Converging to the Lowest Common Denominator in Physical Health

Leslie K. John; Michael I. Norton

Article | Health Psychology | September 2013

Converging to the Lowest Common Denominator in Physical Health

Abstract

Objective: This research examines how access to information on peer health behaviors affects one's own health behavior. Methods: We report the results of a randomized field experiment in a large corporation in which we introduced walkstations (treadmills attached to desks that enable employees to walk while working), provided employees with feedback on their own and their co-workers' usage, and assessed usage over six months. We report how we determined our sample size, as well as all data exclusions, manipulations, and measures in the study. Results: Walkstation usage declined most when participants were given information on co-workers' usage levels, due to a tendency to converge to the lowest common denominator—their least-active co-workers. Conclusion: This research demonstrates the impact of the lowest common denominator in physical activity: people's activity levels tend to converge to the lowest-performing members of their groups. This research adds to our understanding of the factors that determine when the behavior of others impacts our own behavior for the better—and the worse.

Keywords: Information; Behavior; Decision Choices and Conditions; Health; Health Industry;

Format: Print

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Citation:

John, Leslie K., and Michael I. Norton. "Converging to the Lowest Common Denominator in Physical Health." Special Issue on Health Psychology Meets Behavioral Economics. Health Psychology 32, no. 9 (September 2013): 1023–1028.

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The case describes a program that CVS Health recently implemented to improve medication adherence, an important problem from a societal, public policy, and firm perspective. A test of the program, costing hundreds of thousands of dollars to implement, increased the proportion of adherent customers by 1.4 percentage points. Students are asked to quantify the system-wide economic benefit of this improvement and draw upon insights from behavioral science to examine approaches for boosting medication adherence.

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By the time Dan Doctoroff, CEO of Sidewalk Labs, began hosting a Reddit “Ask Me Anything” session in January 2018, he had only nine months remaining to convince the people of Toronto, their government representatives, and presumably his parent company Alphabet, Inc., that Sidewalk Labs’ plan to construct “the first truly 21st-century city” on the Canadian city’s waterfront was a sound one. Along with much excitement and optimism, strains of concern had emerged since Doctoroff and partners first announced their intentions for a city “built from the internet up” in Toronto’s Quayside district. As Doctoroff prepared for yet another milestone in a year of planning and community engagement, it was almost certain that of the many questions headed his way, digital privacy would be among them.

In their commentary, Wilson & Stolarz-Fantino argue that specific design features of our research mean that it cannot have policy implications and that researchers “need to consider profit maximization in menu design or studies are likely to suggest ill-informed implementations.” In this reply, we respond to the specific critiques of our work with empirical data and conceptual arguments. We agree with Wilson and Stolarz-Fantino that researchers seeking to understand a policy’s influence on consumers should test predictions about which strategies firms will likely use when implementing a policy. Research, however, that demonstrates the effectiveness (or lack thereof) of an intervention even without perfectly predicting a firm’s response still has enormous value for setting policy.

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Converging to the Lowest Common Denominator in Physical Health

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