Policy is not enough – the influence of the gendered workplace on fathers’ use of parental leave in Sweden

Paid parental leave for fathers is a promising social policy tool for degendering the division of labor for childcare. Swedish fathers have had the right to paid parental leave since 1974, but they take only one-fourth of leave days parents take. There are strong cultural norms supporting involved fatherhood, so couples typically want to share leave more than they do. This article explores how workplaces can constrain Swedish fathers’ use of state leave policy, in ways that fathers can take for granted, a topic that has received less attention than individual or family-related obstacles. Based on interviews with 56 employees in five large private companies, we found that masculine workplace norms can make it difficult for fathers to choose to take much leave, while aspects of traditional workplace structure building on these norms can negatively affect fathers’ capabilities of taking much leave. Workplace culture and structure seemed to be based on assumptions that the ideal worker should prioritize work and has limited caregiving responsibilities, setting limits to fathers’ ability to share leave with mothers. Gender theorists suggest such assumptions persist because of male dominance at the workplace and the endurance of gendered assumptions about the roles of men and women

“It’s About Time!”: Company Support for Fathers’ Entitlement to Reduced Work Hours in Sweden

Fifteen nations offer fathers the right to reduce work hours to care for children. Incorporating a gender perspective, this study uses a mixed-methods approach to examine the implementation of this policy in the first nation to offer it, Sweden. It investigates whether the institutional and cultural environment exerts pressure on companies to facilitate fathers' hours reduction, companies' levels of support for fathers' use of this entitlement and correlates of company support. The persistence of the “male model of work” appears to be an important barrier to implementation of a policy that offers promise in offering fathers time to care

BindingDB in 2015: A public database for medicinal chemistry, computational chemistry and systems pharmacology.

BindingDB, www.bindingdb.org, is a publicly accessible database of experimental protein-small molecule interaction data. Its collection of over a million data entries derives primarily from scientific articles and, increasingly, US patents. BindingDB provides many ways to browse and search for data of interest, including an advanced search tool, which can cross searches of multiple query types, including text, chemical structure, protein sequence and numerical affinities. The PDB and PubMed provide links to data in BindingDB, and vice versa; and BindingDB provides links to pathway information, the ZINC catalog of available compounds, and other resources. The BindingDB website offers specialized tools that take advantage of its large data collection, including ones to generate hypotheses for the protein targets bound by a bioactive compound, and for the compounds bound by a new protein of known sequence; and virtual compound screening by maximal chemical similarity, binary kernel discrimination, and support vector machine methods. Specialized data sets are also available, such as binding data for hundreds of congeneric series of ligands, drawn from BindingDB and organized for use in validating drug design methods. BindingDB offers several forms of programmatic access, and comes with extensive background material and documentation. Here, we provide the first update of BindingDB since 2007, focusing on new and unique features and highlighting directions of importance to the field as a whole

Jack of All, Master of Some: The Contingent Effect of Knowledge Breadth on Innovation

This study investigates how individuals’ knowledge structure affects their new product ideation outcome. Because individuals who possess diverse knowledge can potentially create more novel recombination, broad knowledge has been touted as the key driver of innovation. Yet, a shallow grasp of a wide array of knowledge might be sufficient to generate novel ideas but are insufficient to produce innovative ideas that should also be useful and economically feasible. Deep knowledge complements broad knowledge by aiding individuals to effectively combine diverse set of knowledge and to identify constraints of potential solutions. Consequently, individuals with both broad and deep knowledge are expected to outperform those who only possess broad knowledge in innovation tasks. Our findings in a new product idea crowdsourcing community are consistent with our predictions: knowledge breadth feeds into novelty of ideas, but its effect on usefulness and innovativeness of ideas is contingent on the presence of deep knowledge

Predicting health-related social needs in Medicaid and Medicare populations using machine learning

