Instrument validation for situational diagnosis and correlation with the clinical characteristics of people with disabilities

Authors

DOI:

https://doi.org/10.47606/ACVEN/MV0022

Keywords:

Situational diagnosis, clinical pictures, people with disabilities

Abstract

Introduction: For public health, situational diagnosis constitutes a fundamental pillar of research since it facilitates the identification of needs and priorities; Monitoring indicators related to clinical pictures will allow the systematization of specific information on this risk group. Objective: Validate the instruments for the analysis of the situational diagnosis of people with disabilities, to determine the incidence of clinical pictures and analyze the correlation with their clinical pictures. Methodology: A cross-sectional, exploratory, descriptive, evaluative, correlational field investigation is carried out. A pilot test was used to establish the validity, relevance and coherence to determine the degree of reliability of the designed instruments that were validated by expert judgment. 18 people with disabilities were surveyed, randomly selected and a participant was selected for the predisposition to collaborate. Results: For the first instrument, a reliability score of 91.0 is obtained, in Combrach's alpha a reliability coefficient of 0.91. The reliability of the second instrument yielded an average of 98 and for factor: Intrafamily relationship, a percentage of 94.98 was obtained. Social acceptance 96.98 and individual perception 94.98. Conclusion: the instrument has been approved for its reliability and validity, being suitable to be applied to the sample that represents this investigation.

Downloads

Download data is not yet available.

Published

2020-07-10 — Updated on 2022-03-03

Versions

How to Cite

Castro, V. M., Romero Urrea, H. E., & Basante Toapanta, F. M. (2022). Instrument validation for situational diagnosis and correlation with the clinical characteristics of people with disabilities. Más Vita, 2(1 Extraord), 101–110. https://doi.org/10.47606/ACVEN/MV0022 (Original work published July 10, 2020)

Issue

Section

Original Articles

Most read articles by the same author(s)

1 2 3 > >>