Evidence map›Paper›PMID 42068506›Full record

ArticleJournal of patient-reported outcomes2026

Evaluating different scoring algorithms to assess communication ability for individuals living with Angelman syndrome: the Observer-Reported Communication Ability (ORCA) measure.

Bryce B Reeve, Li Lin, Abigail Rader, Nicole Lucas, Kelly L Gordon, Molly McFatrich, Allyson Berent, Harrison N Jones

Abstract read
In one paragraph

Article in Journal of patient-reported outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Bryce B ReeveDuke University Health System, Durham, USA. Bryce.Reeve@duke.edu.ORCID http://orcid.org/0000-0002-6709-8714
Li LinDuke University Health System, Durham, USA.
Abigail RaderDuke University Health System, Durham, USA.
Nicole LucasDuke University Health System, Durham, USA.
Kelly L GordonDuke University Health System, Durham, USA.
Molly McFatrichDuke University Health System, Durham, USA.
Allyson BerentFoundation for Angelman Syndrome Therapeutics, Austin, USA.
Harrison N JonesEast Carolina University, Greenville, USA.

Funding

U.S. Food and Drug Administration UH3FD007304
6 · The paper itself

Abstract

backgroundMany neurodevelopmental disorders are associated with significantly impaired communication that impacts the individuals and their families' daily activities. The objective of this study is to evaluate the effectiveness of multiple scoring algorithms for the Observer-Reported Communication Ability (ORCA) measure in assessing communication abilities in individuals living with Angelman syndrome and other neurodevelopmental disorders with severe language impairments.

methodsThis secondary data analysis used caregiver-reported data from the ORCA validation study (n = 249) and the Angelman Syndrome Natural History Study (n = 165). Performance of the scoring algorithms was evaluated based on item response theory information functions, the percentage of scores at the floor and ceiling, and the Pearson correlation of scores between the ORCA measure and the Communication and Symbolic Behaviors Scale (CSBS).

resultsThe ORCA measure's scoring algorithms, which include both emerging and mastery levels of communication behaviors ("Emerging & Mastery"), captured lower levels of ability with greater precision than the algorithm that only assesses mastery levels of behaviors. For overall communication ability in the validation study, the Emerging & Mastery algorithm had floor and ceiling effects of 0.4% each, while the Mastery algorithm had effects of 1.2% and 0.0%, respectively. Both ORCA scoring algorithms for overall communication had strong correlations with the CSBS (r = 0.85 and 0.83, respectively). Similar results were found when scoring ability at the expressive, receptive, and pragmatic (social) communication levels.

conclusionsSelection of the appropriate ORCA scoring algorithm for use in research studies should be based on the communication concept of interest for the intervention being evaluated and the characteristics of the neurodevelopmental disorder population being assessed. This study reinforces the need for robust assessment tools that can adapt to the unique challenges of rare disease populations.

Indexed as

AlgorithmsAngelman SyndromeCommunicationAdolescentChildChild, PreschoolFemaleHumansMalePsychometricsReproducibility of ResultsClinical outcome assessmentCommunicationPsychometricsRare disease

Identifiers

PMID42068506
PMCPMC13287182

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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.