Differences in weight status among Australian children and adolescents from priority populations: a longitudinal study.

BACKGROUND AND SIGNIFICANCE: Australia has a high level of cultural and linguistic diversity, including Aboriginal and Torres Strait Islander peoples. Children from specific cultural and ethnic groups may be at greater risk of overweight and obesity and may bear the additional risk of socioeconomic disadvantage. Our aim was to identify differences in body-mass index z-score (zBMI) by: (1) Cultural and ethnic groups and; (2) Socioeconomic position (SEP), during childhood and adolescence. SUBJECTS/METHODS: We used data from the Longitudinal Study of Australian children (n = 9417) aged 2-19 years with 50870 longitudinal measurements of zBMI. Children were classified into 9 cultural and ethnic groups, based on parent and child's country of birth and language spoken at home. These were: (1) English-speaking countries; (2) Middle East & North Africa; (3) East & South-East Asia; (4) South & Central Asia; (5) Europe; (6) Sub-Saharan Africa; (7) Americas; (8) Oceania. A further group (9) was defined as Aboriginal and Torres Strait Islander from self-reported demographic information. Longitudinal cohort analyses in which exposures were cultural and ethnic group and family socioeconomic position, and the outcome was zBMI estimated using multilevel mixed linear regression models. We stratified our analyses over three periods of child development: early childhood (2-5 years); middle childhood (6-11 years); and adolescence (12-19 years). RESULTS: Across all three periods of child development, children from the Middle East and North Africa, the Americas and Oceania were associated with higher zBMI and children from the two Asian groups were associated with lower zBMI, when compared to the referent group (English). zBMI was socioeconomically patterned, with increasingly higher zBMI associated with more socioeconomic disadvantage. CONCLUSIONS: Our findings identified key population groups at higher risk of overweight and obesity in childhood and adolescence. Prevention efforts should prioritize these groups to avoid exacerbating inequalities in healthy weight in childhood.

Modelled Distributional Cost-Effectiveness Analysis of Childhood Obesity Interventions: A Demonstration.

OBJECTIVE: To demonstrate how distributional cost-effectiveness analyses of childhood obesity interventions could be conducted and presented for decision makers. METHODS: We conducted modelled distributional cost-effectiveness analyses of three obesity interventions in children: an infant sleep intervention (POI-Sleep), a combined infant sleep, food, activity and breastfeeding intervention (POI-Combo) and a clinician-led treatment for primary school-aged children with overweight and obesity (High Five for Kids). For each intervention, costs and socioeconomic position (SEP)-specific effect sizes were applied to an Australian child cohort (n = 4898). Using a purpose-built microsimulation model we simulated SEP-specific body mass index (BMI) trajectories, healthcare costs and quality-adjusted life years (QALYs) from age 4 to 17 years for control and intervention cohorts. We examined the distribution of each health outcome across SEP and determined the net health benefit and equity impact accounting for opportunity costs and uncertainty due to individual-level heterogeneity. Finally, we conducted scenario analyses to test the effect of assumptions about health system marginal productivity, the distribution of opportunity costs and SEP-specific effect sizes. The results of the primary analyses, uncertainty analyses and scenario analyses were presented on an efficiency-equity impact plane. RESULTS: Accounting for uncertainty, POI-Sleep and High Five for Kids were found to be 'win-win' interventions, with a 67% and 100% probability, respectively, of generating a net health benefit and positive equity impact compared with control. POI-Combo was found to be a 'lose-lose' intervention, with a 91% probability of producing a net health loss and a negative equity impact compared with control. Scenario analyses indicated that SEP-specific effect sizes were highly influential on equity impact estimates for POI-Combo and High Five for Kids, while health system marginal productivity and opportunity cost distribution assumptions primarily influenced the net health benefit and equity impact of POI-Combo. CONCLUSIONS: These analyses demonstrated that distributional cost-effectiveness analyses using a fit-for-purpose model are appropriate for differentiating and communicating the efficiency and equity impacts of childhood obesity interventions.

Economic evaluation of a mobile phone text-message intervention for Australian adults with type 2 diabetes.

