Can inpatient pharmacists move the needle on smoking cessation? Evaluating reach and representativeness of a pharmacist-led opt-out smoking cessation intervention protocol for hospital settings

Author(s):  
Paul D Creswell ◽  
Danielle E McCarthy ◽  
Philip Trapskin ◽  
Ann Sheehy ◽  
Amy Skora ◽  
...  

Abstract Disclaimer In an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. Purpose Hospitalization affords an opportunity to reduce smoking, but fewer than half of patients who smoke receive evidence-based cessation treatment during inpatient stays. This study evaluated a pharmacist-led, electronic health record (EHR)-facilitated opt-out smoking cessation intervention designed to address this need. Methods Analyses of EHR records for adult patients who smoked in the past 30 days admitted to an academic medical center in the upper Midwest were conducted using the Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) framework. The reach of a pharmacist-led, EHR-facilitated protocol for smoking cessation treatment was assessed by comparing patients’ receipt of nicotine replacement therapy (NRT) and tobacco quitline referral before and after implementation. χ  2 tests, t tests, and multiple logistic regression models were used to compare reach across patient demographic groups to assess treatment disparities and the representativeness of reach. Adoption of the program by hospital services was also assessed. Results Of the 70 hospital services invited to implement the program, 88.6% adopted it and 78.6% had eligible admissions. Treatment reach increased as rates of delivering NRT rose from 43.6% of eligible patients before implementation to 50.4% after implementation (P < 0.0001) and quitline referral rates rose from 0.9% to 11.9% (P < 0.0001). Representativeness of reach by sex and ethnicity improved after implementation, although disparities by race and age persisted after adjustment for demographics, insurance, and primary diagnosis. Pharmacists addressed tobacco use for eligible patients in 62.5% of cases after protocol implementation. Conclusion Smoking cessation treatment reach and representativeness of reach improved after implementation of a proactive, pharmacist-led, EHR-facilitated opt-out smoking cessation treatment protocol in adult inpatient services.

2021 ◽  
pp. 001857872199980
Author(s):  
Philip J. Trapskin ◽  
Ann Sheehy ◽  
Paul D. Creswell ◽  
Danielle E. McCarthy ◽  
Amy Skora ◽  
...  

Background: Although people who smoke cigarettes are overrepresented among hospital inpatients, few are connected with smoking cessation treatment during their hospitalization. Training, accountability for medication use, and monitoring of all patients position pharmacists well to deliver cessation interventions to all hospitalized patients who smoke. Methods: A large Midwestern University hospital implemented a pharmacist-led smoking cessation intervention. A delegation protocol for hospital pharmacy inpatients who smoked cigarettes gave hospital pharmacists the authority to order nicotine replacement therapy (NRT) during hospitalization and upon discharge, and for referral to the Wisconsin Tobacco Quit Line (WTQL) at discharge. Eligible patients received the smoking cessation intervention unless they actively refused (ie, “opt-out”). The program was pilot tested in phases, with pharmacist feedback between phases, and then implemented hospital-wide. Interviews, surveys, and informal mechanisms identified ways to improve implementation and workflows. Results: Feedback from pharmacists led to changes that improved workflow, training and patient education materials, and enhanced adoption and reach. Refining implementation strategies across pilot phases increased the percentage of eligible smokers offered pharmacist-delivered cessation support from 37% to 76%, prescribed NRT from 2% to 44%, and referred to the WTQL from 3% to 32%. Conclusion: Hospitalizations provide an ideal opportunity for patients to make a tobacco quit attempt, and pharmacists can capitalize on this opportunity by integrating smoking cessation treatment into existing inpatient medication reconciliation workflows. Pharmacist-led implementation strategies developed in this study may be applicable in other inpatient settings.


10.2196/17734 ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. e17734 ◽  
Author(s):  
Amanda L Graham ◽  
George D Papandonatos ◽  
Megan A Jacobs ◽  
Michael S Amato ◽  
Sarah Cha ◽  
...  

