Leveraging Feedback From Autistic Adults to Develop an App to Access Healthcare Services

This publication is included in the Autistic Autism Scholarship Project. The publication reports one autistic author, without identifying them by name.

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Best, M., Lindsay, R., Demissie, S., Burakov, I., Ramos-Torres, S., & Burke, M. M. (2025). Leveraging Feedback From Autistic Adults to Develop an App to Access Healthcare Services. Journal of Developmental and Physical Disabilities, 38(1), 143-164. https://doi.org/10.1007/s10882-025-10017-9

Publication date: 23 Apr 2025 Added to AutiHub: 14 Oct 2026 Type: Article Article language: English
Publisher source (DOI) Full text OpenAlex source

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Authors

Publication authors
6
Autistic authors reported by the publication
1
  1. Megan Best
  2. RaeAnne Lindsay
  3. Sarah Demissie
  1. Isabelle Burakov
  2. Saury Ramos-Torres
  3. Meghan M. Burke

Abstract

Abstract Autistic individuals are more likely to have co-occurring healthcare conditions and experience a cascade of health disparities compared to those that are not autistic. While ample research continues to be conducted to decrease these disparities, it is often done without the input from autistic individuals. In this qualitative study, we interviewed 15 autistic participants to explore how a healthcare services app could be adapted for autistic adults. Overall, participants agreed that a healthcare services app specific to autistic adults could be beneficial. In addition, participants provided feedback on healthcare services, filter options, and software features to include in the app. Participants reported what they found to be most valuable within a healthcare services app prototype designed for autistic adults, such as having all healthcare information in one place, receiving support when seeking accommodations from healthcare providers, and accessing resources. Implications for research and practice are discussed.

Bibliography cited by this reference

Cited references are imported from external metadata sources when they are available. The list may be partial.

Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 17 Oct 2026 01:28.

Cited references
53
With a DOI
44
Without a DOI, from raw bibliography text
7
10 / 53 (18.9%) cited references include at least one author identified as autistic.
References with data to complete
6 / 53 (11.3%)
References with detected author names
50 / 53 (94.3%)
Without detected author names
3
Without a structured title
6
Without a stable identifier
6
References with raw author names still to review
3
References with external metadata lookup issues
0
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
266
From DOI or external metadata
266
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
6
127 / 266 (47.7%) names are linked to an author already present in AutiHub. 139 / 266 (52.3%) names are not yet linked.
Names linked to a person identified as autistic
69 / 266 (25.9%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 69 / 127 (54.3%). Distinct people identified as autistic: 61 / 237 (25.7%).
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