Background: The rising prevalence of type 2 diabetes in Australia is a public health concern, contributing to significant disease burden and economic costs. Text-message programs have been shown to improve health outcomes for people with type 2 diabetes, however they remain underutilized, and no evidence exists on their cost-effectiveness or costs of scale up to a population level in Australia. This study aimed to determine the cost-effectiveness and cost-utility of a 6-month text-message intervention (DTEXT) to improve glycated hemoglobin (HbA1c) and self-management behaviors for Australian adults with type 2 diabetes. Methods: A within-trial economic evaluation was conducted on the DTEXT randomized controlled trial. Incremental cost-effectiveness ratios (ICERs) were determined per 11 mmol/mol (1%) reduced HbA1c and per quality adjusted life year (QALY) gained, compared to usual care. Cost-effectiveness acceptability curves (CEAC) determined the probability of the intervention being cost-effective over a range of willingness to pay thresholds. A scenario analysis was conducted to determine how cost-effectiveness was impacted by using current implementation costs. Results: The DTEXT intervention cost AU$36 (INT$24) per participant, with an ICER of AU$311 (INT$211) per 11 mmol/mol (1%) reduced HbA1c. Based on HbA1c outcomes, DTEXT had a 33% probability of being effective and cost-saving. Based on the QALY outcomes, the intervention had only a 24% probability of being cost-effective. Scenario analysis indicated costs per participant of AU$13 (INT$9) to deliver the intervention, with a reduced incremental cost effectiveness ratio of AU$151 (INT$103) per 11 mmol/mol (1%) reduced HbA1c and a 38% probability of being effective and cost-saving. Conclusions: DTEXT was low cost and potentially scalable, but only had a low to moderate probability of being effective and cost saving. Further research should determine more targeted approaches that may improve cost-effectiveness. Trial Registration: ACTRN12617000416392.

Reliability, acceptability, validity and responsiveness of the CHU9D and PedsQL in the measurement of quality of life in children and adolescents with overweight and obesity.

BACKGROUND: The Paediatric Quality of life Inventory (PedsQLTM) Generic Core Scales and the Child Health Utilities 9 Dimensions (CHU9D) are two paediatric health-related quality of life (HRQoL) measures commonly used in overweight and obesity research. However, no studies have comprehensively established the psychometric properties of these instruments in the context of paediatric overweight and obesity. The aim of this study was to assess the reliability, acceptability, validity and responsiveness of the PedsQL and the CHU9D in the measurement of HRQoL among children and adolescents living with overweight and obesity. SUBJECTS/METHODS: Subjects were 6544 child participants of the Longitudinal Study of Australian Children, with up to 3 repeated measures of PedsQL and CHU9D and aged between 10 and 17 years. Weight and height were measured objectively by trained operators, and weight status determined using World Health Organisation growth standards. We examined reliability, acceptability, known group and convergent validity and responsiveness, using recognised methods. RESULTS: Both PedsQL and CHU9D demonstrated good internal consistency reliability, and high acceptability. Neither instrument showed strong convergent validity, but PedsQL appears to be superior to the CHU9D in known groups validity and responsiveness. Compared with healthy weight, mean (95%CI) differences in PedsQL scores for children with obesity were: boys -5.6 (-6.2, -4.4); girls -6.7 (-8.1, -5.4) and differences in CHU9D utility were: boys -0.02 (-0.034, -0.006); girls -0.035 (-0.054, -0.015). Differences in scores for overweight compared with healthy weight were: PedsQL boys -2.2 (-3.0, -1.4) and girls -1.3 (-2.0, -0.6) and CHU9D boys: no significant difference; girls -0.014 (-0.026, -0.003). CONCLUSION: PedsQL and CHU9D overall demonstrated good psychometric properties, supporting their use in measuring HRQoL in paediatric overweight and obesity. CHU9D had poorer responsiveness and did not discriminate between overweight and healthy weight in boys, which may limit its use in economic evaluation.

Potential cost-effectiveness of e-health interventions for treating overweight and obesity in Australian adolescents.

