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Quality of Life Research
Gepubliceerd in: Quality of Life Research 8/2016

01-08-2016

Is health-related quality of life between 90 and 180 days following stroke associated with long-term unmet needs?

Auteurs: N. E. Andrew, M. F. Kilkenny, N. A. Lannin, D. A. Cadilhac

Gepubliceerd in: Quality of Life Research | Uitgave 8/2016

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Abstract

Purpose

Understanding the relationship between health-related quality of life (HRQoL) and long-term unmet needs is important for guiding services to optimise life following stroke. We investigated whether HRQoL between 90 and 180 days following stroke was associated with long-term unmet needs.

Methods

Data from Australian Stroke Clinical Registry (AuSCR) registrants who participated in the Australian Stroke Survivor Needs Survey were used. Outcome data, including the EQ-5D, are routinely collected in AuSCR between 90 and 180 days post-stroke. Unmet needs were assessed at a median of 2 years and categorised into: health; everyday living; work/leisure; and support domains. Multivariable regression was used to determine associations between the EQ-5D dimensions and the likelihood of experiencing unmet needs and the visual analogue scale (VAS) (rating 0–100) and number of reported unmet needs.

Results

In total, 173 AuSCR registrants completed the Needs Survey (median age 69 years, 67 % male; 77 % ischaemic stroke). VAS scores were negatively associated with the number of reported long-term unmet needs [irr 0.98, (95 % CI 0.97, 0 99) p < 0.001]. Having EQ-5D activity limitations was associated with unmet living needs (aOR 4.5, 95 % CI 1.1, 18.8). Requiring living supports at 90–180 days was associated with unmet health needs (aOR 4.9, 95 % CI 1.5, 16.1). Those with pain at 90–180 days were less likely to report unmet health (aOR 0.09, 95 % CI 0.02, 0.4) and support needs (aOR 0.2, 95 % CI 0.06, 0.6).

