Evidence map›Paper›PMID 34511085›Full record

ArticleBMC health services research2021

Is South Africa closing the health gaps between districts? Monitoring progress towards universal health service coverage with routine facility data.

Candy Day, Andy Gray, Annibale Cois, Noluthando Ndlovu, Naomi Massyn, Ties Boerma

Abstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. An audit of completeness of Road to Health Booklet at a community health centre in South Africa.African journal of primary health care & family medicine · 2024
    Article
  6. Article
  7. District-level monitoring of universal health coverage, India.Bulletin of the World Health Organization · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Multimorbidity in South Africa: Is the health system ready?Journal of multimorbidity and comorbidity
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Candy DayHealth Systems Trust, Durban, South Africa. candy.foster.day@gmail.com.ORCID http://orcid.org/0000-0002-7290-0855
Andy GrayDiscipline of Pharmaceutical Sciences, University of KwaZulu-Natal, Durban, South Africa.
Annibale CoisHealth Systems Trust, Durban, South Africa.
Noluthando NdlovuHealth Systems Trust, Durban, South Africa.
Naomi MassynHealth Systems Trust, Durban, South Africa.
Ties BoermaDepartment of Community Health Sciences, University of Manitoba, Winnipeg, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSouth Africa is committed to advancing universal health coverage (UHC). The usefulness and potential of using routine health facility data for monitoring progress towards UHC, in the form of the 16-tracer WHO service coverage index (SCI), was assessed.

methodsAlternative approaches to calculating the WHO SCI from routine data, allowing for disaggregation to district level, were explored. Data extraction, coding, transformation and modelling processes were applied to generate time series for these alternatives. Equity was assessed using socio-economic quintiles by district.

resultsThe UHC SCI at a national level was 46.1 in 2007-2008 and 56.9 in 2016-2017. Only for the latter period, could the index be calculated for all indicators at a district level. Alternative indicators were formulated for 9 of 16 tracers in the index. Routine or repeated survey data could be used for 14 tracers. Apart from the NCD indicators, a gradient of poorer performance in the most deprived districts was evident in 2016-2017.

conclusionsIt is possible to construct the UHC SCI for South Africa from predominantly routine data sources. Overall, there is evidence from district level data of a trend towards reduced inequity in relation to specific categories (notably RMNCH). Progress towards UHC has the potential to overcome fragmentation and enable harmonisation and interoperability of information systems. Private sector reporting of data into routine information systems should be encouraged.

Indexed as

Health ServicesUniversal Health InsuranceHumansPrivate SectorSouth AfricaRoutine dataService coverage indexSubnational disaggregationSurvey dataUniversal health coverage

Identifiers

PMID34511085
PMCPMC8435360

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.