Mobile phone text messaging intervention to improve alertness and reduce sleepiness and fatigue during shiftwork among emergency medicine clinicians: study protocol for the SleepTrackTXT pilot randomized controlled trial

The Emergency Medical Services Sleep Health Study: A cluster-randomized trial

BACKGROUND

Greater than half of emergency medical services (EMS) clinician shift workers report poor sleep, fatigue, and inadequate recovery between shifts. We hypothesized that EMS clinicians randomized to receive tailored sleep health education would have improved sleep quality and less fatigue compared to wait-list controls after 3 months.

METHODS

We used a cluster-randomized, 2-arm, wait-list control study design (clinicaltrials.gov identifier: NCT04218279). Recruitment of EMS agencies (clusters) was nationwide. Our study was powered at 88% to detect a 0.4 standard deviation difference in sleep quality with 20 agencies per arm and a minimum of 10 individuals per agency. The primary outcome was measured using the Pittsburgh Sleep Quality Index (PSQI) at 3-month follow-up. Our intervention was accessible in an online, asynchronous format and comprised of 10 brief education modules that address fatigue mitigation topics prescribed by the American College of Occupational Environmental Medicine.

RESULTS

In total, 36 EMS agencies and 678 individuals enrolled. Attrition at 3 months did not differ by study group (Intervention = 17.4% vs. Wait-list control = 18.2%; p = .37). Intention-to-treat analyses detected no differences in PSQI and fatigue scores at 3 months. Per protocol analyses showed the greater the number of education modules viewed, the greater the improvement in sleep quality and the greater the reduction in fatigue (p < .05).

CONCLUSIONS

While intention-to-treat analyses revealed no differences in sleep quality or fatigue at 3 months, per protocol findings identified select groups of EMS clinician shift workers who may benefit from sleep health education. Our findings may inform fatigue risk management programs.

Fatigue mitigation with SleepTrackTXT2 in air medical emergency care systems: study protocol for a randomized controlled trial

Background

Most air medical Emergency Medical Services (EMS) clinicians work extended duration shifts, and more than 50% report inadequate sleep, poor sleep quality, and/or poor recovery between shifts. The SleepTrackTXT pilot trial (ClinicalTrials.gov, NCT02063737) showed that use of mobile phone text messages could impact EMS clinician self-reported fatigue and sleepiness during long duration shifts. The purpose of the SleepTrackTXT2 trial is to leverage lessons learned from the first SleepTrackTXT study and test an enhanced intervention targeting air medical EMS clinicians.

Methods/design

We will conduct a multi-site randomized trial with a sample of adult EMS clinicians recruited from four air medical EMS systems located in the midwest, northeastern, and southern USA. Participants will be allocated to one of two possible arms for a 4-month (120-day) study period. The intervention arm will involve text-message assessments of sleepiness, fatigue, and difficulty concentrating at the beginning, every 4 hours during, and at the end of scheduled shifts. Participants reporting high levels of sleepiness, fatigue, or difficulty with concentration will receive one of nine randomly selected intervention messages to promote behavior change during shift work to improve alertness. Intervention participants will receive a text-message report on Friday of each week that shows their sleep debt over the previous 7 days followed by a text message to promote paying back sleep debt recovery when feasible. Participants in the control group receive text messages that only include assessments. Both arms will receive text-message assessments of perceived recovery since last shift, sleepiness, fatigue, or difficulty with concentration at noon (1200 hours) on days between scheduled shifts (off-duty days). We have two aims for this study: (1) to determine the short-term impact of the enhanced SleepTrackTXT2 intervention on air medical clinician fatigue reported in real time during and at the end of shift work, and (2) to determine the long-term impact of the SleepTrackTXT2 intervention on sleep quality and sleep health indicators including hours of sleep and recovery between shift work.

Discussion

The SleepTrackTXT2 trial may provide evidence of real-world effectiveness that would support widespread expansion of fatigue mitigation interventions in emergency care clinician shift workers. The trial may specifically support use of real-time assessments and interventions delivered via mobile technology such as text messaging.

Trial registration

ClinicalTrials.gov, NCT02783027. Registered on 23 May 2016.

Electronic supplementary material

The online version of this article (doi:10.1186/s13063-017-1999-z) contains supplementary material, which is available to authorized users.

Person-directed, non-pharmacological interventions for sleepiness at work and sleep disturbances caused by shift work

BACKGROUND

Shift work is often associated with sleepiness and sleep disorders. Person-directed, non-pharmacological interventions may positively influence the impact of shift work on sleep, thereby improving workers' well-being, safety, and health.

OBJECTIVES

To assess the effects of person-directed, non-pharmacological interventions for reducing sleepiness at work and improving the length and quality of sleep between shifts for shift workers.

SEARCH METHODS

We searched CENTRAL, MEDLINE Ovid, Embase, Web of Knowledge, ProQuest, PsycINFO, OpenGrey, and OSH-UPDATE from inception to August 2015. We also screened reference lists and conference proceedings and searched the World Health Organization (WHO) Trial register. We contacted experts to obtain unpublished data.

SELECTION CRITERIA

Randomised controlled trials (RCTs) (including cross-over designs) that investigated the effect of any person-directed, non-pharmacological intervention on sleepiness on-shift or sleep length and sleep quality off-shift in shift workers who also work nights.

