ArticleSleep & breathing = Schlaf & Atmung2016
Development of a patient decision aid prototype for adults with obstructive sleep apnea.
Article in Sleep & breathing = Schlaf & Atmung, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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.
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Who cites it
9 citing papers in PubMed.
- A Series of Personalized Melatonin Supplement Interventions for Poor Sleep: Feasibility Randomized Crossover Trial for Personalized N-of-1 Treatment.JMIR formative research · 2025Trial
- Efficacy of a patient decision aid for improving person-centered decision-making by older adults with obstructive sleep apnea.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021Trial
- User-Centered Development of a Patient Decision Aid for Choice of Early Abortion Method: Multi-Cycle Mixed Methods Study.Journal of medical Internet research · 2024Article
- Systematic Development of Patient Decision Aids: An Update from the IPDAS Collaboration.Medical decision making : an international journal of the Society for Medical Decision Making · 2021Article
- Personalized and Patient-Centered Strategies to Improve Positive Airway Pressure Adherence in Patients with Obstructive Sleep Apnea.Patient preference and adherence · 2021Review
- Patient-centered care in obstructive sleep apnea: A vision for the future.Sleep medicine reviews · 2018Review
- Diagnosis and treatment of obstructive sleep apnea in adults.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2017Review
- Decision aid prototype development for parents considering adenotonsillectomy for their children with sleep disordered breathing.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale · 2016Article
- Simulated intention-to-treat analysis based on clinical parameters of patients at high risk for sleep apnea derivated to respiratory polygraphy.Sleep science (Sao Paulo, Brazil)Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
objectivesTo describe the development and assess the usability of a patient decision aid (PtDA) prototype designed for newly diagnosed, treatment-naïve, obstructive sleep apnea (OSA) patients.
methodsA web-based PtDA was developed which focuses on two first-line treatment options: continuous positive airway pressure (CPAP) and mandibular advancement splints (MAS). Development was guided by the International Patient Decision Aid Standards (IPDAS). Usability was assessed in individuals at high risk for OSA based on the STOP-Bang questionnaire, the patient acceptance of decision aid, the System Usability Scale (SUS), and content analysis of open-ended user feedback.
resultsEighty eligible participants completed the survey. The mean age was 54 years (SD = 8.9), 60 % of the sample was male, 78 % were university-educated, and 64 % were employed full-time. Participants took an average of 13.7 min (SD = 9.6) to complete the PtDA, with 39 participants choosing CPAP, 25 choosing MAS, and 16 choosing no treatment. The mean SUS score was 78.22 (SD = 15.13). The majority of individuals thought the PtDA was useful in making a decision (n = 77, 96 %) and would recommend it to others (n = 77, 96 %), while a third (n = 26, 33 %) thought it was slanted towards CPAP.
conclusionsThe SUS indicated that the PtDA was acceptable and useful for participants. And useful for participants. User feedback has been used to improve the prototype, which will now undergo further testing in patients at the Vancouver Sleep Disorders Clinic.
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26449553What 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.