Abstract
Objectives
Older patients receiving home medical care often have declining functional status and multiple disease conditions. It is important to identify the risk factors for care transition events in this population in order to avoid preventable transitions. In the present study, therefore, we investigated the factors associated with discontinuation of home medical care as a potentially preventable care transition event in older patients.
Methods
Baseline data for participants in the Observational study of Nagoya Elderly with HOme MEdical (ONEHOME) study and data on the mortality, institutionalization, or hospitalisation of the study participants during a 2-year follow-up period were used. Discontinuation of home care was defined as admission to a hospital for any reason, institutionalization, or death. Univariate and multivariate Cox hazard models were used to assess the association of each of the factors with the discontinuation of home care during the observational period. The covariates included in the multivariate analysis were those significantly associated with the discontinuation of home care at the level of P<0.05 in the univariate analysis.
Results
The univariate Cox hazard model revealed that a low hemoglobin level (< 11g/dL), low serum albumin level (< 3g/dL), higher Charlson Comorbidity Index score, and low Mini Nutritional Assessment Short Form score (< 7) were significantly associated with the discontinuation of home care. A multivariate Cox hazard model including these four factors demonstrated that all four were independently associated with home-care discontinuation.
Conclusions
The present results demonstrated that anemia, hypoalbuminemia, malnourishment, and the presence of serious comorbidities were associated with the discontinuation of home medical care among low-functioning older patients.
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References
Lum HD, Studenski SA, Degenholtz HB et al. Early hospital readmission is a predictor of one-year mortality in community-dwelling older Medicare beneficiaries. J Gen Intern Med. 2012; 27: 1467–74.
Murphy CM, Whelan BJ, Normand C. Formal home-care utilisation by older adults in Ireland: evidence from the Irish Longitudinal Study on Ageing (TILDA). Health Soc Care Community. 2014 doi: 10.1111/hsc.12157.
Hernandez AF, Greiner MA, Fonarow GC et al. Relationship between early physician follow-up and 30-day readmission among Medicare beneficiaries hospitalized for heart failure. JAMA 2010; 303: 1716–22.
Kates SL, Behrend C, Mendelson DA, Cram P, Friedman SM. Hospital readmission after hip fracture. Arch Orthop Trauma Surg. 2015;135: 329–37.
Castle NG. Relocation of the elderly. Med Care Res Rev. 2001;58: 291–333.
Friedman SM, Williamson JD, Lee BH et al. Increased fall rates in nursing home residents after relocation to a new facility. J Am Geriatr Soc. 1995;43: 1237–42.
Nikmat AW, Al-Mashoor SH, Hashim NA. Quality of life in people with cognitive impairment: nursing homes versus home care. Int Psychogeriatr. 2014 Dec 11:1-10
Hughes SL, Weaver FM, Giobbie-Hurder A et al. Effectiveness of team-managed home-based primary care: a randomized multicenter trial. Department of Veterans Affairs Cooperative Study Group on Home-Based Primary Care. JAMA 2000;13;284:2877–85.
Edwards ST, Prentice JC, Simon SR et al. Home-based primary care and the risk of ambulatory care-sensitive condition hospitalization among older veterans with diabetes mellitus. JAMA Intern Med. 2014;174: 1796–803.
Lee TW, Cho E, Yim ES et al. Activities of daily living in nursing home and home care settings: a retrospective 1-year cohort study. J Am Med Dir Assoc. 2015; 16: 114–9.
Lee TW, Yim E, Cho E et al. Cognitive function, behavioral problems, and physical function in long-term care insurance beneficiaries with dementia in South Korea: comparison of home care and institutional care services. J Am Geriatr Soc. 2014;62(8): 1467–75.
Kadowaki L, Wister AV, Chappell NL. Influence of home care on life satisfaction, loneliness, and perceived life stress. Can J Aging. 2014;30: 1–15.
Tamiya N, Noguchi H, Nishi A et al. Population ageing and wellbeing: lessons from Japan’s long-term care insurance policy. Lancet 2013;378(9797): 1183–1192.
Mahoney F, Barthel D. Functional evaluation: the Barthel index. Md State Med J 1965; 14: 61–5.
Charlson, ME, Pompei, P, Ales, KL et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987; 40, 373–83.
Bauer JM, Kaiser MJ, Anthony P, Guigoz Y, Sieber CC. The Mini Nutritional Assessment-its history, today’s practice, and future perspectives. Nutr Clin Pract 2008; 23: 388–96.
