Evidence map›Paper›PMID 26985392›Full record

ArticleSAGE open medicine2016

Medication regimen complexity and readmissions after hospitalization for heart failure, acute myocardial infarction, pneumonia, and chronic obstructive pulmonary disease.

Nada Abou-Karam, Chad Bradford, Kajua B Lor, Mitchell Barnett, Michelle Ha, Albert Rizos

Abstract read
In one paragraph

Article in SAGE open medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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.

Nada Abou-KaramDepartment of Pharmacy Services, Sharp Memorial Hospital, San Diego, CA, USA; Department of Clinical Sciences, Touro University California College of Pharmacy, Vallejo, CA, USA.
Chad BradfordDepartment of Pharmacy Services, Sharp Memorial Hospital, San Diego, CA, USA; Department of Clinical Sciences, Touro University California College of Pharmacy, Vallejo, CA, USA.
Kajua B LorDepartment of Clinical Sciences, Touro University California College of Pharmacy, Vallejo, CA, USA.
Mitchell BarnettDepartment of Clinical Sciences, Touro University California College of Pharmacy, Vallejo, CA, USA.
Michelle HaCollege of Pharmacy, Western University of Health Sciences, Pomona, CA, USA.
Albert RizosSystem Pharmacy Services, Sharp Healthcare, San Diego, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesReadmission rate is increasingly being viewed as a key indicator of health system performance. Medication regimen complexity index scores may be predictive of readmissions; however, few studies have examined this potential association. The primary objective of this study was to determine whether medication regimen complexity index is associated with all-cause 30-day readmission after admission for heart failure, acute myocardial infarction, pneumonia, or chronic obstructive pulmonary disease.

methodsThis study was an institutional review board-approved, multi-center, case-control study. Patients admitted with a primary diagnosis of heart failure, acute myocardial infarction, pneumonia, or chronic obstructive pulmonary disease were randomly selected for inclusion. Patients were excluded if they discharged against medical advice or expired during their index visit. Block randomization was utilized for equal representation of index diagnosis and site. Discharge medication regimen complexity index scores were compared between subjects with readmission versus those without. Medication regimen complexity index score was then used as a predictor in logistic regression modeling for readmission.

resultsSeven hundred and fifty-six patients were randomly selected for inclusion, and 101 (13.4%) readmitted within 30 days. The readmission group had higher medication regimen complexity index scores than the no-readmission group (p < 0.01). However, after controlling for demographics, disease state, length of stay, site, and medication count, medication regimen complexity index was no longer a significant predictor of readmission (odds ratio 0.99, 95% confidence interval 0.97-1.01) or revisit (odds ratio 0.99, 95% confidence interval 0.98-1.02).

conclusionThere is little evidence to support the use of medication regimen complexity index in readmission prediction when other measures are available. Medication regimen complexity index may lack sufficient sensitivity to capture an effect of medication regimen complexity on all-cause readmission.

Indexed as

acute care utilizationhigh-risk disease stateMedication regimen complexity indexreadmissionre-hospitalization

Identifiers

PMID26985392
PMCPMC4778087

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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.