MATERNAL EMPLOYMENT AND THE COST OF CHILDCARE IN IRELAND. ESRI RESEARCH SERIES NUMBER 73 SEPTEMBER 2018

Childcare has become an increasingly salient issue for Irish society as the proportion of women with young children in the workforce has grown over recent decades. International comparisons of the price of formal care for preschool children indicate that Ireland has one of the highest costs as a proportion of household income across the OECD. The costs of childcare are frequently invoked as a barrier to maternal employment, especially for low-income groups and lone parents. However, there are relatively few systematic analyses of the real costs for families or of how these costs influence employment outcomes for mothers. This study draws on information from the Growing Up in Ireland (GUI) Survey to investigate childcare costs for children up to the age of five, with a particular focus on costs at age three before children enter the school system, which is the peak period for participation in non-parental childcare in terms of both the numbers of children and hours of childcare. The GUI is the largest source of nationally representative data on the types and costs of childcare for pre-school children in Ireland

Attitudes to Diversity in Ireland. ESRI Research Series, March 2018

Traditionally a country of emigration, rapid immigration during the economic boom has meant that Ireland has become considerably more diverse in terms of national and ethnic origin in recent decades. Increasing diversity can challenge existing ideas about national identity and culture and may influence attitudes to immigrants and immigration. Using evidence from the European Social Survey, this study considers whether attitudes to immigration in Ireland have changed among the Irish-born population since 2002. Exploiting a special module of the European Social Survey in 2014, it investigates Irish attitudes to Muslims and Roma immigrants. The report also examines beliefs about racial and cultural superiority among Irish people, and the quality and frequency of their contact with those of a different race/ethnic group in 2014. The results for Ireland are compared with averages from ten other West European countries to set Ireland in comparative context. Drawing on theories of social identity, ethnic group competition and social contact, the report also examines how such attitudes are formed – are they influenced by factors such as social contact, attitudes to race/ethnicity, education and financial difficulties

Who experiences discrimination in Ireland? Evidence from the QNHS Equality Modules. ESRI Research Series, 2017

This report seeks to measure the experience of discrimination in Ireland and how this varies across social groups. The study is based on individuals’ own reports of discrimination in the labour market and while accessing goods or services.5 Discrimination is understood here as a situation in which individuals believe they are treated differently due to their membership of specific groups – that is, because of who they are, for example: young or old, male or female, with or without a disability. Discrimination is thus the lived experience of unequal treatment ‘on the ground’, as reported by the individuals who experience it

The association of types of training and practice settings with doctors’ empathy and patient enablement among patients with chronic illness in Hong Kong

Background: The increase in non-communicable disease (NCD) is becoming a global health problem and there is an increasing need for primary care doctors to look after these patients although whether family doctors are adequately trained and prepared is unknown. Objective: This study aimed to determine if doctors with family medicine (FM) training are associated with enhanced empathy in consultation and enablement for patients with chronic illness as compared to doctors with internal medicine training or without any postgraduate training in different clinic settings. Methods: This was a cross-sectional questionnaire survey using the validated Chinese version of the Consultation and Relational Empathy (CARE) Measure as well as Patient Enablement Instrument (PEI) for evaluation of quality and outcome of care. 14 doctors from hospital specialist clinics (7 with family medicine training, and 7 with internal medicine training) and 13 doctors from primary care clinics (7 with family medicine training, and 6 without specialist training) were recruited. In total, they consulted 823 patients with chronic illness. The CARE Measure and PEI scores were compared amongst doctors in these clinics with different training background: family medicine training, internal medicine training and those without specialist training. Generalized estimation equation (GEE) was used to account for cluster effects of patients nested with doctors. <b>Results</b> Within similar clinic settings, FM trained doctors had higher CARE score than doctors with no FM training. In hospital clinics, the difference of the mean CARE score for doctors who had family medicine training (39.2, SD = 7.04) and internal medicine training (35.5, SD = 8.92) was statistically significant after adjusting for consultation time and gender of the patient. In the community care clinics, the mean CARE score for doctors with family medicine training and those without specialist training were 32.1 (SD = 7.95) and 29.2 (SD = 7.43) respectively, but the difference was not found to be significant. For PEI, patients receiving care from doctors in the hospital clinics scored significantly higher than those in the community clinics, but there was no significant difference in PEI between patients receiving care from doctors with different training backgrounds within similar clinic setting. Conclusion: Family medicine training was associated with higher patient perceived empathy for chronic illness patients in the hospital clinics. Patient enablement appeared to be associated with clinic settings but not doctors’ training background. Training in family medicine and a clinic environment that enables more patient doctor time might help in enhancing doctors’ empathy and enablement for chronic illness patients

