Behavioral Weight Loss Programs for Cancer Survivors Throughout Maryland: Protocol for a Pragmatic Trial and Participant Characteristics.

BACKGROUND: Clinical trials examining lifestyle interventions for weight loss in cancer survivors have been demonstrated to be safe, feasible, and effective. However, scalable weight loss programs are needed to support their widespread implementation. The ASPIRE trial was designed to evaluate real-world, lifestyle-based, weight loss programs for cancer survivors throughout Maryland. OBJECTIVE: The objectives of this protocol paper are to describe the design of a nonrandomized pragmatic trial, study recruitment, and baseline characteristics of participants. METHODS: Participants were aged ≥18 years, residing in Maryland, with a BMI ≥25 kg/m2, who reported a diagnosis of a malignant solid tumor, completed curative treatment, and had no ongoing or planned cancer treatment. Enrollment criteria were minimized to increase generalizability. The primary recruitment source was the Johns Hopkins Health System electronic health records (EHRs). Participants selected 1 of 3 remotely delivered weight loss programs: self-directed, app-supported, or coach-supported program. RESULTS: Participants were recruited across all 5 geographic regions of Maryland. Targeted invitations using EHRs accounted for 287 (84.4%) of the 340 participants enrolled. Of the 5644 patients invited through EHR, 5.1% (287/5644) enrolled. Participants had a mean age of 60.7 (SD 10.8) years, 74.7% (254/340) were female, 55.9% (190/340) identified as non-Hispanic Black, 58.5% (199/340) had a bachelor's degree, and the average BMI was 34.1 kg/m2 (SD 5.9 kg/m2). The most common types of cancers were breast (168/340, 49.4%), prostate (72/340, 21.2%), and thyroid (39/340, 8.5%). The self-directed weight loss program (n=91) included 25 participants who agreed to provide weights through a study scale; the app-supported program (n=142) included 108 individuals who agreed to provide their weight measurements; and the coach-supported weight loss program included 107 participants. We anticipate final analysis will take place in the fall of 2024. CONCLUSIONS: Using EHR-based recruitment efforts, this study took a pragmatic approach to reach and enroll cancer survivors into remotely delivered weight loss programs. TRIAL REGISTRATION: ClinicalTrials.gov NCT04534309; https://clinicaltrials.gov/study/NCT04534309. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/54126.

Promising Impact of Telenovela Intervention for Caregivers of Hospice Patients: A Pilot Study.

BACKGROUND: Hospice family caregivers (HFCGs) support the needs of their loved ones but are at risk of developing distress and anxiety. NOVELA is a four-chapter telenovela-style educational video to support topics related to hospice caregiving. Telehealth visits are scheduled in 4 weekly sessions consisting of a chapter and subsequent discussion with an interventionist. This feasibility pilot study tested NOVELA's effect to change HFCGs' outcomes, session and outcome measure completion (defined a priori as >70%). METHODS: This is a single-group pretest-posttest study of HFCGs of care recipients with PPS score >20% from 3 hospices in the U.S. Mid-Atlantic region. At baseline and at final posttest, participants completed a web-based survey assessing 3 outcomes: anxiety, self-efficacy, and satisfaction with intervention. Descriptive, t-test, and chi-square statistics were computed. RESULTS: Participants in our study (N = 59) were mainly collage educated, White, female, adult children of home-bound people with a non-cancer diagnosis. Outcomes changed in the expected direction (P > .05) with higher self-efficacy (Cohen's d = -.08 [95% CI -.4 to .2) and lower anxiety (Cohen's d = .2 [95% CI -.1 to .5]) scores from final to baseline, 86% of HFCGs were satisfied or very satisfied with NOVELA, session (33/59) and outcome measure (43/59) completion averaged 68%. CONCLUSION: Encouraging trends in NOVELA's estimation of effect suggests that NOVELA may buffer stressful aspects of hospice caregiving. However, further refinement of NOVELA is needed. Supporting HFCGs through supportive educational interventions may reduce distress and anxiety with broad implications for quality improvement.

Recruitment, Retention and Intervention Delivery Experiences With Hospice Family Caregivers.

