Suchergebnisse

Purpose: To assess the efficacy of a food service implementation intervention designed to increase provision of foods consistent with nutrition guidelines on child consumption of fruit, vegetables, breads/cereals, meat/alternatives, dairy, and diet quality in care. Design: Exploratory cluster randomized controlled trial. Setting: Twenty-five childcare centers in New South Wales, Australia. Sample: Three hundred ninety-five children aged 2 to 5 years. Intervention: Centers were randomized to the intervention or control group. Intervention development was guided by the Theoretical Domains Framework and included securing executive support, provision of group training, resources, audit and feedback, and one-on-one support. The intervention was delivered across six months and the study was conducted between March and December 2016. Measures: Child diet was assessed by educators using a validated questionnaire modified for completion in childcare center. Analysis: Data were analyzed in SAS using generalized linear mixed models adjusted for clustering. Results: Children in the intervention group consumed significantly higher number of serves of vegetables (0.4 serves; P < .001), wholegrain cereals (0.7 serves; P = .02), and meat/alternatives (0.5 serves; P < .001), and had higher diet quality scores (10.3; P < .001). Conclusions: A food service intervention targeting the provision of food significantly improved child dietary intake in care. Such findings are relevant to health promotion practitioners responsible for supporting improvements in child diet.

Purpose: To assess the effectiveness of an intervention including training, provision of written menu feedback, and printed resources on increasing childcare compliance with nutrition guidelines. Design: Parallel group randomized controlled trial. Setting: Hunter New England region, New South Wales, Australia. Participants: Forty-four childcare centers that prepare and provide food on-site to children while in care. Intervention: The intervention was designed using the Theoretical Domains Framework, targeted managers, and cooks and included implementation strategies that addressed identified barriers. Measures: Outcomes included the proportion of menus providing food servings (per child) compliant with overall nutrition guideline recommendations and each individual food group assessed via menu assessments. Cook knowledge of recommendations, intervention acceptability, adverse events, and barriers were also assessed via questionnaires with cooks and managers. Analysis: Logistic regression models, adjusted for baseline values of the outcome. Results: At baseline and follow-up, zero centers in the intervention and control groups were compliant with the overall menu guidelines or for the vegetable and meat food groups. Follow-up between-group differences in compliance for discretionary (33.3 vs 5, P = .18), dairy (41.7 vs 15, P = .16), breads and cereals (8.3 vs 10 P = 1.00), and fruit (16.7 vs 10, P = .48) were all nonsignificant. Relative to the control group, intervention centers showed a significantly greater increase in percentage of cooks with correct knowledge for vegetable servings (93.3 vs 36.4, P = .008). Conclusion: Although the application of the theoretical framework produced a broader understanding of the determinants of menu compliance, due to the complexity of guidelines, limited follow-up support, lower training uptake, and low intervention dose, the intervention was not effective in supporting the practice change required.

BACKGROUND: Reducing the transmission of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) is a global priority. Contact tracing identifies people who were recently in contact with an infected individual, in order to isolate them and reduce further transmission. Digital technology could be implemented to augment and accelerate manual contact tracing. Digital tools for contact tracing may be grouped into three areas: 1) outbreak response; 2) proximity tracing; and 3) symptom tracking. We conducted a rapid review on the effectiveness of digital solutions to contact tracing during infectious disease outbreaks. OBJECTIVES: To assess the benefits, harms, and acceptability of personal digital contact tracing solutions for identifying contacts of an identified positive case of an infectious disease. SEARCH METHODS: An information specialist searched the literature from 1 January 2000 to 5 May 2020 in CENTRAL, MEDLINE, and Embase. Additionally, we screened the Cochrane COVID‐19 Study Register. SELECTION CRITERIA: We included randomised controlled trials (RCTs), cluster‐RCTs, quasi‐RCTs, cohort studies, cross‐sectional studies and modelling studies, in general populations. We preferentially included studies of contact tracing during infectious disease outbreaks (including COVID‐19, Ebola, tuberculosis, severe acute respiratory syndrome virus, and Middle East respiratory syndrome) as direct evidence, but considered comparative studies of contact tracing outside an outbreak as indirect evidence. The digital solutions varied but typically included software (or firmware) for users to install on their devices or to be uploaded to devices provided by governments or third parties. Control measures included traditional or manual contact tracing, self‐reported diaries and surveys, interviews, other standard methods for determining close contacts, and other technologies compared to digital solutions (e.g. electronic medical records). DATA COLLECTION AND ANALYSIS: Two review authors independently screened records and all ...