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01-12-2012 | Research | Uitgave 1/2012 Open Access

# An analysis of Euroqol EQ-5D and Manchester Oxford Foot Questionnaire scores six months following podiatric surgery

Tijdschrift:
Journal of Foot and Ankle Research > Uitgave 1/2012
Auteurs:
Anthony J Maher, Timothy E Kilmartin
Belangrijke opmerkingen

## Electronic supplementary material

The online version of this article (doi:10.​1186/​1757-1146-5-17) contains supplementary material, which is available to authorized users.

## Competing interests

There are no competing interests.

## Authors’ contributions

AJM undertook the data analysis and prepared the manuscript. TEK assisted in manuscript preparation and proof reading of all drafts. All authors read and approved the final manuscript.

## Background

As with medicine and healthcare in general, there has been in recent years, a drive within foot surgery to adopt a more robust approach to measuring outcomes. Historically there had been a reliance on simple audits of clinical outcomes and patient satisfaction [ 1, 2]. However, more recently foot specialists in the United Kingdom have adopted patient reported outcome measures (PROMs) as a key measure of the outcome of an intervention [ 37].
The choice of outcome measures available in foot and ankle surgery is extensive though It has long been thought that within a specialist field such as foot surgery, it is more appropriate to use specific regional or anatomic measures of outcome such as the Manchester Oxford Foot Questionnaire (MOXFQ) [ 8] rather than a generic measure such as the EQ-5D. Generic questionnaires may be less responsive to the subtle changes that can occur in foot health (following intervention), which in-turn have an impact on health status or health related quality of life [ 9]. Responsiveness is a term which refers to the ability of an instrument to detect important changes in health status following treatment (such as surgery) or over a period of time, it is not standardised for a given instrument and may be influenced by external patient factors [ 10]. Effect sizes (ES) may be used as a statistical measure of responsiveness. An ES represents the magnitude of change identified by an instrument in a unitless way that allows direct comparisons to be made between instruments [ 10, 11]. This paper will evaluate both the MOXFQ and EQ-5D in the context of elective day care foot surgery.
The MOXFQ is a recently established instrument developed for the measurement of outcomes in foot and ankle surgery [ 8, 12, 13]. The MOXFQ (MOXFQ© 2011, Isis Innovation Ltd) is a PROM which was originally developed using interviews with patients having hallux valgus surgery and drawing on the Manchester Foot Pain & Disability Questionnaire (MFPDQ) [ 14], as a template. MFPDQ development had involved interviews with community based patients with a range of foot and ankle conditions. Changes were made to both item content & response categories, to produce a measure (the MOXFQ) more suitable for the surgical context, including the addition of items concerning night and day-time pain severity levels. The modified questionnaire was subsequently tested for dimensionality, internal reliability, responsiveness, construct validity, and divergent/convergent validity [ 8, 15]. Further testing has confirmed the validity of the MOXFQ in the context of hallux disorders, digital, midfoot, hindfoot and ankle pathology [ 12]. The instrument comprises 16 questions each with a 5 point Likert scale answer. The questions are divided between three domains; walking & standing; pain; social interaction. For each domain, summed scores are converted to a 0-100 scale where high scores denote most severe symptoms or problems.
The MOXFQ is growing in popularity amongst specialists in foot surgery across Europe [ 7, 1618]. The Society of Chiropodists and Podiatrists in the United Kingdom have now adopted the MOXFQ as the standard instrument for assessing patient reported outcomes following foot surgery [ 1].
The EQ-5D was developed in 1987 as a generic measure of health status [ 19]. It was tested for construct validity in 1993 and test re-test reliability in 1994. [ 1922]. Data is available for the EQ-5D across 15 geographic populations and for many specific patient groups, to date the instrument has been used in over 500 studies [ 23, 24]. The EQ-5D is a 5 item questionnaire with only three possible response options (1 = no problem, 2 = moderate problem, 3 = severe problem). The five EQ-5D questions cover; mobility; self care; usual activities; pain and discomfort; anxiety and depression. Alongside the EQ-5D a VAS scale (EQ-5D Health status thermometer) asks patients for their subjective opinion of their health status [ 23]. Additionally the EQ-5D data can be manipulated to generate a health index with a score range of –1.0 to 1.0, where 1.0 equals best possible health state and –1.0 equates to a state worse than death [ 25].
Despite its wide spread use in medicine and epidemiology, there are very few references to the EQ-5D within the field of foot surgery [ 18, 26, 27]. At face value there seems to be some overlap in the EQ-5D and MOXFQ domains. Both instruments measure pain although the EQ-5D will measure pain occurring anywhere in the body, as opposed to the foot. Both also measure mobility and activity, while the EQ-5D additionally measures anxiety and ability to self care.
Minimal clinically important differences (MCID) have been estimated for both instruments [ 15, 28]. The MCID is an anchor-based estimate (using a transition item as the anchor) of the smallest amount of change (usually improvement) in a health status score that patients can generally detect. This compares with small clinically irrelevant changes in health status that may be statistically significant despite being of ‘no value’ to the patient. It is also possible for a clinically important change in status to not reach statistical significance, particularly if the sample size is small.
Beyond their own work on hallux valgus outcomes, the authors of the current paper are not aware of any other published reports of podiatric surgery in the United Kingdom which have incorporated the EQ-5D as a generic measure of health status in addition to a specific regional measure [ 7].
The intention of this study was therefore to evaluate the responsiveness of a regional outcome measure; the MOXFQ and a generic measure; the EQ-5D, six months following elective day care foot surgery performed by podiatric surgeons. A null hypothesis was formulated stating that a foot specific measure would be no more responsive than a generic measure of health related quality of life.

