Many reasons offered by physicians for not intensifying medications suggest that low rates of intensification do not necessarily reflect poor quality of care. The empirically derived model of clinical inaction can be used as a guide to construct performance measures for monitoring clinical inertia that better focus on true quality problems.
Narrative communication is an emerging form of persuasive communication used in health education to solicit actual patient stories. Eliciting a narrative is an open-ended process and may or may not map to desired intervention objectives or underlying behavioral constructs. In addition, incorporating actual, unscripted narratives into multimedia interventions is challenging. The authors evaluated a protocol of editing narratives for a multimedia intervention to promote smoking cessation in the African American community that maintains fidelity to the original message and was related to behavioral constructs from social cognitive theory. The authors used four steps: (a) narrative collection (videotaping), (b) narrative review (rating of content), (c) narrative editing (documentary style), and (d) pilot testing (usability and assessment of transportation). The authors videotaped 50 personal smoking cessation narratives. After coding for presence of theoretical constructs, perceived risks of smoking (present in 53% of narratives) was the most common related behavioral construct. Four narratives were chosen for inclusion in the DVD. Pilot testing showed viewers reported high level of transportation into the narrative. The authors found that some behavioral constructs were rare and difficult to solicit in this population but that the final product was engaging to the viewers. Lessons learned may be useful for other video-based behavioral interventions that incorporate personal narratives.
A wide-reach, low-intensity, Web-based interactive multi-component intervention did not improve control of glucose, BP or lipids for patients with diabetes of physicians practicing in the rural Southeastern US.
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 emailed 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.
BackgroundPatient self-management interventions for smoking cessation are effective but underused. Health care providers do not routinely refer smokers to these interventions.ObjectiveThe 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.MethodsWe 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.ResultsOur 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).ConclusionsImplementing 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.TrialClinicaltrials.gov NCT00797628; http://clinicaltrials.gov/ct2/show/NCT00797628 (Archived by WebCite at http://www.webcitation.org/61feCfjCy)
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