BACKGROUND: Public reports about health-care quality have not been effectively used by consumers thus far. A possible explanation is inadequate presentation of the information. OBJECTIVE: To assess which presentation features contribute to consumers' correct interpretation and effective use of comparative health-care quality information and to examine the influence of consumer characteristics. DESIGN: Fictitious Consumer Quality Index (CQI) data on home care quality were used to construct experimental presentation formats of comparative information. These formats were selected using conjoint analysis methodology. We used multilevel regression analysis to investigate the effects of presenting bar charts and star ratings, ordering of the data, type of stars, number of stars and inclusion of a global rating. SETTING AND PARTICIPANTS: Data were collected during 2 weeks of online questioning of 438 members of an online access panel. RESULTS: Both presentation features and consumer characteristics (age and education) significantly affected consumers' responses. Formats using combinations of bar charts and stars, three stars, an alphabetical ordering of providers and no inclusion of a global rating supported consumers. The effects of the presentation features differed across the outcome variables. CONCLUSIONS: Comparative information on the quality of home care is complex for consumers. Although our findings derive from an experimental situation, they provide several suggestions for optimizing the information on the Internet. More research is needed to further unravel the effects of presentation formats on consumer decision making in health care.
BACKGROUND: Public reports about health-care quality have not been effectively used by consumers thus far. A possible explanation is inadequate presentation of the information. OBJECTIVE: To assess which presentation features contribute to consumers' correct interpretation and effective use of comparative health-care quality information and to examine the influence of consumer characteristics. DESIGN: Fictitious Consumer Quality Index (CQI) data on home care quality were used to construct experimental presentation formats of comparative information. These formats were selected using conjoint analysis methodology. We used multilevel regression analysis to investigate the effects of presenting bar charts and star ratings, ordering of the data, type of stars, number of stars and inclusion of a global rating. SETTING AND PARTICIPANTS: Data were collected during 2 weeks of online questioning of 438 members of an online access panel. RESULTS: Both presentation features and consumer characteristics (age and education) significantly affected consumers' responses. Formats using combinations of bar charts and stars, three stars, an alphabetical ordering of providers and no inclusion of a global rating supported consumers. The effects of the presentation features differed across the outcome variables. CONCLUSIONS: Comparative information on the quality of home care is complex for consumers. Although our findings derive from an experimental situation, they provide several suggestions for optimizing the information on the Internet. More research is needed to further unravel the effects of presentation formats on consumer decision making in health care.
Authors: Janis O'Meara; Martin Kitchener; Eric Collier; Margaret Lyons; Ana de Billwiller-Kiss; Lisa Payne Simon; Charlene Harrington Journal: Am J Med Qual Date: 2005 Jan-Feb Impact factor: 1.852
Authors: D R Veroff; P M Gallagher; V Wilson; M Uyeda; J Merselis; E Guadagnoli; S Edgman-Levitan; A Zaslavsky; S Kleimann; P D Cleary Journal: Int J Qual Health Care Date: 1998-12 Impact factor: 2.038
Authors: Nicole A B M Ketelaar; Marjan J Faber; Signe Flottorp; Liv Helen Rygh; Katherine H O Deane; Martin P Eccles Journal: Cochrane Database Syst Rev Date: 2011-11-09
Authors: David Metcalfe; Arturo J Rios Diaz; Olubode A Olufajo; M Sofia Massa; Nicole Abm Ketelaar; Signe A Flottorp; Daniel C Perry Journal: Cochrane Database Syst Rev Date: 2018-09-06
Authors: Charlotte M Kugler; Karina K De Santis; Tanja Rombey; Kaethe Goossen; Jessica Breuing; Nadja Könsgen; Tim Mathes; Simone Hess; René Burchard; Dawid Pieper Journal: BMC Health Serv Res Date: 2021-07-02 Impact factor: 2.655