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Record W4400668217 · doi:10.9745/ghsp-d-23-00503

Assessing Acceptability of Biodegradable Contraceptive Implants in Kenya and Senegal

2024· article· en· W4400668217 on OpenAlexaff
Alice F. Cartwright, Rebecca L. Callahan, Anna Lawton, Christina Wong, Oliver Muchiri, Samira Matan

Bibliographic record

VenueGlobal Health Science and Practice · 2024
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsWorkplace Health, Safety and Compensation Commission
FundersFHI 360Bill and Melinda Gates FoundationUnited States Agency for International Development
KeywordsDeveloping countryMedicineFamily planningResearch methodologyGynecologyPopulationObstetricsEnvironmental healthFamily medicineEconomic growth

Abstract

fetched live from OpenAlex

BACKGROUND: Contraceptive implants are popular in Africa, but barriers to removal exist. Biodegradable implants (BDIs) offer an alternative to the need for removal. This study explored potential user, provider, and other stakeholder perspectives on 2 BDI prototypes, revealing opportunities and challenges for introduction. METHODS: We conducted focus group discussions (FGDs) and in-depth interviews (IDIs) with women, men, family planning (FP) providers, community influencers, and FP policymakers and program staff in Kenya and Senegal. Characteristics of the 2 BDI prototypes were shared, and participants held and interacted with placebo prototypes. Structural coding was used to analyze the data focused on key product attributes, including biodegradation, removal potential, size, material, insertion site, and duration of effectiveness. RESULTS: We conducted 16 FGDs and 35 IDIs with 106 participants in Kenya and 15 FGDs and 43 IDIs with 102 participants in Senegal. Overall, respondents liked the idea of a BDI, noting the avoidance of pain and scarring and reduced transport and costs as benefits of no removal requirement. Kenyan respondents expressed greater understanding of the biodegradation process than those in Senegal, though potential users in both countries expressed concerns about possible side effects associated with the process. In Senegal, mention of cholesterol in a BDI caused concern, while Kenyan participants responded positively to the same BDI being composed of organic materials. The second BDI product was viewed as more similar to existing implants, which providers preferred. Participants suggested increasing the pregnancy protection duration beyond 18 months. No clear preference between products emerged, and participants liked and disliked some characteristics of both. CONCLUSIONS: Kenyan and Senegalese participants expressed interest in the BDI concept but expressed some reservations related to biodegradation, material, and side effects. BDIs offer the opportunity to expand contraceptive choice. However, messaging around product characteristics will be required for successful introduction and uptake.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.051
GPT teacher head0.457
Teacher spread0.407 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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