Background Many patients exhibit multiple chronic disease risk behaviors. Research provides little information about advice that can maximize simultaneous health behavior changes. Methods To test which combination of diet and activity advice maximizes healthy change, we randomized 204 adults with elevated saturated fat and low fruit/vegetable intakes, high sedentary leisure time and low physical activity to one of four treatments: increase fruit/vegetable and physical activity; decrease fat and sedentary leisure; decrease fat and increase physical activity; increase fruit/vegetable and decrease sedentary leisure. Treatments provided three weeks of remote coaching supported by mobile decision support technology and financial incentives. During treatment, incentives were contingent on using the mobile device to self-monitor and attain behavioral targets; during follow-up they were contingent only on recording. The outcome was standardized, composite improvement on the four diet and activity behaviors at end of treatment and five month follow-up. Results Of those randomized, 200 (98%) completed follow-up. The increase fruit/vegetable and decrease sedentary leisure treatment improved more than the other 3 treatments (p<.001). Specifically, fruit/vegetables increased from 1.2 servings/day to 5.5; sedentary leisure decreased from 219.2 minutes/day to 89.3; saturated fat decreased from 12.0% of calories consumed to 9.5%. Differences between treatment groups were maintained through follow-up. Traditional dieting (decrease fat and increase physical activity) improved less than the other 3 treatments (p<.001). Conclusions Remote coaching supported by mobile technology and financial incentives holds promise to improve diet and activity. Targeting fruits/vegetables and sedentary leisure together maximizes overall adoption and maintenance of multiple healthy behavior changes.

Self-administering nicotine appears to improve depression-prone smokers' emotional response to a pleasant stimulus.

This study provides useful information to guide providers, administrators, researchers, and policy experts in planning for optimal provision of palliative care services to those in need.

BackgroundSuboptimal diet and physical inactivity are prevalent, co-occurring chronic disease risk factors, yet little is known about how to maximize multiple risk behavior change. Make Better Choices, a randomized controlled trial, tests competing hypotheses about the optimal way to promote healthy change in four bundled risk behaviors: high saturated fat intake, low fruit and vegetable intake, low physical activity, and high sedentary leisure screen time. The study aim is to determine which combination of two behavior change goals - one dietary, one activity - yields greatest overall healthy lifestyle change.Methods/DesignAdults (n = 200) with poor quality diet and sedentary lifestyle will be recruited and screened for study eligibility. Participants will be trained to record their diet and activities onto a personal data assistant, and use it to complete two weeks of baseline. Those who continue to show all four risk behaviors after baseline recording will be randomized to one of four behavior change prescriptions: 1) increase fruits and vegetables and increase physical activity, 2) decrease saturated fat and increase physical activity, 3) increase fruits and vegetable and decrease saturated fat, or 4) decrease saturated fat and decrease sedentary activity. They will use decision support feedback on the personal digital assistant and receive counseling from a coach to alter their diet and activity during a 3-week prescription period when payment is contingent upon meeting behavior change goals. They will continue recording on an intermittent schedule during a 4.5-month maintenance period when payment is not contingent upon goal attainment. The primary outcome is overall healthy lifestyle change, aggregated across all four risk behaviors.DiscussionThe Make Better Choices trial tests a disseminable lifestyle intervention supported by handheld technology. Findings will fill a gap in knowledge about optimal goal prescription to facilitate simultaneous diet and activity change. Results will shed light on which goal prescription maximizes healthful lifestyle change.Trial RegistrationClinical Trials Gov. Identifier NCT00113672

While the uptake of palliative care in the United States is steadily improving, there continues to be a gap in which many patients are not offered care that explicitly elicits and respects their personal wishes. This is due in part to a mismatch of supply and demand; the number of seriously ill individuals far exceeds the workload capacities of palliative care specialty providers. We conducted a field trial of an intervention designed to promote the identification of seriously ill patients appropriate for a discussion of their goals of care and to advance the role of nonpalliative care clinicians by enhancing their knowledge of and comfort with primary palliative care skills. At 3 large Midwestern academic medical centers, a palliative care physician or nurse clinician embedded with a selected nonpalliative care service line or unit on a regularly scheduled basis for up to 6 months. Using agreed-upon criteria, patients were identified as being appropriate for a goals of care conversation; conversations with those patients and/or their families were then conducted with the palliative care specialist providing education, coaching, and mentoring to the nonpalliative care clinician, when possible. All of the sites increased the presence of palliative care within the selected service line or unit, and the nonpalliative care clinicians reported increased comfort and skill at conducting goals of care conversations. This intervention is a first step toward increasing patients' access to palliative care to alleviate distress and to more consistently deliver care that honors patient and family preferences.

This study is a systematic review of a national sample of hospital-led population health programs in place at essential hospitals and academic medical centers in the US from 2012 to 2014. We conducted a content analysis of abstracts describing 121 population health initiatives to understand how hospital leaders are translating population health objectives into action. Intended patient population, services provided, and outcomes measured are described. The programs' relationship to an adapted conceptual model of population health as part of a culture of health was assessed. Nearly all programs in the study were hybrids, in that they possessed features belonging to each of the model's two program types (healthcare system and health community system). The majority were focused on patients already attributed to a particular hospital system, but many involved partnerships with community-based or social service resources. This finding reflects the missions of essential hospitals and academic medical centers to improve the lives and care of patients, while recognizing the fundamental need to improve the health of the broader population.

implementation of a palliative care team (PCT) for cancer patients and palliative case management (CM) for CHF patients. Methods. The Future Elderly Model is a microsimulation model derived from the Health and Retirement Study and Medicare data that projects the health status, quality of life, and economic outcomes of the US adults over age 50. We informed the model with parameters from RCTs identified in our systematic review.

Objective Given that electronic clinical quality measures (eCQMs) are playing a central role in quality improvement applications nationwide, a stronger evidence base demonstrating their reliability is critically needed. To assess the reliability of electronic health record-extracted data elements and measure results for the Elective Delivery and Exclusive Breast Milk Feeding measures (vs manual abstraction) among a national sample of US acute care hospitals, as well as common sources of discrepancies and change over time. Materials and Methods eCQM and chart-abstracted data for the same patients were matched and compared at the data element and measure level for hospitals submitting both sources of data to The Joint Commission between 2017 and 2019. Sensitivity, specificity, and kappa statistics were used to assess reliability. Results Although eCQM denominator reliability had moderate to substantial agreement for both measures and both improved over time (Elective Delivery: kappa = 0.59 [95% confidence interval (CI), 0.58–0.61] in 2017 and 0.84 [95% CI, 083–0.85] in 2019; Exclusive Breast Milk Feeding: kappa = 0.58 [95% CI, 0.54–0.62] in 2017 and 0.70 [95% CI, 0.67–0.73] in 2019), the numerator status reliability was poor for Elective Delivery (kappa = 0.08 [95% CI, 0.03–0.12] in 2017 and 0.10 [95% CI, 0.05–0.15] in 2019) but near perfect for Exclusive Breast Milk Feeding (kappa = 0.85 [0.83, 0.87] in 2017 and 0.84 [0.83, 0.85] in 2019). The failure of the eCQM to accurately capture estimated gestational age, conditions possibly justifying elective delivery, active labor, and medical induction were the main reasons for the discrepancies. Conclusions Although eCQM denominator reliability for the Elective Delivery and Exclusive Breast Milk Feeding measures had moderate agreement when compared to medical record review, the numerator status reliability was poor for Elective Delivery, but near perfect for Exclusive Breast Milk Feeding. Improvements in eCQM data capture of some key data elements would greatly improve the reliability.