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Working conditions, missed care and patient experience in home care nursing in Italy: An observational study.
- Source :
- Public Health Nursing; Jul2024, Vol. 41 Issue 4, p709-722, 14p
- Publication Year :
- 2024
-
Abstract
- Introduction: The aging of the population requires an appropriate knowledge of the type of care that needs to be provided to inform healthcare policies. In Italy, neither home care nursing, nor the patient experiences have ever been described. Objectives: To describe the characteristics of nurses and care recipients involved in home care. Methods: A descriptive cross‐sectional study conducted in 18 Italian Regions. Between April and October 2023, data from nurses and patients involved in home care were collected through two surveys. Psychosocial conditions in workplaces, missed care, and care experiences were assessed using validated tools. Descriptive statistics and Pearson's correlations were performed. Results: A total of 46 local healthcare units were included in this study, with a total of 2549 nurses and 4709 care recipients. Nurses (mean age 46.60; 79.48% female; 44.68% regional nursing diploma as the highest qualification) reported good working conditions (42.37; SD = 12.25; range = 0–100) and a high mean number of missed care activities (5.11; SD = 3.19; range 0–9). Most nurses (83.41%) reported high levels of job satisfaction, while 20.28% intended to leave their job. Patients (mean age 75.18; 57.57% female; 36.95% primary school), on the other hand, rated positively the care they had received (8.23; range = 0–10). Conclusions: Despite the perception of critical issues at work and some missed care, satisfaction in nurses and patients was high. These data constitute a preliminary snapshot of the studied phenomena, which will be investigated through more in‐depth analyses. [ABSTRACT FROM AUTHOR]
- Subjects :
- HOME nursing
NURSES
CROSS-sectional method
PEARSON correlation (Statistics)
SCALE analysis (Psychology)
NURSE-patient relationships
MEDICAL errors
OCCUPATIONAL roles
HEALTH status indicators
MEDICAL quality control
WORK environment
SCIENTIFIC observation
STATISTICAL sampling
QUESTIONNAIRES
DESCRIPTIVE statistics
SURVEYS
JOB satisfaction
CAREGIVERS
NURSES' attitudes
RESEARCH
PATIENT satisfaction
DATA analysis software
PATIENTS' attitudes
EMPLOYEES' workload
REGRESSION analysis
Subjects
Details
- Language :
- English
- ISSN :
- 07371209
- Volume :
- 41
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Public Health Nursing
- Publication Type :
- Academic Journal
- Accession number :
- 178333448
- Full Text :
- https://doi.org/10.1111/phn.13320