External influencing factors on missed care in Austrian hospitals: Testing the theoretical antecedents of missed care using structural equation modelling

Author:

Cartaxo Ana123ORCID,Dabney Beverly W.4ORCID,Mayer Hanna1ORCID,Eberl Inge5ORCID,Gonçalves Luzia67ORCID

Affiliation:

1. Department of General Health Studies, Division Nursing Science with focus on Person‐Centred Care Research, Karl Landsteiner University of Health Sciences Krems an der Donau Austria

2. Austrian Academy of Sciences, Doctoral Fellowship Programme Vienna Austria

3. Vienna Doctoral School of Social Sciences, University of Vienna Vienna Austria

4. School of Nursing, University of Michigan‐Flint Flint Michigan USA

5. Faculty of Social Work, Catholic University of Eichstätt‐Ingolstadt Eichstätt Germany

6. Global Health and Tropical Medicine, Portuguese Institute of Hygiene and Tropical Medicine, NOVA University Lisbon Lisbon Portugal

7. Department of Statistics and Operations Research, Faculty of Sciences, Centre of Statistics and its Applications, University of Lisbon Lisbon Portugal

Abstract

AbstractProblemMissed Nursing Care (MNC) is an error of omission which occurs when a necessary nursing intervention is not initiated, is not completed, or when it is delayed. The MNC model explains this problem and describes four antecedents that can lead to MNC: (1) demand for patient care, (2) available human resources, (3) material resources, and (4) and relationship and communication factors.AimsThis study aims to test the relationship between the theoretical antecedents of MNC and their impact on MNC.DesignA quantitative cross‐sectional study.MethodsThe Austrian version of the revised MISSCARE Survey was completed by nurses working in general hospital units between May and July 2021. Recruitment followed a respondent‐driven sample via Austrian nursing education institutions and social media. One thousand six nurses fulfilled inclusion criteria. The structure of the theoretical constructs of the MNC model was tested using a confirmatory factor analysis approach. The relationships between the four antecedents and MNC were explored using structural equation modelling with 427 complete cases.ResultsThe results support the structural validity of the revised MISSCARE Austria concerning the defined theoretical constructs, although discriminant validity and measurement error should be further investigated. The antecedent “resource allocation: labor” had a statistically significant impact on MNC: The lack of adequate nursing staff played the most important role to explain missed care in our model.ConclusionIn our study in Austria, MNC was mostly influenced by a lack of appropriate labor resources. Further studies exploring mediation effects and non‐linear relationships may contribute to better understanding of reasons for MNC.Patient or Public ContributionNo patient or public contribution.

Funder

Österreichischen Akademie der Wissenschaften

Publisher

Wiley

Subject

General Nursing

Reference48 articles.

1. Assessing the Validity and Reliability of a Measurement Model in Structural Equation Modeling (SEM)

2. Missed nursing care and complexity theory: a conceptual paper

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4. Ball J. &Griffiths P.(2018).Missed nursing care: A key measure for patient safety.https://psnet.ahrq.gov/perspective/missed‐nursing‐care‐key‐measure‐patient‐safety#References

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