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Record W2809215140 · doi:10.1186/s12884-018-1881-3

The fourth delay and community-driven solutions to reduce maternal mortality in rural Haiti: a community-based action research study

2018· article· en· W2809215140 on OpenAlexafffund
Tonya MacDonald, Suzanne F. Jackson, Marie-Carmèle Charles, Marius Periel, Marie-Véna Jean-Baptiste, Alex Salomon, Éveillard Premilus

Bibliographic record

VenueBMC Pregnancy and Childbirth · 2018
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsCégep du Vieux MontréalUniversity of TorontoLaurentian University
FundersUniversity of Toronto
KeywordsMedicineMaternal deathParticipatory action researchChildbirthCommunity-based participatory researchFocus groupCommunity mobilizationCommunity healthReproductive medicineNeighbourhood (mathematics)NursingPublic healthEnvironmental healthPregnancyPopulationEconomic growthSociology

Abstract

fetched live from OpenAlex

BACKGROUND: In Haiti, the number of women dying in pregnancy, during childbirth and the weeks after giving birth remains unacceptably high. The objective of this research was to explore determinants of maternal mortality in rural Haiti through Community-Based Action Research (CBAR), guided by the delays that lead to maternal death. This paper focuses on socioecological determinants of maternal mortality from the perspectives of women of near-miss maternal experiences and community members, and their solutions to reduce maternal mortality in their community. METHODS: The study draws on five semi-structured Individual Interviews with women survivors of near-misses, and on four Focus Group Discussions with Community Leaders and with Traditional Birth Attendants. Data collection took place in July 2013. A Community Research Team within a resource-limited rural community in Haiti undertook the research. The methods and analysis process were guided by participatory research and CBAR. RESULTS: Participants identified three delays that lead to maternal death but also described a fourth delay with respect to community responsibility for maternal mortality. They included women being carried from the community to a healthcare facility as a special example of the fourth delay. Women survivors of near-miss maternal experiences and community leaders suggested solutions to reduce maternal death that centered on prevention and community infrastructure. Most of the strategies for action were related to the fourth delay and include: community mobilization by way of the formation of Neighbourhood Maternal Health/Well-being Committees, and community support through the provision/sharing of food for undernourished women, offering monetary support and establishment of a communication relay/transport system in times of crisis. CONCLUSIONS: Finding sustainable ways to reduce maternal mortality requires a community-based/centred and community-driven comprehensive approach to maternal health/well-being. This includes engagement of community members that is dependent upon community knowledge, political will, mobilization, accountability and empowerment. An engaged/empowered community is one that is well placed to find ways that work in their community to reduce the fourth delay and in turn, maternal death. Potentially, community ownership of challenges and solutions can lead to more sustainable improvements in maternal health/well-being in Haiti.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.147
GPT teacher head0.408
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations49
Published2018
Admission routes2
Has abstractyes

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