IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i13p7629-d844970.html
   My bibliography  Save this article

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

Author

Listed:
  • Wiebke Mohr

    (German Center for Neurodegenerative Diseases e.V. (DZNE), Site Rostock/Greifswald, Ellernholzstrasse 1-2, D-17487 Greifswald, Germany)

  • Anika Rädke

    (German Center for Neurodegenerative Diseases e.V. (DZNE), Site Rostock/Greifswald, Ellernholzstrasse 1-2, D-17487 Greifswald, Germany)

  • Adel Afi

    (German Center for Neurodegenerative Diseases e.V. (DZNE), Site Rostock/Greifswald, Ellernholzstrasse 1-2, D-17487 Greifswald, Germany)

  • Franka Mühlichen

    (German Center for Neurodegenerative Diseases e.V. (DZNE), Site Rostock/Greifswald, Ellernholzstrasse 1-2, D-17487 Greifswald, Germany)

  • Moritz Platen

    (German Center for Neurodegenerative Diseases e.V. (DZNE), Site Rostock/Greifswald, Ellernholzstrasse 1-2, D-17487 Greifswald, Germany)

  • Bernhard Michalowsky

    (German Center for Neurodegenerative Diseases e.V. (DZNE), Site Rostock/Greifswald, Ellernholzstrasse 1-2, D-17487 Greifswald, Germany)

  • Wolfgang Hoffmann

    (German Center for Neurodegenerative Diseases e.V. (DZNE), Site Rostock/Greifswald, Ellernholzstrasse 1-2, D-17487 Greifswald, Germany
    Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, Ellernholzstrasse 1-2, D-17487 Greifswald, Germany)

Abstract

Background: Person-centered care (PCC) requires knowledge about patient preferences. This formative qualitative study aimed to identify (sub)criteria of PCC for the design of a quantitative, choice-based instrument to elicit patient preferences for person-centered dementia care. Method: Interviews were conducted with n = 2 dementia care managers, n = 10 People living with Dementia (PlwD), and n = 3 caregivers (CGs), which followed a semi-structured interview guide including a card game with PCC criteria identified from the literature. Criteria cards were shown to explore the PlwD’s conception. PlwD were asked to rank the cards to identify patient-relevant criteria of PCC. Audios were verbatim-transcribed and analyzed with qualitative content analysis. Card game results were coded on a 10-point-scale, and sums and means for criteria were calculated. Results: Six criteria with two sub-criteria emerged from the analysis; social relationships (indirect contact, direct contact), cognitive training (passive, active), organization of care (decentralized structures and no shared decision making, centralized structures and shared decision making), assistance with daily activities (professional, family member), characteristics of care professionals (empathy, education and work experience) and physical activities (alone, group). Dementia-sensitive wording and balance between comprehensibility vs. completeness of the (sub)criteria emerged as additional themes. Conclusions: Our formative study provides initial data about patient-relevant criteria of PCC to design a quantitative patient preference instrument. Future research may want to consider the balance between (sub)criteria comprehensibility vs. completeness.

