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Translation and cross-cultural adaptation of the Identification des patients nécessitant des soins PALLiatifs généraux et spécialisés (ID-PALL©) to Brazilian Portuguese

Published online by Cambridge University Press:  04 August 2026

Fernanda Ilha Pedroso
Affiliation:
Universidade Federal de Santa Maria, Santa Maria, RS, Brazil
Etiane de Oliveira Freitas
Affiliation:
Universidade Federal de Santa Maria, Santa Maria, RS, Brazil
Luis Felipe Dias Lopes
Affiliation:
Universidade Federal de Santa Maria, Santa Maria, RS, Brazil
Patrícia Bitencourt Toscani Greco
Affiliation:
Universidade Federal do Rio Grande, Rio Grande, RS, Brazil
Graciela Dutra Sehnem
Affiliation:
Universidade Federal de Santa Maria, Santa Maria, RS, Brazil
Sahar Obeid*
Affiliation:
Department of Psychology and Education, School of Arts and Sciences, Lebanese American University, Jbeil, Lebanon
Carlos Laranjeira
Affiliation:
School of Health Sciences, Polytechnic University of Leiria, Leiria, Portugal Centre for Innovative Care and Health Technology (ciTechCare), Polytechnic University of Leiria, Leiria, Portugal Comprehensive Health Research Centre (CHRC), University of Évora,Évora, Portugal
Silvana Bastos Cogo
Affiliation:
Universidade Federal de Santa Maria, Santa Maria, RS, Brazil
*
Corresponding author: Sahar Obeid; Email: saharobeid23@hotmail.com
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Abstract

Objectives

The growing demand for palliative care (PC) services and the need for standardized approaches to patient identification highlight the importance of having validated tools available in Brazilian Portuguese. The absence of culturally adapted instruments may hinder appropriate patient assessment, delay referral to PC services, and ultimately compromise the quality of care delivered. This study aims to translate and adapt the Identification des patients nécessitant des soins PALLiatifs généraux et spécialisés (ID-PALL©) instrument into Brazilian Portuguese.

Methods

Herdman’s recommendations were followed, which include conceptual, item, and semantic validation stages. After authorization from the ID-PALL© developers, the translation, synthesis of the translated versions, and back-translation of the instrument were performed. Subsequently, a committee of 11 experts evaluated the semantic, idiomatic, conceptual, and cultural equivalence between the versions, resulting in the development of the pre-final version. To validate the instrument’s content, this version was pre-tested (n = 30) with the participation of physicians and nurses. For statistical analyses, the content validity coefficient (CVC) was calculated.

Results

The cross-cultural adaptation demonstrated the suitability of the translated versions after semantic and cultural adjustments. The pre-final version showed satisfactory comprehension and semantic (CVC), idiomatic (CVC), conceptual (CVC), and cultural (CVC) equivalence, which enabled the development of the final version, named IDPALL-BR. The data obtained in the pre-test demonstrated content validity among the target audience, with a CVC = 0.909.

Significance of results

The Brazilian Portuguese version of this instrument has semantic validity and, therefore, shows potential for screening general and specialized PC needs.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press.
Figure 0

Figure 1. Flowchart of the translation and cross-cultural adaptation process of the ID-PALL©.Figure 1 long description.

Figure 1

Table 1. Original version and T12 versionTable 1 long description.

Figure 2

Table 2. CVC experts (n = 11)Table 2 long description.

Figure 3

Table 3. Version T12 and pre-final version only for questions that underwent changes in this processTable 3 long description.

Figure 4

Table 4. CVC pre-test (n = 30)Table 4 long description.

Figure 5

Table 5. IDPALL-BRTable 5 long description.