Evaluation Tools for Assessing Autonomy of Surgical Residents in the Operating Room and Factors Influencing Access to Autonomy: A Systematic Literature Review.

BACKGROUND: Surgical residents in France lack a clear pedagogical framework for achieving autonomy in the operating room. The progressive acquisition of surgical autonomy is a determining factor in the confidence of operators for their future independent practice. Currently, there is no autonomy scale commonly used in Europe. The objective of this study is to identify existing tools for quantifying the autonomy of residents and the factors that influence it. MATERIALS AND METHODS: We conducted a qualitative systematic review following the recommendations of the Systematic Review Without Meta-Analysis (SWiM) guidelines. Publications were extracted from the MEDLINE (PubMed), EMBASE, and PSYCINFO databases. All publications without date restrictions up to July 2022 were identified. RESULTS: Among the 231 identified publications, 21 met the inclusion criteria. Seventeen publications used a graded autonomy assessment tool by the student and/or the teacher, while 4 used evaluations by an observing third party. We found 8 different autonomy scales, with the Zwisch Scale representing 57.1% of the cases. Factors influencing autonomy were diverse, including the work context, experience, and gender of the resident and their teacher. DISCUSSION: We found heterogeneity in the tools used to "measure" the autonomy of a resident in the operating room. The SIMPL tool or the Zwisch Scale appear to be the most frequently used tools. The relationship between autonomy, performance, confidence, and knowledge may require multidimensional tools that encompass various areas of competence, but this could make their daily application more challenging. The factors influencing autonomy are numerous; and understanding them would improve teaching in the operating room. There is a significant lack of data on surgical autonomy in France, as well as a lack of evaluation in the field of gynecology-obstetrics worldwide.

The International Fitness Scale (IFIS): A valid tool to assess physical fitness in French children.

BACKGROUND: The need for monitoring regularly physical fitness in youth is well established for public health issues. The aim of this study was to assess the validity and reliability of the International Fitness Scale questionnaire (IFIS) to assess physical fitness in French children in the school context. METHODS: A sample of 2 060 children (1054 boys), aged 10.6 ± 0.9 years, participated in the validation study while an independent sample of 366 children (175 boys), aged 9 to 11 years, participated in the assessment of reliability. Physical fitness was measured by a self-report of 5 questions with a 5-point Likert-scale (from very poor to very good) (IFIS), and also measured objectively by 4 field tests: cardiorespiratory fitness, muscular strength, speed/agility and flexibility. For the test-retest reliability assessment, children were instructed to complete the questionnaire twice, 1 week apart. RESULTS: For all physical fitness components studied, children reporting a good or a very good physical fitness in the IFIS had better results in objective measurements of physical fitness tests compared to children reporting a very poor to an average physical fitness (p<0.001) without or with adjustments for sex, age and weight status. The reliability coefficients were acceptable for all components of physical fitness (0.59-0.72). CONCLUSIONS: These results suggest that IFIS appears to be a useful instrument for teachers to estimate physical fitness levels of French children, possibly on a large scale.

Consistency of muscle activation signatures across different walking speeds.

BACKGROUND: Using a machine learning algorithm, individuals can be accurately identified from their muscle activation patterns during gait, leading to the concept of individual muscle activation signatures. RESEARCH QUESTION: Are muscle activation signatures robust across different walking speeds? METHODS: We used an open dataset containing electromyographic (EMG) signals from 8 lower limb muscles in 50 asymptomatic adults walking at 5 speeds (extremely slow, very slow, slow, spontaneous, and fast). A machine learning approach classified the EMG profiles based on similar (intra-speed classification) or different (inter-speed classification) walking speeds as training and testing conditions. RESULTS: Intra-speed median classification rates of muscle activation profiles increased with walking speed, from 92 % for extremely slow, to 100 % for self-selected fast walking conditions. Inter-speed median classification rates increased when the speed of the training condition was closer to that of the testing condition. Higher median classification rates were found across slow, spontaneous, and fast walking speed conditions, from 56 % to 96 %, compared with classification rates involving extremely and very slow walking speed conditions, from 6 % to 62 %. SIGNIFICANCE: Our findings reveal that i) muscle activation signatures are detectable for a large range of walking speeds, even those involving different gait strategies (intra-speed median classification rates from 92 % to 100 %), and ii) muscle activation signatures observed during very low walking speeds are not consistent with those observed at higher speeds, suggesting a difference in motor control strategy. Caution should therefore be exercised when assessing gait deviations of a slow walking patient against a normative database obtained at higher speed. Identifying the robustness of individual muscle activation signatures across different movements could help in detecting changes in motor control, otherwise difficult to detect on classical time-varying EMG patterns.