Evidence map›Paper›PMID 41044496›Full record

ArticleBMC public health2025

Trends and dynamics of homelessness in Hong Kong: evidence from population survey in 2015 and 2021.

Siu Ming Chan, Hung Wong, Yikang Chen, Shennan Li, Ka-Ki Chung, Ying Crystal Chan

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Siu Ming ChanDepartment of Social and Behavioural Sciences, City University of Hong Kong, Room 5631, 5/F, Li Dak Sum Yip Yio Chin Academic Building, Kowloon, Hong Kong SAR, China. siuming.chan@cityu.edu.hk.
Hung WongDepartment of Social Work, The Chinese University of Hong Kong, Sha Tin, Hong Kong SAR, China.
Yikang ChenDepartment of Educational Psychology, The Chinese University of Hong Kong, Sha Tin, Hong Kong SAR, China.
Shennan LiVictoria Immigrant and Refugee Centre Society, Vancouver, Canada.
Ka-Ki ChungInstitute of Health Equity, The Chinese University of Hong Kong, Sha Tin, Hong Kong SAR, China.
Ying Crystal ChanJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines trends in homelessness in Hong Kong, comparing data from surveys conducted in 2015 and 2021. The research aims to identify trends and contributing factors, explore context-specific factors, analyze the relationship between housing, employment, and homelessness, and determine factors influencing its duration. Data from the H.O.P.E. Hong Kong 2015 and Hong Kong Homeless Census 2021 surveys were analyzed, encompassing demographic information, conditions of homelessness, and social relationships, health, and personal behavior. Descriptive statistics, chi-square tests, and ANOVA analyses were employed. The study identifies significant differences in the duration of homelessness based on demographics and employment status. Individuals with disabilities, those unemployed for longer periods, and CSSA recipients experience longer durations. Regular contact with family and friends was associated with shorter durations of homelessness. The study emphasizes the importance of improving access to public housing, addressing employment challenges, and providing support services to the homeless population.

Indexed as

Ill-Housed PersonsAdultEmploymentFemaleHong KongHumansMaleMiddle AgedSurveys and QuestionnairesCauses of homelessnessHomelessHomeless policyHong kong

Identifiers

PMID41044496
PMCPMC12495613

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.