The pilot study of a @entity66 program for XXXX .

@entity1 @entity308 @entity66
Most @entity308 @entity1 are seen and treated exclusively by primary care clinicians. However, primary care @entity1 with @entity308 are often not adequately treated. The aims of this pilot study were to measure the impact of a @entity66 program on @entity1 outcome and clinician adherence to practice guidelines, measure the relationship of clinician adherence to @entity1 outcome, and explore the measurement of @entity1 adherence to clinician recommendations and its impact on @entity1 outcomes. Thirty-five primary care practices in the University of Pennsylvania Health System were randomized to @entity66 ( @entity66 ) or "usual care" (UC). All @entity1 received a baseline and a 16-week follow-up clinical evaluation performed over the telephone. Those from @entity66 practices also received follow-up contact at least every 3 weeks, with formal evaluations at weeks 6 and 12. These interval contacts were designed to facilitate @entity1 and clinician adherence to a treatment algorithm based on the Agency for Health Research and Quality (AHRQ) practice guidelines. @entity308 symptoms evaluated with the Community Epidemiologic Survey of @entity308 (CES-D) scale as well as guideline adherence were the primary outcome measures. Sixty-one @entity1 were enrolled in this pilot project. The overall effect for CES-D scores over time was significant, (P <.001), indicating that those participating in the trial (both @entity66 and UC groups) showed significant improvement. The interaction between intervention condition and time was also significant (P <.05), indicating that @entity66 @entity1 improved significantly more over time than did UC @entity1 . A greater proportion of @entity66 @entity1 had CES-D scores <16 by Week 16 (66.7 versus 33.3%; chi(2), P <.05). The improvement in @entity308 outcome for the @entity66 group was related to its impact on improving clinician adherence to @entity308 treatment algorithms. The @entity66 pilot did not show a statistically significant effect on improving @entity1 adherence to clinician recommendations, however. This preliminary data suggests that @entity66 for @entity308 improves both clinician guideline adherence and @entity1 outcomes in the acute phase of @entity308 . The effect on @entity1 outcome is at least partially explained by the effect of @entity66 on clinician adherence to @entity308 treatment algorithms.
