Evaluation of an electronic health record-supported obesity management protocol implemented in a community health center: a cautionary note.

OBJECTIVE: Primary care clinicians are well-positioned to intervene in the obesity epidemic. We studied whether implementation of an obesity intake protocol and electronic health record (EHR) form to guide behavior modification would facilitate identification and management of adult obesity in a Federally Qualified Health Center serving low-income, Hispanic patients. MATERIALS AND METHODS: In three studies, we examined clinician and patient outcomes before and after the addition of the weight management protocol and form. In the Clinician Study, 12 clinicians self-reported obesity management practices. In the Population Study, BMI and order data from 5000 patients and all 40 clinicians in the practice were extracted from the EHR preintervention and postintervention. In the Exposure Study, EHR-documented outcomes for a sub-sample of 46 patients actually exposed to the obesity management form were compared to matched controls. RESULTS: Clinicians reported that the intake protocol and form increased their performance of obesity-related assessments and their confidence in managing obesity. However, no improvement in obesity management practices or patient weight-loss was evident in EHR records for the overall clinic population. Further analysis revealed that only 55 patients were exposed to the form. Exposed patients were twice as likely to receive weight-loss counseling following the intervention, as compared to before, and more likely than matched controls. However, their obesity outcomes did not differ. CONCLUSION: Results suggest that an obesity intake protocol and EHR-based weight management form may facilitate clinician weight-loss counseling among those exposed to the form. Significant implementation barriers can limit exposure, however, and need to be addressed.

Design and protocol of a randomized multiple behavior change trial: Make Better Choices 2 (MBC2).

BACKGROUND: Suboptimal diet and inactive lifestyle are among the most prevalent preventable causes of premature death. Interventions that target multiple behaviors are potentially efficient; however the optimal way to initiate and maintain multiple health behavior changes is unknown. OBJECTIVE: The Make Better Choices 2 (MBC2) trial aims to examine whether sustained healthful diet and activity change are best achieved by targeting diet and activity behaviors simultaneously or sequentially. Study design approximately 250 inactive adults with poor quality diet will be randomized to 3 conditions examining the best way to prescribe healthy diet and activity change. The 3 intervention conditions prescribe: 1) an increase in fruit and vegetable consumption (F/V+), decrease in sedentary leisure screen time (Sed-), and increase in physical activity (PA+) simultaneously (Simultaneous); 2) F/V+ and Sed- first, and then sequentially add PA+ (Sequential); or 3) Stress Management Control that addresses stress, relaxation, and sleep. All participants will receive a smartphone application to self-monitor behaviors and regular coaching calls to help facilitate behavior change during the 9 month intervention. Healthy lifestyle change in fruit/vegetable and saturated fat intakes, sedentary leisure screen time, and physical activity will be assessed at 3, 6, and 9 months. SIGNIFICANCE: MBC2 is a randomized m-Health intervention examining methods to maximize initiation and maintenance of multiple healthful behavior changes. Results from this trial will provide insight about an optimal technology supported approach to promote improvement in diet and physical activity.

e-Health intervention development: a synopsis and comment on "What Design Features are Used in Effective e-Health Interventions? A Review Using Techniques From Critical Interpretive Synthesis".

In this synopsis and commentary on the Morrison and colleagues article published in Telemedicine and e-Health (18:2, 137-144, 2012), we provide a brief review of effective design features of e-Health interventions as well as a discussion on future directions. The Internet is being used more frequently to deliver health behavior interventions; however, it is unclear which design features contribute to intervention outcomes. Morrison and colleagues conducted a review using critical interpretive synthesis techniques to identify design features that mediate the effects of e-Health intervention outcomes. A total of four design features were identified (social context and support, contacts with intervention, tailoring, and self-management) that may mediate the effect of the intervention on outcomes. This review provides a preliminary conceptual framework to guide future evaluations of the effects of e-Health design features on intervention outcomes. Future research should target optimizing e-Health interventions to determine which design features should be included as well as how they contribute to outcomes.

Technology Interventions to Curb Obesity: A Systematic Review of the Current Literature.

Obesity is a public health crisis that has reached epidemic proportions. Although intensive behavioral interventions can produce clinically significant weight loss, their cost to implement, coupled with resource limitations, pose significant barriers to scalability. To overcome these challenges, researchers have made attempts to shift intervention content to the Internet and other mobile devices. This article systematically reviews the recent literature examining technology-supported interventions for weight loss and maintenance among overweight and obese adults. Thirteen studies were identified that satisfied our inclusion criteria (12 weight loss trials, 1 weight maintenance trial). Our findings suggest that technology interventions may be efficacious at producing weight loss. However, several studies are limited by methodologic shortcomings. There are insufficient data to evaluate their efficacy for weight maintenance. Further research is needed that employs state-of-the-art methodology, with careful attention being paid to adherence and fidelity to intervention protocols.

