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Record W4388376774 · doi:10.2196/46284

Feasibility and Acceptability of a Mobile Technology Intervention to Support Postabortion Care After Surgical Abortion (the FACTS Study Phase 3): Mixed Methods Prospective Pilot Study

2023· article· en· W4388376774 on OpenAlexaffvenueabout
Roopan Gill, Gina Ogilvie, Wendy V. Norman, Brian Fitzsimmons, Ciana Maher, Regina Renner

Bibliographic record

VenueJMIR Formative Research · 2023
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsUniversity of TorontoWomen's Health Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsPreprintAbortionIntervention (counseling)Phase (matter)PsychologyMedicineNursingComputer scienceWorld Wide WebPregnancyBiologyPhysics

Abstract

fetched live from OpenAlex

BACKGROUND: In Canada, 1 in 3 women and people of gestational age undergo an abortion in their lifetime. Despite the liberal legal context, barriers continue to exist for women and people who can become pregnant to access this service. OBJECTIVE: This study aims to (1) conduct a pilot study to demonstrate the feasibility and acceptability of myPostCare to support follow-up care after a procedural abortion; (2) use the findings to understand whether myPostCare has the potential to improve contraceptive behavior and knowledge, emotional well-being, and sexual health knowledge; and (3) develop a better understanding of how innovative mobile solutions can support integrative health programs in British Columbia with the goal of expanding to other sites across Canada. METHODS: People of gestational age (aged 14-45 y) who underwent a procedural abortion were recruited from 2 urban abortion facilities in British Columbia. The participants completed a baseline quantitative survey and were provided access to myPostCare for up to 30 days. A follow-up quantitative survey was sent via email on day 30. Qualitative interviews were conducted to explore user satisfaction and usability of myPostCare. Responses to the survey questions were summarized using descriptive statistics, and the system usability scale (SUS) was scored according to the instructions. A secure analytics platform was implemented to obtain data on the overall use of the website by users. Qualitative analysis was conducted with NVivo using a thematic analysis approach. This study was approved by the Women's and Children's Research Ethics Board. RESULTS: Overall, 62 participants were recruited (average age 30 y); 40% (25/62) of the participants completed the exit surveys, and 24% (6/25) consented to participate in the semistructured interviews; 40 participants had undergone an immediate postabortion intrauterine device (IUD) insertion, and 22 did not have an IUD inserted. Participants were satisfied with myPostCare. The SUS average score was 81.5 (SD 9.7; median 82.5, IQR 77.5-87.5), indicating high usability of the tool. Overall, 88% (22/25) of the participants changed their contraceptive method to an IUD. Web-based analytics demonstrated that there were 61 unique visitors to the site, and the top pages visited were Postprocedure Care, Emotional Well-Being, and Contraception Explorer. The longest time spent on the website was 56 minutes. The overall email open rate was 80%, with a click rate of 36%. CONCLUSIONS: This study demonstrates that communities and individuals are important collaborators in developing a mobile innovation that facilitates access to high-quality patient-centered abortion care. Through the cocreation process, a digital platform such as myPostCare highlighted a gap in abortion care in Canada, particularly around follow-up support after a procedural abortion.

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)0.008
metaresearch head score (Gemma)0.001
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 score0.310
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.101
GPT teacher head0.552
Teacher spread0.451 · 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

Citations8
Published2023
Admission routes3
Has abstractyes

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