Proactive text messaging (GetReady2Quit) and nicotine replacement therapy to promote smoking cessation among smokers in primary care: A pilot randomized trial protocol

A methodological framework allows the identification of personomic markers to consider when designing personalized interventions

OBJECTIVES

To develop a methodological framework to identify and prioritize personomic markers (e.g., psychosocial situation, beliefs…) to consider for personalizing interventions and to test in smoking cessation interventions.

STUDY DESIGN AND SETTING

(1) We identified potential personomic markers considered in protocols of personalized interventions, in reviews of predictors of smoking cessation, and in interviews with general practitioners. (2) Physicians, and patient smokers or former smokers selected the markers they considered most relevant during online paired comparison experiments. Data were analyzed with Bradley Terry Luce models.

RESULTS

Thirty-six personomic markers were identified from research evidence. They were evaluated by 795 physicians (median age: 34, IQR [30-38]; 95% general practitioners) and 793 patients (median age: 54, IQR [42-64], 71.4% former smokers) during 11,963 paired comparisons. Physicians identified patients' motivation for quitting (e.g., Prochaska stages), patients' preferences, and patients' fears and beliefs (e.g., concerns about weight gain) as the most relevant elements to personalize smoking cessation. Patients considered their motivation for quitting, smoking behavior (e.g., smoking at home/at work), and tobacco dependence (e.g., Fagerström Test) as the most relevant elements to consider.

CONCLUSION

We provide a methodological framework to prioritize which personomic markers should be considered when developing smoking cessation interventions.

Novel Implementation Strategy to Electronically Screen and Signpost Patients to Health Behavior Apps: Mixed Methods Implementation Study (OptiMine Study)

BACKGROUND

Behavior change apps have the potential to provide individual support on a population scale at low cost, but they face numerous barriers to implementation. Electronic health records (EHRs) in acute care hospitals provide a valuable resource for identifying patients at risk, who may benefit from behavior change apps. A novel, emerging implementation strategy is to use digital technologies not only for providing support to help-seeking individuals but also for signposting patients at risk to support services (also called proactive referral in the United States).

OBJECTIVE

The OptiMine study aimed to increase the reach of behavior change apps by implementing electronic signposting for smoking cessation and alcohol reduction in a large, at-risk population that was identified through an acute care hospital EHR.

METHODS

This 3-phase, mixed methods implementation study assessed the acceptability, feasibility, and reach of electronic signposting to behavior change apps by using a hospital's EHR system to identify patients who are at risk. Phase 1 explored the acceptability of the implementation strategy among the patients and staff through focus groups. Phase 2 investigated the feasibility of using the hospital EHR to identify patients with target risk behaviors and contact them via SMS text message, email, or patient portal. Phase 3 assessed the impact of SMS text messages sent to patients who were identified as smokers or risky drinkers, which signposted them to behavior change apps. The primary outcome was the proportion of participants who clicked on the embedded link in the SMS text message to access information about the apps. The acceptability of the SMS text messages among the patients who had received them was also explored in a web-based survey.

RESULTS

Our electronic signposting strategy-using SMS text messages to promote health behavior change apps to patients at risk-was found to be acceptable and feasible and had good reach. The hospital sent 1526 SMS text messages, signposting patients to either the National Health Service Smokefree or Drink Free Days apps. A total of 13.56% (207/1526) of the patients clicked on the embedded link to the apps, which exceeded our 5% a priori success criterion. Patients and staff contributed to the SMS text message content and delivery approach, which were perceived as acceptable before and after the delivery of the SMS text messages. The feasibility of the SMS text message format was determined and the target population was identified by mining the EHR.

CONCLUSIONS

The OptiMine study demonstrated the proof of concept for this novel implementation strategy, which used SMS text messages to signpost at-risk individuals to behavior change apps at scale. The level of reach exceeded our a priori success criterion in a non-help-seeking population of patients receiving unsolicited SMS text messages, disconnected from hospital visits.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/23669.

Characteristics of Patients Engaging in Quitline Counseling After an Electronic Referral

INTRODUCTION

Proactive, electronic referral of primary care patients to quitlines has great potential to provide evidence-based tobacco-cessation assistance to tobacco users. However, the quitline contact rates and engagement of individuals beyond 1 counseling call are poor. This study examines the characteristics of electronically referred patients who engage with the quitline.

