Literature DB >> 24152055

Can chronic disease management programs for patients with type 2 diabetes reduce productivity-related indirect costs of the disease? Evidence from a randomized controlled trial.

Omolola E Adepoju1, Jane N Bolin, Robert L Ohsfeldt, Charles D Phillips, Hongwei Zhao, Marcia G Ory, Samuel N Forjuoh.   

Abstract

The objective was to assess the impacts of diabetes self-management programs on productivity-related indirect costs of the disease. Using an employer's perspective, this study estimated the productivity losses associated with: (1) employee absence on the job, (2) diabetes-related disability, (3) employee presence on the job, and (4) early mortality. Data were obtained from electronic medical records and survey responses of 376 adults aged ≥18 years who were enrolled in a randomized controlled trial of type 2 diabetes self-management programs. All study participants had uncontrolled diabetes and were randomized into one of 4 study arms: personal digital assistant (PDA), chronic disease self-management program (CDSMP), combined PDA and CDSMP, and usual care (UC). The human-capital approach was used to estimate lost productivity resulting from 1, 2, 3, and 4 above, which are summed to obtain total productivity loss. Using robust regression, total productivity loss was modeled as a function of the diabetes self-management programs and other identified demographic and clinical characteristics. Compared to subjects in the UC arm, there were no statistically significant differences in productivity losses among persons undergoing any of the 3 diabetes management interventions. Males were associated with higher productivity losses (+$708/year; P<0.001) and persons with greater than high school education were associated with additional productivity losses (+$758/year; P<0.001). Persons with more than 1 comorbid condition were marginally associated with lower productivity losses (-$326/year; P=0.055). No evidence was found that the chronic disease management programs examined in this trial affect indirect productivity losses.

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Year:  2013        PMID: 24152055      PMCID: PMC4047841          DOI: 10.1089/pop.2013.0029

Source DB:  PubMed          Journal:  Popul Health Manag        ISSN: 1942-7891            Impact factor:   2.459


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