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Record W3131695410 · doi:10.1136/bmjgh-2020-003750

Delivering maternal and neonatal health interventions in conflict settings: a systematic review

2021· review· en· W3131695410 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBMJ Global Health · 2021
Typereview
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsSickKids FoundationHospital for Sick Children
FundersDirektoratet for UtviklingssamarbeidInternational Development Research CentreUNICEFBill and Melinda Gates Foundation
KeywordsPsychological interventionCINAHLMedicinePsycINFOGrey literatureMEDLINEPopulationHumanitarian crisisIntervention (counseling)Systematic reviewHealth careNursingFamily medicineEnvironmental healthPolitical scienceRefugee

Abstract

fetched live from OpenAlex

BACKGROUND: While much progress was made throughout the Millennium Development Goals era in reducing maternal and neonatal mortality, both remain unacceptably high, especially in areas affected by humanitarian crises. While valuable guidance on interventions to improve maternal and neonatal health in both non-crisis and crisis settings exists, guidance on how best to deliver these interventions in crisis settings, and especially in conflict settings, is still limited. This systematic review aimed to synthesise the available literature on the delivery on maternal and neonatal health interventions in conflict settings. METHODS: We searched MEDLINE, Embase, CINAHL and PsycINFO databases using terms related to conflict, women and children, and maternal and neonatal health. We searched websites of 10 humanitarian organisations for relevant grey literature. Publications reporting on conflict-affected populations in low-income and middle-income countries and describing a maternal or neonatal health intervention delivered during or within 5 years after the end of a conflict were included. Information on population, intervention, and delivery characteristics were extracted and narratively synthesised. Quantitative data on intervention coverage and effectiveness were tabulated but no meta-analysis was undertaken. RESULTS: 115 publications met our eligibility criteria. Intervention delivery was most frequently reported in the sub-Saharan Africa region, and most publications focused on displaced populations based in camps. Reported maternal interventions targeted antenatal, obstetric and postnatal care; neonatal interventions focused mostly on essential newborn care. Most interventions were delivered in hospitals and clinics, by doctors and nurses, and were mostly delivered through non-governmental organisations or the existing healthcare system. Delivery barriers included insecurity, lack of resources and lack of skilled health staff. Multi-stakeholder collaboration, the introduction of new technology or systems innovations, and staff training were delivery facilitators. Reporting of intervention coverage or effectiveness data was limited. DISCUSSION: The relevant existing literature focuses mostly on maternal health especially around the antenatal period. There is still limited literature on postnatal care in conflict settings and even less on newborn care. In crisis settings, as much as in non-crisis settings, there is a need to focus on the first day of birth for both maternal and neonatal health. There is also a need to do more research on how best to involve community members in the delivery of maternal and neonatal health interventions. PROSPERO REGISTRATION NUMBER: CRD42019125221.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.184
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.063
GPT teacher head0.464
Teacher spread0.400 · 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