Background Smoking remains a leading cause of preventable death and illness. Internet interventions for smoking cessation have the potential to significantly impact public health, given their broad reach and proven effectiveness. Given the dose-response association between engagement and behavior change, identifying strategies to promote engagement is a priority across digital health interventions. Text messaging is a proven smoking cessation treatment modality and a powerful strategy to increase intervention engagement in other areas of health, but it has not been tested as an engagement strategy for a digital cessation intervention. Objective This study examined the impact of 4 experimental text message design factors on adult smokers’ engagement with an internet smoking cessation program. Methods We conducted a 2×2×2×2 full factorial screening experiment wherein 864 participants were randomized to 1 of 16 experimental conditions after registering with a free internet smoking cessation program and enrolling in its automated text message program. Experimental factors were personalization (on/off), integration between the web and text message platforms (on/off), dynamic tailoring of intervention content based on user engagement (on/off), and message intensity (tapered vs abrupt drop-off). Primary outcomes were 3-month measures of engagement (ie, page views, time on site, and return visits to the website) as well as use of 6 interactive features of the internet program. All metrics were automatically tracked; there were no missing data. Results Main effects were detected for integration and dynamic tailoring. Integration significantly increased interactive feature use by participants, whereas dynamic tailoring increased the number of features used and page views. No main effects were found for message intensity or personalization alone, although several synergistic interactions with other experimental features were observed. Synergistic effects, when all experimental factors were active, resulted in the highest rates of interactive feature use and the greatest proportion of participants at high levels of engagement. Measured in terms of standardized mean differences (SMDs), effects on interactive feature use were highest for Build Support System (SMD 0.56; 95% CI 0.27 to 0.81), Choose Quit Smoking Aid (SMD 0.38; 95% CI 0.10 to 0.66), and Track Smoking Triggers (SMD 0.33; 95% CI 0.05 to 0.61). Among the engagement metrics, the largest effects were on overall feature utilization (SMD 0.33; 95% CI 0.06 to 0.59) and time on site (SMD 0.29; 95% CI 0.01 to 0.57). As no SMD >0.30 was observed for main effects on any outcome, results suggest that for some outcomes, the combined intervention was stronger than individual factors alone. Conclusions This factorial experiment demonstrates the effectiveness of text messaging as a strategy to increase engagement with an internet smoking cessation intervention, resulting in greater overall intervention dose and greater exposure to the core components of tobacco dependence treatment that can promote abstinence. Trial Registration ClinicalTrials.gov NCT02585206; https://clinicaltrials.gov/ct2/show/NCT02585206. International Registered Report Identifier (IRRID) RR2-10.1136/bmjopen-2015-010687


2009 ◽  
Vol 9 (1) ◽  
Author(s):  
Jeannet JAM Kramer ◽  
Marc C Willemsen ◽  
Barbara Conijn ◽  
Andrée J van Emst ◽  
Suzanne Brunsting ◽  
...  

2018 ◽  
Vol 21 (11) ◽  
pp. 1506-1516 ◽  
Author(s):  
Alicia K Matthews ◽  
Alana D Steffen ◽  
Lisa M Kuhns ◽  
Raymond A Ruiz ◽  
Nat A Ross ◽  
...  

Abstract Purpose To examine the benefits of a culturally targeted compared with a nontargeted smoking cessation intervention on smoking cessation outcomes among lesbian, gay, bisexual, and transgender (LGBT) smokers. Methods A prospective randomized design was used to evaluate the added benefits of an LGBT culturally targeted Courage to Quit (CTQ-CT) smoking cessation treatment (N = 172) compared with the standard intervention (CTQ; N = 173). The smoking cessation program consisted of six treatment sessions combined with 8 weeks of nicotine replacement therapy. The primary smoking cessation outcome was 7-day point prevalence quit rates. Secondary outcomes examined included changes in nicotine dependence, nicotine withdrawal, cigarettes per day, smoking urges, self-efficacy, and readiness to quit. Results Overall quit rates were 31.9% at 1 month, 21.1% at 3 months, 25.8% at 6 months, and 22.3% at 12 months. Quit rates did not differ between treatment groups [1 month OR = 0.81 (0.32, 2.09), 3 months OR = 0.65 (0.23, 1.78), 6 months OR = 0.45 (0.17, 1.21), 12 months OR = 0.70 (0.26, 1.91)]. Compared with baseline levels, all secondary smoking cessation outcomes measured were improved at 1 month and were maintained at 12-month follow-up. Compared with the CTQ, the CTQ-CT intervention was more highly rated on program effectiveness (d = 0.2, p = .011), intervention techniques (d = 0.2, p = .014), the treatment manual (d = 0.3, p < .001), and being targeted to the needs of LGBT smokers (d = 0.5, p < .0001). Conclusions LGBT smokers receiving the CTQ intervention achieved smoking cessation outcomes in the range reported for other demographic groups. Cultural targeting improved the acceptability of the intervention but did not confer any additional benefit for smoking cessation outcomes. Implications Study results have implications for understanding the benefits of culturally targeted compared with nontargeted smoking cessation interventions for improving smoking cessation outcomes among LGBT smokers. Shorter and longer term 7-day point prevalence quit rates associated with the targeted and nontargeted interventions were modest but comparable with other group-based interventions delivered in a community setting. Although cultural targeting improved the overall acceptability of the intervention, no added benefits were observed for the culturally targeted intervention on either the primary or secondary outcomes.


