Satisfaction with nursing care and the level of illness acceptance in surgical and non-surgical wards – a single-center study

Aim. to assess the correlation between patient satisfaction with nursing care in surgical and non-surgical departments in a university hospital and the level of illness acceptance. Material and methods. We conducted the study using a diagnostic survey method with standardized questionnaires: the Newcastle satisfaction with nursing scales (NSNS) and the Acceptance of Illness Scale (AIS). We invited patients from three departments of the university hospital, hospitalized for at least 2 nights, to participate in the study. Out of 210 questionnaires provided, 121 (57.6%) were returned correctly completed. We performed statistical analysis using the IBM SPSS. We considered p≤0.05 values to be significant. Results. The average AIS score was 24.2 points. The average Nursing care experiences score was 64.5, comparable in all groups. The average satisfaction score was 72.7. A statistically significant difference occurred between two departments – laryngology and neurology. Both aspects of the NSNS scale significantly positively correlated with level of disease acceptance (r=0.83, p<0.001, r=0.74; p<0.001). Conclusions. Patient satisfaction depends on many individual factors, above all on the patient’s personal experiences and the level of illness acceptance. AIS was the strongest predictor of experiences and satisfaction, regardless of the department, hospitalization time, age, gender and education of the respondents.

Authors

Institutions

Publication Details

Journal
Pielegniarstwo XXI wieku / Nursing in the 21st Century
Published
2025-03-20
DOI
https://doi.org/10.12923/pielxxiw-2025-0005
Primary Topic
Patient Satisfaction in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Satisfaction with nursing care and the level of illness acceptance in surgical and non-surgical wards – a single-center study

Justyna Cwajda‐Białasik, Mirella Natalia Twaróg
Pielegniarstwo XXI wieku / Nursing in the 21st Century
Patient Satisfaction in Healthcare
article

Satisfaction with nursing care and the level of illness acceptance in surgical and non-surgical wards – a single-center study

Justyna Cwajda‐Białasik, Mirella Natalia Twaróg
article en

Abstract

Aim. to assess the correlation between patient satisfaction with nursing care in surgical and non-surgical departments in a university hospital and the level of illness acceptance. Material and methods. We conducted the study using a diagnostic survey method with standardized questionnaires: the Newcastle satisfaction with nursing scales (NSNS) and the Acceptance of Illness Scale (AIS). We invited patients from three departments of the university hospital, hospitalized for at least 2 nights, to participate in the study. Out of 210 questionnaires provided, 121 (57.6%) were returned correctly completed. We performed statistical analysis using the IBM SPSS. We considered p≤0.05 values to be significant. Results. The average AIS score was 24.2 points. The average Nursing care experiences score was 64.5, comparable in all groups. The average satisfaction score was 72.7. A statistically significant difference occurred between two departments – laryngology and neurology. Both aspects of the NSNS scale significantly positively correlated with level of disease acceptance (r=0.83, p<0.001, r=0.74; p<0.001). Conclusions. Patient satisfaction depends on many individual factors, above all on the patient’s personal experiences and the level of illness acceptance. AIS was the strongest predictor of experiences and satisfaction, regardless of the department, hospitalization time, age, gender and education of the respondents.

Pielegniarstwo XXI wieku / Nursing in the 21st CenturyVol. 24(1)
Nicolaus Copernicus University (PL), Collegium Medicum in Bydgoszcz (PL)
Openalex Percentile: Top 89%
Patient Satisfaction in Healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.