Abstract
Economic burden issues in SARS-CoV-2 patients with underlying co-morbidities are enormous resources for patient treatment and management. The uncertainty costs for clinical management render the healthcare system catatonic and incurs deficits in national annual budgets. This article focuses on systematic steps towards selecting and evaluating literature to uncover gaps and ways to help healthcare stakeholders optimize resources in treating and managing COVID-19 patients with multi-morbidity. A systematic review of all COVID-19 treatment procedures with co-morbidities or multi-morbidity for the period from 2019 to 2022 was conducted. The search includes studies describing treatment costs associated with multi- or co-morbidity cases for infected patients and, if concurrently reported, determining recurring expenses. Study selection will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Galbraith plots and I2 statistics will be deployed to assess heterogeneity and to identify potential sources. A backward elimination process will be applied in the regression modelling procedure. Based on the number of studies retrieved and their sample size, the subgroup analysis will be stratified on participant disease category, associated total costs, and degree of freedom in cost estimation. These studies were registered in the PROSPERO registry (ID: CRD42022323071).
Funder
Department of Higher Education, Ministry of Higher Education Malaysia
Universiti Sains Islam Malaysia
Subject
Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health
Reference32 articles.
1. World Economic Outlook International Monetary Fund Update: Rising Caseloads, a Disrupted Recovery, and Higher Inflation, 2022.
2. World Bank National Accounts Data, and OECD National Accounts Data Files, 2022.
3. Short-term electricity demand forecasting with MARS, S.V.R. and ARIMA models using aggregated demand data in Queensland, Australia;Al-Musaylh;Adv. Eng. Inform.,2018
4. Uncovering the impact of the COVID-19 pandemic on energy consumption: New insight from difference between pandemic-free scenario and actual electricity consumption in China;Wang;J. Clean. Prod.,2021
5. Changes in Food Consumption During the COVID-19 Pandemic: Analysis of Consumer Survey Data From the First Lockdown Period in Denmark, Germany, and Slovenia;Janssen;Front. Nutr.,2021