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The extent and burden of high multimorbidity on older adults in the US: a descriptive analysis of Medicare beneficiaries.
Dorr, David A; Markwardt, Sheila; Bobo, Michelle; Allore, Heather G; Botoseneanu, Anda; Newsom, Jason T; Nagel, Corey; Quiñones, Ana R.
Affiliation
  • Dorr DA; Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Mail Code: FM, Portland, OR, 97239, USA. dorrd@ohsu.edu.
  • Markwardt S; OHSU-PSU School of Public Health, Oregon Health & Science University, Portland, OR, USA.
  • Bobo M; Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Mail Code: FM, Portland, OR, 97239, USA.
  • Allore HG; Departments of Medicine and Biostatistics, Yale University, New Haven, CT, USA.
  • Botoseneanu A; College of Education, Health, and Human Services, University of Michigan-Dearborn, Dearborn, MI, USA.
  • Newsom JT; Department of Psychology, Portland State University, Portland, OR, USA.
  • Nagel C; College of Nursing, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Quiñones AR; OHSU-PSU School of Public Health, Oregon Health & Science University, Portland, OR, USA.
BMC Geriatr ; 24(1): 777, 2024 Sep 20.
Article in En | MEDLINE | ID: mdl-39304796
ABSTRACT

BACKGROUND:

The impact of multimorbidity (≥ 2 chronic diseases) on the well-being of older adults is substantial but variable. The burden of multimorbidity varies by the number and kinds of conditions, and timing of onset. The impact varies by age, race, ethnicity, socioeconomic status, and health indicators. Large scale longitudinal surveys linked to medical claims provide unique opportunities to characterize this variability.

METHODS:

We analyzed Medicare-linked Health and Retirement Study data for respondents 65 and older with 3 or more years of fee-for-service coverage (n = 17,199; 2000-2016). We applied standardized claims algorithms for operationalizing 21 chronic diseases. We compared multimorbidity levels, demographics, and outcomes at baseline and over time and escalation to high multimorbidity levels (≥ 5 conditions).

RESULTS:

At baseline, 51.2% had no multimorbidity, 36.5% had multimorbidity, and 12.4% had high multimorbidity. Loss of function, cognitive decline, and higher healthcare utilization were up to ten times more prevalent in the high multimorbidity group. Greater rates of high multimorbidity were seen among non-Hispanic Black and Hispanic groups, those with lower wealth, younger birth cohorts, and adults with obesity. Rates of transition to high multimorbidity varied greatly and was highest among Hispanic and respondents with lower education.

CONCLUSIONS:

The development and progression of multimorbidity in old age is influenced by many factors. Higher levels of multimorbidity are associated with sociodemographic characteristics, suggesting possible mitigation strategies.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Medicare / Multimorbidity Limits: Aged / Aged80 / Female / Humans / Male Country/Region as subject: America do norte Language: En Journal: BMC Geriatr Journal subject: GERIATRIA Year: 2024 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Medicare / Multimorbidity Limits: Aged / Aged80 / Female / Humans / Male Country/Region as subject: America do norte Language: En Journal: BMC Geriatr Journal subject: GERIATRIA Year: 2024 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido