scholarly journals Perception of Caring Among Patients and Nurses

2018 ◽  
Vol 6 (3) ◽  
pp. 194-200 ◽  
Author(s):  
Diane Thomas ◽  
Patricia Newcomb ◽  
Phylann Fusco
Keyword(s):  
Patient Experience ◽  
Acute Care Hospital ◽  
Patient Perception ◽  
Care Hospital ◽  
Caring Behaviors ◽  
Financial Outcomes ◽  
Nurse Caring ◽  
Changes Over Time ◽  
Over Time

Background: Empirical evidence supports the contention that implementing caring nurse behaviors results in improved patient experience; however, previous studies find differences between patient and nurse perceptions of caring. Significance: Good patient experience is positively related to desired clinical and financial outcomes. Nurse caring is a critical component in the patient experience. Objective: The purposes of this project were to evaluate the congruency between nurse and patient perceptions of nurse caring in a long-term acute care hospital and to determine how much patient perception of nurse caring changes over time. Method: The study employed mixed methods using a triangulation strategy in which quantitative data from patients and qualitative data from nurses were collected simultaneously and compared for interpretation. Results: Time affected patient perception of caring significantly. Patients and nurses disagreed about the extent to which nurses ask patients what they know about their illnesses, help them deal with bad feelings, and make them feel comfortable. Conclusion: Patients and nurses do not always agree about the quality of caring behaviors, but exposure to nurses over time positively affects patient perception of nurse caring.

UK Fiscal Squeezes over a Century

2017 ◽  
Author(s):  
Christopher Hood ◽  
Rozana Himaz
Keyword(s):  
Data Sources ◽  
Fiscal Consolidation ◽  
Financial Outcomes ◽  
Financial Conditions ◽  
Deficit Reduction ◽  
Before And After ◽  
The Uk ◽  
Changes Over Time ◽  
Spending Cuts ◽  
Over Time

This chapter draws on historical statistics reporting financial outcomes for spending, taxation, debt, and deficit for the UK over a century to (a) identify quantitatively and compare the main fiscal squeeze episodes (i.e. major revenue increases, spending cuts, or both) in terms of type (soft squeezes and hard squeezes, spending squeezes, and revenue squeezes), depth, and length; (b) compare these periods of austerity against measures of fiscal consolidation in terms of deficit reduction; and (c) identify economic and financial conditions before and after the various squeezes. It explores the extent to which the identification of squeeze episodes and their classification is sensitive to which thresholds are set and what data sources are used. The chapter identifies major changes over time that emerge from this analysis over the changing depth and types of squeeze.

scholarly journals Investigation of a Group A Streptococcal Outbreak Among Residents of a Long-term Acute Care Hospital

2011 ◽  
Vol 52 (8) ◽  
pp. 988-994 ◽  
Author(s):  
M. Deutscher ◽  
S. Schillie ◽  
C. Gould ◽  
J. Baumbach ◽  
M. Mueller ◽  
...  
Keyword(s):  
Acute Care ◽  
Acute Care Hospital ◽  
Care Hospital ◽  
Group A

Chronic Comorbid Illnesses Predict the Clinical Course of 866 Patients Requiring Prolonged Mechanical Ventilation in a Long-Term, Acute-Care Hospital

2018 ◽  
Vol 35 (8) ◽  
pp. 745-754 ◽  
Author(s):  
J. Dermot Frengley ◽  
Giorgio R. Sansone ◽  
Robert J. Kaner
Keyword(s):  
Mechanical Ventilation ◽  
Acute Care ◽  
Clinical Course ◽  
Prolonged Mechanical Ventilation ◽  
Acute Care Hospital ◽  
Care Hospital ◽  
Term Survival ◽  
Group A ◽  
Chronically Critically Ill

Objective: To determine whether burdens of chronic comorbid illnesses can predict the clinical course of prolonged mechanical ventilation (PMV)patients in a long-term, acute-care hospital (LTACH). Methods: Retrospective study of 866 consecutive PMV patients whose burdens of chronic comorbid illnesses were quantified using the Cumulative Illness Rating Scale (CIRS). Based on increasing CIRS scores, 6 groups were formed and compared: group A (≤25; n = 97), group B (26-28; n = 105), group C (29-31; n = 181), group D (32-34; n = 208), group E (35-37; n = 173), and group F (>37; n = 102). Results: As CIRS scores increased from group A to group F, rates of weaning success, home discharges, and LTACH survival declined progressively from 74% to 17%, 48% to 0%, and 79% to 21%, respectively (all P < .001). Negative correlations between the mean score of each CIRS group and correspondent outcomes also supported patients’ group allocation and an accurate prediction of their clinical course (all P < .01). Long-term survival progressively declined from a median survival time of 38.9 months in group A to 3.2 months in group F ( P < .001). Compared to group A, risk of death was 75% greater in group F ( P = .03). Noteworthy, PMV patients with CIRS score <25 showed greater ability to recover and a low likelihood of becoming chronically critically ill. Diagnostic accuracy of CIRS to predict likelihood of weaning success, home discharges, both LTACH and long-term survival was good (area under the curves ≥0.71; all P <.001). Conclusions: The burden of chronic comorbid illnesses was a strong prognostic indicator of the clinical course of PMV patients. Patients with lower CIRS values showed greater ability to recover and were less likely to become chronically critically ill. Thus, CIRS can be used to help guide clinicians caring for PMV patients in transfer decisions to and from postacute care setting.

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