Exploring older care recipients' sleep status as a predictor for informal carer distress: evidence from New Zealand's interRAI home care assessment data.

OBJECTIVES: Understanding factors affecting informal carers' well-being is important to support healthy ageing at home. Sleep disturbances of care recipients are increasingly recognised as affecting the well-being of both parties. This research assesses the relationship between indicators of care recipients' sleep status and carer distress, as well as carer distress with subsequent admission to residential aged care, using prospectively collected Home Care International Residential Assessment Instrument (interRAI-HC) assessment data. PARTICIPANTS: Data were sourced from 127 832 assessments conducted between 2012 and 2019 for people aged 55 years or older who had support from at least one informal carer. The majority (59.4%) of care recipients were female and 59.1% were defined as having cognitive impairment or dementia (CIoD). SETTING: New Zealand. DESIGN: Logistic regression modelling was used to assess the independent relationships between indicators of care recipients' sleep status (difficulty sleeping and fatigue) and primary caregivers' distress (feeling overwhelmed or distressed). Kaplan meier curves illustrated the subsequent relationship between caregiver distress and care recipients' transitions to aged residential care. RESULTS: Care recipients' sleeping difficulty (32.4%) and moderate-severe fatigue (46.6%) were independently associated with caregiver distress after controlling for key demographic and health factors included in the assessment. Distress was reported by 39.9% of informal caregivers and was three times more likely among those supporting someone with a CIoD. Caregiver distress was significantly associated with care recipients' earlier admission into aged residential care. CONCLUSIONS: Indicators of sleep disturbance among care recipients are associated with increased likelihood of carer distress. This has implications for managing the overall home-care situation and long-term care needs, as well as the well-being of both parties. Findings will inform research and development of measures, services and interventions to improve the sleep and waking health of older people, including those with CIoD and family caregivers.

Predictors Linking Obesity and the Gut Microbiome (the PROMISE Study): Protocol and Recruitment Strategy for a Cross-Sectional Study on Pathways That Affect the Gut Microbiome and Its Impact on Obesity.

BACKGROUND: The prevalence of obesity has increased substantially over recent decades and is associated with considerable health inequalities. Although the causes of obesity are complex, key drivers include overconsumption of highly palatable, energy-dense, and nutrient-poor foods, which have a profound impact on the composition and function of the gut microbiome. Alterations to the microbiome may play a critical role in obesity by affecting energy extraction from food and subsequent energy metabolism and fat storage. OBJECTIVE: We report the study protocol and recruitment strategy of the PRedictors linking Obesity and the gut MIcrobiomE (PROMISE) study, which characterizes the gut microbiome in 2 populations with different metabolic disease risk (Pacific and European women) and different body fat profiles (normal and obese). It investigates (1) the role of gut microbiome composition and functionality in obesity and (2) the interactions between dietary intake; eating behavior; sweet, fat, and bitter taste perception; and sleep and physical activity; and their impact on the gut microbiome, metabolic and endocrine regulation, and body fat profiles. METHODS: Healthy Pacific and New Zealand (NZ) European women aged between 18 and 45 years from the Auckland region were recruited for this cross-sectional study. Participants were recruited such that half in each group had either a normal weight (body mass index [BMI] 18.5-24.9 kg/m2) or were obese (BMI ≥30.0 kg/m2). In addition to anthropometric measurements and assessment of the body fat content using dual-energy x-ray absorptiometry, participants completed sweet, fat, and bitter taste perception tests; food records; and sleep diaries; and they wore accelerometers to assess physical activity and sleep. Fasting blood samples were analyzed for metabolic and endocrine biomarkers and DNA extracted from fecal samples was analyzed by shotgun sequencing. Participants completed questionnaires on dietary intake, eating behavior, sleep, and physical activity. Data were analyzed using descriptive and multivariate regression methods to assess the associations between dietary intake, taste perception, sleep, physical activity, gut microbiome complexity and functionality, and host metabolic and body fat profiles. RESULTS: Of the initial 351 women enrolled, 142 Pacific women and 162 NZ European women completed the study protocol. A partnership with a Pacific primary health and social services provider facilitated the recruitment of Pacific women, involving direct contact methods and networking within the Pacific communities. NZ European women were primarily recruited through Web-based methods and special interest Facebook pages. CONCLUSIONS: This cross-sectional study will provide a wealth of data enabling the identification of distinct roles for diet, taste perception, sleep, and physical activity in women with different body fat profiles in modifying the gut microbiome and its impact on obesity and metabolic health. It will advance our understanding of the etiology of obesity and guide future intervention studies involving specific dietary approaches and microbiota-based therapies. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12618000432213; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=370874. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/14529.

