Jessica H. Williams

Reasons for Not Intensifying Medications: Differentiating “Clinical Inertia” from Appropriate Care

Background“Clinical inertia” has been defined as inaction by physicians caring for patients with uncontrolled risk factors such as blood pressure. Some have proposed that it accounts for up to 80% of cardiovascular events, potentially an important quality problem. However, reasons for so-called clinical inertia are poorly understood.ObjectiveTo derive an empiric conceptual model of clinical inertia as a subset of all clinical inactions from the physician perspective.MethodsWe used Nominal Group panels of practicing physicians to identify reasons why they do not intensify medications when seeing an established patient with uncontrolled blood pressure.Measurements and Main ResultsWe stopped at 2 groups (N = 6 and 7, respectively) because of the high degree of agreement on reasons for not intensifying, indicating saturation. A third group of clinicians (N = 9) independently sorted the reasons generated by the Nominal Groups. Using multidimensional scaling and hierarchical cluster analysis, we translated the sorting results into a cognitive map that represents an empirically derived model of clinical inaction from the physician’s perspective. The model shows that much inaction may in fact be clinically appropriate care.Conclusions/RecommendationsMany 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.

The Art and Science of Patient Storytelling—Harnessing Narrative Communication for Behavioral Interventions: The ACCE Project

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.

Development of an Interactive, Web-Delivered System to Increase Provider–Patient Engagement in Smoking Cessation

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)

Stories to Communicate Risks about Tobacco: Development of a Brief Scale to Measure Transportation into a Video Story--The ACCE Project.

Objective: To evaluate the construct and criterion validity of the Video Transportation Scale (VTS). Setting: Inpatient service of a safety net hospital in Birmingham, Alabama, USA. Method: We administered the VTS in the context of a randomized controlled trial of a DVD-delivered narrative-based intervention (stories) designed to encourage smoking cessation among hospitalized patients. Results: Factor analysis yielded a two-factor solution relating to engagement and attentional focus. Patients receiving the stories-based intervention had a higher score for engagement than control but stories patients and controls did not differ in reported attentional focus. The engagement factor demonstrated predictive validity in that patients with higher scores were more likely to report quitting smoking at two weeks. Conclusion: The VTS provides a rapid assessment of transportation that can be used in applied settings using video-based narratives.

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. Trial Registration Clinicaltrials.gov NCT00797628; http://clinicaltrials.gov/ct2/show/NCT00797628 (Archived by WebCite at http://www.webcitation.org/6F3tqz0b3)

Impact of content-specific email reminders on provider participation in an online intervention: a dental PBRN study

Engaging busy healthcare providers in online continuing education interventions is challenging. In an Internet-delivered intervention for dental providers, we tested a series of email-delivered reminders - cues to action. The intervention included case-based education and downloadable practice tools designed to encourage providers to increase delivery of smoking cessation advice to patients. We compared the impact of email reminders focused on 1) general project announcements, 2) intervention related content (smoking cessation), and 3) unrelated content (oral cancer prevention focused content). We found that email reminders dramatically increased participation. The content of the message had little impact on the participation, but day of the week was important - messages sent at the end of the week had less impact, likely due to absence from clinic on the weekend. Email contact, such as day of week an email is sent and notice of new content post-ing, is critical to longitudinal engagement. Further research is needed to understand which messages and how frequently, will maximize participation.

Recruitment of rural physicians in a diabetes internet intervention study: overcoming challenges and barriers.

PURPOSE This paper highlights a descriptive study of the challenges and lessons learned in the recruitment of rural primary care physicians into a randomized clinical trial using an Internet-based approach. METHODS A multidisciplinary/multi-institutional research team used a multilayered recruitment approach, including generalized mailings and personalized strategies such as personal office visits, letters, and faxes to specific contacts. Continuous assessment of recruitment strategies was used throughout study in order to readjust strategies that were not successful. RESULTS We recruited 205 primary care physicians from 11 states. The 205 lead physicians who enrolled in the study were randomized, and the overall recruitment yield was 1.8% (205/11231). In addition, 8 physicians from the same practices participated and 12 nonphysicians participated. The earlier participants logged on to the study Web site, the greater yield of participation. Most of the study participants had logged on within 10 weeks of the study. CONCLUSION Despite successful recruitment, the 2 major challenges in recruitment in this study included defining a standardized definition of rurality and the high cost of chart abstractions. Because many of the patients of study recruits were African American, the potential implications of this study on the field of health disparities in diabetes are important.