## Methods

Approval was sought, from a local governance and audit committee, to implement two PROMs instruments; the EQ-5D (Additional file 1) and the MOXFQ. These were to be used alongside the existing surgical audit framework for all patients undergoing elective podiatric surgery at Ilkeston Community Hospital. Podiatrists working with the surgical team recruited patients during routine pre operative assessment clinics. All patients attending for elective day care podiatric surgery between May and December 2009 were given the opportunity to complete both the EQ-5D and MOXFQ pre and post operation. Beyond attending for podiatric surgery, there were no specific inclusion or exclusion criteria. All diagnoses encountered and surgical techniques employed during the study period were included. All surgery was performed as a day case on a single foot (i.e. unilateral); there were no bilateral procedures in the study period.
The existing audit framework comprised of clinical observations and retrospective data collection at 6 months post intervention. All patients in the department were routinely recalled to clinic at 6 months post operation for clinical evaluation with the intention being to discharge at that point if symptom free. Data relating to demographics, surgical activity and complications was entered onto a Microsoft Access database by a Podiatrist working with the surgical team.

### Instruments

Both the EQ-5D and MOXFQ were completed by patients pre operation, on the day surgery ward and again at 6 months post operation in the out-patients waiting room. No questionnaires were completed by post or electronically. If patients failed to attend a 6 month review appointment, no further attempt was made to collect PROM data.
Both sets of PROM data were entered onto a Microsoft Excel spreadsheet. The EQ-5D index calculations were taken from established UK population data using the time trade off method [ 23, 25].

### Statistics

Analysis was undertaken with either the analyse-it statistical package version 2.2 or Microsoft Excel as appropriate [ 29]. Descriptive statistics (mean and standard deviation) are presented for all interval or ordinal data.
Effect sizes (ES) were chosen as a key assessment of responsiveness for both instruments. Effect sizes allow for instruments with differing measurement scales to be analysed side by side with respect to their ability to detect a change in scores [ 15]. The ES was assessed for the EQ-5D items, EQ-5D index, EQ-VAS and the MOXFQ domains. Effect sizes were calculated using the formula; $E S = M 1 − M 2 S D$, where M1 is the pre operative mean and M2 the post operative mean score and SD is the standard deviation of the mean pre operative score. ES values of 0.2, 0.5 and 0.8 are typically regarded as indicating small, medium and large degrees of change, respectively [ 11]. An ES of 0.2 to <0.5 was considered small, 0.5 to <0.8 considered moderate and >0.8 considered large. An ES of 1.0 is equivalent to a change of one SD in the sample score. For the purposes of the current study, an ES of 0.5 or greater was considered clinically important.
The Shapiro-Wilk test of normality was applied to all pre and post operative data. Normally distributed data was assessed for significance with the Student’s  T test. Non normally distributed data was analysed with the Wilcoxon Test. P values are presented throughout with a value of <0.05 taken to represent statistical significance.

