Objective. To determine the impact of patient characteristics, clinical conditions, hospital unit characteristics, and health care interventions on hospital cost of patients with heart failure. Data Sources/Study Setting. Data for this study were part of a larger study that used electronic clinical data repositories from an 843-bed, academic medical center in the Midwest. Study Design. This retrospective, exploratory study used existing administrative and clinical data from 1,435 hospitalizations of 1,075 patients 60 years of age or older. A cost model was tested using generalized estimating equations (GEE) analysis. Data Collection/Extraction Methods. Electronic databases used in this study were the medical record abstract, the financial data repository, the pharmacy repository; and the Nursing Information System repository. Data repositories were merged at the patient level into a relational database and housed on an SQL server. Principal Findings. The model accounted for 88 percent of the variability in hospital costs for heart failure patients 60 years of age and older. The majority of variables that were associated with hospital cost were provider interventions. Each medical procedure increased cost by $623, each unique medication increased cost by $179, and the addition of each nursing intervention increased cost by $289. One medication and several nursing interventions were associated with lower cost. Nurse staffing below the average and residing on 2-4 units increased hospital cost. Conclusions. The model and data analysis techniques used here provide an innovative and useful methodology to describe and quantify significant health care processes and their impact on cost per hospitalization. The findings indicate the importance of conducting research using existing clinical data in health care.

Aim This multisite study describes the lived experience of registered nurses (RNs) caring for coronavirus (COVID‐19) patients during the pandemic in rural America. Design A qualitative phenomenological design was used. Methods From January to June 2021, using the purposeful sampling method, 19 frontline nurses were interviewed regarding their experience caring for seriously ill COVID‐19 patients in three Upper Midwest tertiary care hospitals. Three doctoral prepared nurses transcribed and analyzed verbatim interviews with data interpreted separately and conjointly. Approved qualitative methods specific to transcendental phenomenology were used. Results This phenomenological study identified four themes describing the lived experience: (1) feeling of being overwhelmed, (2) feeling of role frustration related to chaos in the care environment, (3) feeling of abandonment by leaders, families, and communities, and (4) progressing from perseverance to resilience. Implications for Practice Significant implications include ensuring frontline RNs are in communication with leaders, and are involved in tactical planning. Leaders can provide a stabilizing presence, build resilience, confidence, and security. Recommendations for additional research are provided. Conclusion Nurses in intensive care and COVID‐19 designated medical units had experiences similar to high population United States and international cities. Their shared experience included high volumes of critically ill patients in hospitals frenzied by rapid change, uncertainty, and capacity strain. Differences in the experience of rural nurses included close social connection to patients, families, and community members. This rural connectedness had both positive and negative effects.

If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.Abstract In today's competitive business environment, organizations are being challenged to improve performance by improving processes, minimizing costs, and increasing output. Such changes can only be made by looking beyond traditional management systems. Continuous improvement (CI) and total quality management (TQM) have been the focus of recent quality improvement initiatives. However, in many ways, the results have not been as dramatic as desired. Business process reengineering (BPR) focuses on innovation and creativity in redesigning processes in an effort to meet customers' needs and expectations. Experience using nonlinear systems theory in applied health care settings has revealed that nonlinear science does offer a practical new frame of reference for BPR initiatives. This article describes why radically different approaches are necessary to sustain continued quality improvement, provides the key practical insights offered by nonlinear systems theory, and provides a clinical example of multidimensional thinking as applied in an acute care setting.The current issue and full text archive of this journal is available at

Alzheimer's disease is emerging as a major health challenge for the 21st century. The reported case study discusses a 74-year-old woman with dementia of the Alzheimer type who sustained a head injury when she fell down the basement stairs. Differentiating the head injury from the preexisting dementia was complicated and required creative and astute assessment. Objective assessment tools discussed include the Mini-Mental State Examination, a delirium guide, and the Tinetti assessment tool. Predisposition to delirium is significant because of the comorbidities associated with cognitive impairment and head injury. Interventions to prevent delirium are recommended.

Acute decompensation of chronic heart failure is common and results in many patients being re-hospitalized every year (Jancin 2008). One of four voluntary core measures deployed by the Joint Commission for evaluation of quality of heart failure care in hospitals is heart failure discharge instructions, also called core measure HF1. Although the core measure is a widely disseminated standardized measure related to discharge education, there is little evidence about its impact on patient or readmission outcomes. The purpose of this study was to determine the relationship between the completion of heart failure discharge instructions as defined by the Joint Commission core measure HF1 in a single site, 500 bed tertiary hospital population in the Upper Midwest and the primary endpoint of subsequent readmission to the hospital 30, 90, 180 and 365 days following an index discharge for primary diagnosis of heart failure. Secondary endpoints included hospital readmission charges and total hospital readmission days per year. Patient characteristics, clinical characteristics, unit factors and index visit utilization variables were controlled. This study also described the relationship between nursing unit factors and completion of HF1. A retrospective, descriptive design, and analyses using primarily generalized linear models, were used to study the relationship of HF1 to utilization outcomes (readmission, hospital days and cost) and unit context (discharge unit and number of inter-unit transfers). Individual level retrospective demographic, clinical, administrative and performance improvement data were used (n = 1034). Results suggested a weak and non-significant association of completion of the core measure HF1 bundle and readmission within 30 days for all cause readmissions (p = .22; OR 1.32), and no association with HF to HF readmissions at 30 days. There was an inverse association IV.

PurposeHopelessness and rurality are each independently associated with increased mortality in adults with ischemic heart disease (IHD), yet there is no known research examining hopelessness in rural patients with IHD. The authors of this study evaluated the reliability and validity of the State-Trait Hopelessness Scale (STHS) in a primarily rural population of adults with IHD living in West North Central United States (US Great Plains).MethodsReliability, concurrent validity, and convergent validity were evaluated for 115 adults hospitalized for IHD. Rural-Urban Commuting Area codes were used to stratify participants by rurality level, with 66% categorized as rural. Principal component analysis was used to examine potential factor structure of the STHS.FindingsCronbach α for the State and Trait Hopelessness subscales were 0.884 and 0.903, respectively. Concurrent validity was supported for the State and Trait subscales using the Patient Health Questionnaire-8 (State: r = 0.50, P < .001; Trait: r = 0.35, P < .001). Convergent validity was supported for the State subscale using the Duke Activity Status Index (r = −0.23, P = .013). Principal component analysis showed 2 factors (hopelessness present and hopelessness absent) for the State and Trait subscales, accounting for 63% and 58% of variance, respectively.ConclusionsFindings support the reliability and validity of the STHS for evaluation of hopelessness in rural adults with IHD in clinical and research settings. Results replicated the same factor structure found in testing of the STHS in a primarily urban sample. Because of the prevalence of hopelessness in rural adults with IHD and association with increased mortality, hopelessness should be assessed during hospitalization and in the recovery period.

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