Literature DB >> 25853782

[Objective Criteria in the Medicinal Therapy for Type II Diabetes: An Analysis of the Patients' Perspective with Analytic Hierarchy Process and Best-Worst Scaling].

A C Mühlbacher1, S Bethge1, A Kaczynski1, C Juhnke1.   

Abstract

BACKGROUND: The patient's perspective with regard to decision criteria of alternative treatment options has hardly been analysed. The objective of any intervention in health-care is to increase the patient's benefit.
OBJECTIVE: This study aimed to analyse the patient-relevant decision criteria in the medicinal therapy of type II diabetes. The characteristics of a drug therapy that are relevant for the choice of the patients should be revealed.
METHOD: An explorative qualitative study (N=15) in combination with a quantitative survey (in total N=388) using Analytic Hierarchy Process and Best-Worst Scaling aimed at the determination of the importance of patient-relevant decision criteria.
RESULTS: The quantitative AHP- and BWS survey resulted in a clear dominance of the attribute "HbA1c level" and its optimal settings, for both with oral anti-diabetics treated patients (OAD) and insulin-treated patients. In the group of the OAD patients both methods independently showed the same ranking of the following 3 ranks: "delay of insulin therapy" (rank 2), "occurrence of hypoglycaemia" (rank 3) and "weight changes" (rank 4). For insulin patients "the occurrence of hypoglycaemia" follows in the AHP on the second rank and in the BWS on the 3(rd) rank. Compared to OAD patients, the relevance of the target criterion "weight changes" decreases in the group of the insulin patients in the AHP on the last rank (rank 7) and in the BWS on the second last rank (rank 6).
CONCLUSION: For the first time the methods of AHP and BWS were combined to assess how patients weight between different characteristics of the treatment in type II diabetes and which influence those criteria of therapy have on the patient's benefit. Both patient groups show differences in the horizon of experience and thus in the ranking of the decision criteria. © Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2015        PMID: 25853782     DOI: 10.1055/s-0034-1390474

Source DB:  PubMed          Journal:  Gesundheitswesen        ISSN: 0941-3790


  9 in total

1.  Assessing the Importance of Treatment Goals in Patients with Psoriasis: Analytic Hierarchy Process vs. Likert Scales.

Authors:  Mandy Gutknecht; Marion Danner; Marthe-Lisa Schaarschmidt; Christian Gross; Matthias Augustin
Journal:  Patient       Date:  2018-08       Impact factor: 3.883

2.  How Well Can Analytic Hierarchy Process be Used to Elicit Individual Preferences? Insights from a Survey in Patients Suffering from Age-Related Macular Degeneration.

Authors:  Marion Danner; Vera Vennedey; Mickaël Hiligsmann; Sascha Fauser; Christian Gross; Stephanie Stock
Journal:  Patient       Date:  2016-10       Impact factor: 3.883

3.  Measuring patients' priorities using the Analytic Hierarchy Process in comparison with Best-Worst-Scaling and rating cards: methodological aspects and ranking tasks.

Authors:  Katharina Schmidt; Ana Babac; Frédéric Pauer; Kathrin Damm; J-Matthias von der Schulenburg
Journal:  Health Econ Rev       Date:  2016-11-14

4.  Prioritizing Community-Based Intervention Programs for Improving Treatment Compliance of Patients with Chronic Diseases: Applying an Analytic Hierarchy Process.

Authors:  Do Hwa Byun; Rho Soon Chang; Myung-Bae Park; Hyo-Rim Son; Chun-Bae Kim
Journal:  Int J Environ Res Public Health       Date:  2021-01-08       Impact factor: 3.390

5.  Development of a Quantitative Instrument to Elicit Patient Preferences for Person-Centered Dementia Care Stage 1: A Formative Qualitative Study to Identify Patient Relevant Criteria for Experimental Design of an Analytic Hierarchy Process.

Authors:  Wiebke Mohr; Anika Rädke; Adel Afi; Franka Mühlichen; Moritz Platen; Bernhard Michalowsky; Wolfgang Hoffmann
Journal:  Int J Environ Res Public Health       Date:  2022-06-22       Impact factor: 4.614

6.  Development of a Quantitative Preference Instrument for Person-Centered Dementia Care-Stage 2: Insights from a Formative Qualitative Study to Design and Pretest a Dementia-Friendly Analytic Hierarchy Process Survey.

Authors:  Wiebke Mohr; Anika Rädke; Adel Afi; Franka Mühlichen; Moritz Platen; Annelie Scharf; Bernhard Michalowsky; Wolfgang Hoffmann
Journal:  Int J Environ Res Public Health       Date:  2022-07-13       Impact factor: 4.614

7.  Elicitation of quantitative, choice-based preferences for Person-Centered Care among People living with Dementia in comparison to physicians' judgements in Germany: study protocol for the mixed-methods PreDemCare-study.

Authors:  Wiebke Mohr; Anika Rädke; Bernhard Michalowsky; Wolfgang Hoffmann
Journal:  BMC Geriatr       Date:  2022-07-08       Impact factor: 4.070

Review 8.  Applying the Analytic Hierarchy Process in healthcare research: A systematic literature review and evaluation of reporting.

Authors:  Katharina Schmidt; Ines Aumann; Ines Hollander; Kathrin Damm; J-Matthias Graf von der Schulenburg
Journal:  BMC Med Inform Decis Mak       Date:  2015-12-24       Impact factor: 2.796

9.  Experimental measurement of preferences in health and healthcare using best-worst scaling: an overview.

Authors:  Axel C Mühlbacher; Anika Kaczynski; Peter Zweifel; F Reed Johnson
Journal:  Health Econ Rev       Date:  2016-01-08
  9 in total

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