ArticleApplied clinical informatics2023
Evaluation of an Online Decision Aid for Selection of Contraceptive Methods.
Article in Applied clinical informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Online decision aids for contraceptive choices in women with chronic conditions: A systematic review.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Review
- Article
- Sensitivity Analyses of a Scoring System for a Contraception Decision Aid.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesKnowledge gaps in contraceptives led to their low adoption rates and misuse in young women. The existing online contraception decision aids missed certain decision factors deemed important to college-aged women and did not consistently provide clear and accurate recommendations. To address the needs of young women and the limitations in current tools, we developed a prototype contraception decision aid, My Contraceptive Choice (MCC). This article reports an evaluation study of the MCC tool.
methodsWe conducted a mixed methods study: (1) to assess MCC's usefulness and usability through an online survey and a follow-up focus group, and (2) to provide a quantitative examination on the recommendations generated by MCC to match with individual user's needs and preferences through simulated test cases.
resultsThe survey of 150 college-aged women showed very positive responses (reflecting personal preferences, 75%; helping people learn more about birth control methods, 88%; easy to navigate, 91%). The follow-up focus group of 10 survey participants reconfirmed most findings from the survey and provided detailed feedback on certain system functions, such as the inclusion of an important decision factor of weight gain and the efficient hybrid design to integrate the customized recommendations with the side-by-side comparison of all contraceptive methods. Simulated test cases showed that the MCC tool achieved an accuracy of 72% in addressing user preferences and an accuracy of 72% in satisfying user needs, which were significantly better than the existing Planned Parenthood tool.
conclusionThe initial evaluations suggest that the MCC tool has achieved good levels of usefulness, usability, and appropriate recommendations to address user needs and preferences. Future research is required to assess the performance of the MCC tool in naturalistic settings and to examine the generalizability of the findings to other user populations.
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Registered trials
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