BACKGROUND: Recruitment and attrition are inherently challenging issues in hospice research. We sought to describe strategies of recruitment, retention, and delivery of NOVELA (short for telenovela), an intervention for hospice family caregivers (HFCG). METHODS: Statistics were kept of every referral, consenting participant, visit session, and intervention activity. We used the Social Marketing Mix Framework to describe recruiting strategies employed and lessons learned. RESULTS: Two hospices in the U.S. Mid-Atlantic region referred 47 HFCG and N = 20 agreed to participate, out of which 50% (N = 10) completed all 4 sessions with an average of 2.8 sessions per person, each lasting an average duration of 13.5 minutes (range 8.0-25.7). The main reason for missing a session was a patient's death (N = 8). Successful recruitment strategies employed in NOVELA included: (a) intensive start-up hospice engagement, (b) remote recruitment and delivery of NOVELA, and (c) scheduling flexibility to work around caregivers' other demands. CONCLUSION: The recruitment and intervention delivery had successes and challenges resulting in the identification of multiple opportunities to strengthen our strategy and inform future studies with HFCGs.

Clinical Care Among Individuals with Prediabetes in Primary Care: a Retrospective Cohort Study.

BACKGROUND: The incidence of diabetes in the general US population (6.7 per 1000 adults in 2018) has not changed significantly since 2000, suggesting that individuals with prediabetes are not connecting to evidence-based interventions. OBJECTIVE: We sought to describe the clinical care of individuals with prediabetes, determine patient factors associated with this care, and evaluate risk for diabetes development. DESIGN: Retrospective cohort study using linked claims and electronic health record data. PARTICIPANTS: We created a cohort of adults with prediabetes based on laboratory measures. We excluded patients with a prior history of diabetes, pregnancy in prior 6 months, or recent steroid use. MAIN MEASURES: We measured ordering and completion of clinical services targeting prediabetes management and diabetes incidence within 12 months following cohort entry. We tested the strength of the association between individuals' characteristics and outcomes of interest using bivariate and multiple logistic regression. RESULTS: Our cohort included 3888 patients with a laboratory diagnosis of prediabetes (incident or prevalent prediabetes). Within 12 months, 63.4% had repeat glycemic testing, yet only 10.4% had coded diagnoses of prediabetes, 1.0% were referred for nutrition services, and 5.4% were prescribed metformin. Most patients completed labs and nutrition visits when referred and filled metformin when prescribed. Individuals with a higher glycemic level or BMI were more likely to receive prediabetes clinical care. Six percent of individuals developed diabetes within 12 months of cohort entry and had higher glycemic levels and BMI ≥ 30 kg/m2. In the adjusted model, Black individuals had 1.4 times higher odds of developing diabetes than White individuals. CONCLUSIONS: Rates of prediabetes clinical care activities are low and have not improved. Strategies are urgently needed to improve prediabetes care delivery thereby preventing or delaying incident diabetes.

Effects of Behavioral Weight Loss and Metformin on IGFs in Cancer Survivors: A Randomized Trial.

CONTEXT: Higher levels of insulin-like growth factor-1 (IGF-1) are associated with increased risk of cancers and higher mortality. Therapies that reduce IGF-1 have considerable appeal as means to prevent recurrence. DESIGN: Randomized, 3-parallel-arm controlled clinical trial. INTERVENTIONS AND OUTCOMES: Cancer survivors with overweight or obesity were randomized to (1) self-directed weight loss (comparison), (2) coach-directed weight loss, or (3) metformin treatment. Main outcomes were changes in IGF-1 and IGF-1:IGFBP3 molar ratio at 6 months. The trial duration was 12 months. RESULTS: Of the 121 randomized participants, 79% were women, 46% were African Americans, and the mean age was 60 years. At baseline, the average body mass index was 35 kg/m2; mean IGF-1 was 72.9 (SD, 21.7) ng/mL; and mean IGF1:IGFBP3 molar ratio was 0.17 (SD, 0.05). At 6 months, weight changes were -1.0% (P = 0.07), -4.2% (P < 0.0001), and -2.8% (P < 0.0001) in self-directed, coach-directed, and metformin groups, respectively. Compared with the self-directed group, participants in metformin had significant decreases on IGF-1 (mean difference in change: -5.50 ng/mL, P = 0.02) and IGF1:IGFBP3 molar ratio (mean difference in change: -0.0119, P = 0.011) at 3 months. The significant decrease of IGF-1 remained in participants with obesity at 6 months (mean difference in change: -7.2 ng/mL; 95% CI: -13.3 to -1.1), but not in participants with overweight (P for interaction = 0.045). There were no significant differences in changes between the coach-directed and self-directed groups. There were no differences in outcomes at 12 months. CONCLUSIONS: In cancer survivors with obesity, metformin may have a short-term effect on IGF-1 reduction that wanes over time.

