Evidence map›Paper›PMID 31931745›Full record

ArticleBMC pregnancy and childbirth2020

Why do women deliver where they had not planned to go? A qualitative study from peri-urban Nairobi Kenya.

V Naanyu, V Mujumdar, C Ahearn, M McConnell, J Cohen

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2020. 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
2.6field-weighted citation impact, top 11% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. COVID-19 Effect on Access to Maternal Health Services in Kenya.Frontiers in global women's health · 2020
    Article
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

5 authors at 3 institutions in 2 countries.

V NaanyuDepartment of Health Policy and Management, School of Public Health, College of Health Science, Moi University, Eldoret, Kenya. vnaanyu@mu.ac.ke.ORCID http://orcid.org/0000-0003-0182-1719
V MujumdarDepartment of Obstetrics and Gynecology, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
C AhearnDepartment of HIV, ID and Global Medicine, UCSF, San Francisco, California, USA.
M McConnellDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA.
J CohenDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA.
Harvard Global Health Institute · USMoi University · KEThomas Jefferson University Hospital · US

Funding

Bill and Melinda Gates Foundation 01818000165
6 · The paper itself

Abstract

backgroundIn urban Kenya, couples face a wide variety of choices for delivery options; however, many women end up delivering in different facilities from those they had intended while pregnant. One potential consequence of this is delivering in facilities that do not meet minimum quality standards and lack the capacity to provide treatment for obstetric and neonatal complications.

methodsThis study investigated why women in peri-urban Nairobi, Kenya deliver in facilities they had not intended to use. We used 60 in-depth audio-recorded interviews in which mothers shared their experiences 2-6 months after delivery. Descriptive statistics were used to summarize socio-demographic characteristics of participants. Qualitative data were analyzed in three steps i) exploration and generation of initial codes; ii) searching for themes by gathering coded data that addressed specific themes; and iii) defining and naming identified themes. Verbatim excerpts from participants were provided to illustrate study findings. The Health Belief Model was used to shed light on individual-level drivers of delivery location choice.

resultsFindings show a confluence of factors that predispose mothers to delivering in unintended facilities. At the individual level, precipitate labor, financial limitations, onset of pain, complications, changes in birth plans, undisclosed birth plans, travel during pregnancy, fear of health facility providers, misconception of onset of labor, wrong estimate of delivery date, and onset of labor at night, contributed to delivery at unplanned locations. On the supply side, the sudden referral to other facilities, poor services, wrong projection of delivery date, and long distance to chosen delivery facility, were factors in changes in delivery location. Lack of transport discouraged delivery at a chosen health facility. Social influences included others' perspectives on delivery location and lack of aides/escorts.

conclusionsResults from this study suggest that manifold factors contribute to the occurrence of women delivering in facilities that they had not intended during pregnancy. Future studies should consider whether these changes in delivery location late in pregnancy contribute to late facility arrival and the use of lower quality facilities. Deliberate counseling during antenatal care regarding birth plans is likely to encourage timely arrival at facilities consistent with women's preferences.

Indexed as

AdultBirth SettingDelivery, ObstetricFearFemaleHealth FacilitiesHealth Services AccessibilityHumansIntentionKenyaMaternal Health ServicesMothersPatient Acceptance of Health CarePregnancyQualitative ResearchUrban PopulationDelivery facility choice; Access to careMaternal and child healthPeri-urban Kenya

Identifiers

PMID31931745
PMCPMC6958584
OpenAlexW3006571835

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.