Objective: To conduct a comprehensive process evaluation of a policy, systems, and environmental (PSE) change intervention.
Design: Quasi-experimental, mixed methods.
Setting: Low-income urban school district.
Participants: Fifth-grade students in 4 schools assigned to 2 intervention and 2 comparison schools (intervention, n = 142; comparison, n = 170).
Intervention: Both groups received a nutrition curriculum delivered by classroom teachers. Intervention schools also received 10 PSE lessons taught by paraprofessional educators.
Main Outcome Measures: Quantitative data were obtained from fidelity and observation checklists, grading rubrics and self-reported student surveys. Focus group and interviews provided qualitative data. Quantitative measures included assessments of PSE and fruit and vegetable knowledge, as well as assessment of times fruits and vegetables (FV) were consumed yesterday.
Analyses: Qualitative data were analyzed using inductive content analysis. Quantitative data were analyzed using repeated measures analysis of variance and analysis of co-variance.
Results: Fidelity, dose, reach, and acceptance of PSE intervention were high; students felt more empowered, although PSE lessons were considered lengthy and complicated. Intervention PSE and FV knowledge scores were significantly higher than comparison scores (F, P < .001; and F, P < .05, respectively). However, issues in communication were identified between school staff and researchers.
Conclusions And Implications: Policy, systems, and environmental classroom interventions commented on the differences between quantitative and qualitative assessments, and this suggests the need for more sensitive quantitative assessments. Future research should look at long-term outcomes as this study only looked at short-term outcomes.
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http://dx.doi.org/10.1016/j.jneb.2018.07.017 | DOI Listing |
J Perinatol
December 2024
Department of Pediatrics, Division of Neonatology, Vanderbilt University Medical Center, Nashville, TN, USA.
Sci Rep
December 2024
School of Management, Hefei University of Technology, Hefei, People's Republic of China.
Medical devices (MDs) play a critical role in healthcare delivery while also bringing potential medical risks and unintended harms to patients. Although government regulation is well recognized as a critical and essential function for ensuring the safety of MDs in many countries, the supplementary role that hospitals play is often neglected. This paper constructs a tripartite evolutionary game model involving the government, hospitals, and MDs enterprises to explore their strategic behaviors of MDs regulation in healthcare delivery.
View Article and Find Full Text PDFJ Public Health Policy
December 2024
Department of Health Management and Policy, University of Michigan, Ann Arbor, MI, 48109-2029, USA.
Politicians often claim to be "following science" but their claims are, reasonably, disputed. To claim to be following the science can mean that scientific evidence affects or legitimates decisions. The evidence that politicians are following science often comes from formal systems of advice that translate science into advice.
View Article and Find Full Text PDFSci Rep
December 2024
School of Public Administration, Guangzhou University, Guangzhou, 510006, China.
With the accelerated urbanization and economic development in Northwest China, the efficiency of urban wastewater treatment and the importance of water quality management have become increasingly significant. This work aims to explore urban wastewater treatment and carbon reduction mechanisms in Northwest China to alleviate water resource pressure. By utilizing online monitoring data from pilot systems, it conducts an in-depth analysis of the impacts of different wastewater treatment processes on water quality parameters.
View Article and Find Full Text PDFAppl Health Econ Health Policy
December 2024
Health Systems and Health Economics, School of Public Health, Curtin University, Bentley, Perth, Australia.
Background: Women's preferences for time allocation reveal how they would like to prioritise market work, family life, and other competing activities. Whilst preferences may not always directly translate to behaviour, they are an important determinant of intention to act.
Objective: We present the first study to apply a discrete choice experiment (DCE) to investigate time allocation preferences among women diagnosed with breast cancer and women without a cancer diagnosis.
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