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Record W2949870404 · doi:10.1371/journal.pone.0218654

Delivering community-led integrated HIV and sexual and reproductive health services for sex workers: A mixed methods evaluation of the DIFFER study in Mysore, South India

2019· article· en· W2949870404 on OpenAlexaff
Sushena Reza‐Paul, Lisa Lazarus, Raviprakash Maiya, K. T. Venukumar, Bhagya Lakshmi, Anuradha Roy, Partha Haldar, Michele Andina, Yves Lafort, Robert Lorway

Bibliographic record

VenuePLoS ONE · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of Manitoba
FundersEuropean Commission
KeywordsReproductive healthPsychological interventionMedicinePopulationFocus groupSex workFamily medicineSex workersDemographyCondomDeveloping countryEnvironmental healthHuman immunodeficiency virus (HIV)Nursing

Abstract

fetched live from OpenAlex

INTRODUCTION: Women in developing countries continue to face barriers to accessing sexual and reproductive health (SRH) services, with marginalized women facing increased challenges to accessing care. The Diagonal Interventions to Fast-Forward Enhanced Reproductive Health (DIFFER) project implemented a package of interventions for female sex workers and women from the general population which integrated horizontal health services for the general population with existing vertical targeted interventions aimed at sex workers with an aim to improve SRH and HIV services. We present an outcome evaluation of the DIFFER project in terms of uptake rates for SRH services among sex workers in Mysore, India. METHODS: Ashodaya Samithi, a sex worker-led organization, implemented the DIFFER strategy through their community-based clinic and a Well Women Clinic (WWC), established at a partner private hospital that provided SRH services for women living with HIV. Mixed methods were used to evaluate the intervention that included a baseline (2012-13) and end of project (2015-16) cross sectional surveys (CSS), focus group discussions (FGDs), key informant interviews, and analysis of service statistics from 2013-2016. RESULTS: The CSS found that condom use, STI testing, and treatment were high before, and throughout the intervention; cervical cancer screening and treatment increased significantly, from 11.5% to 56% (aOR 9.85, p<0.001) and HIV testing in the last 3 months increased from 26.3% to 73.3% (aOR 7.25, p<0.001). The proportion of sex workers using any SRH service in the past year doubled from 25.7% to 51.4% (aOR 2.91, p<0.001). Service statistics showed similar trends. The FGDs and key informant interviews showed that women and stakeholders held high levels of satisfaction with the strategy, and affirmed potential for scale up. CONCLUSION: The DIFFER strategy demonstrated that SRH service uptake can occur in conjuction with HIV services offered to sex workers. This model of integrated service delivery has been accepted by policy makers and needs further analysis for scaling up.

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)0.016
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0030.003
Research integrity0.0010.002
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 head0.086
GPT teacher head0.377
Teacher spread0.290 · 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 designQualitative
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

Citations15
Published2019
Admission routes1
Has abstractyes

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