Literature DB >> 11281866

Using conjoint analysis to elicit the views of health service users: an application to the patient health card.

Mandy Ryan1, Emma McIntosh, Phil Shackley.   

Abstract

OBJECTIVE: To demonstrate the application of conjoint analysis (CA) for eliciting the views of health service users.
METHODS: A CA study was conducted alongside a randomized controlled trial evaluating the introduction of a patient health card (PHC). The PHC was evaluated with respect to three other aspects of general practice: number of days between making a non-urgent appointment and seeing a doctor; waiting time in reception between the time of the appointment and seeing a doctor; and whether the patient is usually seen by the doctor of their choice. A postal questionnaire was sent to 100 individuals from a general practice in Inverurie, Scotland.
RESULTS: Seventy-five individuals returned the questionnaire, of whom 51 answered the CA section. The PHC was the least important of the attributes considered. The number of days between making a non-urgent appointment and seeing a doctor was considered to be the most important. A 1-day reduction in the number of days to appointment was four and a half times more important than having a PHC; a 1-minute reduction in waiting time in the reception area was three and a half times more important than having a PHC; and seeing a doctor of choice was over three times more important than having a PHC. Satisfaction or utility scores for different ways of providing a general practice service also indicated that priority should be given to reducing waiting time to see a doctor or reducing waiting time in reception.
CONCLUSIONS: While the PHC is a significant and positive predictor of satisfaction in general practice, it is less important than the other three attributes considered. More generally, CA appears to be a potentially useful instrument for eliciting the views of health service users.

Entities:  

Year:  1998        PMID: 11281866      PMCID: PMC5139899          DOI: 10.1046/j.1369-6513.1998.00024.x

Source DB:  PubMed          Journal:  Health Expect        ISSN: 1369-6513            Impact factor:   3.377


  8 in total

1.  Using conjoint analysis to elicit preferences for health care.

Authors:  M Ryan; S Farrar
Journal:  BMJ       Date:  2000-06-03

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.  Preferences for access to the GP: a discrete choice experiment.

Authors:  Greg Rubin; Angela Bate; Ajay George; Phil Shackley; Nicola Hall
Journal:  Br J Gen Pract       Date:  2006-10       Impact factor: 5.386

4.  Designing family-centered male circumcision services: a conjoint analysis approach.

Authors:  John F P Bridges; Sarah C Searle; Frederic W Selck; Neil A Martinson
Journal:  Patient       Date:  2012       Impact factor: 3.883

Review 5.  Valuing patients' experiences of healthcare processes: towards broader applications of existing methods.

Authors:  Mandy Ryan; Philip Kinghorn; Vikki A Entwistle; Jill J Francis
Journal:  Soc Sci Med       Date:  2014-01-24       Impact factor: 4.634

6.  Patient preferences and National Health Service costs: a cost-consequences analysis of cancer genetic services.

Authors:  Gethin L Griffith; Rhiannon Tudor Edwards; J Mark G Williams; Jonathon Gray; Val Morrison; Clare Wilkinson; Jim Turner; Barbara France; Paul Bennett
Journal:  Fam Cancer       Date:  2008-09-27       Impact factor: 2.375

7.  The relative importance of perceived doctor's attitude on the decision to consult for symptomatic osteoarthritis: a choice-based conjoint analysis study.

Authors:  Domenica Coxon; Martin Frisher; Clare Jinks; Kelvin Jordan; Zoe Paskins; George Peat
Journal:  BMJ Open       Date:  2015-10-26       Impact factor: 2.692

8.  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
  8 in total

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