Common patterns of morbidity and multi-morbidity and their impact on health-related quality of life: evidence from a national survey

Quality of Life Research

Volumn 24, Issue 4, 2015, Pages 909-918

  Mujica Mota, R E ^a   Roberts, M ^b   Abel, G ^c   Elliott, M ^d   Lyratzopoulos, G ^c   Roland, M ^c   Campbell, J ^a  

^a UNIVERSITY OF EXETER MEDICAL SCHOOL   (United Kingdom)

^b PLYMOUTH UNIVERSITY PENINSULA SCHOOLS OF MEDICINE AND DENTISTRY   (United Kingdom)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^d RAND CORPORATION   (United States)

Author keywords

Equation 5D; Multi morbidity; Quality of life

Indexed keywords

ADULT; ADVERSE OUTCOME; AGE; AGED; ANGINA PECTORIS; ANXIETY; ARTHRITIS; ARTHROPATHY; ARTICLE; ASTHMA; COMORBIDITY; DEPRESSION; DIABETES MELLITUS; EPILEPSY; ETHNICITY; EUROQOL 5 DIMENSION; FEMALE; GENDER; GENERAL PRACTICE; HEALTH STATUS; HEALTH SURVEY; HEARING IMPAIRMENT; HUMAN; HYPERTENSION; KIDNEY DISEASE; LIVER DISEASE; MAJOR CLINICAL STUDY; MENTAL DISEASE; MORBIDITY; NEOPLASM; NEUROLOGIC DISEASE; PHYSICAL DISEASE; PRIMARY MEDICAL CARE; PRIORITY JOURNAL; QUALITY OF LIFE; QUALITY OF LIFE ASSESSMENT; SOCIOECONOMICS; SPINE DISEASE; THORAX DISEASE; UNITED KINGDOM; VERY ELDERLY; YOUNG ADULT; ADAPTIVE BEHAVIOR; ENGLAND; MENTAL DISORDERS; NERVOUS SYSTEM DISEASES; PSYCHOLOGY; SELF REPORT;

ADAPTATION, PSYCHOLOGICAL; ADULT; AGED; ARTHRITIS; COMORBIDITY; DIABETES MELLITUS; ENGLAND; FEMALE; HUMANS; MENTAL DISORDERS; NERVOUS SYSTEM DISEASES; QUALITY OF LIFE; SELF REPORT;

EID: 84925517676     PISSN: 09629343     EISSN: 15732649     Source Type: Journal    
DOI: 10.1007/s11136-014-0820-7     Document Type: Article

References (50)

