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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/m(2), 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

PURPOSE In 30 small, independent primary care practices, we examined the association between clinician-reported use of elements of the Chronic Care Model (CCM) and diabetic patients’ hemoglobin A1c (HbA1c) and lipid levels and self-reported receipt of care. METHODS Ninety clinicians (60 physicians, 17 nurse-practitioners, and 13 physician’s assistants) completed a questionnaire assessing their use of elements of the CCM on a 5-point scale (never, rarely, occasionally, usually, and always). A total of 886 diabetic patients reported their receipt of various diabetes care services. We computed a clinical care composite score that included patient-reported assessments of blood pressure, lipids, microalbumin, and HbA1c; foot examinations; and dilated retinal examinations. We computed a behavioral care composite score from patient-reported support from their clinician in setting self-management goals, obtaining nutrition education or therapy, and receiving encouragement to self-monitor their glucose. HbA1c values and lipid profiles were obtained by independent laboratory assay. We used multilevel regression models for analyses to account for the hierarchical nature of the data. RESULTS Clinician-reported use of elements of CCM was significantly associated with lower HbA1c values (P = .002) and ratios of total cholesterol to high-density lipoprotein cholesterol (P = .02). For every unit increase in clinician-reported CCM use (eg, from “rarely” to “occasionally”), there was an associated 0.30% reduction in HbA1c value and 0.17 reduction in the lipid ratio. Clinician use of the CCM elements was also significantly associated with the behavioral composite score (P = .001) and was marginally associated with the clinical care composite score (P = .07). CONCLUSIONS Clinicians in small independent primary care practices are able to incorporate elements of the CCM into their practice style, often without major structural change in the practice, and this incorporation is associated with higher levels of recommended processes and better intermediate outcomes of diabetes care.

Background: Physical activity (PA) is important for management of diabetes, yet practical interventions that achieve sustained behavior change are rare.Purpose: The goals of this research were to evaluate the effectiveness of a multifaceted PA intervention for people with type 2 diabetes that emphasized participant choice in activity selection. Baseline activity patterns were examined to determine whether they predicted changes in PA at 2 months.Methods: Three hundred thirty-five participants were recruited from 42 primary care physicians and then randomized to either a computer-assisted, tailored self-management intervention (N = 174) or health risk appraisal with feedback control (N = 161). Primary outcome measures included the Community Healthy Activities Model Program for Seniors Questionnaire, diet, and psychosocial assessments at baseline and 2 months.Results: For 301 participants who completed the 2-month follow-up, the intervention significantly improved all PA (p 3.0, p < .01) relative to controls. Baseline cluster analyses grouped participant activity patterns into three categories. At 2 months, cluster assignment differentially predicted change in calories expended in moderate, rote, sport, and lifestyle PA.Conclusions: A computer-assisted, multifaceted approach to PA demonstrated improvement after 2 months. The results suggest that individuals are capable of adjusting their activity patterns to maximize their PA.

A major problem in the dissemination of most interventions found to be efficacious is that they are of limited or unknown generalizability.To document the "robustness," or external validity, of a computer-assisted diabetes self-management program across different patient characteristics, healthcare settings (mixed payer vs health maintenance organization), intervention staff, and outcomes.A randomized controlled trial evaluating a computer-assisted behavior change program for adult patients with type 2 diabetes mellitus (n = 217) vs a computerized health risk assessment.Outcomes were identified using the RE-AIM framework and included program adoption among physicians, reach across patient groups, implementation, and behavioral (fat intake and physical activity) and biological (glycosylated hemoglobin and lipid levels) effectiveness measures.The program achieved 41% patient participation, variable adoption across healthcare settings (76% of health maintenance organization physicians vs 18% of non-health maintenance organization physicians participated), good implementation, and improvement in behavioral outcomes. There were few significant interactions between treatment condition and patient characteristics, type of healthcare setting, or interventionist experience on effectiveness measures.Patients and physicians were willing to participate in a computer-assisted dietary and physical activity goal-setting intervention, although participation varied by healthcare setting. Interventionists from different backgrounds successfully delivered the intervention, and the results appear robust across various patient and delivery characteristics.

