Cheryl Wiese

Web-Based Smoking-Cessation Programs : Results of a Randomized Trial

BACKGROUND Initial trials of web-based smoking-cessation programs have generally been promising. The active components of these programs, however, are not well understood. This study aimed to (1) identify active psychosocial and communication components of a web-based smoking-cessation intervention and (2) examine the impact of increasing the tailoring depth on smoking cessation. DESIGN Randomized fractional factorial design. SETTING Two HMOs: Group Health in Washington State and Henry Ford Health System in Michigan. PARTICIPANTS 1866 smokers. INTERVENTION A web-based smoking-cessation program plus nicotine patch. Five components of the intervention were randomized using a fractional factorial design: high- versus low-depth tailored success story, outcome expectation, and efficacy expectation messages; high- versus low-personalized source; and multiple versus single exposure to the intervention components. MEASUREMENTS Primary outcome was 7 day point-prevalence abstinence at the 6-month follow-up. FINDINGS Abstinence was most influenced by high-depth tailored success stories and a high-personalized message source. The cumulative assignment of the three tailoring depth factors also resulted in increasing the rates of 6-month cessation, demonstrating an effect of tailoring depth. CONCLUSIONS The study identified relevant components of smoking-cessation interventions that should be generalizable to other cessation interventions. The study also demonstrated the importance of higher-depth tailoring in smoking-cessation programs. Finally, the use of a novel fractional factorial design allowed efficient examination of the study aims. The rapidly changing interfaces, software, and capabilities of eHealth are likely to require such dynamic experimental approaches to intervention discovery.

The role of engagement in a tailored web-based smoking cessation program: randomized controlled trial.

Background Web-based programs for health promotion, disease prevention, and disease management often experience high rates of attrition. There are 3 questions which are particularly relevant to this issue. First, does engagement with program content predict long-term outcomes? Second, which users are most likely to drop out or disengage from the program? Third, do particular intervention strategies enhance engagement? Objective To determine: (1) whether engagement (defined by the number of Web sections opened) in a Web-based smoking cessation intervention predicts 6-month abstinence, (2) whether particular sociodemographic and psychographic groups are more likely to have lower engagement, and (3) whether particular components of a Web-based smoking cessation program influence engagement. Methods A randomized trial of 1866 smokers was used to examine the efficacy of 5 different treatment components of a Web-based smoking cessation intervention. The components were: high- versus low-personalized message source, high- versus low-tailored outcome expectation, efficacy expectation, and success story messages. Moreover, the timing of exposure to these sections was manipulated, with participants randomized to either a single unified Web program with all sections available at once, or sequential exposure to each section over a 5-week period of time. Participants from 2 large health plans enrolled to receive the online behavioral smoking cessation program and a free course of nicotine replacement therapy (patch). The program included: an introduction section, a section focusing on outcome expectations, 2 sections focusing on efficacy expectations, and a section with a narrative success story (5 sections altogether, each with multiple screens). Most of the analyses were conducted with a stratification of the 2 exposure types. Measures included: sociodemographic and psychosocial characteristics, Web sections opened, perceived message relevance, and smoking cessation 6-months following quit date. Results The total number of Web sections opened was related to subsequent smoking cessation. Participants who were younger, were male, or had less formal education were more likely to disengage from the Web-based cessation program, particularly when the program sections were delivered sequentially over time. More personalized source and high-depth tailored self-efficacy components were related to a greater number of Web sections opened. A path analysis model suggested that the impact of high-depth message tailoring on engagement in the sequentially delivered Web program was mediated by perceived message relevance. Conclusions Results of this study suggest that one of the mechanisms underlying the impact of Web-based smoking cessation interventions is engagement with the program. The source of the message, the degree of message tailoring, and the timing of exposure appear to influence Web-based program engagement.

TAILORING A FRUIT AND VEGETABLE INTERVENTION ON ETHNIC IDENTITY: RESULTS OF A RANDOMIZED STUDY

OBJECTIVE Many targeted interventions have been developed and tested with African Americans (AA); however, AAs are a highly heterogeneous group. One characteristic that varies across AAs is Ethnic Identity (EI). Little research has been conducted on how to incorporate EI into the design of health messages and programs. DESIGN We tested whether tailoring a print-based fruit and vegetable (F & V) intervention on EI would enhance program impact. AA adults were recruited from two integrated healthcare delivery systems and then randomized to receive three newsletters focused on F & V behavior change over three months. One set of newsletters was tailored only on demographic and social cognitive variables (control condition), whereas the other (experimental condition) was additionally tailored on EI. MAIN OUTCOME MEASURES The primary outcome for the study was F & V intake, assessed at baseline and three months later using the composite of two brief self-report frequency measures. RESULTS A total of 560 eligible participants were enrolled, of which 468 provided complete 3-month follow-up data. The experimental group increased their daily mean F & V intake by 1.1 servings compared to .8 servings in the control group (p = .13). Afrocentric experimental group participants showed a 1.4 increase in F & V servings per day compared to a .43 servings per day increase among Afrocentric controls (p < .05). CONCLUSIONS Although the overall between-group effects were not significant, tailoring dietary messages on ethnic identity may improve intervention impact for some AA subgroups.

Understanding high-quality cancer care: a summary of expert perspectives.

The Institute of Medicine (IOM) report Crossing the Quality Chasm proposed 6 aims for high‐quality healthcare: effective, safe, timely, efficient, equitable, and patient‐centered, and emphasized care coordination. Through interviews with nationally recognized experts in healthcare quality, perspectives on barriers and facilitators to achieving these aims for cancer patients were elicited.

