Evidence map›Paper›PMID 27247157›Full record

ArticleAfrican journal of primary health care & family medicine2016

Western Cape Primary Care Assessment Tool (PCAT) study: Measuring primary care organisation and performance in the Western Cape Province, South Africa (2013).

Graham F Bresick, Abdul-Rauf Sayed, Cynthia Le Grange, Susheela Bhagwan, Nayna Manga, Derek Hellenberg

Abstract readMulticenter Study
In one paragraph

Article in African journal of primary health care & family medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  5. Article
  6. Adaptation and validation of the Ugandan Primary Care Assessment Tool.African journal of primary health care & family medicine · 2023
    Article
  7. Article
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  12. Investigating the effect of the Vula Mobile app on coordination of care and capacity building in district health services, Cape Town: Convergent mixed methods study.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2021
    Article
  13. Article
  14. Article
  15. Evaluation of the quality of service delivery in private sector, primary care clinics in Kenya: A descriptive patient survey.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2020
    Article
  16. Article
  17. Measuring the quality of primary care in national health surveys: Lessons from Brazil.African journal of primary health care & family medicine · 2020
    Article
  18. Article
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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.

Graham F BresickDivision of Family Medicine School of Public Health and Family Medicine, Health Sciences Faculty, University of Cape Town, South Africa. graham.bresick@uct.ac.za.
Abdul-Rauf Sayed
Cynthia Le Grange
Susheela Bhagwan
Nayna Manga
Derek Hellenberg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMajor health sector reform and the need for baseline measures of performance to determine impact.

aimBaseline audit of primary healthcare (PHC) performance.

settingCape Town and Cape Winelands (rural) PHC facilities (PCFs) in Western Cape Province, South Africa.

methodThe South African cross-culturally validated ZA PCAT to audit PHC performance on 11 subdomains associated with improved health and reduced costs. Adult PCF users systematically sampled. All full-time doctors and nurse practitioners in PCFs sampled and all PCF managers in sub-districts sampled invited into the study.

resultsData from 1432 users, 100 clinicians and 64 managers from 13 PCFs in 10 sub-districts analysed (figures show stakeholder percentages scoring subdomain performance 'acceptable to good'). 11.5% users scored access 'acceptable to good'; community orientation and comprehensive services provided 20.8% and 39.9%, respectively. Total PHC score for users 50.2%; for managers and practitioners 82.8% and 88.0%, respectively. Among practitioners access was lowest (33.3%); PHC team (98.0%) and comprehensive services available (100.0%) highest. Among managers, access (13.5%) and family centredness (45.6%) are lowest; PHC team (85.9%) and comprehensive services available (90.6%) highest. Managers scored access, family centredness and cultural competence significantly lower than practitioners. Users scored comprehensive services available, comprehensive services provided and community orientation significantly lower than practitioners and managers.

conclusionGaps between users' experience and providers' assessments of PHC performance are identified. Features that need strengthening and alignment with best practice, provincial and national, and health policies are highlighted with implications for practitioner and manager training, health policy, and research.

Indexed as

Attitude of Health PersonnelMedical AuditPatient SatisfactionAdolescentAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedNurse PractitionersPhysiciansPractice ManagementPrimary Health CareRural HealthRural Health Services

Identifiers

PMID27247157
PMCPMC4913443

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.