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Economic Burden of SARS-CoV-2 Patients with Multi-Morbidity: A Systematic Review Protocol
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 syste...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603022/ https://www.ncbi.nlm.nih.gov/pubmed/36293741 http://dx.doi.org/10.3390/ijerph192013157 |
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author | Azzeri, Amirah Ramlee, Mohd Noor Afiq Noor, Mohd Iqbal Mohd Jaafar, Mohd Hafiz Rocmah, Thinni Nurul Dahlui, Maznah |
author_facet | Azzeri, Amirah Ramlee, Mohd Noor Afiq Noor, Mohd Iqbal Mohd Jaafar, Mohd Hafiz Rocmah, Thinni Nurul Dahlui, Maznah |
author_sort | Azzeri, Amirah |
collection | PubMed |
description | 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 I(2) 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). |
format | Online Article Text |
id | pubmed-9603022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96030222022-10-27 Economic Burden of SARS-CoV-2 Patients with Multi-Morbidity: A Systematic Review Protocol Azzeri, Amirah Ramlee, Mohd Noor Afiq Noor, Mohd Iqbal Mohd Jaafar, Mohd Hafiz Rocmah, Thinni Nurul Dahlui, Maznah Int J Environ Res Public Health Systematic Review 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 I(2) 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). MDPI 2022-10-13 /pmc/articles/PMC9603022/ /pubmed/36293741 http://dx.doi.org/10.3390/ijerph192013157 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Systematic Review Azzeri, Amirah Ramlee, Mohd Noor Afiq Noor, Mohd Iqbal Mohd Jaafar, Mohd Hafiz Rocmah, Thinni Nurul Dahlui, Maznah Economic Burden of SARS-CoV-2 Patients with Multi-Morbidity: A Systematic Review Protocol |
title | Economic Burden of SARS-CoV-2 Patients with Multi-Morbidity: A Systematic Review Protocol |
title_full | Economic Burden of SARS-CoV-2 Patients with Multi-Morbidity: A Systematic Review Protocol |
title_fullStr | Economic Burden of SARS-CoV-2 Patients with Multi-Morbidity: A Systematic Review Protocol |
title_full_unstemmed | Economic Burden of SARS-CoV-2 Patients with Multi-Morbidity: A Systematic Review Protocol |
title_short | Economic Burden of SARS-CoV-2 Patients with Multi-Morbidity: A Systematic Review Protocol |
title_sort | economic burden of sars-cov-2 patients with multi-morbidity: a systematic review protocol |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603022/ https://www.ncbi.nlm.nih.gov/pubmed/36293741 http://dx.doi.org/10.3390/ijerph192013157 |
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