Patient and Operational Factors Do Not Substantively Affect the Annual Departmental Quality of Anesthesiologists' Clinical Supervision and Nurse Anesthetists' Work Habits

INTRODUCTION

Although safety climate, teamwork, and other non-technical skills in operating rooms probably influence clinical outcomes, direct associations have not been shown, at least partially due to sample size considerations. We report data from a retrospective cohort of anesthesia evaluations that can simplify the design of prospective observational studies in this area. Associations between non-technical skills in anesthesia, specifically anesthesiologists' quality of clinical supervision and nurse anesthetists' work habits, and patient and operational factors were examined.

METHODS

Eight fiscal years of evaluations and surgical cases from one hospital were included. Clinical supervision by anesthesiologists was evaluated daily using a nine-item scale. Work habits of nurse anesthetists were evaluated daily using a six-item scale. The dependent variables for both groups of staff were binary, whether all items were given the maximum score or not. Associations were tested with patient and operational variables for the entire day.

RESULTS

There were 40,718 evaluations of faculty anesthesiologists by trainees, 53,772 evaluations of nurse anesthetists by anesthesiologists, and 296,449 cases that raters and ratees started together. Cohen's d values were small (≤0.10) for all independent variables, suggesting a lack of any clinically meaningful association between patient and operational factors and evaluations given the maximum scores. For supervision quality, the day's count of orthopedic cases was a significant predictor of scores (P = 0.0011). However, the resulting absolute marginal change in the percentage of supervision scores equal to the maximum was only 0.8% (99% confidence interval: 0.2% to 1.4%), i.e., too small to be of clinical or managerial importance. Neurosurgical cases may have been a significant predictor of work habits (P = 0.0054). However, the resulting marginal change in the percentage of work habits scores equal to the maximum, an increase of 0.8% (99% confidence interval: 0.1% to 1.6%), which was again too small to be important.

CONCLUSIONS

When evaluating the effect of assigning anesthesiologists and nurse anesthetists with different clinical performance quality on clinical outcomes, supervision quality and work habits scores may be included as independent variables without concern that their effects are confounded by association with the patient or case characteristics. Clinical supervision and work habits are measures of non-technical skills. Hence, these findings suggest that non-technical performance can be judged by observing the typical small sample size of cases. Then, associations can be tested with administrative data for a far greater number of patients because there is unlikely to be a confounding association between patient and case characteristics and the clinicians' non-technical performance.

A systematic review critically appraising quantitative survey measures assessing power dynamics among multidisciplinary teams in acute care settings

By valuing the knowledge of each discipline holistic patient-centered care can be achieved as decisions arise from expertise rather than established hierarchies. While healthcare has historically operated as a hierarchical power structure (i.e., some voices have more influence), these dynamics are rarely discussed. This review addresses this issue by appraising extant quantitative measures that assess multidisciplinary team (MDT) power dynamics. By identifying psychometrically sound measures, change agents can uncover the collective thought processes informing power structures in practice and develop strategies to mitigate power disparities. Several databases were searched. English language articles were included if they reported on quantitative measures assessing power dynamics among MDTs in acute/hospital settings. Results were synthesized using a narrative approach. In total, 6,202 search records were obtained of which 62 met the eligibility criteria. The review reveals some promising measures to assess power dynamics (e.g., Interprofessional Collaboration Scale). However, the findings also confirm several gaps in the current evidence base: 1) need for further psychometric and pragmatic testing of measures; 2) inclusion of more representative MDT samples; 3) further evaluation of unmatured power dimensions. Addressing these gaps will support the development of future interventions aimed at mitigating power imbalances and ultimately improve collaborative working within MDTs.

Teamwork and safety climate in Polish long-term care facilities: questionnaire reliability and usability

The Teamwork and Safety Climate Survey (TSCS) is one of the questionnaires used to measure patient safety. The questionnaire includes two scales: teamwork climate and safety climate. The objective of the study is the linguistic and cultural adaptation of the TSCS to Polish conditions and checking the reliability and usability of the tool in long-term care facilities. Firstly, the TSCS was translated into Polish. Then, a cross-sectional survey was conducted among the medical and auxiliary personnel of long-term care facilities all over Poland. The psychometric properties of the questionnaire were analysed (including Cronbach's alpha coefficient). Correlations between the areas of the questionnaire and individual variables relating to facility parameters were also calculated. Respondents (n = 558) working in 26 different long-term care facilities participated in the study. The analysis has provided four scales instead of two of the original version of the questionnaire (teamwork climate, safety climate, ability to speak up and following the rules, work organisation). Correlation analysis revealed a number of significant correlations between the scales and individual variables corresponding to the parameters of long-term care facilities and respondents themselves. In conclusion, the Polish version of the TSCS may be a useful tool to measure aspects related to patient safety culture in long-term care facilities.