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Frontline nurses encounter operational failures (OFs), or breakdowns in system processes, that hinder care, erode quality, and threaten patient safety. Previous research has relied on external observers to identify OFs; nurses have been passive participants in the identification of system failures that impede their ability to deliver safe and effective care. To better understand frontline nurses' direct experiences with OFs in hospitals, we conducted a multi-site study within a national research network to describe the rate and categories of OFs detected by nurses as they provided direct patient care. Data were collected by 774 nurses working in 67 adult and pediatric medical-surgical units in 23 hospitals. Nurses systematically recorded data about OFs encountered during 10 work shifts over a 20-day period. In total, nurses reported 27,298 OFs over 4,497 shifts, a rate of 6.07 OFs per shift. The highest rate of failures occurred in the category of Equipment/Supplies, and the lowest rate occurred in the category of Physical Unit/Layout. No differences in OF rate were detected based on hospital size, teaching status, or unit type. Given the scale of this study, we conclude that OFs are frequent and varied across system processes, and that organizations may readily obtain crucial information about OFs from frontline nurses. Nurses' detection of OFs could provide organizations with rich, real-time information about system operations to improve organizational reliability. © 2017 Wiley Periodicals, Inc.

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This article describes a project to improve nursing care quality in long-term care (LTC) by retooling registered nurses' (RN) geriatric clinical competence. A continuing education course was developed to prepare LTC RNs (N = 84) for national board certification and improve technological competence. The certification pass-rate was 98.5%. The study used a mixed methods design with retrospective pretests administered to RN participants. Multivariate analysis examined the impact of RN certification on empowerment, job satisfaction, intent to turnover, and clinical competence. Results showed certification significantly improved empowerment, satisfaction, and competence. A fixed effects analysis showed intent to turnover was a function of changes in empowerment, job dissatisfaction, and competency (F = 79.2; p < 0.001). Changes in empowerment (t = 1.63, p = 0.11) and competency (t = -0.04, p = 0.97) did not affect changes in job satisfaction. Findings suggest RN certification can reduce persistently high RN turnover rates that negatively impact patient safety and LTC quality.

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This study was conducted to describe the variance in selected Nursing Outcomes Classification (NOC) outcome change scores of hospitalized older patients with pneumonia (n = 216) or heart failure (HF; n = 67) that could be explained by age, length of stay (LOS), number of comorbid conditions, number of nursing diagnoses, and number of nursing interventions. Investigators used a descriptive correlational design to analyze data sets from three U.S. community hospitals. Study participants had at least two ratings on one of nine outcomes selected for their frequency and use across the three hospitals. A significant portion of the variance in the outcomes Knowledge: Illness Care and Fall Prevention Behavior was explained for pneumonia patients. None of the regression models for HF patients showed significance. Individual independent variables were significant in some of the models (i.e., LOS [pneumonia], number of nursing diagnoses [pneumonia and HF]). Implications for research and clinical practice are discussed.

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A study was conducted by academic and community hospital partners with clinical information systems that included the standardized nursing language classifications of the North American Nursing Diagnosis Association International (NANDA-I), Nursing Interventions Classification (NIC), and Nursing Outcomes Classification (NOC). The aim of the study was to determine the frequency of NANDA-I, NIC, and NOC (NNN) terms documented for older adults with pneumonia who were discharged from three hospitals during a 1-year period. NNN terms were ranked according to frequency for each hospital, and then the rankings were compared with previous studies. Similarity was greater across hospitals in rankings of NANDA-I and NOC terms than in rankings of NIC terms. NANDA-I and NIC terms are influenced by reimbursement and regulatory factors as well as patient condition. The 10 most frequent NNN terms for each hospital accounted only for a small to moderate percentage of the terms selected.

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PURPOSE: The study aims to discuss the implications for retrieval of nursing data and building a multiorganizational data warehouse. METHODS: The method used was a descriptive comparative multisite study of documented care for 302 older adults with heart failure. Unit and patient level variables were retrieved. FINDINGS: Data regarding the most identified variables were retrievable electronically. Important linkages among nursing data elements were not present. CONCLUSIONS: Data were retrievable and the building of a data warehouse was possible and lessons were learned. IMPLICATIONS: When clinical information systems (CISs) are developed, developers and nurses must discuss how standardized data will be entered to ensure retrieval and usefulness in evaluating nursing care. For nursing effectiveness research, CISs must also provide linkages among nursing diagnoses and specific interventions, and nursing-sensitive patient outcomes.

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PURPOSE: Rank and compare the 10 most frequently documented nursing diagnoses, interventions, and patient outcomes using NANDA International, Nursing Interventions Classification, and Nursing Outcomes Classification for care of patients with heart failure (HF). METHODS: A descriptive comparative multisite study of documented care for 302 older adults with HF. FINDINGS: There were four common nursing diagnoses, two interventions, and only three common outcomes across three sites. CONCLUSIONS: This and similar analyses of clinical nursing data can be used by nursing administrators and clinicians to monitor the quality and effectiveness of nursing care. IMPLICATIONS: Similar analyses may be used for continuing education, quality improvement, and documentation system refinement. Part 2 will discuss data retrieval and implications for building a multiorganizational data warehouse.

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The purpose of this article is to describe the role of the acute care gerontological clinical nurse specialist (GCNS) and provide an exemplar of using GCNS expertise in the implementation of gerontological nursing best practices in hospitalized patients with delirium.

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