BACKGROUND: E-health, defined as the use of information and communication technologies to improve healthcare delivery and health outcomes, has been promoted as a cost-effective strategy to treat adolescent overweight and obesity. However, evidence supporting this claim is lacking. OBJECTIVES: Assess the potential cost-effectiveness of a hypothetical e-health intervention for adolescents with overweight and obesity. METHODS: The costs and effect size (BMI reduction) of the hypothetical intervention were sourced from recent systematic reviews. Using a micro-simulation model with a lifetime time horizon, we conducted a modelled cost-utility analysis of the intervention compared to a 'do-nothing' approach. To explore uncertainty, we conducted bootstrapping on individual-level costs and quality-adjusted life years (QALYs) and performed multiple one-way sensitivity analyses. RESULTS: The incremental cost-effectiveness ratio (ICER) for the e-health intervention was dominant (cheaper and more effective), with a 96% probability of being cost-effective at a willingness-to-pay (WTP) of $50 000/QALY. The ICER remained dominant in all sensitivity analyses except when using the lower bounds of the hypothetical intervention effect size, which reduced the probability of cost-effectiveness at a WTP of $50 000/QALY to 51%. CONCLUSION: E-health interventions for treatment of adolescent overweight and obesity demonstrate very good cost-effectiveness potential and should be considered by healthcare decision makers. However, further research on the efficacy of such interventions is warranted to strengthen the case for investment.

Economic evaluation of digitally enabled aged and neurological rehabilitation care in the Activity and MObility UsiNg Technology (AMOUNT) trial.

OBJECTIVE: To investigate the trial-based cost-effectiveness of the addition of a tailored digitally enabled exercise intervention to usual care shown to be clinically effective in improving mobility in the Activity and MObility UsiNg Technology (AMOUNT) rehabilitation trial compared to usual care alone. DESIGN: Economic evaluation alongside a pragmatic randomized controlled trial. PARTICIPANTS: 300 people receiving inpatient aged and neurological rehabilitation were randomized to the intervention (n = 149) or usual care control group (n = 151). MAIN MEASURES: Incremental cost effectiveness ratios were calculated for the additional costs per additional person demonstrating a meaningful improvement in mobility (3-point in Short Physical Performance Battery) and quality-adjusted life years gained at 6 months (primary analysis). The joint probability distribution of costs and outcomes was examined using bootstrapping. RESULTS: The mean cost saving for the intervention group at 6 months was AU$2286 (95% Bootstrapped cost CI: -$11,190 to $6410) per participant; 68% and 67% of bootstraps showed the intervention to be dominant (i.e. more effective and cost saving) for mobility and quality-adjusted life years, respectively. The probability of the intervention being cost-effective considering a willingness to pay threshold of AU$50,000 per additional person with a meaningful improvement in mobility or quality-adjusted life year gained was 93% and 77%, respectively. CONCLUSIONS: The AMOUNT intervention had a high probability of being cost-effective if decision makers are willing to pay AU$50,000 per meaningful improvement in mobility or per quality-adjusted life year gained, and a moderate probability of being cost-saving and effective considering both outcomes at 6 months post randomization.

Is the cost-effectiveness of an early-childhood sleep intervention to prevent obesity affected by socioeconomic position?

OBJECTIVE: This study aimed to determine whether the cost-effectiveness of an infant sleep intervention from the Prevention of Overweight in Infancy (POI) trial was influenced by socioeconomic position (SEP). METHODS: An SEP-specific economic evaluation of the sleep intervention was conducted. SEP-specific intervention costs and effects at age 5 years, derived from the trial data, were applied to a representative cohort of 4,898 4- to 5-year-old Australian children. Quality-adjusted life years and health care costs were simulated until age 17 years using a purpose-built SEP-specific model. Incremental cost-effectiveness ratios and acceptability curves were derived for each SEP group. RESULTS: The incremental cost-effectiveness ratios, in Australian dollars per quality-adjusted life year gained, were smaller in the low- ($23,010) and mid-SEP ($18,206) groups compared with the high-SEP group ($31,981). The probability that the intervention was cost-effective was very high in the low- and mid-SEP groups (92%-100%) and moderately high in the high-SEP group (79%). CONCLUSIONS: An infant sleep intervention is more cost-effective in low- and mid-SEP groups compared with high-SEP groups. Targeting this intervention to low-SEP groups would not require trade-offs between efficiency and equity.

Longitudinal assessment of the health-related quality of life of children and adolescents with chronic kidney disease.

