Kathryn Delaughter
University of Massachusetts Medical School
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Journal of Medical Internet Research | 2011
Rajani S. Sadasivam; Kathryn Delaughter; Katie Crenshaw; Heather J. Sobko; Jessica H. Williams; Heather L. Coley; Midge N. Ray; Daniel E. Ford; J. Allison; Thomas K. Houston
Background Patient self-management interventions for smoking cessation are effective but underused. Health care providers do not routinely refer smokers to these interventions. Objective The objective of our study was to uncover barriers and facilitators to the use of an e-referral system that will be evaluated in a community-based randomized trial. The e-referral system will allow providers to refer smokers to an online smoking intervention during routine clinical care. Methods We devised a four-step development and pilot testing process: (1) system conceptualization using Delphi to identify key functionalities that would overcome barriers in provider referrals for smoking cessation, (2) Web system programming using agile software development and best programming practices with usability refinement using think-aloud testing, (3) implementation planning using the nominal group technique for the effective integration of the system into the workflow of practices, and (4) pilot testing to identify practice recruitment and system-use barriers in real-world settings. Results Our Delphi process (step 1) conceptualized three key e-referral functions: (1) Refer Your Smokers, allowing providers to e-refer patients at the point of care by entering their emails directly into the system, (2) practice reports, providing feedback regarding referrals and impact of smoking-cessation counseling, and (3) secure messaging, facilitating provider–patient communication. Usability testing (step 2) suggested the system was easy to use, but implementation planning (step 3) suggested several important approaches to encourage use (eg, proactive email cues to encourage practices to participate). Pilot testing (step 4) in 5 practices had limited success, with only 2 patients referred; we uncovered important recruitment and system-use barriers (eg, lack of study champion, training, and motivation, registration difficulties, and forgetting to refer). Conclusions Implementing a system to be used in a clinical setting is complex, as several issues can affect system use. In our ongoing large randomized trial, preliminary analysis with the first 50 practices using the system for 3 months demonstrated that our rigorous preimplementation evaluation helped us successfully identify and overcome these barriers before the main trial. Trial Clinicaltrials.gov NCT00797628; http://clinicaltrials.gov/ct2/show/NCT00797628 (Archived by WebCite at http://www.webcitation.org/61feCfjCy)
Journal of Medical Internet Research | 2013
Rajani S. Sadasivam; Rebecca L. Kinney; Kathryn Delaughter; Sowmya R. Rao; Jessica H. Williams; Heather L. Coley; Midge N. Ray; Gregg H. Gilbert; J. Allison; Daniel E. Ford; Thomas K. Houston
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. Trial Registration Clinicaltrials.gov NCT00797628; http://clinicaltrials.gov/ct2/show/NCT00797628 (Archived by WebCite at http://www.webcitation.org/6F3tqz0b3)
JMIR Serious Games | 2016
Kathryn Delaughter; Rajani S. Sadasivam; Ariana Kamberi; Thomas M. English; Greg L Seward; S Wayne Chan; Julie E. Volkman; Daniel J. Amante; Thomas K. Houston
Background Smoking is still the number one preventable cause of death. Cravings—an intense desire or longing for a cigarette—are a major contributor to quit attempt failure. New tools to help smokers’ manage their cravings are needed. Objective To present a case study of the development process and testing of a distraction/motivation game (Crave-Out) to help manage cravings. Methods We used a phased approach: in Phase 1 (alpha testing), we tested and refined the game concept, using a Web-based prototype. In Phase 2 (beta testing), we evaluated the distraction/motivation potential of the mobile game prototype, using a prepost design. After varying duration of abstinence, smokers completed the Questionnaire of Smoking Urge-Brief (QSU-Brief) measurement before and after playing Crave-Out. Paired t tests were used to compare pregame and postgame QSU-Brief levels. To test dissemination potential, we released the game on the Apple iTunes App Store and tracked downloads between December 22, 2011, and May 5, 2014. Results Our concept refinement resulted in a multilevel, pattern memory challenge game, with each level increasing in difficulty. Smokers could play the game as long as they wanted. At the end of each level, smokers were provided clear goals for the next level and rewards (positive reinforcement using motivational tokens that represented a benefit of quitting smoking). Negative reinforcement was removed in alpha testing as smokers felt it reminded them of smoking. Measurement of QSU-Brief (N=30) resulted in a pregame mean of 3.24 (SD 1.65) and postgame mean of 2.99 (SD 1.40) with an overall decrease of 0.25 in cravings (not statistically significant). In a subset analysis, the QSU-Brief decrease was significant for smokers abstinent for more than 48 hours (N=5) with a pregame mean of 2.84 (SD 1.16) and a postgame mean of 2.0 (SD 0.94; change=0.84; P =.03). Between December 22, 2011, and May 29, 2014, the game was downloaded 3372 times from the App-Store, with 1526 smokers visiting the online resource www.decide2quit.org linked to the game. Conclusions Overall, playing the game resulted in small, but nonsignificant decreases in cravings, with changes greater for those had already quit for more than 48 hours. Lessons learned can inform further development. Future research could incorporate mHealth games in multicomponent cessation interventions. Trial Registration Clinicaltrials.gov NCT00797628; https://clinicaltrials.gov/ct2/show/NCT00797628 (Archived by WebCite at http://www.webcitation.org/6hbJr6LWG)
