Why Women Choose At-Home Abortion via Teleconsultation in France?: A Mixed-Method Study on Drivers of Telemedicine Abortion
Bibliographic record
Abstract
Abstract Objectives In face of the COVID-19 health emergency, France has allowed medical abortions to be performed by teleconsultation until 9 weeks of gestation. In an attempt to understand the demand and main drivers of telemedicine abortion, we analysed the requests that Women on Web (WoW), an online telemedicine abortion service operating worldwide, received from France throughout 2020. Methods We conducted a parallel convergent mixed-method study among 809 consultations received from France at WoW between 1 January and 31 December 2020. We performed a cross-sectional study of data obtained from the WoW consultation survey and a manifest content analysis of anonymised email correspondence of 140 women consulting with WoW helpdesk from France. Results We found that women encounter macro-level, individual-level, and provider-level constraints while trying to access abortion in France. The preferences and needs over secrecy (46.2%), privacy (38.3%), and comfort (34.9%) are among the most frequent reasons for women from France to choose telemedicine abortion through WoW. The COVID-19 pandemic seems to be an important driver for resorting to telemedicine (30.6%). The lockdowns seem to have had an impact on the number of consultations received at WoW from France, increasing from 60 in March to 128 in April during the first lockdown and from 54 in October to 80 in November during the second lockdown. Conclusions The demand for at-home medical abortion via teleconsultation increased in France during the lockdowns. However, drivers of telemedicine abortion are multi-dimensional and go beyond the conditions unique to the pandemic. Given the various constraints women continue to encounter in accessing safe abortion, telemedicine can help meet women’s preferences and needs for secrecy, privacy and comfort, while facilitating improved access to and enabling more person-centred abortion care. Tweetable Abstract At-home abortion via teleconsultation can help meet women’s needs and preferences for privacy, secrecy, and comfort, while facilitating improved access to abortion care in France. Key Messages The lockdowns seem to have had an impact on the number of consultations received at WoW from France, increasing from 60 in March to 128 in April during the first lockdown and from 54 in October to 80 in November during the second lockdown. While the COVID-19 pandemic was an important push factor for women to choose telemedicine, the drivers of telemedicine are multidimensional and go beyond conditions unique to the pandemic. Telemedicine can help meet women’s needs and preferences for privacy, secrecy, and comfort, while facilitating access to and enabling more person-centred abortion care in France. Funding Information This research was funded by a public grant overseen by the French National Research Agency (ANR) as part of the “Investissements d’Avenir” program LIEPP (ANR-11-LABX-0091, ANR-11-IDEX-0005-02) and the Université de Paris IdEx (ANR-18-IDEX-0001). Patient and public involvement statement This public policy analysis does not involve patients or the public in the design, or conduct, or reporting, or dissemination plans of this work. However, the service that WoW provides is designed to address the priorities and experiences of people who access the service. Thus, the research questions were informed by the needs of people who rely on WoW to access abortion. Ethics approval The study was approved by the Regional Ethics Committee, Karolinska Institutet, Dnr 2009/2072-31/2 and Dnr 2020/05406.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".