Effect of a Patient-Centered Decision Support Tool on Rates of Trial of Labor After Previous Cesarean Delivery: The PROCEED Randomized Clinical Trial

2020 ◽  
Vol 75 (11) ◽  
pp. 651-653
Author(s):  
Miriam Kuppermann ◽  
Anjali J. Kaimal ◽  
Cinthia Blat ◽  
Juan Gonzalez ◽  
Mari-Paule Thiet ◽  
...  
JAMA ◽  
2020 ◽  
Vol 323 (21) ◽  
pp. 2151
Author(s):  
Miriam Kuppermann ◽  
Anjali J. Kaimal ◽  
Cinthia Blat ◽  
Juan Gonzalez ◽  
Mari-Paule Thiet ◽  
...  

Contraception ◽  
2017 ◽  
Vol 96 (4) ◽  
pp. 289-290
Author(s):  
R Reed ◽  
K Kimport ◽  
J Fitzpatrick ◽  
E Fox ◽  
CE Dehlendorf

2020 ◽  
Author(s):  
Janet Panoch ◽  
Lisa Yazel ◽  
Courtney Moore ◽  
Sarah Wiehe ◽  
Tamara Hannon

BACKGROUND Adolescents with type 1 diabetes differ from their parents and physicians about what they need from healthcare. Therefore, it is important to implement patient-centered diabetes care for adolescents. OBJECTIVE This study used human-centered design to reveal diabetes self-management challenges faced by youth with type 1 diabetes and their parents. This was a pre-study design phase of a larger study to develop a patient-centered automated decision support tool for diabetes clinic. METHODS Data were collected from youth and parents in two settings 1) a diabetes summer camp to capture challenges faced by youth and parents, 2) youth and parents participating in human-centered design sessions to further explore challenges. RESULTS Fifty-six people completed the camp worksheet, identifying 15 unique themes. The sessions further verified three problematic themes each for youth and parents. Youth generated 23 questions and parents identified 33 questions for potential use for the decision support tool development. CONCLUSIONS Including patient and parent self-management needs is vital. Providers should understand the psychosocial factors associated with barriers to self-management. The incorporation of patient and parent questions, ideas, and subsequent patient-provider communication in the support tool may improve trust in the provider and youth self-efficacy as they navigate the transition to independent adult care. CLINICALTRIAL Trial Registration: ClinicalTrials.gov NCT03084900


10.2196/10525 ◽  
2018 ◽  
Vol 7 (6) ◽  
pp. e10525 ◽  
Author(s):  
Robert D Furberg ◽  
Alexa M Ortiz ◽  
Rebecca R Moultrie ◽  
Melissa Raspa ◽  
Anne C Wheeler ◽  
...  

2018 ◽  
Author(s):  
Robert D Furberg ◽  
Alexa M Ortiz ◽  
Rebecca R Moultrie ◽  
Melissa Raspa ◽  
Anne C Wheeler ◽  
...  

BACKGROUND Challenges in the clinical and research consent process indicate the need to develop tailored, supportive interventions for all individuals, especially those with limited decisional capacity. We developed a tool to enhance shared decision making and the decisional capacity for individuals with fragile X syndrome engaged in the informed consent process for a clinical trial. OBJECTIVE We describe the design and development process of a tablet-based decision support tool. METHODS Our development process for the decision support tool employed a user-centered, feature-driven design approach. We began with an environmental scan to catalog relevant mobile apps, and we conducted interviews with people with a diagnosis of fragile X syndrome and clinicians at fragile X syndrome clinics. To develop content for the decision support tool, we extracted key concepts and elements from a real clinical trial consent form and rewrote it using plain-language principles. RESULTS We used iterative testing to continuously evaluate and revise the decision support tool content. The tool was finalized in 2016 and contained a series of vignettes, quiz questions, and a sorting activity. A randomized controlled trial was then conducted to compare the efficacy of the decision support tool with a standard verbal presentation of material that mimicked typical informed consent practice. CONCLUSIONS The informed consent process is primed to leverage digital health resources that promote increased understanding and engagement of research participants in the consent and research process. The process and experiences we describe may provide a model for other digital health design and development initiatives seeking to create more interactive and accessible decision support resources. CLINICALTRIAL ClinicalTrials.gov NCT02465931; https://www.clinicaltrials.gov/ct2/show/NCT02465931 (Archived by WebCite at http://www.webcitation.org/6zx2KY9YW)


Author(s):  
Lisa S. Callegari ◽  
Karin M. Nelson ◽  
David E. Arterburn ◽  
Christine Dehlendorf ◽  
Sara L. Magnusson ◽  
...  

2019 ◽  
Vol 74 (10) ◽  
pp. 599-600 ◽  
Author(s):  
Christine Dehlendorf ◽  
Judith Fitzpatrick ◽  
Edith Fox ◽  
Kelsey Holt ◽  
Eric Vittinghoff ◽  
...  

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