Search

Background Increased access to the Internet and the availability of efficacious eHealth interventions offer great promise for assisting adults with diabetes to change and maintain health behaviors. A key concern is whether levels of engagement in Internet programs are sufficient to promote and sustain behavior change. Objective This paper used automated data from an ongoing Internet-based diabetes self-management intervention study to calculate various indices of website engagement. The multimedia website involved goal setting, action planning, and self-monitoring as well as offering features such as “Ask an Expert” to enhance healthy eating, physical activity, and medication adherence. We also investigated participant characteristics associated with website engagement and the relationship between website use and 4-month behavioral and health outcomes. Methods We report on participants in a randomized controlled trial (RCT) who were randomized to receive (1) the website alone (n = 137) or (2) the website plus human support (n = 133) that included additional phone calls and group meetings. The website was available in English and Spanish and included features to enhance engagement and user experience. A number of engagement variables were calculated for each participant including number of log-ins, number of website components visited at least twice, number of days entering self-monitoring data, number of visits to the “Action Plan” section, and time on the website. Key outcomes included exercise, healthy eating, and medication adherence as well as body mass index (BMI) and biological variables related to cardiovascular disease risk. Results Of the 270 intervention participants, the average age was 60, the average BMI was 34.9 kg/m2, 130 (48%) were female, and 62 (23%) self-reported Latino ethnicity. The number of participant visits to the website over 4 months ranged from 1 to 119 (mean 28 visits, median 18). Usage decreased from 70% of participants visiting at least weekly during the first 6 weeks to 47% during weeks 7 to 16. There were no significant differences between website only and website plus support conditions on most of the engagement variables. In total, 75% of participants entered self-monitoring data at least once per week. Exercise action plan pages were visited more often than medication taking and healthy eating pages (mean of 4.3 visits vs 2.8 and 2.0 respectively, P < .001). Spearman nonparametric correlations indicated few significant associations between patient characteristics and summary website engagement variables, and key factors such as ethnicity, baseline computer use, age, health literacy, and education were not related to use. Partial correlations indicated that engagement, especially in self-monitoring, was most consistently related to improvement in healthy eating (r = .20, P = .04) and reduction of dietary fat (r = -.31, P = .001). There was also a significant correlation between self-monitoring and improvement in exercise (r = .20, P = .033) but not with medication taking. Conclusions Participants visited the website fairly often and used all of the theoretically important sections, but engagement decreased over 4 months. Usage rates and patterns were similar for a wide range of participants, which has encouraging implications for the potential reach of online interventions. Trial RegistrationNCT00987285; http://clinicaltrials.gov/show/NCT00987285 (Archived by WebCite at http://www.webcitation.org/5vpe4RHTV)

Introduction Alaska Native and American Indian (ANAI) peoples in Alaska currently experience a disproportionate burden of morbidity and mortality from tobacco cigarette use. Financial incentives for smoking cessation are evidence-based, but a family-level incentive structure has not been evaluated. We used a community-based participatory research and qualitative approach to culturally adapt a smoking cessation intervention with ANAI families. Aims and Methods We conducted individual, semistructured telephone interviews with 12 ANAI adults who smoke, 12 adult family members, and 13 Alaska Tribal Health System stakeholders statewide between November 2022 and March 2023. Through content analysis, we explored intervention receptivity, incentive preferences, culturally aligned recruitment and intervention messaging, and future implementation needs. Results Participants were receptive to the intervention. Involving a family member was viewed as novel and aligned with ANAI cultural values of commitment to community and familial interdependence. Major themes included choosing a family member who is supportive and understanding, keeping materials positive and encouraging, and offering cash and noncash incentives for family members to choose (eg, fuel, groceries, activities). Participants indicated that messaging should emphasize family collaboration and that cessation resources and support tips should be provided. Stakeholders also reinforced that program materials should encourage the use of other existing evidence-based cessation therapies (eg, nicotine replacement, counseling). Conclusions Adaptations, grounded in ANAI cultural strengths, were made to the intervention and recruitment materials based on participant feedback. Next steps include a beta-test for feasibility and a randomized controlled trial for efficacy. Implications This is the first study to design and adapt a financial incentives intervention promoting smoking cessation among ANAI peoples and the first to involve the family system. Feedback from this formative work was used to develop a meaningful family-level incentive structure with ANAI people who smoke and family members and ensure intervention messaging is supportive and culturally aligned. The results provide qualitative knowledge that can inform future family-based interventions with ANAI communities, including our planned randomized controlled trial of the intervention. [ABSTRACT FROM AUTHOR]