Cost of behavioral weight loss programs implemented in clinical practice: The POWER trial at Johns Hopkins.

Obesity presents an important public health problem that affects more than a third of the U.S. adult population and that is associated with increased morbidity, mortality, and costs. Previously, we documented that two primary care-based weight loss interventions were clinically effective. To encourage the implementation of and reimbursement for these interventions, we evaluated their relative cost-effectiveness. We performed a cost analysis of the Practice-based Opportunities for Weight Reduction (POWER) trial, a three-arm trial that enrolled 415 patients with obesity from six primary care practices. Trial participants were randomized to a control arm, an in-person support intervention, or a remote support intervention; in the two intervention arms, behavioral interventions were delivered over 24 months, in two phases. Weight loss was measured at 6, 12, and 24 months. Using timesheets and empirical data, we evaluated the cost of the in-person and remote support interventions from the perspective of a health care system delivering the interventions. A univariate sensitivity analysis was conducted to evaluate uncertainty around model assumptions. All comparisons were tested using independent t-tests. Cost of the in-person intervention was higher at 6 months ($113 per participant per month and $117 per kg lost) than the remote support intervention ($101 per participant per month and $99 per kg lost; p < .001). Costs were also higher for the in-person support intervention at 24 months ($73 per participant per month and $342 per kg lost) than for the remote support intervention ($53 per participant per month and $275 per kg lost; p < .001). In the sensitivity analyses, cost ranged from $274/kg lost to $456/kg lost for the in-person support intervention and from $218/kg to $367/kg lost for the remote support intervention. A primary care weight loss intervention administered remotely was relatively more cost-effective than an in-person intervention. Expanding the scope of reimbursable programs to include other cost-effective interventions could help ensure that a broader range of patients receive the type of support needed.

Association of care management intensity with healthcare utilization in an all-condition care management program.

OBJECTIVES: To identify care needs among Medicaid and Medicare patients in an all-condition care management program involving case managers (CMs) and community health workers (CHWs), and to examine the relationship between intervention intensity and healthcare utilization. STUDY DESIGN: Retrospective longitudinal evaluation of managed care-hired CMs and CHWs based at 8 primary care sites participating in the Johns Hopkins Community Health Partnership (J-CHiP). METHODS: Patients at high risk for hospitalization were enrolled in J-CHiP. CMs provided care coordination and CHWs addressed barriers to care. Four program intensity categories were created: low CM-low CHW, low CM-high CHW, high CM-low CHW, and high CM-high CHW. We evaluated the adjusted relative risk (RR) of emergency department (ED) visits, hospitalizations, and 30-day hospital readmissions pre- and post enrollment in the program using CM documentation, electronic health record data, and insurance claims. RESULTS: Among 1408 Medicaid and 2196 Medicare patients, the predominant barriers to care were lack of transportation, unstable housing, medication payment, and healthy food access. Among Medicaid and Medicare patients, high CM-high CHW and high CM-low CHW intensities were associated with a higher adjusted risk of hospitalization and 30-day hospital readmission after program implementation compared with low CM-low CHW intensity. Among patients with low CM-high CHW intensity, Medicaid patients had a higher risk of readmission (RR, 1.47; P = .016) and Medicare patients had a higher risk of ED visit (RR, 1.33; P = .001) post program implementation. CONCLUSIONS: In this longitudinal evaluation of an all-condition, unstructured, managed care organization-led program, preprogram trajectories of healthcare utilization rates among patients increased rather than decreased after program implementation, especially among patients receiving the highest care management program intensity.

Geographically Localized Medicine House-Staff Teams and Patient Satisfaction.

