80 resultados para Secondary analysis


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Objective: In this secondary data analysis, three statistical methodologies were implemented to handle cases with missing data in a motivational interviewing and feedback study. The aim was to evaluate the impact that these methodologies have on the data analysis. ^ Methods: We first evaluated whether the assumption of missing completely at random held for this study. We then proceeded to conduct a secondary data analysis using a mixed linear model to handle missing data with three methodologies (a) complete case analysis, (b) multiple imputation with explicit model containing outcome variables, time, and the interaction of time and treatment, and (c) multiple imputation with explicit model containing outcome variables, time, the interaction of time and treatment, and additional covariates (e.g., age, gender, smoke, years in school, marital status, housing, race/ethnicity, and if participants play on athletic team). Several comparisons were conducted including the following ones: 1) the motivation interviewing with feedback group (MIF) vs. the assessment only group (AO), the motivation interviewing group (MIO) vs. AO, and the intervention of the feedback only group (FBO) vs. AO, 2) MIF vs. FBO, and 3) MIF vs. MIO.^ Results: We first evaluated the patterns of missingness in this study, which indicated that about 13% of participants showed monotone missing patterns, and about 3.5% showed non-monotone missing patterns. Then we evaluated the assumption of missing completely at random by Little's missing completely at random (MCAR) test, in which the Chi-Square test statistic was 167.8 with 125 degrees of freedom, and its associated p-value was p=0.006, which indicated that the data could not be assumed to be missing completely at random. After that, we compared if the three different strategies reached the same results. For the comparison between MIF and AO as well as the comparison between MIF and FBO, only the multiple imputation with additional covariates by uncongenial and congenial models reached different results. For the comparison between MIF and MIO, all the methodologies for handling missing values obtained different results. ^ Discussions: The study indicated that, first, missingness was crucial in this study. Second, to understand the assumptions of the model was important since we could not identify if the data were missing at random or missing not at random. Therefore, future researches should focus on exploring more sensitivity analyses under missing not at random assumption.^

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A strategy of pre-hospital reduced dose fibrinolytic administration coupled with urgent coronary intervention (PCI) for patients with STEMI (FAST-PCI) has been found to be superior to primary PCI (PPCI) alone. A coordinated STEMI system-of-care that includes FAST-PCI might offer better outcomes than pre-hospital diagnosis and STEMI team activation followed by PPCI alone. We compared the in-hospital outcomes for patients treated with the FAST-PCI approach with outcomes for patients treated with the PPCI approach during a pause in the FAST-PCI protocol. In-hospital data for 253 STEMI patients (03/2003–12/2009), treated with FAST-PCI protocol were compared to 124 patients (12/2009–08/2011), treated with PPCI strategy alone. In-hospital mortality was the primary endpoint. Stroke, major bleeding, and reinfarction during index hospitalization were secondary endpoints. Comparing the strategies used during the two time intervals, in-hospital mortality was significantly lower with FAST-PCI than with PPCI (2.77% vs. 10.48%, p = 0.0017). Rates of stroke, reinfarction and major bleeding were similar between the two groups. There was a lower frequency of pre- PCI TIMI 0 flow (no patency) seen in patients treated with FAST-PCI compared to the PPCI patients (26.7% vs. 62.7%, p<0.0001). Earlier infarct related artery patency in the FAST-PCI group had a favorable impact on the incidence of cardiogenic shock at hospital admission (FAST-PCI- 3.1% vs. PPCI- 20.9%, p<0.0001). The FAST-PCI strategy was associated with earlier infarct related artery patency and the lower incidence of cardiogenic shock on hospital arrival, as well as with reduced in-hospital mortality among STEMI patients.^