Suggested Citation

  • Wiebke Mohr & Anika Rädke & Adel Afi & Franka Mühlichen & Moritz Platen & Bernhard Michalowsky & Wolfgang Hoffmann, 2022. "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 D," IJERPH, MDPI, vol. 19(13), pages 1-27, June.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:13:p:7629-:d:844970
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/13/7629/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/13/7629/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Saaty, Thomas L., 2003. "Decision-making with the AHP: Why is the principal eigenvector necessary," European Journal of Operational Research, Elsevier, vol. 145(1), pages 85-91, February.
    2. Marieke G. M. Weernink & Janine A. Til & Catharina G. M. Groothuis-Oudshoorn & Maarten J. IJzerman, 2017. "Patient and Public Preferences for Treatment Attributes in Parkinson’s Disease," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 10(6), pages 763-772, December.
    3. Janine Til & Maarten IJzerman, 2014. "Why Should Regulators Consider Using Patient Preferences in Benefit-risk Assessment?," PharmacoEconomics, Springer, vol. 32(1), pages 1-4, January.
    4. Marion Danner & Vera Vennedey & Mickaël Hiligsmann & Sascha Fauser & Christian Gross & Stephanie Stock, 2016. "How Well Can Analytic Hierarchy Process be Used to Elicit Individual Preferences? Insights from a Survey in Patients Suffering from Age-Related Macular Degeneration," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 9(5), pages 481-492, October.
    5. Joanna Coast & Hareth Al‐Janabi & Eileen J. Sutton & Susan A. Horrocks & A. Jane Vosper & Dawn R. Swancutt & Terry N. Flynn, 2012. "Using qualitative methods for attribute development for discrete choice experiments: issues and recommendations," Health Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 730-741, June.
    6. Ilene L. Hollin & Benjamin M. Craig & Joanna Coast & Kathleen Beusterien & Caroline Vass & Rachael DiSantostefano & Holly Peay, 2020. "Reporting Formative Qualitative Research to Support the Development of Quantitative Preference Study Protocols and Corresponding Survey Instruments: Guidelines for Authors and Reviewers," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 13(1), pages 121-136, February.
    7. Marion Danner & Vera Vennedey & Mickaël Hiligsmann & Sascha Fauser & Stephanie Stock, 2016. "Focus Groups in Elderly Ophthalmologic Patients: Setting the Stage for Quantitative Preference Elicitation," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 9(1), pages 47-57, February.
    8. Axel C. Mühlbacher & Anika Kaczynski, 2016. "Making Good Decisions in Healthcare with Multi-Criteria Decision Analysis: The Use, Current Research and Future Development of MCDA," Applied Health Economics and Health Policy, Springer, vol. 14(1), pages 29-40, February.
    9. Kimberly S. Van Haitsma & Kimberly Curyto & Katherine M. Abbott & Gail L. Towsley & Abby Spector & Morton Kleban, 2015. "A Randomized Controlled Trial for an Individualized Positive Psychosocial Intervention for the Affective and Behavioral Symptoms of Dementia in Nursing Home Residents," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 70(1), pages 35-45.
    10. Axel C. Mühlbacher & Anika Kaczynski & Peter Zweifel & F. Reed Johnson, 2016. "Experimental measurement of preferences in health and healthcare using best-worst scaling: an overview," Health Economics Review, Springer, vol. 6(1), pages 1-14, December.
    11. Drummond, Michael F. & Sculpher, Mark J. & Claxton, Karl & Stoddart, Greg L. & Torrance, George W., 2015. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 4, number 9780199665884.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wiebke Mohr & Anika Rädke & Adel Afi & Franka Mühlichen & Moritz Platen & Annelie Scharf & Bernhard Michalowsky & Wolfgang Hoffmann, 2022. "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 ," IJERPH, MDPI, vol. 19(14), pages 1-21, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wiebke Mohr & Anika Rädke & Adel Afi & Franka Mühlichen & Moritz Platen & Annelie Scharf & Bernhard Michalowsky & Wolfgang Hoffmann, 2022. "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 ," IJERPH, MDPI, vol. 19(14), pages 1-21, July.
    2. Mónica D. Oliveira & Inês Mataloto & Panos Kanavos, 2019. "Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 891-918, August.
    3. Jackson, Louise & Al-Janabi, Hareth & Roberts, Tracy & Ross, Jonthan, 2021. "Exploring young people's preferences for STI screening in the UK: A qualitative study and discrete choice experiment," Social Science & Medicine, Elsevier, vol. 279(C).
