Secure Asynchronous Communication Between Smokers and Tobacco Treatment Specialists: Secondary Analysis of a Web-Assisted Tobacco Intervention in the QUIT-PRIMO and National Dental PBRN Networks.

BACKGROUND: Within a web-assisted tobacco intervention, we provided a function for smokers to asynchronously communicate with a trained tobacco treatment specialist (TTS). Previous studies have not attempted to isolate the effect of asynchronous counseling on smoking cessation. OBJECTIVE: This study aimed to conduct a semiquantitative analysis of TTS-smoker communication and evaluate its association with smoking cessation. METHODS: We conducted a secondary analysis of data on secure asynchronous communication between trained TTSs and a cohort of smokers during a 6-month period. Smokers were able to select their preferred TTS and message them using a secure web-based form. To evaluate whether the TTS used evidence-based practices, we coded messages using the Motivational Interviewing Self-Evaluation Checklist and Smoking Cessation Counseling (SCC) Scale. We assessed the content of messages initiated by the smokers by creating topical content codes. At 6 months, we assessed the association between smoking cessation and the amount of TTS use and created a multivariable model adjusting for demographic characteristics and smoking characteristics at baseline. RESULTS: Of the 725 smokers offered asynchronous counseling support, 33.8% (245/725) messaged the TTS at least once. A total of 1082 messages (TTSs: 565; smokers 517) were exchanged between the smokers and TTSs. The majority of motivational interviewing codes were those that supported client strengths (280/517, 54.1%) and promoted engagement (280/517, 54.1%). SCC code analysis showed that the TTS provided assistance to smokers if they were willing to quit (247/517, 47.8%) and helped smokers prepare to quit (206/517, 39.8%) and anticipate barriers (197/517, 38.1%). The majority of smokers' messages discussed motivations to quit (234/565, 41.4%) and current and past treatments (talking about their previous use of nicotine replacement therapy and medications; 201/565, 35.6%). The majority of TTS messages used behavioral strategies (233/517, 45.1%), offered advice on treatments (189/517, 36.5%), and highlighted motivations to quit (171/517, 33.1%). There was no association between the amount of TTS use and cessation. In the multivariable model, after adjusting for gender, age, race, education, readiness at baseline, number of cigarettes smoked per day at baseline, and the selected TTS, smokers messaging the TTS one or two times had a smoking cessation odds ratio (OR) of 0.8 (95% CI 0.4-1.4), and those that messaged the TTS more than two times had a smoking cessation OR of 1.0 (95% CI 0.4-2.3). CONCLUSIONS: Our study demonstrated the feasibility of using asynchronous counseling to deliver evidence-based counseling. Low participant engagement or a lack of power could be potential explanations for the nonassociation with smoking cessation. Future trials should explore approaches to increase participant engagement and test asynchronous counseling in combination with other approaches for improving the rates of smoking cessation.

Exploring Online Asynchronous Counseling With Tobacco Treatment Specialists in the QUIT-PRIMO and National Dental PBRN HI-QUIT Studies: Who Uses It and What Do They Say?

PURPOSE: To describe the content of messages sent by smokers through asynchronous counseling within a Web-based smoking cessation intervention. DESIGN: Qualitative. SETTING: National community-based setting of patients who had been engaged by the medical or dental practices at which they attended or via Google advertisements. PARTICIPANTS: Adults older than 19 years who were current smokers and interested in quitting. Participants throughout the United States referred to a Web-based cessation intervention by their medical or dental provider or by clicking on a Google advertisement. METHODS: We conducted a qualitative review of 742 asynchronous counseling messages sent by 270 Web site users. Messages were reviewed, analyzed, and organized into qualitative themes by the investigative team. RESULTS: The asynchronous counseling feature of the intervention was used most frequently by smokers who were white (87%), female (67%), aged 45 to 54 (32%), and who had at least some college-level education (70%). Qualitative analysis yielded 7 basic themes-Talk about the Process of Quitting, Barriers to Quitting, Reasons to Quit, Quit History, Support and Strategies for Quitting, Quitting with Medication, and Quit Progress. The most common theme was Support and Strategies for Quitting with 255 references among all messages. CONCLUSION: We found rich communication across the spectrum of the quit process, from persons preparing to quit to those who had successfully quit. Asynchronous smoking cessation counseling provides a promising means of social support for smokers during the quit process.

