B C Booske1, F Sainfort, A S Hundt. 1. Center for Health Systems Research and Analysis, University of Wisconsin-Madison, 53705, USA.
Abstract
OBJECTIVE: To examine (1) what people say is important to them in choosing a health plan; (2) the effect, if any, that giving health plan information has on what people say is important to them; and (3) the effect of preference elicitation methods on what people say is important. DATA SOURCES/STUDY SETTINGS: A random sample of 201 Wisconsin state employees who participated in a health plan choice experiment during the 1995 open enrollment period. STUDY DESIGN: We designed a computer system to guide subjects through the review of information about health plan options. The system began by eliciting the stated preferences of the subjects before they viewed the information, at time 0. Subjects were given an opportunity to revise their preference structures first after viewing summary information about four health plans (time 1) and then after viewing more extensive, detailed information about the same options (time 2). At time 2, these individuals were also asked to rate the relative importance of a predefined list of health plan features presented to them. DATA COLLECTION/EXTRACTION METHODS: Data were collected on the number of attributes listed at each point in time and the importance weightings assigned to each attribute. In addition, each item on the attribute list was content analyzed. PRINCIPAL FINDINGS: The provision of information changes the preference structures of individuals. Costs (price) and coverage dominated the attributes cited both before and after looking at health plan information. When presented with information on costs, quality, and how plans work, many of these relatively well educated consumers revised their preference structures; yet coverage and costs remained the primary cited attributes. CONCLUSIONS: Although efforts to provide health plan information should continue, decisions on the information to provide and on making it available are not enough. Individuals need help in understanding, processing, and using the information to construct their preferences and make better decisions.
OBJECTIVE: To examine (1) what people say is important to them in choosing a health plan; (2) the effect, if any, that giving health plan information has on what people say is important to them; and (3) the effect of preference elicitation methods on what people say is important. DATA SOURCES/STUDY SETTINGS: A random sample of 201 Wisconsin state employees who participated in a health plan choice experiment during the 1995 open enrollment period. STUDY DESIGN: We designed a computer system to guide subjects through the review of information about health plan options. The system began by eliciting the stated preferences of the subjects before they viewed the information, at time 0. Subjects were given an opportunity to revise their preference structures first after viewing summary information about four health plans (time 1) and then after viewing more extensive, detailed information about the same options (time 2). At time 2, these individuals were also asked to rate the relative importance of a predefined list of health plan features presented to them. DATA COLLECTION/EXTRACTION METHODS: Data were collected on the number of attributes listed at each point in time and the importance weightings assigned to each attribute. In addition, each item on the attribute list was content analyzed. PRINCIPAL FINDINGS: The provision of information changes the preference structures of individuals. Costs (price) and coverage dominated the attributes cited both before and after looking at health plan information. When presented with information on costs, quality, and how plans work, many of these relatively well educated consumers revised their preference structures; yet coverage and costs remained the primary cited attributes. CONCLUSIONS: Although efforts to provide health plan information should continue, decisions on the information to provide and on making it available are not enough. Individuals need help in understanding, processing, and using the information to construct their preferences and make better decisions.
Authors: Olga C Damman; Michelle Hendriks; Jany Rademakers; Peter Spreeuwenberg; Diana M J Delnoij; Peter P Groenewegen Journal: Health Expect Date: 2011-05-25 Impact factor: 3.377
Authors: Christie R Eheman; Zahava Berkowitz; Judith Lee; Supriya Mohile; Jason Purnell; Elisa Marie Rodriguez; Joseph Roscoe; David Johnson; Jeffrey Kirshner; Gary Morrow Journal: J Health Commun Date: 2009 Jul-Aug
Authors: Olga C Damman; Michelle Hendriks; Jany Rademakers; Diana M J Delnoij; Peter P Groenewegen Journal: BMC Public Health Date: 2009-11-20 Impact factor: 3.295