METHODS

This cross-sectional study included 2,407 primary care patients who reported using tobacco and accepted an electronic referral to the quitline. Outcomes included contact, enrollment, and receipt of ≥2 counseling sessions from the quitline. All measures were assessed from the electronic health record. The association of patient characteristics and outcomes was evaluated using logistic regression modeling with generalized estimating equation methods. Data were collected in 2016‒2018 and were analyzed in 2020.

RESULTS

Among 2,407 referred patients, 794 (33.0%) were contacted; of those, 571 enrolled (71.9%); and of those, 240 (42.0%) engaged in ≥2 quitline counseling sessions. In multivariable analyses, older adults (aged 50-64 and ≥65 years) were significantly more likely to be contacted (OR=2.32, 95% CI=1.6, 3.4) and to receive ≥2 counseling sessions (OR=2.34, 95% CI=1.2, 4.7) than those aged 18-34 years. Those with both Medicare and Medicaid insurance coverage were more likely than those with Medicaid only to be contacted (OR=1.71, 95% CI=1.4, 2.2), to enroll (OR=1.84, 95% CI=1.2, 2.9), and to receive ≥2 counseling sessions (OR=1.83, 95% CI=1.2, 2.9).

CONCLUSIONS

The current quitline phone-based approach is less likely to engage younger adults and those with Medicaid coverage; however, there is a need to improve quitline engagement across all patients. Identification and testing of alternative engagement approaches are needed.

Strategies to improve smoking cessation rates in primary care

BACKGROUND

Primary care is an important setting in which to treat tobacco addiction. However, the rates at which providers address smoking cessation and the success of that support vary. Strategies can be implemented to improve and increase the delivery of smoking cessation support (e.g. through provider training), and to increase the amount and breadth of support given to people who smoke (e.g. through additional counseling or tailored printed materials).

OBJECTIVES

To assess the effectiveness of strategies intended to increase the success of smoking cessation interventions in primary care settings. To assess whether any effect that these interventions have on smoking cessation may be due to increased implementation by healthcare providers.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group's Specialized Register, the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and trial registries to 10 September 2020.

SELECTION CRITERIA

We included randomized controlled trials (RCTs) and cluster-RCTs (cRCTs) carried out in primary care, including non-pregnant adults. Studies investigated a strategy or strategies to improve the implementation or success of smoking cessation treatment in primary care. These strategies could include interventions designed to increase or enhance the quality of existing support, or smoking cessation interventions offered in addition to standard care (adjunctive interventions). Intervention strategies had to be tested in addition to and in comparison with standard care, or in addition to other active intervention strategies if the effect of an individual strategy could be isolated. Standard care typically incorporates physician-delivered brief behavioral support, and an offer of smoking cessation medication, but differs across studies. Studies had to measure smoking abstinence at six months' follow-up or longer.

DATA COLLECTION AND ANALYSIS

We followed standard Cochrane methods. Our primary outcome - smoking abstinence - was measured using the most rigorous intention-to-treat definition available. We also extracted outcome data for quit attempts, and the following markers of healthcare provider performance: asking about smoking status; advising on cessation; assessment of participant readiness to quit; assisting with cessation; arranging follow-up for smoking participants. Where more than one study investigated the same strategy or set of strategies, and measured the same outcome, we conducted meta-analyses using Mantel-Haenszel random-effects methods to generate pooled risk ratios (RRs) and 95% confidence intervals (CIs).