Much research focuses on producing maximal intervention effects. This has generally not resulted in interventions being rapidly or widely adopted or seen as feasible given resources, time, and expertise constraints in the majority of real-world settings. We present a definition and key characteristics of a minimum intervention needed to produce change (MINC). To illustrate use of a MINC condition, we describe a computer-assisted, interactive minimal intervention, titled Healthy Habits, used in three different controlled studies and its effects. This minimal intervention produced modest to sizable health behavior and psychosocial improvements, depending on the intensity of personal contacts, producing larger effects at longer-term assessments. MINC comparison conditions could help to advance both health care and health research, especially comparative effectiveness research. Policy and funding implications of requiring an intervention to be demonstrated more effective than a simpler, less costly MINC alternative are discussed.

The RE-AIM (reach, effectiveness, adoption, implementation, maintenance) framework, which provides a practical means of evaluating health interventions, has primarily been used in studies focused on changing individual behaviors. Given the importance of the built environment in promoting health, using REAIM to evaluate environmental approaches is logical. We discussed the benefits and challenges of applying RE-AIM to evaluate built environment strategies and recommended modest adaptations to the model. We then applied the revised model to 2 prototypical built environment strategies aimed at promoting healthful eating and active living. We offered recommendations for using REAIM to plan and implement strategies that maximize reach and sustainability, and provided summary measures that public health professionals, communities, and researchers can use in evaluating built environment interventions. (Am J Public Health. 2010; 100:2076-2084. doi: 10.2105/AJPH.2009.190959)

Mall walking has been a popular physical activity for decades. However, little is known about why mall managers support these programs or why adults choose to walk. Our study aim was to describe mall walking programs from the perspectives of walkers, managers, and leaders. Twenty-eight walkers, 16 walking program managers, and six walking program leaders from five states participated in a telephone or in-person semi-structured interview (N = 50). Interview guides were developed using a social-ecological model. Interviews were recorded, transcribed verbatim, and analyzed thematically. All informants indicated satisfaction with their program and environmental features. Differences in expectations were noted in that walkers wanted a safe, clean, and social place whereas managers and leaders felt a need to provide programmatic features. Given the favorable walking environments in malls, there is an opportunity for public health professionals, health care organizations, and providers of aging services to partner with malls to promote walking. [ABSTRACT FROM AUTHOR]

Background: Midlife and older adults use shopping malls for walking, but little research has examined mall characteristics that contribute to their walkability. Methods: We used modified versions of the Centers for Disease Control and Prevention (CDC)-Healthy Aging Research Network (HAN) Environmental Audit and the System for Observing Play and Recreation in Communities (SOPARC) tool to systematically observe 443 walkers in 10 shopping malls. We also observed 87 walkers in 6 community-based nonmall/nongym venues where older adults routinely walked for physical activity. Results: All venues had public transit stops and accessible parking. All malls and 67% of nonmalls had wayfinding aids, and most venues (81%) had an established circuitous walking route and clean, well-maintained public restrooms (94%). All venues had level floor surfaces, and one-half had benches along the walking route. Venues varied in hours of access, programming, tripping hazards, traffic control near entrances, and lighting. Conclusions: Despite diversity in location, size, and purpose, the mall and nonmall venues audited shared numerous environmental features known to promote walking in older adults and few barriers to walking. Future research should consider programmatic features and outreach strategies to expand the use of malls and other suitable public spaces for walking. [ABSTRACT FROM AUTHOR]