Evidence map›Paper›PMID 33130449›Full record

ArticleHealth & place2020

Association of time to diagnosis with socioeconomic position and geographical accessibility to healthcare among symptomatic COVID-19 patients: A retrospective study in Hong Kong.

Yushan Wu, Xiang Yan, Shi Zhao, Jingxuan Wang, Jinjun Ran, Dong Dong, Maggie Wang, Hong Fung, Eng-Kiong Yeoh, Roger Yat-Nork Chung

Abstract read
In one paragraph

Article in Health & place, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  10. Factors Associated with Delayed Diagnosis among Patients with COVID-19 in Okinawa, Japan.International journal of environmental research and public health · 2022
    Article
  11. 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.

Yushan WuJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China; Centre for Health Systems and Policy Research, The Chinese University of Hong Kong, China.
Xiang YanDepartment of Urban Planning and Design, The Social Infrastructure for Equity and Wellbeing (SIEW) Lab, The University of Hong Kong, Pokfulam Road, Hong Kong, China; The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China.
Shi ZhaoJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China; CUHK Shenzhen Research Institute, Shenzhen, China.
Jingxuan WangJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Jinjun RanSchool of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, China.
Dong DongJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China; Centre for Health Systems and Policy Research, The Chinese University of Hong Kong, China.
Maggie WangJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China; CUHK Shenzhen Research Institute, Shenzhen, China.
Hong FungJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China; CUHK Medical Centure, Hong Kong, China.
Eng-Kiong YeohJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China; Centre for Health Systems and Policy Research, The Chinese University of Hong Kong, China; CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong, China.
Roger Yat-Nork ChungJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China; Centre for Health Systems and Policy Research, The Chinese University of Hong Kong, China; CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong, China. Electronic address: rychung@cuhk.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis is important to control COVID-19 outbreaks. This study aimed to assess how individual and area socioeconomic position and geographical accessibility to healthcare services were associated with the time to diagnosis among symptomatic COVID-19 patients in Hong Kong. Multivariable generalized linear regression was used to estimate the associations while adjusting for sociodemographic characteristics and case classification. This study found living in public rental housing and living in an area with low education were associated with longer time to diagnosis in the first wave of infections. Specifically, the risk of delayed diagnosis for public rental housing residents was mitigated by the higher density of public clinics/hospitals but was slightly increased by the higher density of private medical practitioners nearby. No such relations were found in the second wave of infections when the surveillance measures were enhanced. Given the grave impact of pandemics around the world, our findings call on taking inequalities into account when public health policies are being devised.

Indexed as

AdolescentAdultAgedCOVID-19FemaleGeographyHealthcare DisparitiesHealth Services AccessibilityHong KongHumansMaleMiddle AgedPandemicsRetrospective StudiesSocioeconomic FactorsTimeAccess to careCOVID-19Socioeconomic characteristicsTime to diagnosis

Identifiers

PMID33130449
PMCPMC7568172

What OpenQuestion holds

Textmetadata
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.