In this multi-center longitudinal cohort study conducted in Australia and New Zealand, we assessed the trajectories of health-related quality of life (HRQoL) in children with chronic kidney disease (CKD) over time. A total of 377 children (aged 6-18 years) with CKD stages 1-5 (pre-dialysis), dialysis, or transplant, were followed biennially for four years. Multi Attribute Utility (MAU) scores of HRQoL were measured at baseline and at two and four years using the McMaster Health Utilities Index Mark 3 tool, a generic multi-attribute, preference-based system. A multivariable linear mixed model was used to assess the trajectories of HRQoL over time in 199 children with CKD stage 1-5, 43 children receiving dialysis and 135 kidney transplant recipients. An interaction between CKD stage at baseline and follow-up time indicated that the slopes of the HRQoL scores differed between children by CKD stage at inception. Over half of the cohort on dialysis at baseline had received a kidney transplant by the end of year four and the MAU scores of these children increased by a meaningful amount averaging 0.05 (95% confidence interval 0.01 to 0.09) per year in comparison to those who were transplant recipients at baseline. The mean difference between baseline and year two MAU scores was 0.09 (95% confidence interval -0.05, 0.23), (Cohen's d effect size 0.31). Thus, improvement in HRQoL over time of children on dialysis at baseline was likely to have been driven by their transition from dialysis to transplantation. Additionally, children with CKD stage 1-5 and transplant recipients at baseline had no changes in their disease stage or treatment modality and experienced stable HRQoL over time.

Economic evaluation of the Communicating Healthy Beginnings Advice by Telephone trial for early childhood obesity prevention.

OBJECTIVE: This study aimed to conduct an economic evaluation of the Communicating Healthy Beginnings Advice by Telephone (CHAT) trial to prevent childhood obesity. METHODS: Cost-effectiveness analyses were conducted for the telephone and short message service (SMS) delivery of Healthy Beginnings advice, compared with usual care, which included child health services unrelated to Healthy Beginnings. Costs were valued in 2018 Australian dollars, and costs and outcomes were discounted at 5% per year. The costs of upscaling both delivery modes to all yearly births in New South Wales, Australia, were estimated and compared with the original Healthy Beginnings home-visiting intervention. RESULTS: At child age 2 years, the SMS delivery was more cost-effective ($5154 per unit BMI and $979 per 0.1 BMI z score units avoided) than the telephone delivery ($10,665 per unit BMI and $2017 per 0.1 BMI z score units avoided). The costs of upscaling the SMS ($7.64 million) and the telephone delivery modes ($37.65 million) were lower than the home-visiting intervention ($108.45 million). CONCLUSIONS: SMS delivery of Healthy Beginnings advice was more cost-effective than telephone delivery but less cost-effective than the original home-visiting approach ($4230 per unit BMI avoided, as calculated in an earlier study). Both the SMS and telephone interventions were more affordable than the home-visiting approach.

Cost-effectiveness of scaling up a whole-of-community intervention: The Romp & Chomp early childhood obesity prevention intervention.

BACKGROUND: Given the high prevalence of early childhood overweight and obesity, more evidence is required to better understand the cost-effectiveness of community-wide interventions targeting obesity prevention in children aged 0-5 years. OBJECTIVES: To assess the cost-effectiveness of the Romp & Chomp community-wide early childhood obesity prevention intervention if delivered across Australia in 2018 from a funder perspective, against a no-intervention comparator. METHODS: Intervention costs were estimated in 2018 Australian dollars. The annual Early Prevention of Obesity in Childhood micro-simulation model estimated body mass index (BMI) trajectories to age 15 years, based on end of trial data at age 3.5 years. Results from modelled cost-effectiveness analyses were presented as incremental cost-effectiveness ratios (ICERs): cost per BMI unit avoided, and cost per quality-adjusted life year (QALY) gained at age 15 years. RESULTS: All Australian children aged 0-5 years (n = 1 906 075) would receive the intervention. Total estimated intervention cost and annual cost per participant were AUD178 million and AUD93, respectively, if implemented nationally. The ICERs were AUD1 126 per BMI unit avoided and AUD26 399 per QALY gained (64% probability of being cost-effective measured against a AUD50 000 per QALY threshold). CONCLUSIONS: Romp & Chomp has a fair probability of being cost-effective if delivered at scale.

Investigating socioeconomic inequalities in BMI growth rates during childhood and adolescence.

