CE Module: A Systematic Review of Workplace-Based Employee Health Interventions and Their Impact on Sleep Duration Among Shift Workers

Background: Shift work is associated with long-term health risks. Workplace-based health interventions hold promise for improving or maintaining the health of shift workers; yet, the impact of workplace-based interventions on shift worker sleep duration has not been assessed. We conducted a systematic review of workplace interventions on shift worker sleep. Methods: We conducted searches in PubMed, Web of Knowledge, EMBASE, Scopus, and PsycINFO ( n = 6,868 records) of all studies published through May 15, 2019. Eligibility criteria included the following: (a) individuals aged ≥18 years; (b) a workplace-based employee intervention; (c) an employee population comprised predominantly of shift workers (>50%); and (d) sleep duration as a study outcome. Findings: Twenty workplace interventions met eligibility criteria. Mean intervention duration was 125 ( SD = 187) days and mean sample size was 116 employees ( SD = 256) with a mean age of 36.4 years ( SD = 6.5). Interventions most commonly focused on light exposure (25%) or shift timing (25%), followed by sleep hygiene (20%). Most interventions were conducted in the health care and social assistance sector (60%). Study quality on average was 64% ( SD = 7%). A majority of the studies found that a workplace-based health intervention was associated with a desirable increase in 24-hour total sleep duration (55%). The overall average increase in daily employee sleep duration achieved by interventions ranged for RCT studies from 0.34 to 0.99 hours and for non-RCT studies from 0.02 to 1.15 hours. Conclusions/Applications to Practice: More than half of the employee health interventions, especially yoga or mindfulness interventions, resulted in a desirable increase in sleep duration. Workplaces hold promise as an avenue? for delivering programs and policies that aim to improve sleep duration among shift workers.

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Employee Sleep and Workplace Health Promotion: A Systematic Review

American Journal of Health Promotion ◽

10.1177/0890117119841407 ◽

2019 ◽

Vol 33 (7) ◽

pp. 1009-1019 ◽

Cited By ~ 6

Author(s):

Rebecca Robbins ◽

Chandra L. Jackson ◽

Phoenix Underwood ◽

Dorice Vieira ◽

Giradin Jean-Louis ◽

...

Keyword(s):

Physical Activity ◽

Systematic Review ◽

Health Promotion ◽

Sleep Duration ◽

Employee Health ◽

Self Report ◽

Health Promotion Program ◽

Secondary Outcome ◽

Promotion Program ◽

Health Promotion Programs

Objective: Workplace-based employee health promotion programs often target weight loss or physical activity, yet there is growing attention to sleep as it affects employee health and performance. The goal of this review is to systematically examine workplace-based employee health interventions that measure sleep duration as an outcome. Data Source: We conducted systematic searches in PubMed, Web of Knowledge, EMBASE, Scopus, and PsycINFO (n = 6177 records). Study Inclusion and Exclusion Criteria: To be included in this systematic review, studies must include (1) individuals aged >18 years, (2) a worker health-related intervention, (3) an employee population, and (4) sleep duration as a primary or secondary outcome. Results: Twenty studies met criteria. Mean health promotion program duration was 2.0 months (standard deviation [SD] = 1.3), and mean follow-up was 5.6 months (SD = 6.5). The mean sample size of 395 employees (SD = 700.8) had a mean age of 41.5 years (SD = 5.2). Measures of sleep duration included self-report from a general questionnaire (n = 12, 66.6%), self-report based on Pittsburgh Sleep Quality Index (n = 4, 22.2%), and self-report and actigraphy combined (n = 5, 27.7%). Studies most commonly included sleep hygiene (35.0%), yoga (25.0%), physical activity (10.0%), and cognitive–behavioral therapy for insomnia (10.0%) interventions. Across the interventions, 9 different behavior change techniques (BCTs) were utilized; the majority of interventions used 3 or fewer BCTs, while 1 intervention utilized 4 BCTs. Study quality, on average, was 68.9% (SD = 11.1). Half of the studies found workplace-based health promotion program exposure was associated with a desired increase in mean nightly sleep duration (n = 10, 50.0%). Conclusions: Our study findings suggest health promotion programs may be helpful for increasing employee sleep duration and subsequent daytime performance.

