Evidence map›Paper›PMID 31399894›Full record

Observational studyClinical drug investigation2019

Changes in Prescription of Psychotropic Drugs After Introduction of Polypharmacy Reduction Policy in Japan Based on a Large-Scale Claims Database.

Yoko Hirano, Yoichi Ii

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Clinical drug investigation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

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  9. Analysis of the trends of polypharmacy and high-dose prescriptions in Japan.Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists · 2022
    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

2 authors at 2 institutions in 1 country.

Yoko HiranoDepartment of Clinical Medicine (Pharmaceutical Medicine), Graduate School of Pharmaceutical Sciences, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo, 108-8641, Japan. yoko.hirano@pfizer.com.ORCID http://orcid.org/0000-0003-2151-2083
Yoichi IiBiometrics and Data Management, Pfizer R&D Japan G.K., Shibuya-ku, Tokyo, Japan.
Pfizer (Japan) · JPShibuya (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesIn Japan, polypharmacy reduction policy, which reduces the reimbursement of medical cost, was introduced to address unnecessary psychotropic polypharmacy. The rule was applied to the prescriptions of three or more anxiolytics or three or more hypnotics in the policy introduced in 2012. The prescriptions of four or more antidepressants or four or more antipsychotics were added to the rule in the policy revised in 2014. Furthermore, the prescriptions of three or more drugs of anxiolytics, hypnotics, antidepressants, or antipsychotics were subject to the reduction criteria of the policy revision in 2016. Benzodiazepine receptor agonists (BZs) are classified both into anxiolytics and hypnotics, and the reduction rule was not applied to the category of BZs before April 2018. This study aimed to examine the effect of the policy on the prescriptions of four drug categories as well as BZs from the point of view of the number of drugs and doses.

methodsThis was a retrospective observational study using a large-scale Japanese health insurance claims database. Patients who were prescribed at least one psychotropic drug (anxiolytic, hypnotic, antidepressant, or antipsychotic) during the study period (from April 2011 to March 2017) were selected. Segmented regression analysis was used to analyze the proportions of patients with three or more or four or more drugs as well as patients above clinically recommended doses, and the means of the average daily doses by drug category.

resultsA total of 312,167 patients were identified as a study population. The proportions of patients with three or more drugs in anxiolytics, hypnotics, antidepressants, and antipsychotics significantly decreased after the introduction or revisions of the policy, but not BZs. The proportions of patients with three or more drugs in March 2017 were 0.9%, 2.0%, 1.2%, 2.4%, and 8.9% in anxiolytics, hypnotics, antidepressants, antipsychotics, and BZs, respectively. The effect of the policy in reducing the proportions of patients above clinically recommended doses was identified in antipsychotics after the revision in 2016, but not identified in the sum of anxiolytics and hypnotics as well as BZs after the revision in 2014, and antidepressants after the revision in 2016. The proportions of monotherapy were increased from April 2011 to March 2017 only for antidepressants (76.9% → 80.8%) and antipsychotics (79.8% → 82.1%), and not changed or decreased for anxiolytics (85.2% → 85.7%), hypnotics (78.6% → 77.6%), sum of anxiolytics and hypnotics (68.1% → 65.7%), BZs (68.0% → 67.3%), and sum of psychotropic drugs (52.1% → 49.9%).

conclusionsThe polypharmacy reduction policy reduced the proportions of patients with three or more drugs in four drug categories, but not BZs. Only limited effects were seen for reducing the proportions of patients above clinically recommended doses. The policy was revised in April 2018 again. Further investigation is needed to examine the effect of the revision in 2018.

Indexed as

Drug PrescriptionsPolypharmacyAdolescentAdultAgedAntidepressive AgentsAntipsychotic AgentsDatabases, FactualFemaleHumansHypnotics and SedativesInsurance Claim ReviewJapanMaleMiddle AgedPsychotropic DrugsAntidepressive AgentsAntipsychotic AgentsHypnotics and SedativesPsychotropic Drugs

Identifiers

PMID31399894
OpenAlexW2968168455

What OpenQuestion holds

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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.