Faculty Bibliography

OBJECTIVE:To evaluate obesity counseling competence among residents in a primary care training program METHODS: We delivered a 3h obesity curriculum to 28 Primary Care residents and administered a pre-curriculum and post curriculum survey looking specifically at self-assessed obesity counseling competence. RESULTS:Nineteen residents completed both the pre curriculum survey and the post curriculum survey. The curriculum had a positive impact on residents' ability to ascertain patient's stage of change, use different methods to obtain diet history (including 24h recall, food record or food frequency questionnaire), respond to patient's questions regarding treatment options, assist patients in setting realistic goals for weight loss based on making permanent lifestyle changes, and use of motivational interviewing to change behavior. When looking at the 5As domains, there was a significant improvement in the domains of Assess, Advise, and Assist. The proportion of residents with a lower level of self-assessed obesity counseling competence reduced from 75% before the curriculum to 37.5% (p=0.04) after the curriculum. CONCLUSION:Our curriculum addressing weight loss counseling using the 5As model increased obesity counseling competence among residents in a primary care internal medicine residency program.

BACKGROUND:Obesity is a worldwide epidemic, and its prevalence is higher among Veterans in the United States. Based on our prior research, primary care teams at a Veterans Affairs (VA) hospital do not feel well-equipped to deliver effective weight management counseling and often lack sufficient time. Further, effective and intensive lifestyle-based weight management programs (e.g. VA MOVE! program) are underutilized despite implementation of systematic screening and referral at all VA sites. The 5As behavior change model (Assess, Advise, Agree, Assist, Arrange) is endorsed by the United States Preventive Service Task Force for use in counseling patients about weight management in primary care and reimbursed by Medicare. In this paper, we describe the iterative development of a technology-assisted intervention designed to provide primary care-based 5As counseling within Patient-Centered Medical Homes without overburdening providers/healthcare teams. METHODS:Thematic analyses of prior formative work (focus groups with patients [n = 54] and key informant interviews with staff [n = 25]) helped to create a technology-assisted, health coaching intervention called Goals for Eating and Moving (GEM). To further develop the intervention, we then conducted two rounds of testing with previous formative study participants (n = 5 for Round 1, n = 5 for Round 2). Each session included usability testing of prototypes of the online GEM tool, pilot testing of 5As counseling by a Health Coach, and a post-session open-ended interview. RESULTS:Three main themes emerged from usability data analyses: participants' emotional responses, tool language, and health literacy. Findings from both rounds of usability testing, pilot testing, as well as the open-ended interview data, were used to finalize protocols for the full intervention in the clinic setting to be conducted with Version 3 of the GEM tool. CONCLUSIONS:The use of qualitative research methods and user-centered design approaches enabled timely detection of salient issues to make iterative improvements to the intervention. Future studies will determine whether this intervention can increase enrollment in intensive weight management programs and promote clinically meaningful weight loss in both Veterans and in other patient populations and health systems.

INTRODUCTION: The impact of sexual violence (SV) on mental health, self-care, and interpersonal relationships is profound and poses special challenges to health care delivery. Reproductive health care merits special attention because the care required may be linked to reminders of past abuse. We explored facilitators and barriers affecting the use of reproductive health services among women veterans with a history of SV. METHOD: Between June and September 2015, we conducted 2 focus groups and 3 general education sessions with 27 female veterans with a history of SV at 1 medical center. We analyzed transcripts according to applied thematic analysis and used Nvivo software for data management and retrieval. RESULTS: Three main themes emerged from the focus groups and education sessions. PARTICIPANTS: (a) expressed a desire for greater agency in relation to the control they have over their bodies and medical care; (b) described how posttraumatic stress symptoms are retriggered during medical care; and (c) expressed needs for additional education, peer and provider support within the medical system. DISCUSSION: For women with a history of SV, multiple individual and systemic barriers complicate how they utilize reproductive health services. Group education sessions were an effective mode of support, information and connection to other women within the Veterans Health Administration. (PsycINFO Database Record

