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Accepted for/Published in: JMIR Formative Research

Date Submitted: Feb 7, 2021
Date Accepted: Jul 6, 2021

The final, peer-reviewed published version of this preprint can be found here:

Remote Patient Monitoring and Incentives to Support Smoking Cessation Among Pregnant and Postpartum Medicaid Members: Three Randomized Controlled Pilot Studies

Joyce CM, Saulsgiver K, Mohanty S, Bachireddy C, Molfetta C, Steffy M, Yoder A, Buttenheim AM

Remote Patient Monitoring and Incentives to Support Smoking Cessation Among Pregnant and Postpartum Medicaid Members: Three Randomized Controlled Pilot Studies

JMIR Form Res 2021;5(9):e27801

DOI: 10.2196/27801

PMID: 34591023

PMCID: 8517817

Remote Patient Monitoring and Incentives to Support Smoking Cessation Among Pregnant and Postpartum Medicaid members: Three Randomized Controlled Pilot Studies

  • Caroline Mary Joyce; 
  • Kathryn Saulsgiver; 
  • Salini Mohanty; 
  • Chethan Bachireddy; 
  • Carin Molfetta; 
  • Mary Steffy; 
  • Alice Yoder; 
  • Alison Meredith Buttenheim

ABSTRACT

Background:

Smoking rates among low-income individuals, including those eligible for Medicaid, have not shown the same decrease that is seen in high-income individuals. Rates of smoking among pregnant women enrolled in Medicaid are almost twice that of privately-insured women, which leads to significant disparities in birth outcomes and a disproportionate cost burden placed on Medicaid. Several states have identified maternal smoking as a key target for improving birth outcomes and reducing health care expenditures; however, efficacious, cost-effective and feasible cessation programs have been elusive.

Objective:

To examine the feasibility, acceptability, and effectiveness of a smartwatch-enabled, incentives-based, smoking cessation program for Medicaid-eligible pregnant smokers.

Methods:

Pilot 1: A randomized pilot study of smartwatch-enabled remote monitoring vs. no remote monitoring for 12 weeks. Those in the intervention group also received the SmokeBeat™ program. Pilot 2: A randomized pilot study of Pay-to-Wear vs. Pay-to-Quit for 4 weeks. Those in Pay-to-Wear could earn daily incentives for wearing the smartwatch, those in Pay-to-Quit could earn daily incentives if they both wore the smartwatch and abstained from smoking. Pilot 3: Similar to Pilot 2 with higher incentives, and a 3-week duration.

Results:

Pilot 1 (N=27): Self-reported cigarettes per week among the intervention group declined by 15.1 (SD = 27) cigarettes over the study; a similar reduction was seen in the control group with a decrease of 17.2 (SD = 19) cigarettes. Pilot 2 (N=8): Self-reported cigarettes per week among the Pay-to-Wear group decreased by 43 cigarettes; a similar reduction was seen in the Pay-to-Quit group with an average of 31 fewer cigarettes smoked per week. Pilot 3 (N = 4): One participant in the Pay-to-Quit group abstained from smoking for the full study duration and received full incentives.

Conclusions:

Decreases in smoking were seen in both control and intervention groups during all pilots. Use of the SmokeBeat™ program did not significantly improve cessation. The SmokeBeat™ program, remote cotinine testing, and remote delivery of financial incentives were considered feasible and acceptable. Implementation challenges remain for providing evidence-based cessation incentives to low-income pregnant smokers. Feasibility and acceptability of the SmokeBeat™ program were moderately high. Feasibility and acceptability of remote cotinine testing and remotely-delivered contingent financial incentives were successful. Clinical Trial: ClinicalTrials.gov NCT03209557, Registered 6 July 2017, https://clinicaltrials.gov/ct2/show/NCT03209557?term=smokebeat&draw=2&rank=1


 Citation

Please cite as:

Joyce CM, Saulsgiver K, Mohanty S, Bachireddy C, Molfetta C, Steffy M, Yoder A, Buttenheim AM

Remote Patient Monitoring and Incentives to Support Smoking Cessation Among Pregnant and Postpartum Medicaid Members: Three Randomized Controlled Pilot Studies

JMIR Form Res 2021;5(9):e27801

DOI: 10.2196/27801

PMID: 34591023

PMCID: 8517817

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