DATA COLLECTION AND ANALYSIS

At least two authors screened titles and abstracts for relevant studies, extracted data, and assessed risk of bias. We contacted authors to obtain missing information. We conducted meta-analyses when pooling of studies was possible.

MAIN RESULTS

We included 17 relevant trials (with 556 review-relevant participants) which we categorised into three types of interventions: (1) various exposures to bright light (n = 10); (2) various opportunities for napping (n = 4); and (3) other interventions, such as physical exercise or sleep education (n = 3). In most instances, the studies were too heterogeneous to pool. Most of the comparisons yielded low to very low quality evidence. Only one comparison provided moderate quality evidence. Overall, the included studies' results were inconclusive. We present the results regarding sleepiness below. Bright light Combining two comparable studies (with 184 participants altogether) that investigated the effect of bright light during the night on sleepiness during a shift, revealed a mean reduction 0.83 score points of sleepiness (measured via the Stanford Sleepiness Scale (SSS) (95% confidence interval (CI) -1.3 to -0.36, very low quality evidence). Another trial did not find a significant difference in overall sleepiness on another sleepiness scale (16 participants, low quality evidence).Bright light during the night plus sunglasses at dawn did not significantly influence sleepiness compared to normal light (1 study, 17 participants, assessment via reaction time, very low quality evidence).Bright light during the day shift did not significantly reduce sleepiness during the day compared to normal light (1 trial, 61 participants, subjective assessment, low quality evidence) or compared to normal light plus placebo capsule (1 trial, 12 participants, assessment via reaction time, very low quality evidence). Napping during the night shiftA meta-analysis on a single nap opportunity and the effect on the mean reaction time as a surrogate for sleepiness, resulted in a 11.87 ms reduction (95% CI 31.94 to -8.2, very low quality evidence). Two other studies also reported statistically non-significant decreases in reaction time (1 study seven participants; 1 study 49 participants, very low quality evidence).A two-nap opportunity resulted in a statistically non-significant increase of sleepiness (subjective assessment) in one study (mean difference (MD) 2.32, 95% CI -24.74 to 29.38, 1 study, 15 participants, low quality evidence). Other interventionsPhysical exercise and sleep education interventions showed promise, but sufficient data to draw conclusions are lacking.

AUTHORS' CONCLUSIONS

Given the methodological diversity of the included studies, in terms of interventions, settings, and assessment tools, their limited reporting and the very low to low quality of the evidence they present, it is not possible to determine whether shift workers' sleepiness can be reduced or if their sleep length or quality can be improved with these interventions.We need better and adequately powered RCTs of the effect of bright light, and naps, either on their own or together and other non-pharmacological interventions that also consider shift workers' chronobiology on the investigated sleep parameters.

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.

An observational study of shift length, crew familiarity, and occupational injury and illness in emergency medical services workers

OBJECTIVES

Emergency medical services (EMS) clinicians are shift workers deployed in two-person teams. Extended shift duration, workplace fatigue, poor sleep and lack of familiarity with teammates are common in the EMS workforce and may contribute to workplace injury. We sought to examine the relationship between shift length and occupational injury while controlling for relevant shift work and teamwork factors.

METHODS

We obtained 3 years of shift schedules and occupational injury and illness reports were from 14 large EMS agencies. We abstracted shift length and additional scheduling and team characteristics from shift schedules. We matched occupational injury and illness reports to shift records and used hierarchical logistic regression models to test the relationship between shift length and occupational injury and illness while controlling for teammate familiarity.

RESULTS

The cohort contained 966,082 shifts, 4382 employees and 950 outcome reports. Risk of occupational injury and illness was lower for shifts ≤8 h in duration (RR 0.70; 95% CI 0.51 to 0.96) compared with shifts >8 and ≤12 h. Relative to shifts >8 and ≤12 h, risk of injury was 60% greater (RR 1.60; 95% CI 1.22 to 2.10) for employees that worked shifts >16 and ≤24 h.

CONCLUSIONS

Shift length is associated with increased risk of occupational injury and illness in this sample of EMS shift workers.

Differences in Paramedic Fatigue before and after Changing from a 24-hour to an 8-hour Shift Schedule: A Case Report

Emergency medical services (EMS) clinicians often work 24-hour shifts. There is a growing body of literature, with an elevated level of concern among EMS leaders that longer shifts contribute to fatigued workers and negative safety outcomes. However, many questions remain about shift length, fatigue, and outcomes. We describe a case of a 26-year-old male paramedic who switched shift schedules during the midpoint of a randomized trial that addressed fatigue in EMS workers (clinicaltrials.gov identifier: NCT02063737). The participant (case) began the study working full-time with a critical care, advanced life support EMS system that utilized 24-hour shifts. He then transitioned to an EMS system that deploys workers on 8-hour shifts. Per protocol for the randomized trial, the participant completed a battery of sleep health and fatigue surveys at baseline and at the end of 90 days of study. He also reported perceived fatigue, sleepiness, and difficulty with concentration at the beginning, every 4 hours during, and at the end of scheduled shifts, for a total of ten 24-hour shifts and twenty-four 8-hour shifts. We discuss differences in measures taken before and after switching shift schedules, and highlight differences in fatigue, sleepiness, and difficulty with concentration taken at the end of all 34 scheduled shifts stratified by shift duration (24 hours versus 8 hours). Findings from this case report present a unique opportunity to 1) observe and analyze a phenomenon that has not been investigated in great detail in the EMS setting; and 2) address an issue of significance to employers and EMS clinicians alike.