Providers currently rely on universal screening to identify health-related social needs (HRSNs). Predicting HRSNs using EHR and community-level data could be more efficient and less resource intensive. Using machine learning models, we evaluated the predictive performance of HRSN status from EHR and community-level social determinants of health (SDOH) data for Medicare and Medicaid beneficiaries participating in the Accountable Health Communities Model. We hypothesized that Medicaid insurance coverage would predict HRSN status. All models significantly outperformed the baseline Medicaid hypothesis. AUCs ranged from 0.59 to 0.68. The top performance (AUC = 0.68 CI 0.66-0.70) was achieved by the any HRSNs outcome, which is the most useful for screening prioritization. Community-level SDOH features had lower predictive performance than EHR features. Machine learning models can be used to prioritize patients for screening. However, screening only patients identified by our current model(s) would miss many patients. Future studies are warranted to optimize prediction of HRSNs

Computer-based tools for assessing micro-longitudinal patterns of cognitive function in older adults

Patterns of cognitive change over micro-longitudinal timescales (i.e., ranging from hours to days) are associated with a wide range of age-related health and functional outcomes. However, practical issues with conducting high-frequency assessments make investigations of micro-longitudinal cognition costly and burdensome to run. One way of addressing this is to develop cognitive assessments that can be performed by older adults, in their own homes, without a researcher being present. Here, we address the question of whether reliable and valid cognitive data can be collected over micro-longitudinal timescales using unsupervised cognitive tests.In study 1, 48 older adults completed two touchscreen cognitive tests, on three occasions, in controlled conditions, alongside a battery of standard tests of cognitive functions. In study 2, 40 older adults completed the same two computerized tasks on multiple occasions, over three separate week-long periods, in their own homes, without a researcher present. Here, the tasks were incorporated into a wider touchscreen system (Novel Assessment of Nutrition and Ageing (NANA)) developed to assess multiple domains of health and behavior. Standard tests of cognitive function were also administered prior to participants using the NANA system.Performance on the two “NANA” cognitive tasks showed convergent validity with, and similar levels of reliability to, the standard cognitive battery in both studies. Completion and accuracy rates were also very high. These results show that reliable and valid cognitive data can be collected from older adults using unsupervised computerized tests, thus affording new opportunities for the investigation of cognitive function

Barriers to primary care responsiveness to poverty as a risk factor for health

<p>Abstract</p> <p>Background</p> <p>Poverty is widely recognized as a major determinant of poor health, and this link has been extensively studied and verified. Despite the strong evidentiary link, little work has been done to determine what primary care health providers can do to address their patients' income as a risk to their health. This qualitative study explores the barriers to primary care responsiveness to poverty as a health issue in a well-resourced jurisdiction with near-universal health care insurance coverage.</p> <p>Methods</p> <p>One to one interviews were conducted with twelve experts on poverty and health in primary care in Ontario, Canada. Participants included family physicians, specialist physicians, nurse practitioners, community workers, advocates, policy experts and researchers. The interviews were analysed for anticipated and emergent themes.</p> <p>Results</p> <p>This study reveals provider- and patient-centred structural, attitudinal, and knowledge-based barriers to addressing poverty as a risk to health. While many of its findings reinforce previous work in this area, this study's findings point to a number of areas front line primary care providers could target to address their patients' poverty. These include a lack of provider understanding of the lived reality of poverty, leading to a failure to collect adequate data about patients' social circumstances, and to the development of inappropriate care plans. Participants also pointed to prejudicial attitudes among providers, a failure of primary care disciplines to incorporate approaches to poverty as a standard of care, and a lack of knowledge of concrete steps providers can take to address patients' poverty.</p> <p>Conclusions</p> <p>While this study reinforces, in a well-resourced jurisdiction such as Ontario, the previously reported existence of significant barriers to addressing income as a health issue within primary care, the findings point to the possibility of front line primary care providers taking direct steps to address the health risks posed by poverty. The consistent direction and replicability of these findings point to a refocusing of the research agenda toward an examination of interventions to decrease the health impacts of poverty.</p