Evidence map›Paper›PMID 35980728›Full record

ReviewJMIR public health and surveillance2022

Development and Validation of Indicators for Population Injury Surveillance in Hong Kong: Development and Usability Study.

Keith T S Tung, Rosa S Wong, Frederick K Ho, Ko Ling Chan, Wilfred H S Wong, Hugo Leung, Ming Leung, Gilberto K K Leung, Chun Bong Chow, Patrick Ip

Open access · goldAbstract readReview
In one paragraph

Review in JMIR public health and surveillance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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 2 countries.

Keith T S TungDepartment of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0001-6647-4346
Rosa S WongDepartment of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0001-5808-7629
Frederick K HoInstitute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0001-7190-9025
Ko Ling ChanDepartment of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, Hong Kong.ORCID 0000-0001-8508-9224
Wilfred H S WongDepartment of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0001-8396-2368
Hugo LeungDepartment of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0002-5108-3681
Ming LeungAccident and Emergency Department, Princess Margaret Hospital, Hong Kong, Hong Kong.ORCID 0000-0001-7899-3872
Gilberto K K LeungDepartment of Surgery, The University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0003-3147-3057
Chun Bong ChowDepartment of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0002-5675-7972
Patrick IpDepartment of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0002-6797-6898
Chinese University of Hong Kong · HKHong Kong Polytechnic University · HKPrincess Margaret Hospital · HKUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInjury is an increasingly pressing global health issue. An effective surveillance system is required to monitor the trends and burden of injuries.

objectiveThis study aimed to identify a set of valid and context-specific injury indicators to facilitate the establishment of an injury surveillance program in Hong Kong.

methodsThis development of indicators adopted a multiphased modified Delphi research design. A literature search was conducted on academic databases using injury-related search terms in various combinations. A list of potential indicators was sent to a panel of experts from various backgrounds to rate the validity and context-specificity of these indicators. Local hospital data on the selected core indicators were used to examine their applicability in the context of Hong Kong.

resultsWe reviewed 142 articles and identified 55 indicators, which were classified into 4 domains. On the basis of the ratings by the expert panel, 13 indicators were selected as core indicators because of their good validity and high relevance to the local context. Among these indicators, 10 were from the construct of health care service use, and 3 were from the construct of postdischarge outcomes. Regression analyses of local hospitalization data showed that the Hong Kong Safe Community certification status had no association with 5 core indicators (admission to intensive care unit, mortality rate, length of intensive care unit stay, need for a rehabilitation facility, and long-term behavioral and emotional outcomes), negative associations with 4 core indicators (operative intervention, infection rate, length of hospitalization, and disability-adjusted life years), and positive associations with the remaining 4 core indicators (attendance to accident and emergency department, discharge rate, suicide rate, and hospitalization rate after attending the accident and emergency department). These results confirmed the validity of the selected core indicators for the quantification of injury burden and evaluation of injury-related services, although some indicators may better measure the consequences of severe injuries.

conclusionsThis study developed a set of injury outcome indicators that would be useful for monitoring injury trends and burdens in Hong Kong.

Indexed as

AftercarePatient DischargeHong KongHospitalizationHumansPopulation Surveillanceindicatorsinjurymodified Delphi research designsurveillance

Identifiers

PMID35980728
PMCPMC9437780
OpenAlexW4292677009

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.