Double trouble: the impact of multimorbidity and deprivation on preference-weighted health related quality of life a cross sectional analysis of the Scottish Health Survey

被引:66
作者
Lawson, Kenny D. [1 ,2 ]
Mercer, Stewart W. [3 ]
Wyke, Sally [4 ]
Grieve, Eleanor [1 ,2 ]
Guthrie, Bruce [5 ]
Watt, Graham C. M. [3 ]
Fenwick, Elisabeth A. E. [1 ,2 ]
机构
[1] Univ Glasgow, Inst Hlth & Wellbeing, Glasgow G12 8RZ, Lanark, Scotland
[2] Univ Glasgow, Inst Hlth & Wellbeing, HTA, Glasgow G12 8RZ, Lanark, Scotland
[3] Univ Glasgow, Inst Hlth & Wellbeing, Glasgow G12 9LX, Lanark, Scotland
[4] Univ Glasgow, Inst Hlth & Wellbeing, Glasgow G12 8RS, Lanark, Scotland
[5] Univ Dundee, Qual Safety & Informat Res Grp, Populat Hlth Sci Div, Med Res Inst, Dundee DD2 4BF, Scotland
关键词
Multimorbidity; Preference_Weighted Health Related Quality of Life (PW_HRQoL); Deprivation; Inequality; PRIMARY-CARE;
D O I
10.1186/1475-9276-12-67
中图分类号
R1 [预防医学、卫生学];
学科分类号
100235 [预防医学];
摘要
Objective: To investigate the association between multimorbidity and Preference_Weighted Health Related Quality of Life (PW_HRQoL), a score that combines physical and mental functioning, and how this varies by socioeconomic deprivation and age. Design: The Scottish Health Survey (SHeS) is a cross-sectional representative survey of the general population which included the SF-12, a survey of HRQoL, for individuals 20 years and over. Methods: For 7,054 participants we generated PW_HRQoL scores by running SF-12 responses through the SF-6D algorithm. The resulting scores ranged from 0.29 (worst health) to 1 (perfect health). Using ordinary least squares, we first investigated associations between scores and increasing counts of longstanding conditions, and then repeated for multimorbidity (2+ conditions). Estimates were made for the general population and quintiles of socioeconomic deprivation. For multimorbidity, the analyses were repeated stratifying the population by age group (20-44, 45-64, 65+). Results: 45% of participants reported a longstanding condition and 18% reported multimorbidity. The presence of 1, 2, or 3+ longstanding conditions were associated with average reductions in PW_HRQoL scores of 0.081, 0.151 and 0.212 respectively. Reduction in scores associated with multimorbidity was 33% greater in the most deprived quintile compared to the least deprived quintile, with the biggest difference (80%) in the 20-44 age groups. There were no significant gender differences. Conclusions: PW_HRQoL decreases markedly with multimorbidity, and is exacerbated by higher deprivation and younger age. There is a need to prioritise interventions to improve the HRQoL for (especially younger) adults with multimorbidity in deprived areas. Box 1: What Is Known? Prevalence and premature onset of multimorbidity increases as socioeconomic position worsens. Previous studies have investigated the effect of multimorbidity on Health Related Quality of Life (HRQoL) on separate physical and mental health states. There is limited data on how HRQoL falls as the number of conditions increase, and how estimates vary across the general population. Leaving physical and mental health as separate categories can inhibit assessment of overall HRQoL. The use of a Preference_Weighted Health Related Quality of Life (PW_HRQoL) score provides a single summary measure of overall health, by weighting mental and physical states by their perceived importance as part of overall HRQoL. The use of a single score enables a simple and consistent assessment of the impact of conditions and how this varies across the population. Economists term PW_HRQoL scores health utilities. What this study adds? This is the first study to estimate how the impact of multimorbidity on PW_HRQoL scores varies by age group and socioeconomic deprivation. Multimorbidity has a substantial negative impact on HRQoL which is most severe in areas of deprivation, especially in younger adults. Measuring the burden of multimorbidity using PW_HRQoL provides consistency with how economists measure HRQoL; changes in which can be used in economic evaluation to assess the cost effectiveness of interventions.
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页数:9
相关论文
共 21 条
[1]
[Anonymous], COCHRANE DATABASE SY
[2]
[Anonymous], DIMENSIONS DIVERSITY
[3]
Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study [J].
Barnett, Karen ;
Mercer, Stewart W. ;
Norbury, Michael ;
Watt, Graham ;
Wyke, Sally ;
Guthrie, Bruce .
LANCET, 2012, 380 (9836) :37-43
[4]
The estimation of a preference-based measure of health from the SF-12 [J].
Brazier, JE ;
Roberts, J .
MEDICAL CARE, 2004, 42 (09) :851-859
[5]
EuroQol Group, 2011, EQ 5D 5L US GUID
[6]
Relationship between multimorbidity and health-related quality of life of patients in primary care [J].
Fortin, M ;
Bravo, G ;
Hudon, C ;
Lapointe, L ;
Almirall, J ;
Dubois, MF ;
Vanasse, A .
QUALITY OF LIFE RESEARCH, 2006, 15 (01) :83-91
[7]
Multimorbidity and quality of life: A closer look [J].
Fortin, Martin ;
Dubois, Marie-France ;
Hudon, Catherine ;
Soubhi, Hassan ;
Almirall, Jose .
HEALTH AND QUALITY OF LIFE OUTCOMES, 2007, 5 (1)
[8]
Multimorbidity and quality of life in primary care: A systematic review [J].
Fortin M. ;
Lapointe L. ;
Hudon C. ;
Vanasse A. ;
Ntetu A.L. ;
Maltais D. .
Health and Quality of Life Outcomes, 2 (1)
[9]
Fortin Martin, 2005, Can Fam Physician, V51, P244
[10]
A Systematic Review of Prevalence Studies on Multimorbidity: Toward a More Uniform Methodology [J].
Fortin, Martin ;
Stewart, Moira ;
Poitras, Marie-Eve ;
Almirall, Jose ;
Maddocks, Heather .
ANNALS OF FAMILY MEDICINE, 2012, 10 (02) :142-151