SynthesisJournal of managed care & specialty pharmacy2018
The Association Between Patient Sociodemographic Characteristics and Generic Drug Use: A Systematic Review and Meta-analysis.
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.
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.
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.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Can Generic Medications Be a Safe and Effective Alternative to Brand-Name Drugs for Cardiovascular Disease Treatment? A Systematic Review and Meta-Analysis.Reviews in cardiovascular medicine · 2025Pooled it
- Influence of sex and gender-related factors on the knowledge of generic medicines among older patients and caregivers.Internal and emergency medicine · 2026Article
- Generic dispensing rates for substitutable drugs prescribed by general practitioners compared with other private ambulatory specialists: A study based on a French national reimbursement database.The European journal of general practice · 2024Article
- Machine learning analysis of patients' perceptions towards generic medication in Greece: a survey-based study.Frontiers in drug safety and regulation · 2024Article
- A real-world analysis of pharmacotherapy adherence and the factors influencing it in Serbia: a nationwide, population-based, cross-sectional study.Frontiers in public health · 2024Article
- Promoting generic drug usage in Japan: correlation between generic drug usage and monthly personal income.Journal of pharmaceutical policy and practice · 2023Article
- Raman Mapping-Based Reverse Engineering Facilitates Development of Sustained-Release Nifedipine Tablet.Pharmaceutics · 2022Article
- Trends in Use and Expenditures for Brand-name Statins After Introduction of Generic Statins in the US, 2002-2018.JAMA network open · 2021Article
- Analysis of patients' request to switch from a generic drug to the original drug in external prescriptions.Journal of pharmaceutical health care and sciences · 2020Article
- Gender in Endocrine Diseases: Role of Sex Gonadal Hormones.International journal of endocrinology · 2018Review
- Study of Factors to Increase the Usage Rate of Generic Drugs in Platelet Aggregation Inhibitors.Inquiry : a journal of medical care organization, provision and financingArticle
- Knowledge, perception and acceptance of generic drugs in the general Lebanese population: A cross-sectional survey among adults.The journal of medicine accessArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.