Assignment: Political Models Of Policy Analysis

Assignment: Political Models Of Policy Analysis
Assignment: Political Models Of Policy Analysis
Compare and contrast the rational and political models of policy analysis. Debate the advantages of the model that you believe is most influential in policymaking. Support your rationale with two (2) specific examples of your chosen model’s influence.
Suppose you are a health policy analyst for a government contracting agency that a local hospital has hired to complete a policy analysis. From the third e-Activity and your textbook, formulate the problem statement for one (1) of your chosen health policies. Then, outline two (2) additional key steps in the development of a policy analysis for your client.The current findings have implications for primary pre- vention, assessment, and case management of patients with mental illness and offer preliminary evidence to support multidisciplinary psychosocial assessment and interventions. Interventions could be more targeted, with greater service level collaborations to reach out to those with mental illness, e.g., mental health services, job agencies, counselling and drug and alcohol services. Consistent with previous research, preventive programs could be based on the detection of mul- tidimensional psychosocial risk factors associated with both suicide and mental illness [53]. In addition, routine suicide assessment could be incorporated in case management of those with mental illness, and suicide assessments could also include routine screening of mental illness. Psychoeducation, screening, and interventions for mental health promotion could be encouraged in those with family history of mental illness or suicide. Counselling and crisis interventions could be targeted towards coping and positive future planning, in patients with mental illness. Such strategies focusing on problem solving skills are consistent with interventions sug- gested by previous Asian literature for suicide prevention [54].Limitations to the study included the following: a lack of a control group limited how the data could be inter- preted. Future research could compare data between suicide attempters with mental illness, suicide attempters without mental illness, and matched healthy controls for better interpretation of data. It is difficult to ascertain causality in cross sectional research. A longitudinal methodology could enhance our interpretation of the contribution of patterns of risk and protective factors across time. In addition, the contribution of ethnicity, migration status, and gender was unclear. There was indication from previous research these variables needed to be taken into account [25, 26]. However, the information on migration status was not collected in this study, future research could employ in-depth interviews to elicit the intricate interplay among these factors. Recent research has also suggested that suicide intent is an important variable [25]; although this is not the focus of the current study, intent could be a confounding variable, which could limit the generalizability of our results. Lastly, 209 cases were removed from the data set because of missing data on key variables, which might result in a biased sample for the current study. Similarly, this imposed a constraint on the generalizability of the results.