Socio-demographic differences in risk information seeking sources for non-steroidal anti-inflammatory drugs (NSAIDS).

OBJECTIVES: Non-steroidal anti-inflammatory drugs (NSAIDs) are frequently prescribed for musculoskeletal pain and inflammatory conditions. A better understanding of patient information seeking behavior can help bridge the gap between patient knowledge and health care resources. This study examines the primary sources of NSAID risk information and the associations with patient socio-demographic factors. METHODS: A cross-sectional survey analysis of patients on prescription NSAIDs (n=220) seen by primary care physicians in Alabama. Bivariate and multivariable, multinomial logistic regression analyses were conducted to evaluate the associations among primary NSAID risk information sources used with patient socio-demographic factors. RESULTS: The primary patient source of information on NSAID risks was physician (57.3%), followed by internet (16.8%), pharmacist (16.4%), and other sources, such as nurses and family/friends (9.6%). Compared to people who use the internet as a primary source of NSAID risk information, patients who were Black/African-American (p=0.002) and 65 years of age or older (p=0.009) were more likely to use a physician. Older patients were also more likely to use a pharmacist (p=0.008) than the internet. In contrast, females (p=0.032) were less likely to use the pharmacist compared to the internet (p=0.032). CONCLUSIONS: Patients obtain information from a variety of sources, but primarily from health care providers. While the internet is a fast growing source of health information, socio-demographic disparities in internet use for seeking information exist. Health care providers should be aware of their patient preferences for information sources on medication risks to meet the age, race, and gender need differences of all patients.

Association of Part D coverage gap with COPD medication adherence.

OBJECTIVES: This study assessed the association of the Medicare Part D coverage gap with medication adherence among beneficiaries with chronic obstructive pulmonary disease (COPD). STUDY DESIGN: Retrospective observational study based on Medicare claims data. METHODS: A 5% random sample of Medicare claims data (2006-2010) was used in this study. Beneficiaries diagnosed with COPD and treated with long-acting bronchodilators (LABDs) were assigned to an exposure cohort (at risk of the coverage gap) or a control cohort (otherwise). The exposure and control cohorts were matched using high-dimensional propensity scores. Adherence was defined as ≥80% of the proportion of days covered by LABDs. Logistic regressions controlling for unbalanced covariates post matching were applied to assess the association of the coverage gap with adherence. RESULTS: The final matched exposure and control cohorts each included 4147 patient-year observations with about 42% and 46% of them adherent to LABDs, respectively. About 17% of the exposure cohort hit the coverage gap after October 31. Logistic regression showed that, compared with the control cohort, the beneficiaries in the exposure cohort had a significantly lower likelihood of being adherent if they hit the coverage gap later in the year (odds ratio [OR], 0.603; 95% CI, 0.493-0.738), or had a lower likelihood without statistical significance if otherwise (OR, 0.931; 95% CI, 0.846-1.024). CONCLUSIONS: The findings suggest that the Part D coverage gap was associated with lower adherence in patients with COPD, which may serve as evidentiary support for phasing out the coverage gap by 2020.

Evaluating the effectiveness of a patient storytelling DVD intervention to encourage physician-patient communication about nonsteroidal anti-inflammatory drug (NSAID) use.

OBJECTIVE: To evaluate the effectiveness of a culturally-sensitive, patient storytelling intervention to enhance physician-patient communication about NSAID risk. METHODS: A group randomized trial of 40 medical practices in Alabama was conducted. Patients within intervention practices received a 13-minute DVD that included patient stories related to their experiences with NSAIDs, adverse effects, and importance of communication with their physicians. The proportion of patients who: (1) spoke with their physician about NSAID risk; and (2) used both prescription and over-the-counter (OTC) NSAIDS were primary outcomes. Generalized estimating equations for panel data were used for analysis. RESULTS: Intention-to-treat analyses revealed no significant differences between intervention (n=102) and control (n=106) groups for patients speaking with their physician about NSAID risk or concomitant use of prescription/OTC NSAIDs (Odds Ratio [OR]=1.11, p=0.670; OR=0.87, p=0.632, respectively). For 54% of patients who watched the DVD, per-protocol (PP) analyses trended toward increased odds of patients speaking with their physician about prescription NSAID risk compared to the control group [OR=1.37, p=0.354] and lower odds of concomitant prescription/OTC NSAIDs use [OR=0.79, p=0.486]. CONCLUSIONS: A patient storytelling intervention in DVD format alone may not increase patient-physician interaction. PRACTICE IMPLICATIONS: Strategies that facilitate use of patient educational materials delivered by DVD are needed.

