Evidence map›Paper›PMID 28361438›Full record

ArticleClinical drug investigation2017

Drug Utilization of Japanese Patients Diagnosed with Schizophrenia: An Administrative Database Analysis.

Stephane Cheung, Yukinobu Hamuro, Jörg Mahlich, Takanobu Nakahara, Rosarin Sruamsiri, Sunny Tsukazawa

Abstract read
In one paragraph

Article in Clinical drug investigation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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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

17 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Stephane CheungKwansei Gakuin University, Nishinomiya, Japan.
Yukinobu HamuroKwansei Gakuin University, Nishinomiya, Japan.
Jörg MahlichDüsseldorf Institute for Competition Economics (DICE), University of Düsseldorf, Düsseldorf, Germany. joerg.mahlich@gmail.com.ORCID http://orcid.org/0000-0003-1110-2793
Takanobu NakaharaSenshu University, Tokyo, Japan.
Rosarin SruamsiriHealth Economics, Janssen Pharmaceutical KK, Tokyo, Japan.
Sunny TsukazawaHealth Economics, Janssen Pharmaceutical KK, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivePatient characteristics require consideration for optimal treatment in order to achieve clinical remission for an improved quality of life and social functioning. Prior evidence supports long-acting injectable antipsychotics (LAIs) in the relapse prevention of schizophrenia. This study aimed to characterize Japanese patients diagnosed with schizophrenia and to compare the outcomes of LAIs and oral antipsychotics (AP) in re-hospitalization or emergency room visit rates.

methodsDiagnostic Procedure Combination (DPC) designated hospital data in Japan with ICD-10 code F20x between July 2013 and June 2015 were obtained from the Medical Data Vision Co. Ltd. Patients were divided into sub-groups in order to filter co-diagnostic conditions. Differences across sub-groups were assessed using a Chi square test or ANOVA. The incidence rate ratio (IRR) was calculated to compare the re-hospitalization (30 days post discharge) or emergency room visit rates between pharmacotherapy groups of oral versus LAI or typical versus atypical within LAI patients. Adjusted estimates were provided by propensity scores that were assigned for age, gender, and Charlson co-morbidity index (CCI) scores.

resultsA quarter of the data sourced were attributed to co-diagnosis with dementia/delirium with antipsychotic prescriptions despite reported risks of antipsychotic use. After adjusting for age, gender, and co-morbidity, LAI reduced re-hospitalization and emergency (ER) visit rates more than oral APs (LAI vs. oral IRR = 0.38 (95% CI 0.17-0.74), IRR = 0.56 (95% CI 0.34-0.91), respectively).

conclusionThe study findings demonstrate usage of DPC hospital data in schizophrenia pharmacotherapy based on classification of co-diagnoses. In comparison with oral APs only, LAI utilization can provide an opportunity for reduced re-hospitalization and ER visit rates among patients with schizophrenia.

Indexed as

Databases, FactualDrug UtilizationAdultAgedAged, 80 and overAntipsychotic AgentsFemaleHospitalizationHumansInjectionsMaleMiddle AgedSchizophreniaAntipsychotic Agents

Identifiers

PMID28361438
PMCPMC5422449

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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.