Prediction of Patient Activation during Technology Enabled Continuity of Care Intervention

40 Pages Posted: 3 Mar 2016 Last revised: 4 Mar 2018

Carrie Queenan

University of South Carolina - Department of Management Science

Kellas Cameron

Boston University - Department of Operations and Technology Management

Julia Smalley

Hendricks Regional Health

Nitin Joglekar

Boston University - Department of Operations and Technology Management

Date Written: March 1, 2018

Abstract

Patients’ skills, knowledge, and motivation to actively engage in their healthcare are assessed with the Patient Activation Measure (PAM). The literature on predicting PAM, when patient counseling is coupled with a technology enabled continuity of care intervention, is scant. By drawing upon organizational learning theory, we develop a double loop model of patient/ healthcare provider feedback loops and learning. We test the model using data from a randomized, controlled field experiment and find a mediated relationship between technology enabled continuity of care and increased PAM and reductions in hospital readmissions. Further, the relevant PAM levels are predicted as a function of the strength of the information signals using a machine learning methodology. We show that these predictions are subject to under/over estimation biases, consistent with behavioral biases admitted in the double loop learning theory.

Keywords: Behavioral Operations, Controlled Studies, Double Loop Learning, Machine Learning, Patient Activation, Patient Engagement, System Neglect, Telemonitoring

Suggested Citation

Queenan, Carrie and Cameron, Kellas and Smalley, Julia and Joglekar, Nitin, Prediction of Patient Activation during Technology Enabled Continuity of Care Intervention (March 1, 2018). Available at SSRN: https://ssrn.com/abstract=2739457 or http://dx.doi.org/10.2139/ssrn.2739457

Carrie Queenan (Contact Author)

University of South Carolina - Department of Management Science ( email )

United States

Kellas Cameron

Boston University - Department of Operations and Technology Management ( email )

United States

Julia Smalley

Hendricks Regional Health ( email )

1000 E Main Street
Danville, IN 46122
United States

Nitin Joglekar

Boston University - Department of Operations and Technology Management ( email )

United States

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