Structural social support predicts functional social support in an online weight loss programme.

BACKGROUND: Online weight loss programmes allow members to use social media tools to give and receive social support for weight loss. However, little is known about the relationship between the use of social media tools and the perception of specific types of support. OBJECTIVE: To test the hypothesis that the frequency of using social media tools (structural support) is directly related to perceptions of Encouragement, Information and Shared Experiences support (functional support). DESIGN: Online survey. PARTICIPANTS: Members of an online weight loss programme. METHODS: The outcome was the perception of Encouragement (motivation, congratulations), Information (advice, tips) and Shared Experiences (belonging to a group) social support. The predictor was a social media scale based on the frequency of using forums and blogs within the online weight loss programme (alpha = 0.91). The relationship between predictor and outcomes was evaluated with structural equation modelling (SEM) and logistic regression, adjusted for sociodemographic characteristics, BMI and duration of website membership. RESULTS: The 187 participants were mostly female (95%) and white (91%), with mean (SD) age 37 (12) years and mean (SD) BMI 31 (8). SEM produced a model in which social media use predicted Encouragement support, but not Information or Shared Experiences support. Participants who used the social media tools at least weekly were almost five times as likely to experience Encouragement support compared to those who used the features less frequently [adjusted OR 4.8 (95% CI 1.8-12.8)]. CONCLUSIONS: Using the social media tools of an online weight loss programme at least once per week is strongly associated with receiving Encouragement for weight loss behaviours.

A silent response to the obesity epidemic: decline in US physician weight counseling.

BACKGROUND: Guidelines recommend that physicians screen all adults for obesity and offer an intensive counseling and behavioral interventions for weight loss for obese adults. Current trends of weight-related counseling are unknown in the setting of the US obesity epidemic. OBJECTIVES: To describe primary care physician (PCP) weight-related counseling, comparing counseling rates in 1995-1996 and 2007-2008. RESEARCH DESIGN: Data analysis of outpatient PCP visits in 1995-1996 and 2007-2008, as reported in the National Ambulatory Medical Care Survey. SUBJECTS: A total of 32,519 adult primary care visits with PCPs. MEASURES: Rates of counseling for weight, diet, exercise, and a composite variable, weight-related counseling (defined as counseling for weight, diet, or exercise) between survey years. Adjusted analyses controlled for patient and visit characteristics. RESULTS: Weight counseling declined from 7.8% of visits in 1995-1996 to 6.2% of visits in 2007-2008 [adjusted odds ratios, 0.64; 95% confidence intervals, 0.53, 0.79]. Rates of receipt of diet, exercise, and weight-related counseling similarly declined. Greater declines in odds of weight-counseling receipt were observed among those with hypertension (47%), diabetes (59%), and obesity (41%), patients who stand the most to gain from losing weight. CONCLUSIONS: Rates of weight counseling in primary care have significantly declined despite increased rates of overweight and obesity in the United States. Further, these declines are even more marked in patients with obesity and weight-related comorbidities, despite expectations to provide such care by both patients and policymakers. These findings have implications for determining deliverable, novel ways to engage PCPs in addressing the obesity epidemic.

Evaluation of a problem-specific SBAR tool to improve after-hours nurse-physician phone communication: a randomized trial.

BACKGROUND: After-hours telephone communications are common in patient management. Patterns of communication of key information during after-hours phone calls were evaluated, and the utility of problem-specific Situation, Background, Assessment, Recommendation (SBAR) forms in improving this communication was assessed. METHODS: In a randomized trial using a simulated on-call setting, 20 nurses called physicians regarding six cases adapted from inpatient records and based on the six most common reasons for after-hours nurse-physician communication. Three of the cases were handled without the SBAR forms (control cases), and three cases were handled with the forms (SBAR cases). Two cue types of communication were evaluated: situation cues, which conveyed the patient's situation (for example, a patient is confused), and background cues, which conveyed problem-specific data indicated on the SBAR forms (for example, the patient has a low sodium level). RESULTS: Ninety-two phone calls were analyzed (43 SBAR/49 controls). Most of the nurses reported the situation cues (SBAR 88%, control 84%, p = .60) but not the background cues. There was a trend toward fewer background cues communicated in the SBAR cases (14% versus 31%, p = .08). In 14% of the cases, on average, nurses omitted information or reported wrong information regarding the background cue. Physicians asked questions that resulted in the communication of the cues in a minority of the cases when the background cues were not originally provided by the nurses (SBAR 6%, control 16%, p = .39). CONCLUSIONS: In after-hours phone communication between physicians and nurses, significant information was often not communicated and physicians did not elicit the necessary information. Simply providing an SBAR-based form did not ensure complete communication of key information.