Online tobacco websites and online communities-who uses them and do users quit smoking? The quit-primo and national dental practice-based research network Hi-Quit studies.

Online tobacco cessation communities are beneficial but underused. Our study examined whether, among smokers participating in a web-assisted tobacco intervention (Decide2quit.org), specific characteristics were associated with navigating to BecomeAnEx.org, an online cessation community, and with subsequent quit rates. Among smokers (N = 759) registered with Decide2quit.org, we identified visitors to BecomeAnEx.org, examining associations between smoker characteristics and likelihood of visiting. We then tested for associations between visits and 6-month cessation (point prevalence). We also tested for an interaction between use of other online support-seeking (Decide2quit.org tobacco cessation coaches), visiting, and 6-month cessation. One quarter (26.0 %; n = 197) of the smokers visited BecomeAnEx.org; less than one tenth (7.5 %; n = 57) registered to participate in the online forum. Visitors were more likely to be female (73.0 vs. 62.6 % of non-visitors, P < 0.01) to have visited a cessation website before (33.0 vs. 17.4 %, P < 0.01) and to report quit attempts in the previous year (62.0 vs. 53.0 %, P = 0.03). In analyses of all participants, BecomeAnEx.org visiting was not associated with 6-month quit completion. Among participants who communicated with a coach, BecomeAnEx.org visiting also lacked a significant association with 6 month quit completion, although a non-significant trend toward quit completion in visitors was noted (OR 2.21, 95 % CI 0.81-3.1). Online cessation communities attract smokers with previous cessation website experience and recent quit attempts. Community visiting was not associated with quit rates in our study, but low use may have limited our power to detect differences. Further research should explore whether an additive effect can be achieved by offering community visitors support via online coaches.

Evaluating the QUIT-PRIMO clinical practice ePortal to increase smoker engagement with online cessation interventions: a national hybrid type 2 implementation study.

BACKGROUND: Effective web-assisted tobacco interventions (WATIs) have been underutilized by smokers; moreover, despite practice guideline recommendations, clinical teams do not routinely refer smokers to WATIs. Our goal was to test a clinical practice innovation, an ePortal designed to change practice and patient behavior. Our hypotheses were that the integrated system would result in increased smoker referrals, with an automated follow-up system resulting in more smoker registrations and finally augmentations of the WATI would result in more smokers quitting at 6 months. METHODS: Practice ePortal Implementation Trial: Practices (n = 174) were randomized to an online practice ePortal with an "e-referral tool" to the WATI (e-referred smokers received automated email reminders from the practice) and with practice feedback reports with patient tracking and practice-to-patient secure messaging versus comparison (a paper "referral prescription"). Implementation success was measured by the number of smokers referred and smokers registering. Clinical Effectiveness Trial: To estimate the effectiveness of the WATI components on 6-month smoking cessation, registered smokers were randomized into three groups: a state-of-the-art tailored WATI control [control], the WATI enhanced with proactive, pushed tailored email motivational messaging (messaging), and the WATI with messaging further enhanced with personal secure messaging with a tobacco treatment specialist and an online support group (personalized). RESULTS: Practice ePortal Trial results: A total of 4789 smokers were referred. The mean smokers referred per practice was not statistically different by group (ePortal 24.89 (SD 22.29) versus comparison 30.15 (SD 25.45), p = 0.15). The e-referral portal implementation program resulted in nearly triple the rate of smoker registration (31 % of all smokers referred registered online) versus comparison (11 %, p < 0.001). Clinical Effectiveness Trial results: Active smokers randomized to the personalized group had a 6-month cessation rate of 25.2 %, compared with the messaging group (26.7 %) and the control (17 %). Next, when using an inverse probability weighted selection model to account for attrition, those randomized to the two groups that received motivational messaging (messaging or personalized) were more likely to quit than those in the control (p = 0.04). CONCLUSIONS: Among all smokers referred, the e-referral resulted in nearly threefold greater registrants (31 %) than paper (11 %). The practice ePortal smokers received multiple reminders (increasing registration opportunities), and the practices could track patient progress. The result was more smokers registering and, thus, more cessation opportunities. Combining the proactive referral and the WATI resulted in higher rates of smoking cessation. TRIAL REGISTRATION: Web-delivered Provider Intervention for Tobacco Control (QUIT-PRIMO) - a randomized controlled trial: NCT00797628 .