Fatigue and nurses' work patterns: An online questionnaire survey.

BACKGROUND: Fatigue resulting from shift work and extended hours can compromise patient care and the safety and health of nurses, as well as increasing nursing turnover and health care costs. OBJECTIVES: This research aimed to identify aspects of nurses' work patterns associated with increased risk of reporting fatigue-related outcomes. DESIGN: A national survey of work patterns and fatigue-related outcomes in 6 practice areas expected to have high fatigue risk (child health including neonatology, cardiac care/intensive care, emergency and trauma, in-patient mental health, medical, and surgical nursing). METHODS: The 5-page online questionnaire included questions addressing: demographics, usual work patterns, work in the previous two weeks, choice about shifts, and four fatigue-related outcomes - having a sleep problem for at least 6 months, sleepiness (Epworth Sleepiness Scale), recalling a fatigue-related error in clinical practice in the last 6 months, and feeling close to falling asleep at the wheel in the last 12 months. The target population was all registered and enrolled nurses employed to work in public hospitals at least 30 h/week in one of the 6 practice areas. Participation was voluntary and anonymous. RESULTS: Respondents (n = 3133) were 89.8% women and 8% Maori (indigenous New Zealanders), median age 40 years, range 21-71 years (response rate 42.6%). Nurses were more likely than New Zealand adults in general to report chronic sleep problems (37.73% vs 25.09%, p < 0.0001) and excessive sleepiness (33.75% vs 14.9%, p < 0.0001). Fatigue-related error(s) in the last 6 months were recalled by 30.80% and 64.50% reported having felt sleepy at the wheel in the last 12 months. Logistic regression analyses indicated that fatigue-related outcomes were most consistently associated with shift timing and sleep. Risk increased with more night shifts and decreased with more nights with sleep between 11 p.m. and 7 a.m. and on which nurses had enough sleep to feel fully rested. Risk also increased with roster changes and more shift extensions greater than 30 min and decreased with more choice about shifts. Comparisons between intensive care/cardiac care and in-patient mental health nursing highlight that fatigue has different causes and consequences in different practice areas. CONCLUSIONS: Findings confirm the need for a more comprehensive and adaptable approach to managing fatigue. We advocate an approach that integrates safety management and scientific principles with nursing and management expertise. It should be data-driven, risk-focused, adaptable, and resilient in the face of changes in the services required, the resources available, and the overall goals of the healthcare system.

Monitoring the Effectiveness of Fatigue Risk Management: A Survey of Pilots' Concerns.

INTRODUCTION: Airlines are required to monitor the effectiveness of their pilot fatigue risk management. The present survey sought the views of all pilots at Delta Air Lines on fatigue-related issues raised by their colleagues participating in regular airline safety audits. METHODS: All 13,217 pilots from 9 aircraft fleets were invited to participate in an anonymous online survey. Questions related to aspects of scheduling, fatigue mitigations, and fatigue safety culture. RESULTS: There were 1108 pilots who completed the survey (response rate = 8.4%). On 7/9 fleets, most pilots thought 5- to 7-d rotations were too long (exceptions: B747, median = 14 d; A330 median = 8.5 d). In the previous year, on average across all fleets, 60.6% of pilots had worked up to or beyond their personal rotation limit (minimum, B747 = 6.3%; maximum, MD88/90 = 75.9%). Rotations where duty periods start progressively earlier were considered highly fatiguing by 73.8% of pilots, compared to 14.7% for rotations where duty periods started progressively later and 1.6% for rotations with successive duty periods starting at the same time. The median optimum break length between rotations was 3-4 d. On 7/9 fleets, fewer than 20% of pilots tried to build their monthly schedules with back-to-back rotations (exceptions: B747, 43.8%; A330, 34.3%). Awareness of fatigue and perceptions of company fatigue risk management activities varied widely among fleets. DISCUSSION: The findings identify possible improvements in fatigue risk management and highlight that care is needed when extrapolating from one operational context to another. As a safety assurance exercise, we recommend repeating the survey biannually, or sooner if warranted by specific circumstances.Gander P, Mangie J, Phillips A, Santos-Fernandez E, Wu LJ. Monitoring the effectiveness of fatigue risk management: a survey of pilots' concerns. Aerosp Med Hum Perform. 2018; 89(10):889-895.