MAIN RESULTS

We included 81 RCTs and cRCTs, involving 112,159 participants. Fourteen were rated at low risk of bias, 44 at high risk, and the remainder at unclear risk. We identified moderate-certainty evidence, limited by inconsistency, that the provision of adjunctive counseling by a health professional other than the physician (RR 1.31, 95% CI 1.10 to 1.55; I2 = 44%; 22 studies, 18,150 participants), and provision of cost-free medications (RR 1.36, 95% CI 1.05 to 1.76; I2 = 63%; 10 studies,7560 participants) increased smoking quit rates in primary care. There was also moderate-certainty evidence, limited by risk of bias, that the addition of tailored print materials to standard smoking cessation treatment increased the number of people who had successfully stopped smoking at six months' follow-up or more (RR 1.29, 95% CI 1.04 to 1.59; I2 = 37%; 6 studies, 15,978 participants). There was no clear evidence that providing participants who smoked with biomedical risk feedback increased their likelihood of quitting (RR 1.07, 95% CI 0.81 to 1.41; I2 = 40%; 7 studies, 3491 participants), or that provider smoking cessation training (RR 1.10, 95% CI 0.85 to 1.41; I2 = 66%; 7 studies, 13,685 participants) or provider incentives (RR 1.14, 95% CI 0.97 to 1.34; I2 = 0%; 2 studies, 2454 participants) increased smoking abstinence rates. However, in assessing the former two strategies we judged the evidence to be of low certainty and in assessing the latter strategies it was of very low certainty. We downgraded the evidence due to imprecision, inconsistency and risk of bias across these comparisons. There was some indication that provider training increased the delivery of smoking cessation support, along with the provision of adjunctive counseling and cost-free medications. However, our secondary outcomes were not measured consistently, and in many cases analyses were subject to substantial statistical heterogeneity, imprecision, or both, making it difficult to draw conclusions. Thirty-four studies investigated multicomponent interventions to improve smoking cessation rates. There was substantial variation in the combinations of strategies tested, and the resulting individual study effect estimates, precluding meta-analyses in most cases. Meta-analyses provided some evidence that adjunctive counseling combined with either cost-free medications or provider training enhanced quit rates when compared with standard care alone. However, analyses were limited by small numbers of events, high statistical heterogeneity, and studies at high risk of bias. Analyses looking at the effects of combining provider training with flow sheets to aid physician decision-making, and with outreach facilitation, found no clear evidence that these combinations increased quit rates; however, analyses were limited by imprecision, and there was some indication that these approaches did improve some forms of provider implementation.

AUTHORS' CONCLUSIONS

There is moderate-certainty evidence that providing adjunctive counseling by an allied health professional, cost-free smoking cessation medications, and tailored printed materials as part of smoking cessation support in primary care can increase the number of people who achieve smoking cessation. There is no clear evidence that providing participants with biomedical risk feedback, or primary care providers with training or incentives to provide smoking cessation support enhance quit rates. However, we rated this evidence as of low or very low certainty, and so conclusions are likely to change as further evidence becomes available. Most of the studies in this review evaluated smoking cessation interventions that had already been extensively tested in the general population. Further studies should assess strategies designed to optimize the delivery of those interventions already known to be effective within the primary care setting. Such studies should be cluster-randomized to account for the implications of implementation in this particular setting. Due to substantial variation between studies in this review, identifying optimal characteristics of multicomponent interventions to improve the delivery of smoking cessation treatment was challenging. Future research could use component network meta-analysis to investigate this further.

A Pilot Randomized Controlled Trial of Text Messaging to Increase Tobacco Treatment Reach in the Emergency Department

INTRODUCTION

Automated text messaging programs have been studied as a treatment tool, but have not been studied as an outreach tool to increase the reach of smoking cessation treatment.

AIMS AND METHODS

Two distinct text messaging programs were developed. One was aimed at connecting smokers to quitline phone counseling via text message (Text4Coach [T4C]) and the other was aimed at connecting smokers to a smoking cessation text messaging program (Text&Quit [T&Q]). Adult daily smokers with Medicaid insurance (N = 80) were recruited from the Emergency Department at an urban hospital and randomized to T4C or T&Q. The primary outcome was program reach.

RESULTS

Outreach text messages were found to have moderately high uptake, with the majority of participants (63.8%) opting into their assigned tobacco treatment program and younger and female participants more likely to opt in (p < .01). Receipt of the treatment portion of the program differed among the programs with 67.5% of T&Q receiving the treatment program and 27.5% of T4C receiving the program (p < .001). Most participants across both groups replied to at least one message (71.3%) and very few unsubscribed from the service over the 3-week trial. The majority of participants reported overall satisfaction with their program (63.8%), found it helpful for quitting smoking (60.0%) and would recommend the program to a friend (62.5%). Overall, 11 (13.8%) participants reported being abstinent from smoking for the past 7 days at follow-up, with no differences between groups.

CONCLUSIONS

Outreach text messages were found to have moderately high reach among Medicaid smokers. Larger trials are needed to evaluate the impact of such programs on helping low-income smokers quit.

IMPLICATIONS

Automated text messaging programs have been tested as a treatment tool, but have not been tested as an outreach tool to increase the reach of smoking cessation treatment. This study tests a new way of conducting outreach to smokers in a health system through text messages. It tests the effect of outreach on (1) rates of opting in and (2) successful treatment delivery. Results may inform new models of providing outreach for tobacco treatment in health systems.

