Real-time fatigue reduction in emergency care clinicians: The SleepTrackTXT randomized trial.

BACKGROUND: We assessed performance characteristics and impact of a mobile phone text-message intervention for reducing intra-shift fatigue among emergency clinician shift workers. METHODS: We used a randomized controlled trial of 100 participants. All participants received text-message assessments at the start, every 4 hr during, and at end of scheduled shifts over a 90-day period. Text-message queries measured self-rated sleepiness, fatigue, and difficulty with concentration. Additional text-messages were sent to intervention participants to promote alertness. A performance measure of interest was compliance with answering text-messages. RESULTS: Ninety-nine participants documented 2,621 shifts and responded to 36,073 of 40,947 text-messages (88% compliance rate). Intervention participants reported lower mean fatigue and sleepiness at 4 hr, 8 hr, and at the end of 12 hr shifts compared to controls (P < 0.05). Intervention participants reported better sleep quality at 90-days compared to baseline (P = 0.01). CONCLUSIONS: We showed feasibility and short-term efficacy of a text-message based assessment and intervention tool.

Emergency healthcare worker sleep, fatigue, and alertness behavior survey (SFAB): development and content validation of a survey tool.

BACKGROUND: Workplace safety is a recognized concern in emergency medical services (EMS). Ambulance crashes are common and injury rates exceed that of the general working public. Fatigue and sleepiness during shift work pose a safety risk for patients and EMS workers. Changing EMS worker behaviors and improving alertness during shift work is hampered by a lack of instruments that reliably and accurately measure multidimensional beliefs and habits that predict alertness behavior. OBJECTIVES: We sought to test the reliability and validity of a survey tool (the sleep, fatigue, and alertness behavior survey [SFAB]) designed to identify the cognitions of EMS workers concerning sleep, fatigue, and alertness behaviors during shift work. METHODS: We operationalized the integrative model of behavioral prediction (IMBP) and developed a pool of 97 candidate items and sub-items to measure eight domains of the IMBP. Five sleep scientists judged the content validity of each item and a convenience sample of EMS workers completed a paper-based version of the SFAB. We retained items judged content valid by five sleep scientists and performed exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and tests of reliability and internal consistency. We identified a simple factor structure for each scale and calculated means and standard deviations for each item and scale. RESULTS: We received 360 completed SFAB surveys from a convenience sample of 800 EMS workers attending two regional continuing education conferences (45% participation rate). Forty-seven candidate items and sub-items/options were removed following content validation, EFA, and CFA testing. Analyses revealed a simple factor structure for seven of eight domains and a final pool of 50 items and sub-items/options. Domains include: attitudes, normative beliefs, knowledge, salience, habits, environmental constraints, and intent. EFA tests of self-efficacy items failed to identify a simple factor structure. We retained two self-efficacy items based on Spearman-Brown correlation of 0.23 (p<0.0001). CONCLUSIONS: Measurement of sleep, fatigue, and alertness behavior among EMS workers is challenging. We describe the development and psychometric testing of a survey tool that may be useful in a variety of applications addressing sleep, fatigue, and alertness behavior among EMS workers.