The development of a streamlined, coordinated and sustainable evaluation methodology for a diverse chronic disease management program

2010 ◽  
Vol 34 (2) ◽  
pp. 148 ◽  
Author(s):  
David J. Berlowitz ◽  
Marnie Graco

Background. The Northern Alliance Hospital Admission Risk Program–Chronic Disease Management comprises 13 services delivering care to those with chronic disease and older people with complex care needs, who are frequent hospital users. Aims. To develop and implement a system-wide approach to the evaluation of this existing program. Methods. The Northern Clinical Research Centre audited all existing, routinely collected administrative data within the program and then met with each service to develop service specific outcome measures. The evaluators then developed and implemented a system-wide evaluation approach to measure performance in terms of: client profile; access and entry; service efficiency; client outcomes; and hospital demand. Results. Data are collected electronically and more than 80% are derived from existing, administrative datasets, minimising staff and client burden. Additional data include client outcomes and a health related quality of life measure. The preliminary twelve month data suggest that clients have the equivalent of ‘fair’ or ‘poor’ self-reported health status (n = 862) and the average health utility scores are significantly (P < 0.05) worse than population control data. These analyses reveal, for the first time, that the Northern Alliance Hospital Admission Risk Program–Chronic Disease Management program is targeting appropriate clients. Discussion. This methodology will enable many prospective assessments to be performed including; client outcome evaluation, service model comparisons, and cost-utility analyses. Conclusion. This evaluation approach demonstrates the feasibility of a highly coordinated ‘whole of system’ evaluation. Such an approach may ultimately contribute to the development of evidence-based policy. What is known about the topic? Program evaluation literature recommends establishing the objectives of a program, and the corresponding evaluation methodology early in the planning phase so that a thorough evaluation can commence with the implementation of the program. What does this paper add? This paper provides an alternative evaluation methodology developed around the available administrative data, thereby maximising efficiency with data collection and analysis with minimal burden on clinicians. This pragmatic approach may be appropriate for large, ongoing programs with an existing administrative dataset and where funding for evaluation is limited. What are the implications for practitioners? This paper has implications for both administrators and clinicians. The methodology is designed to facilitate evidence-based policy and planning at a regional and state level, and to assist with quality improvement at the local service level through ongoing performance monitoring and benchmarking.

2008 ◽  
Vol 27 (3) ◽  
pp. 855-864 ◽  
Author(s):  
Ann M. Holmes ◽  
Ronald D. Ackermann ◽  
Alan J. Zillich ◽  
Barry P. Katz ◽  
Stephen M. Downs ◽  
...  

2014 ◽  
Vol 41 (11) ◽  
pp. 2223-2231 ◽  
Author(s):  
Jillian P. Eyles ◽  
Barbara R. Lucas ◽  
Jillian A. Patterson ◽  
Matthew J. Williams ◽  
Kate Weeks ◽  
...  

Objective.To identify baseline characteristics of participants who will respond favorably following 6 months of participation in a chronic disease management program for hip and knee osteoarthritis (OA).Methods.This prospective cohort study assessed 559 participants at baseline and following 6 months of participation in the Osteoarthritis Chronic Care Program. Response was defined as the minimal clinically important difference of an 18% and 9-point absolute improvement in the Western Ontario and McMaster Universities Arthritis Index global score. Multivariate logistic regression modeling was used to identify predictors of response.Results.Complete data were available for 308 participants. Those who withdrew within the study period were imputed as nonresponders. Three variables were independently associated with response: signal joint (knee vs hip), sex, and high level of comorbidity. Index joint and sex were significant in the multivariate model, but the model was not a sensitive predictor of response.Conclusion.Strong predictors of response to a chronic disease management program for hip and knee OA were not identified. The significant predictors that were found should be considered in future studies.


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