## Results

### Demographics and complications

Between the 18 th May 2009 and the 9 th December 2010, 375 patients attended for day care foot surgery. A total of 60 patients (16%) were lost to follow up having failed to attend for a final clinical review and so were excluded from further analysis. Surgical data was available for 315 patients while PROMs data was available for 304 patients (96.5%). A summary of the data collected is presented in Table 1. A broad range of podiatric diagnoses were encountered and an array of surgical procedures was applied to these diagnoses, the procedures are summarised in Table 2. Complications were recorded throughout the post operative period and are recorded in Table 3.
Table 1
Study period, Recruitment and Patient Demographics
Total Population (Patients)
375
60
Patients Included in study
315

Patients with surgical data
315

Patients with pre/post MOXFQ
304

Patients with pre/post EQ-5D
279

Study Period

Start
18/05/2009
Finish
26/10/2010
26.9
(SD 4.3)

17
Max followup
79
Age and sex

Min
17
Max
88
Mean
58.5
(SD12.3)

Female
85%
Male
15%

1
43.8%

2
53.3%

3
2.9%

Table 2
Summary of Surgical Intervention
Total Procedures
409
Pt's receiving more than one procedure
81
Mean procedures per patient
1.298
Specific Surgical Procedures (elective day case)

Hallx valgus repair (scarf-Akins procedure)
156
Digital surgery
132
Hallux Rigidus repair (osteotomy, arthroplasty, arthrodesis)
29
Skin, nail or Soft tissue
22
Lesser metatarsal (osteotomy, condylectomy)
19
Neurectomy
19
Cheilectomy
13
mid foot arthrodesis
5
Fixation removal
5
amputation (Digital; whole or partial)
3
sesamoid reduction
3
Hallux Varus repair (Reverse scarf procedure)
2
Sub Talar joint Arthroeresis
1
Table 3
Surgical Complications recorded post operation
Complication
Count
Percentage
Incision line healing
16
5.08
Recurrence
16
5.08
Transfer metatarsalgia
10
3.17
Infection suspected
7
2.22
Pain around site of surgery
7
2.22
Other
6
1.90
Swelling (abnormal)
5
1.59
Joint pain and stiffness
5
1.59
Scar line
4
1.27
Medication side effect
4
1.27
Infection proven
2
0.63
DVT (confirmed)
2
0.63
Sensory loss (small)
2
0.63
D.V.T (suspected)
1
0.32
Total
87

### MOXFQ

MOXFQ data was available for 304 patients. Table 4 summaries the MOXFQ outcomes for the cohort. Dawson et al. previously estimated minimal clinically important differences (MCID) for each of the three domains [ 15]. These are 16 for walking, 12 for pain and 24 for social interaction. The current cohort exceeded the above score changes and so Podiatric Surgery was considered to have had a positive impact on the cohorts health related quality of life as defined by the MOXFQ. It was noted that it is possible for a patient to improve or deteriorate independently across the three domains of walking, pain and social interaction. We therefore looked at the numbers of patients improving or deteriorating across each individual domain (Table 5). Podiatric surgery had the greatest impact on the pain domain and the least impact on the social interaction domain.
Table 4
Summary of mean MOXFQ domain scores and mean EQ-5D scores pre and post treatment

Pre
Post
Score change
Sig*
ES*
Mean
SD
Mean
SD
Mean
SD
MOXFQ
Walking
50.2
26.0
14.1
20.5
36.1
27.9
<0.0001
1.39

Pain
51.7
23.1
16.5
19.0
35.2
25.9
<0.0001
1.52

Social
45.7
25.3
10.6
17.4
35.1
27.3
<0.0001
1.39
EQ-5D
Index
0.7
0.2
0.9
0.2
0.2
0.1
<0.0001
0.83
EQ-5D
VAS
8.1
1.6
8.2
1.7
0.1
3.2
0.3050
0.04
*Sig; significance. *ES; Effect Size. SD; Standard deviation.
Table 5
Analysis of EQ-5D and MOXFQ minimal clinically important differences following treatment

EQ-5D index
MOXFQ Domains

Pain
Walking
Social
Count
%
Count
%
Count
%
Count
%
Deteriorated
5.0
1.8
18.0
5.9
18.0
5.9
23.0
7.5
no change
53.0
19.0
35.0
11.5
59.0
19.3
73.0
23.9
Improved (Exceeded MCID)
221.0
79.2
252.0
82.6
228.0
74.8
209.0
68.5
n.
279.0
100.0
305.0
100.0
305.0
100.0
305.0
100.0
One hundred and seventy six patients (57.7%) had score improvements which exceeded the MCID for all three domains. Eight patients improved but failed to reach the MCID across any of the domains. Nine patients (2.9%) deteriorated across all three domains. This leaves 36.7% of patients whose MOXFQ scores either did not change or improved or deteriorated variably across the three domains.

