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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.
  • Hung KK; Accident & Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.
  • Walline JH; Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), The Chinese University of Hong Kong, Hong Kong, China.
  • Chan EYY; JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
  • Huang Z; Accident & Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.
  • Lo ESK; Accident & Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.
  • Yeoh EK; Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), The Chinese University of Hong Kong, Hong Kong, China.
  • Graham CA; JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Int J Health Policy Manag ; 11(4): 508-513, 2022 Apr 01.
Article in English | MEDLINE | ID: covidwho-892567
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Qualitative research / Randomized controlled trials Limits: Adult / Female / Humans / Male Country/Region as subject: Asia Language: English Journal: Int J Health Policy Manag Year: 2022 Document Type: Article Affiliation country: Ijhpm.2020.183

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Qualitative research / Randomized controlled trials Limits: Adult / Female / Humans / Male Country/Region as subject: Asia Language: English Journal: Int J Health Policy Manag Year: 2022 Document Type: Article Affiliation country: Ijhpm.2020.183