Masterarbeit, 2004
73 Seiten, Note: 74/100 Grade A - First Class
CHAPTER 1: Traditional care delivery models and chronic disease management
1.1. Chronic diseases and the challenge to health systems
1.2. The specific case of Diabetes Disease
1.3. Limitations in the care delivery model
1.4. Bottlenecks in the care pathway
1.5. The need for rethinking
1.6. New expectations and requirements
1.7. A new variable in the equation: enabling technology
1.8. The research issue: Clinical value and economical benefits
1.9. Motivation for the research study
1.10. Aims, objectives and outline of the research study
CHAPTER 2: Literature Review
2.1. Focus of the literature review
2.2. The framework for chronic care management in diabetes condition
2.3. The conventional care delivery and care pathway
2.5. Failing to deliver clinical and economical outcomes
2.6. Variables associated to the limitations
2.7. The search for solutions
2.8. The potential of enabling telemedicine equipment
2.9. Telemedicine and Telemonitoring in Diabetes Care
2.9.1. Impacts on the clinical side
2.9.2. Impacts on the economical side
2.10. Bringing together clinical and economical effects
2.11. Extrapolation for the research perspective
3. CHAPTER 3: Methods
3.1. The Research Perspective
3.2. Reasons to choose the case study approach
3.3. System analysis
3.4. The telemedicine equipment and inbuilt functionalities
3.5. Cost-estimation of identified variables in the care pathways
3.6. Cost benefit and microsimulation modeling
4. CHAPTER 4: Results
4.1. The elements of the care delivery model
4.2. Care pathway and conventional care delivery model
4.3. Assessing the telemedicine equipment
4.4. The results produced by the case study
4.5. Telemedicine in the conventional care delivery model
4.6. Costing data on the conventional and telemedicine care pathways
4.7. Extrapolation of costs and transfer on a simulation model
4.8. The findings
5. CHAPTER 5: Conclusions, lessons Learnt, Recommandations
5.1. Summary and conclusions of the research undertaken
5.2. Research work for the future
5.3. Recommendations
The primary aim of this dissertation is to evaluate whether the management of unstable type II diabetes patients can be optimized through telemedicine. By comparing conventional and telemonitoring-driven care pathways, the study seeks to determine the breakeven point for cost-benefit relationships and identify which patient profiles benefit most from technology-supported care.
1.2. The specific case of Diabetes Disease
According to Robert Beaglehole (WHO 2004) “diabetes is a growing and massive silent epidemic that has the potential to cripple health services in all parts of the world.” The quality of life reducing as well as cost-driving nature of Diabetes Mellitus disease (Appendix A: What is Diabetes disease type 2) has been shown by many studies and statistics. (WHO 2002, The Oxford Centre for Diabetes, The DCCT Research Group 1993, CDC 2004 and WrongDiagnosis.com) The Centre for disease control and prevention (2004) has evaluated the yearly average health care costs generated by a diabetic patient at 12500 USD as compared to the 2500 USD for the average US health care patient. These figures show that the complex illness of diabetes is, on the one hand, affecting an overall high number of people and is for that matter a public health issue of extent, while also being related to a high cost service patterns, based on evolving patient needs as complications emerge and progress and multiply. (CDC 2004, Kinsella 2003). For Wagner (2004) Diabetes is ‘the single greatest challenge facing organised medical practice.’ More generally also ‘more and more pressure has been exerted by third party payers to demonstrate the effectiveness of home care services through improvement in patient outcomes’. (Kinsella 2003: page xiii)
CHAPTER 1: Traditional care delivery models and chronic disease management: This chapter establishes the challenge of chronic diseases, specifically diabetes, and highlights the limitations of current reactive care models.
CHAPTER 2: Literature Review: Provides an overview of existing research on telemedicine and ICTs in diabetes care, focusing on clinical and economical outcomes and the need for process reengineering.
CHAPTER 3: Methods: Describes the methodology, focusing on the use of an in-depth case study and system analysis to gather input data for a microsimulation model.
CHAPTER 4: Results: Presents the findings from the case study, including the dissection of the care delivery model and the cost-comparison between conventional and telemedicine pathways.
CHAPTER 5: Conclusions, lessons Learnt, Recommandations: Summarizes the research results, acknowledges study limitations, and provides recommendations for future research in chronic disease management.
Telemedicine, Diabetes Mellitus, Telemonitoring, Chronic Disease Management, Care Pathway, Cost-Benefit Analysis, Microsimulation, Healthcare Technology, Primary Care, Proactive Care, Clinical Outcomes, Cost Estimation, Resource Allocation, Patient Profiling, eHealth
The research focuses on evaluating the effectiveness of telemonitoring in the management of type II diabetes, specifically examining how it influences care pathways and long-term cost-benefit relationships.
The study spans health informatics, chronic disease management, healthcare economics, and the reengineering of clinical care delivery processes.
The objective is to identify if and how telemedicine can transition diabetes care from a reactive, curative model to a proactive, preventative one while ensuring economic viability.
The study employs a case study approach for data collection, system analysis to map workflows, and a microsimulation model to evaluate cost-effectiveness.
The main body examines current care limitations, the implementation of telemonitoring equipment, workload assessment metrics, and a comparative analysis of conventional versus telemedicine-enabled care paths.
The study is characterized by terms such as Telemedicine, Diabetes Care, Microsimulation, Cost-Benefit Analysis, and Care Pathway Reengineering.
The breakeven point is the specific time frame in the patient's care duration where the initial, higher costs of telemedicine equipment are offset by the savings gained from reduced interventions and avoided hospitalizations.
No, the study emphasizes that its findings are based on a specific case scenario and are not meant to be generalized, but rather serve as a basis for further, more generic research models.
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