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
- PMID: 35804302
- PMCID: PMC9264751
- DOI: 10.1186/s12877-022-03238-6
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
Abstract
Background: Person-Centered-Care (PCC) requires knowledge about patient preferences. Among People-living-with-Dementia (PlwD) data on quantitative, choice-based preferences, which would allow to quantify, weigh and rank patient-relevant elements of dementia-care, and identify most/least preferred choices, are limited. The Analytic-Hierarchy-Process (AHP) may be one approach to elicit quantitative, choice-based preferences with PlwD, due to simple pairwise comparisons of individual criteria from a complex decision-problem, e.g. health care decisions. Furthermore, data on congruence of patient preferences with physicians' judgements for PCC are missing. If patient preferences and physicians' judgements differ, provision of PCC becomes unlikely. An understanding of patient preferences compared to physician's judgements will support the implementation of truly PCC, i.e. state of the art dementia-care aligned with patient preferences.
Methods: This mixed-methods-study will be based on the results from a previous systematic review and conducted in three phases: (I) literature-based key intervention-categories of PCC will be investigated during qualitative interviews with Dementia-Care-Managers (DCMs) and PlwD to identify actually patient-relevant (sub) criteria of PCC; (II) based on findings from phase I, an AHP-survey will be designed and pre-tested for face- and content-validity, and consistency during face-to-face "thinking-aloud"-interviews with PlwD and two expert panels (DCMs and physicians); (III) the developed survey will elicit patient preferences and physicians' judgements for PCC. To assess individual importance weights for (sub) criteria in both groups, the Principal-Eigenvector-Method will be applied. Weights will be aggregated per group by Aggregation-of-Individual-Priorities-mode. Descriptive and interferential statistical analyses will be conducted to assess congruence of importance-weights between groups. Subgroup-analyses shall investigate participant-heterogeneities, sensitivity of AHP-results shall be tested by inclusion/exclusion of inconsistent respondents.
Discussion: Little research is published on quantitative, choice-based preferences in dementia care. We expect that (1) PlwD have preferences and can express these, (2) that the AHP is a suitable technique to elicit quantitative, choice-based preferences among PlwD, and (3) to identify a divergence between patient preferences and physicians' judgements for PCC. With the help of the AHP-technique, which supports systematic decision-making including multiple criteria, it may be possible to involve PlwD in future care decisions (patient participation) and ensure implementation of truly Person-Centered-Dementia-Care.
Trial registration: Approval of the study was granted by the Ethics Committee at the University Medicine Greifswald the 09Apr2021 (Reg.-Nr.: BB 018-21, BB 018-21a, BB 018-21b).
Keywords: Analytic hierarchy process; Decision-making; Dementia; Multi-criteria decision analysis; Patient participation; Patient preferences; Patient-centered care; Person-centered care; Protocol.
© 2022. The Author(s).
Conflict of interest statement
The authors declare that they have no competing interests.
Figures

Similar articles
-
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.Int J Environ Res Public Health. 2022 Jun 22;19(13):7629. doi: 10.3390/ijerph19137629. Int J Environ Res Public Health. 2022. PMID: 35805286 Free PMC article.
-
Do They Align? Congruence Between Patient Preferences of People Living with Cognitive Impairments and Physicians' Judgements for Person-Centered Care: An Analytic Hierarchy Process Study.J Alzheimers Dis. 2023;91(2):727-741. doi: 10.3233/JAD-220753. J Alzheimers Dis. 2023. PMID: 36502324 Free PMC article.
-
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.Int J Environ Res Public Health. 2022 Jul 13;19(14):8554. doi: 10.3390/ijerph19148554. Int J Environ Res Public Health. 2022. PMID: 35886406 Free PMC article.
-
Patient preferences versus physicians' judgement: does it make a difference in healthcare decision making?Appl Health Econ Health Policy. 2013 Jun;11(3):163-80. doi: 10.1007/s40258-013-0023-3. Appl Health Econ Health Policy. 2013. PMID: 23529716 Review.
-
Key Intervention Categories to Provide Person-Centered Dementia Care: A Systematic Review of Person-Centered Interventions.J Alzheimers Dis. 2021;84(1):343-366. doi: 10.3233/JAD-210647. J Alzheimers Dis. 2021. PMID: 34542075 Free PMC article.
Cited by
-
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.Int J Environ Res Public Health. 2022 Jun 22;19(13):7629. doi: 10.3390/ijerph19137629. Int J Environ Res Public Health. 2022. PMID: 35805286 Free PMC article.
-
Do They Align? Congruence Between Patient Preferences of People Living with Cognitive Impairments and Physicians' Judgements for Person-Centered Care: An Analytic Hierarchy Process Study.J Alzheimers Dis. 2023;91(2):727-741. doi: 10.3233/JAD-220753. J Alzheimers Dis. 2023. PMID: 36502324 Free PMC article.
-
An analytic hierarchy process analysis for reinforcing doctor-patient communication.BMC Prim Care. 2023 Jan 21;24(1):24. doi: 10.1186/s12875-023-01972-3. BMC Prim Care. 2023. PMID: 36670353 Free PMC article.
-
Best-Worst Scaling Survey of Inpatients' Preferences in Medical Decision-Making Participation in China.Healthcare (Basel). 2023 Jan 21;11(3):323. doi: 10.3390/healthcare11030323. Healthcare (Basel). 2023. PMID: 36766897 Free PMC article.
-
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.Int J Environ Res Public Health. 2022 Jul 13;19(14):8554. doi: 10.3390/ijerph19148554. Int J Environ Res Public Health. 2022. PMID: 35886406 Free PMC article.
References
-
- Prince M, Comas-Herrera A, Knapp M, Guerchet M, Karagiannidou M. World Alzheimer report 2016. Improving healthcare for people living with dementia: coverage, quality and costs now and in the future. London: Alzheimer’s Disease International; 2016.
-
- Vos T, Lim SS, Abbafati C, Abbas KM, Abbasi M, Abbasifard M, et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1204–1222. doi: 10.1016/S0140-6736(20)30925-9. - DOI - PMC - PubMed
-
- Nichols E, Vos T. Estimating the global mortality from Alzheimer’s disease and other dementias: a new method and results from the global burden of disease study 2019. Alzheimers Dement. 2020;16(S10):e042236.
-
- U.S. Food & Drug Administration . FDA’s decision to approve new treatment for Alzheimer’s disease silver spring, MD, USA. U.S. Food & Drug Administration; 2021.
-
- European Medicines Agency . Aduhelm: European Medicines Agency. 2022.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical