Cost-Benefit Analysis of Mobile App for Type 2 Diabetes Management

This project analyzes the cost-effectiveness of a mobile application program for managing type 2 diabetes in adults aged 40-65, comparing it to a standard ADA diet. The assignment involves a cost-benefit analysis, considering both systems and induced costs associated with mobile app development, implementation, and patient education. The project aims to determine the impact of the mobile app on reducing blood glucose levels and A1c over a three-month period. The analysis includes staffing, equipment, training, and other costs, and is presented with a clear connection to the project's goals and best practices in cost-effectiveness analysis. The project emphasizes the importance of tailored and patient-centered care, and highlights the potential of mobile applications to improve diabetes management through self-monitoring and education. The project also references relevant literature, including studies on the efficacy of mobile apps in diabetes care and the importance of clinical evidence to support their use.

Running head: COST ANALYSIS
Cost Analysis of Evidence Base Project
Name of the Student
Name of the University
Author Note

COST ANALYSIS
Cost Analysis of Evidence Base Project

COST ANALYSIS
Self-monitoring and education of the patients suffering from diabetes is one of the
most critical aspect of the diabetes management and treatment plan. Tailored and patient
centered care delivery can be essentially achieved with the help of mobile based applications.
Mobile application can fulfill one of the most vital component of the diabetes, which is
glucose monitoring. Cost associated with the development of mobile application, its
implementation and other significant intermediates needs to be analysed to determine the
efficacy of the project in financial aspect. Two different categories of costs can be identified
with this particular project, which are systems costs and induced cost.

COST ANALYSIS
To create quality portable applications, neighborhood specialists, universal wellbeing
experts, or associations ought to be included when receiving proof based rules into their
diabetes care. For example, it has been indicated that patients with diabetes utilizing a
versatile programming which was structured by endocrinologists, accomplished measurably
critical upgrades in hemoglobin A1c level (Fleming et al., 2020). Consequently, it is critical
to survey the clinical result and adequacy of web based life or clinical applications to
guarantee their unwavering quality and selection as a helpful apparatus in diabetes self-
administration. Near or randomized control contemplates are required to set up clinical proof
of fruitful patient commitment and money saving advantages of portable clinical applications
utilized in patients with diabetes. In the mean time, purposes of care ought to remember an
acquaintance for how with join valuable portable applications in overseeing diabetes in
patients. The portable applications are instructive and useful as well as ought to be
deliberately intended to help and encourage self-administration, for the expected clients, who
are generally old (Bonoto et al., 2017). Furthermore, patients' adherence can be improved by
actualizing techniques of self-checking which work best for gatherings of patients with a
particular disease. Clinical choice help cautions and updates can diminish usage by
diminishing unfavorable medication errors, offering options to costly drugs, and decreasing
the utilization of research facility and radiology tests (Izahar et al., 2017). The master board
agreement was that antagonistic medication errors would be decreased by roughly 34%
(territory, 10% to 70%) as a aftereffect of fundamental medicine choice help. Improve access
to wellbeing administrations, assist installments to suppliers and wellbeing administrations,
and diminish money based working expenses (Iribarren et al., 2017).

COST ANALYSIS
References
Bonoto, B. C., de Araújo, V. E., Godói, I. P., de Lemos, L. L. P., Godman, B., Bennie, M., ...
& Junior, A. A. G. (2017). Efficacy of mobile apps to support the care of patients with
diabetes mellitus: a systematic review and meta-analysis of randomized controlled
trials. JMIR mHealth and uHealth, 5(3), e4.
Fleming, G. A., Petrie, J. R., Bergenstal, R. M., Holl, R. W., Peters, A. L., & Heinemann, L.
(2020). Diabetes digital app technology: benefits, challenges, and recommendations.
A consensus report by the European Association for the Study of Diabetes (EASD)
and the American Diabetes Association (ADA) Diabetes Technology Working
Group. Diabetes care, 43(1), 250-260.
Iribarren, S. J., Cato, K., Falzon, L., & Stone, P. W. (2017). What is the economic evidence
for mHealth? A systematic review of economic evaluations of mHealth
solutions. PloS one, 12(2).
Izahar, S., Lean, Q. Y., Hameed, M. A., Murugiah, M. K., Patel, R. P., Al-Worafi, Y. M., ...
& Ming, L. C. (2017). Content analysis of mobile health applications on diabetes
mellitus. Frontiers in endocrinology, 8, 318.