A group-randomized trial of shared decision making for non-steroidal anti-inflammatory drug risk awareness: primary results and lessons learned.

RATIONALE, AIMS AND OBJECTIVES: Frequent use and serious adverse effects related to non-steroidal anti-inflammatory drugs (NSAIDs) underscore the need to raise patient awareness about potential risks. Partial success of patient- or provider-based interventions has recently led to interest in combined approaches focusing on both patient and physician. This research tested a shared decision-making intervention for increasing patient-reported awareness of NSAID risk. METHODS: A group randomized trial was performed in Alabama from 2005 to 2007. Intervention group doctor practices received continuing medical education (CME) about NSAIDs and patient activation tools promoting risk assessment and communication during visits. Comparison group doctor practices received only CME. Cross-sectional data were collected before and after the intervention. Generalized linear latent and mixed models with logistic link tested relationships among the intervention, study phase, intervention by study phase interaction and patient-reported awareness of risks with either prescription or over-the-counter (OTC) NSAIDs. RESULTS: Three hundred and forty-seven patients at baseline and 355 patients at follow-up participated in this study. The intervention [adjusted odds ratio (AOR)=0.74, P=0.248], follow-up study phase (AOR=1.31, P=0.300) and intervention by study phase interaction (AOR=0.98, P=0.942) were not significantly associated with patient-reported awareness of any prescription NSAID risk. Follow-up study phase was associated with increased odds of reporting any OTC NSAID risk awareness (AOR=2.99, P<0.001), but the patient activation intervention and intervention by study phase interaction were not significantly associated with patient-reported awareness of any OTC NSAID risk (AOR=0.98, P=0.929; AOR=0.87, P=0.693, respectively). CONCLUSIONS: Our point-of-care intervention encouraging shared decision making did not increase NSAID risk awareness.

Exploration of an automated approach for receiving patient feedback after outpatient acute care visits.

BACKGROUND: To improve and learn from patient outcomes, particularly under new care models such as Accountable Care Organizations and Patient-Centered Medical Homes, requires establishing systems for follow-up and feedback. OBJECTIVE: To provide post-visit feedback to physicians on patient outcomes following acute care visits. DESIGN: A three-phase cross-sectional study [live follow-up call three weeks after acute care visits (baseline), one week post-visit live call, and one week post-visit interactive voice response system (IVRS) call] with three patient cohorts was conducted. A family medicine clinic and an HIV clinic participated in all three phases, and a cerebral palsy clinic participated in the first two phases. Patients answered questions about symptom improvement, medication problems, and interactions with the healthcare system. PATIENTS: A total of 616 patients were included: 142 from Phase 1, 352 from Phase 2 and 122 from Phase 3. MAIN MEASURES: Primary outcomes included: problem resolution, provider satisfaction with the system, and comparison of IVRS with live calls made by research staff. KEY RESULTS: During both live follow-up phases, at least 96% of patients who were reached completed the call compared to only 48% for the IVRS phase. At baseline, 98 of 113 (88%) patients reported improvement, as well as 167 of 196 (85%) in the live one-week follow-up. In the one-week IVRS phase, 25 of 39 (64%) reported improvement. In all phases, the majority of patients in both the improved and unimproved groups had not contacted their provider or another provider. While 63% of providers stated they wanted to receive patient feedback, they varied in the extent to which they used the feedback reports. CONCLUSIONS: Many patients who do not improve as expected do not take action to further address unresolved problems. Systematic follow-up/feedback mechanisms can potentially identify and connect such patients to needed care.

Smoking-cessation e-referrals: a national dental practice-based research network randomized controlled trial.