### EQ-5D

Pre and post operative EQ-5D data was available for 279 patients. There were improvements across all but the self-care domain (Table 6). However, only 11 patients reported self care problems pre operation and the same group remained unchanged following surgery. The EQ-5D scores were converted to the EQ-5D index using the UK TTO method [ 23], Table 4 summarises the EQ-5D index data. Reference levels for the MCID have been described by Walters and Brazier [ 28]. Five patients deteriorated (1.8%) while 79.2% exceeded the MCID (Table 5). Despite the significant change in index scores post intervention, there was little change in the EQ-VAS post intervention suggesting that podiatric surgery patients actually perceived their overall ‘general health’ as representing something different (and in this sample generally as ‘good’) from any specific problems relating to pain and mobility (Table 4).
Table 6
EQ-5D items

Mobility
Self-care
Activities
Pain
Anxiety
Pre
156
11
136
249
70
Post
67
11
47
104
38
Effect Size
0.63
0.00
0.61
1.25
0.24
The table lists the number of Patients reporting problems for each EQ-5D item pre and post surgery (with effect size).

### Effect sizes

In order to assess the magnitude of the change across each domain, Effect Sizes (ES) were measured and are presented in Tables  4 and 6. The ES were generally larger for the MOXFQ than for the EQ-5D. The largest ES for both instruments related to pain; 1.524 for the MOXFQ and; 1.254 for the EQ-5D. The effect sizes were also large for the MOXFQ walking/standing and social interaction domains. Moderate ES were found with the EQ-5D mobility and activities items. There was a small ES for the EQ-5D anxiety item. The EQ-5D index also demonstrated a large ES (0.83).

