Evidence map›Paper›PMID 33419448›Full record

ArticleBMC health services research2021

Out-of-pocket costs and time spent attending antenatal care services: a case study of pregnant women in selected rural communities in Zinder, Niger.

Césaire T Ouédraogo, Stephen A Vosti, K Ryan Wessells, Charles D Arnold, M Thierno Faye, Sonja Y Hess

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01832688 (Assessment of the Nutritional Status of Pregnant Women in Zinder, Niger and Optimization of Prenatal Care Services), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.3field-weighted citation impact, top 9% 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.

NCT01832688 completednot on this map

Assessment of the Nutritional Status of Pregnant Women in Zinder, Niger and Optimization of Prenatal Care Services

TypeobservationalSponsorUniversity of California, DavisRan2014 to 2015Enrolled2,306ConditionsPregnancyArmsProgrammatic prenatal care optimization
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 13 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Césaire T OuédraogoDepartment of Nutrition, Institute for Global Nutrition, University of California, One Shields Ave, Davis, CA, 95616, USA. ctouedraogo@ucdavis.edu.ORCID http://orcid.org/0000-0003-0634-3226
Stephen A VostiDepartment of Agricultural and Resource Economics, University of California, Davis, CA, USA.
K Ryan WessellsDepartment of Nutrition, Institute for Global Nutrition, University of California, One Shields Ave, Davis, CA, 95616, USA.
Charles D ArnoldDepartment of Nutrition, Institute for Global Nutrition, University of California, One Shields Ave, Davis, CA, 95616, USA.
M Thierno FayeHelen Keller International, Niamey, Niger.
Sonja Y HessDepartment of Nutrition, Institute for Global Nutrition, University of California, One Shields Ave, Davis, CA, 95616, USA.
United Nations Children's Fund Niger · NEUniversity of California, Davis · USUniversity of California System · US

Funding

Government of Canada through Global Affairs Canada and Nutrition International, formerly the Micronutrient Initiative 201300662
6 · The paper itself

Abstract

backgroundDespite an official policy of exemption from health care costs, pregnant women in Niger still face some out-of-pocket costs (OPC) in addition to time costs when they attend antenatal care (ANC) services. We aimed to: 1) assess the OPC for pregnant woman attending ANC, 2) estimate the time spent to attend ANC and the opportunity cost of that time, and 3) assess how OPC and time spent to attend ANC affected ANC attendance.

methodsData were obtained from a quasi-experimental descriptive study carried out in the region of Zinder, Niger, which compared pre- and post-intervention cohorts of pregnant women (n = 1736 women who reported attending ANC during their current pregnancy). An ANC attendance score was developed to describe the timing of ANC attendance in regard to the WHO recommendation of attending 4 ANC sessions. OPC and time spent were evaluated separately for associations with ANC attendance using Spearman correlations.

resultsThe mean (±SD) age of pregnant women was 25.0 ± 6.4 yr, 19.0% were ≤ 19 yr and 99.7% were in their second or third trimester of gestation at the time of the interview. Among those who were > 13 weeks and > 27 weeks of gestation, 4.0 and 74.4% had attended ANC during their first and second trimesters, respectively. The median (1st quartile (Q1), 3rd quartile (Q3)) ANC score was 0 (- 1, 0), reflecting that the majority of women failed to follow the WHO recommendation. More than half of the women (72.5%) experienced OPC related to ANC. The majority of women (> 80%) reported spending ~ 3 h for an ANC visit, including travel and waiting time. Time spent to attend ANC was not associated with ANC attendance score. Women who experienced OPC, and those who received iron folic acid (IFA) or long-lasting insecticide-treated bednets during an ANC visit, were more likely to have a higher ANC attendance score compared to those who did not.

conclusionOPC and time spent were not identified as barriers to ANC visits, and IFA and long-lasting insecticide-treated bednets distribution could be used to motivate pregnant women to attend ANC.

trial registrationThe NiMaNu project was registered at www.clinicaltrials.gov as NCT01832688 . Registered 16 April 2013.

Indexed as

Pregnant PeoplePrenatal CareCross-Sectional StudiesFemaleHealth ExpendituresHumansNigerPatient Acceptance of Health CarePregnancyRural PopulationAntenatal careNigerOpportunity cost of timeOut-of-pocket costsPregnancy

Identifiers

PMID33419448
PMCPMC7796614
OpenAlexW3118544021

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.