Conclusion

Routinely collected HRQoL data can identify survivors at risk of experiencing long-term unmet needs. This information is important for targeting service delivery to optimise outcomes following stroke.
vorige artikel Fluctuating patterns in quality of life outcomes among patients with moderate and severe stages of chronic obstructive pulmonary disease
volgende artikel The validity and responsiveness of the ICECAP-A capability-well-being measure in women with irritative lower urinary tract symptoms
Literatuur
1.
Senes, S. (2006). How we manage stroke in Australia. AIHW cat no CVD 31. Canberra: Australian Institute of Health and Welfare.
2.
Andrew, N., Kilkenny, M., Naylor, R., Purvis, T., Lalor, E., Moloczij, N., & Cadilhac, D. (2014). Understanding long-term unmet needs in Australian survivors of stroke. International Journal of Stroke, 9(Supplement A100), 106–112.CrossRefPubMed
3.
McKevitt, C., Fudge, N., Redfern, J., Sheldenkar, A., Crichton, S., Rudd, A., et al. (2011). Self-reported long-term needs after stroke. Stroke, 42, 1398–1403.CrossRefPubMed
4.
Andrew, N., Kilkenny, M., Naylor, R., Purvis, T., & Cadilhac, D. (2015). The relationship between caregiver impacts and the unmet needs of survivors of stroke. Patient Prefer Adherence, 9, 1065–1073.CrossRefPubMedPubMedCentral
5.
Cadilhac, D. A., Lannin, N., Anderson, C., Levi, C., Faux, S., Price, C., et al. (2010). Protocol and pilot data for establishing the Australian Stroke Clinical Registry (AuSCR). International Journal of Stroke, 5, 217–226.CrossRefPubMed
6.
Asplund, K., Hulter Asberg, K., Appelros, P., Bjarne, D., Eriksson, M., Johansson, A., et al. (2011). The Riks-Stroke story: Building a sustainable national register for quality assessment of stroke care. International Journal of Stroke, 6(2), 99–108.CrossRefPubMed
7.
Sturm, J. W., Donnan, G. A., Dewey, H. M., Macdonell, R. A., Gilligan, A. K., Srikanth, V., & Thrift, A. G. (2004). Quality of life after stroke: The North East Melbourne Stroke Incidence Study (NEMESIS). Stroke, 35(10), 2340–2345.CrossRefPubMed
8.
Miranda-Castillo, C., Woods, B., Galboda, K., Oomman, S., Olojugba, C., & Orrell, M. (2010). Unmet needs, quality of life and support networks of people with dementia living at home. Health and Quality of Life Outcomes, 8, 132.CrossRefPubMedPubMedCentral
9.
Hansen, D. G., Larsen, P. V., Holm, L. V., Rottmann, N., Bergholdt, S. H., & Sondergaard, J. (2013). Association between unmet needs and quality of life of cancer patients: A population-based study. Acta Oncologica, 52(2), 391–399.CrossRefPubMed
10.
The EuroQol Group. (1990). EuroQol—A new facility for the measurement of health-related quality of life. Health Policy, 16, 199–208.CrossRef
11.
LoTS care LUNS study team. (2013). Validation of the Longer-term Unmet Needs after Stroke (LUNS) monitoring tool: A multicentre study. Clinical Rehabilitation, 27, 1020–1028.CrossRef
12.
World Health Organisation World Bank. (2001). The international classification of functioning, disability and health (ICF). Geneva: WHO.
13.
Geyh, S., Cieza, A., Kollerits, B., Grimby, G., & Stucki, G. (2007). Content comparison of health-related quality of life measures used in stroke based on the international classification of functioning, disability and health (ICF): A systematic review. Quality of Life Research, 16, 833–851.CrossRefPubMed
14.
Sumathipala, K., Radcliffe, E., Sadler, E., Wolfe, C., & McKevitt, C. (2011). Identifying the long-term needs of stroke survivors using the International Classification of Functioning, Disability and Health. Chronic Illness, 8, 31–44.CrossRefPubMed
15.
Andrew, N., Gabbe, B., Wolfe, R., & Cameron, P. (2010). Evaluation of instruments for measuring the burden of sport and active recreation injury. Sports Medicine, 40, 141–161.CrossRefPubMed
16.
Cieza, A., & Stucki, G. (2005). Content comparison of health-related quality of life (HRQOL) instruments based on the international classification of functioning, disability and health (ICF). Quality of Life Research, 14, 1225–1237.CrossRefPubMed
17.
Counsell, C., Dennis, M., & McDowall, M. (2004). Predicting functional outcome in acute stroke: Comparison of a simple six variable model with other predictive systems and informal clinical prediction. Journal of Neurology, Neurosurgery and Psychiatry, 75(3), 401–405.CrossRefPubMedPubMedCentral
18.
Australian Bureau of Statistics. (2011). Socio-economic indexes for areas (SEIFA). Canberra: Australian Bureau of Statistics.
19.
Long, J., & Freese, J. (2014). Regression models for categorical dependent variables using Stata (3rd ed.). Texas: Stata Press.
20.
Long, J. (1997). Regression models for categorical and limited dependent variables: Beverley Hills. CA: Sage.
21.
Szende, A., & Williams A. (2004). On behalf of the EuroQol Group’s international task force on self-reported health. Measuring self-reported population health: An international perspective based on EQ-5D. Rotterdam: EuroQol
22.
Ghose, S., Williams, L. S., & Swindle, R. W. (2005). Depression and other mental health diagnoses after stroke increase inpatient and outpatient medical utilization three years poststroke. Medical Care, 43(12), 1259–1264.CrossRefPubMed
23.
Lim, K., Jacobs, P., & Klarenbach, S. (2006). A population-based analysis of healthcare utilization of persons with back disorders: Results from the Canadian Community Health Survey 2000–2001. Spine, 31(2), 212–218.CrossRefPubMed
24.
Ullrich, P. M., Smith, B. M., Blow, F. C., Valenstein, M., & Weaver, F. M. (2014). Depression, healthcare utilization, and comorbid psychiatric disorders after spinal cord injury. Journal of Spinal Cord Medicine, 37(1), 40–45.CrossRefPubMedPubMedCentral
25.
Blyth, F., March, L. M., Brnabic, A. J. M., & Cousins, M. J. (2004). Chronic pain and frequent use of health care. Pain, 111(1–2), 51–58.CrossRefPubMed
26.
Hare, R., Rogers, H., Lester, H., McManus, R., & Mant, J. (2006). What do stroke patients and carers want from community services? Family Practice, 23, 131–136.CrossRefPubMed
27.
Green, A. R., Carrillo, J. E., & Betancourt, J. R. (2002). Why the disease-based model of medicine fails our patients. The Western journal of Medicine, 176(2), 141–143.PubMedPubMedCentral
28.
Madden, R., Ferreira, M., Einfeld, S., Emerson, E., Magna, R., Refschauge, K., & Llewellyn, G. (2012). New directions in health care and disability: The need for a shared understanding of human functioning. Australian and New Zealand Journal of Public Health, 36, 458–461.CrossRefPubMed
29.
Department of Health and Ageing. (2009). Primary health care reform in Australia: Report to support Australia’s first national primary health care strategy. Canberra: Commonwealth of Australia.
30.
WHO Regional Office for Europe. (2013). Strengthening people-centred health systems in the WHO European Region: A framework for action towards coordinated/integrated health services delivery. Copenhagen: WHO Regional Office for Europe.
31.
Wissel, J., Olver, J., & Sunnerhagen, K. S. (2013). Navigating the poststroke continuum of care. Journal of Stroke and Cerebrovascular Diseases: The Official Journal of National Stroke Association, 22(1), 1–8.CrossRef
32.
Madden, R., Marshall, R., & Race, S. (2013). ICF and casemix models for healthcare funding: Use of the WHO family of classifications to improve casemix. Disability and Rehabilitation, 35(13), 1074–1077.CrossRefPubMed
33.
Duncan, P. W., Samsa, G. P., Weinberger, M., Goldstein, L. B., Bonito, A., Witter, D. M., et al. (1997). Health status of individuals with mild stroke. Stroke, 28(4), 740–745.CrossRefPubMed
34.
Hall, K., Mann, N., High, W., Wright, J., Kreutzer, J., & Wood, D. (1996). Functional measures after traumatic brain injury: Ceiling effects of FIM, FIM + FAM, DRS and CIQ. The Journal of Head Trauma Rehabilitation, 11, 27–39.CrossRef
35.
Lai, S.-M., Studenski, S., Duncan, P. W., & Perera, S. (2002). Persisting consequences of stroke measured by the stroke impact scale. Stroke, 33, 1840–1844.CrossRefPubMed
36.
Dorman, P. J., Waddell, F., Slattery, J., Dennis, M., & Sandercock, P. (1997). Is the EuroQol a valid measure of health-related quality of life after stroke? Stroke, 28(10), 1876–1882.CrossRefPubMed
37.
Hackett, M. L., Yapa, C., Parag, V., & Anderson, C. S. (2005). Frequency of depression after stroke: A systematic review of observational studies. Stroke, 36(6), 1330–1340.CrossRefPubMed
Metagegevens
Titel
Is health-related quality of life between 90 and 180 days following stroke associated with long-term unmet needs?
Auteurs
N. E. Andrew
M. F. Kilkenny
N. A. Lannin
D. A. Cadilhac
Publicatiedatum
01-08-2016
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 8/2016
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-016-1234-5

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