Community-Based Participatory Research to Adapt Health Measures for Use by People With Developmental Disabilities

This publication is included in the Autistic Autism Scholarship Project. one author of this publication is identified as autistic in the project.

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Nicolaidis, C., Raymaker, D., Katz, M., Oschwald, M., Goe, R., Leotti, S., Grantham, L., Plourde, E., Salomon, J., Hughes, R. B., & Powers, L. E. (2015). Community-Based Participatory Research to Adapt Health Measures for Use by People With Developmental Disabilities. Progress in Community Health Partnerships: Research, Education, and Action, 9(2), 157-170. https://doi.org/10.1353/cpr.2015.0037

Publication date: 1 Jun 2015 Added to AutiHub: 27 Oct 2026 Type: Article Article language: English

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Authors

Publication authors
11
Publication authors identified as autistic
1 / 11 (9.1%)

Abstract

Background: People with developmental disabilities (DD) are often not included as participants in research owing to a variety of ethical and practical challenges. One major challenge is that traditional measurement instruments may not be accessible to people with DD. Participatory research approaches promise to increase the participation of marginalized communities in research, but few partnerships have successfully used such approaches to conduct quantitative studies people with DD. Objective: To use a community-based participatory research (CBPR) approach to create an accessible, computer-assisted survey about violence and health in people with DD, and to psychometrically test adapted health instruments. Methods: Our academic–community partnership, composed of academic researchers, people with DD, and supporters, collaboratively selected and modified data collection instruments, conducted cognitive interviews and pilot tests, and then administered the full survey to 350 people with DD. Results: Although team members sometimes had opposing accommodation needs and adaptation recommendations, academic and community partners were able to work together successfully to adapt instruments to be accessible to participants with a wide range of DD. Results suggest the adapted health instruments had strong content validity and all but one had good to excellent internal consistency reliability (alpha, 0.81–0.94). The majority of participants (75%) responded that all or most of the questions were easy to understand. Conclusions: Researchers should consider using participatory approaches to adapting instruments so people with DD can be validly included in research.

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: 27 Oct 2026 10:38.

Cited references
41
With a DOI
36
Without a DOI, from raw bibliography text
0
4 / 41 (9.8%) cited references include at least one author identified as autistic.
References with data to complete
0 / 41 (0.0%)
References with detected author names
41 / 41 (100.0%)
Without detected author names
0
Without a structured title
0
Without a stable identifier
0
References with raw author names still to review
0
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
174
From DOI or external metadata
174
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
0
33 / 174 (19.0%) names are linked to an author already present in AutiHub. 141 / 174 (81.0%) names are not yet linked.
Names linked to a person identified as autistic
13 / 174 (7.5%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 13 / 33 (39.4%). Distinct people identified as autistic: 6 / 150 (4.0%).
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