Evidence map›Paper›PMID 26707381›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2016

Medication Regimen Complexity and Number of Medications as Factors Associated With Unplanned Hospitalizations in Older People: A Population-based Cohort Study.

Barbara Caecilia Wimmer, J Simon Bell, Johan Fastbom, Michael David Wiese, Kristina Johnell

Open access · hybridAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 7% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Medication regimen complexity in cancer patients: an overlooked issue for healthcare team.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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  17. Associations of Medication Regimen Complexity with COPD Medication Adherence and Control.International journal of chronic obstructive pulmonary disease · 2021
    Article
  18. Article
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  20. Predictors of Olfactory Decline in Aging: A Longitudinal Population-Based Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
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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

5 authors at 3 institutions in 2 countries.

Barbara Caecilia WimmerCentre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia. barbara.wimmer@monash.edu.
J Simon BellCentre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia. Sansom Institute, School of Pharmacy and Medical Sciences, University of South Australia, Adelaide.
Johan FastbomAging Research Center, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden.
Michael David WieseSansom Institute, School of Pharmacy and Medical Sciences, University of South Australia, Adelaide.
Kristina JohnellAging Research Center, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden.
Karolinska Institutet · SEStockholm University · SEUniversity of South Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdverse drug events are a leading cause of hospitalization among older people. Up to half of all medication-related hospitalizations are potentially preventable. The objective of this study was to investigate and compare the association between medication regimen complexity and number of medications with unplanned hospitalizations over a 3-year period.

methodsData were analyzed for 3,348 participants aged 60 years or older in Sweden. Regimen complexity was assessed using the 65-item Medication Regimen Complexity Index (MRCI) and number of medications was assessed as a continuous variable. Cox proportional hazard models were used to compute unadjusted and adjusted hazard ratios with 95% confidence intervals (CIs) for associations between regimen complexity and number of medications with unplanned hospitalizations over a 3-year period. Receiver operating characteristics curves with corresponding areas under the curve were calculated for regimen complexity and number of medications in relation to unplanned hospitalizations. The population attributable fraction of unplanned hospitalizations was calculated for MRCI and number of medications.

resultsIn total, 1,125 participants (33.6%) had one or more unplanned hospitalizations. Regimen complexity (hazard ratio 1.22; 95% CI 1.14-1.34) and number of medications (hazard ratio 1.07; 95% CI 1.04-1.09) were both associated with unplanned hospitalizations and had similar sensitivity and specificity (area under the curve 0.641 for regimen complexity and area under the curve 0.644 for number of medications). The population attributable fraction was 14.08% (95% CI 9.62-18.33) for MRCI and 17.61% (95% CI 12.59-22.35) for number of medications.

conclusionsThere was no evidence that using a complex tool to assess regimen complexity was better at predicting unplanned hospitalization than number of medications.

Indexed as

PolypharmacyAgedDrug-Related Side Effects and Adverse ReactionsFemaleHospitalizationHumansInappropriate PrescribingMaleMiddle AgedRisk FactorsSwedenAgedHospitalizationInappropriate prescribingMedication regimen complexityPolypharmacy

Identifiers

PMID26707381
PMCPMC4888392
OpenAlexW2217037562

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.