Divinity and distress: the impact of religion and spirituality on the mental health of HIV-positive adults in Tanzania.

This study examined the relationship between religiosity, spirituality and mental health in the context of a stress-coping framework. Participants were 135 rural, low-income HIV-positive adults in Iringa, Tanzania. The relationships between religiosity, spirituality, coping responses, social support, and psychological distress (depression, anxiety, and stress) were examined using structural equation modeling. Religiosity was related to decreased avoidant coping and increased social support, which in turn were related to psychological distress. Spirituality was positively related to active coping and social support. Results suggest that coping strategies and social support may mediate the relationship between religiosity and spirituality and psychological distress. Interventions to reduce psychological distress among HIV-positive individuals in Tanzania might incorporate strategies to reduce avoidant coping and increase social support. According to the present findings, this may be accomplished through faith-based approaches that incorporate religious and spiritual activities into HIV prevention programs.

The future of pain research, education, and treatment: a summary of the IOM report "Relieving pain in America: a blueprint for transforming prevention, care, education, and research".

The fifth column on Evidence-Based Behavioral Medicine is focused on the Institute of Medicine's (IOM) report entitled "Relieving Pain in America: A Blueprint for Transforming Prevention, Care, Education, and Research." The IOM has reported that chronic pain affects 116 million American adults, which is greater than the total of heart disease, cancer, and diabetes combined. It is recommended that data collection takes place at regular intervals using standardized questions, survey protocols, and electronic medical records with the aim of the identifying the following: subpopulations at risk; characteristics of acute and chronic pain; health consequences of pain, including death, disease, and disability; and longitudinal trends of pain. In addition, health education programs should be redesigned to include information about self-management, actions to prevent injuries at the individual and community level, advocacy for pain treatment, and support for improved prevention and control policies. Through teamwork between various professions, from physicians, nurses, and psychologists to physical therapists, pharmacists, and policy makers, advancements in pain awareness, education, research, and treatment should begin to materialize.

Factors and predictors of cognitive impairment in the elderly: A synopsis and comment on "Systematic Review: Factors associated with risk for and possible prevention of cognitive decline in later life".

The sixth column on Evidence-Based Behavioral Medicine is focused on Plassman et al.'s (Ann Internal Med 153:182-193, 2010) systematic review on factors associated with risk for and prevention of cognitive decline among the elderly. A total of 250 studies were included in the final analyses. Cognitive training was most consistently and negatively associated with cognitive decline. Evidence was largely consistent across observational and randomized controlled trial (RCT) studies. Other factors, such as physical activity, some healthy nutritional patterns, and not smoking might also be protective against cognitive decline, but the available evidence is not adequate to draw conclusions about the strength of these relationships. Future research addressing these limitations should include well-designed RCTs that attempt to replicate the finding that cognitive training is protective, and well as high-quality observational and interventional studies that examine the impact of health behaviors on cognitive decline.

Developing a patient-centered medical home: synopsis and comment on "Patient preferences for shared decisions: a systematic review".

The seventh column on Evidence-Based Behavioral Medicine synopsizes a systematic review by Chewning and colleagues (Pat Educ Couns 86:9-18, 2012) on patient preferences for shared decision-making regarding treatment and screening. A total of 115 studies were included in the final analyses. In 63 % of studies, a majority of patients preferred sharing decisions with their primary care physician, as opposed to delegating health decisions to their provider. A time trend appeared such that in studies published more recently, a greater percentage of patients, particularly cancer patients, preferred sharing decisions. Further research should seek to better understand how the decision making of specific patient populations is influenced by life course changes and secular trends. Longitudinal studies can help to elucidate how patient decision-making preferences evolve over the course of illness and health status changes in different medical conditions.

The impact of team science collaborations in health care: a synopsis and comment on "Interprofessional collaboration: effects of practice-based interventions on professional practice and healthcare outcomes".

The eighth column on evidence-based behavioral medicine is a synthesis of the study of Zwarenstein et al. (1). which examines the effects of practice-based interventions to improve interprofessional collaboration. Poor interprofessional collaboration may have deleterious effects on quality of care. The purpose of the systematic review was to investigate whether interventions aimed at improving interprofessional collaboration affect patient satisfaction and/or the effectiveness and efficiency of care. Five randomized controlled trials were reviewed, examining studies that differed across setting, interventions, and outcomes. Of the five studies reviewed, three showed improvements in patient care, one found no effect, and one had mixed findings. Findings indicate that interventions aimed at improving interprofessional care may improve outcomes, but interpretation of these findings is limited due to the small sample size and heterogeneity across studies reviewed.