Evidence map›Paper›PMID 34404120›Full record

ArticlePsychiatry investigation2021

Current and Future Trends in Hospital Utilization of Patients With Schizophrenia in Korea: A Time Series Analysis Using National Health Insurance Data.

Seunghyong Ryu, Hee Jung Nam, Jae-Min Kim, Sung-Wan Kim

Open access · diamondAbstract read
In one paragraph

Article in Psychiatry investigation, 2021. 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
1.2field-weighted citation impact, top 22% 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, 11 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Seunghyong RyuDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea.
Hee Jung NamDepartment of Psychiatry, Seoul Medical Center, Seoul, Republic of Korea.
Jae-Min KimDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea.
Sung-Wan KimDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea.
Chonnam National University · KRSeoul Medical Center · KR

Funding

Korea Health Industry Development InstituteMinistry of Health and Welfare HC19C0316Ministry of Health and Welfare HI19C0481
6 · The paper itself

Abstract

objectiveThis study aimed to investigate trends in hospital utilization of patients with schizophrenia during the last 10 years in Korea and to predict future trends using time series analysis.

methodsWe determined the numbers of patients receiving outpatient or inpatient treatment for schizophrenia per month between 2010 and 2019, using National Health Insurance claims data. Facebook's Prophet was used to fit time series models based on observations for the previous 120 months, and to predict trends over the next 36 months.

resultsThe number of hospitalized patients per month has declined rapidly since 2015, but the monthly number of outpatient visits has steadily increased. Monthly hospital utilization has increased in patients aged ≤29 and ≥50 years, but has declined rapidly since 2014-2015 in patients in their 30s and 40s. The upward trend in overall hospital utilization has slowed considerably in recent years. These trends are expected to continue over the next few years.

conclusionThis study revealed some notable changes in the hospital utilization patterns of patients with schizophrenia in recent years. There is a need to closely monitor and anticipate potential problems caused by these changing trends.

Indexed as

ForecastHospital utilizationSchizophreniaTime series analysisTtrend

Identifiers

PMID34404120
PMCPMC8390944
OpenAlexW3193846974

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.