Evidence map›Paper›PMID 34636607›Full record

ArticleAfrican journal of primary health care & family medicine2021

Factors influencing patients' choice of clinic at Inanda, KwaZulu-Natal.

Zethembiso C Hlongwa, Saajida Mahomed

Open access · goldAbstract read
In one paragraph

Article in African journal of primary health care & family medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 76% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Zethembiso C HlongwaKwaZulu-Natal Department of Health, University of KwaZulu-Natal, Durban. hlongwa1@yahoo.com.
Saajida Mahomed
University of KwaZulu-Natal · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn South Africa, patients are meant to attend the clinic close to their place of residence. However, patients often choose which clinic to attend, which results in overcrowding.

aimThis study aimed to investigate the structural and process factors influencing patients' choice to attend a community health centre (CHC) in KwaZulu-Natal, South Africa.

settingThe study was conducted at the Inanda C Community Health Centre (CHC).

methodsSystematic random sampling was used to select study participants. A structured questionnaire was used to collect socio-demographic data and assess the factors influencing patients' choice to attend this CHC.

resultsThere were 400 patients who participated. The commonest structural indicator that patients agreed on as the reason they attend Inanda C CHC was because it has enough medication (126, 73.3%). There was a significant difference in the proportion of patients who agreed that seeing a doctor instead of nurse was a reason for attending this clinic with 118 (68.6%) patients from within the catchment area and 170 (74.6%) from outside the catchment area. The commonest process indicators that patients from within and outside the catchment area agreed on as reasons for attending Inanda C CHC were 'the doctor or nurse explains my sickness and treatment to me' and 'I get good quality of care'.

conclusionThe structural and process indicators that influence patients' choice of clinic may need to be improved at other clinics in this area in order to decrease the overcrowding at this clinic.

Indexed as

Ambulatory Care FacilitiesCatchment Area, HealthHumansSouth AfricaSurveys and Questionnairesclinic overcrowdingInanda C CHCpatients’ choicestructural indicator and process indicators

Identifiers

PMID34636607
PMCPMC8517793
OpenAlexW3201365627

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.