Evidence map›Paper›PMID 31370854›Full record

ArticleBMC health services research2019

Client experiences with antenatal care waiting times in southern Mozambique.

Estelle Gong, Janeth Dula, Carla Alberto, Amanda de Albuquerque, Maria Steenland, Quinhas Fernandes, Rosa Marlene Cuco, Sandra Sequeira, Sérgio Chicumbe, Eduardo Samo Gudo and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 42 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

11 authors at 7 institutions in 4 countries.

Estelle GongDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, MA, USA. estelle@mail.harvard.edu.ORCID http://orcid.org/0000-0002-6849-0291
Janeth DulaInstituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique.
Carla AlbertoInstituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique.
Amanda de AlbuquerquePontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil.
Maria SteenlandPopulation Studies and Training Center, Brown University, Providence, RI, USA.
Quinhas FernandesNational Directorate of Public Health, Ministry of Health, Maputo, Mozambique.
Rosa Marlene CucoNational Directorate of Public Health, Ministry of Health, Maputo, Mozambique.
Sandra SequeiraDepartment of International Development, London School of Economics, London, UK.
Sérgio ChicumbeInstituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique.
Eduardo Samo GudoInstituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique.
Margaret McConnellDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Instituto Nacional de Saúde · MZMinistry of Health · MZBrown University · USHarvard Global Health Institute · USHarvard University · USLondon School of Economics and Political Science · GBPontifícia Universidade Católica do Rio de Janeiro · BR

Funding

Department of Global Health and Population, Harvard T. H. Chan School of Public Health N/AMaternal Health Task Force N/AMichael Von Clemm Traveling Fellowship N/A
6 · The paper itself

Abstract

backgroundAntenatal care (ANC) provides a range of critical health services during pregnancy that can improve maternal and neonatal health outcomes. In Mozambique, only half of women receive four or more ANC visits, which are provided for free at public health centers by maternal and child health (MCH) nurses. Waiting time has been shown to contribute to negative client experiences, which may be a driver of low maternity care utilization. A recent pilot study of a program to schedule ANC visits demonstrated that scheduling care reduces waiting time and results in higher rates of complete ANC. This study aims to explore client experiences with waiting time for ANC in standard practice and care and after the introduction of appointment scheduling.

methodsThis study uses a series of qualitative interviews to unpack client experiences with ANC waiting time with and without scheduled care, in order to better understand the impact of waiting time on client experiences. Thirty-eight interviews were collected in May to June 2017 at three pilot study clinics in southern Mozambique, with a focus on two paired intervention and comparison facilities sharing similar facility characteristics. Data were analyzed using inductive thematic analysis methods using NVivo software.

resultsClients described strong motivations to seek ANC, pointing to the need to address convenience of care, and highlighted direct and indirect costs of seeking care that were exacerbated by long waiting times. Direct costs include time and transport costs of going to the clinic, while indirect costs include being unable to fulfill household and work obligations. Other barriers to complete ANC utilization of four or more visits include transport costs, negative provider experiences, and delayed ANC initiation, which limit the potential number of clinic contacts.

conclusionsFindings demonstrate that the scheduling intervention improves the client experience of seeking care by allowing women to both seek ANC and fulfill other productive obligations. Innovation in healthcare delivery should consider adapting models that minimize waiting times.

Indexed as

Attitude to HealthWaiting ListsAdultFemaleHealth Services ResearchHumansMozambiquePatient Acceptance of Health CarePilot ProjectsPregnancyPrenatal CareQualitative ResearchYoung AdultAntenatal careHealth servicesMaternal and child healthQuality of care

Identifiers

PMID31370854
PMCPMC6670125
OpenAlexW2965540255

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.