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Record W3202672176 · doi:10.1101/2021.09.27.21264197

Availability and readiness of healthcare facilities and their effects on long-acting modern contraception use in Bangladesh: Analysis of linked data

2021· preprint· en· W3202672176 on OpenAlexaff
Md Nuruzzaman Khan, M. Mofizul Islam, Shahinoor Akter

Bibliographic record

VenuemedRxiv · 2021
Typepreprint
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsHealth facilityLogistic regressionDemographyMedicineEnvironmental healthHealth careOdds ratioUnit (ring theory)OddsGeographyPopulationPsychologyHealth servicesEconomic growthEconomics

Abstract

fetched live from OpenAlex

Aim Evidence on the availability and accessibility of health facilities and their impacts on long-acting modern contraceptives (LAMC) use in low- and middle-Income countries are scarce. This study examined the influence of the availability and readiness of health facilities in determining the use of LAMC in Bangladesh. Methods We linked data of the Bangladesh Demographic and Health Survey and the Health Facility Survey using the administrative-boundary linkage method. Mixed effect multilevel logistic regression was conducted. The sample comprised 10,938 married women of 15-49 years of age, who were fertile but did not desire a child within two years of the date of survey. The outcome variable was the current use of LAMC (yes, no) and the explanatory variables were health facility-, individual-, household- and community-level factors. Results Nearly 34% of participants used LAMC with significant variations across areas in Bangladesh. The average distance between the nearest LAMC-providing health facilities and women’s homes was 6.36 km, higher in the Sylhet division (8.34 km) and lower in the Dhaka division (4.34 km). Increased scores for the management (adjusted odds ratio (AOR) 1.59; 95% CI, 1.21-2.42) and infrastructure (AOR, 1.44; 95% CI, 1.01-1.69) of health facilities were positively associated with the overall uptake of LAMC. AORs for women to report using LMAC were 2.16 (95% CI, 1.18-3.21) and 1.74 (95% CI, 1.15-3.20), respectively, for per unit increase in the availability and readiness scores to provide LAMC at the nearest health facilities. Nearly 27% decline in the likelihood of LAMC uptake was observed for every kilometer increase in the average regional-level distance between women’s homes and the nearest health facilities. Conclusion The availability of health facilities close to residence and their improved management, infrastructure, and readiness to provide LAMC play a significant role in increasing LAMC uptake among women. Policies and programs should prioritize increasing the availability and accessibility of health facilities that provide LAMC services.

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)0.016
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.005
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
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 head0.065
GPT teacher head0.320
Teacher spread0.254 · 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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