Evidence map›Paper›PMID 27413377›Full record

ArticleObstetrics and gynecology international2016

Client Satisfaction with Delivery Care Service and Associated Factors in the Public Health Facilities of Gamo Gofa Zone, Southwest Ethiopia: In a Resource Limited Setting.

Rahel Tesfaye, Amare Worku, Wanzahun Godana, Bernt Lindtjorn

Abstract read
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Article in Obstetrics and gynecology international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
–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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

4 authors.

Rahel TesfayeArba Minch College of Health Sciences, P.O. Box 155, Arba Minch, Ethiopia.
Amare WorkuAddis Continental Institute of Public Health, P.O. Box 1140, Addis Ababa, Ethiopia.
Wanzahun GodanaDepartment of Public Health, Arba Minch University, P.O. Box 21, Arba Minch, Ethiopia.
Bernt LindtjornCentres for International Health, University of Bergen, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. Ensuring patient satisfaction is an important means of secondary prevention of maternal mortality. This study presents findings from a multidimensional study of client satisfaction from the Gamo Gofa Zone in Southwest Ethiopia. Methods. A facility based cross-sectional study using exit interviews was conducted from 2014. Client satisfaction was measured using a survey adopted from the Donabedian quality assessment framework. Thirteen health institutions were randomly sampled of 66 institutions in Gamo Gofa Zone. Logistic regression was used to determine predictors of client satisfaction. Results. The overall satisfaction level of the clients in this study was 79.1% with (95% CI; 75-82). Women attending health centres were more likely satisfied than women attending hospitals (χ (2) = 83.7, df = 12, P < 0.001). The proportion of women who complained about an unfriendly attitude or unresentful care from health workers was higher in the hospitals (χ (2) = 27.4, df = 1, P < 0.001). The presence of support persons during child birth improved client satisfaction (AOR = 6.23 95% CI; 2.75-14.1) and women who delivered with caesarean section are four times more likely satisfied than those who deliver vaginally (AOR 3.6 95% CI; 1.44-9.06). Client satisfaction was reduced if the women had to pay for the services (AOR = 0.27 95% CI; 0.09-81). Conclusions. The study shows that overall satisfaction level is good. More emphasis should be put on giving women friendly care, particularly at the hospitals.

Identifiers

PMID27413377
PMCPMC4931095

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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.