The incurable self: Negotiating social bonds and dis/connection with metastatic breast cancer

As the culture of silence that once surrounded cancer has gradually given way to greater public awareness, normative visions of what cancer survivorship should entail have proliferated. These visions emphasise positivity and perseverance in pursuit of cure. While these visions provide comfort to many, for people with metastatic cancer the emphasis on cure can undermine their sense of belonging to the broader collective of people living-with cancer. Drawing on semi-structured interviews with 38 Australian women living with metastatic breast cancer, we explore how incurable cancer inflects understandings of self and transforms interpersonal relationships. Extending ideas around biosociality and belonging, we explore the tenuousness of social bonds, revealing how (in)visibility, (in)authenticity and (in)validation circulate within the daily lives of women with metastatic breast cancer. We conceptualise accounts according to four social bonds: (1) threatened bonds where a relationship is strained by misunderstanding, (2) severed bonds where a relationship is ruptured due to misunderstanding, (3) attuned bonds whereby a relationship is based on shared identification, and (4) flexible social bonds when a relationship is based on mutual understanding. More broadly, we illustrate the persistence of normative visions of cancer survivorship and their enduring effects on those whom such visions exclude

Starting out in STEM : a study of young men and women in first year science, technology, engineering and mathematics courses

In late 2011, first year university students in science, technology, engineering and mathematics (STEM) courses across Australia were invited to participate in the international Interests and Recruitment in Science (IRIS) study. IRIS investigates the influences on young people\u27s decisions to choose university STEM courses and their subsequent experiences of these courses. The study also has a particular focus on the motivations and experiences of young women in courses such as physics, IT and engineering given the low rates of female participation in these fields. Around 3500 students from 30 Australian universities contributed their views on the relative importance of various school and non-school influences on their decisions, as well as insights into their experiences of university STEM courses so far. It is hoped that their contributions will help improve recruitment, retention and gender equity in STEM higher education and careers

The social meanings of choice in living-with advanced breast cancer

Individual choice is valorised as a core social value; yet the necessity and desirability of making choices takes on new significance for people living with incurable cancer who are required to make often difficult decisions about treatment, care and family life, amidst considerable vulnerability and precariousness. There has been comparatively little exploration of how choice is negotiated and made meaningful under the spectre of incurability and a contracted future. In this paper, drawing on multiple qualitative interviews with 38 women with metastatic breast cancer, we explore how they experience and give meaning to choice in relation to their health (and beyond) in their daily lives. Our analysis highlights that while exercising choice was sometimes a concealed or silent pursuit, choice was always a socially negotiated and temporally unfolding process, nested within relational and interpersonal dynamics. Choices were also often constrained, even foreclosed, due to situational and relational dynamics. Yet even in the absence of choice, the idea of choice-as-control was discursively embraced by women. We argue that greater attention is needed to the affective, temporal and economic dimensions of choice, and how treatment decisions are asymmetrically structured when considered within the normative context of cancer

Rapid detection of mobilized colistin resistance using a nucleic acid based lab-on-a-chip diagnostic system

