2023
DOI: 10.61473/001c.82026
|View full text |Cite
|
Sign up to set email alerts
|

Health and related indicators 2022

Abstract: Background This chapter aims to provide a repository of data, focusing on the national and provincial levels, that describes the broad status of the South African health system (socio-demographic indicators and determinants and health status indicators, as well as health service indicators). It examines the available health information data sources in South Africa, with a particular focus on whether they have been strengthened during and after the acute phase of the COVID-19 pandemic. The broader context for t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 34 publications
0
1
0
Order By: Relevance
“…The Western Cape Provincial Health Data Centre (WCPHDC) compiles de-identified person-level longitudinal data by integrating patient data from multiple information systems (administrative, laboratory, pharmacy, hospital, and disease management) in all public sector health facilities in the province [ 17 ]. The database, prior to any exclusions, is estimated to cover the three-quarters of the population of the WC who do not have private health insurance [ 18 ]. These data on public sector healthcare users are used to infer various health conditions with estimated onset dates.…”
Section: Methodsmentioning
confidence: 99%
“…The Western Cape Provincial Health Data Centre (WCPHDC) compiles de-identified person-level longitudinal data by integrating patient data from multiple information systems (administrative, laboratory, pharmacy, hospital, and disease management) in all public sector health facilities in the province [ 17 ]. The database, prior to any exclusions, is estimated to cover the three-quarters of the population of the WC who do not have private health insurance [ 18 ]. These data on public sector healthcare users are used to infer various health conditions with estimated onset dates.…”
Section: Methodsmentioning
confidence: 99%