BACKGROUND: Tobacco use is still the leading preventable cause of death and morbidity in the U.S. Web-assisted tobacco interventions are an effective but underutilized tool in assisting smokers with quitting. The dental visit is an excellent opportunity to assist smokers in quitting by referring them to these tobacco-cessation online programs. PURPOSE: The study purpose was to test two patient referral methods-paper referrals (information prescriptions) versus paper plus e-referrals-to a web-assisted smoking-cessation induction system. DESIGN: RCT that used implementation research methods. PARTICIPANTS/SETTING: A total of 100 community-based dental practices were enrolled and 1814 smokers were referred to the web-assisted tobacco induction system. INTERVENTION: The study intervention was a proactive e-referral of smokers to a web-assisted tobacco induction system called Decide2Quit.org, and the control group used paper referrals (information prescriptions) to refer smokers to the Decide2Quit.org. MAIN OUTCOME MEASUREMENTS: The outcome measurements were the referral numbers, Decide2Quit registration numbers, and the smokers' quit rate. Data were collected in 2010-2011 and analyses were completed in 2012. RESULTS: Although total referrals from intervention practices was lower than control, subsequent proportions of registrations among smokers referred to Decide2Quit.org were nearly fourfold higher (adjusted mean percentages: 29.5% vs 7.6%, p<0.01) in intervention compared with control practices. Subsequent rates of cessation among referred smokers were threefold higher (adjusted mean percentages: 3.0% vs 0.8%, p=0.03) in intervention practices as compared with control. CONCLUSIONS: Intervention practices using the e-referral system had higher smoker registration numbers and higher quit smoking rates than the control practices. This study finds that e-referrals are effective in getting smokers to the web-assisted smoking-cessation induction system and in assisting with quitting that more than compensates for any additional effort that e-referrals require on the part of the practitioner. CLINICAL TRIAL REGISTRATION: DPBRN Hygienists Internet Quality Improvement in Tobacco Cessation (HiQuit); NCT01108432.

Cost implications of human and automated follow-up in ambulatory care.

OBJECTIVES: To compare the costs of human and automated follow-up processes in ambulatory care. STUDY DESIGN: Analysis of costs of nurse-initiated and interactive voice response (IVR) system follow-up interventions. METHODS: Using national cost data and data on follow-up processes and outcomes from a previous study, we examined the costs to the healthcare system and providers of developing a follow-up process using nurse-initiated telephone calls compared with calls made by an IVR. RESULTS: Whether using nurse-initiated telephone calls or IVR calls, costs over the first 2 years of follow-up for a practice assumed to have 4800 acute care patient visits per year are approximately the same. After 2 years, IVR follow-up is approximately $9000 per year less expensive than nurse follow-up. In addition, overall cost savings are greater with IVR. CONCLUSIONS: Follow-up of ambulatory care patients is a way to assess risks of future problems and associated costs and to improve quality of care. An automated follow-up process using IVR is more efficient than one based on nurse-initiated follow-up calls.

Implementing point of care "e-referrals" in 137 clinics to increase access to a quit smoking internet system: the Quit-Primo and National Dental PBRN HI-QUIT Studies.

Integrating electronic referral systems into clinical practices may increase use of web-accessible tobacco interventions. We report on our feasibility evaluation of using theory-driven implementation science techniques to translate an e-referral system (ReferASmoker.org) into the workflow of 137 community-based medical and dental practices, including system use, patient registration, implementation costs, and lessons learned. After 6 months, 2,376 smokers were e-referred (medical, 1,625; dental, 751). Eighty-six percent of the medical practices [75/87, mean referral = 18.7 (SD = 17.9), range 0-105] and dental practices [43/50, mean referral = 15.0 (SD = 10.5), range 0-38] had e-referred. Of those smokers e-referred, 25.3 registered [mean smoker registration rate-medical 4.9 (SD = 7.6, range 0-59), dental 3.6 (SD = 3.0, range 0-10)]. Estimated mean implementation costs are medical practices, US$429.00 (SD = 85.3); and dental practices, US$238.75 (SD = 13.6). High performing practices reported specific strategies to integrate ReferASmoker.org; low performers reported lack of smokers and patient disinterest in the study. Thus, a majority of practices e-referred and 25.3 % of referred smokers registered demonstrating e-referral feasibility. However, further examination of the identified implementation barriers is important as of the estimated 90,000 to 140,000 smokers seen in the 87 medical practices in 6 months, only 1,625 were e-referred.

Variations in tobacco control in National Dental PBRN practices: the role of patient and practice factors.

We engaged dental practices enrolled in The National Dental Practice-Based Research Network to quantify tobacco screening (ASK) and advising (ADVISE); and to identify patient and practice -characteristics associated with tobacco control. Dental practices (N = 190) distributed patient surveys that measured ASK and ADVISE. Twenty-nine percent of patients were ASKED about tobacco use during visit, 20% were identified as tobacco users, and 41% reported being ADVISED. Accounting for clustering of patients within practices, younger age and male gender were positively associated with ASK and ADVISE. Adjusting for patient age and gender, a higher proportion of non-whites in the practice, preventive services and proportion on public assistance were positively associated with ASK. Proportion of tobacco users in the practice and offering other preventive services were more strongly associated with ASK and ADVISE than other practice characteristics. Understanding variations in performance is an important step toward designing strategies for improving tobacco control in dentistry.

