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PLOS ONE  2013 

Disability transitions after 30 months in three community-dwelling diagnostic groups in Spain

DOI: 10.1371/journal.pone.0077482

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Abstract:

Background Little is known about changes in disability over time among community-dwelling patients. Accordingly, this study sought to assess medium-term disability transitions. Patients and Methods 300 chronic obstructive pulmonary disease (COPD), chronic heart failure and stroke patients living at home in Madrid were selected from general practitioner lists. In 2009, disability was assessed after a mean of 30 months using the World Health Organisation (WHO) Disability Assessment Schedule 2.0 (WHODAS 2.0). Follow-up was completed using death registries. Losses to follow-up were due to: death, 56; institutionalisation, 9; non-location, 18; and non-participation, 17. Changes in WHODAS 2.0 scores and life status were described and analysed using Cox and multinomial regression. Disability at end of follow-up was imputed for 56 deceased and 44 surviving patients. Results Mean disability scores for 200 surviving patients at end of follow-up were similar to baseline scores for the whole group, higher than their own baseline scores, and rose by 16.3% when imputed values were added. The strongest Cox predictors of death were: age over 84 years, adjusted hazard ratios with 95%CI 8.18 (3.06-21.85); severe/complete vs. no/mild disability, 5.18 (0.68-39.48); and stroke compared to COPD, 1.40 (0.67-2.91). Non-participants and institutionalised patients had higher proportions with severe/complete baseline disability. A one-point change in baseline WHODAS 2.0 score predicted independent increases in risk of 12% (8%-15%) for severe/complete disability or death. Conclusions A considerably high proportion of community-dwelling patients diagnosed with COPD, CHF and stroke undergo medium-term changes in disability or vital status. The main features of the emerging pattern for this group appear to be as follows: approximately two-thirds of patients continue living at home with moderately reduced functional status; 1/3 die or worsen to severe/complete disability; and 1/10 improve. Baseline disability scores, age and diagnosis are associated with disability and death in the medium term.

