Evidence map›Paper›PMID 36814342›Full record

ArticleJournal of pharmaceutical policy and practice2023

Promoting generic drug usage in Japan: correlation between generic drug usage and monthly personal income.

Takaaki Suzuki, Mari Iwata, Mika Maezawa, Misaki Inoue, Riko Satake, Wataru Wakabayashi, Keita Oura, Hideyuki Tanaka, Sakiko Hirofuji, Koumi Miyasaka and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of pharmaceutical policy and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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
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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

15 authors at 1 institution in 1 country.

Takaaki SuzukiLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku Nishi, Gifu, 501-1196, Japan.
Mari IwataLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku Nishi, Gifu, 501-1196, Japan.
Mika MaezawaLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku Nishi, Gifu, 501-1196, Japan.
Misaki InoueLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku Nishi, Gifu, 501-1196, Japan.
Riko SatakeLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku Nishi, Gifu, 501-1196, Japan.
Wataru WakabayashiLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku Nishi, Gifu, 501-1196, Japan.
Keita OuraLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku Nishi, Gifu, 501-1196, Japan.
Hideyuki TanakaLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku Nishi, Gifu, 501-1196, Japan.
Sakiko HirofujiLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku Nishi, Gifu, 501-1196, Japan.
Koumi MiyasakaLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku Nishi, Gifu, 501-1196, Japan.
Fumiya GotoLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku Nishi, Gifu, 501-1196, Japan.
Satoshi NakaoLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku Nishi, Gifu, 501-1196, Japan.
Mayuko MasutaLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku Nishi, Gifu, 501-1196, Japan.
Kazuhiro IguchiLaboratory of Community Pharmacy, Gifu Pharmaceutical University, 1-25-4, Daigaku Nishi, Gifu, 501-1196, Japan.
Mitsuhiro NakamuraLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku Nishi, Gifu, 501-1196, Japan. mnakamura@gifu-pu.ac.jp.ORCID http://orcid.org/0000-0002-5062-5522
Gifu Pharmaceutical University · JP

Funding

Japan Society for the Promotion of Science 20K10408Japan Society for the Promotion of Science 21K06646Japan Society for the Promotion of Science 22K10446
6 · The paper itself

Abstract

backgroundTo reduce pharmacy-related medical expenses, it is necessary to cut drug costs, potentially by increasing generic drug usage. This study analyzes the correlation between generic drug usage and monthly personal income by examining prescriptions for individual drugs.

methodsWe conducted a cross-sectional study based on the data set from the National Database of Health Insurance Claims and Specific Health Checkups of Japan Open Data Japan and the Basic Survey on Wage Structure. We calculated the correlation coefficient between the usage rate of generic drugs in each prefecture of Japan and monthly personal incomes. We then analyzed the correlation coefficients based on the therapeutic categories of medicinal drugs; the contingency table was visualized as a mosaic plot. To compare the proportions between multiple categories, the chi-squared test was applied as a statistical significance test that was used in the analysis of n × m contingency tables. We worked with the null hypothesis that there were no differences between classes in the population.

resultsRegarding the correlation coefficient between the usage rate of generic drugs and monthly personal incomes, the proportion of negative correlation coefficients for outpatient out-of-hospital and outpatient in-hospital prescriptions was over 70%, while that for inpatient prescriptions was 46.9%. The proportion of medicinal drugs exhibiting a negative correlation between the rates of generic drug usage and monthly personal incomes for outpatient out-of-hospital prescriptions and outpatient in-hospital prescriptions was higher than that of inpatient prescriptions. The proportion of statistically correlated medicinal drugs among inpatient prescriptions was lower than that among outpatient out-of-hospital and outpatient in-hospital prescriptions. The proportions of significant negative correlations for outpatient out-of-hospital, outpatient in-hospital, and inpatient prescriptions were 30.6%, 22.7%, and 3.5%, respectively. It was also observed that the rate of generic prescription usage for outpatient out-of-hospital and in-hospital prescriptions increased as monthly personal incomes decreased. In outpatients, the therapeutic categories with strong negative correlations were vasodilators and hyperlipidemia drugs.

conclusionsOur results may help to increase the usage rate of generic drugs in different prefectures by providing useful information for promoting them throughout Japan.

Indexed as

Generic drugMonthly personal incomeNDB Open Data Japan

Identifiers

PMID36814342
PMCPMC9948395
OpenAlexW4321489429

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.