Evidence map›Paper›PMID 42339921›Full record

SynthesisJournal of the American Geriatrics Society2026

Interventions to Optimize Medication Management in Older Adults: An Umbrella Review of Systematic Reviews.

Saibal Das, Sanskriti Shukla, Rajesh Aadityan, Kristina Skender, Deepasree Sukumaran, Jerin Jose Cherian, Mihir Bhatta, Ashish Pathak, Samiran Panda, Santanu Kumar Tripathi and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of the American Geriatrics Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
–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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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

11 authors.

Saibal DasDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-3153-4166
Sanskriti ShuklaTranslational Health Science and Technology Institute, Faridabad, India.
Rajesh AadityanAll India Institute of Medical Sciences, Raebareli, India.
Kristina SkenderDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Deepasree SukumaranDepartment of Pharmacology, All India Institute of Medical Sciences, Kalyani, India.
Jerin Jose CherianDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Mihir BhattaIndian Council of Medical Research, National Institute for Research in Bacterial Infections, Kolkata, India.
Ashish PathakDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Samiran PandaIndian Council of Medical Research, New Delhi, India.
Santanu Kumar TripathiJagannath Gupta Institute of Medical Sciences and Hospital, Kolkata, India.
Cecilia Stålsby LundborgDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.

Funding

Department of Health Research, India Long-Term Fellowship Abroad to SD (File no. R.12023/01/2025-HR)
6 · The paper itself

Abstract

objectiveMedication management in older adults with multimorbidity and polypharmacy is inherently challenging. This umbrella review consolidates evidence on interventions aimed at mitigating these challenges to promote safe and effective medication use.

methodsThis was an umbrella review. A systematic search was conducted on PubMed, Embase, Scopus, Web of Science, and Cochrane CENTRAL until 2024 to find relevant systematic reviews of interventions to improve medication management among older adults aged ≥ 60 years (PROSPERO ID: CRD42024607956). Eligible systematic reviews focused on pharmacist-led reviews, deprescribing protocols, educational programs, clinical decision support systems (CDSS), and community-based initiatives. Data were extracted, and methodological quality was evaluated using the AMSTAR-2 tool. Descriptive statistics were applied, and the credibility of the evidence was determined. Outcomes included medication optimization, clinical, healthcare utilization and cost, and acceptability of the intervention among physicians and patients.

resultsSeventy-one systematic reviews with > 1.5 million cumulative participants were included. According to the AMSTAR-2 assessment, the included systematic reviews demonstrated variable methodological quality, with many rated as moderate to high risk of bias. Pharmacist-led reviews and deprescribing interventions both indicated significant improvement in medication appropriateness. Multidisciplinary approaches and CDSS could improve adherence and prescribing practices. Improvements in clinical outcomes, such as quality of life, cognitive function, and mortality, were inconsistent. Economic evaluations showed mixed results. Implementation challenges were identified, including scalability and resource allocation. Evidence was convincing in reducing the number of medications, inappropriate prescribing, and falls.

conclusionsPharmacist-led and multidisciplinary medication reviews showed the most consistent benefits, improving medication appropriateness and reducing falls and unplanned healthcare use. Interventions like education, policy and guideline measures, and community-based strategies demonstrated mixed or modest effects, often limited to adherence or prescribing quality. Overall evidence strength was limited by methodological heterogeneity. Future high-quality, context-specific research with standardized outcomes is needed in this regard.

Indexed as

Medication Therapy ManagementPolypharmacyAdherence InterventionsAgedDecision Support Systems, ClinicalDeprescriptionsHumansPharmacistsSystematic Reviews as Topicdeprescribinginterventionsmedication managementmedication optimizationmedication reviewolder adultspolypharmacy

Identifiers

PMID42339921
PMCPMC13496375

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.