TY - JOUR
T1 - Health Service Utilization in Hong Kong During the COVID-19 Pandemic – A Cross-sectional Public Survey
AU - Hung, Kevin K.C.
AU - Walline, Joseph H.
AU - Chan, Emily Ying Yang
AU - Huang, Zhe
AU - Lo, Eugene Siu Kai
AU - Yeoh, Eng Kiong
AU - Graham, Colin A.
N1 - Publisher Copyright:
© 2022 The Author(s).
PY - 2022/4
Y1 - 2022/4
N2 - 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.
AB - 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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U2 - 10.34172/ijhpm.2020.183
DO - 10.34172/ijhpm.2020.183
M3 - Article
C2 - 33105965
AN - SCOPUS:85126333476
SN - 2322-5939
VL - 11
SP - 508
EP - 513
JO - International Journal of Health Policy and Management
JF - International Journal of Health Policy and Management
IS - 4
ER -