Testing whether decision aids introduce cognitive biases: Results of a randomized trial

OBJECTIVE Women at high risk of breast cancer face a difficult decision whether to take medications like tamoxifen to prevent a first breast cancer diagnosis. Decision aids (DAs) offer a promising method of helping them make this decision. But concern lingers that DAs might introduce cognitive biases. METHODS We recruited 663 women at high risk of breast cancer and presented them with a DA designed to experimentally test potential methods of identifying and reducing cognitive biases that could influence this decision, by varying specific aspects of the DA across participants in a factorial design. RESULTS Participants were susceptible to a cognitive bias - an order effect - such that those who learned first about the risks of tamoxifen thought more favorably of the drug than women who learned first about the benefits. This order effect was eliminated among women who received additional information about competing health risks. CONCLUSION We discovered that the order of risk/benefit information influenced womens perceptions of tamoxifen. This bias was eliminated by providing contextual information about competing health risks. PRACTICE IMPLICATIONS We have demonstrated the feasibility of using factorial experimental designs to test whether DAs introduce cognitive biases, and whether specific elements of DAs can reduce such biases.

Insurance coverage and incentives for weight loss among adults with metabolic syndrome.

Objective: To describe how insured adults with metabolic syndrome respond to various options for insurance coverage and financial incentives for weight management.

Looking at Research Consent Forms Through a Participant-Centered Lens: The PRISM Readability Toolkit

Synopsis Communicating in lay language is an underdeveloped skill among many researchers—a limitation that contributes to low readability among research consent forms and may hinder participant understanding of study procedures and risks. We present the Project to Review and Improve Study Materials (PRISM) and its centerpiece, the PRISM Readability Toolkit. The toolkit provides strategies for creating study materials that are readable and participant centered, focusing on consent forms but also addressing other participant materials. Based on plain language principles, this free resource includes a flexible menu of tools, such as an editing checklist, before and after examples, easy-to-read template language, and a list of alternative words. Among PRISMs ongoing goals is to test the toolkit with populations groups.

Web-Based Smoking-Cessation Program: Results of a Randomized Trial

BACKGROUND Initial trials of web-based smoking-cessation programs have generally been promising. The active components of these programs, however, are not well understood. This study aimed to (1) identify active psychosocial and communication components of a web-based smoking-cessation intervention and (2) examine the impact of increasing the tailoring depth on smoking cessation. DESIGN Randomized fractional factorial design. SETTING Two HMOs: Group Health in Washington State and Henry Ford Health System in Michigan. PARTICIPANTS 1866 smokers. INTERVENTION A web-based smoking-cessation program plus nicotine patch. Five components of the intervention were randomized using a fractional factorial design: high- versus low-depth tailored success story, outcome expectation, and efficacy expectation messages; high- versus low-personalized source; and multiple versus single exposure to the intervention components. MEASUREMENTS Primary outcome was 7 day point-prevalence abstinence at the 6-month follow-up. FINDINGS Abstinence was most influenced by high-depth tailored success stories and a high-personalized message source. The cumulative assignment of the three tailoring depth factors also resulted in increasing the rates of 6-month cessation, demonstrating an effect of tailoring depth. CONCLUSIONS The study identified relevant components of smoking-cessation interventions that should be generalizable to other cessation interventions. The study also demonstrated the importance of higher-depth tailoring in smoking-cessation programs. Finally, the use of a novel fractional factorial design allowed efficient examination of the study aims. The rapidly changing interfaces, software, and capabilities of eHealth are likely to require such dynamic experimental approaches to intervention discovery.

Web-Based Smoking-Cessation Programs

BACKGROUND Initial trials of web-based smoking-cessation programs have generally been promising. The active components of these programs, however, are not well understood. This study aimed to (1) identify active psychosocial and communication components of a web-based smoking-cessation intervention and (2) examine the impact of increasing the tailoring depth on smoking cessation. DESIGN Randomized fractional factorial design. SETTING Two HMOs: Group Health in Washington State and Henry Ford Health System in Michigan. PARTICIPANTS 1866 smokers. INTERVENTION A web-based smoking-cessation program plus nicotine patch. Five components of the intervention were randomized using a fractional factorial design: high- versus low-depth tailored success story, outcome expectation, and efficacy expectation messages; high- versus low-personalized source; and multiple versus single exposure to the intervention components. MEASUREMENTS Primary outcome was 7 day point-prevalence abstinence at the 6-month follow-up. FINDINGS Abstinence was most influenced by high-depth tailored success stories and a high-personalized message source. The cumulative assignment of the three tailoring depth factors also resulted in increasing the rates of 6-month cessation, demonstrating an effect of tailoring depth. CONCLUSIONS The study identified relevant components of smoking-cessation interventions that should be generalizable to other cessation interventions. The study also demonstrated the importance of higher-depth tailoring in smoking-cessation programs. Finally, the use of a novel fractional factorial design allowed efficient examination of the study aims. The rapidly changing interfaces, software, and capabilities of eHealth are likely to require such dynamic experimental approaches to intervention discovery.

Challenges in Researching Racially Sensitive Topics in HMOs

When research designed to close the disparities gap is conducted in real-world health care settings, unique sensitivities may arise, particularly when race is the focus of interventions. Researchers encountered this issue in the course of a randomized trial investigating the influence of ethnic identity (EI) among African American (AA) study participants. The study was conducted by the research programs at three health maintenance organizations (HMOs) and the University of Michigan Center for Health Communications Research, as described in this issue of the journal (Resnicow et al., 2009). This commentary describes the research partnerships concerns for the racially sensitive nature of the study and the precautions undertaken to mitigate them. The research studys experiences may be informative and insightful for health plans and research centers invested in health disparities research.