References

[1]  Gellis ZD, Kenaley B, McGinty J, Bardelli E, Davitt J et al. (2012) Outcomes of a telehealth intervention for homebound older adults with heart or chronic respiratory failure: a randomized controlled trial. Gerontologist 52: 541-552. doi:10.1093/geront/gnr134. PubMed: 22241810.
[2]  Steventon A, Bardsley M, Billings J, Dixon J, Doll H et al. (2012) Effect of telehealth on use of secondary care and mortality: findings from the Whole System Demonstrator cluster randomised trial. BMJ 344: e3874. doi:10.1136/bmj.e3874. PubMed: 22723612.
[3]  Mastal MF, Reardon ME, English M (2007) Innovations in disability care coordination organizations: integrating primary care and behavioral health clinical systems. Prof Case Manag 12: 27-36.
[4]  McLean S, Protti D, Sheikh A (2011) Telehealthcare for long term conditions. BMJ 342: d120. doi:10.1136/bmj.d120. PubMed: 21292710.
[5]  McDaid D, Cieza A, Gomez AR (2009) Bridging knowledge: reflections on crossing the boundaries between long-term care and support. Int J Integr Care 9: e60. PubMed: 19590760.
[6]  World Health Organization (2001) World Health Organization International Classification of Functioning, Disability and Health. Geneva, Switzerland.
[7]  Ustun TB, Chatterji S, Kostanjsek N, Rehm J, Kennedy C et al. (2010) Developing the World. Health Organization Disability Assessment Schedule. p. 2. 0. Bull World Health Organ 88: 815-823.
[8]  de Pedro-Cuesta J, Alberquilla A, Virués-Ortega J, Carmona M, Alcalde-Cabero E et al. (2011) ICF disability measured by WHO-DAS II in three community diagnostic groups in Madrid, Spain. Gac Sanit 25 Suppl 2: 21-28. doi:10.1016/j.gaceta.2011.08.005. PubMed: 22192450.
[9]  Garin O, Ayuso-Mateos JL, Almansa J, Nieto M, Chatterji S et al. (2010) Validation of the "World Health Organization Disability Assessment Schedule, WHODAS-2" in patients with chronic diseases. Health Qual Life Outcomes 8: 51. doi:10.1186/1477-7525-8-51. PubMed: 20482853.
[10]  Vázquez-Barquero JL, Herrera-Castanedo S, Vázquez-Bourgon E, Gaite-Pindado L (2006) World Health Organization Disability Assessment Schedule II Spanish version (WHO-DAS II). Ministerio de Trabajo y Asuntos Sociales .
[11]  Carmona M, García-Olmos LM, Alberquilla A, Mu?oz A, García-Sagredo P et al. (2011) Heart failure in the family practice: a study of the prevalence and co-morbidity. Fam Pract 28: 128-133. doi:10.1093/fampra/cmq084. PubMed: 20978242.
[12]  Rubin D (1987) Multiple imputation for non-response in surveys. New York: Wiley.
[13]  Rubin D (1996) Multiple imputation after 18+ years. J Am Stat Assoc 91: 473-489. doi:10.1080/01621459.1996.10476908.
[14]  The Johns Hopkins ACG Case-Mix System (2005) Reference Manual. The Johns Hopkins ACG Case-Mix System,Version 7.0. Technical Appendix B: Customizing the EDCxRUB Table. Pages: 4-23.
[15]  MRC-CFA Study (2000) Survey into health problems of elderly people: a comparison of self-report with proxy information. Int J Epidemiol 29: 684-697.
[16]  de Salud Carlos Instituto IIIwebsite. (2010) [Mortalidad por Capítulo, Causa y Sexo]. Available: . Accessed: 17 September 2013.
[17]  Klijs B, Mackenbach JP, Kunst AE (2010) Disability occurrence and proximity to death. Disabil Rehabil 32: 1733-1741. doi:10.3109/09638281003746049. PubMed: 20373858.
[18]  Greenland S, Rothman KJ (2008) Measures of occurrence. In: KJ RothmanS. GreenlandTL Lash. Modern epidemiology. Third Edition. pp. 44-45.
[19]  Zunzunegui MV, Nunez O, Durban M, García de Yébenes MJ, Otero A (2006) Decreasing prevalence of disability in activities of daily living, functional limitations and poor self-rated health: a 6-year follow-up study in Spain. Aging Clin Exp Res 18: 352-358. doi:10.1007/BF03324830. PubMed: 17167298.
[20]  Graciani A, Banegas JR, López-García E, Rodríguez-Artalejo F (2004) Prevalence of disability and associated social and health-related factors among the elderly in Spain: a population-based study. Maturitas 48: 381-392. doi:10.1016/j.maturitas.2003.10.004. PubMed: 15283930.
[21]  Thorsén AM, Holmqvist LW, de Pedro-Cuesta J, von Koch L (2005) A randomized controlled trial of early supported discharge and continued rehabilitation at home after stroke: five-year follow-up of patient outcome. Stroke 36: 297-303. doi:10.1161/01.STR.0000152288.42701.a6. PubMed: 15618441.
[22]  Kattainen A, Koskinen S, Reunanen A, Martelin T, Knekt P et al. (2004) Impact of cardiovascular diseases on activity limitations and need for help among older persons. J Clin Epidemiol 57: 82-88. doi:10.1016/S0895-4356(03)00252-X. PubMed: 15019014.
[23]  Capistrant BD, Wang Q, Liu SY, Glymour MM (2013) Stroke-associated differences in rates of activity of daily living loss emerge years before stroke onset. J Am Geriatr Soc 61: 931-938. doi:10.1111/jgs.12270. PubMed: 23668393.
[24]  Sch?fer I, von Leitner EC, Sch?n G, Koller D, Hansen H et al. (2010) Multimorbidity patterns in the elderly: a new approach of disease clustering identifies complex interrelations between chronic conditions. PLOS ONE 5: e15941. doi:10.1371/journal.pone.0015941. PubMed: 21209965.
[25]  Prados-Torres A, Poblador-Plou B, Calderón-Larra?aga A, Gimeno-Feliu LA, González-Rubio F et al. (2012) Multimorbidity patterns in primary care: interactions among chronic diseases using factor analysis. PLOS ONE 7: e32190. doi:10.1371/journal.pone.0032190. PubMed: 22393389.
[26]  Falk H, Ekman I, Anderson R, Fu M, Granger B (2013) Older Patients' Experiences of Heart Failure-An Integrative Literature Review. J Nurs Scholarsh, 45: 247–55. doi:10.1111/jnu.12025. [Epub ahead of print] PubMed: 23617442.
[27]  Riley PL, Arslanian-Engoren C (2013) Cognitive dysfunction and self-care decision making in chronic heart failure: A review of the literature. Eur J Cardiovasc Nurs [Epub ahead of print]. PubMed: 23630404.
[28]  Widdershoven J, Kessing D, Schiffer A, Denollet J, Kupper N (2013) How are Depression and Type D Personality Associated with Outcomes in Chronic Heart Failure Patients? Curr Heart Fail Rep [Epub ahead of print]. PubMed: 23661199.
[29]  Riegel B, Lee CS, Dickson VV (2011) Self care in patients with chronic heart failure. Nat. Rev Cardiol 8: 644-654. doi:10.1038/nrcardio.2011.95.
[30]  Kennedy A, Bower P, Reeves D, Blakeman T, Bowen R et al. (2013) Implementation of self management support for long term conditions in routine primary care settings: cluster randomised controlled trial. BMJ 346: f2882. doi:10.1136/bmj.f2882. PubMed: 23670660.
[31]  Virues-Ortega J, de Pedro-Cuesta J, Seijo-Martinez M, Saz P, Sanchez-Sanchez F et al. (2011) Prevalence of disability in a composite >/=75 year-old population in Spain: a screening survey based on the International Classification of Functioning. BMC Public Health 11: 176..
[32]  Abete P, Testa G, Della-Morte D, Gargiulo G, Galizia G et al. (2013) Treatment for chronic heart failure in the elderly: current practice and problems. Heart Fail Rev 18: 529-551. doi:10.1007/s10741-012-9363-6. PubMed: 23124913.
[33]  Alonso-Coello P, Zhou Q, Guyatt G (2012) Home-monitoring of oral anticoagulation vs. dabigatran. An indirect comparison. Thromb Haemost 108: 647-653. doi:10.1160/TH12-01-0027. PubMed: 22918481.
[34]  Linder SM, Rosenfeldt AB, Reiss A, Buchanan S, Sahu K et al. (2013) The home stroke rehabilitation and monitoring system trial: a randomized controlled trial. Int J Stroke 8: 46-53. doi:10.1111/ijs.12080. PubMed: 23280269.
[35]  Upatising B, Hanson GJ, Kim YL, Cha SS, Yih Y et al. (2013) Effects of home telemonitoring on transitions between frailty states and death for older adults: a randomized controlled trial. Int J Gen Med 6: 145-151. PubMed: 23525664.

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