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Impact of a Pilot School-Based Nutrition Intervention on Fruit and Vegetable Waste at School Lunches
Shreela Sharma Allison Marshall Joanne Chow Nalini Ranjit Gregory Bounds Katherine Hearne Nan Cramer Amanda Oceguera Alicia Farhat Christine Markham 《Journal of nutrition education and behavior》2019,51(10):1202-1210.e1
ObjectiveTo determine the preliminary impact of the Brighter Bites nutrition intervention on decreasing fruit and vegetable (F&V) waste at school lunches among fourth- and fifth-grade children.MethodThis was a nonrandomized pre–post-controlled study in Houston and Dallas, TX. Two schools received the Brighter Bites intervention (n = 76), and 1 comparison school (n = 39), during the 2017-2018 school year. Brighter Bites is a 16-week school-based nutrition intervention providing weekly distribution of fresh F&V plus nutrition education. Main outcome measures were direct observation and weights to measure the number of F&V dishes selected at school lunches, amount of F&V wasted (gm), and related nutrient waste (4 time points/child). Mixed-effects linear regression analysis was used to determine change in F&V selection and waste over time.ResultsThere was a significant decrease over time in proportion of F&V selected among those in the comparison school, but not the intervention schools (P < .001). Compared with children in the comparison group, those receiving Brighter Bites showed a significant decrease in the amount of F&V wasted at each meal (P < .001) and per item (P < .05) at the end of both 8 and 16 weeks of intervention. There were significant decreases in waste of energy (kcal); dietary fiber (gm); vitamins B1, B3, and B6 (mg); total folate (µg); and B12 (µg) among those receiving Brighter Bites (P < .05).Conclusions and ImplicationsAlthough absolute food or nutrient changes were small even when significant, programs such as Brighter Bites may contribute to a healthy intake. Future studies are warranted that include a larger sample size with a stringent, cluster-randomized control trial design and consideration for other covariates. 相似文献
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Dilip V. Jeste Susan Peschin Kathleen Buckwalter Dan G. Blazer Marsden H. McGuire Christine Moutier Allen Doederlein George Niederehe Brian Altman Jeff Borenstein Elyn Saks Grayson Norquist George F. Koob Wilson M. Compton Andrew Sperling Lisa Bain Danielle Glorioso Ilisa Halpern Paul Charles F. Reynolds 《The American journal of geriatric psychiatry》2018,26(6):617-630
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Susan F. Paparella 《Journal of emergency nursing》2018,44(3):294-295
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Harun Kundi Jeffrey J. Popma Linda R. Valsdottir Changyu Shen Kamil F. Faridi Duane S. Pinto Robert W. Yeh 《The Canadian journal of cardiology》2018,34(12):1648-1654
Background
We sought to identify nontraditional risk factors coded in administrative claims data and evaluate their ability to improve prediction of long-term mortality in patients undergoing percutaneous mitral valve repair.Methods
Patients undergoing transcatheter mitral valve repair using MitraClip implantation between September 28, 2010, and September 30, 2015 were identified among Medicare fee-for-service beneficiaries. We used nested Cox regression models to identify claims codes predictive of long-term mortality. Four groups of variables were introduced sequentially: cardiac and noncardiac risk factors, presentation characteristics, and nontraditional risk factors.Results
A total of 3782 patients from 280 clinical sites received treatment with MitraClip over the study period. During the follow-up period, 1114 (29.5%) patients died with a median follow-up time period of 13.6 (9.6 to 17.3) months. The discrimination of a model to predict long-term mortality including only cardiac risk factors was 0.58 (0.55 to 0.60). Model discrimination improved with the addition of noncardiac risk factors (c = 0.63, 0.61 to 0.65; integrated discrimination improvement [IDI] = 0.038, P < 0.001), and with the subsequent addition of presentation characteristics (c = 0.67, 0.65 to 0.69; IDI = 0.033, P < 0.001 compared with the second model). Finally, the addition of nontraditional risk factors significantly improved model discrimination (c = 0.70, 0.68 to 0.72; IDI = 0.019, P < 0.001, compared with the third model).Conclusions
Risk-prediction models, which include nontraditional risk factors as identified in claims data, can be used to predict long-term mortality risk more accurately in patients who have undergone MitraClip procedures. 相似文献8.
Susan Spencer Kimberly Stephens Brenda Swanson-Biearman Kimberly Whiteman 《Journal of emergency nursing》2019,45(5):561-566
ProblemEmergency departments throughout the nation are experiencing crowding related to increased patient volumes and decreased hospital inpatient bed capacity. As a result of lengthy wait times, patients are leaving without having medical treatment, and satisfaction is poor. The purpose of this quality improvement initiative was placing a provider in triage to complement the existing split-flow process aimed to decrease wait times to see a provider, length of stay (LOS), left without being seen (LWBS) rates, and improve patient satisfaction.MethodsA multiprofessional team was established. Nurses, advanced practice providers, and physicians collaborated on a project to place a provider in triage to assist in seeing patients as soon as possible and begin care or treatment.ResultsThe outcomes of the initiative were positive for ED LOS metrics and patient satisfaction. Door-to-provider time decreased from a high of 56 minutes to a low of 13 minutes. The percentage of patients LWBS decreased from a high of 12% to a low of 1.62%.DiscussionThe project showed that the evidence-based practice of a combined split-flow and provider-in-triage model resulted in improvements in throughput for patients who were treated and released from the emergency department. 相似文献
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