Testing the Quality Health Outcomes Model Applied to Infection Prevention in Hospitals.
Testing the Quality Health Outcomes Model Applied to Infection Prevention in Hospitals.
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DOI：
10.1097/qmh.0000000000000102
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发表时间：
2016-07
影响因子：
1.2
通讯作者：
Sousa KH
中科院分区：
文献类型：
--
作者：
Gilmartin HM;Sousa KH
目的：为了检验质量健康结果模型，以探讨卫生保健相关感染（HAI）预防干预措施，组织背景，和HAI的结果之间的关系，使用结构方程modeling.Methods：变量坚持中央线束，组织背景，和中央线相关的血流感染（CLABSI）被选为从614家美国医院，参加了预防医院感染和成本效益-精炼研究的二次数据分析。结果：最终模型与数据拟合良好（χ 2（1215）= 1906.86，P<0.01），与文献值吻合较好（χ 2（1215）= 1906.86，P<0.01）。00;比较拟合指数= 0.94;近似误差的均方根= 0.04）。中心静脉集束化治疗的依从性与组织环境有显著相关性（β= 0.23，P<0.01）。而上下文和CLABSI之间的关系并不显著（β=-0.20，P=. 78）.结论：这项研究支持更大程度地坚持人力资源干预措施和更高水平的组织背景之间的关系，并强调了测量组织背景的复杂性。鉴于预防HAI的重要性，需要进行持续的研究，以揭示影响干预措施和结果的确切方面。
Objective:To test the Quality Health Outcomes Model to investigate the relationship between health care-associated infection (HAI) prevention interventions, organizational context, and HAI outcomes using structural equation modeling.Methods:Variables for adherence to the central line bundle, organizational context, and central line-associated bloodstream infections (CLABSIs) were selected for this secondary data analysis from 614 US hospitals that participated in the Prevention of Nosocomial Infection and Cost-effectiveness-Refined study. One half of the dataset was used for exploration of the concepts, the second half for confirmation of the measurement models and testing of the structural model.Results:The final model resulted in a good fit to the data (χ 2 (1215)= 1906.86, P<. 00; comparative fit index= 0.94; root mean square of error of approximation= 0.04). A significant relationship was noted between adherence to the central line bundle interventions and organizational context (β= 0.23, P<. 01), whereas the relationship between context and CLABSIs was not significant (β=− 0.20, P=. 78).Conclusions:This study supports a relationship between greater adherence to HAI interventions and higher levels of organizational context and highlights the complexity of measuring organizational context. Given the importance of preventing HAIs, ongoing research is needed to reveal the exact aspects of context that influence interventions and outcomes.