1. Saarni, S. I., Harkanen, T., Sintonen, H., Suvisaari, J., Koskinen, S., Aromaa, A., et al. (2006). The impact of 29 chronic conditions on health-related quality of life: A general population survey in Finland using 15D and EQ-5D. Quality of Life Research,15(8), 1403–1414.
2. Brettschneider, C., Leicht, H., Bickel, H., Dahlhaus, A., Fuchs, A., Gensichen, J., et al. (2013). (MultiCare Study Group). Relative impact of multimorbid chronic conditions on health-related quality of life–results from the MultiCare Cohort Study. PLoS One,8(6), e66742.
3. Whiteford, H., Degenhardt, L., Rehm, J., Baxter, A., Farrari, A., Erskine, H., et al. (2013). Global burden of disease attributable to mental and substance misuse disorders: Findings from the Global Burden of Disease Study 2010. Lancet,382, 1575–1586.
4. Alonso, J., Ferrer, M., Gandek, B., Ware, J. E, Jr, Aaronson, N. K., Mosconi, P., et al. (2004). Health-related quality of life associated with chronic conditions in eight countries: Results from the International Quality of Life Assessment (IQOLA) Project. Quality of Life Research,13(2), 283–298.
5. Bhattarai, N., Charlton, J., Rudisill, C., & Gulliford, M. C. (2013). Prevalence of depression and utilization of health care in single and multiple morbidity: A population-based cohort study. Psychological Medicine,43(7), 1423–1431.
6. Onubogu, U. D. (2014). Pain and depression in older adults with arthritis. Orthopaedic Nursing,33(2), 102–108.
7. Rast, P., Rush, J., Piccinin, A., & Hofer, S. M. (2014). The identification of regions of significance in the effect of multimorbidity on depressive symptoms using longitudinal data: An application of the Johnson-Neyman technique. Gerontology,60(3), 274–281.
8. Fortin, M., Lapointe, L., Hudon, C., Vanasse, A., Ntetu, A. L., & Maltais, D. (2004). Multimorbidity and quality of life in primary care: a systematic review. Health and Quality of Life Outcomes,20(2), 51.
9. Barnett, K., Mercer, S. W., Norbury, M., Watt, G., Wyke, S., & Guthrie, B. (2012). Epidemiology of multimorbidity and implications for health care, research and medical education: a cross-sectional study. The Lancet,380(9836), 37–43.
10. Lawson, K. D., Mercer, S. W., Wyke, S., Grieve, E., Guthrie, B., Watt, G. C., et al. (2013). 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. International Journal for Equity in Health,12(1), 67. doi:10.1186/1475-9276-12-67.
11. Agborsangaya, C. B., Lahtinen, M., Cooke, T., & Johnson, J. A. (2014). Health and Quality of Life Outcomes,12, 74.
12. Fried, L. P., Bandeen-Roche, K., Kasper, J. D., et al. (1999). Association of comorbidity with disability in older women: the Women’s Health and Aging Study. Journal of Clinical Epidemiology,52, 27–37.
13. Fultz, N. H., Ofstedal, M. B., Herzog, A. R., & Wallace, R. B. (2003). Additive and interactive effects of comorbid physical and mental conditions on functional health. Journal of Aging and Health,15, 465–481.
14. Hodek, J. M., Ruhe, A. K., & Greiner, W. (2010). Relationship between health-related quality of life and multimorbidity. Gesundheitswesen,72(8–9), 455–465.
15. Fortin, M., Dubois, M.-F., Hudon, C., Soubhi, H., & Almirall, J. (2007). Multimorbidity and quality of life: A closer look. Health and Quality of Life Outcomes,5, 52.
16. Hunger, M., Thorand, B., Schunk, M., Doring, A., Menn, P., Peters, A., et al. (2011). Multimorbidity and health-related quality of life in the older population: Results from the German KORA-age study. Health and Quality of Life Outcomes,9, 53.
17. McDaid, O., Hanly, M.J., Richardson K., Kee F., Kenny R.A., Savva G.M. et al. (2013). The effect of multiple chronic conditions on self-rated health, disability and quality of life among the older populations of Northern Ireland and the Republic of Ireland: A comparison of two nationally representative cross-sectional surveys. BMJ Open, 3(6), e002571. doi:10.1136/bmjopen-2013-002571.
18. Sullivan, P. W., Ghushchyan, V. H., & Bayliss, E. A. (2012). The impact of co-morbidity burden on preference-based health-related quality of life in the United States. Pharmacoeconomics,30(5), 431–442.
19. Agborsangaya, C. B., Lahtinen, M., Cooke, T., & Johnson, J. A. (2014). Comparing the EQ-5D 3L and 5L: Measurement properties and association with chronic conditions and multimorbidity in the general population. Health and Quality of Life Outcomes,12, 74.
20. Campbell, J., Smith, P., Nissen, S., Bower, P., Elliott, M., & Roland, M. (2009). The GP Patient Survey for use in primary care in the National Health Service in the UK—Development and psychometric characteristics. BMC Family Practice,10, 57.
21. GPPS Year 6 Questionnaire. Available from http://www.gp-patient.co.uk/download/Questionnaires/Y6Q1%20GP%20Patient%20Survey%20questionnaire.pdf.
22. Euroqol Group. (1990). EuroQoL—A new facility for the measurement of health-related quality of life. Health Policy,16, 199–208.
23. Dolan, P., Gudex, C., Kind, P., & Williams, A. (1996). Valuing health states: A comparison of methods. Journal of Health Economics,15(2), 209–231.
