Topic 8 DQ 1 -Role of Statistics in Public Health

Topic 8 DQ 1 -Role of Statistics in 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).

References

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