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Validation of the Comfort scale for relatives of people in critical states of health

Freitas, Kátia Santana; Menezes, Igor Gomes; Mussi, Fernanda Carneiro


Kátia Santana Freitas

Fernanda Carneiro Mussi



this methodological study aims to present the construct validity of the Comfort scale for family members of people in a critical state of health (ECONF).


this is a methodological study. The sample was made up of 274 family members of adults receiving inpatient treatment in six Intensive Care Units (ICU) in the State of Bahía responded to 62 items distributed in 7 dimensions. The validation procedures adopted were based on the techniques of the Classical Test Theory.


the analysis of dimensionality was undertaken through principal components analysis, a scale being obtained with 55 items distributed in four factors: Safety, Support, Family member-relative interaction and Integration with oneself and the everyday. The analysis of the items' , discriminative power, undertaken by the item-total correlation-coefficient showed a good relationship of the items with their respective factors. From the ECONF's reliability test, from the analysis of internal consistency, a raised Alpha Cronbach coefficient was obtained for the 4 factors and the general measurement.


the comfort scale presented satisfactory psychometric parameters, thus constituting the first valid instrument for evaluating the comfort of family members of people in a critical state of health. The advance made by the study lies in its theoretical framework on comfort, and provides the health team with a scale based on empirical evidence.

Journal Article Type Article
Publication Date 2015-08
Journal Revista Latino-Americana de Enfermagem
Print ISSN 0104-1169
Electronic ISSN 1518-8345
Peer Reviewed Peer Reviewed
Volume 23
Issue 4
Pages 660-668
APA6 Citation Freitas, K. S., Menezes, I. G., & Mussi, F. C. (2015). Validation of the Comfort scale for relatives of people in critical states of health. Revista Latino-Americana de Enfermagem, 23(4), 660-668.
Keywords Psychometrics; Family; Intensive Care Units; Nursing
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Published article (449 Kb)

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