Evidence map›Paper›PMID 39421979›Full record

ArticleJMIR aging2024

Factors Influencing Drug Prescribing for Patients With Hospitalization History in Circulatory Disease-Patient Severity, Composite Adherence, and Physician-Patient Relationship: Retrospective Cohort Study.

Tomoyuki Takura, Hiroyoshi Yokoi, Asao Honda

Abstract read
In one paragraph

Article in JMIR aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Tomoyuki Takura *Department of Health Care Services Management, Nihon University School of Medicine, Tokyo, Japan.ORCID 0000-0002-5987-9254
Hiroyoshi Yokoi *Cardiovascular Center, Fukuoka Sanno Hospital, International University of Health and Welfare, Fukuoka, Japan.ORCID 0000-0002-4972-3723
Asao Honda *Saitama Prefecture Institute of Public Health, Saitama, Japan.ORCID 0009-0009-8492-705X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith countries promoting generic drug prescribing, their growth may plateau, warranting further investigation into the factors influencing this trend, including physician and patient perspectives. Additional strategies may be needed to maximize the switch to generic drugs while ensuring health care system sustainability, focusing on factors beyond mere low cost. Emphasizing affordability and clarifying other prescription considerations are essential.

objectiveThis study aimed to provide initial insights into how patient severity, composite adherence, and physician-patient relationships impact generic switching.

methodsThis study used a long-term retrospective cohort design by analyzing data from a national health care database. The population included patients of all ages, primarily older adults, who required primary-to-tertiary preventive actions with a history of hospitalization for cardiovascular diseases (ICD-10 [International Statistical Classification of Diseases, Tenth Revision]) from April 2014 to March 2018 (4 years). We focused on switching to generic drugs, with temporal variations in clinical parameters as independent variables. Lifestyle factors (smoking and drinking) were also considered. Adherence was measured as a composite score comprising 11 elements. The physician-patient relationship was established based on the interval between physician change and prescription. Logistic regression analysis and propensity score matching were used, along with complementary analysis of physician-patient relationships, proportion of days covered, and adherence for a subset of the population.

resultsThe study included 48,456 patients with an average follow-up of 36.1 (SD 8.8) months. The mean age was 68.3 (SD 9.9) years; BMI, 23.4 (SD 3.4) kg/m

conclusionsAlthough physicians' understanding influences the choice of generic drugs, patient condition (severity) and adherence also impact this decision. For example, improved creatinine levels are associated with generic drug choice, while stronger physician-patient relationships correlate with higher rates of generic drug use. These findings may contribute to the appropriate prescription of pharmaceuticals if the policy diffusion of generic drugs begins to slow down. Thus, preventing serious illness while building trust may result in clinical benefits and positive socioeconomic outcomes.

Indexed as

Cardiovascular DiseasesDrug MonitoringHospitalizationPhysician-Patient RelationsAdultAgedAged, 80 and overCohort StudiesDrug PrescriptionsDrugs, GenericFemaleHumansMaleMiddle AgedPractice Patterns, Physicians'Retrospective StudiesDrugs, Genericagingbig datadrug prescription switchgeneric druglogistic modellong-term longitudinal studymedication adherencepatient severityserum creatininesystolic blood pressure

Identifiers

PMID39421979
PMCPMC11662190

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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.