Medical Care | 2017
Thomas K. Houston; Gemmae M. Fix; Stephanie L. Shimada; Judith A. Long; Howard S. Gordon; Charlene Pope; Julie E. Volkman; J. Allison; Kathryn Delaughter; Michelle B. Orner; Barbara G. Bokhour
Background: Disparities in hypertension control persist for African American Veterans. Objective: To enhance cultural relevance of hypertension control self-management education, in a multisite, stratified randomized trial, we tested an interactive Veteran-to-Veteran storytelling digital video disk (DVD) intervention created with Veteran partners, versus an education-only DVD comparison. Methods: At 3 VA facilities, African American Veterans with uncontrolled hypertension were randomized to storytelling DVD intervention or didactic comparison DVD and followed for 6 months. We hypothesized that follow-up blood pressure (BP) would be lower among Veterans in the intervention group. Results: African American Veterans (N=619) were 92% male, 39% over age 65, most had a high-school education, over 50% of both the intervention and comparison group reported a household income of <
American Journal of Health Promotion | 2018
Jessica H. Williams; Kathryn Delaughter; Julie E. Volkman; Rajani S. Sadasivam; Midge N. Ray; Gregg H. Gilbert; Thomas K. Houston
20,000, and 40% had less than adequate health literacy. At baseline, mean intervention and comparison group BPs were 138/80 and 139/81 mm Hg, respectively; at 6 months, mean systolic BP (SBP) increased by 0.1 in the intervention group and by 1.9 for the comparison group; diastolic BP fell by 0.1 in the intervention group and rose by 0.2 in the comparison group. No differences between the intervention and control groups were statistically significant (all P>0.3). Site differences were large; at one, the intervention group improved while the comparison groups deteriorated, resulting in 6.3 and 3.9 mm Hg more improvement for the intervention group in SBP and diastolic BP (P=0.06 and 0.04), respectively; at the other 2 sites, there were positive and negative changes, all small, in the 2 measures, with minimal differences—one site favored the comparison group and the other, the intervention (these comparisons did not approach statistical significance (all P>0.20). In a secondary analysis stratified by baseline BP, there was no intervention effect among those with uncontrolled BP, but intervention patients who were in control at baseline were more likely to stay in control, compared with comparison [SBP increase by 6.3 mm Hg (SD=14.4) among intervention, and by 10.9 mm Hg (SD=16.9) in comparison, P=0.02]. Conclusions: In this multisite trial, we did not find a significant overall storytelling intervention effect (Clinicaltrials.gov Reg. #NCT01276197).
BMC Research Notes | 2014
Kathryn Delaughter; Julie E. Volkman; Barrett D. Phillips; Thomas K. Houston
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.
Patient Education and Counseling | 2016
Barbara G. Bokhour; Gemmae M. Fix; Howard S. Gordon; Judith A. Long; Kathryn Delaughter; Michelle B. Orner; Charlene Pope; Thomas K. Houston
BackgroundTelephone counseling Quitlines can support smoking cessation, but are under-utilized. We explored the use of smoker peer-referrals to increase use of a Quitline in Mississippi and Alabama.FindingsCollaborating with the Alabama and Mississippi Quitline, we piloted peer-referrals to Quitlines. Successful ‘quitters’ who had used the Quitline were contacted at routine follow-up and recruited to participate as a peer-referrer and refer their friends and family who smoked to the Quitline. Peer-referrers completed a training session, received a manual and a set of Quitline brochures a peer-referral forms. These peer-referral forms were then returned to the Quitline telephone counselors who proactively called the referred smokers. Of the initial potential pool of 96 who quit using the Quitline, 24 peer-referrers (75% Women, 29% African-American, and high school graduates/GED 67%) were recruited and initially agreed to participate as peer-referrers. Eleven of the 24 who initially agreed were trained, and of these 11, 4 (4%) actively referred 23 friends and family over 2 months. From these 23 new referrals, three intakes (100% Women, 66% African-American) were completed. Of the initial pool of 96, 4 (4%) actively participated in referring friends and family. Quitline staff and peer-referrers noted several barriers including: time-point in which potential peer-referrers were asked to participate, an ‘overwhelming’ referral form to use and limited ways to refer.ConclusionsThough ‘quitters’ were willing to agree to peer-refer, we received a minority of referrals. However, we identified several areas to improve this new method for increasing awareness and access to support systems like the Quitline for smokers who want to quit.
Translational behavioral medicine | 2013
Rajani S. Sadasivam; Timothy P. Hogan; Julie E. Volkman; Bridget Smith; Heather L. Coley; Jessica H. Williams; Kathryn Delaughter; Midge N. Ray; Gregg H. Gilbert; Daniel E. Ford; J. Allison; Thomas K. Houston
BMC Oral Health | 2013
Thomas K. Houston; Kathryn Delaughter; Midge N. Ray; Gregg H. Gilbert; J. Allison; Catarina I. Kiefe; Julie E. Volkman
Translational behavioral medicine | 2016
Sarah L. Cutrona; Rajani S. Sadasivam; Kathryn Delaughter; Ariana Kamberi; Julie E. Volkman; Nathan K. Cobb; Gregg H. Gilbert; Midge N. Ray; Thomas K. Houston