The influence of hours worked prior to delivery on maternal and neonatal outcomes: a retrospective cohort study
Background Long continuous periods of working contribute to fatigue, which is an established risk factor for adverse patient outcomes in many clinical specialties. The total number of hours worked by delivering clinicians before delivery therefore may be an important predictor of adverse maternal an...
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Veröffentlicht in: | American journal of obstetrics and gynecology 2016-11, Vol.215 (5), p.634.e1-634.e7 |
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Zusammenfassung: | Background Long continuous periods of working contribute to fatigue, which is an established risk factor for adverse patient outcomes in many clinical specialties. The total number of hours worked by delivering clinicians before delivery therefore may be an important predictor of adverse maternal and neonatal outcomes. Objective We aimed to examine how rates of adverse delivery outcomes vary with the number of hours worked by the delivering clinician before delivery during both day and night shifts. Study Design We conducted a retrospective cohort study of 24,506 unscheduled deliveries at an obstetrics center in the United Kingdom from 2008–2013. We compared adverse outcomes between day shifts and night shifts using random-effects logistic regression to account for interoperator variability. Adverse outcomes were estimated blood loss of ≥1.5 L, arterial cord pH of ≤7.1, failed instrumental delivery, delayed neonatal respiration, severe perineal trauma, and any critical incident. Additive dynamic regression was used to examine the association between hours worked before delivery (up to 12 hours) and risk of adverse outcomes. Models were controlled for maternal age, maternal body mass index, parity, birthweight, gestation, obstetrician experience, and delivery type. Results We found no difference in the risk of any adverse outcome that was studied between day vs night shifts. Yet, risk of estimated blood loss of ≥1.5 L and arterial cord pH of ≤7.1 both varied by 30-40% within 12-hour shifts ( P |
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ISSN: | 0002-9378 1097-6868 1097-6868 |
DOI: | 10.1016/j.ajog.2016.06.026 |