Evidence map›Paper›PMID 29485953›Full record

SynthesisJournal of managed care & specialty pharmacy2018

The Association Between Patient Sociodemographic Characteristics and Generic Drug Use: A Systematic Review and Meta-analysis.

Ahmed U Mishuk, Jingjing Qian, Jennifer N Howard, Ilene Harris, Gavriella Frank, Zippora Kiptanui, Richard Hansen

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of managed care & specialty pharmacy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  10. Gender in Endocrine Diseases: Role of Sex Gonadal Hormones.International journal of endocrinology · 2018
    Review
  11. Study of Factors to Increase the Usage Rate of Generic Drugs in Platelet Aggregation Inhibitors.Inquiry : a journal of medical care organization, provision and financing
    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

7 authors at 2 institutions in 1 country.

Ahmed U Mishuk1 Department of Health Outcomes Research and Policy, Auburn University Harrison School of Pharmacy, Auburn, Alabama.
Jingjing Qian1 Department of Health Outcomes Research and Policy, Auburn University Harrison School of Pharmacy, Auburn, Alabama.
Jennifer N Howard2 IMPAQ International, Columbia, Maryland.
Ilene Harris2 IMPAQ International, Columbia, Maryland.
Gavriella Frank2 IMPAQ International, Columbia, Maryland.
Zippora Kiptanui2 IMPAQ International, Columbia, Maryland.
Richard Hansen1 Department of Health Outcomes Research and Policy, Auburn University Harrison School of Pharmacy, Auburn, Alabama.
Impaq International (United States) · USAuburn University · US

Funding

Educating Groups Influencing Generic Drug UseU01FD005486 · FDA · AUBURN UNIVERSITY AT AUBURN · PI HARRIS, ILENE, QIAN, JINGJING · 2015 to 2017
$750k
FDA HHS U01 FD005486
6 · The paper itself

Abstract

backgroundGeneric drugs are bioequivalent and cost-effective alternatives to brand drugs. In 2014, $254 billion was saved because of the use of generic drugs in the United States.

objectiveTo critically assess evidence on the association between patient characteristics and generic drug use in order to inform the development of educational outreach for improving generic drug use among patients.

methodsWe systematically searched the literature between January 2005 and December 2016 using PubMed, Web of Science, Ovid MEDLINE, Google Scholar, and EBSCO IPA-MEDLINE for potentially relevant studies. The titles and abstracts of identified articles were assessed independently by 2 reviewers. Titles and abstracts that were not written in English, were published before 2005, were not empirical, did not contain sociodemographic data, or were not policy or methodologically relevant to generic drug use were excluded. Data were pooled in a meta-analysis using the RStudio software to assess the association of patient-related factors with generic drug use.

resultsOur searches resulted in 11 articles on patient-level factors, and 6 of these articles had sufficient information to conduct meta-analyses in the domains of patients' gender, age, race/ethnicity, and income. Quantitative analysis indicated that no differences in generic drug use existed between subgroups of patients defined by gender, age, or race/ethnicity. However, patients with lower income (i.e., < 200% federal poverty level [FPL]) were more likely to use generic drugs than those with higher income (≥ 200% FPL; pooled OR = 1.32, 95% CI = 1.15-1.52). Heterogeneity was high (I

conclusionsPatients with lower income were more likely to use generic drugs, whereas evidence was heterogeneous regarding an association between generic drug use and gender, age, or race/ethnicity. Educational outreach targeting patients with higher incomes to understand their perspectives in generic drugs may help improve generic drug use within that population. DISCLOSURES: Funding for this study was made possible, in part, by the U.S. Food and Drug Administration through grant U01FD005486. Hansen has provided expert testimony for Daiichi Sankyo. No other authors have declared a potential conflict of interest. Views expressed in written materials or publications and by speakers do not necessarily reflect the official policies of the U.S. Department of Health and Human Services, nor does any mention of trade names, commercial practices, or organization imply endorsement by the U.S. government. Study concept and design were contributed by Howard, Harris, Kiptanui, Hansen, and Qian. Frank, Mishuk, Howard, Harris, and Kiptanui collected the data, and data interpretation was performed by Mishuk and Hansen, along with Qian, Harris, and Kiptanui. The manuscript was written and revised primarily by Mishuk, along with Qian and Hansen.

Indexed as

Social ClassCost-Benefit AnalysisDrugs, GenericHumansTherapeutic EquivalencyDrugs, Generic

Identifiers

PMID29485953
PMCPMC10397602
OpenAlexW2788473476

What OpenQuestion holds

Textmetadata
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.