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Birth defects are the leading cause of infant mortality in the United States and are a major cause of lifetime disability. However, efforts to understand their causes have been hampered by a lack of population-specific data. During 1990–2004, 22 state legislatures responded to this need by proposing birth defects surveillance legislation (BDSL). The contrast between these states and those that did not pass BDSL provides an opportunity to better understand conditions associated with US public health policy diffusion. ^ This study identifies key state-specific determinants that predict: (1) the introduction of birth defects surveillance legislation (BDSL) onto states' formal legislative agenda, and (2) the successful adoption of these laws. Secondary aims were to interpret these findings in a theoretically sound framework and to incorporate evidence from three analytical approaches. ^ The study begins with a comparative case study of Texas and Oregon (states with divergent BDSL outcomes), including a review of historical documentation and content analysis of key informant interviews. After selecting and operationalizing explanatory variables suggested by the case study, Qualitative Comparative Analysis (QCA) was applied to publically available data to describe important patterns of variation among 37 states. Results from logistic regression were compared to determine whether the two methods produced consistent findings. ^ Themes emerging from the comparative case study included differing budgetary conditions and the significance of relationships within policy issue networks. However, the QCA and statistical analysis pointed to the importance of political parties and contrasting societal contexts. Notably, state policies that allow greater access to citizen-driven ballot initiatives were consistently associated with lower likelihood of introducing BDSL. ^ Methodologically, these results indicate that a case study approach, while important for eliciting valuable context-specific detail, may fail to detect the influence of overarching, systemic variables, such as party competition. However, QCA and statistical analyses were limited by a lack of existing data to operationalize policy issue networks, and thus may have downplayed the impact of personal interactions. ^ This study contributes to the field of health policy studies in three ways. First, it emphasizes the importance of collegial and consistent relationships among policy issue network members. Second, it calls attention to political party systems in predicting policy outcomes. Finally, a novel approach to interpreting state data in a theoretically significant manner (QCA) has been demonstrated.^

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This analysis provides an emergent framework that emphasizes a neglected component of both direct practice with families and organizational development. Human emotions, both beneficial (positive emotional labor) and harmful (negative emotional labor), have received short shrift in leadership development, supervision, direct practice preparation and supports, and workforce stabilization, and professionalization. Significantly, a key indicator of negative emotional labor—secondary traumatic stress (STS)—often has been ignored and neglected, despite the fact that it may be endemic in the workforce. STS typically results from traumatic events in practice, but it also stems from workplace violence. Often undetected and untreated, STS is at least a hidden correlate and perhaps a probable cause of myriad problems such as questionable practice with families, life-work conflicts, undesirable workforce turnover, and a sub-optimal organizational climate. Special interventions are needed. At the same time, new organizational designs are needed to promote and reinforce positive emotional labor. Arguably, positive emotional labor and the positive organizational climates it facilitates are requisites for harmonious relations between jobs and personal lives, desirable workforce retention, and better outcomes for children and families. What’s more, specialized interventions for positive emotional labor constitute a key component in the prevention system for STS. A dual design for positive emotional labor and STS (and other negative emotional labor) prevention/intervention is provided herewith. Early detection and rapid response systems for STS, with social work leadership, receive special attention. Guidelines for new organizational designs for emotional labor in child welfare are offered in conclusion.

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To identify more mutations that can affect the early development of Myxococcus xanthus, the synthetic transposon TnT41 was designed and constructed. By virtue of its special features, it can greatly facilitate the processes of mutation screening/selection, mapping, cloning and DNA sequencing. In addition, it allows for the systematic discovery of genes in regulatory hierarchies using their target promoters. In this study, the minimal regulatory region of the early developmentally regulated gene 4521 was used as a reporter in the TnT41 mutagenesis. Both positive (P) mutations and negative (N) mutations were isolated based on their effects on 4521 expression.^ Four of these mutations, i.e. N1, N2, P52 and P54 were analyzed in detail. Mutations N1 and N2 are insertion mutations in a gene designated sasB. The sasB gene is also identified in this study by genetic and molecular analysis of five UV-generated 4521 suppressor mutations. The sasB gene encodes a protein without meaningful homology in the databases. The sasB gene negatively regulates 4521 expression possibly through the SasS-SasR two component system. A wild-type sasB gene is required for normal M. xanthus fruiting body formation and sporulation.^ Cloning and sequencing analysis of the P52 mutation led to the identification of an operon that encodes the M. xanthus high-affinity branched-chain amino acid transporter system. This liv operon consists of five genes designated livK, livH, livM, livC, and livF, respectively. The Liv proteins are highly similar to their counterparts from other bacteria in both amino acid sequences, functional motifs and predicted secondary structures. This system is required for development since liv null mutations cause abnormality in fruiting body formation and a 100-fold decrease in sporulation efficiency.^ Mutation P54 is a TnT41 insertion in the sscM gene of the ssc chemotaxis system, which has been independently identified by Dr. Shi's lab. The sscM gene encodes a MCP (methyl-accepting chemotaxis protein) homologue. The SscM protein is predicted to contain two transmembrane domains, a signaling domain and at least one putative methylation site. Null mutations of this gene abolish the aggregation of starving cells at a very early stage, though the sporulation levels of the mutant can reach 10% that of wild-type cells. ^