Published analysis of contraceptive effectiveness of Daysy and DaysyView app is fatally flawed
Open accessAbstract
BACKGROUND: In March 2018, Dr. Martin C. Koch and colleagues published an analysis purporting to measure the effectiveness of the Daysy device and DaysyView app for the prevention of unintended pregnancy. Unfortunately, the analysis was flawed in multiple ways which render the estimates unreliable. Unreliable estimates of contraceptive effectiveness can endanger public health. MAIN BODY: This commentary details multiple concerns pertaining to the collection and analysis of data in Koch et al. 2018. A key concern pertains to the inappropriate exclusion of all women with fewer than 13 cycles of use from the Pearl Index calculations, which has no basis in standard effectiveness calculations. Multiple additional methodological concerns, as well as prior attempts to directly convey concerns to the manufacturer regarding marketing materials based on prior inaccurate analyses, are also discussed. CONCLUSION: The Koch et al. 2018 publication produced unreliable estimates of contraceptive effectiveness for the Daysy device and DaysyView app, which are likely substantially higher than the actual contraceptive effectiveness of the device and app. Those estimates are being used in marketing materials which may inappropriately inflate consumer confidence and leave consumers more vulnerable than expected to the risk of unintended pregnancy. Prior attempts to directly convey concerns to the manufacturer of this device were unsuccessful in preventing publication of subsequent inaccurate analyses. To protect public health, concerns with this analysis should be documented in the published literature, the Koch et al. 2018 analysis should be retracted, and marketing materials on contraceptive effectiveness should be subjected to appropriate oversight.
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Retrospective analyses of patient reported outcomes may suffer from data manipulation that may favor reporting of positive outcomes that support commercial objectives over negative findings, leading to significant bias.
“Retrospective analyses of patient reported outcomes may also suffer from data manipulation that may favor reporting of positive outcomes that support commercial objectives over negative findings. This can lead to significant bias.”
From What is the clinical value of mHealth for patients? (2020) · cites this paper as [36]
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Koch, M. C., Lermann, J. H., van de Roemer, N., Renner, S. K., Burghaus, S., Hackl, J., Dittrich, R., Kehl, S., Oppelt, P. G., Hildebrandt, T., et al. (2018) · Reproductive Health · doi:10.1186/s12978-018-0479-6 · Cited by 20 · see citing works
RetractedJones, R. K., & Kost, K. (2007) · Studies in Family Planning · doi:10.1111/j.1728-4465.2007.00130.x · Cited by 272 · see citing works
The Intendedness of Pregnancy: A Concept in Transition
Klerman, L. V. (2000) · Maternal and Child Health Journal · doi:10.1023/a:1009534612388 · Cited by 187 · see citing works
Relying on Surveys to Understand Abortion Behavior: Some Cautionary Evidence
Jagannathan, R. (2001) · American Journal of Public Health · doi:10.2105/ajph.91.11.1825 · Cited by 118 · see citing works
Effectiveness of Fertility Awareness–Based Methods for Pregnancy Prevention: A Systematic Review
Peragallo Urrutia, R., Polis, C. B., Jensen, E. T., Greene, M. E., Kennedy, E., & Stanford, J. B. (2018) · Obstetrics & Gynecology · doi:10.1097/aog.0000000000002784 · Cited by 101 · see citing works
Self-citationTrussell, J., & Portman, D. J. (2013) · Contraception · doi:10.1016/j.contraception.2013.04.001 · Cited by 76 · see citing works
Methodological pitfalls in the analysis of contraceptive failure
Trussell, J. (1991) · Statistics in Medicine · doi:10.1002/sim.4780100206 · Cited by 70 · see citing works
Marcus, A., & Oransky, I. (2011) · Nature · doi:10.1038/480449a · Cited by 30 · see citing works
Freundl, G., Frank‐Herrmann, P., Godehardt, E., Klemm, R., & Bachhofer, M. (1998) · Advances in Contraception · doi:10.1023/a:1006534632583 · Cited by 28 · see citing works
Failure rates among perfect users and during perfect use: a distinction that matters
Dominik, R., Trussell, J., & Walsh, T. L. (1999) · Contraception · doi:10.1016/s0010-7824(99)00108-0 · Cited by 10 · see citing works
Demiańczyk, A., & Michaluk, K. (2016) · Ginekologia Polska · doi:10.5603/gp.2016.0090 · Cited by 8 · see citing works
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What is the clinical value of mHealth for patients?
Rowland, S. P., Fitzgerald, J. E., Holme, T., Powell, J., & McGregor, A. (2020) · npj Digital Medicine · doi:10.1038/s41746-019-0206-x · Cited by 454 · see citing works
Effectiveness of Fertility Awareness–Based Methods for Pregnancy Prevention: A Systematic Review
Peragallo Urrutia, R., Polis, C. B., Jensen, E. T., Greene, M. E., Kennedy, E., & Stanford, J. B. (2018) · Obstetrics & Gynecology · doi:10.1097/aog.0000000000002784 · Cited by 101 · see citing works
Self-citation
- Authors
- Polis, C. B.
- Affiliations
- Guttmacher Institute (US)
- Corresponding author
- Polis, Chelsea B.
- ORCID
- Polis, Chelsea B.
- Venue
- Reproductive Health
- Published
- 2018-06-25
- Volume
- 15
- Issue
- 1
- Pages
- 113-113
- ISSN
- 1742-4755 (ISSN-L)
- PMC
- PMC6020217
- OpenAlex
- W2808905849
- Cited by
- 32
- References
- 11
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 5 · 2023: 1 · 2022: 2 · 2021: 4 · 2020: 5 · 2019: 4 · 2018: 5
- FWCI
- 4.28
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Reproductive Health (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Reproductive Health and Contraception
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Reproductive Medicine › Reproductive Health and Technologies
- Keywords
- contraceptive effectiveness, Pearl index, menstrual cycle tracking, unintended pregnancy prevention, methodological errors, retraction, contraceptive marketing
- MeSH terms
- Smartphone, Contraceptive Effectiveness, Female, Humans, Ovulation Detection, Pregnancy, Pregnancy, Unplanned, Mobile Applications
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