Illness management and recovery in community practice

Objective To examine provider competence in providing Illness Management and Recovery (IMR), an evidence-based self-management program for people with severe mental illness, and the association between implementation supports and IMR competence. Methods IMR session recordings, provided by 43 providers/provider pairs, were analyzed for IMR competence using the IMR treatment integrity scale. Providers also reported on receipt of commonly available implementation supports (e.g., training, consultation). Results Average IMR competence scores were in the “Needs Improvement” range. Clinicians demonstrated low competence in several IMR elements: significant other involvement, weekly action planning, action plan follow-up, cognitive-behavioral techniques, and behavioral tailoring for medication management. These elements were commonly absent from IMR sessions. Competence in motivational enhancement strategies and cognitive-behavioral techniques differed based on the module topic covered in a session. Generally, receipt of implementation supports was not associated with increased competence; however, motivational interviewing training was associated with increased competence in action planning and review. Conclusions and Implications for Practice IMR, as implemented in the community, may lack adequate competence and commonly available implementation supports do not appear to be adequate. Additional implementation supports that target clinician growth areas are needed

Absence of a specific radiation signature in post-Chernobyl thyroid cancers

Thyroid cancers have been the main medical consequence of the Chernobyl accident. On the basis of their pathological features and of the fact that a large proportion of them demonstrate RET-PTC translocations, these cancers are considered as similar to classical sporadic papillary carcinomas, although molecular alterations differ between both tumours. We analysed gene expression in post-Chernobyl cancers, sporadic papillary carcinomas and compared to autonomous adenomas used as controls. Unsupervised clustering of these data did not distinguish between the cancers, but separates both cancers from adenomas. No gene signature separating sporadic from post-Chernobyl PTC (chPTC) could be found using supervised and unsupervised classification methods although such a signature is demonstrated for cancers and adenomas. Furthermore, we demonstrate that pooled RNA from sporadic and chPTC are as strongly correlated as two independent sporadic PTC pools, one from Europe, one from the US involving patients not exposed to Chernobyl radiations. This result relies on cDNA and Affymetrix microarrays. Thus, platform-specific artifacts are controlled for. Our findings suggest the absence of a radiation fingerprint in the chPTC and support the concept that post-Chernobyl cancer data, for which the cancer-causing event and its date are known, are a unique source of information to study naturally occurring papillary carcinomas