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Record W3197009512 · doi:10.3329/jafmc.v16i1.53848

Access to Maternal Healthcare in Rural Bangladesh: A literature-based Analysis on Factors Affecting Maternal Healthcare Utilization in Bangladesh

2021· article· en· W3197009512 on OpenAlexaff
Rafat Noor, Aumeo Rushdi Saif

Bibliographic record

VenueJournal of Armed Forces Medical College Bangladesh · 2021
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHealth carePsychological interventionDeveloping countryBirth attendantEquity (law)MedicineMillennium Development GoalsRural areaEconomic growthSocioeconomicsEnvironmental healthBusinessGeographyPopulationPolitical scienceNursingMaternal healthHealth servicesSociologyEconomics

Abstract

fetched live from OpenAlex

In the last decade, Bangladesh has made substantial improvements of maternal and newborn mortality, such the maternal mortality ratio (MMR) had dropped from 574 per thousand live births in 1990 to 170 per thousand live births in 2013. Despite these improvements, Bangladesh is still lagging in achieving equity in service utilization. Literature manifested significant healthcare inequities across different socio-demographic factors and religious and cultural views. The primary aims of this analysis are – i) to assess the disparities in the quality and availability of maternal healthcare in Bangladesh and its relation to the service utilization in rural Bangladesh, ii) to identify demand-side interventions implemented in developing countries and relevant considerations to promote maternal healthcare utilization in rural Bangladesh. A narrative literature review was conducted using Rudolph Matas Library, Tulane University online resources, Google Scholar and PUBMED. Articles published between January 1st, 2015 and December 31st, 2018 describing quality, availability and utilization of maternal healthcare services; existing disparities and barriers in healthcare utilization in rural Bangladesh are included in the analysis. This analysis also includes articles describing the impact of demand-side interventions on healthcare utilization in developing countries. A total of 10 articles met the selection criteria. Bibliographies of selected articles were also searched to include additional information in this analysis. Reviews of the literature revealed a significant healthcare equity gap according to place of residences, wealth status, age at birth, and parity of mothers in Bangladesh. According to available study findings, the level of mothers’ education, cultural and social views, women’s employment status, distance of health facility, and perceived quality of care act as significant factors influencing maternal healthcare utilization in rural Bangladesh. Studies have shown that demand-side interventions considering cultural context and other existing barriers result in improved uptake of maternal healthcare and improved health outcome. Only availability of services cannot translate into better outcomes, unless those services are of acceptable quality and the population irrespective of their socio-demographic status can attain those services without any perceived barrier. The analysis suggested, along with ensuring availability and quality of healthcare, the need for demand-side interventions addressing existing barriers make services accessible to the rural communities in Bangladesh. JAFMC Bangladesh. Vol 15, No 1 (June) 2020: 848

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)0.004
metaresearch head score (Gemma)0.013
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: none
Teacher disagreement score0.024
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0240.035
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
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 head0.028
GPT teacher head0.339
Teacher spread0.311 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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