Website usage and weight loss in a free commercial online weight loss program: retrospective cohort study.

BACKGROUND: Online weight loss programs are increasingly popular. However, little is known about outcomes and associations with website usage among members of free online weight loss programs. OBJECTIVE: This retrospective cohort study examined the association between website usage and weight loss among members of a free commercial online weight loss program (SparkPeople). METHODS: We conducted a retrospective analysis of a systematic random sample of members who joined the program during February 1 to April 30, 2008, and included follow-up data through May 10, 2010. The main outcome was net weight change based on self-reported weight. Measures of website usage included log-ins, self-monitoring entries (weight, food, exercise), and use of social support tools (discussion forums, friendships). RESULTS: The main sample included 1258 members with at least 2 weight entries. They were 90.7% female, with mean (SD) age 33.6 (11.0) and mean (SD) BMI 31.6 (7.7). Members with at least one forum post lost an additional 1.55 kg (95% CI 0.55 kg to 2.55 kg) relative to those with no forum posts. Having at least 4 log-in days, weight entry days, or food entry days per 30 days was significantly associated with weight loss. In the multiple regression analysis, members with at least 4 weight entry days per 30 days reported 5.09 kg (95% CI 3.29 kg to 6.88 kg) more weight loss per 30 days than those with fewer weight entry days. After controlling for weight entry days, the other website usage variables were not associated with weight change. CONCLUSIONS: Weekly or more frequent self-monitoring of weight is associated with greater weight loss among members of this free online weight loss program.

Medication Reconciliation during Transitions of Care Across Institutions: A Quantitative Analysis of Challenges and Opportunities.

OBJECTIVE: Medication discrepancies between clinical systems may pose a patient safety hazard. In this paper, we identify challenges and quantify medication discrepancies across transitions of care. METHODS: We used structured clinical data and free-text hospital discharge summaries to compare active medications' lists at four time points: preadmission (outpatient), at-admission (inpatient), at-discharge (inpatient), and postdischarge (outpatient). Medication lists were normalized to RxNorm. RxNorm identifiers were further processed using the RxNav API to identify the ingredient. The specific drugs and ingredients from inpatient and outpatient medication lists were compared. RESULTS: Using RxNorm drugs, the median percentage intersection when comparing active medication lists within the same electronic health record system ranged between 94.1 and 100% indicating substantial overlap. Similarly, when using RxNorm ingredients the median percentage intersection was 94.1 to 100%. In contrast, the median percentage intersection when comparing active medication lists across EHR systems was significantly lower (RxNorm drugs: 6.1-7.1%; RxNorm ingredients: 29.4-35.0%) indicating that the active medication lists were significantly less similar (p < 0.05).Medication lists in the same EHR system are more similar to each other (fewer discrepancies) than medication lists in different EHR systems when comparing specific RxNorm drug and the more general RxNorm ingredients at transitions of care. Transitions of care that require interoperability between two EHR systems are associated with more discrepancies than transitions where medication changes are expected (e.g., at-admission vs. at-discharge). Challenges included lack of access to structured, standardized medication data across systems, and difficulty distinguishing medications from orderable supplies such as lancets and diabetic test strips. CONCLUSION: Despite the challenges to medication normalization, there are opportunities to identify and assist with medication reconciliation across transitions of care between institutions.

Acceptability of narratives to promote colorectal cancer screening in an online community.

