Abstract Introduction Self-efficacy is a critical determinant of successful behavioral modification across various health domains, yet current measures of sleep-related self-efficacy are outdated and limited primarily to clinical insomnia treatment. The existing Sleep Self-efficacy Scale (SSES), developed in 1987, does not reflect the comprehensive, health-focused behavioral strategies (eg, nutrition, technology use, schedule management) targeted by modern sleep health and coaching interventions. Given the many steps along the sleep-health coaching journey, developing a new, validated self-efficacy scale is thus essential for accurately assessing a key dimension of the “effectiveness” of sleep-health coaching interventions, offering a valuable complement to traditional outcomes, such as changes in common sleep metrics (eg, TST). Methods Following initial construction of a survey instrument covering topics relevant to sleep health coaching, a modified Delphi approach involving four rounds of anonymous Delphi surveys and a panel discussion with Sleep Medicine and Coaching experts was used to garner feedback and consensus on the domains and items that compose the Self-efficacy for Sleep Health (SE4SH) scale. Results The modified Delphi process resulted in a scale composed of 24 items relevant to sleep health coaching interventions. Domain coverage spanned sleep science principles of homeostatic sleep regulation, circadian rhythms, psychophysiologic hyperarousal, and external influences. All RuSATED sleep health domains were accounted for, including additional differentiation of the Efficiency domain into topics related to falling asleep, staying asleep, and early morning awakening. Conclusion The Self-efficacy for Sleep Health (SE4SH) scale is a license-free survey of sleep self-efficacy that may be helpful in assessing baseline self-efficacy and/or changes in self-efficacy related to sleep health coaching interventions. Support (if any) This study was conducted by employees of Alphabet Inc. Members of the expert panel (MJ, TD, TW, BG, NK) were compensated for their time.
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Logan Schneider
Google (United States)
Michelle Jonelis
Sleep Research Society
Conor Heneghan
Cross-Cutting Cardiology
SLEEP
Google (United States)
Loma Linda University
Shriners Hospitals for Children - Chicago
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Schneider et al. (Fri,) studied this question.
synapsesocial.com/papers/6a0021fec8f74e3340f9cf2d — DOI: https://doi.org/10.1093/sleep/zsag091.0183