ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2023
Predictors of Receipt of Comprehensive Medication Reviews in Older Adults.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Pharmacoequity measurement framework: A tool to reduce health disparities.Journal of managed care & specialty pharmacy · 2025Article
- Interest in Medication Deprescribing Among US Adults Aged 50-80.Journal of general internal medicine · 2024Article
- Comprehensive Medication Review Completion Rates and Disparities After Medicare Star Rating Measure.JAMA health forum · 2024Observational
- Applying the Andersen behavioral model to the medication therapy management program: an approach for improving medication safety in older adults.Frontiers in public health · 2024Article
- Bridging the knowledge gap: Med Wise Rx helps older adults navigate comprehensive medication reviews.Journal of the American Pharmacists Association : JAPhAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundPolypharmacy is highly prevalent among older adults. This study's purpose was to provide nationally representative estimates of self-reported comprehensive medication review (CMR) receipt among older adults and describe factors associated with their receipt, as CMRs are available through the Medicare Part D program.
methodsThis cross-sectional study used data from the National Poll on Healthy Aging (NPHA), a nationally representative online survey of community-dwelling adults aged 50-80, administered in December 2019. Participants included older adults aged 65-80 with any health insurance (n = 960). Outcomes were self-reported CMR receipt, awareness of CMR insurance coverage, and interest in a future CMR with a pharmacist. Sociodemographic and health-related variables were included. Descriptive statistics and multivariable logistic regression with NPHA population sampling weights were used.
resultsAmong older adults on 2 or more prescription medications, only 20.8% had received a CMR while 34.3% were interested in a future CMR. Among individuals who had not received a CMR, most (83.4%) were unaware their insurance might cover a CMR. Factors associated with higher odds of receiving a CMR included taking 5 or more prescription medications (adjusted odds ratio [AOR] = 2.6, 95% CI: 1.59-4.38) and reporting food insecurity (AOR = 2.9, 95% CI: 1.07-7.93). Having fair or poor self-reported physical health was associated with lower odds of receiving a CMR (AOR = 0.49, 95% CI: 0.25-0.97).
conclusionsMost older adults on 2 or more prescription medications with health insurance had not received a CMR and many were interested in one. Targeted strategies to increase older adults' awareness and receipt of CMRs are warranted.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.