Evidence map›Paper›PMID 33706721›Full record

ArticleBMC family practice2021

Early detection of cervical cancer in western Kenya: determinants of healthcare providers performing a gynaecological examination for abnormal vaginal discharge or bleeding.

Emily Mwaliko, Guido Van Hal, Hilde Bastiaens, Stefan Van Dongen, Peter Gichangi, Barasa Otsyula, Violet Naanyu, Marleen Temmerman

Open access · goldAbstract read
In one paragraph

Article in BMC family practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 25 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Emily MwalikoDepartment of Reproductive Health, School of Medicine, Moi University, Box 4606, Eldoret, 30100, Kenya. waleghwaem@hotmail.com.
Guido Van HalEpidemiology and Social Medicine, Social Epidemiology and Health Policy, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Antwerp, Belgium.
Hilde BastiaensDepartment of Primary and Interdisciplinary Care, Faculty of Medicine and Health Sciences, University of Antwerp, Gouverneur Kinsbergen Centrum, Doornstraat 331 - 2610 Wilrijk, Antwerp, Belgium.
Stefan Van DongenDepartment of Biology, Evolutionary Ecology Group, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.
Peter GichangiDVC Academic Research & Extension, Technical University of Mombasa, Mumbasa, Kenya.
Barasa OtsyulaDepartment of Surgery, School of Medicine, Moi University, P.O. Box 4606, Eldoret, 30100, Kenya.
Violet NaanyuDepartment of Sociology Psychology and Anthropology, School of Arts and Social Sciences, Moi University, P.O. Box 3900, Eldoret, 30100, Kenya.
Marleen TemmermanDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium.
Moi University · KEUniversity of Antwerp · BEGhent University · BETechnical University of Mombasa · KE

Funding

VLIR-UOS/MOI UNIVERSITY KENYA PROGRAM ZIUS2012AP017,ZIUS2013AP017,ZIUS2014AP017,ZIUS2015AP017,ZIUS2016AP017. SERIAL NUMBER:2012-157
6 · The paper itself

Abstract

backgroundIn western Kenya, women often present with late-stage cervical cancer despite prior contact with the health care system. The aim of this study was to predict primary health care providers' behaviour in examining women who present with abnormal discharge or bleeding.

methodsThis was a cross-sectional survey using the theory of planned behaviour (TPB). A sample of primary health care practitioners in western Kenya completed a 59-item questionnaire. Structural equation modelling was used to identify the determinants of providers' intention to perform a gynaecological examination. Bivariate analysis was conducted to investigate the relationship between the external variables and intention.

resultsDirect measures of subjective norms (DMSN), direct measures of perceived behavioural control (DMPBC), and indirect measures of attitude predicted the intention to examine patients. Negative attitudes toward examining women had a suppressor effect on the prediction of health workers' intentions. However, the predictors of intention with the highest coefficients were the external variables being a nurse (β = 0.32) as opposed to a clinical officer and workload of attending less than 50 patients per day (β = 0.56). In bivariate analysis with intention to perform a gynaecological examination, there was no evidence that working experience, being female, having a lower workload, or being a private practitioner were associated with a higher intention to conduct vaginal examinations. Clinical officers and nurses were equally likely to examine women.

conclusionsThe TPB is a suitable theoretical basis to predict the intention to perform a gynaecological examination. Overall, the model predicted 47% of the variation in health care providers' intention to examine women who present with recurrent vaginal bleeding or discharge. Direct subjective norms (health provider's conformity with what their colleagues do or expect them to do), PBC (providers need to feel competent and confident in performing examinations in women), and negative attitudes toward conducting vaginal examination accounted for the most variance. External variables in this study also contributed to the overall variance. As the model in this study could not explain 53% of the variance, investigating other external variables that influence the intention to examine women should be undertaken.

Indexed as

Early Detection of CancerHealth PersonnelUterine Cervical NeoplasmsVaginal DischargeAdultAgedCross-Sectional StudiesFemaleGynecological ExaminationHumansIntentionKenyaMaleMiddle AgedSurveys and QuestionnairesAbnormal uterine bleedingCervical cancerEarly detectionHealth care providersHealth care seeking delaysKenyaPrimary health careTheory of planned behaviour

Identifiers

PMID33706721
PMCPMC7953728
OpenAlexW3133806112

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.