Evidence map›Paper›PMID 38803265›Full record

ArticleBMJ open2024

Defining, identifying and addressing problematic polypharmacy within multimorbidity in primary care: a scoping review.

Jung Yin Tsang, Matthew Sperrin, Thomas Blakeman, Rupert A Payne, Darren Ashcroft

Abstract readScoping Review
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
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

5 authors.

Jung Yin TsangCentre for Primary Care and Health Services Research, School of Health Sciences, The University of Manchester Division of Population Health Health Services Research and Primary Care, Manchester, UK jungyin.tsang@manchester.ac.uk.ORCID 0000-0002-0331-2777
Matthew SperrinNIHR Greater Manchester Patient Safety Research Collaboration (GMPSRC), Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre (MAHSC), The University of Manchester, Manchester, UK.ORCID 0000-0002-5351-9960
Thomas BlakemanCentre for Primary Care and Health Services Research, School of Health Sciences, The University of Manchester Division of Population Health Health Services Research and Primary Care, Manchester, UK.
Rupert A PayneDepartment of Health and Community Sciences, University of Exeter Medical School, Exeter, UK.
Darren AshcroftNIHR Greater Manchester Patient Safety Research Collaboration (GMPSRC), Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre (MAHSC), The University of Manchester, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPolypharmacy and multimorbidity pose escalating challenges. Despite numerous attempts, interventions have yet to show consistent improvements in health outcomes. A key factor may be varied approaches to targeting patients for intervention.

objectivesTo explore how patients are targeted for intervention by examining the literature with respect to: understanding how polypharmacy is defined; identifying problematic polypharmacy in practice; and addressing problematic polypharmacy through interventions.

designWe performed a scoping review as defined by the Joanna Briggs Institute.

settingThe focus was on primary care settings. DATA SOURCES: Medline, Embase, Cumulative Index to Nursing and Allied Health Literature and Cochrane along with ClinicalTrials.gov, Science.gov and WorldCat.org were searched from January 2004 to February 2024. ELIGIBILITY CRITERIA: We included all articles that had a focus on problematic polypharmacy in multimorbidity and primary care, incorporating multiple types of evidence, such as reviews, quantitative trials, qualitative studies and policy documents. Articles focussing on a single index disease or not written in English were excluded. EXTRACTION AND ANALYSIS: We performed a narrative synthesis, comparing themes and findings across the collective evidence to draw contextualised insights and conclusions.

resultsIn total, 157 articles were included. Case-finding methods often rely on basic medication counts (often five or more) without considering medical history or whether individual medications are clinically appropriate. Other approaches highlight specific drug indicators and interactions as potentially inappropriate prescribing, failing to capture a proportion of patients not fitting criteria. Different potentially inappropriate prescribing criteria also show significant inconsistencies in determining the appropriateness of medications, often neglecting to consider multimorbidity and underprescribing. This may hinder the identification of the precise population requiring intervention.

conclusionsImproved strategies are needed to target patients with polypharmacy, which should consider patient perspectives, individual factors and clinical appropriateness. The development of a cross-cutting measure of problematic polypharmacy that consistently incorporates adjustment for multimorbidity may be a valuable next step to address frequent confounding.

Indexed as

MultimorbidityPolypharmacyPrimary Health CareHumansInappropriate Prescribingadverse eventschronic diseasedrug combinationsmedication adherenceprimary health careprimary prevention

Identifiers

PMID38803265
PMCPMC11129052

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.