    4. Viberg Johansson, Jennifer & Shah, Nisha & Haraldsdóttir, Eik & Bentzen, Heidi Beate & Coy, Sarah & Kaye, Jane & Mascalzoni, Deborah & Veldwijk, Jorien, 2021. "Governance mechanisms for sharing of health data: An approach towards selecting attributes for complex discrete choice experiment studies," Technology in Society, Elsevier, vol. 66(C).
    5. Lien Nguyen & Hanna Jokimäki & Ismo Linnosmaa & Eirini-Christina Saloniki & Laurie Batchelder & Juliette Malley & Hui Lu & Peter Burge & Birgit Trukeschitz & Julien Forder, 2022. "Valuing informal carers’ quality of life using best-worst scaling—Finnish preference weights for the Adult Social Care Outcomes Toolkit for carers (ASCOT-Carer)," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(3), pages 357-374, April.
    6. Ellen M. Janssen & Jodi B. Segal & John F. P. Bridges, 2016. "A Framework for Instrument Development of a Choice Experiment: An Application to Type 2 Diabetes," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 9(5), pages 465-479, October.
    7. Aizaki, Hideo & Fogarty, James, 2019. "An R package and tutorial for case 2 best–worst scaling," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    8. Irina Pokhilenko & Luca M. M. Janssen & Aggie T. G. Paulus & Ruben M. W. A. Drost & William Hollingworth & Joanna C. Thorn & Sian Noble & Judit Simon & Claudia Fischer & Susanne Mayer & Luis Salvador-, 2023. "Development of an Instrument for the Assessment of Health-Related Multi-sectoral Resource Use in Europe: The PECUNIA RUM," Applied Health Economics and Health Policy, Springer, vol. 21(2), pages 155-166, March.
    9. Chiranjeev Sanyal & Don Husereau, 2020. "Systematic Review of Economic Evaluations of Services Provided by Community Pharmacists," Applied Health Economics and Health Policy, Springer, vol. 18(3), pages 375-392, June.
    10. Fischer, Barbara & Telser, Harry & Zweifel, Peter & von Wyl, Viktor & Beck, Konstantin & Weber, Andreas, 2023. "The value of a QALY towards the end of life and its determinants: Experimental evidence," Social Science & Medicine, Elsevier, vol. 326(C).
    11. Magda Aguiar & Mark Harrison & Sarah Munro & Tiasha Burch & K. Julia Kaal & Marie Hudson & Nick Bansback & Tracey-Lea Laba, 2021. "Designing Discrete Choice Experiments Using a Patient-Oriented Approach," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(4), pages 389-397, July.
    12. Fang, Lei, 2022. "Measuring and decomposing group performance under centralized management," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1006-1013.
    13. Nermin Kişi, 2019. "A Strategic Approach to Sustainable Tourism Development Using the A’WOT Hybrid Method: A Case Study of Zonguldak, Turkey," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    14. Andrew J. Mirelman & Miqdad Asaria & Bryony Dawkins & Susan Griffin & Richard Cookson & Peter Berman, 2020. "Fairer Decisions, Better Health for All: Health Equity and Cost-Effectiveness Analysis," World Scientific Book Chapters, in: Paul Revill & Marc Suhrcke & Rodrigo Moreno-Serra & Mark Sculpher (ed.), Global Health Economics Shaping Health Policy in Low- and Middle-Income Countries, chapter 4, pages 99-132, World Scientific Publishing Co. Pte. Ltd..
    15. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    16. Christopher M Doran & Irina Kinchin, 2020. "Economic and epidemiological impact of youth suicide in countries with the highest human development index," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-11, May.
    17. Boniface Oyugi & Olena Nizalova & Sally Kendall & Stephen Peckham, 2024. "Does a free maternity policy in Kenya work? Impact and cost–benefit consideration based on demographic health survey data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 77-89, February.
    18. Jean Spinks & Son Nghiem & Joshua Byrnes, 2021. "Risky business, healthy lives: how risk perception, risk preferences and information influence consumer’s risky health choices," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 811-831, July.
    19. Kun Chen & Gang Kou & J. Michael Tarn & Yan Song, 2015. "Bridging the gap between missing and inconsistent values in eliciting preference from pairwise comparison matrices," Annals of Operations Research, Springer, vol. 235(1), pages 155-175, December.
    20. Yuan-Wei Du & Wen Zhou, 2019. "DSmT-Based Group DEMATEL Method with Reaching Consensus," Group Decision and Negotiation, Springer, vol. 28(6), pages 1201-1230, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:13:p:7629-:d:844970. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.