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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:
This study consists of two study designs.
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.
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.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| COVID-19 outbreaks | Other | The intervention of the study is the COVID-19 outbreaks in Hong Kong. The pre-and post-COVID-19 outbreak periods will be defined as 1 January 2010 - 31 December 2019 and 1 January 2020 - 31 December 2024, respectively. |
| Measure | Description | Time Frame |
|---|---|---|
| Health outcomes | Incidence of all-cause mortality, and disease-specific complications (cardiovascular disease, end-stage renal disease, retinopathy, neuropathy and all-cause mortality) The disease are defined by the diagnosis codes International Classification of Primary Care, Second edition or International Classification of Diseases,Ninth Revision, Clinical Modification. | 5 years |
| Measure | Description | Time Frame |
|---|---|---|
| Healthcare service utilization | Utilization rates and costs for public and private healthcare services including hospitalization (episodes, modes of admission and length of stay), specialist and general outpatient consultations (number of visits, modes of consultations, western/Chinese medicine), and Accident & Emergency Department (AED) attendances (triage urgency level for AED attendances at public hospital). |
| Measure | Description | Time Frame |
|---|---|---|
| Burden of diseases due to indirect effect of COVID-19 | Years of life lost (YLL), quality-adjusted life year (QALY), and disability-adjusted life year (DALY) attributable to delayed care resulting from the COVID-19 outbreak. Based on life expectancy for 10-year ages groups from the Census and Statistics Department life tables for 2017-19. | 5 years |
(For cohort study)
Inclusion Criteria:
Exclusion Criteria:
- People with a documented doctor-diagnosed COVID-19
(For cross-sectional study)
Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Cindy L.K. Lam, MD | Contact | +852-25185653 | clklam@hku.hk | |
| Eric Y.F Wan, PhD | Contact | +852-2552-5756 | yfwan@hku.hk |
| Name | Affiliation | Role |
|---|---|---|
| Cindy L.K. Lam, MD | The University of Hong Kong | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Family Medicine & Primary Care, LKS Faculty of Medicine, University of Hong Kong | Recruiting | Hong Kong | Hong Kong | China |
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| 5 years |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D006973 | Hypertension |
| D009369 | Neoplasms |
| D002318 | Cardiovascular Diseases |
| D051436 | Renal Insufficiency, Chronic |
| D000073296 | Noncommunicable Diseases |
| D000086382 | COVID-19 |
| D010342 | Patient Acceptance of Health Care |
| ID | Term |
|---|---|
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
| D014652 | Vascular Diseases |
| D051437 | Renal Insufficiency |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
| D014777 | Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D000074822 | Treatment Adherence and Compliance |
| D015438 | Health Behavior |
| D001519 | Behavior |
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