Tailored mHealth intervention for improving treatment adherence for people living with HIV in Iran (HamRaah): protocol for a feasibility study and randomised pilot trial with a nested realist evaluation

INTRODUCTION

Middle East and North Africa (MENA) has a rising rate of new HIV infections and AIDS-related mortality. Consistent adherence to antiretroviral therapy (ART) leads to viral suppression, preventing HIV transmission and treatment failure. mHealth interventions can improve ART adherence by providing tailored support and directing patients to existing healthcare services. HamRaah (Persian for 'together-in-path') is the first mHealth-based intervention in a MENA country and is designed to improve adherence through two-way mobile messaging for people recently diagnosed with HIV in Tehran, Iran. The objectives of this pilot randomised controlled trial (RCT) are to examine the feasibility, acceptability and preliminary effectiveness of HamRaah, and to develop an explanatory theory for any observed effects through a nested realist evaluation.

METHODS

A feasibility study and two-arm RCT of HamRaah, with an embedded realist evaluation will be conducted. Participants will be randomised 1:1 to HamRaah or routine care for a 6-month intervention. The initial effectiveness of HamRaah will be assessed through the primary outcome of self-reported ART adherence and several secondary outcomes: retention in care, CD4 count and viral suppression. A theory-driven realist evaluation framework will be used to develop an explanatory theory regarding what works, for whom, how and in what context.

ETHICS AND DISSEMINATION

The study received ethical clearance from Tehran University of Medical Sciences Ethics Committee and Oxford Tropical Research Ethics Committee People living with HIV in Tehran and key country stakeholders in HIV policy and programming have been involved in the development of HamRaah and this pilot trial. Participants will provide informed consent prior to study enrolment. The results will be disseminated to all stakeholders and presented in peer-reviewed journal publications and conferences.

TRIAL REGISTRATION NUMBER

IRCT20100601004076N23; Pre-results.

Proactively Offered Text Messages and Mailed Nicotine Replacement Therapy for Smokers in Primary Care Practices: A Pilot Randomized Trial

INTRODUCTION

Proactive, population health cessation programs can guide efforts to reach smokers outside of the clinic to encourage quit attempts and treatment use.

AIMS AND METHODS

This study aimed to measure trial feasibility and preliminary effects of a proactive intervention offering text messages (TM) and/or mailed nicotine replacement therapy (NRT) to smokers in primary care clinics. From 2017 to 2019 we performed a pilot randomized trial comparing brief telephone advice (control: BA), TM, 2 weeks of mailed NRT, or both interventions (TM + NRT). Patients were identified using electronic health records and contacted proactively by telephone to assess interest in the study. We compared quit attempts, treatment use, and cessation in the intervention arms with BA.

RESULTS

Of 986 patients contacted, 153 (16%) enrolled (mean age 53 years, 57% female, 76% white, 11% black, 8% Hispanic, 52% insured by Medicaid) and 144 (94%) completed the 12-week assessment. On average, patients in the TM arms received 159 messages (99.4% sent, 0.6% failed), sent 19 messages, and stayed in the program for 61 days. In all groups, a majority of patients reported quit attempts (BA 67% vs. TM 86% [p = .07], NRT 81% [p = .18], TM + NRT 79% [p = .21]) and NRT use (BA 51% vs. NRT 83% [p = .007], TM 65% [p = .25], TM + NRT 76% [p = .03]). Effect estimates for reported 7-day abstinence were BA 10% versus TM 26% (p = .09), NRT 28% (p = .06), and TM + NRT 23% (p = .14).

CONCLUSIONS

Proactively offering TM or mailed nicotine medications was feasible among primary care smokers and a promising approach to promote quit attempts and short-term abstinence.

IMPLICATIONS

Proactive intervention programs to promote quit attempts outside of office visits among smokers enrolled in primary care practices are needed. TM have potential to engage smokers not planning to quit or to support smokers to make a planned quit attempt. This pilot study demonstrates the feasibility of testing a proactive treatment model including TM and/or mailed NRT to promote quit attempts, treatment use, and cessation among nontreatment-seeking smokers in primary care.

CLINICALTRIALS.GOV IDENTIFIER

NCT03174158.