ArticleJMIR research protocols2025
Mapping the Evidence on Compassion Skills in Applied Behavior Analysis: Protocol for Scoping Review.
Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundApplied behavior analysis (ABA) is a scientific approach that applies principles of learning and motivation to assess, design, implement, and evaluate social and environmental modifications to produce meaningful changes in human behavior. It has been widely used in various settings, particularly in the treatment of individuals with autism spectrum disorders and other developmental disabilities. Recently, compassion has emerged as a topic of growing scientific interest within ABA. To improve socially relevant behaviors, it is essential to explore how behavior analysts can provide maximum support to clients and promote significant changes through compassionate care. Although compassion skills have been studied by ABA researchers, the literature still presents gaps in understanding how these skills can be effectively integrated into ABA practice.
objectiveThis study aimed to map, identify, and provide data available in the existing literature on compassion skills and applied behavior analysis.
methodsThis scoping review will follow the methodological framework of Arksey and O'Malley with previously proposed refinements. The search strategy will use combinations of descriptors and their synonyms according to the Health Sciences Descriptors and MeSH (Medical Subject Headings) terms, using the PCC (population, concept, and context) mnemonic, combined with the Boolean operators AND Mesh OR. The electronic databases to be searched include Embase, Index Psicologia, Lilacs, PubMed, Scopus, and Web of Science. Studies published between 2020 and 2024 in English, Portuguese, and Spanish will be included. Two independent reviewers will screen titles, abstracts, and full texts, with a third reviewer resolving any disagreements.
resultsAs this is a protocol, results are pending. The review will synthesize definitions of compassion in ABA, map compassionate skills, analyze existing interventions, and identify outcomes associated with compassionate ABA practice.
conclusionsThis scoping review is expected to contribute to the evolution of ABA toward a more compassionate and holistic approach, potentially leading to improved outcomes for clients and practitioners. The findings may inform the development of compassion training programs and influence care policies in ABA.
trial registrationOSF Registries 10.17605/OSF.IO/F3A6H; https://osf.io/f3a6h. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/66399.
Indexed as
Identifiers
What OpenQuestion holds
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.