Evidence map›Paper›PMID 38725422›Full record

ArticleJournal of the American Geriatrics Society2024

Association between potentially inappropriate medications prescription and health-related quality of life among US older adults.

Collin M Clark, Jiajie Guan, Aman R Patel, Jennifer Stoll, Robert G Wahler, Steven Feuerstein, Ranjit Singh, David M Jacobs

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Observational
  2. Article
  3. Review
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  5. Article
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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

8 authors.

Collin M ClarkDepartment of Pharmacy Practice, University at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, New York, USA.ORCID https://orcid.org/0000-0003-3509-9779
Jiajie GuanDepartment of Pharmacy, State University of New York Upstate Medical University, Syracuse, New York, USA.
Aman R PatelDepartment of Pharmacy Practice, University at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, New York, USA.
Jennifer StollDepartment of Family Medicine, Primary Care Research Institute, University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, New York, USA.
Robert G WahlerDepartment of Pharmacy Practice, University at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, New York, USA.
Steven FeuersteinDepartment of Pharmacy Practice, University at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, New York, USA.
Ranjit SinghDepartment of Family Medicine, Primary Care Research Institute, University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, New York, USA.
David M JacobsDepartment of Pharmacy Practice, University at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, New York, USA.

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
Integrative Informatics Approach to Predict Readmissions and Improve Outcomes in COPDK23HL153582 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JACOBS, DAVID · 2021 to 2025
$962k
NCATS NIH HHS ULTR001412NHLBI NIH HHS K23 HL153582NHLBI NIH HHS K23HL153582
6 · The paper itself

Abstract

backgroundPotentially inappropriate medications (PIMs) are associated with worse health outcomes among older adults. Our objective was to examine the association between PIM prescription and health-related quality of life (HRQoL) among older adults in the United States using nationally representative data.

methodsThis was a retrospective study utilizing 2011-2015 Medical Expenditure Panel Survey (MEPS) data. Community dwelling US adults aged 65 years or older were included. A qualified definition operationalized from the 2019 American Geriatrics Society Beers Criteria® was used to define exposure to PIMs during the study period. The Physical Component Summary (PCS) and Mental Component Summary (MCS) of the Medical Outcomes Study 12-Item Short Form Health Survey (SF-12) were used to measure HRQoL. Survey-weighted linear regression models were constructed to investigate the association between PIM exposure and participants' PCS and MCS scores. Analyses were stratified across three age cohorts (65-74, 75-85, and ≥85 years).

resultsUnadjusted analysis showed poorer scores in the PIM exposed group for both PCS and MCS (all p < 0.001). PIM exposure was associated with poorer PCS scores across all age groups with those aged 65-74 years (adjusted regression coefficient = -1.60 [95% CI = -2.27, -0.93; p < 0.001]), those 75-84 years (adjusted regression coefficient: -1.49 [95% CI = -2.45, -0.53; p = 0.003]), and those 85 years and older (adjusted regression coefficient = -1.65 [95% CI = -3.03, -0.27; p = 0.02]). PIM exposure was also associated with poorer MCS scores in participants aged 65-74 years (adjusted regression coefficient = -0.69 [95% CI = -1.16, -0.22; p = 0.004]) and 85 years and older (adjusted regression coefficient = -2.01 [95% CI = -3.25, -0.78; p = 0.002]).

conclusionsOur results suggest that patients' exposure to PIMs is associated with poorer HRQoL. Further work is needed to assess whether interventions to deprescribe PIMs may help to improve patients' HRQoL.

Indexed as

Inappropriate PrescribingPotentially Inappropriate Medication ListQuality of LifeAgedAged, 80 and overFemaleHumansIndependent LivingMaleRetrospective StudiesUnited Stateshealth‐related quality of lifeolder adultspotentially inappropriate medications

Identifiers

PMID38725422
PMCPMC11904790

What OpenQuestion holds

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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.