Evidence map›Paper›PMID 19476401›Full record

ArticleDrugs & aging2009

Polypharmacy among disabled Taiwanese elderly: a longitudinal observational study.

Ding-Cheng Derrick Chan, Yi-Ting Hao, Shwu-Chong Wu

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Article in Drugs & aging, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  11. Potentially Inappropriate Medication among Older Patients Who Are Frequent Users of Outpatient Services.International journal of environmental research and public health · 2021
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ding-Cheng Derrick ChanDepartment of Geriatrics, National Taiwan University Hospital, Taipei, Taiwan.
Yi-Ting Hao
Shwu-Chong Wu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveIt is not known whether the correlates of polypharmacy among disabled elderly are similar to those for older adults in general. Furthermore, data on polypharmacy in the Taiwanese population are limited. Therefore, this study was conducted to determine the prevalence and correlates of polypharmacy among disabled Taiwanese elderly (aged >or=65 years).

methodsThis was a longitudinal observational study conducted on information obtained between July 2001 and June 2002. Study participants consisted of nationally representative samples of 11,788 disabled Taiwanese elderly from the ANLTCNT (Assessment of National Long-Term Care Need in Taiwan) study. Polypharmacy and major polypharmacy were defined as prescription of >or=5 and >or=10 medications, respectively, on the day of maximum numbers of prescriptions of the study year. Subject characteristics were derived from the ANLTCNT study survey data. Healthcare-related characteristics, including medication prescriptions, were obtained from the National Health Insurance (NHI) claims data. Multivariate logistic regression was performed for statistical analysis.

resultsOne-fifth (21.5%) of the sample were aged >or=85 years, and 58% were female. The prevalence of polypharmacy and major polypharmacy among disabled Taiwanese elderly was 81% and 38%, respectively. Nearly one-third (32.5%) of disabled Taiwanese elderly were exposed to polypharmacy for >or=181 days in 1 year. Compared with those with a low tendency for visiting multiple providers, those with intermediate tendency (odds ratio [OR] 3.61; 95% CI 3.11, 4.18) and those with high tendency (OR 10.24; 95% CI 8.56, 12.24) were more likely to be exposed to polypharmacy. Other significant correlates of polypharmacy in the multivariate logistic regression model included age <85 years, living in urban areas, higher number of chronic conditions, poorer physical functioning, preference for visiting independent clinics and not being institutionalized.

conclusionThe prevalence of polypharmacy was extremely high among disabled Taiwanese elderly. Visiting multiple healthcare providers was one of the strongest correlates. Policies that encourage the disabled elderly to establish primary care relationships and that promote geriatric care models may decrease the prevalence of polypharmacy and associated adverse outcomes in this group.

Indexed as

PolypharmacyPractice Patterns, Physicians'AgedAged, 80 and overAge FactorsFemaleHumansLogistic ModelsLongitudinal StudiesMalePersons with DisabilitiesPrevalenceResidence CharacteristicsTaiwan

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.