Equivalence Testing as a Tool for Fatigue Risk Management in Aviation.

BACKGROUND: Many civilian aviation regulators favor evidence-based strategies that go beyond hours-of-service approaches for managing fatigue risk. Several countries now allow operations to be flown outside of flight and duty hour limitations, provided airlines demonstrate an alternative method of compliance that yields safety levels "at least equivalent to" the prescriptive regulations. Here we discuss equivalence testing in occupational fatigue risk management. We present suggested ratios/margins of practical equivalence when comparing operations inside and outside of prescriptive regulations for two common aviation safety performance indicators: total in-flight sleep duration and psychomotor vigilance task reaction speed. Suggested levels of practical equivalence, based on expertise coupled with evidence from field and laboratory studies, are ≤ 30 min in-flight sleep and ± 15% of reference response speed. METHODS: Equivalence testing is illustrated in analyses of a within-subjects field study during an out-and-back long-range trip. During both sectors of their trip, 41 pilots were monitored via actigraphy, sleep diary, and top of descent psychomotor vigilance task. Pilots were assigned to take rest breaks in a standard lie-flat bunk on one sector and in a bunk tapered 9 from hip to foot on the other sector. RESULTS: Total in-flight sleep duration (134 ± 53 vs. 135 ± 55 min) and mean reaction speed at top of descent (3.94 ± 0.58 vs. 3.77 ± 0.58) were equivalent after rest in the full vs. tapered bunk. DISCUSSION: Equivalence testing is a complimentary statistical approach to difference testing when comparing levels of fatigue and performance in occupational settings and can be applied in transportation policy decision making.Wu LJ, Gander PH, van den Berg M, Signal TL. Equivalence testing as a tool for fatigue risk management in aviation. Aerosp Med Hum Perform. 2018; 89(4):383-388.

Preparing Safety Cases for Operating Outside Prescriptive Fatigue Risk Management Regulations.

INTRODUCTION: Transport operators seeking to operate outside prescriptive fatigue management regulations are typically required to present a safety case justifying how they will manage the associated risk. This paper details a method for constructing a successful safety case. METHODS: The method includes four elements: 1) scope (prescriptive rules and operations affected); 2) risk assessment; 3) risk mitigation strategies; and 4) monitoring ongoing risk. A successful safety case illustrates this method. It enables landing pilots in 3-pilot crews to choose the second or third in-flight rest break, rather than the regulatory requirement to take the third break. Scope was defined using a month of scheduled flights that would be covered (N = 4151). These were analyzed in the risk assessment using existing literature on factors affecting fatigue to estimate the maximum time awake at top of descent and sleep opportunities in each break. Additionally, limited data collected before the new regulations showed that pilots flying at landing chose the third break on only 6% of flights. RESULTS: A prospective survey comparing subjective reports (N = 280) of sleep in the second vs. third break and fatigue and sleepiness ratings at top of descent confirmed that the third break is not consistently superior. The safety case also summarized established systems for fatigue monitoring, risk assessment and hazard identification, and multiple fatigue mitigation strategies that are in place. DISCUSSION: Other successful safety cases have used this method. The evidence required depends on the expected level of risk and should evolve as experience with fatigue risk management systems builds.Gander P, Mangie J, Wu L, van den Berg M, Signal L, Phillips A. Preparing safety cases for operating outside prescriptive fatigue risk management regulations. Aerosp Med Hum Perform. 2017; 88(7):688-696.

