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Adaptation and validation of a German version of the Multimorbidity Treatment Burden Questionnaire

BACKGROUND: Patients with multiple long-term conditions often face a variety of challenges arising from the requirements of their health care. Knowledge of perceived treatment burden is crucial for optimizing treatment. In this study, we aimed to create a German version of the Multimorbidity Treatme...

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Autores principales: Schulze, Josefine, Breckner, Amanda, Duncan, Polly, Scherer, Martin, Pohontsch, Nadine Janis, Lühmann, Dagmar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166496/
https://www.ncbi.nlm.nih.gov/pubmed/35658972
http://dx.doi.org/10.1186/s12955-022-01993-z
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author Schulze, Josefine
Breckner, Amanda
Duncan, Polly
Scherer, Martin
Pohontsch, Nadine Janis
Lühmann, Dagmar
author_facet Schulze, Josefine
Breckner, Amanda
Duncan, Polly
Scherer, Martin
Pohontsch, Nadine Janis
Lühmann, Dagmar
author_sort Schulze, Josefine
collection PubMed
description BACKGROUND: Patients with multiple long-term conditions often face a variety of challenges arising from the requirements of their health care. Knowledge of perceived treatment burden is crucial for optimizing treatment. In this study, we aimed to create a German version of the Multimorbidity Treatment Burden Questionnaire (MTBQ) and to evaluate its validity. METHODS: The steps to translate the MTBQ included forward/back translation, cognitive interviews (n = 6) and a pilot test (n = 7). Psychometric properties of the scale were assessed in a cross-sectional survey with primary care patients aged 65 and older with at least 3 long-term conditions (n = 344). We examined the distribution of responses, dimensionality, internal reliability and construct validity. RESULTS: Cognitive interviewing and piloting led to minor modifications and showed overall good face validity and acceptability. As expected, we observed a positively skewed response distribution for all items. Reliability was acceptable with McDonald’s omega = 0.71. Factor analysis suggested one common factor while model fit indices were inconclusive. Predefined hypotheses regarding the construct validity were supported by negative associations between treatment burden and health-related quality of life, self-rated health, social support, patient activation and medication adherence, and positive associations between treatment burden and number of comorbidities. Treatment burden was found to be higher in female participants (Mdn(1) = 6.82, Mdn(2) = 4.55; U = 11,729, p = 0.001) and participants with mental health diagnoses (Mdn(1) = 9.10, Mdn(2) = 4.55; U = 3172, p = 0.024). CONCLUSIONS: The German MTBQ exhibited good psychometric properties and can be used to assess the perceived treatment burden of patients with multimorbidity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12955-022-01993-z.
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spelling pubmed-91664962022-06-05 Adaptation and validation of a German version of the Multimorbidity Treatment Burden Questionnaire Schulze, Josefine Breckner, Amanda Duncan, Polly Scherer, Martin Pohontsch, Nadine Janis Lühmann, Dagmar Health Qual Life Outcomes Research BACKGROUND: Patients with multiple long-term conditions often face a variety of challenges arising from the requirements of their health care. Knowledge of perceived treatment burden is crucial for optimizing treatment. In this study, we aimed to create a German version of the Multimorbidity Treatment Burden Questionnaire (MTBQ) and to evaluate its validity. METHODS: The steps to translate the MTBQ included forward/back translation, cognitive interviews (n = 6) and a pilot test (n = 7). Psychometric properties of the scale were assessed in a cross-sectional survey with primary care patients aged 65 and older with at least 3 long-term conditions (n = 344). We examined the distribution of responses, dimensionality, internal reliability and construct validity. RESULTS: Cognitive interviewing and piloting led to minor modifications and showed overall good face validity and acceptability. As expected, we observed a positively skewed response distribution for all items. Reliability was acceptable with McDonald’s omega = 0.71. Factor analysis suggested one common factor while model fit indices were inconclusive. Predefined hypotheses regarding the construct validity were supported by negative associations between treatment burden and health-related quality of life, self-rated health, social support, patient activation and medication adherence, and positive associations between treatment burden and number of comorbidities. Treatment burden was found to be higher in female participants (Mdn(1) = 6.82, Mdn(2) = 4.55; U = 11,729, p = 0.001) and participants with mental health diagnoses (Mdn(1) = 9.10, Mdn(2) = 4.55; U = 3172, p = 0.024). CONCLUSIONS: The German MTBQ exhibited good psychometric properties and can be used to assess the perceived treatment burden of patients with multimorbidity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12955-022-01993-z. BioMed Central 2022-06-03 /pmc/articles/PMC9166496/ /pubmed/35658972 http://dx.doi.org/10.1186/s12955-022-01993-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Schulze, Josefine
Breckner, Amanda
Duncan, Polly
Scherer, Martin
Pohontsch, Nadine Janis
Lühmann, Dagmar
Adaptation and validation of a German version of the Multimorbidity Treatment Burden Questionnaire
title Adaptation and validation of a German version of the Multimorbidity Treatment Burden Questionnaire
title_full Adaptation and validation of a German version of the Multimorbidity Treatment Burden Questionnaire
title_fullStr Adaptation and validation of a German version of the Multimorbidity Treatment Burden Questionnaire
title_full_unstemmed Adaptation and validation of a German version of the Multimorbidity Treatment Burden Questionnaire
title_short Adaptation and validation of a German version of the Multimorbidity Treatment Burden Questionnaire
title_sort adaptation and validation of a german version of the multimorbidity treatment burden questionnaire
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166496/
https://www.ncbi.nlm.nih.gov/pubmed/35658972
http://dx.doi.org/10.1186/s12955-022-01993-z
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