Assessing the geographical distribution of comorbidity among commercially insured individuals in South Africa
Datos Bibliográficos
| ID | 15364863 |
|---|---|
| Autores | Cristina Mannie (0000-0002-7762-2962, City of Cape Town, autor de correspondencia), Hadi Kharrazi (0000-0003-1481-4323, City of Cape Town) |
| Año | 2020 |
| Volumen | 20 |
| Número | 1 |
| Páginas | 1709-1709 |
| Fecha de publicación | 2020-11-16 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | BMC Public Health (JOURNAL) |
| Identificadores de la revista | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Editorial | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/s12889-020-09771-6 |
| PMID | 33198704 |
| OpenAlex | W3098157937 |
| Idioma | EN |
| Referencias citadas | 21 |
Our results show underlying disparities in CMI at national, provincial, and district levels. Use of geo-level CMI scores, along with other social data affecting health outcomes, can enable public health departments to improve the management of disease burdens locally and nationally. Our results could also improve the identification of underserved individuals, hence bridging the gap between public health and population health management efforts
Biostatistics · Comorbidity · Disease · Environmental health · Health care · Population · Psychiatry · Public health · Chronic Disease Management Strategies · Demography · Health disparities and outcomes · Healthcare Systems and Reforms · Medicine · Epidemiology · Gerontology
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| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |