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Record W4243070694 · doi:10.21203/rs.3.rs-93204/v1

Maternal and Child Health Implementation Research in Mozambique: Effective Community Interventions to Promote Sexual and Reproductive Health

2020· preprint· en· W4243070694 on OpenAlexafffundabout
Paulo Pires, Martins Mupueleque, David Zakus, Jaibo Mucufo, Ahmed Abdirazak, Cynthia Macaringue, Ronald Siemens, Celso Belo

Bibliographic record

VenueResearch Square · 2020
Typepreprint
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of SaskatchewanSaskatchewan HealthUniversity of Toronto
FundersGlobal Affairs Canada
KeywordsReproductive healthPsychological interventionSexual and reproductive health and rightsPsychologyChild healthPolitical scienceEconomic growthGender studiesEnvironmental healthSociologyMedicineReproductive rightsFamily medicinePsychiatryEconomicsPopulation

Abstract

fetched live from OpenAlex

Abstract Background: High maternal and neonatal mortality rates in Mozambique, are due to adolescent pregnancies, difficulties in accessing health services, traditional constraints, and gender inequalities. An implementation research project, Alert Community to Prepared Hospital in Natikiri, Nampula, Mozambique was developed to reduce maternal and new-born mortality. From 2016 to 2020, it implemented activities to improve population knowledge and function in sexual and reproductive health, and to enable community participation in maternal health services. In this paper we will assess and discuss the impact of community participation on improving sexual and reproductive health.Methods: Implementation research with community intervention and programmed mid-term evaluations, using mixed methods research, with descriptive quantitative surveys and qualitative focus groups discussions and interviews, applied from 2017 to 2020. Local health committees, traditional birth attendants, traditional healers and local leadership all participated: trained in sexual and reproductive health and participated in radio discussion groups; community and hospital members of the co-management committee enabled local programming. Maternal and child health indicators were evaluated with health unit’s operational data. Quantitative data were captured in Microsoft Office Excel, analysed with SPSS21 to find frequency, percentage, mean and standard deviation; qualitative data registered in Word was analysed with NVIVO. This research received bioethical approvals from both the Mozambique and Canadian universities and followed Helsinki Declaration recommendations.Results: Comparing changes from 2016 to 2019, the number of health committees operating in Natikiri rose from 7 to 20. Each committee integrated four Family Health Champions, who attained 24738 residents with health education interventions on reproductive health. A theatre group developed dramas about the same key messages, presented in communities. Population access to contraceptives was facilitated, from 42% to 91% in women and from 65% to 90% in men. At Marrere Health Centre, women with four ante-natal visits rose by 185%, and children less than one year of age’ visits 89%; at Marrere General Hospital deliveries rose 60%.Conclusion: Community participation, at all levels of maternal and child health service care continuum, from community to hospital, enhanced with complementary interventions well contextualised, is effective in improving adolescent and adult sexual and reproductive health.Trial registrationThis study was not registered in any data base.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.189
GPT teacher head0.562
Teacher spread0.373 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2020
Admission routes3
Has abstractyes

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