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SAHD-10: Development and initial validation of a short version of the Schedule of Attitudes Toward Hastened Death based on a large multinational sample

Published online by Cambridge University Press:  14 January 2025

Kerstin Kremeike*
Affiliation:
Department of Palliative Medicine, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
Kathleen Boström
Affiliation:
Department of Palliative Medicine, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
Thomas Dojan
Affiliation:
Department of Palliative Medicine, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
Cristina Monforte-Royo
Affiliation:
Department of Nursing, Faculty of Medicine and Health Science, Universitat Internacional de Catalunya, Barcelona, Spain
Barry Rosenfeld
Affiliation:
Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, USA Department of Psychology, Fordham University, Bronx, New York, USA
Raymond Voltz
Affiliation:
Department of Palliative Medicine, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany Center for Health Services Research, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
Christian Rietz
Affiliation:
Faculty of Educational and Social Sciences, Department of Educational Science, University of Education Heidelberg, Heidelberg, Germany
Julia Strupp
Affiliation:
Department of Palliative Medicine, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
*
Corresponding author: Kerstin Kremeike; Email: kerstin.kremeike@uk-koeln.de
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Abstract

Objectives

Wishes to hasten death (WTHDs) are common in patients with serious illness. The Schedule of Attitudes Toward Hastened Death (SAHD) is a validated 20-item instrument for measuring WTHD. Two short versions have also been developed based on statistical item selection. However, all existing versions show some limitations with potential for improvement. This study aims to develop and initially validate a theory-driven and statistically sound SAHD short version based on a large multinational sample to advance the WTHD assessment in different countries and with different legislations.

Methods

A 3-step procedure was carried out including (1) theory-driven item selection, (2) exploratory, and (3) confirmatory factor analysis. We used a data set collected between 1998 and 2020 across 3 different countries (Germany, Spain, USA). Participants were N = 1156 complete cases (n = 181 German, n = 101 Spanish and n = 874 US) of severely ill adult in- and outpatients. They had to be ≥18 years and give informed consent.

Results

The exploratory factor analysis revealed that 10 of 11 items previously selected theory-driven loaded on either of 2 factors: (1) WTHD and (2) internal locus of control. These factors showed good to excellent reliability according to Cronbach’s α and McDonald’s Ω, as well as an excellent fit of our data as an overall model for the total sample.

Significance of results

The developed SAHD-10 represents a reliable and valid alternative to the SAHD and an efficient means to measure and further investigate a WTHD in cross-cultural clinical and research settings.

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), 2025. Published by Cambridge University Press.
Figure 0

Figure 1. Flowchart of development and initial validation process.

aRosenfeld et al. (1999), Galushko & Strupp et al. (2015), Villavicencio-Chávez et al. (2014).
Figure 1

Table 1. Theory-driven item selection

Figure 2

Table 2. Exploratory factor analysis using PCA/varimax rotation

Figure 3

Table 3. KTT item statistics

Figure 4

Figure 2. Factor loadings of the total sample.

Figure 5

Table 4. Confirmatory factor analysis

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