Patient Complexity and Diabetes Quality of Care in Rural Settings

PURPOSE Even though pay-for-performance programs are being rapidly implemented, little is known about how patient complexity affects practice-level performance assessment in rural settings. We sought to determine the association between patient complexity and practice-level performance in the rural United States. BASIC PROCEDURES Using baseline data from a trial aimed at improving diabetes care, we determined factors associated with a practices proportion of patients having controlled diabetes (hemoglobin A1c<or=7%): patient socioeconomic factors, clinical factors, difficulty with self-testing of blood glucose, and difficulty with keeping appointments. We used linear regression to adjust the practice-level proportion with A1c controlled for these factors. We compared practice rankings using observed and expected performance and classified practices into hypothetical pay-for-performance categories. MAIN FINDINGS Rural primary care practices (n=135) in 11 southeastern states provided information for 1641 patients with diabetes. For practices in the best quartile of observed control, 76.1% of patients had controlled diabetes vs 19.3% of patients in the worst quartile. After controlling for other variables, proportions of diabetes control were 10% lower in those practices whose patients had the greatest difficulty with either self testing or appointment keeping (p<.05 for both). Practice rankings based on observed and expected proportion of A1c control showed only moderate agreement in pay-for-performance categories (kappa=0.47; 95% confidence interval, 0.32-0.56; p<001). PRINCIPAL CONCLUSIONS Basing public reporting and resource allocation on quality assessment that does not account for patient characteristics may further harm this vulnerable group of patients and physicians.

Cognitive Mapping Tobacco Control Advice for Dentistry: A Dental PBRN Study

OBJECTIVE To identify facilitative strategies that could be used in developing a tobacco cessation program for community dental practices. METHODS Nominal group technique (NGT) meetings and a card-sort task were used to obtain formative data. A cognitive mapping approach involving multidimensional scaling and hierarchical cluster analysis was used for data analysis. RESULTS Three NGT meetings conducted with 23 dental professionals yielded 27 nonredundant facilitative strategies. A 2-dimensional 4-cluster cognitive map provided an organizational framework for understanding these strategies. CONCLUSION Views of the target population solicited in a structured format provided clear direction for designing a tobacco cessation intervention.

Health System Affiliation and 30-Day Readmission After Heart Attack in Black Men

INTRODUCTION Black patients who experience acute myocardial infarction and receive care in high minority-serving hospitals have higher readmission rates. This study explores how hospital system affiliation (centralized versus decentralized/independent) impacts 30-day readmissions after acute myocardial infarction in black men. METHODS In 2018, the Healthcare Cost and Utilization Project State Inpatient Database (2009-2013) was used to observe 30-day readmission for acute myocardial infarction by race, and data from the American Hospital Association Annual Survey of Hospitals (2009-2013) to determine hospital system affiliation for the states Arizona, California, North Carolina, and Wisconsin. A series of hierarchic logistic regressions were conducted to determine if hospital system affiliation mediates the relationship between race and 30-day readmission. RESULTS Of 63,743 hospitalizations for acute myocardial infarction among men between 2009 and 2013, black men accounted for 7.1% of hospitalizations and 8.0% of readmissions. In both models, race significantly predicted 30-day readmission (unadjusted OR=1.25, 95% CI=1.14, 1.37, p<0.001; AOR=1.13, 95% CI=1.03, 1.25, p=0.046). After controlling for system type, black men were more likely to be readmitted after acute myocardial infarction than white men in both models (unadjusted OR=1.25, 95% CI=1.14, 1.38, p<0.001; AOR=1.14, 95% CI=1.03, 1.25). There was no difference in odds of being readmitted by race and hospital system type (unadjusted OR=0.88, 95% CI=0.25, 3.07, p=0.84, AOR=1.02, 95% CI=0.21, 5.10, p=0.98). CONCLUSIONS Black men appear to be more likely to be readmitted after acute myocardial infarction. Centralization does not appear to mediate the relationship between race and 30-day readmissions for acute myocardial infarction. SUPPLEMENT INFORMATION This article is part of a supplement entitled African American Mens Health: Research, Practice, and Policy Implications, which is sponsored by the National Institutes of Health.