Evidence map›Paper›PMID 29534704›Full record

ArticleBMC public health2018

The effect of contextual factors on unintentional injury hospitalization: from the Korea National Hospital Discharge Survey.

Hye Ah Lee, Hyejin Han, Seonhwa Lee, Bomi Park, Bo Hyun Park, Won Kyung Lee, Ju Ok Park, Sungok Hong, Young Taek Kim, Hyesook Park

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. 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

10 authors at 4 institutions in 1 country.

Hye Ah LeeClinical Trial Center, Mokdong Hospital, Ewha Womans University, Seoul, Republic of Korea.
Hyejin HanDepartment of Preventive Medicine, College of Medicine, Ewha Womans University, 1071, Anyangcheon-ro, Yangcheon-ku, Seoul, 158-710, Republic of Korea.
Seonhwa LeeDepartment of Preventive Medicine, College of Medicine, Ewha Womans University, 1071, Anyangcheon-ro, Yangcheon-ku, Seoul, 158-710, Republic of Korea.
Bomi ParkDepartment of Preventive Medicine, College of Medicine, Ewha Womans University, 1071, Anyangcheon-ro, Yangcheon-ku, Seoul, 158-710, Republic of Korea.
Bo Hyun ParkDepartment of Preventive Medicine, College of Medicine, Ewha Womans University, 1071, Anyangcheon-ro, Yangcheon-ku, Seoul, 158-710, Republic of Korea.
Won Kyung LeeDepartment of Social and Preventive Medicine, Inha University School of Medicine, Incheon, Republic of Korea.
Ju Ok ParkDepartment of Emergency Medicine, Hallym University College of Medicine and Dongtan Sacred Heart Hospital, Hwaseong, Republic of Korea.
Sungok HongDivision of Chronic Disease Control, Korea Centers for Disease Control and Prevention, Cheongju-si, Republic of Korea.
Young Taek KimDivision of Chronic Disease Control, Korea Centers for Disease Control and Prevention, Cheongju-si, Republic of Korea.
Hyesook ParkDepartment of Preventive Medicine, College of Medicine, Ewha Womans University, 1071, Anyangcheon-ro, Yangcheon-ku, Seoul, 158-710, Republic of Korea. hpark@ewha.ac.kr.ORCID 0000-0002-9359-6522
Ewha Womans University · KRKorea Disease Control and Prevention Agency · KRHallym University Dongtan Sacred Heart Hospital · KRInha University · KR

Funding

Korea Centers for Disease Control & Prevention 2016-E33004-00
6 · The paper itself

Abstract

backgroundIt has been suggested that health risks are affected by geographical area, but there are few studies on contextual effects using multilevel analysis, especially regarding unintentional injury. This study investigated trends in unintentional injury hospitalization rates over the past decade in Korea, and also examined community-level risk factors while controlling for individual-level factors.

methodsUsing data from the 2004 to 2013 Korea National Hospital Discharge Survey (KNHDS), trends in age-adjusted injury hospitalization rate were conducted using the Joinpoint Regression Program. Based on the 2013 KNHDS, we collected community-level factors by linking various data sources and selected dominant factors related to injury hospitalization through a stepwise method. Multilevel analysis was performed to assess the community-level factors while controlling for individual-level factors.

resultsIn 2004, the age-adjusted unintentional injury hospitalization rate was 1570.1 per 100,000 population and increased to 1887.1 per 100,000 population in 2013. The average annual percent change in rate of hospitalizations due to unintentional injury was 2.31% (95% confidence interval: 1.8-2.9). It was somewhat higher for females than for males (3.25% vs. 1.64%, respectively). Both community- and individual-level factors were found to significantly influence unintentional injury hospitalization risk. As community-level risk factors, finance utilization capacity of the local government and neighborhood socioeconomic status, were independently associated with unintentional injury hospitalization after controlling for individual-level factors, and accounted for 19.9% of community-level variation in unintentional injury hospitalization.

conclusionRegional differences must be considered when creating policies and interventions. Further studies are required to evaluate specific factors related to injury mechanism.

Indexed as

Health Status DisparitiesAccidentsAdolescentAdultAgedFemaleHealth Care SurveysHospitalizationHumansMaleMiddle AgedMultilevel AnalysisRepublic of KoreaResidence CharacteristicsRisk FactorsSocioeconomic FactorsContextual effectHospitalizationMultilevel analysisUnintentional injury

Identifiers

PMID29534704
PMCPMC5851069
OpenAlexW2801370370

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.