The Long-term Spill-over Impact of COVID-19 on Health and Healthcare of People With Non-communicable Diseases

Cancer, Cardiovascular Diseases, Chronic Respiratory Disease, Diabetes Mellitus, Hypertension, Kidney Disease, Chronic, Noncommunicable Diseases

COVID-19 Pandemic, Morality, Complication, Utilization, Health Care, Noncommunicable Diseases

Objectives and aim: To evaluate the long-term spill-over (indirect) effect of Coronavirus disease (COVID-19) on health outcomes and healthcare utilization among people with non-communicable diseases and without COVID-19. Design: A population-based cohort study using electronic health records of the Hospital Authority (HA) clinical management system, economic modeling, and serial cross-sectional surveys on healthcare service utilization. Setting: HA public hospitals and outpatient clinics in Hong Kong Participants: People aged ≥ 18 years with a documented diagnosis of diabetes mellitus, hypertension, cardiovascular disease, cancer, chronic respiratory disease, and chronic kidney disease; without COVID-19; attending HA services between 2010 and 2024. Main outcome measures: All-cause mortality, disease-specific outcomes, healthcare service utilization, and costs. Methods: The annual incidence of each outcome in each year between 2010 and 2024 will be calculated. An interrupted time-series analysis to assess the changes in outcomes between pre-and-post-COVID-19 outbreak periods. Long term health economic impact of healthcare disruptions during the COVID-19 outbreak will be modeled using microsimulation. Multivariable Cox proportional hazards regression and Poisson/negative binomial regression to evaluate the effect of different modes of care on the risk of the outcomes. Implications: Findings will inform policies and practices on contingency care plans to avoid excessive morbidity and mortality and to assure the quality of care for patients with NCD as part of the territorial response to the health crisis.

This study aims to evaluate the spill-over impact of the COVID-19 outbreak on health outcomes, healthcare utilization, and costs in patients with major non-communicable diseases (NCDs). The study will include six leading NCDs (diabetes mellitus, hypertension, cardiovascular diseases (CVD), cancer, chronic kidney diseases (CKD), chronic respiratory diseases) representing the most prevalent conditions and the major causes of deaths in Hong Kong. The objectives of the study are the following: 1. To determine changes in all-cause mortality, disease-specific outcomes, and healthcare utilization rates and costs among major NCD patients during the pre-and post- COVID-19 outbreak. 2. To assess the long-term health economic impact of COVID-19 on health outcomes and healthcare utilization rates and costs among major NCD patients by conducting an in-depth economic evaluation 3. To explore the impact of different modes of care on all-cause mortality, disease-specific outcomes, and healthcare utilization rates and costs among major NCD patients during the post-COVID-19 period. This study consists of two study designs. 1. It is a retrospective cohort study using data extracted from the electronic medical records of the Hong Kong Hospital Authority (HA) Clinical Management System (CMS) from 1 January 2010 to 31 December 2024. * Anonymous data including socio-demographics, disease-specific parameters identified by International Classification of Primary Care, 2nd edition (ICPC-2) and the International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM) will be extracted by the Hospital Authority statistics. There will be two phases of data extraction for the data collected in the periods 2010-2021 and 2022-2024. 2. The investigators will carry out two serial cross-sectional surveys on self-reported healthcare service utilization in the second and fourth years after the COVID-19 outbreak. * Two surveys will be conducted for patients with the major NCD recruited from outpatient clinics to collect data on healthcare service utilization patterns and rates in the years of 2020 and 2022 using a structured questionnaire.

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