Background: Increasingly, scholars argue that de-implementation is a distinct concept from implementation; factors contributing to stopping a current practice might be distinct from those that encourage adoption of a new one. One such distinction is related to de-implementation outcomes. We offer preliminary analysis and guidance on de-implementation outcomes, including how they may differ from or overlap with implementation outcomes, how they may be conceptualized and measured, and how they could be measured in different settings such as clinical care vs. community programs. Conceptualization of outcomes: We conceptualize each of the outcomes from Proctor and colleagues' taxonomy of implementation outcomes for de-implementation research. First, we suggest key considerations for researchers assessing de-implementation outcomes, such as considering how the cultural or historical significance to the practice may impact de-implementation success and, as others have stated, the importance of the patient in driving healthcare overuse. Second, we conceptualize de-implementation outcomes, paying attention to a number of factors such as the importance of measuring outcomes not only of the targeted practice but of the deimplementation process as well. Also, the degree to which a practice should be de-implemented must be distinguished, as well as if there are thresholds that certain outcomes must reach before action is taken. We include a number of examples across all outcomes, both from clinical and community settings, to demonstrate the importance of these considerations. We also discuss how the concepts of health disparities, cultural or community relevance, and altruism impact the assessment of de-implementation outcomes. Conclusion: We conceptualized existing implementation outcomes within the context of de-implementation, noted where there are similarities and differences to implementation research, and recommended a clear distinction between the target for de-implementation and the strategies used to promote de-implementation. This critical analysis can serve as a building block for others working to understand de-implementation processes and de-implement practices in real-world settings.
Background: The Adverse Childhood Experiences (ACEs) study articulated the negative effects of childhood trauma on adult weight and health. The purpose of the current study is to examine the associations between ACEs in infancy and toddlerhood and obesity and related health indicators in middle childhood. Methods: We used data collected from a sample of low-income families enrolled in the national evaluation of Early Head Start (EHS). Data come from 1335 demographically diverse families collected at or near children's ages 1, 2, 3, and 11. An EHS-ACE index was created based on interview and observation items from data collected at ages 1, 2, and 3, which were averaged to represent exposure across infancy and toddlerhood. At age 11, children's height and weight were measured and parents were asked about their child's health. Results: Children were exposed at rates of 30%, 28%, 15%, and 8% to one, two, three, and four or more EHS-ACEs, respectively. Logistic regressions revealed significant associations between EHS-ACEs in infancy/toddlerhood and obesity, respiratory problems, taking regular nonattention-related prescriptions, and the parent's global rating of children's health at age 11. Across all outcomes examined, children with four or more ACEs had the poorest health. Compared with children with no ACE exposure, the odds of each of the examined health outcomes were over twice as high for children who experienced four or more ACEs. Conclusions: Findings highlight that ACEs experienced very early in development are associated with children whose health is at risk later in childhood.
This study examines inter- and intrapersonal problems associated with being overweight among one thousand one hundred sixty-four 6- to 7-year-olds (49% boys) in 29 rural schools. Socioemotional data include child self-reports, peer sociometrics, and teacher reports. Results support the hypothesis that children with weight problems struggle socially and emotionally, and extend current understanding of child obesity by demonstrating that problems appear early, are evident in a community sample, can be identified using standard sociometric methods, and are worse among children with severe obesity. Sociometric status difference between levels of obesity were also found. Although obese children were neglected by peers, severely obese children were rejected.
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