BACKGROUND: Geographically localized care teams may demonstrate improved communication between team members and patients, potentially enhancing coordination of care. However, the impact of geographically localized team on patient experience scores is not well understood. OBJECTIVE: To compare experience scores of patients on resident teams home clinical units with patients assigned to them off of their home units over a 10-year period. PARTICIPANTS: Patients admitted to any of the 4 chief resident staffed internal medicine inpatient service were included. Patients admitted to the house-staff teams' home clinical unit comprised the exposure group and their patients off of their home units comprised the control patients. MEASUREMENT: Top-box experience scores calculated from the physician Hospital Consumer Assessment of Healthcare and Provider Systems (HCAHPS) and Press Ganey patient satisfaction surveys. RESULTS: There were 3012 patients included in the study. There were no significant differences in experience scores with physician communication, nursing communication, pain, or discharge planning between the 2 groups. Patients did not report satisfaction more often with the time physicians spent with them on localized teams (48.6% vs 47.5%; P = .54) or that staff were better at working together (63.2% vs 61.3%; P = .29). This did not change during a 45-month period when the proportion of patients on home units exceeded 75% and multidisciplinary rounds were started. CONCLUSION: Patients cared for by geographically localized teams did not have better patient experience. Other factors such as physician communication skills or limited time spent in direct care may overshadow the impact of having localized teams. Further research is needed to better understand organizational, team, and individual factors impacting patient experience.

Influence of subsidies and promotional strategies on outcomes in a beneficiary-based commercial weight-loss programme.

To determine whether initial engagement, continued participation, and weight loss vary by subsidy and promotional strategies in a beneficiary-based, commercial weight-loss programme. We conducted a retrospective analysis of data from 2013 to 2016. Our dependent variables included initial engagement (≥1 calls; ≥2 weights), coach calls and weight change. Our independent variables were subsidy strategy (total subsidy (n = 9) vs cost sharing (n = 3)) and combination of promotional-subsidy strategies (mixed campaign + total subsidy (n = 6) vs mass media + total subsidy (n = 3)). We used logistic and linear regression analyses adjusted for beneficiary factors and clustering by organization. From 12 participating organizations, 26 068 beneficiaries registered of which 6215 initially engaged. Cost sharing was associated with significantly greater initial engagement as compared to total subsidy (OR 3.73, P < 0.001); however, no significant between-group differences existed in calls or weight change. Mass media + total subsidy group had significantly greater calls and weight loss at 12 months compared to mixed campaign + total subsidy (-2.6% vs -1.8%, P = 0.04). Cost sharing may promote greater initial engagement, although does not contribute to better participation or weight loss relative to total subsidy. If organizations elect total subsidy, then pairing this strategy with a mass media campaign may promote greater participation and weight loss among beneficiaries.

Does Patient Experience Predict 30-Day Readmission? A Patient-Level Analysis of HCAHPS Data.

BACKGROUND: Hospital-level studies have found an inverse relationship between patient experience and readmissions. However, based on typical survey response time, it is unclear if patients are able to respond to surveys before they get readmitted and whether being readmitted might be a driver of poor experience scores (reverse causation). OBJECTIVE: Using patient-level Hospital Consumer Assessment of Healthcare Providers and Systems (HCHAPS) and Press Ganey data to examine the relationship between readmissions and experience scores and to distinguish between patients who responded before or after a subsequent readmission. DESIGN: Retrospective analysis of 10-year HCAHPS data. SETTING: Single tertiary care academic hospital. PARTICIPANTS: Patients readmitted within 30 days of an index hospitalization who received an HCAHPS survey linked to index admission comprised the exposure group. This group was divided into those who responded prior to readmission and those who responded after readmission. Nonreadmitted patients comprised the control group. ANALYSIS: Multivariable-logistic regression to analyze the association between HCHAPS and Press Ganey scores and 30-readmission status, adjusted for patient factors. RESULTS: Only 15.8% of the readmitted patients responded to the survey prior to readmission, and their scores were not significantly different from the nonreadmitted patients. The patients who responded after readmission were significantly more dissatisfied with physicians (doctors listened 73.0% vs 79.2%, aOR 0.75, P < .0001), staff responsiveness, (call button 50.0% vs 59.1%, aOR 0.71, P < .0001) pain control, discharge plan, noise, and cleanliness of the hospital. CONCLUSIONS: Our findings suggest that poor patient experience may be due to being readmitted, rather than being predictive of readmission.

