Background: The purpose of this study was to identify the effects of Collaborative Care on rural Native American and Alaska Native (AI/AN) patients. Methods: Collaborative Care was implemented in three AI/AN serving clinics. Clinic staff participated in training and coaching designed to facilitate practice change. We followed clinics for 2 years to observe improvements in depression treatment and to examine treatment outcomes for enrolled patients. Collaborative Care elements included universal screening for depression, evidence-based treatment to target, use of behavioral health care managers to deliver the intervention, use of psychiatric consultants to provide caseload consultation, and quality improvement tracking to improve and maintain outcomes. We used t-tests to evaluate the main effects of Collaborative Care and used multiple linear regression to better understand the predictors of success. We also collected qualitative data from members of the Collaborative Care clinical team about their experience. Results: The clinics participated in training and practice coaching to implement Collaborative Care for depressed patients. Depression response (50% or greater reduction in depression symptoms as measured by the PHQ-9) and remission (PHQ-9 score less than 5) rates were equivalent in AI/AN patients as compared with White patients in the same clinics. Significant predictors of positive treatment outcome include only one depression treatment episodes during the study and more follow-up visits per patient. Clinicians were overall positive about their experience and the effect on patient care in their clinic. Conclusions: This project showed that it is possible to deliver Collaborative Care to AI/AN patients via primary care settings in rural areas.
Genetics is increasingly becoming a part of modern medical practice. How people think about genetics' use in medicine and their daily lives is therefore essential. Earlier studies indicated mixed attitudes about genetics. However, this might be changing. Using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) as a guideline, we initially reviewed 442 articles that looked at awareness, attitudes, knowledge, and perception of risks among the general and targeted recruitment populations. After fitting our criteria (from the last 5 years, conducted in the USA, non-provider populations, quantitative results reported, and assessed participants 18 years and older), finally 51 eligible articles were thematically coded and presented in this paper. Awareness is reported as relatively high in the studies reviewed. Attitudes are mixed but with higher proportions reporting positive attitudes towards genetic testing and counseling. Self-reported knowledge is reasonably high, specifically with the effects of specific programs developed to raise knowledge levels of the general and targeted recruited populations. Perception of risk is somewhat aligned with actual risk. With the reasonable positive reports of genetic awareness and knowledge, there is similar positive attitude and perception of risk, supporting the need for continued dissemination of such knowledge. Given interest in incorporating community participation in genomic educational strategies, we provide this review as a baseline from which to launch community-specific educational supports and tools.
Background The Collaborative Care Model is a well-established, evidence-based approach to treating depression and other common behavioral health conditions in primary care settings. Despite a robust evidence base, real world implementation of Collaborative Care has been limited and very slow. The goal of this analysis is to better describe and understand the progression of implementation in the largest state-led Collaborative Care program in the nation—the New York State Collaborative Care Medicaid Program. Data are presented using the RE-AIM model, examining the proportion of clinics in each of the model’s five steps from 2014 to 2019. Methods We used the RE-AIM model to shape our data presentation, focusing on the proportion of clinics moving into each of the five steps of this model over the years of implementation. Data sources included: a New York State Office of Mental Health clinic tracking database, billing applications, quarterly reports, and Medicaid claims. Results A total of 84% of clinics with which OMH had an initial contact [n = 611clinics (377 FQHCs and 234 non-FQHCs)] received some form of training and technical assistance. Of those, 51% went on to complete a billing application, 41% reported quarterly data at least once, and 20% were able to successfully bill Medicaid. Of clinics that reported data prior to the first quarter of 2019, 79% (n = 130) maintained Collaborative Care for 1 year or more. The receipt of any training and technical assistance was significantly associated with our implementation indices: (completed billing application, data reporting, billing Medicaid, and maintaining Collaborative Care). The average percent of patient improvement for depression and anxiety across 155 clinics that had at least one quarter of data was 44.81%. Training and technical assistance source (Office of Mental Health, another source, or both) and intensity (high/low) were significantly related to implementation indices and were observed in FQHC versus non-FQHC samples. Conclusions Offering Collaborative Care training and technical assistance, particularly high intensity training and technical assistance, increases the likelihood of implementation. Other state-wide organizations might consider the provision of training and technical assistance when assisting clinics to implement Collaborative Care.
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