Evidence map›Paper›PMID 31765007›Full record

ArticleJournal of the American Geriatrics Society2020

Longitudinal Investigation of Older Adults' Ability to Self-Manage Complex Drug Regimens.

Stacy Cooper Bailey, Lauren A Opsasnick, Laura M Curtis, Alex D Federman, Julia Y Benavente, Rachel O'Conor, Michael S Wolf

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Stacy Cooper BaileyHealth Literacy and Learning Program, Division of General Internal Medicine and Geriatrics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Lauren A OpsasnickHealth Literacy and Learning Program, Division of General Internal Medicine and Geriatrics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Laura M CurtisHealth Literacy and Learning Program, Division of General Internal Medicine and Geriatrics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Alex D FedermanDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Julia Y BenaventeHealth Literacy and Learning Program, Division of General Internal Medicine and Geriatrics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Rachel O'ConorHealth Literacy and Learning Program, Division of General Internal Medicine and Geriatrics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Michael S WolfHealth Literacy and Learning Program, Division of General Internal Medicine and Geriatrics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Northwestern University · USIcahn School of Medicine at Mount Sinai · US

Funding

Supplement to LitCog III: Health Literacy and Cognitive Function among Older AdultsR01AG030611 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WOLF, MICHAEL S · 2007 to 2024
$11.6M
NIA NIH HHS R01 AG030611
6 · The paper itself

Abstract

objectivesWe sought to investigate older patients' ability to correctly and efficiently dose multidrug regimens over nearly a decade and to explore factors predicting declines in medication self-management.

designLongitudinal cohort study funded by the National Institute on Aging.

settingOne academic internal medicine clinic and six community health centers.

participantsBeginning in 2008, 900 English-speaking adults, aged 55 to 74 years, were enrolled in the study, completing a baseline (T1) assessment. To date, 303 participants have completed the same assessment 9 years postbaseline (T4). MEASUREMENTS: At T1, subjects were given a standardized, seven-drug regimen and asked to demonstrate how they would take medicine over 24 hours. The number of dosing errors made and times per day that a participant would take medicine were recorded. Health literacy was measured via the Newest Vital Sign, and cognitive decline was measured by the Mini-Mental State Examination.

resultsParticipants on average made 2.9 dosing errors (SD = 2.5 dosing errors; range = 0-21 dosing errors) of 21 potential errors at T1 and 5.0 errors (SD = 2.1 errors; range = 1-18 errors; P < .001) at T4. In a multivariate model, limited literacy (β = .69; 95% confidence interval [CI] = .18-1.20; P = .01), meaningful cognitive decline (β = 1.72; 95% CI = .70-2.74; P = .01), number of chronic conditions (β = .21; 95% CI = .07-.34; P = .01), and number of baseline dosing errors (β = -.76; 95% CI = -.85 to -.67; P < .001) were significant, independent predictors of changes in dosing errors. Most patients overcomplicated their daily medication schedule; no sociodemographic characteristics were predictive of poor regimen organization in multivariate models. In a multivariate model, there were no significant predictors of changes in regimen consolidation over time, except regimen consolidation at T1.

conclusionsOlder patients frequently overcomplicated drug regimens and increasingly made more dosing errors over 9 years of follow-up. Patients with limited literacy, cognitive decline, and multimorbidity were at greatest risk for errors. J Am Geriatr Soc 68:569-575, 2020.

Indexed as

Health LiteracyPharmaceutical PreparationsSelf-ManagementAgedChronic DiseaseCohort StudiesCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedPharmaceutical Preparationshealth literacymedication safetypolypharmacy

Identifiers

PMID31765007
PMCPMC7056504
OpenAlexW2989764023

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.