OBJECTIVE: To assess the acceptability of narratives to promote colorectal cancer (CRC) screening among members of an online weight loss community. METHOD: Members of online weight loss community completed an Internet survey in 2010. Multiple logistic regression models examined demographic and attitudinal correlates of interest in sharing and receiving CRC screening narratives. RESULTS: Participants (n=2386) were 92% female with mean (SD) age 58 (6) years; 68% were up-to-date with CRC screening. Among those who were up-to-date, 39% were interested in sharing their narratives with other members. African-Americans were more likely than other racial groups to be interested in sharing narratives (adjusted OR 2.02, 95% CI 1.14-3.57). Older, married members and those with greater CRC screening worries were less likely to be interested in sharing narratives. Among those not up-to-date, 63% were interested in receiving narratives from online community members, and those with higher perceived salience of CRC screening were more likely to be interested in receiving narratives (adjusted OR 1.86, 95% CI 1.31-2.65). CONCLUSIONS: Members of this online weight loss community expressed interest in sharing and receiving narratives for CRC screening promotion. Attitudes and demographic characteristics may predict successful recruitment of those who would share and receive narratives.

Primary care providers' perspectives on online weight-loss programs: a big wish list.

BACKGROUND: Integrating online weight-loss programs into the primary care setting could yield substantial public health benefit. Little is known about primary care providers' perspectives on online weight-loss programs. OBJECTIVE: To assess primary care providers' perspectives on online weight-loss programs. METHODS: We conducted focus group discussions with providers in family medicine, internal medicine, and combined internal medicine/pediatrics in Texas and Pennsylvania, USA. Open-ended questions addressed their experience with and attitudes toward online weight-loss programs; useful characteristics of existing online weight-loss programs; barriers to referring patients to online weight-loss programs; and preferred characteristics of an ideal online weight-loss program. Transcripts were analyzed with the grounded theory approach to identify major themes. RESULTS: A total of 44 primary care providers participated in 9 focus groups. The mean age was 45 (SD 9) years. Providers had limited experience with structured online weight-loss programs and were uncertain about their safety and efficacy. They thought motivated, younger patients would be more likely than others to respond to an online weight-loss program. According to primary care providers, an ideal online weight-loss program would provide-at no cost to the patient-a structured curriculum addressing motivation, psychological issues, and problem solving; tools for tracking diet, exercise, and weight loss; and peer support monitored by experts. Primary care providers were interested in receiving reports about patients from the online weight-loss programs, but were concerned about the time required to review and act on the reports. CONCLUSIONS: Primary care providers have high expectations for how online weight-loss programs should deliver services to patients and fit into the clinical workflow. Efforts to integrate online weight-loss programs into the primary care setting should address efficacy and safety of online weight-loss programs in clinic-based populations; acceptable methods of sending reports to primary care providers about their patients' progress; and elimination or reduction of costs to patients.

Predicting health-related social needs in Medicaid and Medicare populations using machine learning.

Providers currently rely on universal screening to identify health-related social needs (HRSNs). Predicting HRSNs using EHR and community-level data could be more efficient and less resource intensive. Using machine learning models, we evaluated the predictive performance of HRSN status from EHR and community-level social determinants of health (SDOH) data for Medicare and Medicaid beneficiaries participating in the Accountable Health Communities Model. We hypothesized that Medicaid insurance coverage would predict HRSN status. All models significantly outperformed the baseline Medicaid hypothesis. AUCs ranged from 0.59 to 0.68. The top performance (AUC = 0.68 CI 0.66-0.70) was achieved by the "any HRSNs" outcome, which is the most useful for screening prioritization. Community-level SDOH features had lower predictive performance than EHR features. Machine learning models can be used to prioritize patients for screening. However, screening only patients identified by our current model(s) would miss many patients. Future studies are warranted to optimize prediction of HRSNs.

A cluster-randomized controlled trial of automated internet weight-loss programs in primary care: Role of automated provider feedback.