Patient Perceptions of Readmission Risk: An Exploratory Survey.

Interventions to prevent readmissions often rely upon patient participation to be successful. We surveyed 895 general medicine patients slated for hospital discharge to (1) assess patient attitudes surrounding readmission, (2) ascertain whether these attitudes were associated with actual readmission, and (3) determine whether patients can estimate their own readmission risk. Actual readmissions and other clinical variables were captured from administrative data and linked to individual survey responses. We found that actual readmissions were not correlated with patients' interest in preventing readmission, sense of control over readmission, or intent to follow discharge instructions. However, patients were able to predict their own readmissions (P = .005) even after adjusting for predicted readmission rate, race, sex, age, and payer. Reassuringly, over 80% of respondents reported that they would be frustrated or disappointed to be readmitted and almost 90% indicated that they planned to follow all of their discharge instructions. Whether assessing patient-perceived readmission risk might help to target preventive interventions warrants further study.

Use of online recruitment strategies in a randomized trial of cancer survivors.

BACKGROUND/AIMS: Despite widespread Internet adoption, online advertising remains an underutilized tool to recruit participants into clinical trials. Whether online advertising is a cost-effective method to enroll participants compared to other traditional forms of recruitment is not known. METHODS: Recruitment for the Survivorship Promotion In Reducing IGF-1 Trial, a community-based study of cancer survivors, was conducted from June 2015 through December 2016 via in-person community fairs, advertisements in periodicals, and direct postal mailings. In addition, "Right Column" banner ads were purchased from Facebook to direct participants to the Survivorship Promotion In Reducing IGF-1 Trial website. Response rates, costs of traditional and online advertisements, and demographic data were determined and compared across different online and traditional recruitment strategies. Micro-trials optimizing features of online advertisements were also explored. RESULTS: Of the 406 respondents to our overall outreach efforts, 6% (24 of 406) were referred from online advertising. Facebook advertisements were shown over 3 million times (impressions) to 124,476 people, which resulted in 4401 clicks on our advertisement. Of these, 24 people ultimately contacted study staff, 6 underwent prescreening, and 4 enrolled in the study. The cost of online advertising per enrollee was $794 when targeting a general population versus $1426 when accounting for strategies that specifically targeted African Americans or men. By contrast, community fairs, direct mail, or periodicals cost $917, $799, or $436 per enrollee, respectively. Utilization of micro-trials to assess online ads identified subtleties (e.g. use of an advertisement title) that substantially impacted viewer interest in our trial. CONCLUSION: Online advertisements effectively directed a relevant population to our website, which resulted in new enrollees in the Survivorship Promotion In Reducing IGF-1 Trial at a cost comparable to traditional methods. Costs were substantially greater with online recruitment when targeting under-represented populations, however. Additional research using online micro-trial tools is needed to evaluate means of more precise recruitment to improve yields in under-represented groups. Potential gains from faster recruitment speed remain to be determined.

A Method for Attributing Patient-Level Metrics to Rotating Providers in an Inpatient Setting.

BACKGROUND: Individual provider performance drives group metrics, and increasingly, individual providers are held accountable for these metrics. However, appropriate attribution can be challenging, particularly when multiple providers care for a single patient. OBJECTIVE: We sought to develop and operationalize individual provider scorecards that fairly attribute patient-level metrics, such as length of stay and patient satisfaction, to individual hospitalists involved in each patient's care. DESIGN: Using patients cared for by hospitalists from July 2010 through June 2014, we linked billing data across each hospitalization to assign "ownership" of patient care based on the type, timing, and number of charges associated with each hospitalization (referred to as "provider day weighted "). These metrics were presented to providers via a dashboard that was updated quarterly with their performance (relative to their peers). For the purposes of this article, we compared the method we used to the traditional method of attribution, in which an entire hospitalization is attributed to 1 provider, based on the attending of record as labeled in the administrative data. RESULTS: Provider performance in the 2 methods was concordant 56% to 75% of the time for top half versus bottom half performance (which would be expected to occur by chance 50% of the time). While provider percentile differences between the 2 methods were modest for most providers, there were some providers for whom the methods yielded dramatically different results for 1 or more metrics. CONCLUSION: We found potentially meaningful discrepancies in how well providers scored (relative to their peers) based on the method used for attribution. We demonstrate that it is possible to generate meaningful provider-level metrics from administrative data by using billing data even when multiple providers care for 1 patient over the course of a hospitalization.

