Literature DB >> 18496108

Conjoint analysis: using a market-based research model for healthcare decision making.

Nancy L Mele1.   

Abstract

BACKGROUND: Conjoint analysis is a market-based research model that has been used by businesses for more than 35 years to predict consumer preferences in product design and purchasing. Researchers in medicine, healthcare economics, and health policy have discovered the value of this methodology in determining treatment preferences, resource allocation, and willingness to pay.
OBJECTIVES: To describe the conjoint analysis methodology and explore value-added applications in nursing research.
METHODS: Conjoint analysis methodology is described, using examples from the healthcare and business literature, and personal experience with the method. IMPLICATIONS: Nurses are called upon to increase interdisciplinary research, provide an evidence base for nursing practice, create patient-centered treatments, and revise nursing education. Other disciplines have met challenges like these using conjoint analysis and discrete choice modeling.

Entities:  

Mesh:

Year:  2008        PMID: 18496108     DOI: 10.1097/01.NNR.0000319499.52122.d2

Source DB:  PubMed          Journal:  Nurs Res        ISSN: 0029-6562            Impact factor:   2.381


  13 in total

1.  Consumer preferences for the predictive genetic test for Alzheimer disease.

Authors:  Ming-Yi Huang; Sally A Huston; Matthew Perri
Journal:  J Genet Couns       Date:  2013-07-12       Impact factor: 2.537

2.  Encouraging patients with depressive symptoms to seek care: a mixed methods approach to message development.

Authors:  Robert A Bell; Debora A Paterniti; Rahman Azari; Paul R Duberstein; Ronald M Epstein; Aaron B Rochlen; Megan Dwight Johnson; Sharon E Orrange; Christina Slee; Richard L Kravitz
Journal:  Patient Educ Couns       Date:  2009-08-11

3.  HIV testing preferences among pregnant women attending antenatal care and their male partners: a discrete choice experiment in Uganda.

Authors:  Jeffrey E Korte; Michael Strauss; Aissatou Ba; Esther Buregyeya; Joseph Kb Matovu; Rose Kisa; William Musoke; Harriet Chemusto; Caroline J Vrana-Diaz; Angela M Malek; Rhoda K Wanyenze; Gavin George
Journal:  Afr J AIDS Res       Date:  2019-12       Impact factor: 1.300

4.  Elderly patients' experiences using adaptive conjoint analysis software as a decision aid for osteoarthritis of the knee.

Authors:  Donna Rochon; Jan M Eberth; Liana Fraenkel; Robert J Volk; Simon N Whitney
Journal:  Health Expect       Date:  2012-09-20       Impact factor: 3.377

5.  Multi-criteria clinical decision support: A primer on the use of multiple criteria decision making methods to promote evidence-based, patient-centered healthcare.

Authors:  James G Dolan
Journal:  Patient       Date:  2010       Impact factor: 3.883

6.  A quantitative approach to the prioritization of zoonotic diseases in North America: a health professionals' perspective.

Authors:  Victoria Ng; Jan M Sargeant
Journal:  PLoS One       Date:  2013-08-21       Impact factor: 3.240

7.  HIV testing preferences among long distance truck drivers in Kenya: a discrete choice experiment.

Authors:  Michael Strauss; Gavin George; Emma Lansdell; Joanne E Mantell; Kaymarlin Govender; Matthew Romo; Jacob Odhiambo; Eva Mwai; Eston N Nyaga; Elizabeth A Kelvin
Journal:  AIDS Care       Date:  2017-08-29

8.  Stated and revealed preferences for HIV testing: can oral self-testing help to increase uptake amongst truck drivers in Kenya?

Authors:  Michael Strauss; Gavin George; Joanne E Mantell; Matthew L Romo; Eva Mwai; Eston N Nyaga; Jacob O Odhiambo; Kaymarlin Govender; Elizabeth A Kelvin
Journal:  BMC Public Health       Date:  2018-11-06       Impact factor: 3.295

9.  A quantitative and novel approach to the prioritization of zoonotic diseases in North America: a public perspective.

Authors:  Victoria Ng; Jan M Sargeant
Journal:  PLoS One       Date:  2012-11-01       Impact factor: 3.240

10.  Application of Conjoint Analysis to Improve Reliability of Dietician Consultation in Pediatric Celiac Disease.

Authors:  Sakil Kulkarni; Kim Liss; Charles M Samson
Journal:  Pediatr Qual Saf       Date:  2017-06-13
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