2020 ◽  
Author(s):  
Amanda L Graham ◽  
George D Papandonatos ◽  
Megan A Jacobs ◽  
Michael S Amato ◽  
Sarah Cha ◽  
...  

BACKGROUND Smoking remains a leading cause of preventable death and illness. Internet interventions for smoking cessation have the potential to significantly impact public health, given their broad reach and proven effectiveness. Given the dose-response association between engagement and behavior change, identifying strategies to promote engagement is a priority across digital health interventions. Text messaging is a proven smoking cessation treatment modality and a powerful strategy to increase intervention engagement in other areas of health, but it has not been tested as an engagement strategy for a digital cessation intervention. OBJECTIVE This study examined the impact of 4 experimental text message design factors on adult smokers’ engagement with an internet smoking cessation program. METHODS We conducted a 2×2×2×2 full factorial screening experiment wherein 864 participants were randomized to 1 of 16 experimental conditions after registering with a free internet smoking cessation program and enrolling in its automated text message program. Experimental factors were <i>personalization</i> (on/off), <i>integration</i> between the web and text message platforms (on/off), <i>dynamic tailoring</i> of intervention content based on user engagement (on/off), and <i>message intensity</i> (tapered vs abrupt drop-off). Primary outcomes were 3-month measures of engagement (ie, page views, time on site, and return visits to the website) as well as use of 6 interactive features of the internet program. All metrics were automatically tracked; there were no missing data. RESULTS Main effects were detected for <i>integration</i> and <i>dynamic tailoring</i>. <i>Integration</i> significantly increased interactive feature use by participants, whereas <i>dynamic tailoring</i> increased the number of features used and page views. No main effects were found for <i>message intensity</i> or <i>personalization</i> alone, although several synergistic interactions with other experimental features were observed. Synergistic effects, when all experimental factors were active, resulted in the highest rates of interactive feature use and the greatest proportion of participants at high levels of engagement. Measured in terms of standardized mean differences (SMDs), effects on interactive feature use were highest for Build Support System (SMD 0.56; 95% CI 0.27 to 0.81), Choose Quit Smoking Aid (SMD 0.38; 95% CI 0.10 to 0.66), and Track Smoking Triggers (SMD 0.33; 95% CI 0.05 to 0.61). Among the engagement metrics, the largest effects were on overall feature utilization (SMD 0.33; 95% CI 0.06 to 0.59) and time on site (SMD 0.29; 95% CI 0.01 to 0.57). As no SMD &gt;0.30 was observed for main effects on any outcome, results suggest that for some outcomes, the combined intervention was stronger than individual factors alone. CONCLUSIONS This factorial experiment demonstrates the effectiveness of text messaging as a strategy to increase engagement with an internet smoking cessation intervention, resulting in greater overall intervention dose and greater exposure to the core components of tobacco dependence treatment that can promote abstinence. CLINICALTRIAL ClinicalTrials.gov NCT02585206; https://clinicaltrials.gov/ct2/show/NCT02585206. INTERNATIONAL REGISTERED REPORT RR2-10.1136/bmjopen-2015-010687


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