Does Provider Self-Reporting of Etiquette Behaviors Improve Patient Experience? A Randomized Controlled Trial.

BACKGROUND: There is a glaring lack of published evidence-based strategies to improve the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) patient experience scores on the physician domain. Strategies that have been used are resource intensive and difficult to sustain. OBJECTIVE: We hypothesized that prompting providers to assess their own etiquette-based practices every 2 weeks over the course of 1 year would improve patient experience on the physician domain. DESIGN: Randomized controlled trial. SETTING: 4 acute care hospitals. PARTICIPANTS: Hospitalists. INTERVENTION: Hospitalists were randomized to the study or the control arm. The study arm was prompted every 2 weeks for 12 months to report how frequently they engaged in 7 best-practice bedside etiquette behaviors. Control arm participants received similarly worded questions on quality improvement behaviors. MEASUREMENT: Provider experience scores were calculated from the physician HCAHPS and Press Ganey survey provider items. RESULTS: Physicians reported high rates of etiquette-based behavior at baseline, and this changed modestly over the study period. Self-reported etiquette behaviors were not associated with experience scores. The difference in difference analysis of the baseline and postintervention physician experience scores between the intervention arm and the control arm was not statistically significant (P = 0.71). CONCLUSION: In this 12-month study, biweekly reflection and reporting of best-practice bedside etiquette behaviors did not result in significant improvement on physician domain experience scores. It is likely that hospitalists' self-assessment of their bedside etiquette may not reflect patient perception of these behaviors. Furthermore, hospitalists may be resistant to improvement in this area since they rate themselves highly at baseline. Journal of Hospital Medicine 2017;12:402-406.

Changes in patient satisfaction related to hospital renovation: experience with a new clinical building.

IMPORTANCE: There is an increasing trend toward designing hospitals with patient-centered features like reduced noise, improved natural light, visitor friendly facilities, well-decorated rooms, and hotel-like amenities. It has also been suggested that because patients cannot reliably distinguish positive experiences with the physical environment from positive experience with care, an improved hospital environment leads to higher satisfaction with physicians, nursing, food service, housekeeping, and higher overall satisfaction. OBJECTIVE: To characterize changes in patient satisfaction that occurred when clinical services (comprised of stable nursing, physician, and unit teams) were relocated to a new clinical building with patient-centered features. We hypothesized that new building features would positively impact provider, ancillary staff, and overall satisfaction, as well as improved satisfaction with the facility. DESIGN: Natural experiment utilizing a pre-post design with concurrent controls. SETTING: Academic tertiary care hospital. PARTICIPANTS: We included all patients discharged from 12 clinical units that relocated to the new clinical building who returned surveys in the 7.5-month period following the move. Premove baseline data were captured from the year prior to the move. Patients on unmoved clinical units who returned satisfaction surveys served as concurrent controls. EXPOSURE: Patient-centered design features incorporated into the new clinical building. All patients during the baseline period and control patients during the study period were located in usual patient rooms with standard hospital amenities. MAIN OUTCOMES AND MEASURES: The primary outcome was satisfaction scores on the Press Ganey and Hospital Consumer Assessment of Healthcare Providers and Systems survey, dichotomized at highest category versus lower categories. We performed logistic regression to identify predictors of "top-box" scores. RESULTS: The move was associated with improved room- and visitor-related satisfaction without significant improvement in satisfaction with clinical providers, ancillary staff, and only 1 of 4 measures of overall satisfaction improved. The most prominent increase was with pleasantness of décor (33.6% vs 64.8%) and visitor accommodation and comfort (50.0% vs 70.3%). CONCLUSION AND RELEVANCE: Patients responded positively to pleasing surroundings and comfort, but were able to discriminate their experiences with the hospital environment from those with physicians and nurses. The move to a new building had significant impact on only 1 of the 4 measures of overall patient satisfaction, as clinical care is likely to be the most important determinant of this outcome. Hospital administrators should not use outdated facilities as an excuse for suboptimal provider satisfaction scores.

