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Health systems are known for being complex. Yet, there is a paucity of evidence about programs that successfully develop competent frontline managers to navigate these complex systems. There is even less evidence about developing frontline managers in areas of contextual complexity such as geographically remote and isolated health services. This study used a customised management development program containing continuous quality improvement (CQI) approaches to determine whether additional levels of evaluation could provide evidence for program impact. Generalisability is limited by the small sample size; however, the findings suggest that continuous improvement approaches, such as action learning workplace-based CQI projects not only provide for real-world application of the manager's learning; they can potentially produce the type of data needed to conduct evaluations for organisational impact and cost-benefits. The case study contributes to the literature in an area where there is a scarcity of empirical research. Further, this study proposes a pragmatic method for using CQI approaches with existing management development programs to generate the type of data needed for multi-level evaluation.
This article was published in the following journal.
Name: Evaluation and program planning
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Management control systems for structuring health care delivery strategies around case types, as in DRGs, or specific clinical services.
A traditional term for all the activities which a physician or other health care professional normally performs to insure the coordination of the medical services required by a patient. It also, when used in connection with managed care, covers all the activities of evaluating the patient, planning treatment, referral, and follow-up so that care is continuous and comprehensive and payment for the care is obtained. (From Slee & Slee, Health Care Terms, 2nd ed)
Clinical, therapeutic and diagnostic approaches to optimal disease management based on individual variations in a patient's genetic profile.
Comparison of outcomes, results, responses, etc for different techniques, therapeutic approaches or other inputs.
Collection, analysis, and interpretation of data about the frequency, distribution, and consequences of disease or health conditions, for use in the planning, implementing, and evaluating public health programs.