Computers, informatics, nursing : CIN
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This pilot study examined the initial effects and estimated effect size of a computer-based simulation education program on certified nursing assistants' level of assistance when dressing nursing home residents with dementia and on residents' dressing performance. Nine dyads, assigned to either the experimental or control group, completed the study. Both groups received a traditional 1-hour education module delivered by a research assistant. ⋯ A lack of effort by some assistants to properly assist residents and low statistical power may explain the lack of significance. The effect sizes of the experimental intervention on appropriate levels of dressing assistance and resident dressing performance were 0.69 and 0.89, respectively. Incorporating a strategy to improve motivation should be considered in future studies.
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In this article, we examine the unintended consequences of nurses' use of electronic health records. We define these as unforeseen events, change in workflow, or an unanticipated result of implementation and use of electronic health records. Unintended consequences experienced by nurses while using electronic health records have been well researched. ⋯ Teamwork was moderately related to higher unintended consequences including patient safety risks (r = 0.427, P = .007), system design (r = 0.419, P = .009), and technology barriers (r = 0.431, P = .007). Communication about patients was reduced when patient safety risks were high (r = -0.437, P = .003). By determining the frequency with which neonatal nurses experience unintended consequences of electronic health record use, future research can be targeted to improve electronic health record design through customization, integration, and refinement to support patient safety and better outcomes.
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Information technology use in healthcare delivery mandates a prepared workforce. The initial Health Information Technology Competencies tool resulted from a 2-year transatlantic effort by experts from the US and European Union to identify approaches to develop skills and knowledge needed by healthcare workers. It was determined that competencies must be identified before strategies are established, resulting in a searchable database of more than 1000 competencies representing five domains, five skill levels, and more than 250 roles. ⋯ This is not surprising, given that Health Information Technology Competencies includes all healthcare workers, while the TIGER-based Assessment of Nursing Informatics Competencies and Nursing Informatics Competency Assessment of Level 3 and Level 4 tools and the American Nurses Association Nursing Informatics: Scope and Standards of Practice are nurse specific. No clear cross mapping across these tools and the standards of nursing informatics practice exists. Further examination and review are needed to translate Health Information Technology Competencies as a viable tool for nursing informatics use in the US.
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The objective of this study was to examine the relationship between nursing excellence and electronic health record adoption. Of 6582 US hospitals, 4939 were eligible for the Medicare Electronic Health Record Incentive Program, and 6419 were eligible for evaluation on the HIMSS Analytics Electronic Medical Record Adoption Model. Of 399 Magnet hospitals, 330 were eligible for the Medicare Electronic Health Record Incentive Program, and 393 were eligible for evaluation in the HIMSS Analytics Electronic Medical Record Adoption Model. ⋯ Logistic regression showed that Magnet-designated hospitals were more likely attest to Meaningful Use than non-Magnet hospitals (odds ratio = 3.58, P < .001) and were more likely to adopt electronic health records than non-Magnet hospitals (Level 6 only: odds ratio = 3.68, P < .001; Level 6 or 7: odds ratio = 4.02, P < .001). This study suggested a positive relationship between Magnet status and electronic health record use, which involves earning financial incentives for successful adoption. Continued investigation is needed to examine the relationships between the quality of nursing care, electronic health record usage, financial implications, and patient outcomes.
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Health information technology dashboards that integrate evidence-based quality indicators can efficiently and accurately display patient risk information to promote early intervention and improve overall quality of patient care. We describe the process of developing, evaluating, and implementing a dashboard designed to promote quality care through display of evidence-based quality indicators within an electronic health record. Clinician feedback was sought throughout the process. ⋯ Use of the dashboard led to reduced task completion times and error rates in comparison to the conventional electronic health record for quality indicator-related tasks. Clinician responses to the dashboard display capabilities were positive, and a multifaceted implementation plan has been used. Results suggest application of the dashboard in the care environment may lead to improved patient care.