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Record W4311549127 · doi:10.1136/bmjopen-2022-065583

Increasing the availability of long-acting reversible contraception and medical abortion in primary care: the Australian Contraception and Abortion Primary Care Practitioner Support Network (AusCAPPS) cohort study protocol

2022· article· en· W4311549127 on OpenAlexaff
Danielle Mazza, Sharon James, Kirsten Black, Angela Taft, Deborah Bateson, Kevin McGeechan, Wendy V. Norman

Bibliographic record

VenueBMJ Open · 2022
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsUniversity of British Columbia
FundersNational Health and Medical Research CouncilRoyal Australian and New Zealand College of Obstetricians and GynaecologistsDepartment of Health and Aged Care, Australian GovernmentRoyal Australian College of General PractitionersOrganon BioSciencesAustralian Commission on Safety and Quality in Health Care
KeywordsMedicineFamily medicineNursingLong-acting reversible contraceptionCertificationStakeholderMedical prescriptionFamily planningMedical educationPopulation

Abstract

fetched live from OpenAlex

INTRODUCTION: Although primary care practitioners are the main providers of long-acting reversible contraception (LARC) and early medical abortion (EMA) in Australia, few provide these services. A professional community of practice (CoP) has the potential to improve LARC and EMA provision through evidence-based guidance, expert support and peer-to-peer engagement.The primary objective is to establish, implement and evaluate an innovative, multidisciplinary online CoP (AusCAPPS Network) to increase LARC and EMA services in Australian primary care. Secondary objectives are to (1) increase the number of general practitioners (GPs) and pharmacists certified to provide or dispense EMA, respectively, (2) increase LARC and EMA prescription rates and, (3) improve primary care practitioners' knowledge, attitudes and provision of LARC and EMA. METHODS AND ANALYSIS: A stakeholder knowledge exchange workshop (KEW) will be conducted to inform the AusCAPPS Network design. Once live, we aim to reach 3000 GPs, practice nurses and community pharmacists members. Changes in the number of GPs and pharmacists certified to provide or dispense EMA, respectively, and changes in the number of LARCs and EMAs prescribed will be gleaned through health service data. Changes in the knowledge attitudes and practices will be gleaned through an online survey with 500 individuals from each professional group at baseline and 12 months after members have joined AusCAPPs; and experiences of the AusCAPPS Network will be evaluated using interviews with the project team plus a convenience sample of 20 intervention participants from each professional group. The project is underpinned by the Reach, Effectiveness, Adoption, Implementation and Maintenance framework, and a realist framework will inform analysis. ETHICS AND DISSEMINATION: Ethical approval was received from the Monash University Human Research Ethics Committee (No. 28002). Dissemination will occur through KEWs, presentations, publications and domestic and international networks. TRIAL REGISTRATION NUMBER: ACTRN12622000655741.

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)0.009
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 score0.116
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.389
Teacher spread0.351 · 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.

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

Citations13
Published2022
Admission routes1
Has abstractyes

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