Improving Cancer Outreach Effectiveness Through Targeting and Economic Assessments: Insights from a Randomized Field Experiment

Yixing Chen, Ju Yeon Lee, Shrihari Sridhar, Vikas Mittal, Katharine McCallister, Amit G. Singal

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Patients at risk for hepatocellular carcinoma or liver cancer should undergo semiannual screening tests to facilitate early detection, effective treatment options at lower cost, better recovery prognosis, and higher life expectancy. Health care institutions invest in direct-to-patient outreach marketing to encourage regular screening. They ask the following questions: (1) Does the effectiveness of outreach vary among patients and over time?; (2) What is the return on outreach?; and (3) Can patient-level targeted outreach increase the return? The authors use a multiperiod, randomized field experiment involving 1,800 patients. Overall, relative to the usual-care condition, outreach alone (outreach with patient navigation) increases screening completion rates by 10–20 (13–24) percentage points. Causal forests demonstrate that patient-level treatment effects vary substantially across periods and by patients’ demographics, health status, visit history, health system accessibility, and neighborhood socioeconomic status, thereby facilitating the implementation of the targeted outreach program. A simulation shows that the targeted outreach program improves the return on the randomized outreach program by 74%–96% or $1.6 million to $2 million. Thus, outreach marketing provides a substantial positive payoff to the health care system.

Original languageEnglish (US)
Pages (from-to)1-27
Number of pages27
JournalJournal of Marketing
Volume84
Issue number3
DOIs
StatePublished - May 1 2020

Keywords

  • cancer screening
  • causal forests
  • machine learning
  • personalized health care marketing
  • randomized field experiment

ASJC Scopus subject areas

  • Business and International Management
  • Marketing

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