OBJECTIVE: This study compared health care access, utilization, and functional indicators among adults with and without serious psychological distress (SPD) in the years surrounding implementation of the Patient Portable and Affordable Care Act (ACA). METHODS: Adults ages 18 to 64 from the 2006-2014 National Health Interview Survey (N=207, 853) were examined on 11 access, utilization, and functional indicators: health insurance coverage (health coverage), insufficient money for medications, delay in health care (delay in care), insufficient money for health care, visiting a doctor ten or more times in the past 12 months, change in place of health care, change in place of health care due to insurance, limitations in ability to work, limitations in activities of daily living (ADLs), insufficient money for mental health care, and having seen a mental health care provider. RESULTS: Multivariate models that were adjusted for health coverage and sociodemographic characteristics indicated that compared with adults without SPD, adults with SPD had greater odds of lacking money for medications (AOR=10.0) and health care (AOR=3.1), experiencing delays in care (AOR=2.7), visiting a doctor ten or more times in the past 12 months (AOR=3.2), changing usual place of health care (AOR=1.5), changing usual place of health care because of insurance (AOR=1.5), and experiencing limitations in ADLs (AOR=3.6) and ability to work (AOR=1.8). The proportions of adults with SPD who lacked health coverage and money to buy prescriptions increased during the study period. Although this trend reversed in 2014, the proportion with SPD experiencing barriers remained above 2006 levels. CONCLUSIONS: Health care patterns among adults with SPD require greater attention.

Women with a history of sexual violence may face obstacles to obtaining preventive health services. Group education models have been used in other settings to improve knowledge and uptake of care. Focus groups were conducted to solicit the concerns and input of the subject population. Interdisciplinary group education sessions (GESs) were designed specifically to address concerns voiced in focus groups. GESs were conducted, addressing mammograms, pelvic examinations, and menopause, and emphasized preventive health education, as well as shared decision-making. GESs were audio recorded and qualitative feedback was collected immediately after each GES. Surveys were administered before and after each GES to evaluate attitude and knowledge change. A total of 18 women attended the focus groups, and 27 women attended at least one GES, with 12 women attending both. GESs were well received, and participants cited the education, group support, and healing dynamic as benefits of participation. Content knowledge improved after all three GESs. Attitude change showed a trend toward improvement, but the sample size was not large enough to detect statistical significance. Group education is an acceptable and feasible model among survivors of sexual violence. GESs improved knowledge among this small group of participants. GESs could be made available in a wide range of topics, as requested by our participants. Larger studies are warranted to examine long-term knowledge and attitude change after GESs.

BACKGROUND: Food insecurity (FI) occurs when individuals or households have limited or uncertain access to adequate food. People with FI may find it particularly difficult to eat a balanced diet and manage weight. Individuals who report FI are 1.4 times more likely to have obesity. U.S. Veterans have a greater prevalence of FI compared with the general population (24% vs. 19%). As part of a pilot randomized controlled trial to test the impact of an obesity intervention for Veterans, we explored the prevalence of FI in our sample and assessed the impact of FI on weight outcomes. METHODS: Veterans with a Body Mass Index of greater than or equal to 30 or between 25 and 29.99 with at least one comorbidity were recruited by phone for a pilot study. Participants randomized to the intervention received a technology-assisted health coaching session and follow-up coaching calls; control participants received a VA "healthy living messages" pamphlet. At baseline and 3 months, participants had weight measurements and completed surveys. To measure FI, we used a 6-item Household Food Security Scale (FI = 2 or more affirmative responses). We assessed the impact of FI on variables independent of arm assignment in participants who returned for a 3-month measurement visit (Wilcoxon rank sum tests and Fisher's Exact Test). We also analyzed the role of FI as a moderator between arm and study variables using ANOVA. RESULTS: Out of 31 Veterans who enrolled in the study (Mean age = 53.48, 63% male, mean BMI = 31.72), 10 demonstrated FI at baseline and 25 participants completed 3 month measurements. Independent of the intervention, those with FI (n = 10) lost .01 kg of weight and those without FI (n = 15) lost 1.69 kg at 3-months but the difference was not significant (p = 0.2). Similarly, 0/10 Veterans with FI achieved 2.5% weight loss, compared to 4/15 of those without FI (p = 0.12). Those with FI in the control group gained weight when compared to those without FI (1.04 kg, SD = 1.41 vs. -1.75, SD = 3.96) and those with FI in the intervention lost the same amount of weight as those without FI (-1.59 kg, SD = 0.83, vs. -1.59, SD = 2.27; p = 0.24 for the interaction (not significant)). CONCLUSIONS: FI in Veterans enrolled in a weight management study is high. Participants with FI in the control arm may have gained weight when compared to non-FI participants, while intervention arm participants with FI lost similar amounts of weight to those without FI. This suggests that the intervention may reduce the negative impact of FI. While this pilot study was not powered to show a significant difference, we have amended health coaching protocols to better address FI in our intervention (e.g. screening for FI and linking participants with Supplemental Nutrition Assistance Program (SNAP) benefits and similar resources) hoping to maximize its effectiveness

