Evidence map›Paper›PMID 41016721›Full record

ArticleIntellectual and developmental disabilities2025

Technology Access, Utility, and Unmet Needs: Results From the Arc's FINDS Survey.

Emily K Unholz-Bowden, Yue Wu, Alec Nyce, Brian H Abery, Lynda Lahti Anderson

Abstract read
In one paragraph

Article in Intellectual and developmental disabilities, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Emily K Unholz-BowdenEmily K. Unholz-Bowden, Yue Wu, Alec Nyce, Brian H. Abery, and Lynda Lahti Anderson, University of Minnesota.
Yue WuEmily K. Unholz-Bowden, Yue Wu, Alec Nyce, Brian H. Abery, and Lynda Lahti Anderson, University of Minnesota.
Alec NyceEmily K. Unholz-Bowden, Yue Wu, Alec Nyce, Brian H. Abery, and Lynda Lahti Anderson, University of Minnesota.
Brian H AberyEmily K. Unholz-Bowden, Yue Wu, Alec Nyce, Brian H. Abery, and Lynda Lahti Anderson, University of Minnesota.
Lynda Lahti AndersonEmily K. Unholz-Bowden, Yue Wu, Alec Nyce, Brian H. Abery, and Lynda Lahti Anderson, University of Minnesota.

Funding

ACL HHS 90RTCP0003ACL HHS 90RTCP0011U.S. Department of Health and Human Services, Administration on Community Living 90RTCP0003
6 · The paper itself

Abstract

Technology can enhance the quality of life of people with intellectual and developmental disabilities (IDD). However, little is known about the extent to which it is accessible to and useful for people with IDD and their caregivers from different backgrounds. A secondary analysis was conducted using 3,113 caregiver responses from the Arc's Family and Individual Needs for Disability Supports Survey to explore associations between technology access, utility, unmet needs, and various demographic characteristics of individuals with IDD and their families. Overall, reports of family members with IDD being older, employed, having more education, less health-related needs, and greater access to state-based services were associated with technology being reported as accessible and useful. Implications for research, practice, and policy are discussed.

Indexed as

CaregiversDevelopmental DisabilitiesHealth Services AccessibilityHealth Services Needs and DemandIntellectual DisabilitySelf-Help DevicesAdolescentAdultAgedFemaleHumansMaleMiddle AgedNeeds AssessmentQuality of LifeSurveys and Questionnairescaregiver reportFINDS surveyintellectual and developmental disabilitiesmixed effects modelstechnology

Identifiers

PMID41016721
PMCPMC12483175

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.