Uzay Damali, Lawrence D. Fredendall, Janis L. Miller, DeWayne Moore, Cheryl J. Dye
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引用次数: 6
Abstract
The article proposes and tests a model that examines the type of communication media (personal meetings, group classes, and written materials) that is most effective to train and educate patients how to perform two critical self-management tasks in the treatment of diabetes. The model is based on media synchronicity theory (MST), a media selection theory. The model was tested by surveying 326 patients diagnosed with diabetes. We found that patients best mastered coproduction tasks that required conveying large amounts of information when written documents were provided. However, when coproduction tasks required comprehension of information that had multiple interpretations, patients increased their coproduction task behaviors when the training was face-to-face. Also, as predicted by MST, when learning the healthcare task required conveying little new information that patients could comprehend without struggling, patients trained with face-to-face media performed this task better. Finally, as expected, when patients increased the number of task behaviors they performed, their health outcomes improved. We discuss how these findings apply not only to healthcare operations, but also to other services that require extensive customer coproduction.
期刊介绍:
Decision Sciences, a premier journal of the Decision Sciences Institute, publishes scholarly research about decision making within the boundaries of an organization, as well as decisions involving inter-firm coordination. The journal promotes research advancing decision making at the interfaces of business functions and organizational boundaries. The journal also seeks articles extending established lines of work assuming the results of the research have the potential to substantially impact either decision making theory or industry practice. Ground-breaking research articles that enhance managerial understanding of decision making processes and stimulate further research in multi-disciplinary domains are particularly encouraged.