Evidence map›Paper›PMID 39839314›Full record

SynthesisFrontiers in global women's health2024

Predictors of client satisfaction with family planning services in Ethiopia: a systematic review and meta-analysis.

Yeshiwas Ayale Ferede, Worku Chekol Tassew, Agerie Mengistie Zeleke

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in global women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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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.

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

3 authors.

Yeshiwas Ayale FeredeDepartment of Reproductive Health, Teda Health Science College, Gondar, Ethiopia.
Worku Chekol TassewDepartment of Medical Nursing, Teda Health Science College, Gondar, Ethiopia.
Agerie Mengistie ZelekeDepartment of Clinical Midwifery, Teda Health Science College, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The use of modern contraceptives by married Ethiopian women has increased over the past 15 years. Despite a few studies reporting different predictors of satisfaction with family planning services, there is a lack of nationwide data showing the determinants of client satisfaction with family planning services. Thus, this meta-analysis aimed to determine the predictors of client satisfaction with family planning services in Ethiopia. Methods: From January 20 to March 10, 2024, a thorough search of the literature was conducted using PubMed, Web of Science, EMBASE, CINAHL, and Google Scholar. The quality of the included studies was assessed using the critical assessment checklist developed by the Joanna Briggs Institute (JBI). The statistical program Stata 11 was used to carry out the analysis. Using Cochran's Q-statistic, heterogeneity was statistically assessed and measured by the Results: Independent factors influencing clients' satisfaction with family planning services included waiting times of less than one hour (POR = 4.37; 95% CI: 2.05, 9.32), ensuring privacy (POR = 6.31; 95% CI: 2.78, 14.28), convenient opening hours (POR = 5.91; 95% CI: 1.61, 21.63), education level above primary school (AOR = 2.61; 95% CI: 1.02, 6.68), being informed about side effects (AOR = 3.08; 95% CI: 1.22, 7.74), and receiving adequate information (POR = 4.2; 95% CI: 1.87, 9.44). Conclusion: The findings indicate that key factors significantly influencing client satisfaction with family planning services include reduced waiting times, privacy protection, convenient service hours, higher education levels, being informed about potential side effects, and receiving comprehensive information. These elements are critical for improving satisfaction and should be prioritized in family planning services. As a result, Ethiopian policymakers and decision-makers must devise plans to maximize client satisfaction with healthcare services through client-centered care. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=563937, PROSPERO (CRD42024563937).

Indexed as

client satisfactionEthiopiafamily planning servicespredictorssystematic review

Identifiers

PMID39839314
PMCPMC11747235

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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.