BACKGROUND: Many countries report socioeconomic inequalities in childhood obesity, but when they develop is not well-characterised. Studies rarely isolate BMI growth rates from overall BMI, perhaps overlooking an important precursor to the observed inequalities in obesity. The objective of this study was to determine the age at which inequalities in BMI growth rates develop in children and whether they are similar across the BMI spectrum. METHODS: Using the Longitudinal Study of Australian Children (n = 9024), a cohort study, we measured socioeconomic inequalities in annual BMI growth from age 2 to 17 years by age, sex and weight status. We fit a linear model using generalised estimating equations (GEE) to estimate simultaneously the effects of age and weight status on inequalities in BMI growth rate. RESULTS: The slope (SII) and relative (RII) indexes of inequality for annual BMI growth were greatest in middle childhood (age 4-11 years) (SII 0.25, RII 1.83 (boys) 1.78 (girls)) and were moderate during adolescence (age 10-17 years) (SII 0.11, RII 1.16 [boys] 1.15 [girls]). In early childhood, there was little evidence of inequality in annual BMI growth except in children with obesity. In middle childhood and adolescence, inequalities were greater at higher weight status. The GEE indicated that both weight status (P < 0.001) and age period (P < 0.001) affected inequalities in BMI growth rates. CONCLUSIONS: Inequalities in annual BMI growth were strongest in middle childhood, and widest in children at the upper end of the BMI spectrum. This could signify a key age bracket to intervene clinically and at a public health level and improve inequalities in childhood obesity.

Systematic Review of Conceptual, Age, Measurement and Valuation Considerations for Generic Multidimensional Childhood Patient-Reported Outcome Measures.

BACKGROUND AND AIMS: Patient-reported outcome measures (PROMs) for children (aged ≤ 18 years) present methodological challenges. PROMs can be categorised by their diverse underlying conceptual bases, including functional, disability and health (FDH) status; quality of life (QoL); and health-related quality of life (HRQoL). Some PROMs are designed to be accompanied by preference weights. PROMs should account for childhood developmental differences by incorporating age-appropriate health/QoL domains, guidance on respondent type(s) and design. This systematic review aims to identify generic multidimensional childhood PROMs and synthesise their characteristics by conceptual basis, target age, measurement considerations, and the preference-based value sets that accompany them. METHODS: The study protocol was registered in the Prospective Register of Systematic Reviews (CRD42021230833), and reporting followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We conducted systematic database searches for generic multidimensional childhood PROMs covering the period 2012-2020, which we combined with published PROMs identified by an earlier systematic review that covered the period 1992-2011. A second systematic database search identified preference-based value sets for generic multidimensional PROMs. The PROMs were categorised by conceptual basis (FDH status, QoL and HRQoL) and by target age (namely infants and pre-schoolers aged < 5 years, pre-adolescents aged 5-11, adolescents aged 12-18 and multi-age group coverage). Descriptive statistics assessed how PROM characteristics (domain coverage, respondent type and design) varied by conceptual basis and age categories. Involvement of children in PROM development and testing was assessed to understand content validity. Characteristics of value sets available for the childhood generic multidimensional PROMs were identified and compared. RESULTS: We identified 89 PROMs, including 110 versions: 52 FDH, 29 QoL, 12 HRQoL, nine QoL-FDH and eight HRQoL-FDH measures; 20 targeted infants and pre-schoolers, 29 pre-adolescents, 24 adolescents and 37 for multiple age groups. Domain coverage demonstrated development trajectories from observable FDH aspects in infancy through to personal independence and relationships during adolescence. PROMs targeting younger children relied more on informant report, were shorter and had fewer ordinal scale points. One-third of PROMs were developed following qualitative research or surveys with children or parents for concept elicitation. There were 21 preference-based value sets developed by 19 studies of ten generic multidimensional childhood PROMs: seven were based on adolescents' stated preferences, seven were from adults from the perspective of or on behalf of the child, and seven were from adults adopting an adult's perspective. Diverse preference elicitation methods were used to elicit values. Practices with respect to anchoring values on the utility scale also varied considerably. The range and distribution of values reflect these differences, resulting in value sets with notably different properties. CONCLUSION: Identification and categorisation of generic multidimensional childhood PROMs and value sets by this review can aid the development, selection and interpretation of appropriate measures for clinical and population research and cost-effectiveness-based decision-making.

Relationship between obesity and school absenteeism in Australian children: Implications for carer productivity.

