Evidence map›Paper›PMID 35496358›Full record

ArticleSocial sciences (Basel, Switzerland)2022

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

Heather J Nuske, Jacqueline Buck, Brinda Ramesh, Emily M Becker-Haimes, Kelly Zentgraf, David S Mandell

Registry-linked trialAbstract read
In one paragraph

Article in Social sciences (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07042347 (RCT of a Measurement Feedback App to Improve Data Quality, Supervision & Outcomes in Behavioral Health), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

NCT07042347 narecruitingnot on this mapstarted 2026, after this paper: background citation

RCT of a Measurement Feedback App to Improve Data Quality, Supervision & Outcomes in Behavioral Health

TypeinterventionalSponsorUniversity of PennsylvaniaRan2026 to 2028Enrolled200ConditionsAutism, Challenging Behavior, ADHD, Oppositional Defiant DisorderArmsBehavioral economics strategies, Electronic platform
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Heather J NuskePenn Center for Mental Health, University of Pennsylvania, PA, USA.
Jacqueline BuckSandra Rosenbaum School of Social Work, University of Wisconsin - Madison, WI, USA.
Brinda RameshPenn Center for Mental Health, University of Pennsylvania, PA, USA.
Emily M Becker-HaimesPenn Center for Mental Health, University of Pennsylvania, PA, USA.
Kelly ZentgrafPenn Center for Mental Health, University of Pennsylvania, PA, USA.
David S MandellPenn Center for Mental Health, University of Pennsylvania, PA, USA.

Funding

Transforming mental health delivery through behavioral economics and implementation scienceP50MH113840 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MANDELL, DAVID S · 2017 to 2020
$6.6M
Reducing Challenging Behaviors In Children With Autism Through Digital HealthK01MH120509 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI NUSKE, HEATHER J · 2020 to 2024
$773k
NIMH NIH HHS K01 MH120509NIMH NIH HHS P50 MH113840
6 · The paper itself

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.

Indexed as

Autism spectrum disorderBehavioral data collectionBehavioral economicsDigital mental healthm-Heath applicationsParticipatory designUser-centered design

Identifiers

PMID35496358
PMCPMC9053102

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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.