Sleep of Māori and non-Māori of Advanced Age.

AIM: To estimate prevalence and identify predictors and outcomes of reporting sleep problems in Māori and non-Māori of advanced age. METHOD: Participants were 251 Māori, and 398 non-Māori adults (79-90 years) from Te Puāwaitanga o Ngā Tapuwae Kia Ora Tonu. Life and Living in Advanced Age: A Cohort Study in New Zealand. Multiple logistic regression identified predictors of reporting a current sleep problem and investigated relationships between current sleep problems and physical and mental health. RESULTS: 26.3% of Māori and 31.7% of non-Māori reported a current sleep problem. Reporting a current sleep problem was associated with ethnicity (non-Māori, adjusted OR=0.52, 95% CI=0.30-0.90), and reporting a past sleep problem (adjusted OR=2.67, 95% CI=1.25-5.72). Sleep problems were related to poorer physical and mental health, and falling. CONCLUSION: Sleep problems are commonly reported and associated with poorer health. Early recognition and management of sleep problems could improve physical and mental health.

Explaining ethnic inequities in sleep duration: a cross-sectional survey of Maori and non-Maori adults in New Zealand.

OBJECTIVES: The aims were: (1) to investigate the independent associations between suboptimal sleep duration and neighborhood deprivation, employment status, self-rated general health, overweight/obesity, and preferred sleep timing (chronotype); and (2) to determine the statistical contribution of socioeconomic, health, and chronotype factors to ethnic inequities in suboptimal sleep duration. PARTICIPANTS: Mail-out survey to a stratified national sample of 5100 Maori (indigenous New Zealanders) and 4000 non-Maori adults (20-59 years) randomly selected from the electoral rolls (54% response rate). MEASUREMENTS: Data on usual sleep duration were obtained using a NZ version of the Munich Chronotype Questionnaire. A range of sociodemographic and health-related variables were also available. RESULTS: The prevalence of insufficient (≥2 hours difference in average sleep duration on free days versus scheduled days), short (<7 hours) and long sleep durations (≥9 hours) were consistently higher for Maori than non-Maori. For insufficient sleep, the inequity was partly explained by greater socioeconomic deprivation and more night work among Maori, and further attenuated after adjustment for health-related factors and chronotype. In contrast, ethnic inequities in short and long sleep durations remained, even in the fully adjusted models. CONCLUSIONS: Ethnic inequities in insufficient and suboptimal sleep duration narrowed but were not fully explained by differences in socioeconomic position and health status between Maori and non-Maori. Growing evidence suggests that poor sleep may mediate ethnic inequities in other areas of health, therefore, actions that target the basic causes of sleep health inequities should be considered as part of broader population health policies and interventions.

Crew fatigue safety performance indicators for fatigue risk management systems.

INTRODUCTION: Implementation of Fatigue Risk Management Systems (FRMS) is gaining momentum; however, agreed safety performance indicators (SPIs) are lacking. This paper proposes an initial set of SPIs based on measures of crewmember sleep, performance, and subjective fatigue and sleepiness, together with methods for interpreting them. METHODS: Data were included from 133 landing crewmembers on 2 long-range and 3 ultra-long-range trips (4-person crews, 3 airlines, 220 flights). Studies had airline, labor, and regulatory support, and underwent independent ethical review. SPIs evaluated preflight and at top of descent (TOD) were: total sleep in the prior 24 h and time awake at duty start and at TOD (actigraphy); subjective sleepiness (Karolinska Sleepiness Scale) and fatigue (Samn-Perelli scale); and psychomotor vigilance task (PVT) performance. Kruskal-Wallis nonparametric ANOVA with post hoc tests was used to identify significant differences between flights for each SPI. RESULTS: Visual and preliminary quantitative comparisons of SPIs between flights were made using box plots and bar graphs. Statistical analyses identified significant differences between flights across a range of SPls. DISCUSSION: In an FRMS, crew fatigue SPIs are envisaged as a decision aid alongside operational SPIs, which need to reflect the relevant causes of fatigue in different operations. We advocate comparing multiple SPIs between flights rather than defining safe/unsafe thresholds on individual SPIs. More comprehensive data sets are needed to identify the operational and biological factors contributing to the differences between flights reported here. Global sharing of an agreed core set of SPIs would greatly facilitate implementation and improvement of FRMS.