BACKGROUND: Obesity is under-treated and primary care teams find it difficult to provide effective lifestyle-based weight management counseling. Further, only 10% of eligible patients attendMOVE!, theVAweight management and health promotion program. We developed an intervention called Goals for Eating and Moving (GEM) to improve counseling within primary care (PC) and increase attendance in intensive weight management programs such as MOVE!. METHODS: Veterans with a Body Mass Index of greater than or equal to 30 or between 25 and 29.99 with at least one comorbidity were recruited by phone and randomized toGEMor "Enhanced Usual Care" (EUC). GEMutilizes the Patient Aligned Care Teams (PACTs) within the VA to deliver 5As counseling (Assess, Advise, Agree, Assist and Arrange) to promote modest weight loss and behavior change. Participants use a goal-setting tool to generate tailored materials, which facilitates in-person and phone counseling with health coaches. Coaches support PACTcounseling during regular PC visits and encourage participants to join VA weight management services. Veterans in GEM received the intervention and Veterans in EUC met with a coach to receive the VA "healthy living messages" pamphlet. At baseline and 3 months, participants had weight measurements and completed surveys. We used the Paffenbarger Physical Activity Questionnaire and a 17-item screener to derive fruit and vegetable intake, energy from fat, and dietary fiber. Vegetable intake (leafy greens/salad) and sugar-sweetened beverage were measured as individual items. We performed per-protocol analyses (Wilcoxon Rank sums test and Spearman Correlation) to assess the relationship between GEM and different variables. RESULTS: Thirty-one Veterans (mean age = 53.48, 63% male, mean BMI = 31.72) enrolled and 25 returned at 3-months (1 dropped out and 5 were lost-tofollow up). Those in GEM lost significantly more weight at 3-months (-1.59 kg, SD = 1.76) than those in EUC (-0.63 kg, SD = 3.42, p = 0.03). There were no statistically significant differences in diet and physical activity. For Veterans that received GEM, higher number of phone coaching sessions was correlated with weight loss (Spearman Correlation -0.58, p = 0.09). CONCLUSIONS: This early analysis indicates that GEM promotes small but significant (p = 0.03) weight loss at 3-months and identified the need for high patient retention and engagement, since the number of health coaching calls may correlate with weight loss. Based on this we have refined protocols for phone coaching to ensure that scheduling and reminder calls are patientcentered. This pilot study informed the development of a multi-site cluster- RCT of GEM to begin in June 2017 (NIH # 1R01 DK111928-01)

OBJECTIVE: Adults with serious psychological distress have a high likelihood of mental health problems severe enough to cause serious impairment in social and occupational functioning requiring treatment. These adults visit doctors frequently yet have poor health compared to adults without serious psychological distress. This study examined associations between emotional states of serious psychological distress in relationship to healthcare utilization indicators. A guiding hypothesis was that somatization underlying emotional states contributes to excessive healthcare seeking among adults with serious psychological distress. METHODS: Using 2006-2014 National Health Interview Survey, in adults with serious psychological distress (n=9271), the six states: unable to make efforts, nervousness, hopelessness, sadness, worthlessness and restlessness were assessed in multivariate models in relation to four healthcare utilization indicators: change in the usual place of healthcare, change due to insurance, having seen a healthcare provider in the last 6months and having 10 or more doctor visits in the last 12months. Models were adjusted for sociodemographic variables, having seen a mental health provider, and health conditions. RESULTS: Adults feeling unable to make efforts were more likely to seek healthcare in the last 6months and at least ten times in the last twelve months. Adults feeling hopeless were less likely to be heavy healthcare utilizers. CONCLUSIONS: Predisposing medical conditions do not fully explain healthcare utilization in adults with serious psychological distress. Educating healthcare providers about the emotional states motivating healthcare seeking, and integrating mental healthcare into primary care, may improve the health of adults with serious psychological distress.