We use administrative personnel records of a large British financial sector employer to investigate how workers' behaviour responds to remuneration differences and 'luck' in the promotion system. The main methodological innovation is the use of the early part of a panel dataset to construct an individual specific measure of the importance of luck in the promotion process. The measure of luck is used to analyse workers' behaviour in the later part of the panel.The substantive results should probably be treated with caution until confirmed by evidence from other firms and contexts. In a nutshell, we confirm that workers respond to larger remuneration spreads by working harder. They are not prepared to work so hard, though, if the promotion system operates in an unpredictable fashion.Our evidence also bears on behavioural differences between men and women, and between workers at different levels of the hierarchy. We are unable to detect any difference between men's and women's reactions to the incentives provided by pay and promotion. The large and robust gender differences displayed in the raw data are therefore not due to incentives. We need to look elsewhere for an explanation. Similarly large and robust differences in absence behaviour between different levels of the hierarchy are actually reversed when the effect of incentives is factored out.
BackgroundPopulation-based funding formulae act as an important means of promoting equitable health funding structures. To evaluate how policy makers in different jurisdictions construct health funding formulae and build an understanding of contextual influences underpinning formula construction we carried out a comparative analysis of key components of funding formulae across seven high-income and predominantly publically financed health systems: New Zealand, England, Scotland, the Netherlands, the state of New South Wales in Australia, the Canadian province of Ontario, and the city of Stockholm, Sweden.MethodsCore components from each formula were summarised and key similarities and differences evaluated from a compositional perspective. We categorised approaches to constructing funding formulae under three main themes: identifying factors which predict differential need amongst populations; adjusting for cost factors outside of needs factors; and engaging in normative correction of allocations for ‘unmet’ need.ResultsWe found significant congruence in the factors used to guide need and cost adjustments. However, there is considerable variation in interpretation and implementation of these factors.ConclusionDespite broadly similar frameworks, there are distinct differences in the composition of the formulae across the seven health systems. Ultimately, the development of funding formulae is a dynamic process, subject to availability of data reflecting health needs, the influence of wider socio-political objectives and health system determinants.
The prevalence of obesity appears to be declining in 4-year-old children in New Zealand across all socio-economic and ethnic groups.
Philip Campbell Hill and colleagues propose using a health needs assessment framework, research tools, and a strategy for clinical evaluation to help better manage child contacts of adult TB cases.
IMPORTANCE Although antibiotics are associated with obesity in animal models, the evidence in humans is conflicting. OBJECTIVE To assess whether antibiotic exposure during pregnancy and/or early childhood is associated with the development of childhood obesity, focusing particularly on siblings and twins. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional national study included 284 211 participants (132 852 mothers and 151 359 children) in New Zealand. Data analyses were performed for 150 699 children for whom data were available, 30 696 siblings, and 4188 twins using covariateadjusted analyses, and for 6249 siblings and 522 twins with discordant outcomes using fixedeffects analyses. Data analysis was performed November 2017 to March 2019. EXPOSURE Exposure to antibiotics during pregnancy and/or early childhood. MAIN OUTCOMES AND MEASURES The main outcome is odds of obesity at age 4 years. Anthropometric data from children born between July 2008 and June 2011 were obtained from the B4 School Check, a national health screening program that records the height and weight of 4-year-old children in New Zealand. These data were linked to antibiotics (pharmaceutical records) dispensed to women before conception and during all 3 trimesters of pregnancy and to their children from birth until age 2 years. RESULTS The overall study population consisted of 132 852 mothers and 151 359 children (77 610 [51.3%] boys) who were aged 4 to 5 years when their anthropometrical measurements were assessed. Antibiotic exposure was common, with at least 1 course dispensed to 35.7% of mothers during pregnancy and 82.3% of children during the first 2 years of life. Results from covariateadjusted analyses showed that both prenatal and early childhood exposures to antibiotics were independently associated with obesity at age 4 years, in a dose-dependent manner. Every additional course of antibiotics dispensed to the mothers yielded an adjusted odds ratio (aOR) of obesity in their children (siblings) of 1.02 (95% CI, 0.99-1.06), which was similar to the odds across pregnancy for the whole population (aOR, 1.06; 95% CI, 1.04-1.07). For the child's exposure, the aOR for the association between antibiotic exposure and obesity was 1.04 (95% CI, 1.03-1.05) among siblings and 1.05 (95% CI, 1.02-1.09) among twins. However, fixed-effects analyses of siblings and twins showed no associations between antibiotic exposure and obesity, with aORs of 0.95 (95% CI, 0.90-1.00) for maternal exposure, 1.02 (95% CI, 0.99-1.04) for child's exposure, and 0.91 (95% CI, 0.81-1.02) for twins' exposure. CONCLUSIONS AND RELEVANCE Although covariate-adjusted analyses demonstrated an association between antibiotic exposure and odds of obesity, further analyses of siblings and twins (continued) Key Points Question Is antibiotic exposure during pregnancy and/or during early childhood associated with the development of childhood obesity? Findings This cross-sectional national study of 284 211 participants (132 852 mothers and 151 359 children) in New Zealand found that...
Background: Parents of children and adolescents diagnosed with autism spectrum disorder (ASD) report delays in accessing timely diagnostic and treatment services for their children. Research has generally focused on parents’ experiences in caring for a child diagnosed with ASD. This study describes the process of how parents access ASD services for their children and adolescents. Method: This study used a qualitative research design that was informed by grounded theory methodology. We used constant comparative analysis to develop a process model and a core concept. Results: Seventeen parents of children and adolescents diagnosed with ASD were interviewed. Our process model included 3 main phases: Watchful waiting (noticing suspected behaviors, and searching for assessment and diagnosis); Informed waiting (receiving the diagnosis, facing challenges in accessing treatment services, and realizing the impact of an ASD diagnosis); and Contemplative waiting (pondering the future, reflecting on the past, and making recommendations). “Managing the Wait” was identified as the core category central to parents’ experience of this process. This process was found to be impacted by socioeconomic status, parents’ skills and capacity to advocate on their child’s behalf, and severity of their child’s ASD. Conclusions: Our findings illustrate the many barriers families face during their journey in accessing ASD services. Our results illustrate the need to address wait times for services, and provide education and support services for parents as a means of improving their self-advocacy skills, especially for parents of children and adolescents with severe disability.
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