRef MacDermid, J. C. (1996). Development of a scale for patient rating of wrist pain and disability. Journal of Hand Therapy, 9(2), 178–183.PubMedCrossRef
62.
go back to reference Katzan, I. L., & Lapin, B. (2018). PROMIS GH (patient-reported outcomes measurement information system global health) scale in stroke: A validation study. Stroke, 49(1), 147–154.PubMedCrossRef Katzan, I. L., & Lapin, B. (2018). PROMIS GH (patient-reported outcomes measurement information system global health) scale in stroke: A validation study. Stroke, 49(1), 147–154.PubMedCrossRef
63.
go back to reference Beaton, D. E., Wright, J. G., & Katz, J. N. (2005). Development of the QuickDASH: Comparison of three item-reduction approaches. Journal of Bone and Joint Surgery American Volume, 87(5), 1038–1046. Beaton, D. E., Wright, J. G., & Katz, J. N. (2005). Development of the QuickDASH: Comparison of three item-reduction approaches. Journal of Bone and Joint Surgery American Volume, 87(5), 1038–1046.
64.
go back to reference Hopkins, C., Gillett, S., Slack, R., Lund, V. J., & Browne, J. P. (2009). Psychometric validity of the 22-item Sinonasal Outcome Test. Clinical Otolaryngology, 34(5), 447–454.PubMedCrossRef Hopkins, C., Gillett, S., Slack, R., Lund, V. J., & Browne, J. P. (2009). Psychometric validity of the 22-item Sinonasal Outcome Test. Clinical Otolaryngology, 34(5), 447–454.PubMedCrossRef
65.
go back to reference Hopkins, C., Fairley, J., Yung, M., Hore, I., Balasubramaniam, S., & Haggard, M. (2010). The 14-item paediatric throat disorders outcome test: A valid, sensitive, reliable, parent-reported outcome measure for paediatric throat disorders. The Journal of Laryngology and Otology, 124(3), 306–314.PubMedCrossRef Hopkins, C., Fairley, J., Yung, M., Hore, I., Balasubramaniam, S., & Haggard, M. (2010). The 14-item paediatric throat disorders outcome test: A valid, sensitive, reliable, parent-reported outcome measure for paediatric throat disorders. The Journal of Laryngology and Otology, 124(3), 306–314.PubMedCrossRef
66.
go back to reference Tegner, Y., & Lysholm, J. (1985). Rating systems in the evaluation of knee ligament injuries. Clinical Orthopaedics & Related Research, 198, 43–49. Tegner, Y., & Lysholm, J. (1985). Rating systems in the evaluation of knee ligament injuries. Clinical Orthopaedics & Related Research, 198, 43–49.
67.
go back to reference Beaudreuil, J., Allard, A., Zerkak, D., Gerber, R. A., Cappelleri, J. C., Quintero, N., et al. (2011). Unité Rhumatologique des Affections de la Main (URAM) scale: Development and validation of a tool to assess Dupuytren’s disease-specific disability. Arthritis Care & Research (Hoboken), 63(10), 1448–1455.CrossRef Beaudreuil, J., Allard, A., Zerkak, D., Gerber, R. A., Cappelleri, J. C., Quintero, N., et al. (2011). Unité Rhumatologique des Affections de la Main (URAM) scale: Development and validation of a tool to assess Dupuytren’s disease-specific disability. Arthritis Care & Research (Hoboken), 63(10), 1448–1455.CrossRef
68.
go back to reference Partridge, T., Carluke, I., Emmerson, K., Partington, P., & Reed, M. (2016). Improving patient reported outcome measures (PROMs) in total knee replacement by changing implant and preserving the infrapatella fatpad: A quality improvement project. BMJ Open Quality, 5(1), u204088–u213767. Partridge, T., Carluke, I., Emmerson, K., Partington, P., & Reed, M. (2016). Improving patient reported outcome measures (PROMs) in total knee replacement by changing implant and preserving the infrapatella fatpad: A quality improvement project. BMJ Open Quality, 5(1), u204088–u213767.