Willingness to pay for continued delivery of a lifestyle-based weight loss program: The Hopkins POWER trial.

OBJECTIVE: In behavioral studies of weight loss programs, participants typically receive interventions free of charge. Understanding an individual's willingness to pay (WTP) for weight loss programs could be helpful when evaluating potential funding models. This study assessed WTP for the continuation of a weight loss program at the end of a weight loss study. METHODS: WTP was assessed with monthly coaching contacts at the end of the two-year Hopkins POWER trial. Interview-administered questionnaires determined the amount participants were willing to pay for continued intervention. Estimated maximum payment was calculated among those willing to pay and was based on quantile regression adjusted for age, body mass index, race, sex, household income, treatment condition, and weight change at 24 months. RESULTS: Among the participants (N=234), 95% were willing to pay for continued weight loss intervention; the adjusted median payment was $45 per month. Blacks had a higher adjusted median WTP ($65/month) compared to Non-Blacks ($45/month), P=0.021. CONCLUSIONS: A majority of participants were willing to pay for a continued weight loss intervention with a median monthly amount that was similar to the cost of commercial weight loss programs.

Use of provider-level dashboards and pay-for-performance in venous thromboembolism prophylaxis.

BACKGROUND: Despite safe and cost-effective venous thromboembolism (VTE) prevention measures, VTE prophylaxis rates are often suboptimal. Healthcare reform efforts emphasize transparency through programs to report performance and payment incentives through pay-for-performance programs. OBJECTIVE: To sequentially examine an individualized physician dashboard and pay-for-performance program to improve VTE prophylaxis rates among hospitalists. DESIGN: Retrospective analysis of 3144 inpatient admissions. After a baseline observation period, VTE prophylaxis compliance was compared during both interventions. SETTING: A 1060-bed tertiary care medical center. PARTICIPANTS: Thirty-eight part-time and full-time academic hospitalists. INTERVENTIONS: A Web-based hospitalist dashboard provided VTE prophylaxis feedback. After 6 months of feedback only, a pay-for-performance program was incorporated, with graduated payouts for compliance rates of 80% to 100%. MEASUREMENTS: Prescription of American College of Chest Physicians' guideline-compliant VTE prophylaxis and subsequent pay-for-performance payments. RESULTS: Monthly VTE prophylaxis compliance rates were 86% (95% confidence interval [CI]: 85-88), 90% (95% CI: 88-93), and 94% (95% CI: 93-96) during the baseline, dashboard, and combined dashboard/pay-for-performance periods, respectively. Compliance significantly improved with the use of the dashboard (P = 0.01) and addition of the pay-for-performance program (P = 0.01). The highest rate of improvement occurred with the dashboard (1.58%/month; P = 0.01). Annual individual physician performance payments ranged from $53 to $1244 (mean $633; standard deviation ±$350). CONCLUSIONS: Direct feedback using dashboards was associated with significantly improved compliance, with further improvement after incorporating an individual physician pay-for-performance program. Real-time dashboards and physician-level incentives may assist hospitals in achieving higher safety and quality benchmarks.

Longitudinal accuracy of web-based self-reported weights: results from the Hopkins POWER Trial.