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A SYSTEMATIC REVIEW OF STROKE, DELIRIUM AND ALLIED HEALTH INTERVENTIONS; AN EXERCISE IN FUTILITY

10.26226/morressier.5ab8f562d462b8029238d13f ◽

2018 ◽

Author(s):

Ramesh Sahathevan

Keyword(s):

Systematic Review ◽

Allied Health ◽

Health Interventions

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Effectiveness of web-based and mobile health interventions designed to enhance adherence to physical activity for people with inflammatory arthritis: a systematic review

Rheumatology Advances in Practice ◽

10.1093/rap/rkab016 ◽

2021 ◽

Author(s):

Mandeep Sekhon ◽

Claire White ◽

Emma Godfrey ◽

Aliya Amirova ◽

Åsa Revenäs ◽

...

Keyword(s):

Physical Activity ◽

Systematic Review ◽

Inflammatory Arthritis ◽

Risk Of Bias ◽

Health Interventions ◽

Behaviour Change Techniques ◽

Post Intervention ◽

Web Based ◽

Intervention Content ◽

Secondary Outcomes

Abstract Objective The aim of this systematic review was to assess the evidence from randomised controlled trials (RCT) and cohort studies for the effectiveness of digital interventions designed to enhance adherence to physical activity (PA) for people with inflammatory arthritis (IA) and describe the intervention content using established coding criteria. Methods Six electronic databases were searched for published and unpublished studies. Independent data extraction and quality assessment (Cochrane risk of bias II or ROBIN I) were conducted by two reviewers. The primary outcome was self-reported adherence to PA post-intervention. Secondary outcomes included self-reported adherence to PA at other timepoints, level of PA or engagement with intervention at any follow-up timepoint. Intervention content was assessed using the Consensus on Exercise Reporting Template and the Behaviour Change Techniques taxonomy version 1. Results From 11,136 reports, four moderate risk of bias studies (three RCTs, one cohort study) including 1,160 participants with rheumatoid arthritis or juvenile inflammatory arthritis were identified. Due to heterogeneity of outcomes, a narrative synthesis was conducted. Only one RCT reported a small between group difference in adherence to PA [mean difference (95% confidence intervals) -0.46 (-0.82. -0.09)] in favour of the intervention. There were no between group differences in any secondary outcomes. Interventions included between 3–11 behaviour change techniques but provided minimal exercise prescription information. Conclusion There is currently limited moderate quality evidence available to confidently evaluate the effect of web-based and mobile health interventions on adherence to PA or level of PA post intervention in people with IA.

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Do sleep interventions change sleep duration in children aged 0-5 years? A systematic review and meta-analysis of randomised controlled trials

Sleep Medicine Reviews ◽

10.1016/j.smrv.2021.101498 ◽

2021 ◽

pp. 101498

Author(s):

LouiseJ. Fangupo ◽

Jillian J. Haszard ◽

Andrew N. Reynolds ◽

Albany W. Lucas ◽

Deborah R. McIntosh ◽

...

Keyword(s):

Systematic Review ◽

Sleep Duration ◽

Randomised Controlled Trials ◽

Meta Analysis ◽

Controlled Trials ◽

Randomised Controlled

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Prediction Models for Public Health Containment Measures on COVID-19 Using Artificial Intelligence and Machine Learning: A Systematic Review

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18094499 ◽

2021 ◽

Vol 18 (9) ◽

pp. 4499

Author(s):

Anil Babu Payedimarri ◽

Diego Concina ◽

Luigi Portinale ◽

Massimo Canonico ◽

Deborah Seys ◽

...

Keyword(s):

Public Health ◽

Artificial Intelligence ◽

Machine Learning ◽

Systematic Review ◽

Public Transportation ◽

Prediction Models ◽

Positive Impact ◽

Health Interventions ◽

Public Health Interventions ◽

Commercial Activities

Artificial Intelligence (AI) and Machine Learning (ML) have expanded their utilization in different fields of medicine. During the SARS-CoV-2 outbreak, AI and ML were also applied for the evaluation and/or implementation of public health interventions aimed to flatten the epidemiological curve. This systematic review aims to evaluate the effectiveness of the use of AI and ML when applied to public health interventions to contain the spread of SARS-CoV-2. Our findings showed that quarantine should be the best strategy for containing COVID-19. Nationwide lockdown also showed positive impact, whereas social distancing should be considered to be effective only in combination with other interventions including the closure of schools and commercial activities and the limitation of public transportation. Our findings also showed that all the interventions should be initiated early in the pandemic and continued for a sustained period. Despite the study limitation, we concluded that AI and ML could be of help for policy makers to define the strategies for containing the COVID-19 pandemic.