69.
go back to reference Basch, E., Deal, A. M., Kris, M. G., Scher, H. I., Hudis, C. A., Sabbatini, P., et al. (2016). Symptom monitoring with patient-reported outcomes during routine cancer treatment: A randomized controlled trial. Journal of Clinical Oncology, 34(6), 557.PubMedCrossRef Basch, E., Deal, A. M., Kris, M. G., Scher, H. I., Hudis, C. A., Sabbatini, P., et al. (2016). Symptom monitoring with patient-reported outcomes during routine cancer treatment: A randomized controlled trial. Journal of Clinical Oncology, 34(6), 557.PubMedCrossRef
70.
go back to reference Appleby, J., Poteliakhoff, E., Shah, K., & Devlin, N. (2013). Using patient-reported outcome measures to estimate cost-effectiveness of hip replacements in English Hospitals. Journal of the Royal Society of Medicine, 106(8), 323–331.PubMedPubMedCentralCrossRef Appleby, J., Poteliakhoff, E., Shah, K., & Devlin, N. (2013). Using patient-reported outcome measures to estimate cost-effectiveness of hip replacements in English Hospitals. Journal of the Royal Society of Medicine, 106(8), 323–331.PubMedPubMedCentralCrossRef
72.
go back to reference Welsh Government. (2020). Welsh health circular: Value based healthcare programme—data requirements. Cardiff: Welsh Government. Welsh Government. (2020). Welsh health circular: Value based healthcare programme—data requirements. Cardiff: Welsh Government.
73.
go back to reference Age UK. (2016). The internet and older people in the UK–key statistics. London: Age UK. Age UK. (2016). The internet and older people in the UK–key statistics. London: Age UK.
74.
go back to reference Fang, M. L., Canham, S. L., Battersby, L., Sixsmith, J., Wada, M., & Sixsmith, A. (2019). Exploring privilege in the digital divide: Implications for theory, policy, and practice. The Gerontologist, 59(1), e1–e15.PubMedCrossRef Fang, M. L., Canham, S. L., Battersby, L., Sixsmith, J., Wada, M., & Sixsmith, A. (2019). Exploring privilege in the digital divide: Implications for theory, policy, and practice. The Gerontologist, 59(1), e1–e15.PubMedCrossRef
75.
go back to reference Kearns, A., & Whitley, E. (2019). Associations of internet access with social integration, wellbeing and physical activity among adults in deprived communities: Evidence from a household survey. BMC Public Health, 19(1), 860.PubMedPubMedCentralCrossRef Kearns, A., & Whitley, E. (2019). Associations of internet access with social integration, wellbeing and physical activity among adults in deprived communities: Evidence from a household survey. BMC Public Health, 19(1), 860.PubMedPubMedCentralCrossRef
76.
go back to reference Eremenco, S., Coons, S. J., Paty, J., Coyne, K., Bennett, A. V., & McEntegart, D. (2014). PRO data collection in clinical trials using mixed modes: Report of the ISPOR PRO mixed modes good research practices task force. Value in Health, 17(5), 501–516.PubMedCrossRef Eremenco, S., Coons, S. J., Paty, J., Coyne, K., Bennett, A. V., & McEntegart, D. (2014). PRO data collection in clinical trials using mixed modes: Report of the ISPOR PRO mixed modes good research practices task force. Value in Health, 17(5), 501–516.PubMedCrossRef
77.
go back to reference Kelley, T. A. (2015). International consortium for health outcomes measurement (ICHOM). Trials, 16(3), 1. Kelley, T. A. (2015). International consortium for health outcomes measurement (ICHOM). Trials, 16(3), 1.
78.
go back to reference Insight & Feedback Team NHS England. (2017). National Patient Reported Outcome Measures (PROMs) Programme Consultation Report. Insight & Feedback Team NHS England. (2017). National Patient Reported Outcome Measures (PROMs) Programme Consultation Report.
79.
go back to reference Lewis, S. (2019). Patient reported outcome measures enhance communication with patients. The BMJ Opinion. Lewis, S. (2019). Patient reported outcome measures enhance communication with patients. The BMJ Opinion.
Metagegevens
Titel
First steps in PROMs and PREMs collection in Wales as part of the prudent and value-based healthcare agenda
Auteurs
Kathleen Withers
Robert Palmer
Sally Lewis
Grace Carolan-Rees
Publicatiedatum
29-11-2020
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 11/2021
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-020-02711-2

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