Abstract
Aims and Objectives
To evaluate measurement invariance of the Individualized Care Scale (ICS) across patients and nurses, and assess the degree of congruence in nurses' and patients' perceptions on patient‐centredness and the impact of an intervention there on.
Methods
A pre‐post intervention study design with an expert by experience intervention was conducted in 2016 to 2017. Nurses (n = 138) and patients (n = 199) of two hospital departments in Belgium were surveyed. Patient‐centredness was measured using the ICS (ICS‐Nurse and ICS‐Patient). Measurement invariance was evaluated by conducting multiple‐group confirmatory factor analysis. Unpaired t tests and difference in difference analysis were used to evaluate the degree of congruence in nurses' and patients' perceptions on patient‐centredness and assess pre‐post changes in nurses' and patients' scores, respectively. SQUIRE guidelines were followed to report the study.
Results
There was no evidence of measurement non‐invariance. Nurses perceived the individuality of care more positively than patients both before and after the implementation of the intervention. Pre‐post changes in nurses' and patients' scores were not statistically significant.
Conclusion
There is a significant gap between the perceptions of nurses and patients regarding the support and provision of individual care: nurses consider provided care as more individualized than patients do. To orient nurses' perspectives more towards their patients' perspective, multicomponent interventions are needed. Researchers and hospital managers may use the ICS to evaluate interventions that have the ability to close the gap in nurses' and patients' perceptions of patient‐centredness. Embedding experts by experience in the professionals' team has the potential to foster patient‐centredness but needs to focus on patients and nurses equally.
To evaluate measurement invariance of the Individualized Care Scale (ICS) across patients and nurses, and assess the degree of congruence in nurses' and patients' perceptions on patient‐centredness and the impact of an intervention there on.
Methods
A pre‐post intervention study design with an expert by experience intervention was conducted in 2016 to 2017. Nurses (n = 138) and patients (n = 199) of two hospital departments in Belgium were surveyed. Patient‐centredness was measured using the ICS (ICS‐Nurse and ICS‐Patient). Measurement invariance was evaluated by conducting multiple‐group confirmatory factor analysis. Unpaired t tests and difference in difference analysis were used to evaluate the degree of congruence in nurses' and patients' perceptions on patient‐centredness and assess pre‐post changes in nurses' and patients' scores, respectively. SQUIRE guidelines were followed to report the study.
Results
There was no evidence of measurement non‐invariance. Nurses perceived the individuality of care more positively than patients both before and after the implementation of the intervention. Pre‐post changes in nurses' and patients' scores were not statistically significant.
Conclusion
There is a significant gap between the perceptions of nurses and patients regarding the support and provision of individual care: nurses consider provided care as more individualized than patients do. To orient nurses' perspectives more towards their patients' perspective, multicomponent interventions are needed. Researchers and hospital managers may use the ICS to evaluate interventions that have the ability to close the gap in nurses' and patients' perceptions of patient‐centredness. Embedding experts by experience in the professionals' team has the potential to foster patient‐centredness but needs to focus on patients and nurses equally.
Original language | English |
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Pages (from-to) | 1648-1656 |
Journal | Journal of Evaluation in Clinical Practice |
Volume | 26 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2020 |
Keywords
- INDIVIDUALIZED CARE
- MEASUREMENT INVARIANCE
- experts by experience
- measurement invariance
- nursing
- patient-centredness
- pre-post intervention research
- statistics