Evidence map›Paper›PMID 27678072›Full record

ArticleHealth services research2017

Does Increased Medication Use among Seniors Increase Risk of Hospitalization and Emergency Department Visits?

Sara Allin, David Rudoler, Audrey Laporte

Abstract read
In one paragraph

Article in Health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

3 authors.

Sara AllinInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
David RudolerCentre for Addiction and Mental Health, Toronto, ON, Canada.
Audrey LaporteInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the extent of the health risks of consuming multiple medications among the older population. DATA SOURCES/STUDY

settingSecondary data from the period 2004-2006. The study setting was the province of Ontario, Canada, and the sample consisted of individuals aged 65 years or older who responded to a national health survey. STUDY

designWe estimated a system of equations for inpatient and emergency department (ED) services to test the marginal effect of medication use on hospital services. We controlled for endogeneity in medication use with a two-stage residual inclusion approach appropriate for nonlinear models. PRINCIPAL

findingsIncreased prescription drug use has the effect of increasing the likelihood of both being admitted into hospital and visiting a hospital ED. Each additional medication is associated with a 2-3 percent increase in the likelihood of hospitalization and a 3-4 percent increase in the likelihood of an ED visit, after controlling for past utilization, health status, the endogeneity of medication use, and the unobserved factors that may affect the use of both services.

conclusionsMultiple medications appear to increase the risk of hospitalization among seniors covered by a universal prescription drug plan. These results raise questions about the appropriateness of medication use and the need for increased oversight of current prescribing practices.

Indexed as

AgedAged, 80 and overEmergency Service, HospitalFemaleHealth SurveysHospitalizationHumansMaleOntarioPrescription DrugsRisk AssessmentPrescription Drugshospitalizationinstrumental variableOntarioPrescription drugsseniors

Identifiers

PMID27678072
PMCPMC5517678

What OpenQuestion holds

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Registered trials

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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.