Health benefits and economic advantages associated with increased utilization of a smoking cessation program.

Journal Article (Journal Article)

Rationale, aim & objective: The goal of this study was to examine the health and economic impacts related to increased utilization of the Duke Smoking Cessation Program resulting from the addition of two relatively new referral methods - Best Practice Advisory and Population Outreach. Materials & methods: In a companion paper 'Comparison of Referral Methods into a Smoking Cessation Program', we report results from a retrospective, observational, comparative effectiveness study comparing the impact of three referral methods - Traditional Referral, Best Practice Advisory and Population Outreach on utilization of the Duke Smoking Cessation Program. In this paper we take the next step in this comparative assessment by developing a Markov model to estimate the improvement in health and economic outcomes when two referral methods - Best Practice Advisory and Population Outreach - are added to Traditional Referral. Data used in this analysis were collected from Duke Primary Care and Disadvantaged Care clinics over a 1-year period (1 October 2017-30 September 2018). Results: The addition of two new referral methods - Best Practice Advisory and Population Outreach - to Traditional Referral increased the utilization of the Duke Smoking Cessation Program in Primary Care clinics from 129 to 329 smokers and in Disadvantaged Care clinics from 206 to 401 smokers. The addition of these referral methods was estimated to result in 967 life-years gained, 408 discounted quality-adjusted life-years saved and total discounted lifetime direct healthcare cost savings of US$46,376,285. Conclusion: Health systems may achieve increased patient health and decreased healthcare costs by adding Best Practice Advisory and Population Outreach strategies to refer patients to smoking cessation services.

Full Text

Duke Authors

Cited Authors

  • Datta, SK; Dennis, PA; Davis, JM

Published Date

  • August 2020

Published In

Volume / Issue

  • 9 / 11

Start / End Page

  • 817 - 828

PubMed ID

  • 32815740

Electronic International Standard Serial Number (EISSN)

  • 2042-6313

Digital Object Identifier (DOI)

  • 10.2217/cer-2020-0005

Language

  • eng

Conference Location

  • England