Evidence map›Paper›PMID 36190697›Full record

ArticleGlobal health action2022

Frequency and impact of long wait times for family planning in public-sector healthcare facilities in Western Kenya.

Caitlin R Williams, Laura E Britton, Brooke W Bullington, Debborah Muthoki Wambua, Dickens Otieno Onyango, Katherine Tumlinson

Abstract read
In one paragraph

Article in Global health action, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

8 citing papers in PubMed.

  1. Trial
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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

6 authors.

Caitlin R WilliamsDepartment of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Laura E BrittonColumbia University School of Nursing, New York City, NY, USA.
Brooke W BullingtonDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-3341-087X
Debborah Muthoki WambuaInnovations for Poverty Action-Kenya, Nairobi, Kenya.
Dickens Otieno OnyangoKisumu County Department of Health, Kisumu, Kenya.
Katherine TumlinsonDepartment of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
Training Program in Reproductive, Perinatal, and Pediatric EpidemiologyT32HD052468 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Julie L Daniels · 2008 to 2026
$3.8M
Scientific and Technical Computing CoreP2CHD047879 · NICHD · PRINCETON UNIVERSITY · PI MASSEY, DOUGLAS S · 2014 to 2018
$2.0M
Service Delivery Factors Influencing Contraceptive Use Dynamics in Developing Countries: A Mixed-Methods and Cross-Disciplinary ApproachR00HD086270 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TUMLINSON, KATHERINE M · 2017 to 2019
$665k
NICHD NIH HHS P2C HD047879NICHD NIH HHS P2C HD050924NICHD NIH HHS R00 HD086270NICHD NIH HHS T32 HD052468NINR NIH HHS T32 NR007969
6 · The paper itself

Abstract

backgroundLong wait times for family planning services are a barrier to high quality care and client satisfaction. Existing literature examining family planning wait times has methodological limitations, as most studies use data collected during exit interviews, which are subject to recall, courtesy, and selection bias.

objectiveWe sought to employ a mixed methods approach to capture the prevalence, length, causes, and impacts of wait times for family planning services in Western Kenya.

methodsWe used mystery clients, focus groups, key informant interviews, and journey mapping workshops to measure and describe family planning wait times. Fifteen mystery clients visited 60 public-sector facilities to quantitatively capture wait times. We conducted eight focus group discussions with 55 current or former family planning clients and 19 key informant interviews to understand facility-level barriers to family planning and feasible solutions. Finally, we visualized the process of seeking and providing family planning with journey mapping workshops with nine clients and 12 providers.

resultsMystery clients waited, on average, 74 minutes to be seen for family planning services. In focus group discussions and key informant interviews, three themes emerged: the nature of wait times, the impact of wait times, and how to address wait times. Clients characterized long wait times as a barrier to achieving their reproductive desires. Key informants perceived provider shortages to cause long wait times, which reduced quality of family planning services. Both providers and family planning clients suggested increasing staffing or offering specialization to decrease wait times and increase quality of care.

conclusionOur mixed methods approach revealed that wait times for family planning services were common, could be extensive, and were viewed as a barrier to high quality of care by clients, providers, and key informants. Across the board, participants felt that addressing workforce shortages would enhance service delivery and thus promote reproductive autonomy among women in Kenya.

Indexed as

Family Planning ServicesWaiting ListsFemaleHumansKenyaPatient SatisfactionQuality of Health Careaccess to carecontraceptionQueuessub-Saharan Africawomen’s health

Identifiers

PMID36190697
PMCPMC9543147

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.