Insomnia treatment in New Zealand.

AIM: To describe insomnia treatment in New Zealand and estimate the annual societal costs of insomnia among New Zealanders aged 20-59 years. METHOD: Twenty-one interviews were conducted with insomnia treatment providers in New Zealand using a snowballing recruitment method. Information from the interviews and the international literature was used to estimate treatment profiles, availability, uptake and costs, as the basis for a decision analytic model with micro costing of each potential outcome. Sensitivity analyses were conducted with 10,000 Monte Carlo simulations randomly varying between each model parameter between minimum and maximum estimates. RESULTS: The treatment provider interviews highlighted the unstructured nature of insomnia treatment in New Zealand. The net cost of treating a person with insomnia was estimated to be -$482. The net annual benefit (saving) for treating insomniacs aged between 20-59 yrs was estimated at $21.8 million. CONCLUSION: The estimated total societal costs per QALY gained by treating insomnia is substantially lower than the average QALY cost-effectiveness threshold ($6,865) of PHARMAC funding decisions for new pharmaceuticals. Thus, these analyses strongly support the cost-effectiveness of insomnia treatment.

Insomnia - treatment pathways, costs and quality of life.

BACKGROUND: Insomnia is perhaps the most common sleep disorder in the general population, and is characterised by a range of complaints around difficulties in initiating and maintaining sleep, together with impaired waking function. There is little quantitative information on treatment pathways, costs and outcomes. The aims of this New Zealand study were to determine from which healthcare practitioners patients with insomnia sought treatment, treatment pathways followed, the net costs of treatment and the quality of life improvements obtained. METHODS: The study was retrospective and prevalence based, and was both cost effectiveness (CEA) and a cost utility (CUA) analysis. Micro costing techniques were used and a societal analytic perspective was adopted. A deterministic decision tree model was used to estimate base case values, and a stochastic version, with Monte Carlo simulation, was used to perform sensitivity analysis. A probability and cost were attached to each event which enabled the costs for the treatment pathways and average treatment cost to be calculated. The inputs to the model were prevalence, event probabilities, resource utilisations, and unit costs. Direct costs and QALYs gained were evaluated. RESULTS: The total net benefit of treating a person with insomnia was $482 (the total base case cost of $145 less health costs avoided of $628). When these results were applied to the total at-risk population in New Zealand additional treatment costs incurred were $6.6 million, costs avoided $28.4 million and net benefits were $21.8 million. The incremental net benefit when insomnia was "successfully" treated was $3,072 per QALY gained. CONCLUSIONS: The study has brought to light a number of problems relating to the treatment of insomnia in New Zealand. There is both inadequate access to publicly funded treatment and insufficient publicly available information from which a consumer is able to make an informed decision on the treatment and provider options. This study suggests that successful treatment of insomnia leads to direct cost savings and improved quality of life.

Societal costs of obstructive sleep apnoea syndrome.

AIM: To estimate the societal costs of obstructive sleep apnoea syndrome (OSAS) in New Zealand and develop a simulation tool to evaluate treatment options. METHOD: Treatment profiles, availability, uptake, and costs were based on services in the Wellington Region, and were used to develop a decision analytic model with micro costing of each potential outcome. Sensitivity analyses were conducted with 10,000 Monte Carlo simulations randomly varying each model parameter between high and low estimates. RESULTS: Total annual societal costs of OSAS for New Zealanders aged 30-60 years were estimated at $40 million (range $33-$90 million) or $419 per case, with accidents being the major contributor. This included 58% direct medical, 13% direct non-medical, 25% indirect, and 3% intangible costs. The estimated incremental net cost of treating OSAS was $389 per case treated (range $338-$427). The estimated incremental net direct medical cost per quality of life year (QALY) gained was $94 (range $56-$310). CONCLUSION: The estimated incremental direct medical cost per QALY gained by OSAS treatment is well below the average QALY cost ($6865) for drugs selected by PHARMAC to receive government subsidy for use in the healthcare system. Thus, the analysis strongly supports the cost effectiveness of OSAS treatment.

