Can a new ward environment and intensive allied health staffing model enhance therapeutic opportunities in trauma care? A behavioural mapping study of patients' activities and interactions

OBJECTIVE

The aim of this study was to assess changes in patient activities and interactions observed in response to a new trauma ward at a level 1 trauma centre, and subsequently, a new allied health staffing model.

DESIGN

Explorative case study using behavioural mapping.

SETTING

Level 1 trauma centre in Melbourne, Australia.

PARTICIPANTS

Hospitalised trauma patients.

MAIN MEASURES

Behavioural mapping of patients' activities and interactions was conducted by two observers over three 4-day observation phases: (i) at baseline, (ii) on the new ward and (iii) with the new staffing model. Changes in activities and interactions were assessed via negative binomial regression models and reported as incident rate ratios.

RESULTS

In total, 1264 patient observations were recorded over an 18-month period. After moving to the new ward, patients were observed performing activities of daily living at a 2.1-fold higher rate than at baseline (95% confidence interval: 1.18, 3.81) but walking/standing/climbing stairs 54% less (95% confidence interval: 0.22, 0.94). Subsequent to the new staffing model, patients were observed in the gym at a 4.1-fold higher rate (95% confidence interval: 1.60, 10.32) and interacting with allied health professionals at a 9.1-fold higher rate (95% confidence interval: 4.88, 16.98), than at baseline. After COVID-19 restrictions were introduced, patients were observed lying down 22% more (95% confidence interval: 1.04, 1.43), with 73% fewer visitor interactions (95% confidence interval: 0.17, 0.43).

CONCLUSIONS

Greater engagement in physical and social activities was observed following the implementation of the new allied health staffing model at a level 1 trauma centre. Whether these changes translate to improved trauma outcomes is important to investigate.

Mapping Healthcare Spaces: A Systematic Scoping Review of Spatial and Behavioral Observation Methods

OBJECTIVE

To provide a taxonomy of spatial observation methods that are commonly used in healthcare environments research and to describe their relative success.

BACKGROUND

Spatial observation is a valuable but resource intensive research method that is often used in healthcare environments research, but which frequently fails to deliver conclusive results. There is no existing catalog of the different spatial and behavioral observation methods that are used in healthcare design research and their benefits or limitations.

METHODS

The review adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. Ten key databases were searched, and articles were screened by both authors.

RESULTS

Across 67 included studies, 79 observation methods were reported. We categorized those into four, distinct methodological approaches, outlining the benefits, limitations, and suitability of each for obtaining different types of results. Common limitations included difficulty generalizing to other contexts and a lack of detailed description during data collection which led to key environment variables not being recorded. More concrete conclusions were drawn when observation methods were combined with complimentary methods such as interview.

CONCLUSIONS

The relative success of spatial observation studies is dependent on the fit of the method selected relative to the research question, approach, and healthcare setting; any complimentary methods delivered alongside it; and the analysis model employed. This article provides researchers with practical advice to guide the appropriate selection of spatial observation methods.