Using conjoint analysis to elicit patients' preferences for public primary care service in Serbia

HealthMED

Volumn 6, Issue 2, 2012, Pages 497-504

  Kuzmanovic, Marija ^a   Vujosevic, Mirko ^a   Martic, Milan ^a  

^a UNIVERSITY OF BELGRADE   (Serbia)

Author keywords

Conjoint analysis; Patients' preferences; Primary care; Segmentation

Indexed keywords

ADULT; AGED; ARTICLE; CONSUMER; DOCTOR PATIENT RELATION; FEMALE; HEALTH CARE COST; HEALTH CARE POLICY; HUMAN; INTERPERSONAL COMMUNICATION; KNOWLEDGE; MAJOR CLINICAL STUDY; MALE; PATIENT PREFERENCE; PATIENT SATISFACTION; PHYSICIAN ATTITUDE; PRIMARY MEDICAL CARE; SERBIA; STANDARD; TELECONSULTATION;

EID: 84857701253     PISSN: 18402291     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (28)

1. Cheraghi-Sohi S., Bower P., Mead N., McDonald R., Whalley D., Roland M. (2006). What are the Key Attributes of Primary Care for Patients? Building a Conceptual 'Map' of Patient Preferences. Health Expectations. 9: 275-284.
2. Jung H., Baerveldt C., Olesen F., Grol R., Wensing M. (2003). Patient characteristics as predictors of primary health care preferences: A systematic literature analysis. Health Expectations. 6: 160-181.
3. Aydogan U., Sari O., Akbulut H., Dikililer M.A., Saglam K., Ongel K. (2011). As a family physician in Turkey: our current standing for patient satisfaction and what we can do to improve the system. HealthMED, 5(2): 399-405.
4. Foster M.M., Earl P.E., Haines T.P., Mitchell G.K. (2010). Unravelling the concept of consumer preference: Implications for health policy and optimal planning in primary care. Health Policy. 97: 105-112.
5. Milutinovic D., Brestovacki B., Martinov-Cvejin M. (2009). Patients' satisfaction with nursing care as an indicator of quality of hospital service. HealthMED, 3(4): 412-419.
6. Vick S., Scott A. (1998). Agency in health care. Examining patients' preferences for attributes of the doctorpatient relationship. Journal of Mental Health, 17: 587-605.
7. Institute of Public Health of Serbia "Dr Milan Jovanovic Batut". 2009. "Results of customer satisfaction survey for 2008. " Available at: http://www.minzdravlja. info/downloads/Zakoni/Istrazivanja/Izvestaj%20 Zadovoljstva%20Korisnika%20ZU%202008.pdf
8. Kofteci S., Ergun M., Ay H.S. (2010). Modeling freight transportation preferences: Conjoint analysis for Turkish Region. Scientific Research Essays, 5(15): 2016-2021.
9. Kuzmanovic M., Obradovic T. (2010). The role of conjoint analysis in the new product price sensibility research. Management, 15(54): 51-58.
10. Kuzmanovic M., Panic B., Martic M. (2011). Identification of key positioning factors in the retail sector: A conjoint analysis approach, accepted for publication in African Journal of Business Management, vol 5, September 2011.
11. Opoku R.A., Akorli P.A.K. (2009). The preference gap: Ghanaian consumers' attitudes toward local and imported products. African Journal of Business Management, 3(8): 350-357.
12. Clark M., Moro D., Szczepura A. (2009). Balancing patient preferences and clinical needs: Community versus hospital based care for patients with suspected DVT. Health Policy, 90: 313-319.
13. Ryan M., Mcintosh E., Shackley P. (1998). Methodological issues in the application of Conjoint analysis in health care. Health Economics, 7(4): 373-80.
14. Ryan M., Farrar S. (2000). Using conjoint analysis to elicit preferences for health care. British Medical Journal, 320(7248): 1530-1533.
15. Chakraborty G., Gaeth G., Cunningham M. (1993). Understanding consumer preferences for dental service. Journal of Health Care Marketing, 21: 48-58.
16. Chakraborty G., Ettenson R., Gaeth G. (1994). How consumers choose health insurance. Journal of Health Care Marketing, 14: 21-33.
17. Townend M., Shackley P. (2002). Establishing and quantifying the preferences of mental health service users for day hospital care: A pilot study using conjoint analysis. J. Ment. Health. 11(1): 85-96.
18. Ryan M., Ferrar S. (1994). A pilot study using conjoint analysis to establish the views of users in the provision of orthodontic service in Grampian. Health economics Research Unit Disscusion Paper No 07/94. Aberdeen: University of Aberdeen.
19. Ratcliffe J. (2000). The use of conjoint analysis to elicit willingness-to-pay values. International Journal of Technology Assessment in Health Care, 16(1): 270-90.
20. King M.T., Hall J., Lancsar E., Fiebig D.G., Hossain I., Louviere J.J., Reddel H., Jenkins C. (2007). Patient preferences for managing asthma: Results from a discrete choice experiment. Health Economics, 16(7): 703-717.
21. Ratcliffe J., Van Haselen R., Buxton M., Hardy K., Colehan J., Partridge M. (2002). Assessing patients' preferences for characteristics associated with homeopathic and conventional treatment of asthma: a conjoint analysis study. Thorax, 57(6): 503-508.
22. Paterson R.W., Boyle K.J., Parmeter C.F., Neumann J.E., De Civita P. (2008). Heterogeneity in preferences for smoking cessation. Health Economics, 17: 1363-1377.
23. Ferrar S., Ryan M., Ross D., Ludbrook A. (1997). Prioritisation of clinical service developments in a teaching hospital: An application of conjoint analysis. Health economics Research Unit Disscusion Paper No 08/97. Aberdeen: University of Aberdeen.
24. Orme B. (2006). Sample Size Issues for Conjoint Analysis (Chapter 7). Getting Started with Conjoint Analysis: Strategies for Product Design and Pricing Research. Reprinted from Orme B (2006). Madison, Wis., Research Publishers LLC.
25. Luce R.D., Tukey J.W. (1964). Simultaneous Conjoint measurement: A new type of fundamental measurement. Journal of Mathematical Psychology, 1: 1-27.
26. Green P.E., Srinivasan V. (1990). Conjoint analysis in marketing research: New developments and directions. Journal of Marketing, 54: 3-19.
27. Kuzmanovic M. (2006). Quantitative Methods in Marketing Management: Application of Conjoint Analysis. Serbian Operations Research Society, Belgrade. (In Serbian).
28. Kuzmanovic M. (2008). The nonstandard algorithm for constructing efficient Conjoint experimental designs. Yugoslav Journal of Operations Research, 18(1): 63-74.