Ontology highlight
ABSTRACT: Aims
To identify and describe profiles of nursing resources and compare nurse and patient outcomes among the identified nursing resource profiles.Background
Research linking nurse education, staffing, and the work environment treats these nursing resources as separate variables. Individual hospitals exhibit distinct profiles of these resources.Methods
This cross-sectional secondary analysis used 2006 data from 692 hospitals in four states. Latent class mixture modelling was used to identify resource profiles. Regression models estimated the associations among the profiles and outcomes.Results
Three profiles were identified (better, mixed and poor) according to their nursing resource levels. Hospitals with poor profiles were disproportionately mid-sized, for-profit, and had lower technology capability. Nurse job outcomes, patient mortality and care experiences were significantly improved in hospitals with better resource profiles.Conclusions
Hospitals exhibit distinct profiles of nursing resources that reflect investments into nursing. Nurse and patient outcomes and patients' experiences are improved in hospitals with better nursing resource profiles. This finding is consistent with the literature that has examined these resources independently.Implications for nursing management
Nurse managers can identify their nursing resource profile and the associated outcomes. Our results show the advantages of improving one's hospital nursing resource profile, motivating managers to make an informed decision regarding investments in nursing resources.
SUBMITTER: Lake ET
PROVIDER: S-EPMC8989670 | biostudies-literature | 2022 Apr
REPOSITORIES: biostudies-literature
Lake Eileen T ET Riman Kathryn A KA Lee Christopher S CS
Journal of nursing management 20220217 3
<h4>Aims</h4>To identify and describe profiles of nursing resources and compare nurse and patient outcomes among the identified nursing resource profiles.<h4>Background</h4>Research linking nurse education, staffing, and the work environment treats these nursing resources as separate variables. Individual hospitals exhibit distinct profiles of these resources.<h4>Methods</h4>This cross-sectional secondary analysis used 2006 data from 692 hospitals in four states. Latent class mixture modelling w ...[more]