Evidence map›Paper›PMID 33243195›Full record

ArticleBMC public health2020

Polypharmacy is a risk factor for hospital admission due to a fall: evidence from the English Longitudinal Study of Ageing.

P Zaninotto, Y T Huang, G Di Gessa, J Abell, C Lassale, A Steptoe

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 86 citations in OpenAlex.

  1. Pooled it
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  4. [Falls and polypharmacy-an exploration of both the frequency and approaches to prevention].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026
    Article
  5. Article
  6. Falls in older patients treated for cancer in French outpatient departments: screening and prevention-a prospective observational study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Observational
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  8. Exploring the implementation and integration of structured medication reviews in primary care: a qualitative evaluation using normalisation process theory.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    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

6 authors at 2 institutions in 2 countries.

P ZaninottoDepartment of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK. p.zaninotto@ucl.ac.uk.ORCID http://orcid.org/0000-0003-3036-0499
Y T HuangDepartment of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
G Di GessaDepartment of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
J AbellDepartment of Behavioral Science and Health, University College London, London, UK.
C LassaleDepartment of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
A SteptoeDepartment of Behavioral Science and Health, University College London, London, UK.
University College London · GBHospital Del Mar · ES

Funding

Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
NIA NIH HHS 2RO1AG7644 and 2RO1AG017644-01A1NIA NIH HHS R01 AG017644
6 · The paper itself

Abstract

backgroundFalls amongst older people are common; however, around 40% of falls could be preventable. Medications are known to increase the risk of falls in older adults. The debate about reducing the number of prescribed medications remains controversial, and more evidence is needed to understand the relationship between polypharmacy and fall-related hospital admissions. We examined the effect of polypharmacy on hospitalization due to a fall, using a large nationally representative sample of older adults.

methodsData from the English Longitudinal Study of Ageing (ELSA) were used. We included 6220 participants aged 50+ with valid data collected between 2012 and 2018.The main outcome measure was hospital admission due to a fall. Polypharmacy -the number of long-term prescription drugs- was the main exposure coded as: no medications, 1-4 medications, 5-9 medications (polypharmacy) and 10+ medications (heightened polypharmacy). Competing-risk regression analysis was used (with death as a potential competing risk), adjusted for common confounders, including multi-morbidity and fall risk-increasing drugs.

resultsThe prevalence of people admitted to hospital due to a fall increased according to the number of medications taken, from 1.5% of falls for people reporting no medications, to 4.7% of falls among those taking 1-4 medications, 7.9% of falls among those with polypharmacy and 14.8% among those reporting heightened polypharmacy. Fully adjusted SHRs for hospitalization due to a fall among people who reported taking 1-4 medications, polypharmacy and heightened polypharmacy were 1.79 (1.18; 2.71), 1.75 (1.04; 2.95), and 3.19 (1.61; 6.32) respectively, compared with people who were not taking medications.

conclusionsThe risk of hospitalization due to a fall increased with polypharmacy. It is suggested that prescriptions in older people should be revised on a regular basis, and that the number of medications prescribed be kept to a minimum, in order to reduce the risk of fall-related hospital admissions.

Indexed as

PolypharmacyAccidental FallsAgedEnglandFemaleHospitalizationHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsFallsHospitalizationOlder peoplePolypharmacy

Identifiers

PMID33243195
PMCPMC7690163
OpenAlexW3109307855

What OpenQuestion holds

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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 OpenQuestion graph.