Key Factors that Directly Influence the Problem
The factors that directly relate to the problem are total readmissions, total unplanned readmission, and average readmissions per unit per month (Upadhyay et al., 2019)
| The factor that Directly Relates to the Problem | Precise Unit of Measurement (Days, Dollars, %, etc.) | Authoritative Source(s) for Factor and Unit of Measurement |
| Total unplanned readmissions | The number of patients readmitted to the facility unplanned | Phillips et al.(2020) |
| Total readmissions | The total number of patients readmitted to the psychiatry units | Phillips et al.(2020) |
| Average readmissions per unit per month | Number of readmissions calculated as monthly averages | Phillips et al.(2020) |
Value Proposition to the Organization
The project will aim at reducing the rates of readmission among patients with mental health issues by analyzing the data trends to reveal the organizational causes.
Value Proposition/Contribution to My Professional Interests/Goals
The project will help develop my data analysis skills for quality improvement in various care settings.
Background: Review of the Literature
| Authoritative Source (APA Format) | How the Source Directly Relates to the Problem (One-Sentence Summary) |
| Lassemo, E., Myklebust, L. H., Salazzari, D., & Kalseth, J. (2021). Psychiatric readmission rates in a multi-level mental health care system–a descriptive population cohort study. BMC Health Services Research, 21(1), 1-15. https://doi.org/10.1186/s12913-021-06391-7 | This source shows that the problem of hospital readmission exists globally and at different rates. |
| Phillips, M. S., Steelesmith, D. L., Campo, J. V., Pradhan, T., & Fontanella, C. A. (2020). Factors associated with multiple psychiatric readmissions for youth with mood disorders. Journal of the American Academy of Child & Adolescent Psychiatry, 59(5), 619-631. https://doi.org/10.1016/j.jaac.2019.05.024. | Explores factors connected with psychiatric readmissions and units of measurement. |
| Kim, B., Weatherly, C., Wolk, C. B., & Proctor, E. K. (2019). Measurement of unnecessary psychiatric readmissions: a scoping review protocol. BMJ Open, 9(7), e030696. http://dx.doi.org/10.1136/bmjopen-2019-030696 | This source analyzes the ethical consideration around psychiatric readmissions, such as unnecessary readmissions. |
| Benjenk, I., & Chen, J. (2018). Effective mental health interventions to reduce hospital readmission rates: a systematic review. Journal of Hospital Management and Health Policy, 2. https://doi.org/10.1016/j.jaac.2019.05.024 | This source highlights the existence of the problem and some strategies to reduce it. |
| Morel, D., Kalvin, C. Y., Liu-Ferrara, A., Caceres-Suriel, A. J., Kurtz, S. G., & Tabak, Y. P. (2020). Predicting hospital readmission in patients with mental or substance use disorders: a machine learning approach. International Journal of Medical Informatics, 139, 104136. https://doi.org/10.1016/j.ijmedinf.2020.104136 | The source also indicates that the problem is common and discusses ways of predicting hospital readmissions. |
| Edgcomb, J. B., Sorter, M., Lorberg, B., & Zima, B. T. (2020). Psychiatric readmission of children and adolescents: a systematic review and meta-analysis. Psychiatric Services
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