There is a dearth of information on the extent to which diabetic patients receive care congruent with the chronic care model (CCM) and evidence-based behavioral counseling. This study evaluates a new instrument to fill this gap.A heterogeneous sample of 363 type 2 diabetic patients completed the original Patient Assessment of Chronic Illness Care (PACIC), along with additional items that allowed it to be scored according to the "5As" (ask, advise, agree, assist, and arrange) model of behavioral counseling. We evaluated relationships between survey scores and patient characteristics, quality of diabetes care, and self-management.Findings replicated those of the initial PACIC validation study but with a much larger sample of diabetic patients and more Latinos. Areas of CCM activities reported least often were goal setting/intervention tailoring and follow-up/coordination. The 5As scoring revealed that patients were least likely to receive assistance with problem solving and arrangement of follow-up support. Few demographic or medical characteristics were related to PACIC or 5As scores, but survey scores were significantly related to quality of diabetes care received and level of physical activity.The PACIC and the new 5As scoring method appear useful for diabetic patients. Its use is encouraged in future research and quality improvement studies.

OBJECTIVE: There is a well-documented gap between diabetes care guidelines and the services received by patients in almost all health care settings. This project reports initial results from a computer-assisted, patient-centered intervention to improve the level of recommended services received by patients from a wide variety of primary care providers. DESIGN AND SETTINGS: Eight hundred eighty-six patients with type 2 diabetes under the care of 52 primary care physicians participated in the Diabetes Priority Program. Physicians were stratified and randomized to intervention or control conditions and evaluated on 2 primary outcomes: number of recommended laboratory screenings and recommended patient-centered care activities completed. Secondary outcomes were evaluated using the Problem Areas in Diabetes scale and the Patient Health Questionnaire (PHQ)-9 depression scale, and the RE-AIM framework was used to evaluate potential for dissemination. RESULTS: The program was well-implemented and significantly improved both number of recommended laboratory assays (3.4 vs 3.1; P

This study reports on methods and strategies employed to increase participation rates in diabetes interventions and discusses the reach and representativeness of the Diabetes Priority Program.A passive mail-out procedure was used to contact patients of participating primary care physicians. Patients who did not return the refusal postcard were contacted. Several attempts were made to contact potential participants. Brochures, "wrong number" postcards, posters, and reports for clinic staff were strategies used to increase participation.The recruitment process resulted in a participation rate of 83% among patients who were contacted and eligible. These participants appeared to be representative of both nonparticipants and persons with diabetes in Colorado. In contrast, a low percentage of primary care physicians, estimated at 3%, took part in the program despite efforts to make the program brief, nonintrusive, and compatible with usual care.Recruitment is currently challenging and will become even more difficult with the privacy regulations that affect healthcare research and the public distrust of solicitations. To increase participation rates, it is important that the clinic staff promotes and supports the program, and that participant lists are accurate and adequate in size.

Background The Institute of Medicine recommends changing organizational policy as a key element of evidence-based practice (EBP) implementation; however, policy change alone may be insufficient to change provider practice behavior [1,2]. Engaging key organizational stakeholders in the policy change process may foster buy-in, particularly if the policy is piloted and refined alongside the new practice. As part of a two-year initiative funded by CDC to implement routine alcohol screening and brief intervention (SBI) into primary care settings, the Alaska Section of Public Health Nursing (PHN) collaborated with the University of Alaska Anchorage to pilot alcohol SBI policy and procedures in three clinics prior to systemwide dissemination.

Background The University of Alaska Anchorage partnered with the State of Alaska, Section of Public Health Nursing (PHN) to pilot routine alcohol screening and brief intervention (aSBI) in three of their 22 public health centers (PHCs) prior to system-wide dissemination. During this two-year project funded by the Centers for Disease Control and Prevention, the university research team facilitated aSBI implementation through collaborative planning with PHN leadership, providing training for nurses to conduct aSBI, and maintaining contact with PHN staff. Nurses at the pilot sites participated in regular phone calls with members of the research team acting as change facilitators. A Plan-Do-Study-Act approach was used to refine implementation protocols throughout the pilot.