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Record W3002823584 · doi:10.1007/s12055-019-00895-y

Proposed method for evaluation and categorization of functional capacity of children, adolescents, and adults with cardiac diseases to bring them in existing social justice system by creating the cardiac disability criteria

2020· article· en· W3002823584 on OpenAlexaboutno aff
Smita Mishra, Rajesh Sharma

Bibliographic record

VenueIndian Journal of Thoracic and Cardiovascular Surgery · 2020
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsnot available
FundersAll-India Institute of Medical Sciences
KeywordsMedicineGovernment (linguistics)EmpowermentPsychological interventionPsychiatryPolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: Emerging epidemiological trends in India indicate the rising burden of cardiovascular diseases (CVDs) demanding a need of a social support system. Yet, the list of 21 benchmark disabilities notified by the Department of Empowerment of Persons with Disabilities, Ministry of Social Justice and Empowerment, Government of India, does not include CVDs under the newly enacted Rights of Persons with Disabilities (RPWD) Act, 2016. While the RPWD Act 2016 has acknowledged the dynamic nature of disabilities associated with congenital diseases like thalassemia, it has also provided an opportunity to bring in "cardiac disability" under its tenets. This would allow India to adopt strategies for the benefit of cardiac patients in accordance with policies adopted by developed countries such as the United States of America (USA), the United Kingdom of Great Britain (UK), and Canada. This document is to initiate a thought process of recruitment of cardiac patients in the social justice system. AIMS AND OBJECTIVES: (1) To define cardiac disability, (2) to categorize cardiac diseases/defects (groups A-C) according to severity and need for interventions, (3) to identify operated and unoperated patients with normal functional capacity and their eligibility to avail normal opportunities similar to their peer groups, (4) to create a comprehensive cardiac disability scoring (CCDS) system for disability certification based on subjective and objective evaluation of functional capacity and the corresponding heart disease category group, and (5) to create a reference literature for the issues of education, employability, insurability, and vocational counseling based on this document. METHODOLOGY: The evolution of this manuscript has been discussed in view of relevant observations made by a team of cardiologists, cardiac surgeons, intensivists, pediatricians, social workers, etc. CONCLUSION: This manuscript suggests a CCDS system to lay down criteria for disability status for eligible patients suffering from cardiovascular diseases. It intends to offer a unique scientific tool to address the psychosocial and socio-economic bias against patients with heart diseases of heterogeneous nature.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.304
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2020
Admission routes1
Has abstractyes

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