MétaCan
Menu
Back to cohort
Record W3153074249 · doi:10.1186/s12961-020-00659-w

Sexual and reproductive health self-care interventions in the Eastern Mediterranean Region: findings from a cross-sectional values and preferences survey to inform WHO normative guidance on self-care interventions

2021· article· en· W3153074249 on OpenAlexafffund
Carmen H. Logie, Heather Abela, Tarek Turk, Samantha Parker, Karima Gholbzouri

Bibliographic record

VenueHealth Research Policy and Systems · 2021
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of AlbertaWomen's College HospitalUniversity of Toronto
FundersOntario Ministry of Research and InnovationCanada Research ChairsWorld Health Organization
KeywordsPsychological interventionThematic analysisHealth careReproductive healthMedicineNursingFamily medicineEnvironmental healthQualitative researchPopulation

Abstract

fetched live from OpenAlex

BACKGROUND: Self-care strategies for sexual and reproductive health (SRH) include practices, tools, and strategies for people to manage their health. Access to SRH services has increased in the Eastern Mediterranean Region (EMR) in the past decade. The objective of this manuscript is to provide a preliminary assessment of self-care SRH interventions focusing on access, knowledge, perceived challenges, and recommendations for the future. We aim to contribute to the evidence base on knowledge and uptake of self-care SRH strategies in the EMR. METHODS: We conducted an online cross-sectional Global Values and Preferences Survey (GVPS) to inform WHO guideline development on self-care interventions for SRH. Recruitment was web-based and included hosting the survey on the WHO Department of Reproductive Health and Research website, and sharing the survey link to diverse SRH websites. Analyses included the subsample of respondents living in EMR countries. We first conducted descriptive statistics of sociodemographic and self-care intervention responses. We then conducted bivariate analyses to examine statistically significant differences in knowledge for each intervention between EMR and non-EMR regions. We extracted open-text responses and applied thematic analysis techniques. RESULTS: There were 53 respondents from the EMR spanning 14 countries, including16 health care providers (HCP) and 37 laypersons. Qualitative responses (n = 16) suggest that (a) perceived benefits of self-care SRH strategies include enhanced SRH access, knowledge, and improved SRH outcomes; (b) perceived concerns include misuse and safety; (c) linkage to care following self-care SRH interventions can consider mobile phone apps, hotlines, health care liaisons, and community outreach; (d) HCP want additional training on strengthening therapeutic alliances with patients and practical information on interventions; and (e) future research can focus on reproductive health, condom use, service barriers, and implementation. EMR respondents reported lower knowledge levels than non-EMR respondents on the following strategies: diaphragm/cervical cap, contraceptive patch, web-based SRH information, post-exposure prophylaxis, re-exposure prophylaxis, and HIV treatment. CONCLUSIONS: Knowledge of self-care SRH strategies varies by intervention type in the EMR. Future research with larger and more representative samples can inform regional self-care SRH implementation. Knowledge dissemination, stigma reduction, accessibility, and training of health care professionals are key domains for advancing access to self-care SRH strategies in the EMR.

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)0.007
metaresearch head score (Gemma)0.009
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 score0.011
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.388
GPT teacher head0.524
Teacher spread0.136 · 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

Citations7
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueHealth Research Policy and SystemsSame topicGlobal Maternal and Child HealthFrench-language works237,207