Evidence map›Paper›PMID 31011272›Full record

ArticleEthiopian journal of health sciences2019

Provider-Related Predictors of Utilization of University Health Services in Nigeria.

Olumide Abiodun, Faithman Ovat, Oluwatosin Olu-Abiodun

Abstract read
In one paragraph

Article in Ethiopian journal of health sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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

3 authors.

Olumide AbiodunDepartment of Community Medicine, Babcock University, Ilishan, Nigeria.
Faithman OvatBenjamin Carson School of Medicine, Babcock University, Ilishan, Nigeria.
Oluwatosin Olu-AbiodunThe School of Nursing, Ogun State Ministry of Health, Ijebu-Ode, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe utilization of health services is an important policy concern in most developing countries. Many staff and students do not utilize the health services within the university system despite the availability of good quality services. This study investigated the provider-related factors related to utilization of university health service by staff and students in a privately owneduniversity in Nigeria.

methodsThe perception of the quality of a university health service was investigated among a cross-section of 600 university staff and students who were selected by a stratified random sampling scheme. A self-administered questionnaire-based study was conducted. The structure, process and output predictors of utilization of the university health facility were assessed. Data analysis was carried out using Stata I/C 15.0.

resultsThe average age of the participants was 22.93±7.58 years. About two-thirds of them did not have opinion about the mortality and morbidity rates at the university health center. Significant proportions of the participants reported good perceptions about the structure and process quality of service indicators. Utilization of the university health center was predicted by some structure and process indicators namely; the availability/experience of staff (AOR 2.44; CI 1.67-3.58), the organization of healthcare (AOR 1.64; CI 1.11-2.41), the continuity of treatment (AOR 1.74; CI 1.12-2.70) and the waiting time (AOR 0.41; CI 0.28-0.61).

conclusionThe utilization of university health services was predicted by availability/experience of staff, the organization of healthcare, the waiting time and the continuity of care. The structure-process-outcome approach discriminates between the students and staff who utilize the university health center and those who donot. It also suggests a complex interplay of factors in the prediction of choice of a health facility.

Indexed as

AdolescentAdultAttitude to HealthCross-Sectional StudiesFacultyFemaleHealth Care SurveysHealth PersonnelHumansMaleNigeriaQuality of Health CareStudent Health ServicesStudentsYoung AdultHealth centrepredictorsquality of serviceuniversity

Identifiers

PMID31011272
PMCPMC6460440

What OpenQuestion holds

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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.