24. Clemens, J. Q., Elliott, M. N., Suttorp, M., & Berry, S. (2012). Temporal ordering of interstitial cystitis/bladder pain syndrome (IC/BPS) and non-bladder conditions. Urology,80(6), 1231–1232.
25. Fan, J., & Gijbels, I. (1992). Variable bandwidth and local linear regression smoothers. Annals of Statistics,20(4), 2008–2036.
26. Department for Communities and Local Government. London. English Indices of Deprivation 2012 https://www.gov.uk/government/collections/english-indices-of-deprivation#group_234.
27. Walters, S. J., & Brazier, J. E. (2005). Comparison of the minimally important difference for two health state utility measures: EQ-5D and SF-6D. Quality of Life Research,14(6), 1523–1532.
28. Kaplan, R. M. (2005). The minimally clinically important difference in generic utility-based measures. COPD,2, 91–97.
29. Bloom, D. E., & Killingsworth, M. R. (1985). Correcting for truncation bias caused by a latent truncation variable. Journal of Econometrics,27, 131–135.
30. Heckman, J. J. (1978). Dummy endogenous variables in a simultaneous equation system. Econometrica,46, 931–959.
31. IPSOS MORI Technical Annex for the GP Patient Survey 2011–2012; pp. 47. Annual Report http://www.gp-patient.co.uk/results/download/_y6q2/y6w2_AnnualTechnical.pdf.
32. White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica,48, 817–838.
33. Mousavi, S., Chatterji, S., Verdes, E., Tandon, A., & Patel VikramUstun, B. (2007). Depression, chronic diseases, and decrements in health.: results from the World Health Survey. The Lancet,370, 851–858.
34. Hays, R., Reeve, B. R., Smith, A. W., & Clauser, S. B. (2014). Associations of cancer and other chronic medical conditions with SF-6D preference based scores in Medicare beneficiaries. Quality of Life Research,23(2), 385–391.
35. Sullivan, P. W., Lawrence, W. F., & Ghushchyan, V. (2005). A national catalog of preference-based scores for chronic conditions in the United States. Medical Care,43, 736–740.
36. Institute of Medicine. (2012). Living well with chronic illness: a call for public health action. Washington, DC: The National Academies Press. http://www.nap.edu/openbook.php?record_id=13272.
37. Luo, N., Wang, P., Fu, A., Johnson, J., & Coons, S. J. (2012). Preference-based SF-6D scores derived from the SF-36 and SF-12 have different discriminative power in a population health survey. Medical Care,50(7), 627–632.
38. Holland, R., Smith, R. D., Harvey, I., Swift, L., & Lenaghan, E. (2004). Assessing quality of life in the elderly: A direct comparison of the EQ-5D and AQoL. Health Economics,13, 793–805.
39. Brazier, J., Ratcliffe, J., Salomon, J. A., & Tsuchiya, A. (2007). Measuring and valuing health benefits for economic evaluation. Oxford: Oxford University Press.
40. Berkanovic, E., & Telesky, C. (1985). Mexican-American, black-American and white-American differences in reporting illnesses, disability and physician visits for illnesses. Social Science and Medicine,20, 567–577.
41. Johnson, T.P., O’Rourke, D., Chavez, N., Sudman, S. (1996). Cultural variations in the interpretation of health survey questions. In: Warnecke RB (ed), Health Survey Research Methods. National Center for Health Statistics (. pp. 57–62). Hyattsville: MD.
42. Stewart, A. L., & Napoles-Springer, A. (2000). Health-related quality-of-life assessments in diverse population groups in the United States. Medical Care,38(9 Suppl), II102–II124.
43. Cassano, P., & Fava, M. (2002). Depression and public health: And overview. Journal of Psychosomatic Research,53, 849–857.
44. Groves, R. M. (2006). Nonresponse rates and nonresponse bias in household surveys. Public Opinion Quarterly,70(5), 646–675.
45. Klein, D. J., Elliott, M. N., Haviland, A. M., Saliba, D., Burkhart, Q., Edwards, C., et al. (2011). Understanding nonresponse to the 2007 Medicare CAHPS survey. The Gerontologist,51(6), 843–855.
46. Paddison, C., Elliott, M., Parker, R., Staestsky, L., Lyratzopoulos, G., Campbell, J. L., et al. (2012). Should measures of patient experience in primary care be adjusted for case mix? Evidence from the English General Practice Patient Survey. BMJ Quality & Safety,21(8), 634–640.
47. Gonzalez, J. S., Peyrot, M., McCarl, L. A., Collins, E. M., Serpa, L., Mimaga, M. J., et al. (2008). Depression and diabetes treatment nonadherence: A meta-analysis. Diabetes Care,31(12), 2398–2403.
48. Lustman, P. J., Anderson, R. J., Freedland, K. E., De Groot, M., Carney, R. M., & Clouse, R. E. (2000). Depression and poor glycemic control: A meta-analytic review of the literature. Diabetes Care,23(7), 934–942.
49. De Groot, M., Anderson, R., Freedland, K. E., Clouse, R. E., & Lustman, P. J. (2001). Association of depression and diabetes complications: A meta-analysis. Psychosomatic Medicine,63(4), 619–630.
50. Salisbury, C., Johnson, L., Purdy, S., Valderas, J. M., & Montgomery, A. A. (2011). Epidemiology and impact of multimorbidity in primary care: a retrospective cohort study. British Journal of General Practice,61(582), e12–e21.