Evidence map›Paper›PMID 25496120›Full record

ArticleBMC family practice2014

Development of a family physician impact assessment tool in the district health system of the Western Cape Province, South Africa.

Kevin S Pasio, Robert Mash, Tracey Naledi

Abstract readValidation Study
In one paragraph

Article in BMC family practice, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Creating the evidence for family medicine advocacy in Africa.African journal of primary health care & family medicine · 2025
    Article
  2. Stakeholders' views on the utility and employment strategies of clinical associates.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2022
    Article
  3. Article
  4. The Pan African medical journal · 2021
    Article
  5. Article
  6. Article
  7. The attitude and perceptions of doctors at Letaba Hospital towards family medicine: A qualitative study.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. How far does family physician supply correlate with district health system performance?African journal of primary health care & family medicine · 2015
    Article
  12. 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

3 authors.

Kevin S PasioDivision of Family Medicine and Primary Care, Stellenbosch University, Box 19063, Tygerberg, 7505, South Africa. kevpasio@gmail.com.
Robert MashDivision of Family Medicine and Primary Care, Stellenbosch University, Box 19063, Tygerberg, 7505, South Africa. rm@sun.ac.za.
Tracey NalediHealth Programmes, Department of Health, Western Cape Government, Western Cape, South Africa. Tracey.Naledi@westerncape.gov.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolicy makers in Africa are ambivalent about the need for family physicians to strengthen district health services. Evidence on the impact of family physicians is therefore needed. The aim was to develop a tool to evaluate the impact of family physicians on district health services according to the six expected roles that have been defined nationally.

methodsMixed methods were used to develop, validate, pilot and test the reliability of the tool in the Western Cape Province, South Africa. An expert panel validated the content and construction of the tool. The tool was piloted by 94 respondents who evaluated eight family physicians. Cronbach alpha scores were calculated to test the reliability of the tool. The impact of these family physicians in the pilot study was also analysed.

resultsA draft tool was successfully developed, validated, and proved reliable (Cronbach alpha >0.8). The overall scores (scale of 1-4) were: Care provider = 3.5, Consultant = 3.4, Leader and champion of clinical governance = 3.4, Capacity builder = 3.3, Clinical trainer and supervisor = 3.2 and Champion of community-orientated primary care (COPC) = 3.1. The impact on COPC was significantly less than the impact of other roles (p < 0.05).

conclusionThe Family Physician Impact Evaluation Tool can be used to measure the impact of family physicians in South Africa. The pilot study shows that the family physicians are having most impact in terms of clinical care and clinical governance, and a lesser impact in terms of clinical training, capacity-building and especially COPC.

Indexed as

Health PolicyHealth Services Needs and DemandPhysicians, FamilyPhysician's RoleCommunity Health ServicesHumansReproducibility of ResultsSouth Africa

Identifiers

PMID25496120
PMCPMC4276011

What OpenQuestion holds

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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.