BACKGROUND: Economic evaluations of childhood obesity interventions are often used to assist decision making when presented with alternative course of action. Including indirect costs related to productivity losses is recommended; in children this would include school absenteeism. Our aim was to determine the association between school absenteeism and weight status among Australian children and estimate the indirect costs of this. METHODS: We used data from a nationally representative sample of 8551 Australian children in the Longitudinal study of Australian Children (LSAC) with follow-up between 2006 and 2018. A mixed-effects negative binomial regression model was used to investigate the relationship between school absenteeism and weight status, controlling for age, sex, socio-economic position, indigenous status, rural/remote status and long-term medical conditions. We used average daily wages for the year 2018 to value the indirect costs of school absenteeism (through caregiver lost productivity). RESULTS: Australian children with obesity aged 6-13 years missed on average an extra day of school annually compared to children of a healthy weight (p = 0.004), while adolescents with obesity aged 14-17 years missed on average an extra 0.69 days of school annually (p = 0.006). The estimated national cost for children with obesity aged 6-13 years was approximately $64 million AUD ($43 million USD) or $338 AUD ($230 USD) per child through caregiver lost productivity in 2018. CONCLUSIONS: There is a small but significant association between school absenteeism and childhood obesity in Australia which is estimated to generate a considerable national cost through caregiver productivity losses. Our results will assist health economists evaluating childhood obesity interventions capture the full extent of the associated costs with this condition.

Face-to-face physiotherapy compared with a supported home exercise programme for the management of musculoskeletal conditions: protocol of a multicentre, randomised controlled trial-the REFORM trial.

INTRODUCTION: Exercise, support and advice are considered core components of management for most musculoskeletal conditions and are typically provided by physiotherapists through regular face-to-face treatments. However, exercise can be provided remotely as part of a home exercise programme, while support and advice can be provided over the telephone. There is initial evidence from trials and systematic reviews to suggest that remotely provided physiotherapy can be used to manage a variety of musculoskeletal conditions safely and effectively. METHODS AND ANALYSIS: The aim of this single-blind randomised controlled non-inferiority trial is to determine whether a supported home exercise programme is as good as or better than face-to-face physiotherapy for the treatment of musculoskeletal conditions. Two hundred and ten participants will be recruited from five public hospitals in Sydney, Australia. Participants will be randomised to either the supported home exercise group or the face-to-face physiotherapy group. Participants allocated to the supported home exercise group will initially receive one face-to-face session with the trial physiotherapist and will then be managed remotely for the next 6 weeks. Participants allocated to the face-to-face physiotherapy group will receive a course of physiotherapy as typically provided in Sydney government hospitals. The primary outcome is function measured by the Patient Specific Functional Scale at 6 weeks. There will be nine secondary outcomes measured at 6 and 26 weeks. Separate analyses will be conducted on each outcome, and all analyses will be conducted on an intention-to-treat basis. A health economic evaluation will be conducted from a health funder plus patient perspective. ETHICS AND DISSEMINATION: Ethical approval was obtained on the 17 March 2017 from the Northern Sydney Local Health District HREC, trial number HREC/16HAWKE/431-RESP/16/287. The results of this study will be submitted for publication to peer-reviewed journals and be presented at national and international conferences. Recruitment commenced in March 2019, and it is anticipated that the trial will be completed by December 2021. This trial will investigate two different models of physiotherapy care for people with musculoskeletal conditions. TRIAL REGISTRATION NUMBER: CPMP/ICH-135/95. PROTOCOL VERSION: The most recent version of the protocol is V.1.2 dated November 2019.

Borrowing trouble? The impact of a systematic review service on interlibrary loan borrowing in an academic health sciences library.

BACKGROUND: With the mandate to review all available literature in the study's inclusion parameters, systematic review projects are likely to require full-text access to a significant number of articles that are not available in a library's collection, thereby necessitating ordering content via interlibrary loan (ILL). The aim of this study is to understand what effect a systematic review service has on the copyright royalty fees accompanying ILL requests at an academic health sciences library. CASE PRESENTATION: The library created a custom report using ILLiad data to look specifically at 2018 ILL borrowing requests that were known to be part of systematic reviews. This subset of borrowing activity was then analyzed to determine its impact on the library's copyright royalty expenditures for the year. In 2018, copyright eligible borrowing requests that were known to be part of systematic reviews represented only approximately 5% of total filled requests that involved copyright eligible borrowing. However, these systematic review requests directly or indirectly caused approximately 10% of all the Spencer S. Eccles Library copyright royalty expenditures for 2018 requests. CONCLUSION: Based on the sample data set, the library's copyright royalty expenditures did increase, but the overall financial impact was modest.

