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Record W4311581250 · doi:10.1186/s12978-022-01532-5

Women’s empowerment indicators and short- and long-acting contraceptive method use: evidence from DHS from 11 countries

2022· article· en· W4311581250 on OpenAlex
Kenneth Setorwu Adde, Edward Kwabena Ameyaw, Kwamena Sekyi Dickson, Jones Arkoh Paintsil, Olanrewaju Oladimeji, Sanni Yaya

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.

Bibliographic record

VenueReproductive Health · 2022
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsEmpowermentDemographyMultinomial logistic regressionMedicineFamily planningLogistic regressionOdds ratioPopulationDescriptive statisticsPublic healthReproductive healthReproductive medicineOddsEnvironmental healthEconomic growthPregnancyNursingSociologyStatisticsResearch methodology

Abstract

fetched live from OpenAlex

BACKGROUND: With a population of about 1.1 billion, sub-Saharan Africa is projected to overtake Eastern, Southern and Central Asia to become the most populous region by 2060. One effective approach for slowing this rapid population growth is the use of modern contraception and this may be short-acting or long acting. Previous studies have explored the association between women empowerment indicators contraception use, however, there is limited evidence on how women empowerment indicators associate with type of contraception. Hence the present study investigated the association between women empowerment indicators and type of contraception used by women in 11 sub-Saharan African countries. METHODS: We utilised Demographic and Health Survey data of 22,637 women from 11 countries, collected between 2018 and 2021. The outcome variable was type of contraception used. Descriptive and inferential analyses were executed. The descriptive analysis reflected women empowerment indicators and the proportion of women using contraceptives. Multinomial logistic regression was considered for the inferential analysis. The results for the multinomial logistic regression were presented as adjusted odds ratios (aORs) along with the respective 95% confidence intervals (CIs) signifying precision. The sample weight (wt) was used to account for the complex survey (svy) design. All the analyses were done with Stata version 13 and SPSS version 25. RESULTS: The study showed that on the average, 15.95% of the women do not use modern contraceptives, whilst 30.67% and 53.38% use long-acting and short-acting contraceptives respectively. The adjusted models showed that women who were working had higher odds of using long-acting (aOR = 1.44, CI 1.28-1.62) and short-acting (aOR = 2.00, CI 1.79-2.24) methods compared with those who were not working. The analysis revealed higher likelihood of long-acting method use among women with high decision-making capacity (aOR = 1.27, CI 1.09-1.47) compared with women with low decision-making capacity. Women with medium knowledge level had a higher likelihood (aOR = 1.54, 1.09-2.17) of using long-acting methods than their counterparts with low knowledge level. CONCLUSION: Our findings show that most women in the 11 countries use modern contraceptives, however, different empowerment indicators align with different contraceptive type. It therefore behoves governments of the studied countries to review current interventions and embrace new ones that are more responsive to the peculiar contraception needs of empowered and non-empowered women.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.024
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.356
Teacher spread0.316 · 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