scholarly journals Implementation of medication-related indicators of potentially preventable hospitalizations in a national chronic disease management program for older patients with multimorbidity

2018 ◽  
Vol 31 (2) ◽  
pp. 133-139 ◽  
Author(s):  
Gillian E Caughey ◽  
Jodie B Hillen ◽  
Stephanie Bacon ◽  
Nicholas Bullock ◽  
Virginia Bullock ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Disease Management ◽  
Disease Management Program ◽  
Older Patients ◽  
Chronic Disease Management ◽  
Management Program ◽  
Preventable Hospitalizations ◽  
Potentially Preventable Hospitalizations

The Net Fiscal Impact Of A Chronic Disease Management Program: Indiana Medicaid

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

Does Clinical Presentation Predict Response to a Nonsurgical Chronic Disease Management Program for Endstage Hip and Knee Osteoarthritis?

2014 ◽  
Vol 41 (11) ◽  
pp. 2223-2231 ◽  
Author(s):  
Jillian P. Eyles ◽  
Barbara R. Lucas ◽  
Jillian A. Patterson ◽  
Matthew J. Williams ◽  
Kate Weeks ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Disease Management ◽  
Knee Osteoarthritis ◽  
Disease Management Program ◽  
Chronic Disease Management ◽  
Care Program ◽  
Management Program ◽  
Knee Oa ◽  
Predictors Of Response ◽  
High Level

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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