## Discussion

This paper has attempted to evaluate the responsiveness of two discrete health related quality of life instruments. Each has their own set of benefits and disadvantages. The MOXFQ is a very sensitive instrument able to detect subtle post operative changes in pain, mobility and social interaction. The effect sizes were larger for the MOXFQ which may be a consequence of the fact that this instrument was developed specifically to measure foot surgery outcomes and so increased sensitivity to change would be expected. It is interesting to note that despite the overall positive improvement in mean scores and the tendency to exceed the MCID across all three domains, only 57.7% of patients achieved a clinically significant improvement in each of the three domains. This suggests that there is considerable variability in individual needs, response to surgery and patient expectations. Unrealistic expectations are a recognised cause of poor outcomes and in the context of foot surgery this may manifest as a wish to be able to wear fashionable shoes or what the patient considers ‘normal’ shoes post treatment [ 3035]. We might speculate that failure to meet such expectations and the associated dissatisfaction may negatively affect the MOXFQ social interaction score.
The MOXFQ pain domain was most reliably improved by surgery with 82.6% of patients reporting lower pain scores following intervention. Patients attending for podiatric surgery typically expect pain relief, followed by improved mobility and shoe fitting [ 30, 36].
Very few patients suffered a deterioration of health status following intervention, with rates ranging from 5.9 – 7.5% across the domains. With reference to the MOXFQ, only 2.9% of patients deteriorated across all three domains. We did not investigate why these patients deteriorated post intervention and whether or not there was an association with complications, satisfaction or delayed recovery.
As with the MOXFQ, the EQ-5D appeared sensitive to changes in health status following intervention with improvements in item scores for pain, mobility, activity, and depression/anxiety. Self care scores did not change significantly following intervention but this was expected given that the majority of foot surgery patients are fully ambulatory. Few patients complained of anxiety or depression, though there was a small improvement in anxiety scores post intervention. This change may have been a consequence of asking patients to complete the pre operative questionnaire immediately prior to their surgery, when anxiety is likely to be a prominent feature.
EQ-5D Pain, Mobility and Activity items demonstrated the greatest score change following intervention. Similarly, the MOXFQ demonstrated improvement in pain, walking/standing and social interaction scores. Based on the current study, it could be assumed that anxiety and self care as measured by the EQ-5D are not significant concerns for patients undergoing ambulatory foot surgery. Macran et al. investigating health status in patients attending for routine Podiatry treatment similarly concluded that anxiety/depression and self care concerns are not an important characteristic of patients with foot disorders [ 37].
The combined responses to each item of the EQ-5D generates an index which does appear to be a useful tool for the assessment of health related quality of life following foot surgery in the short-term. An advantage of utilising the EQ-5D index is that it can be used as a comparative measure of health status for a variety of chronic conditions. The adoption of the EQ-5D index scores creates a ‘level playing field’ allowing an unbiased assessment of health need and outcomes. The mean EQ-5D index score for patients prior to Podiatric Surgery was 0.66. An age matched sample of the UK population has previously reported index scores of 0.8 [ 23]. By way of comparison to the current study, patient groups with scores of between 0.62 and 0.73 include sufferers of lower back pain, Parkinson’s disease, Rheumatoid Arthritis functional class 1 and patients at 6 months following a stroke [ 3840]. It is intriguing to note that following foot surgery, the mean index score rises to 0.86, exceeding that of the age matched population sample.
This finding suggests that patients attending for podiatric surgery are, for the most part in reasonable general health in respect of systemic diseases but are specifically hampered by local (foot) pathology which causes pain and impedes mobility. The majority of patients in the current study (97.1%) were systemically well or suffered only minor ailments controlled with medication. The EQ-5D VAS is a subjective assessment of the patient’s health state using a ‘health thermometer’. Pre and post operation the VAS scores remain relatively high (8.12 and 8.18 respectively). Suggesting that despite foot pain and mobility difficulties, patients’ actually considered their health state to be good.
Effect sizes standardise different scoring systems which allows researchers to directly compare the magnitude of a change detected by two distinct instruments. Perhaps as would be expected, the effect sizes for the MOXFQ are considerably larger than those for the similar domains of the EQ-5D. The moderate effect sizes demonstrated by the EQ-5D for mobility and activity, and the large effect size for pain may offer complementary evidence for the impact of foot pathology and subsequent surgery on a patient’s systemic health status.
This paper was based on a clinical audit and presents the PROMs scores for two discrete instruments. Both instruments were completed by the majority of patients. There was no attempt at randomisation and all surgical procedures were included. In essence this paper represents a consecutive case series of patients undergoing a typical range of elective foot surgery procedures. As such we have to be guarded in the conclusions we may draw. Where possible, variables were controlled. Surgery was undertaken by one of three Podiatric Surgeons, all procedures were performed in a day surgery setting and all patients underwent a standard post operative rehabilitation program.
There are a couple of important weaknesses in the design and data capture of the current study. First; 60 patients or 16% of the total cohort failed to return for a clinical review at 6 months post operation. We do not know how the missing patients would have influenced the study data and the conclusions we have drawn. As a consequence there is a possible response bias. The overall trend in the current study was towards improved HRQOL following treatment but the missing cohort may well have deteriorated.
A second important consideration is that we did not examine why certain patients failed to improve or actually suffered deterioration in health status post treatment. The current study cannot for example, illicit whether co-morbidities or post operative complications influence post operative HRQOL scores although the majority of patients were relatively healthy. We did not control for medical conditions which may have arisen subsequent to surgery which may have influenced post operative scores.
The follow up period was set at 6 months, which was a relatively short period particularly for reconstructive foot surgery where the patient may continue to improve over 12 months. Assessing patients relatively early in their post operative recovery may not provide a realistic measure of the final outcome.
There would be value in further research to investigate the relationship between poor HRQOL scores post treatment and the incidence of complications, co-morbidities or unrealistic patient expectations.

## Conclusion

Measuring health status adds an additional dimension to the assessment of outcomes in Podiatric Surgery. The choice of outcome measure can often seem overwhelming. The ideal instrument will attempt to quantify the outcome of surgery in terms relevant not only to the care providers but also to the wider health community and the patients themselves.
Both the MOXFQ and EQ-5D appear sensitive to changes in health status following foot surgery. Both instruments were particularly sensitive to changes in pain, mobility and activity or interaction following treatment. The MOXFQ was developed specifically for foot surgery and as such appears to be the more sensitive instrument. However the generic EQ-5D may allow better comparison of health states in the wider health community. Both instruments when used together appear well suited to the measurement of change in perceived health status following foot surgery.

## Acknowledgements

The authors would life to acknowledge Mrs Karen Bell for her assistance in developing and maintaining the audit database.
Author details
1Department of Podiatric Surgery, County Health Partnerships, Park House Health and Social Care Centre, Burton Road, Carlton, Nottingham NG4 3DQ, UK. 2Department of Podiatric Surgery, Derbyshire Community Health Service, Ilkeston Community Hospital, Heanor Road, Ilkeston, Derbyshire DE7 8LN, UK.

## Competing interests

There are no competing interests.

## Authors’ contributions

AJM undertook the data analysis and prepared the manuscript. TEK assisted in manuscript preparation and proof reading of all drafts. All authors read and approved the final manuscript.

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