Evidence map›Paper›PMID 39722945›Full record

ArticleJournal of family medicine and primary care2024

Perceptual filters: Exploring disability and ableism's cognitive framework.

Abhimanyu Vasudeva, Palani Selvam Mohanraj, Richa Tripathi, Anita Kashi Shrivastava, Vikram Vardhan

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2024. 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.

Abhimanyu VasudevaDepartment of Physical Medicine and Rehabilitation, All India Institute of Medical Sciences, Gorakhpur, Uttar Pradesh, India.
Palani Selvam MohanrajDepartment of Biochemistry, All India Institute of Medical Sciences, Gorakhpur, Uttar Pradesh, India.
Richa TripathiDepartment of Psychiatry, All India Institute of Medical Sciences, Gorakhpur, Uttar Pradesh, India.
Anita Kashi ShrivastavaDepartment of Psychology, Faculty of Science and Technology, Middlesex University Dubai, United Arab Emirates.
Vikram VardhanDepartment of Anesthesiology, All India Institute of Medical Sciences, Gorakhpur, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ableism, akin to other forms of discrimination such as sexism and racism, is increasingly recognized as a pervasive societal concern directed towards individuals with disabilities. This scholarly inquiry delineates the operational definition, manifestations, and ramifications of ableism, with a specific focus on its manifestations within healthcare settings. It underscores the critical need for targeted interventions aimed at mitigating biases among healthcare professionals and promoting inclusivity within healthcare delivery systems. Utilizing insights from cognitive psychology, the study conceptualizes ableism as a cognitive distortion, explicating the mechanisms through which biases shape perceptions and recommending Cognitive Behavioral Therapy (CBT) as a promising intervention modality. The paper advocates for exploration of intersectional analyses, utilization of qualitative research methodologies, and cultivation of collaborative partnerships with disability advocacy organizations to develop more comprehensive intervention approaches. Noteworthy limitations of the current discourse include the potential for tokenistic representations and the imperative for genuine and substantive engagement with the voices and experiences of individuals with disabilities.

Indexed as

AbleismCognitive Behavioral Therapydisability

Identifiers

PMID39722945
PMCPMC11668397

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.