This article describes the use of the policy Delphi method in building consensus for public policy and proposes a technique for measuring the degree of consensus. The policy Delphi method is a systematic method for obtaining, exchanging, and developing informed opinion on an issue. It can be used to develop consensus either for or against policy issues. The method includes a multistage process involving the initial measurement of opinions (first stage), followed by data analysis, design of a new questionnaire, and a second measurement of opinions (second stage). The interquartile deviation is presented as one way of measuring consensus, and the McNemar test is described as a way to quantify the degree of shift in responses from the first to second stage. The application of the method is illustrated by a case example from a study of state legislators’ views on tobacco policy.
Background-Depressive symptoms and anxiety are common in heart failure patients as well as their spousal caregivers. However, it is not known whether their emotional distress contributes to their partner's quality of life (QoL). This study examined the effect of patients' and partners' depressive symptoms and anxiety on quality of life in patient-spouse dyads using an innovative dyadic analysis technique, the Actor-Partner Interdependence Model (APIM).
The Center for Epidemiologic Studies-Depression Scale (CES-D; L. S. Radloff, 1977) assesses the presence and severity of depressive symptoms occurring over the past week. Although it contains only 20 items, its length may preclude its use in a variety of clinical populations. This study evaluated psychometric properties of 2 shorter forms of the CES-D developed by F. J. Kohout, L. F. Berkman, D. A. Evans, and J. Cornoni-Huntley (1993): the Iowa form and the Boston form. Data were pooled from 832 women representing 6 populations. Internal consistency estimates, correlations with the original version of the CES-D, and omitted-included item correlations supported use of the Iowa form over the Boston form when a shortened version of the scale is desired. Regression statistics are provided for use in estimating scores on the original CES-D when either shortened form is used. Factor analytic results from two populations support a single-factor structure for the original CES-D as well as the short forms.
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