Crowdsourced peer- versus expert-written smoking-cessation messages.

BACKGROUND: Tailored, web-assisted interventions can reach many smokers. Content from other smokers (peers) through crowdsourcing could enhance relevance. PURPOSE: To evaluate whether peers can generate tailored messages encouraging other smokers to use a web-assisted tobacco intervention (Decide2Quit.org). METHODS: Phase 1: In 2009, smokers wrote messages in response to scenarios for peer advice. These smoker-to-smoker (S2S) messages were coded to identify themes. Phase 2: resulting S2S messages, and comparison expert messages, were then e-mailed to newly registered smokers. In 2012, subsequent Decide2Quit.org visits following S2S or expert-written e-mails were compared. RESULTS: Phase 1: a total of 39 smokers produced 2886 messages (message themes: attitudes and expectations, improvements in quality of life, seeking help, and behavioral strategies). For not-ready-to-quit scenarios, S2S messages focused more on expectations around a quit attempt and how quitting would change an individual's quality of life. In contrast, for ready-to-quit scenarios, S2S messages focused on behavioral strategies for quitting. Phase 2: In multivariable analysis, S2S messages were more likely to generate a return visit (OR=2.03, 95% CI=1.74, 2.35), compared to expert messages. A significant effect modification of this association was found, by time-from-registration and message codes (both interaction terms p<0.01). In stratified analyses, S2S codes that were related more to "social" and "real-life" aspects of smoking were driving the main association of S2S and increased return visits. CONCLUSIONS: S2S peer messages that increased longitudinal engagement in a web-assisted tobacco intervention were successfully collected and delivered. S2S messages expanded beyond the biomedical model to enhance relevance of messages. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov NCT00797628 (web-delivered provider intervention for tobacco control [QUIT-PRIMO]) and NCT01108432 (DPBRN Hygienists Internet Quality Improvement in Tobacco Cessation [HiQuit]).

Telephone follow-up in primary care: can interactive voice response calls work?

UNLABELLED: Follow-up calls after ambulatory visits are not routinely done, yet they can potentially detect and mitigate unresolved problems. Automated calls via an Interactive Voice Response System (IVRS) are an innovative way to conduct follow-up, but patients' attitudes toward follow-up calls are unknown. This study assessed 1) patient perceptions about follow-up calls after visits; 2) differences in perceptions between human and IVRS calls; and 3) association between follow-up calls and patient satisfaction with care. Post-visit follow-up calls in two ambulatory care setting were done in two phases. Phase 1 used a human caller and phase 2 used IVRS. Patient satisfaction questionnaires were completed after each phase. Results showed that 88% of patients favor the idea of the calls and those receiving them found them helpful. There were no differences in attitudes between patients receiving calls from clinic staff or from an IVRS. Patients receiving calls had higher patient satisfaction scores than those not called. CONCLUSION: Patients value follow-up calls and they are associated with patient satisfaction with care. IVRS is an innovative way to conduct post-visit follow-up.

Who participates in Web-assisted tobacco interventions? The QUIT-PRIMO and National Dental Practice-Based Research Network Hi-Quit studies.

