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Updated: Feb 12, 2026

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Modeling Missed Care: Implications for Evidence-Based Practice.

Ian Blackman¹, Che Yee Lye², I Gusti Ngurah Darmawan³

¹Adjunct Lecturer, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia.

Worldviews on Evidence-Based Nursing

|March 24, 2018

Summary

This summary is machine-generated.

Missed nursing care is common in Australia, influenced by staffing levels and work settings. Addressing these factors is crucial for improving patient care quality and safety.

Keywords:

missed care predictor variables shift times skill mix staff patient ratios

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Area of Science:

Nursing Research
Healthcare Management
Patient Safety

Background:

Missed nursing care is a global issue exacerbated by resource limitations and work intensification.
Previous studies on missed care were often regional; this study examines the Australian context.
Understanding missed care is vital for improving healthcare delivery.

Purpose of the Study:

To investigate the self-reported reasons for missed nursing care.
To identify key predictors of missed care among Australian nurses and midwives.
To provide insights into the Australian healthcare system's challenges regarding care delivery.

Main Methods:

A descriptive, nonexperimental design was employed using the MISSCARE survey.
Data from 1,195 nursing and midwifery staff across various Australian states and settings were analyzed.
Rasch analysis and Structural Equation Modeling were utilized for comprehensive data interpretation.

Main Results:

Missed care in the morning shift correlated with higher-priority care missed later in the day.
Inadequate staffing numbers and skill mix imbalances significantly worsened care during afternoon shifts.
Clinical work settings and staff-to-patient ratios were identified as major contributors to missed care.

Conclusions:

Missed nursing care is a complex issue with predictable contributing factors.
Addressing staffing, skill mix, and work environments is essential for reducing missed care.
Simultaneously considering these factors can help predict and mitigate missed care incidents.