OBJECTIVE: Despite the high prevalence of obesity and associated health risks in the United States adult population, few primary care providers (PCPs) have time and training to provide weight-management counseling to their patients. This study aims to compare the effect of referral to a comprehensive automated digital weight-loss program, with or without provider email feedback, with usual care on weight loss in patients with overweight or obesity. METHODS: A total of 550 adults (mean [SD], 51.4 [11.2] years, BMI = 35.1 [5.5] kg/m2 , 72.0% female) were enrolled through their PCPs (n = 31). Providers were randomly assigned to refer their patients to a 12-month internet weight-loss intervention only (IWL), the intervention plus semiautomated feedback from the provider (IWL + PCP), or to usual care (EUC). Weight was measured at baseline and at 3, 6, and 12 months. RESULTS: Weight changes (mean [SE]) at 12 months were -0.92 (0.46), -3.68 (0.46), and -3.58 (0.48) kg in the EUC, IWL, and IWL + PCP groups, respectively. Outcomes were significantly different in EUC versus IWL and EUC versus IWL + PCP (p < 0.001), but not in IWL versus IWL + PCP. CONCLUSIONS: Referral by PCPs to an automated weight-loss program holds promise for patients with obesity. Future research should explore ways to further promote accountability and adherence.

Measuring social support for weight loss in an internet weight loss community.

Although overweight and obese individuals are turning to Internet communities for social support for weight loss, there is no validated online instrument for measuring the subjective social support experiences of participants in these communities. The authors' objective was to determine whether an online version of a validated paper questionnaire, the Weight Management Support Inventory, is appropriate for measuring social support among members of Internet weight loss communities. The authors administered the paper and online versions of the questionnaire in random, counterbalanced fashion to 199 members of a large Internet weight loss community. Scores for the paper and online versions were comparable in between-subjects and within-subjects comparisons. Convergent validity is suggested by the finding that participants who posted messages on Internet forums several times per day reported more social support than those who posted less frequently. However, the instrumental (tangible) support items did not load significantly on the instrumental support factor, suggesting that instrumental support is not relevant to the social support exchanged among participants in these communities. The authors conclude that the online, modified Weight Management Support Inventory, without items for instrumental support, is an appropriate instrument for measuring social support for weight loss among members of Internet weight loss communities.

Prevalence and Factors Associated With Mental Health Symptoms in Adults Undergoing Covid-19 Testing.

BACKGROUND AND OBJECTIVE: Understanding the mental health impact of the COVID-19 pandemic on persons receiving COVID-19 testing will help guide mental health interventions. We aimed to determine the association between sociodemographic factors and mental health symptoms at 8 weeks (baseline) after a COVID-19 test, and compare prevalence of mental health symptoms at baseline to those at 16-week follow-up. MATERIALS AND METHODS: Prospective cohort study of adults who received outpatient COVID-19 testing at primary care clinics. Logistic regression analyses were used to assess the association between sociodemographic characteristics and COVID-19 test results with mental health symptoms. Mental health symptoms reported at baseline were compared to symptoms at 16 weeks follow-up using conditional logistic regression analyses. RESULTS: At baseline, a total of 124 (47.51%) participants reported at least mild depressive symptoms, 110 (42.15%) participants endorsed at least mild anxiety symptoms, and 94 participants (35.21%) endorsed hazardous use of alcohol. Females compared to males were at increased risk of at least mild depressive symptoms at baseline (Adjusted Odds Ratio (AOR): 2.08; 95% CI: 1.14-3.79). The odds of at least mild depressive symptoms was significantly lower among those residing in zip codes within the highest quartile compared to lowest quartile of household income (AOR: 0.37; 95% CI: 0.17-0.81). Also, non-Hispanic Whites had significantly higher odds of reporting hazardous alcohol use compared to non-Whites at baseline (AOR: 1.94; 95% CI: 1.05-3.57). The prevalence of mental health symptoms remained elevated after 16 weeks. CONCLUSION AND RELEVANCE: We found a high burden of symptoms of depression and anxiety as well as hazardous alcohol use in a diverse population who received testing for COVID-19 in the primary care setting. Primary care providers need to remain vigilant in screening for symptoms of mental health disorders in patients tested for COVID-19 well after initial testing.

