Classmate Response (1): Topic 8 DQ 1 -Role of Statistics in Public Health
QUESTION-Refer back to your response to Topic 1 DQ 1: “Statistics is an important component of public health. Explain the relevance of statistics in the planning, implementation and evaluation of a health promotion intervention. How do you envision using statistics in your current or future career?” After completing the course, how has your vision changed regarding the role statistics will have in your current or future career?
As we are towards the end of this course, my vision has changed regarding the role of statistics have in my future career as there are so many components of suing codes and implementing the data a certain way. It opened up more ways for me to utilize statistics in Mental Health. It honestly solidifies that this is a required skill to ensure the best exposure of public health programs-specifically mental health. In my initial post for topic 1, I have said that Statistics give us an approach to do this more systematically and accurately (Population Health Assessment 2021). There are the business components of the certifications of opening up a facility but the specific components require statistics. I would need to figure out the population that needs mental health resources or in the specific community and the lack of. I would also need to do research on how the other mental health resources at different facilities are, what did not work at that facility and how I could avoid any issues that has already occurred at other facilities in the community.
As we are towards the end of this course, my vision has changed regarding the role of statistics have in my future career as there are so many components of suing codes and implementing the data a certain way. It opened up more ways for me to utilize statistics in Mental Health. It honestly solidifies that this is a required skill to ensure the best exposure of public health programs-specifically mental health. This class has just made me gear towards the right step towards a success in opening my own behavioral hospital one day.
Population Health Assessment. (n.d.). Basic statistics for public health. Population Health Assessment. Retrieved September 12, 2021, from https://phesc.ca-central.catalog.canvaslms.com/browse/pha/courses/basic-statistics-for-public-health.
This course has changed the way I viewed application of statistics in mental health and has opened may thinking to various ways that I can utilize statistics to improve mental health care. Some of the ways statistics can be applied include determining the likelihood of service utilization in the community. When providing mental health care, it is essential to establish market characteristics such as sex, income, age, and race of the group to determine which services will be most appropriate, statistics can be utilized to provide this information. Statistics are crucial when analyzing the existing market; I can use statistics to determine the trends in mental health practice, and also to learn about the industry for example what has previously worked in communities similar to the one I will be serving and what has failed (Dhaka & Johari, 2016). This will help to avoid wastage of resources and time. Statistics are also important in determining the prevalence of mental conditions in a community, how the disease manifests and people that most affected by specific. These statistics are important in determining the diagnosis and to provide to meet the challenges the community experiences. Statistics are also important in determine the effectiveness of the intervention, by reviewing patient treatment history I can be able to easily determine whether an intervention works or not and therefore make the necessary adjustment to improve the services provided. When planning and implementing mental health intervention, statistics play a crucial role in determining how to design the promotion activities, the language to use and communication channels. Different population segments prefer different promotional strategies and statistics can be used to obtain information about the demographics of the community (Peterson et al., 2019).
Dhaka, P., & Johari, R. (2016, March). Big data application: Study and archival of mental health data, using MongoDB. In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) (pp. 3228-3232). IEEE. https://ieeexplore.ieee.org/abstract/document/7755300
Petersen, K. J., Qualter, P., & Humphrey, N. (2019). The application of latent class analysis for investigating population child mental health: A systematic review. Frontiers in psychology, 10, 1214. https://www.frontiersin.org/articles/10.3389/fpsyg.2019.01214/full