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Meta-analysis and systematic review of teacher-delivered mental health interventions for internalizing disorders in adolescents

Mental Health & Prevention ◽

10.1016/j.mhp.2020.200182 ◽

2020 ◽

Vol 19 ◽

pp. 200182

Author(s):

Dr Lucas Shelemy ◽

Dr Kate Harvey ◽

Dr Polly Waite

Keyword(s):

Mental Health ◽

Systematic Review ◽

Meta Analysis ◽

Internalizing Disorders ◽

Health Interventions ◽

Mental Health Interventions

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Sleep Duration and the Risk of Dementia: A Systematic Review and Meta-analysis of Prospective Cohort Studies

Journal of the American Medical Directors Association ◽

10.1016/j.jamda.2019.06.009 ◽

2019 ◽

Vol 20 (12) ◽

pp. 1480-1487.e5 ◽

Cited By ~ 3

Author(s):

Li Fan ◽

Weihao Xu ◽

Yulun Cai ◽

Yixin Hu ◽

Chenkai Wu

Keyword(s):

Systematic Review ◽

Cohort Studies ◽

Sleep Duration ◽

Prospective Cohort ◽

Meta Analysis ◽

Prospective Cohort Studies

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A systematic review of mobile health interventions in China: Identifying gaps in care

Journal of Telemedicine and Telecare ◽

10.1177/1357633x19856746 ◽

2019 ◽

pp. 1357633X1985674 ◽

Cited By ~ 6

Author(s):

Xiaoshi Yang ◽

Carrie L Kovarik

Keyword(s):

Systematic Review ◽

Behaviour Change ◽

Mobile Health ◽

Urban Areas ◽

Healthcare Services ◽

Text Messages ◽

Health Interventions ◽

Health System Strengthening ◽

World Health ◽

Common Disease

Introduction Mobile health has a promising future in the healthcare system in most developed countries. China’s rapidly developing mobile technology infrastructure offers an unprecedented opportunity for wide adoption of mobile health interventions in the delivery of effective and timely healthcare services. However, there is little data on the current extent of the mobile health landscape in China. The aim of this study was to systematically review the existing mobile health initiatives in China, characterise the technology used, disease categories targeted, location of the end user (urban versus rural), and examine the potential effects of mobile health on health system strengthening in China. Furthermore, we identified gaps in development and evaluation of the effectiveness of mobile health interventions. Methods A systematic review of the literature published from 18 December 2015–3 April 2019 was conducted and yielded 2863 articles from English and Chinese retrieval database and trial registries, including PubMed, EMBASE, China National Knowledge of Infrastructure and World Health Organization International Clinical Trials Registry Platform. Studies were included if they used mobile health to support patient healthcare outcomes. Results A total of 1129 full-text articles were assessed and 338 were included in this study. The review found that most studies targeted client education and behaviour change via applications (apps) (65.4%), including WeChat, and text messaging (short text messages) (19.8%) to improve patient medical treatment outcomes such as compliance and appointment reminders. The most common disease-specific mobile health interventions focused primarily on chronic disease management and behaviour change in cardiology (13.3%), endocrinology/diabetes (12.1%), behavioural health (11.8%), oncology (11.2%) and neurology (6.8%). The mobile health interventions related to nutrition (0.6%) and chronic respiratory diseases (1.6%) are underrepresented in mobile health in comparison to the burden of disease in China. The majority (90.0%) of the mobile health interventions were conducted exclusively in urban areas, with few opportunities reaching rural populations. Conclusions Overall, mobile health has a promising future in China, with recent rapid growth in initiatives. The majority are focused on education and behaviour change in the realm of chronic diseases and target patients in urban areas. The imbalance in mobile health between the urban and rural areas, as well as between population disease spectrum and health service delivery, pose substantial dilemmas. However, mobile health may be redirected to correct this imbalance, possibly improving access to healthcare services, and filling the gaps in order to improve health equity for the underserved populations in China.

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