Clinical Prediction of Coronavirus Disease-2019: How Accurate Can One Be?

Background Some models based on clinical information have been reported to predict which patients have Coronavirus Disease-2019 (COVID-19) pneumonia but have failed so far to yield reliable results. We aimed to determine if physicians were able to accurately predict which patients, as described in clinical vignettes, had, or did not have this infection using their clinical acumen and epidemiological data. Methods Of 1177 patients under investigation for COVID-19 admitted, we selected 20 and presented them in a vignette form. We surveyed physicians from different levels of training (<5, and five or more years after graduation from medical school) and included non-medical participants as a control group. We asked all participants to predict the result of the PCR test for COVID-19. We measured the accuracy of responses as a whole, and at three stages of the pandemic associated with a growing incidence of COVID-19 in the community. We calculated the inter-rater reliability, sensitivity, and specificity of the clinical prediction as a whole and by pandemic stage.  Results Between June 8 and August 28, 2020, 82 doctors and 20 non-medical participants completed the survey. The accuracy was 58% (59% for doctors and 52% for non-medical, p=0.002). The lowest accuracy was noted for cases in the pandemic middle stage; years of post-graduate training represented no difference. Of the 2040 total answers, 1176 were accurate and 864 inaccurate (349 false positives and 515 false negatives). Conclusion The influence of symptomatic positivity, confirmation bias, and rapid expertise acquisition on accuracy is discussed, as the disease is new, time after graduation made no difference in the response accuracy. The limited clinical diagnostic capacity emphasizes the need for a reliable diagnostic test.

Feasibility and potential efficacy of commercial mHealth/eHealth tools for weight loss in African American breast cancer survivors: pilot randomized controlled trial.

Weight management after breast cancer (BC) treatment in African American (AA) women is crucial to reduce comorbid conditions and health disparities. We examined feasibility and potential efficacy of commercial eHealth/mHealth tools for weight management in AA BC survivors in New Jersey. Participants (N = 35) were randomized to an intervention (SparkPeople) plus activity tracker, Fitbit Charge (n = 18), or wait-list active control group (Fitbit only, n = 17). Anthropometric, behavioral, and quality of life (QOL) outcomes were collected at baseline, 3, 6, and 12 months. Differences in outcomes were assessed using intent-to-treat analysis. Retention was 97.1%. Both groups lost weight, with no significant differences between groups. At month 6, mean weight change was: intervention: -1.71 kg (SD 2.33; p = .006), 33.3% lost ≥3% of baseline weight; control: -2.54 kg (SD 4.00, p = .002), 23.5% lost ≥3% weight. Intervention participants achieved significant improvements in waist circumference (-3.56 cm, SD 4.70, p = .005), QOL (p = .030), and use of strategies for healthy eating (p = .025) and decreasing calories (p < .001). Number of days logged food per week was associated with decreases in waist circumference at 6 months (ß -0.79, 95% CI, -1.49, -0.09, p = .030) and 12 months (ß -2.16, 95% CI, -4.17, -0.15, p = .038). Weight loss was maintained at 12 months. This is the first study to demonstrate potential efficacy of commercial eHealth/mHealth tools for weight loss in AA BC survivors, without additional counseling from the research team. If effective, they may be convenient weight loss tools that can be easily and widely disseminated. Clinical Trials registration: ClinicalTrials.gov NCT02699983.

Coaction Between Physical Activity and Fruit and Vegetable Intake in Racially Diverse, Obese Adults.