Cost-Effectiveness of a Novel Sleep Intervention in Infancy to Prevent Overweight in Childhood.

OBJECTIVE: The purpose of this study was to determine, from a health funder perspective, whether a sleep intervention, delivered in infancy, either alone or in combination with food, activity, and breastfeeding advice was cost-effective compared with usual care. METHODS: A cost-effectiveness analysis was conducted alongside the Prevention of Overweight in Infancy (POI) randomized controlled trial for outcomes at 5 years and cost-effectiveness was modeled to age 15 years using the Early Prevention of Obesity in Childhood microsimulation model. Intervention costs for the Sleep (n = 192), Combination (n = 196), and control (n = 209) groups were determined in 2018 Australian dollars. Incremental cost-effectiveness ratios (ICERs) were determined for BMI outcomes at 5 and 15 years, with the primary outcome being quality-adjusted life years (QALYs) modeled over 15 years. RESULTS: The average costs of the Sleep and Combination interventions were $184 and $601 per child, respectively. The ICER for the Sleep intervention was $18,125 per QALY gained, with a 74% probability of being cost-effective at a willingness-to-pay threshold of $50,000 per QALY. The ICER for the Combination intervention was $94,667 per QALY gained with a 23% probability of being cost-effective. CONCLUSIONS: The POI Sleep intervention, without additional advice, was a low-cost and cost-effective approach to reducing childhood obesity. Sleep modification programs offer a very promising approach to obesity prevention in children.

Impact of overweight and obesity on life expectancy, quality-adjusted life years and lifetime costs in the adult population of Ghana.

INTRODUCTION: Prior studies have revealed the increasing prevalence of obesity and its associated health effects among ageing adults in resource poor countries. However, no study has examined the long-term and economic impact of overweight and obesity in sub-Saharan Africa. Therefore, we quantified the long-term impact of overweight and obesity on life expectancy (LE), quality-adjusted life years (QALYs) and total direct healthcare costs. METHODS: A Markov simulation model projected health and economic outcomes associated with three categories of body mass index (BMI): healthy weight (18.5≤BMI <25.0); overweight (25.0≤BMI < 30.0) and obese (BMI ≥30.0 kg/m2) in simulated adult cohorts over a 50-year time horizon from age fifty. Costs were estimated from government and patient perspectives, discounted 3% annually and reported in 2017 US$. Mortality rates from Ghanaian lifetables were adjusted by BMI-specific all-cause mortality HRs. Published input data were used from the 2014/2015 Ghana WHO Study on global AGEing and adult health data. Internal and external validity were assessed. RESULTS: From age 50 years, average (95% CI) remaining LE for females were 25.6 (95% CI: 25.4 to 25.8), 23.5 (95% CI: 23.3 to 23.7) and 21.3 (95% CI: 19.6 to 21.8) for healthy weight, overweight and obesity, respectively. In males, remaining LE were healthy weight (23.0; 95% CI: 22.8 to 23.2), overweight (20.7; 95% CI: 20.5 to 20.9) and obesity (17.6; 95% CI: 17.5 to 17.8). In females, QALYs for healthy weight were 23.0 (95% CI: 22.8 to 23.2), overweight, 21.0 (95% CI: 20.8 to 21.2) and obesity, 19.0 (95% CI: 18.8 to 19.7). The discounted total costs per female were US$619 (95% CI: 616 to 622), US$1298 (95% CI: 1290 to 1306) and US$2057 (95% CI: 2043 to 2071) for healthy weight, overweight and obesity, respectively. QALYs and costs were lower in males. CONCLUSION: Overweight and obesity have substantial health and economic impacts, hence the urgent need for cost-effective preventive strategies in the Ghanaian population.

Cost comparison of five Australasian obesity prevention interventions for children aged from birth to two years.

