Literature DB >> 35496358

Making Progress Monitoring Easier and More Motivating: Developing a Client Data Collection App Incorporating User-Centered Design and Behavioral Economics Insights.

Heather J Nuske1, Jacqueline Buck2, Brinda Ramesh1, Emily M Becker-Haimes1,3, Kelly Zentgraf1, David S Mandell1.   

Abstract

Data collection is an important component of evidence-based behavioral interventions for children with autism, but many one-to-one aides (i.e., behavioral support staff) do not systemically collect quantitative data that are necessary for best-practice client progress monitoring. Data collection of clients' behaviors often involves labor-intensive pen-and-paper practices. In addition, the solitary nature of one-to-one work limits opportunities for timely supervisor feedback, potentially reducing motivation to collect data. We incorporated principles from behavioral economics and user-centered design to develop a phone-based application, Footsteps, to address these challenges. We interviewed nine one-to-one aides working with children with autism and seven supervisors to ask for their app development ideas. We then developed the Footsteps app prototype and tested the prototype with 10 one-to-one aides and supervisors through three testing cycles. At each cycle, one-to-one aides rated app usability. Participants provided 76 discrete suggestions for improvement, including 29 new app features (e.g., behavior timer), 20 feature modifications (e.g., numeric type-in option for behavior frequency), four flow modifications (e.g., deleting a redundant form), and 23 out-of-scope suggestions. Of the participants that tested the app, 90% rated usability as good or excellent. Results support continuing to develop Footsteps and testing its impact in a clinical trial.

Entities:  

Keywords:  Autism spectrum disorder; Behavioral data collection; Behavioral economics; Digital mental health; Participatory design; User-centered design; m-Heath applications

Year:  2022        PMID: 35496358      PMCID: PMC9053102          DOI: 10.3390/socsci11030106

Source DB:  PubMed          Journal:  Soc Sci (Basel)        ISSN: 2076-0760


  24 in total

1.  Accuracy of smartphone applications and wearable devices for tracking physical activity data.

Authors:  Meredith A Case; Holland A Burwick; Kevin G Volpp; Mitesh S Patel
Journal:  JAMA       Date:  2015-02-10       Impact factor: 56.272

2.  Using Wearable Devices and Smartphones to Track Physical Activity: Initial Activation, Sustained Use, and Step Counts Across Sociodemographic Characteristics in a National Sample.

Authors:  Mitesh S Patel; Luca Foschini; Gregory W Kurtzman; Jingsan Zhu; Wenli Wang; Charles A L Rareshide; Susan M Zbikowski
Journal:  Ann Intern Med       Date:  2017-09-26       Impact factor: 25.391

3.  Smartphones vs Wearable Devices for Remotely Monitoring Physical Activity After Hospital Discharge: A Secondary Analysis of a Randomized Clinical Trial.

Authors:  Mitesh S Patel; Daniel Polsky; Edward H Kennedy; Dylan S Small; Chalanda N Evans; Charles A L Rareshide; Kevin G Volpp
Journal:  JAMA Netw Open       Date:  2020-02-05

4.  The think aloud method: a guide to user interface design.

Authors:  Monique W M Jaspers; Thiemo Steen; Cor van den Bos; Maud Geenen
Journal:  Int J Med Inform       Date:  2004-11       Impact factor: 4.046

Review 5.  Despite technical problems personal digital assistants outperform pen and paper when collecting patient diary data.

Authors:  Oystein Dale; Kaare Birger Hagen
Journal:  J Clin Epidemiol       Date:  2006-08-30       Impact factor: 6.437

6.  Services for children with autism spectrum disorder in three, large urban school districts: Perspectives of parents and educators.

Authors:  Suzannah Iadarola; Susan Hetherington; Christopher Clinton; Michelle Dean; Erica Reisinger; Linh Huynh; Jill Locke; Kelly Conn; Sara Heinert; Sheryl Kataoka; Robin Harwood; Tristram Smith; David S Mandell; Connie Kasari
Journal:  Autism       Date:  2014-09-05

7.  Impact of clinical reminder redesign on learnability, efficiency, usability, and workload for ambulatory clinic nurses.

Authors:  Jason J Saleem; Emily S Patterson; Laura Militello; Shilo Anders; Mercedes Falciglia; Jennifer A Wissman; Emilie M Roth; Steven M Asch
Journal:  J Am Med Inform Assoc       Date:  2007-06-28       Impact factor: 4.497

8.  Evidence-Based Mental Health Programs in Schools: Barriers and Facilitators of Successful Implementation.

Authors:  Audra K Langley; Erum Nadeem; Sheryl H Kataoka; Bradley D Stein; Lisa H Jaycox
Journal:  School Ment Health       Date:  2010-05-11

9.  Transforming Mental Health Delivery Through Behavioral Economics and Implementation Science: Protocol for Three Exploratory Projects.

Authors:  Rinad S Beidas; Kevin G Volpp; Alison N Buttenheim; Steven C Marcus; Mark Olfson; Melanie Pellecchia; Rebecca E Stewart; Nathaniel J Williams; Emily M Becker-Haimes; Molly Candon; Zuleyha Cidav; Jessica Fishman; Adina Lieberman; Kelly Zentgraf; David Mandell
Journal:  JMIR Res Protoc       Date:  2019-02-12

10.  Comparison of two data collection processes in clinical studies: electronic and paper case report forms.

Authors:  Anaïs Le Jeannic; Céline Quelen; Corinne Alberti; Isabelle Durand-Zaleski
Journal:  BMC Med Res Methodol       Date:  2014-01-17       Impact factor: 4.615

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  1 in total

1.  Comparing output from two methods of participatory design for developing implementation strategies: traditional contextual inquiry vs. rapid crowd sourcing.

Authors:  Emily M Becker-Haimes; Brinda Ramesh; Jacqueline E Buck; Heather J Nuske; Kelly A Zentgraf; Rebecca E Stewart; Alison Buttenheim; David S Mandell
Journal:  Implement Sci       Date:  2022-07-19       Impact factor: 7.960

  1 in total

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