Insomnia symptoms and their association with workplace productivity: cross-sectional and pre-post intervention analyses from a large multinational manufacturing company

Espie, Colin A.; Pawlecki, Brent; Waterfield, Dickon; Fitton, Kit; Radocchia, Michael; Luik, Annemarie I.

doi:10.1016/j.sleh.2018.03.003

Cited by 44 publications

(32 citation statements)

References 34 publications

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“…Finally, the four ODs were validated by expert consensus, after evaluating the contributions of previous studies. Regarding the levels of absenteeism and workplace accidents, many studies in the current literature have identified a direct relationship between insomnia and these phenomena (Brossoit et al, 2019;Espie et al, 2018;Kao, Spitzmueller, Cigularov, & Wu, 2016;Rajaratnam, Licamele, & Birznieks, 2015;Reynolds et al, 2017;Shahly et al, 2012) and other studies have shown a relationship between changes in affect and emotional instability (Motomura & Mishima, 2014;Palmer & Alfano, 2017). Likewise, in relation to the number of hours of sleep, many interventions have established the link between insomnia and the number of times the subject wakes up at night or before the scheduled time, with objective sleep data obtained by using sleep diaries and wrist actigraphs (Crain et al, 2019;Järnefelt et al, 2019;Olson et al, 2015;Persson Asplund et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Development and Validation of the Operational Definitions of the Defining Characteristics of the Nursing Diagnosis of Insomnia in the Occupational Health Setting

Vega‐Escaño

Barrientos‐Trigo

Romero‐Sánchez

et al. 2020

Int J of Nursing Knowl

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To develop and validate the operational definition (ODs) for each defining characteristic (DC) contained in the Nursing Diagnosis (ND) "insomnia" (00095) in the occupational health context. METHODS: Methodological study carried out in two stages, including a consensus of experts to develop the ODs (Stage 1) and an online Delphi panel, performed in two rounds, to validate them (Stage 2). FINDINGS: The 15 ODs proposed in Stage 1 were narrowed down to six validated ODs in the first round (diagnostic content validity index [DCVI] = 0.80-0.89). In the second round, five ODs were validated (DCVI = 0.80-0.94). Finally, the remaining four ODs were validated by the general consensus of experts. CONCLUSIONS: The ODs were validated, although there remains some doubt as to whether some of the DCs can be applied to the field of occupational health. IMPLICATIONS FOR NURSING PRACTICE: The ODs developed and validated could improve the diagnostic accuracy of the ND "insomnia" (00095) in the context of occupational health.

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Section: Discussionmentioning

confidence: 99%

Development and Validation of the Operational Definitions of the Defining Characteristics of the Nursing Diagnosis of Insomnia in the Occupational Health Setting

Vega‐Escaño

Barrientos‐Trigo

Romero‐Sánchez

et al. 2020

Int J of Nursing Knowl

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“…Untreated insomnia is associated with numerous mental and physical health sequelae (3), increased healthcare utilization (4), work problems (5), and financial burden on both the individual and society (6). Insomnia is one of the most common symptoms of TBI; 30-50% of patients report insomnia that developed or worsened following TBI (7) which is substantially elevated above general population prevalence [i.e., 6-10%; (8,9)].…”

Section: Insomnia In Tbimentioning

confidence: 99%

Perspective: Cognitive Behavioral Therapy for Insomnia Is a Promising Intervention for Mild Traumatic Brain Injury

Dietch

Furst

2020

Front. Neurol.

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Mild traumatic brain injury (mTBI) is a significant public health problem. Insomnia is one of the most common symptoms of TBI, occurring in 30-50% of patients with TBI, and is more frequently reported in patients with mild as opposed to moderate or severe TBI. Although insomnia may be precipitated by mTBI, it is unlikely to subside on its own without specific treatment even after symptoms of mTBI reduce or remit. Insomnia is a novel, highly modifiable treatment target in mTBI, treatment of which has the potential to make broad positive impacts on the symptoms and recovery following brain injury. Cognitive-behavioral therapy for insomnia (CBT-I) is the front-line intervention for insomnia and has demonstrated effectiveness across clinical trials; between 70 and 80% of patients with insomnia experience enduring benefit from CBT-I and about 50% experience clinical remission. Examining an existing model of the development of insomnia in the context of mTBI suggests CBT-I may be effective for insomnia initiated or exacerbated by sustaining a mTBI, but this hypothesis has yet to be tested via clinical trial. Thus, more research supporting the use of CBT-I in special populations such as mTBI is warranted. The current paper provides a background on existing evidence for using CBT-I in the context of TBI, raises key challenges, and suggests considerations for future directions including need for increased screening and assessment of sleep disorders in the context of TBI, examining efficacy of CBT-I in TBI, and exploring factors that impact dissemination and delivery of CBT-I in TBI.

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“…The societal costs of insomnia are substantial [20], and evidence suggests that treatment for insomnia can be cost-saving [10]. Sleepio has previously been shown to improve workplace productivity [21,22]. Yet, its impact on health care service use and prescription costs is mostly unknown.…”

Section: Introductionmentioning

confidence: 99%

Digital cognitive behavioural therapy for insomnia and primary care costs in England: an interrupted time series analysis

Sampson

Bell

Cole

et al. 2021

Preprint

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Background Sleepio is an automated digital programme that delivers cognitive behavioural therapy for insomnia. Sleepio has been proven effective in improving sleep difficulties. However, evidence for the possible impact of Sleepio use on health care costs in the United Kingdom has not previously been developed. In this study, we assessed the impact of a population-wide rollout of Sleepio in terms of primary care costs in the National Health Service (NHS) in England. Methods The study was conducted in the Thames Valley region of England, where access to Sleepio was made freely available to all residents between October 2018 and January 2020. We use primary care data for people with relevant characteristics from nine general practices in Buckinghamshire. The study relies on a quasi-experimental design, using an interrupted time series to compare the trend in primary care costs before and after the rollout of Sleepio. Primary care costs include general practice contacts and prescriptions. Segmented regression analysis was used to estimate primary and secondary outcomes. Results For the 10,704 patients included in our sample, the total saving over the 65-week follow-up period was GBP71,027. This corresponds to GBP6.64 per person in our sample, or around GBP70.44 per Sleepio user. Secondary analyses suggest that savings may be driven primarily by reductions in prescriptions. Conclusion Sleepio rollout reduced primary care costs. National adoption of Sleepio may result in a reduction in primary care costs of GBP20 million in the first year. The expected impact on primary care costs in any particular setting will depend on uptake of Sleepio.

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Insomnia symptoms and their association with workplace productivity: cross-sectional and pre-post intervention analyses from a large multinational manufacturing company

Cited by 44 publications

References 34 publications

Development and Validation of the Operational Definitions of the Defining Characteristics of the Nursing Diagnosis of Insomnia in the Occupational Health Setting

Development and Validation of the Operational Definitions of the Defining Characteristics of the Nursing Diagnosis of Insomnia in the Occupational Health Setting

Perspective: Cognitive Behavioral Therapy for Insomnia Is a Promising Intervention for Mild Traumatic Brain Injury

Digital cognitive behavioural therapy for insomnia and primary care costs in England: an interrupted time series analysis

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