 Patient Heal Thyself: Reducing Hospital Readmissions with Technology‐Enabled Continuity of Care and Patient ActivationCarrie Queenan, Kellas Cameron, Alan Snell, Julia Smalley and Nitin Joglekar Production and Operations Management, 2019, vol. 28, issue 11, 2841-2853 Abstract: Patients’ skills, knowledge, and motivation to actively engage in their health care are assessed with the patient activation measure (PAM). The literature on the role of PAM, when patient counseling is coupled with a technology enabled continuity of care intervention, is scant. We model the patient–health care provider feedback loop and learning through error corrections to explore the relations between continuity of care, PAM and patient readmissions. We test this model using data from a randomized, controlled field experiment. Our data show a direct effect of technology‐enabled continuity of care, together with its interaction with PAM, reduces readmissions over the base case without technology enabled continuity of care. Using exploratory analysis, we further show how a machine learning algorithm can be used to predict PAM, that can potentially furnish health care providers with useful information during the process of supporting their patients. Date: 2019 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:popmgt:v:28:y:2019:i:11:p:2841-2853 Ordering information: This journal article can be ordered from Access Statistics for this article Production and Operations Management is currently edited by Kalyan Singhal More articles in Production and Operations Management from Production and Operations Management Society |
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