The authors conducted a large-scale survey about health care twice, once as a web and once as a random digit dialing (RDD) phone survey. The web survey used a statistical technique, propensity scoring, to adjust for selection bias. Comparing the weighted responses from both surveys, there were no significant response differences in 8 of 37 questions. Web survey responses were significantly more likely to agree with RDD responses when the question asked about the respondent’s personal health (9 times more likely), was a factual question (9 times more likely), and only had two as opposed to multiple response categories (17 times more likely). For three questions, significant differences turned insignificant when adjacent categories of multicategory questions were combined. Factual questions tended to also be questions with two rather than multiple response categories. More study is needed to isolate the effects of these two factors more clearly.

The Centre for Vocational Education Research (CVER) is an independent research centre funded by the UK Department for Education (DfE). CVER brings together four partners: the

Model information systems can be designed using existing public information, but the information needs to be enhanced with improved data.

No abstract

Since the introduction of the Medicare Nursing Home Compare website in 1999, some states have begun to develop their own websites to help consumers compare nursing facilities (NFs). This article presents a brief conceptual framework for the type of information needed for an Internet-based information system and analyzes existing federal and state NF websites, using data collected from a survey completed in 2002. Twenty-four states and the District of Columbia have a variety of information on NFs, similar to the information on the Medicare website. Information on characteristics and deficiencies of a facility is the most commonly available, but a few states have data on ownership, staffing indicators, quality indicators, complaints, and enforcement actions. Other types of data, such as resident characteristics, staff turnover rates, and financial indicators, are generally not available. Although many states are making progress toward providing consumers with information, there are gaps that exist, which if filled, could provide consumers with a better tool for facility selection and monitoring the quality of care.