The epidemiology of morningness/eveningness: influence of age, gender, ethnicity, and socioeconomic factors in adults (30-49 years).

The Horne and Ostberg Morningness/Eveningness Questionnaire (MEQ) is widely used to differentiate between morning and evening types, but there is very little epidemiological evidence about the distribution of MEQ chronotypes in the general population. The purpose of the present study was to simultaneously investigate the influence of demographic, socioeconomic, and work factors on the distribution of morningness/eveningness. A New Zealand version of the MEQ was mailed to 5000 New Zealand adults, ages 30 to 49 years, who were randomly selected from the electoral rolls (55.7% response rate). A total of 2526 questionnaires were included in the analyses. According to the Horne and Ostberg classification, 49.8% of the total population was classified as morning type compared to 5.6% having an evening-type preference. However, using new cutoffs for middle-aged working adults described by Taillard et al. (2004), 24.7% of the population was morning type and 26.4% was evening type. After controlling for ethnicity, gender, and socioeconomic deprivation, participants ages 30 to 34 years were more likely to be definitely evening type (odds ratio [OR] = 1.59, p < 0.05) and less likely to be morning type (moderately morning type, OR = 0.59, p < 0.01, or definitely morning type, OR = 0.59, p < 0.05) compared to those ages 45 to 49 years. Work schedules were also important predictors of chronotype, with night workers more likely to be definitely evening type (OR = 1.49, p = 0.05) and the unemployed less likely to be moderately morning type (OR = 0.64, p < 0.05) compared to other workers. Evening types were 2.5 times more likely to report that their general health was only poor or fair compared to morning types (p < 0.01). This study confirms that the original criteria of Horne and Ostberg (1976) are not useful for classifying chronotypes in a middle-aged population. The authors conclude that morningness/eveningness preference is largely independent of ethnicity, gender, and socioeconomic position, indicating that it is a stable characteristic that may be better explained by endogenous factors.

The Epworth Sleepiness Scale: influence of age, ethnicity, and socioeconomic deprivation. Epworth Sleepiness scores of adults in New Zealand.

STUDY OBJECTIVES: To examine possible relationships between excessive sleepiness (Epworth Sleepiness Scale score >10), and age, sex, ethnicity, socioeconomic deprivation, usual sleep, and self-reported symptoms of obstructive sleep apnea. DESIGN: Mail-out survey to a stratified random sample of 10,000 people aged 30 to 60 years, selected from the electoral roll. SETTING: Nationwide survey of adults in New Zealand (71% response rate). PARTICIPANTS: The sample design aimed for equal numbers of Maori and non-Maori participants, men and women, and participants in each age decade. INTERVENTIONS: N/A. MEASUREMENTS AND RESULTS: Two-page questionnaire. Maori participants had higher mean Epworth Sleepiness Scale scores than non-Maori (7.5 versus 6.0) and were more likely to have an Epworth Sleepiness Scale score of more than 10. Logistic multiple regression modeling identified the following significant independent risk factors for having an Epworth Sleepiness Scale score >10: being Maori, male, older, reporting more or less than 7.5 to 8.0 hours usual sleep, never or rarely getting enough sleep, never or rarely waking refreshed, larger neck circumference, observed apneas, and not drinking alcohol (compared with moderate alcohol consumption). CONCLUSIONS: The relationships between an Epworth Sleepiness Scale score >10 and sleep habits and risk factors for obstructive sleep apnea are as expected. The relationships between an ESS score > 10 and being Maori, a man, older, or more socioeconomically deprived could be related to a higher prevalence of sleep disorders in these groups. However, more research is needed to understand possible differences not only in pathophysiologic processes, but also in the wider societal trends and pressures that may impact differentially on sleep and sleepiness.