PURPOSE: There is minimal understanding of the potential for coaction, defined as action on one behavior increasing the likelihood of taking action on another behavior, between physical activity (PA) and fruit and vegetable (FV) intake. The purpose of this study was to assess the bidirectional coaction between FV intake and PA, as well as self-efficacy for these behaviors, in a racially diverse sample of obese adults. DESIGN: This is a secondary analysis using data collected from the Path to Health study, a randomized controlled trial. ClinicalTrials.gov Identifier: NCT03674229. SAMPLE: Obese adults who completed baseline and 6-month follow-up assessments. MEASURES: For this study, data on FV intake, leisure time PA, and 7-day accelerometer data were analyzed at baseline and 6-month follow-up. ANALYSIS: We interchanged modeling the FV intake and PA change variables as the independent and dependent variables. We conducted multiple imputation and both linear and multinomial regression. RESULTS: The sample (n = 168) was 59% female and mainly split between white (42%) and African American (42%). Change in self-efficacy for PA was predictive of change in self-efficacy for FV intake and vice versa. When compared with participants with no change in FV intake, someone with a positive change in FV intake was more likely to have a positive change in self-reported PA (adjusted risk ratio [RR] = 6.72, 95% confidence interval [CI] = 1.69-26.68). Likewise, when compared with no change, participants with a positive change in self-reported PA were more likely to report a positive change in FV intake (adjusted RR = 6.79, 95% CI = 1.70-27.17). CONCLUSION: Findings suggest coaction between self-efficacy for FV intake and PA as well as between FV intake and PA. Coaction could be capitalized on to more effectively promote both energy-balance behaviors.

Health coaching to encourage obese adults to enroll in commercially-available weight management programs: The path to health study.

Physicians are recommended to screen and refer obese patients to weight management programs (WMPs). There are often limited referral options for physicians, though commercially-available WMPs could be a potential solution. The purpose of this study (Path to Health) was to evaluate the efficacy of health coaching to promote enrollment in commercially-available WMPs through a two-arm, RCT with obese patients (n = 168) randomly assigned to intervention (n = 84) or control groups (n = 84). Intervention participants received phone health coaching to help them select and enroll in WMPs. We collected data on program enrollment, weight, self-reported physical activity (PA), and fruit and vegetable (FV) intake at baseline, 3- and 6-months. We used logistic regression to assess the intervention effect on enrollment in WMPs and longitudinal regression models to evaluate the effect on weight change, PA and FV intake. The average age was 54.7 years, 59% were female and 43% were Black and 49% were White. At 6 months, 39% of the intervention group (vs. 29% of control) had enrolled in WMPs. We found no longitudinal intervention effect on weight, PA and FV intake. We found that there was more weight loss for those who completed ≥4 calls as compared to those who completed <4 calls. We also found significant dose response relationships for PA and FV intake at 3 months. In this study, we found that phone health coaching was successful in increasing obese adults' enrollment in commercially-available WMPs and that there was a dose response relationship for weight and behavioral outcomes.

DataGauge: A Practical Process for Systematically Designing and Implementing Quality Assessments of Repurposed Clinical Data.

The well-known hazards of repurposing data make Data Quality (DQ) assessment a vital step towards ensuring valid results regardless of analytical methods. However, there is no systematic process to implement DQ assessments for secondary uses of clinical data. This paper presents DataGauge, a systematic process for designing and implementing DQ assessments to evaluate repurposed data for a specific secondary use. DataGauge is composed of five steps: (1) Define information needs, (2) Develop a formal Data Needs Model (DNM), (3) Use the DNM and DQ theory to develop goal-specific DQ assessment requirements, (4) Extract DNM-specified data, and (5) Evaluate according to DQ requirements. DataGauge's main contribution is integrating general DQ theory and DQ assessment methods into a systematic process. This process supports the integration and practical implementation of existing Electronic Health Record-specific DQ assessment guidelines. DataGauge also provides an initial theory-based guidance framework that ties the DNM to DQ testing methods for each DQ dimension to aid the design of DQ assessments. This framework can be augmented with existing DQ guidelines to enable systematic assessment. DataGauge sets the stage for future systematic DQ assessment research by defining an assessment process, capable of adapting to a broad range of clinical datasets and secondary uses. Defining DataGauge sets the stage for new research directions such as DQ theory integration, DQ requirements portability research, DQ assessment tool development and DQ assessment tool usability.

