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The (HEAL): Psychometric Properties of a German Version (HEAL-D) in Comparison With the Original HEAL. | LitMetric

The (HEAL): Psychometric Properties of a German Version (HEAL-D) in Comparison With the Original HEAL.

Front Psychiatry

Division of Clinical Psychology and Psychotherapy, Faculty of Psychology, University of Basel, Basel, Switzerland.

Published: January 2020

Over the last years, the interest in understanding health improvements that occur due to non-specific treatment effects, rather than in response to the specific active treatment ingredients, increased. Nevertheless, investigations on patients' idiosyncratic perspectives on the non-specific aspects of the healing encounter or of the treatment itself that contribute to placebo effects are still rare. The (HEAL) offer a unique and parsimonious set of instruments to measure patients' views on a variety of non-specific aspects of the caring encounter. The HEAL items can be administered as computerized adaptive tests or short forms that assess the , the , , , , as well as . So far, no German version of the HEAL exists. The original 168 HEAL items were translated into German (HEAL-D) applying a translation-back-translation procedure. We examined the psychometric properties of HEAL-D in a sample of 165 participants who reported at least one healthcare visit during the last year. The German short forms of HEAL (HEAL-D-SF) showed good internal consistency and test-retest reliability. The factor structure observed in the English original items showed low to moderate model fit in our sample. The development of a German version of HEAL in addition to the original English items offers new possibilities for investigating patients' idiosyncratic perspectives on the non-specific aspects of treatments across language borders. We will close with presenting possible clinical application as well as promising and relevant future research directions using HEAL-D-SF, including for instance large-scale, cross-national investigations.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6965318PMC
http://dx.doi.org/10.3389/fpsyt.2019.00897DOI Listing

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