Cargando…
Health Service Utilization in Hong Kong During the COVID-19 Pandemic – A Cross-sectional Public Survey
Background: As health systems across the world respond to the coronavirus disease 2019 (COVID-19), there is rising concern that patients without COVID-19 are not receiving timely emergency care, resulting in avoidable deaths. This study examined patterns of self-reported health service utilization,...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Kerman University of Medical Sciences
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309937/ https://www.ncbi.nlm.nih.gov/pubmed/33105965 http://dx.doi.org/10.34172/ijhpm.2020.183 |
_version_ | 1784753281899167744 |
---|---|
author | Hung, Kevin KC Walline, Joseph H. Chan, Emily Ying Yang Huang, Zhe Lo, Eugene Siu Kai Yeoh, Eng Kiong Graham, Colin A. |
author_facet | Hung, Kevin KC Walline, Joseph H. Chan, Emily Ying Yang Huang, Zhe Lo, Eugene Siu Kai Yeoh, Eng Kiong Graham, Colin A. |
author_sort | Hung, Kevin KC |
collection | PubMed |
description | Background: As health systems across the world respond to the coronavirus disease 2019 (COVID-19), there is rising concern that patients without COVID-19 are not receiving timely emergency care, resulting in avoidable deaths. This study examined patterns of self-reported health service utilization, their socio-demographic determinants and association with avoidable deaths during the COVID-19 outbreak. Methods: A cross-sectional telephone survey was conducted between March 22 and April 1, 2020, during the peak rise in confirmed COVID-19 cases in Hong Kong. Cantonese-speaking Hong Kong residents over 18-years-old were recruited using a computerised random digital dialling (RDD) system. The RDD method used stratified random sampling to ensure a representative sample of the target population by age, gender, and residential district. A structured self-reported questionnaire was used. Results: Out of 1738 placed calls, 765 subjects responded to the questionnaire (44.0% response rate). The factors associated with avoiding medical consultation included being female (37.2% vs. 22.5%, P<.001), married (32.8% vs. 27%, P=.044), completing tertiary education (35.3% vs. 27.7% (secondary) vs. 14.8% (primary), P=.005), and those who reported a "large/very large" impact of COVID-19 on their mental health (36.1% vs 30.5% (neutral) vs. 19.7% (very small/small), P=.047) using logistic regression analysis. Conclusion: Married females with both higher educational attainment and concern about COVID-19 were associated with avoiding healthcare services. Timely public communication to encourage and promote early health seeking treatment even during extreme events such as pandemics are needed. |
format | Online Article Text |
id | pubmed-9309937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Kerman University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-93099372022-08-09 Health Service Utilization in Hong Kong During the COVID-19 Pandemic – A Cross-sectional Public Survey Hung, Kevin KC Walline, Joseph H. Chan, Emily Ying Yang Huang, Zhe Lo, Eugene Siu Kai Yeoh, Eng Kiong Graham, Colin A. Int J Health Policy Manag Original Article Background: As health systems across the world respond to the coronavirus disease 2019 (COVID-19), there is rising concern that patients without COVID-19 are not receiving timely emergency care, resulting in avoidable deaths. This study examined patterns of self-reported health service utilization, their socio-demographic determinants and association with avoidable deaths during the COVID-19 outbreak. Methods: A cross-sectional telephone survey was conducted between March 22 and April 1, 2020, during the peak rise in confirmed COVID-19 cases in Hong Kong. Cantonese-speaking Hong Kong residents over 18-years-old were recruited using a computerised random digital dialling (RDD) system. The RDD method used stratified random sampling to ensure a representative sample of the target population by age, gender, and residential district. A structured self-reported questionnaire was used. Results: Out of 1738 placed calls, 765 subjects responded to the questionnaire (44.0% response rate). The factors associated with avoiding medical consultation included being female (37.2% vs. 22.5%, P<.001), married (32.8% vs. 27%, P=.044), completing tertiary education (35.3% vs. 27.7% (secondary) vs. 14.8% (primary), P=.005), and those who reported a "large/very large" impact of COVID-19 on their mental health (36.1% vs 30.5% (neutral) vs. 19.7% (very small/small), P=.047) using logistic regression analysis. Conclusion: Married females with both higher educational attainment and concern about COVID-19 were associated with avoiding healthcare services. Timely public communication to encourage and promote early health seeking treatment even during extreme events such as pandemics are needed. Kerman University of Medical Sciences 2020-10-19 /pmc/articles/PMC9309937/ /pubmed/33105965 http://dx.doi.org/10.34172/ijhpm.2020.183 Text en © 2022 The Author(s); Published by Kerman University of Medical Sciences https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Hung, Kevin KC Walline, Joseph H. Chan, Emily Ying Yang Huang, Zhe Lo, Eugene Siu Kai Yeoh, Eng Kiong Graham, Colin A. Health Service Utilization in Hong Kong During the COVID-19 Pandemic – A Cross-sectional Public Survey |
title | Health Service Utilization in Hong Kong During the COVID-19 Pandemic – A Cross-sectional Public Survey |
title_full | Health Service Utilization in Hong Kong During the COVID-19 Pandemic – A Cross-sectional Public Survey |
title_fullStr | Health Service Utilization in Hong Kong During the COVID-19 Pandemic – A Cross-sectional Public Survey |
title_full_unstemmed | Health Service Utilization in Hong Kong During the COVID-19 Pandemic – A Cross-sectional Public Survey |
title_short | Health Service Utilization in Hong Kong During the COVID-19 Pandemic – A Cross-sectional Public Survey |
title_sort | health service utilization in hong kong during the covid-19 pandemic – a cross-sectional public survey |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309937/ https://www.ncbi.nlm.nih.gov/pubmed/33105965 http://dx.doi.org/10.34172/ijhpm.2020.183 |
work_keys_str_mv | AT hungkevinkc healthserviceutilizationinhongkongduringthecovid19pandemicacrosssectionalpublicsurvey AT wallinejosephh healthserviceutilizationinhongkongduringthecovid19pandemicacrosssectionalpublicsurvey AT chanemilyyingyang healthserviceutilizationinhongkongduringthecovid19pandemicacrosssectionalpublicsurvey AT huangzhe healthserviceutilizationinhongkongduringthecovid19pandemicacrosssectionalpublicsurvey AT loeugenesiukai healthserviceutilizationinhongkongduringthecovid19pandemicacrosssectionalpublicsurvey AT yeohengkiong healthserviceutilizationinhongkongduringthecovid19pandemicacrosssectionalpublicsurvey AT grahamcolina healthserviceutilizationinhongkongduringthecovid19pandemicacrosssectionalpublicsurvey |