The increasing prevalence of antimicrobial resistance is a serious threat to global public health. One of the most concerning trends is the rapid spread of Carbapenemase-Producing Organisms (CPO), where colistin has become the last-resort antibiotic treatment. The emergence of colistin resistance, including the spread of mobilized colistin resistance (mcr) genes, raises the possibility of untreatable bacterial infections and motivates the development of improved diagnostics for the detection of colistin-resistant organisms. This work demonstrates a rapid response for detecting the most recently reported mcr gene, mcr−9, using a portable and affordable lab-on-a-chip (LoC) platform, offering a promising alternative to conventional laboratory-based instruments such as real-time PCR (qPCR). The platform combines semiconductor technology, for non-optical real-time DNA sensing, with a smartphone application for data acquisition, visualization and cloud connectivity. This technology is enabled by using loop-mediated isothermal amplification (LAMP) as the chemistry for targeted DNA detection, by virtue of its high sensitivity, specificity, yield, and manageable temperature requirements. Here, we have developed the first LAMP assay for mcr−9 - showing high sensitivity (down to 100 genomic copies/reaction) and high specificity (no cross-reactivity with other mcr variants). This assay is demonstrated through supporting a hospital investigation where we analyzed nucleic acids extracted from 128 carbapenemase-producing bacteria isolated from clinical and screening samples and found that 41 carried mcr−9 (validated using whole genome sequencing). Average positive detection times were 6.58 ± 0.42 min when performing the experiments on a conventional qPCR instrument (n = 41). For validating the translation of the LAMP assay onto a LoC platform, a subset of the samples were tested (n = 20), showing average detection times of 6.83 ± 0.92 min for positive isolates (n = 14). All experiments detected mcr−9 in under 10 min, and both platforms showed no statistically significant difference (p-value > 0.05). When sample preparation and throughput capabilities are integrated within this LoC platform, the adoption of this technology for the rapid detection and surveillance of antimicrobial resistance genes will decrease the turnaround time for DNA detection and resistotyping, improving diagnostic capabilities, patient outcomes, and the management of infectious diseases

Coupling Machine Learning and High Throughput Multiplex Digital PCR Enables Accurate Detection of Carbapenem-Resistant Genes in Clinical Isolates

Rapid and accurate identification of patients colonised with carbapenemase-producing organisms (CPOs) is essential to adopt prompt prevention measures to reduce the risk of transmission. Recent studies have demonstrated the ability to combine machine learning (ML) algorithms with real-time digital PCR (dPCR) instruments to increase classification accuracy of multiplex PCR assays when using synthetic DNA templates. We sought to determine if this novel methodology could be applied to improve identification of the five major carbapenem-resistant genes in clinical CPO-isolates, which would represent a leap forward in the use of PCR-based data-driven diagnostics for clinical applications. We collected 253 clinical isolates (including 221 CPO-positive samples) and developed a novel 5-plex PCR assay for detection of blaIMP, blaKPC, blaNDM, blaOXA-48, and blaVIM. Combining the recently reported ML method "Amplification and Melting Curve Analysis" (AMCA) with the abovementioned multiplex assay, we assessed the performance of the AMCA methodology in detecting these genes. The improved classification accuracy of AMCA relies on the usage of real-time data from a single-fluorescent channel and benefits from the kinetic/thermodynamic information encoded in the thousands of amplification events produced by high throughput real-time dPCR. The 5-plex showed a lower limit of detection of 10 DNA copies per reaction for each primer set and no cross-reactivity with other carbapenemase genes. The AMCA classifier demonstrated excellent predictive performance with 99.6% (CI 97.8-99.9%) accuracy (only one misclassified sample out of the 253, with a total of 160,041 positive amplification events), which represents a 7.9% increase (p-value <0.05) compared to conventional melting curve analysis. This work demonstrates the use of the AMCA method to increase the throughput and performance of state-of-the-art molecular diagnostic platforms, without hardware modifications and additional costs, thus potentially providing substantial clinical utility on screening patients for CPO carriage