BACKGROUND: In the absence of rigorous evidence of cost-effectiveness for early childhood obesity prevention interventions, the next-best option may be for decision-makers to consider the relevant costs of interventions when allocating resources. OBJECTIVES: This study aimed to estimate systematically the cost of five obesity prevention interventions in children aged 0-2 years, undertaken in research settings in Australia and New Zealand. METHODS: A standardised costing protocol informed the costing methodology, ensuring comparability of results across interventions. Micro-costing was undertaken, with intervention costs defined from the funder perspective and valued in 2018 Australian dollars using unit costs from the trials or market rates. RESULTS: Interventions varied widely in their resource use. The total cost per participant ranged from $80 for the CHAT SMS intervention arm (95% UI $77-$82) to $1135 for the Healthy Beginnings intervention (95% UI $1059-$1189). Time costs of personnel delivering interventions contributed >50% of total intervention costs for all included studies. CONCLUSIONS: An understanding of the costs associated with intervention delivery modes is important, alongside effectiveness. Telephone delivery may include unexpected costs associated with connection to intervention participants at convenient times. A SMS-based intervention had the lowest delivery cost in this study.

Estimating Age- and Sex-Specific Utility Values from the CHU9D Associated with Child and Adolescent BMI z-Score.

OBJECTIVE: Our objective was to identify age- and sex-specific utilities for children and adolescents by body mass index (BMI) z-score. METHODS: We used data from 6822 participants and 12,094 observations from two cohorts and two waves of interviews from the Longitudinal Study of Australian Children. We fit linear models using generalised estimating equations to investigate associations between Child Health Utility 9D and BMI z-score in girls and boys aged 10-17 years. We initially fit models for each sex, fully adjusted for known predictors of health-related quality of life, including socioeconomic position, long-term medical condition and maternal smoking status and also included an interaction between age and BMI z-score to examine age-specific effects. Finally, we derived a minimal model for each sex by eliminating interaction terms with P > 0.01 and predictors with P > 0.05. RESULTS: Our adjusted results show different utility patterns in girls and boys. In girls, utility decrements for each unit increase in BMI z-score changed with age (P < 0.01 for interaction between age and BMI z-score). At age 10 years, the mean utility decrement for each unit increase in BMI z-score was 0.002 (95% confidence interval [CI] 0.011 decrement to 0.006 increment), but, by age 17 years, this utility decrement was 0.023 (95% CI 0.013 to 0.032). In boys, small non-significant decrements were found in utility for each unit increase in BMI z-score, with no observable change with age. CONCLUSION: Our analyses demonstrated that age and sex should be considered when attributing utility values and decrements to BMI z-scores.

Linking two randomised controlled trials for Healthy Beginnings©: optimising early obesity prevention programs for children under 3 years.

BACKGROUND: Beginning in 2017 we have conducted a 3-arm randomised controlled trial (RCT) to determine the effectiveness of an early obesity intervention in the first two years of life using either telephone or Short Message Service (SMS) support for mothers. The trial recruited 1155 mothers from their third trimester of pregnancy. This protocol is for a new trial to build on the existing trial using the mother-child dyads retained at 24 months for recruitment to the new RCT. The aim of this new trial is to test whether use of a combination of telephone and SMS interventions is effective in promoting healthy eating and physical activity, as well as reducing child body mass index (BMI) at 3 years of age. METHODS: We will conduct a parallel RCT with an estimated sample of 750 mother-child dyads retained from the existing trial at 24 months. Mothers who completed the 24 months survey, including a telephone survey and measurement of child's height and weight will be invited to participate in the new trial. Informed consent will be obtained at the 24 months survey. The participating mother-child dyads will then be randomly allocated to the intervention (combined telephone and text messaging intervention) or the control group. The intervention will comprise three staged telephone consultations and text messages after each of the three intervention booklets is mailed to mothers at specific time-points between two and three years of child age. The main trial outcome measures include a) BMI and BMI z-score measured at 36 months, b) diet, physical activity and screen time c) cost-effectiveness, and d) feasibility and acceptability of the intervention. DISCUSSION: This unique opportunity to link two studies will expedite project start up time, utilise existing research infrastructure and systems to run the study, and optimise the use of an already engaged population of study participants. It can address a significant knowledge gap regarding early obesity prevention for children aged 2 to 3 years. The feasibility and effectiveness of the combined telephone and SMS intervention will indicate whether this is a scaleable, broad-reach and low-cost early obesity intervention. TRIAL REGISTRATION: The trial was registered with the Australian Clinical Trial Registry ( ACTRN12618001571268 ) on 20/09/2018.