Fostering Sustainable Collaboration within Indigenous Communities through Community Based Participatory Research

Fostering Sustainable Collaboration within Indigenous Communities through Community Based Participatory Research It is essential to support Indigenous children’s well-being in culturally responsive ways. One important approach is to collaborate with members of the community who understand the strengths of their culture, values, and language to support their children, particularly in Montana, where the rates of Native American students attempting suicide were nearly double that of their White peers (Youth Risk Behavior Survey, 2019). In this paper, we introduce community based participatory research (CBPR) and its importance in Indigenous communities, particularly for research addressing children’s mental health. In CBPR, researchers actively engage with the community, as members provide guidance and knowledge towards a solution (Walters et al., 2008). Within indigenous communities, CBPR plays a fundamental role in cultural resurgence. Tribal nations utilize self-determination to combine Indigenous knowledge and ways of being with Western research (Atalay, 2012). CBPR connects research to community sustainability by focusing on collaboration, and developing partnerships that build sustainable community models for positive change, which can help decolonize research. In CBPR, researchers create meaningful relationships with members of the community, which allow them to build trust in order to foster the relationships important for social change (Tobias, et. al., 2013). Researchers must recognize that the process will be more interactive and prolonged, yet essential to effectively provide culturally responsive programs to support Indigenous youth. In order to partner with communities to address children’s mental health, researchers should: (1) recognize privilege and empathize with the community’s struggles, (2) respect the other view, (3) acknowledge community strengths, (4) allow both parties to share ideas openly, and (5) integrate traditional views (Walters, et. al., 2008). CBPR is beneficial for children’s mental health, as it bridges their culture to the research that affects their future

The impact of frailty on healthcare utilisation in Ireland: evidence from the Irish longitudinal study on ageing

Introduction: To examine the impact of frailty on medical and social care utilisation among the Irish community-dwelling older population to inform strategies of integrated care for older people with complex needs. Methods: Participants aged >= 65 years from the Irish Longitudinal Study on Ageing (TILDA) representative of the Irish community-dwelling older population were analysed (n = 3507). The frailty index was used to examine patterns of utilisation across medical and social care services. Multivariate logistic and negative binomial regression models were employed to examine the impact of frailty on service utilisation outcomes after controlling for other factors. Results: The prevalence of frailty and pre-frailty was 24% (95% CI: 23, 26%) and 45% (95% CI: 43, 47%) respectively. Frailty was a significant predictor of utilisation of most social care and medical care services after controlling for the main correlates of frailty and observed individual effects. Conclusions: Frailty predicts utilisation of many different types of healthcare services rendering it a useful risk stratification tool for targeting strategies of integrated care. The pattern of care is predominantly medical as few of the frail older population use social care prompting questions about sub-groups of the frail older population with unmet care needs

Determination of the Form Factors for the Decay B0 --> D*-l+nu_l and of the CKM Matrix Element |Vcb|

We present a combined measurement of the Cabibbo-Kobayashi-Maskawa matrix element $|V_{cb}|$ and of the parameters $\rho^2$, $R_1$, and $R_2$, which fully characterize the form factors of the $B^0 \to D^{*-}\ell^{+}\nu_\ell$ decay in the framework of HQET, based on a sample of about 52,800 $B^0 \to D^{*-}\ell^{+}\nu_\ell$ decays recorded by the BABAR detector. The kinematical information of the fully reconstructed decay is used to extract the following values for the parameters (where the first errors are statistical and the second systematic): $\rho^2 = 1.156 \pm 0.094 \pm 0.028$, $R_1 = 1.329 \pm 0.131 \pm 0.044$, $R_2 = 0.859 \pm 0.077 \pm 0.022$, $\mathcal{F}(1)|V_{cb}| = (35.03 \pm 0.39 \pm 1.15) \times 10^{-3}$. By combining these measurements with the previous BABAR measurements of the form factors which employs a different technique on a partial sample of the data, we improve the statistical accuracy of the measurement, obtaining: $\rho^2 = 1.179 \pm 0.048 \pm 0.028, R_1 = 1.417 \pm 0.061 \pm 0.044, R_2 = 0.836 \pm 0.037 \pm 0.022,$ and $\mathcal{F}(1)|V_{cb}| = (34.68 \pm 0.32 \pm 1.15) \times 10^{-3}.$ Using the lattice calculations for the axial form factor $\mathcal{F}(1)$, we extract $|V_{cb}| =(37.74 \pm 0.35 \pm 1.25 \pm ^{1.23}_{1.44}) \times 10^{-3}$, where the third error is due to the uncertainty in $\mathcal{F}(1)$