INTRODUCTION: Smoking is the most preventable cause of death. Although effective, Web-assisted tobacco interventions are underutilized and recruitment is challenging. Understanding who participates in Web-assisted tobacco interventions may help in improving recruitment. OBJECTIVES: To understand characteristics of smokers participating in a Web-assisted tobacco intervention (Decide2Quit.org). METHODS: In addition to the typical Google advertisements, we expanded Decide2Quit.org recruitment to include referrals from medical and dental providers. We assessed how the expanded recruitment of smokers changed the users' characteristics, including comparison with a population-based sample of smokers from the national Behavioral Risk Factors Surveillance Survey (BRFSS). Using a negative binomial regression, we compared demographic and smoking characteristics by recruitment source, in particular readiness to quit and association with subsequent Decide2Quit.org use. RESULTS: The Decide2Quit.org cohort included 605 smokers; the 2010 BRFSS dataset included 69,992. Compared to BRFSS smokers, a higher proportion of Decide2Quit.org smokers were female (65.2% vs 45.7%, P=.001), over age 35 (80.8% vs 67.0%, P=.001), and had some college or were college graduates (65.7% vs 45.9%, P=.001). Demographic and smoking characteristics varied by recruitment; for example, a lower proportion of medical- (22.1%) and dental-referred (18.9%) smokers had set a quit date or had already quit than Google smokers (40.1%, P<.001). Medical- and dental-referred smokers were less likely to use Decide2Quit.org functions; in adjusted analysis, Google smokers (predicted count 17.04, 95% CI 14.97-19.11) had higher predicted counts of Web page visits than medical-referred (predicted count 12.73, 95% CI 11.42-14.04) and dental-referred (predicted count 11.97, 95% CI 10.13-13.82) smokers, and were more likely to contact tobacco treatment specialists. CONCLUSIONS: Recruitment from clinical practices complimented Google recruitment attracting smokers less motivated to quit and less experienced with Web-assisted tobacco interventions.

Cluster-randomized trial of a web-assisted tobacco quality improvement intervention of subsequent patient tobacco product use: a National Dental PBRN study.

BACKGROUND: Brief clinician delivered advice helps in tobacco cessation efforts. This study assessed the impact of our intervention on instances of advice given to dental patients during visits on tobacco use quit rates 6 months after the intervention. METHODS: The intervention was cluster randomized trial at the dental practice level. Intervention dental practices were provided a longitudinal technology-assisted intervention, oralcancerprevention.org that included a series of interactive educational cases and motivational email cues to remind dental provides to complete guideline-concordant brief behavioral counseling at the point of care. In all dental practices, exit cards were given to the first 100 consecutive patients, in which tobacco users provided contact information for a six month follow-up telephone survey. RESULTS: A total of 564 tobacco using dental patients completed a six month follow-up survey. Among intervention patients, 55% reported receiving advice to quit tobacco, and 39% of control practice patients reported receiving advice to quit tobacco (p < 0.01). Six-month tobacco use quit rates were not significantly between the Intervention (9%) and Control (13%) groups, (p = 0.088). CONCLUSION: Although we increased rates of cessation advice delivered in dental practices, this study shows no evidence that brief advice by dentist's increases long-term abstinence in smokers. TRIAL REGISTRATION: ClinicalTrials.gov NCT00627185.

Closing the feedback loop: an interactive voice response system to provide follow-up and feedback in primary care settings.

In primary care settings, follow-up regarding the outcome of acute outpatient visits is largely absent. We sought to develop an automated interactive voice response system (IVRS) for patient follow-up with feedback to providers capable of interfacing with multiple pre-existing electronic medical records (EMRs). A system was designed to extract data from EMRs, integrate with the IVRS, call patients for follow-up, and provide a feedback report to providers. Challenges during the development process were analyzed and summarized. The components of the technological solution and details of its implementation are reported. Lessons learned include: (1) Modular utilization of system components is often needed to adapt to specific clinic workflow and patient population needs (2) Understanding the local telephony environment greatly impacts development and is critical to success, and (3) Ample time for development of the IVRS questionnaire (mapping all branching paths) and speech recognition tuning (sensitivity, use of barge-in tuning, use of "known voice") is needed. With proper attention to design and development, modular follow-up and feedback systems can be integrated into existing EMR systems providing the benefits of IVRS follow-up to patients and providers across diverse practice settings.

Using a resource effect study pre-pilot to inform a large randomized trial: the Decide2Quit.Org Web-assisted tobacco intervention.

Resource effect studies can be useful in highlighting areas of improvement in informatics tools. Before a large randomized trial, we tested the functions of the Decide2Quit.org Web-assisted tobacco intervention using smokers (N=204) recruited via Google advertisements. These smokers were given access to Decide2Quit.org for six months and we tracked their usage and assessed their six months cessation using a rigorous follow-up. Multiple, interesting findings were identified: we found the use of tailored emails to dramatically increase participation for a short period. We also found varied effects of the different functions. Functions supporting "seeking social support" (Your Online Community and Family Tools), Healthcare Provider Tools, and the Library had positive effects on quit outcomes. One surprising finding, which needs further investigation, was that writing to our Tobacco Treatment Specialists was negatively associated with quit outcomes.