A longitudinal study of changing attitudes to work among nursing trainees in two British general hospitals

1984 ◽  
Vol 9 (3) ◽  
pp. 297-305 ◽  
Author(s):  
R. Heyman ◽  
M. P. Shaw ◽  
J. Harding
2021 ◽  
Author(s):  
Narayan Sharma ◽  
René Schwendimann ◽  
Olga Endrich ◽  
Dietmar Ausserhofer ◽  
Michael Simon

BACKGROUND Variations in hospitals’ care demand relies not only on the patient volume but also on the disease severity. Understanding both daily severity and patient volume in hospitals could help to identify hospital pressure zones to improve hospital-capacity planning and policy-making. OBJECTIVE This longitudinal study explored daily care demand dynamics in Swiss general hospitals for 3 measures: (1) capacity utilization, (2) patient turnover, and (3) patient clinical complexity level. METHODS A retrospective population-based analysis was conducted with 1 year of routine data of 1.2 million inpatients from 102 Swiss general hospitals. Capacity utilization was measured as a percentage of the daily maximum number of inpatients. Patient turnover was measured as a percentage of the daily sum of admissions and discharges per hospital. Patient clinical complexity level was measured as the average daily patient disease severity per hospital from the clinical complexity algorithm. RESULTS There was a pronounced variability of care demand in Swiss general hospitals. Among hospitals, the average daily capacity utilization ranged from 57.8% (95% CI 57.3-58.4) to 87.7% (95% CI 87.3-88.0), patient turnover ranged from 22.5% (95% CI 22.1-22.8) to 34.5% (95% CI 34.3-34.7), and the mean patient clinical complexity level ranged from 1.26 (95% CI 1.25-1.27) to 2.06 (95% CI 2.05-2.07). Moreover, both within and between hospitals, all 3 measures varied distinctly between days of the year, between days of the week, between weekdays and weekends, and between seasons. CONCLUSIONS While admissions and discharges drive capacity utilization and patient turnover variation, disease severity of each patient drives patient clinical complexity level. Monitoring—and, if possible, anticipating—daily care demand fluctuations is key to managing hospital pressure zones. This study provides a pathway for identifying patients’ daily exposure to strained hospital systems for a time-varying causal model.


1998 ◽  
Vol 39 (5) ◽  
pp. 669-685 ◽  
Author(s):  
Barbara Maughan ◽  
Stephan Collishaw ◽  
Andrew Pickles

2015 ◽  
Vol 20 (1) ◽  
pp. 22-33
Author(s):  
Angel Ball ◽  
Jean Neils-Strunjas ◽  
Kate Krival

This study is a posthumous longitudinal study of consecutive letters written by an elderly woman from age 89 to 93. Findings reveal a consistent linguistic performance during the first 3 years, supporting “normal” status for late elderly writing. She produced clearly written cursive form, intact semantic content, and minimal spelling and stroke errors. A decline in writing was observed in the last 6–9 months of the study and an analysis revealed production of clausal fragmentation, decreasing semantic clarity, and a higher frequency of spelling, semantic, and stroke errors. Analysis of writing samples can be a valuable tool in documenting a change in cognitive status differentiated from normal late aging.


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