BACKGROUND: Websites and phone apps are increasingly used to track weights during weight loss interventions, yet the longitudinal accuracy of these self-reported weights is uncertain. OBJECTIVE: Our goal was to compare the longitudinal accuracy of self-reported weights entered online during the course of a randomized weight loss trial to measurements taken in the clinic. We aimed to determine if accuracy of self-reported weight is associated with weight loss and to determine the extent of misclassification in achieving 5% weight loss when using self-reported compared to clinic weights. METHODS: This study examined the accuracy of self-reported weights recorded online among intervention participants in the Hopkins Practice-Based Opportunities for Weight Reduction (POWER) trial, a randomized trial examining the effectiveness of two lifestyle-based weight loss interventions compared to a control group among obese adult patients with at least one cardiovascular risk factor. One treatment group was offered telephonic coaching and the other group was offered in-person individual coaching and group sessions. All intervention participants (n=277) received a digital scale and were asked to track their weight weekly on a study website. Research staff used a standard protocol to measure weight in the clinic. Differences (self-reported weight - clinic weight) indicate if self-report under (-) or over (+) estimated clinic weight using the self-reported weight that was closest in time to the clinic weight and was within a window ranging from the day of the clinic visit to 7 days before the 6-month (n=225) and 24-month (n=191) clinic visits. The absolute value of the differences (absolute difference) describes the overall accuracy. RESULTS: Underestimation of self-reported weights increased significantly from 6 months (mean -0.5 kg, SD 1.0 kg) to 24 months (mean -1.1 kg, SD 2.0 kg; P=.002). The average absolute difference also increased from 6 months (mean 0.7 kg, SD 0.8 kg) to 24 months (mean 1.3, SD 1.8 kg; P<.001). Participants who achieved the study weight loss goal at 24 months (based on clinic weights) had lower absolute differences (P=.01) compared to those who did not meet this goal. At 24 months, there was 9% misclassification of weight loss goal success when using self-reported weight compared to clinic weight as an outcome. At 24 months, those with self-reported weights (n=191) had three times the weight loss compared to those (n=73) without self-reported weights (P<.001). CONCLUSIONS: Underestimation of weight increased over time and was associated with less weight loss. In addition to intervention adherence, weight loss programs should emphasize accuracy in self-reporting. TRIAL REGISTRATION: ClinicalTrials.gov: NCT00783315; http://clinicaltrials.gov/show/NCT00783315 (Archived by WebCite at http://www.webcitation.org/6R4gDAK5K).

Association of self-reported hospital discharge handoffs with 30-day readmissions.

IMPORTANCE: Poor health care provider communication across health care settings may lead to adverse outcomes. OBJECTIVE: To determine the frequency with which inpatient providers report communicating directly with outpatient providers and whether direct communication was associated with 30-day readmissions. DESIGN: We conducted a single-center prospective study of self-reported communication patterns by discharging health care providers on inpatient medical services from September 2010 to December 2011 at The Johns Hopkins Hospital. SETTING: A 1000-bed urban, academic center. PARTICIPANTS: There were 13 954 hospitalizations in this time period. Of those, 9719 were for initial visits. After additional exclusions, including patients whose outpatient health care provider was the inpatient attending physician, those who had planned or routine admissions, those without outpatient health care providers, those who died in the hospital, and those discharged to other healthcare facilities, we were left with 6635 hospitalizations for analysis. INTERVENTIONS: Self-reported communication was captured from a mandatory electronic discharge worksheet field. Thirty-day readmissions, length of stay (LOS), and demographics were obtained from administrative databases. DATA EXTRACTION: We used multivariable logistic regression models to examine, first, the association between direct communication and patient age, sex, LOS, race, payer, expected 30-day readmission rate based on diagnosis and illness severity, and physician type and, second, the association between 30-day readmission and direct communication, adjusting for patient and physician-level factors. RESULTS: Of 6635 included hospitalizations, successful direct communication occurred in 2438 (36.7%). The most frequently reported reason for lack of direct communication was the health care provider's perception that the discharge summary was adequate. Predictors of direct communication, adjusting for all other variables, included patients cared for by hospitalists without house staff (odds ratio [OR], 1.81 [95% CI, 1.59-2.08]), high expected 30-day readmission rate (OR, 1.18 [95% CI, 1.10-1.28] per 10%), and insurance by Medicare (OR, 1.35 [95% CI, 1.16-1.56]) and private insurance companies (OR, 1.35 [95% CI, 1.18-1.56]) compared with Medicaid. Direct communication with the outpatient health care provider was not associated with readmissions (OR, 1.08 [95% CI, 0.92-1.26]) in adjusted analysis. CONCLUSIONS AND RELEVANCE: Self-reported direct communication between inpatient and outpatient providers occurred at a low rate but was not associated with readmissions. This suggests that enhancing interprovider communication at hospital discharge may not, in isolation, prevent readmissions.