Kuzuya M, Kanda S, Koike T, Suzuki Y, Satake S, Iguchi A. Evaluation of Mini-Nutritional Assessment for Japanese frail elderly. Nutrition 2005; 21: 498–503.
World Health Organization: Use and interpretation of anthropometric indicators of nutritional status: report of a WHO Working Group. Bull World Health Organ 1986; 64, 929–41.
Dong X, Mendes de Leon C, Artz A et al. A population-based study of hemoglobin, race, and mortality in elderly persons. Evans D.J Gerontol A Biol Sci Med Sci. 2008;63(8): 873–8.
Go AS, Yang J, Ackerson LM et al. Hemoglobin level, chronic kidney disease, and the risks of death and hospitalization in adults with chronic heart failure: the Anemia in Chronic Heart Failure: Outcomes and Resource Utilization (ANCHOR) Study. Shlipak MG. Circulation. 2006;113: 2713–23.
Andrès E, Serraj K, Federici L et al. Anemia in elderly patients: new insight into an old disorder. Geriatr Gerontol Int. 2013;13: 519–27.
Don BR, Kaysen G. Serum albumin: relationship to inflammation and nutrition. Semin Dial. 2004;17: 432–7.
Salanitro AH, Ritchie CS, Hovater M et al. Inflammatory biomarkers as predictors of hospitalization and death in community-dwelling older adults. Arch Gerontol Geriatr. 2012;54: e387-91.
Wang JY, Tsai AC. The short-form mini-nutritional assessment is as effective as the full-mini nutritional assessment in predicting follow-up 4-year mortality in elderly Taiwanese. J Nutr Health Aging. 2013;17: 594–8.
Tsai AC, Chang TL, Wang JY. Short-form Mini-Nutritional Assessment with either BMI or calf circumference is effective in rating the nutritional status of elderly Taiwanese — results of a national cohort study. Br J Nutr. 2013;110: 1126–32.
De La Montana J, Miguez M. Suitability of the short-form Mini Nutritional Assessment in free-living elderly people in the northwest of Spain. J Nutr Health Aging. 2011;15: 187–91.
Nykänen I, Rissanen TH, Sulkava R, Hartikainen S. Effects of individual dietary counseling as part of a comprehensive geriatric assessment (CGA) on nutritional status: a population-based intervention study. J Nutr Health Aging. 2014;18: 54–8
Puranen TM, Pitkala KH, Suominen MH. Tailored Nutritional Guidance for Home-Dwelling AD Families: The Feasibility of and Elements Promoting Positive Changes in Diet (NuAD-Trial). J Nutr Health Aging. 2015;19: 454–9.
de Groot V, Beckerman H, Lankhorst GJ et al. How to measure comorbidity. a critical review of available methods. J Clin Epidemiol. 2003;56: 221–9.
Beloosesky Y, Weiss A, Mansur N. Validity of the medication-based Disease Burden Index compared with the Charlson Comorbidity Index and the Cumulative Illness Rating Scale for geriatrics: a cohort study. Drugs Aging. 2011;28: 1007–14.
Barnett K, Mercer SW, Norbury M et al. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012;380: 37–43.
Preyde M, Brassard K. Evidence-based risk factors for adverse health outcomes in older patients after discharge home and assessment tools: a systematic review. J Evid Based Soc Work. 2011;8: 445–68.
Kim MD, Hong SC, Lee CI, Kim SY, Kang IO, Lee SY. Caregiver burden among caregivers of Koreans with dementia. Gerontology. 2009;55(1): 106–13.
Onishi J, Suzuki Y, Umegaki H, Nakamura A, Endo H, Iguchi A. Influence of behavioral and psychological symptoms of dementia (BPSD) and environment of care on caregivers’ burden. Arch Gerontol Geriatr. 2005 Sep-Oct;41(2):159–68.
Mudge AM, Kasper K, Clair A et al. Recurrent readmissions in medical patients: a prospective study. J Hosp Med. 2011;6: 61–7.
Marcantonio ER, McKean S, Goldfinger M et al. Factors associated with unplanned hospital readmission among patients 65 years of age and older in a Medicare managed care plan. Am J Med. 1999;107: 13–7.
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Umegaki, H., Asai, A., Kanda, S. et al. Risk factors for the discontinuation of home medical care among low-functioning older patients. J Nutr Health Aging 20, 453–457 (2016). https://doi.org/10.1007/s12603-015-0606-9
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DOI: https://doi.org/10.1007/s12603-015-0606-9