Barriers to Accurate Blood Pressure Measurement in the Medical Office.

BACKGROUND: Despite the high prevalence of blood pressure (BP) measurement errors in the outpatient setting, little is known about why primary care clinics struggle to achieve consistently accurate BP measurements in routine practice. We investigated barriers affecting measurement of BP for adult patients in primary care. METHODS: We conducted a qualitative evaluation in 6 adult primary care clinics. BP measurement was observed during 54 routine patient encounters. Six managers completed semistructured interviews and 18 clinical staff members participated in focus group discussions. We used an inductive, data-driven approach to identify and organize findings into cohesive, overarching themes describing factors affecting BP measurement. RESULTS: Observed errors in BP measurement spanned the entire spectrum of steps required to obtain BP properly. Barriers to proper BP measurement were related to staff knowledge and behavior (inadequate knowledge, training, and feedback); workflow constraints (need to multitask, inadequate time); and equipment issues (BP monitors, seating). Patient characteristics and behavior also affected BP measurement. CONCLUSIONS: Correct measurement of BP is affected by a wide range of factors and is challenging to accomplish consistently in primary care. These findings may inform the design of performance improvement programs to maximize the quality of BP measurement in the outpatient setting.

Stress ulcer prophylaxis for non-critically ill patients on a teaching service.

RATIONALE: Doctors frequently give non-critically ill patients unjustified stress ulcer prophylaxis (SUP). It is unknown if this practice also occurs during residency training. OBJECTIVE: To evaluate the pattern of SUP given to non-critically ill medical patients on the teaching service of an internal medicine residency programme. METHODS: This was a retrospective cohort study of non-critically ill adults admitted to the internal medicine teaching service of a community hospital from August 2003 to July 2004. We assessed receipt of SUP, association of SUP with risk factors for stress ulcer bleeding; appropriateness of SUP according to evidence-based criteria; and incidence of stress ulcer bleeding. RESULTS: Of the 774 patient records reviewed, 545 were included in the study. The average age was 55.4 years. Patients were more likely to receive SUP if they had more risk factors for stress ulcer bleeding (P < 0.001). Overall, 54.9% (299 of 545) of patients received SUP. Of these 299 patients, at least 58.5% did not warrant SUP, depending on the criteria used. Of the entire cohort of 545 non-critically ill patients, 32.1% to 54.9% received unjustified SUP, depending on the criteria applied. There were no cases of stress ulcer bleeding. CONCLUSIONS: Many non-critically ill patients on the teaching service received unjustified SUP, suggesting the need for institutional protocols and educational interventions to promote evidence-based practice during residency training.

Feasibility of utilising an all-volunteer workforce as a disruptive innovation for the US obesity epidemic.

OBJECTIVES: As the prevalence of obesity in US adults continues to increase, addressing weight control will require an effective, lower-cost intervention. A model for delivering free peer-to-peer counselling has the potential to create a paradigm shift in the way weight and other chronic illnesses are addressed in the US. The objective of this study is to understand the potential for utilising successful peer volunteers as counsellors in weight control programmes and as a possible intervention strategy to address the global obesity epidemic in a cost-effective manner. STUDY DESIGN: This cross-sectional study surveyed a nationwide panel of US adults (n=806) in 2010. METHODS: We created survey items to identify participant interest in three specific types of weight control programmes: a free programme led by successful peers, a paid programme led by successful peers and a programme led by trained paid professionals. Statistical analysis was conducted in 2011. Logistic regression was used to adjust for the effect of potential confounders on participant interest in different weight control programmes and willingness to volunteer. RESULTS: More than three times as many subjects (27.4% vs. 8.3%) were interested in the free peer-led programme versus the expert-led paid option. Of participants who had ever had successful weight loss, 15% were interested in volunteering to help others lose weight. CONCLUSIONS: Individuals appear to be willing to both attend and conduct peer volunteer-led weight control groups. Further research is necessary to develop and test interventions to assess the effectiveness of such interventions.