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Record W4390617674 · doi:10.1080/07399332.2023.2294815

Interventions in maternal syphilis care globally: A scoping review

2024· review· en· W4390617674 on OpenAlexaff
Georgia Dewart, Jessica Müller, J. Craig Phillips, Danielle Banaszak, Vera Caine

Bibliographic record

VenueHealth Care For Women International · 2024
Typereview
Languageen
FieldMedicine
TopicSyphilis Diagnosis and Treatment
Canadian institutionsUniversity of VictoriaUniversity of OttawaAthabasca University
Fundersnot available
KeywordsPsychological interventionSyphilisInterpersonal communicationMedicineCongenital syphilisPsychologyFamily medicineNursingHuman immunodeficiency virus (HIV)Social psychology

Abstract

fetched live from OpenAlex

Infectious and Congenital Syphilis rates continue to rise globally. Current recommendations for syphilis screening and treatment may be insufficient, and there is a pressing need for improved programs and services to address the increase in cases. A scoping review was conducted to examine approaches to maternal syphilis screening and treatment. Theoretical underpinnings and the key characteristics of these interventions were studied to identify gaps in the existing literature to guide future research. Developing a modified version of the socio-ecological model to guide data analysis, we included 33 academic studies spanning 31 years, covering a range of interventions, programs, and policies globally. We highlight key facets of interventions aligning with the five levels of the modified model that include: individual, interpersonal, institutional, community and policy. In this review, we provide valuable insights into the characteristics and principles of maternal syphilis screening and treatment interventions.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.480
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.100
GPT teacher head0.504
Teacher spread0.404 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations1
Published2024
Admission routes1
Has abstractyes

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