ArticleFamily medicine2013
The family medicine residency training initiative in miscarriage management: impact on practice in Washington State.
Article in Family medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 11 citations in OpenAlex.
- A Scoping Review of Obstetrics and Gynecology Curricula in Primary Care Residency Programs.Journal of general internal medicine · 2025Article
- Prioritizing Desiredness in Pregnancy of Unknown Location: An Algorithm for Patient-Centered Care.Obstetrics and gynecology · 2020Article
- "We have to what?": lessons learned about engaging support staff in an interprofessional intervention to implement MVA for management of spontaneous abortion.Contraception · 2013Article
- "One of those areas that people avoid" a qualitative study of implementation in miscarriage management.BMC health services research · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
BACKGROUND AND
objectivesNon-complicated spontaneous abortion cases should be counseled about the full range of management approaches, including uterine evacuation using manual vacuum aspiration (MVA). The Residency Training Initiative in Miscarriage Management (RTI-MM) is an intensive, multidimensional intervention designed to facilitate implementation of office-based management of spontaneous abortion using MVA in family medicine residency settings. The purpose of this study was to test the impact of the RTI-MM on self-reported use of MVA for management of spontaneous abortion.
methodsWe used a pretest/posttest one group study design and a web-based, anonymous survey to collect data on knowledge, attitudes, perceived barriers, and practice of office-based management of spontaneous abortion. We used multivariable models to estimate incident relative risks and accounted for data clustering at the residency site level.
resultsOur sample included 441 residents and faculty from 10 family medicine residency sites. Our findings show a positive association between the RTI-MM and self-reported use of MVA for management of spontaneous abortion (adjusted RR=9.11 [CI=4.20--19.78]) and were robust to model specification. Male gender, doing any type of management of spontaneous abortion (eg, expectant, medication), other on-site reproductive health training interventions, and support staff knowledge scores were also significant correlates of physician practice of MVA.
conclusionsOur findings suggest that the RTI-MM was successful in influencing the practice of management of spontaneous abortion using MVA in this population and that support staff knowledge may impact physician practice. Integrating MVA into family medicine settings would potentially improve access to evidence-based, comprehensive care for women.
Indexed as
Identifiers
23378077PMC3774008W2108025173What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.