222,031 research outputs found
Researching difficult-to-reach and vulnerable groups using grounded theory methods
This case study describes a research project that used grounded theory methods. The aim of this research was to develop new knowledge about how parents experience their offspring’s problematic drug use. Unstructured interviews were used during the data-gathering phase of the research, and data were collected in two distinct periods. The case study is divided into four sections. Section 1 outlines the approaches used to find and recruit research participants. This section also describes how I engaged with the participants in ways that I hoped would encourage participation and build a rapport. Section 2 outlines significant life events that some of the research participants experienced and the importance of working sensitively with vulnerable participants and how this can contribute to your research endeavor. This section also highlights some of the ethical issues that need to be negotiated during the fieldwork phase of a research project. Section 3 describes the methods used during the data collection and data analysis stages of the project. The processes involved are broken down with each stage being explained. The process is presented as a linear model; however, in grounded theory, it is possible to move back and forth between stages, and the benefits this may bring are explained in this section. Finally, Section 4 offers a reflexive account of the research journey. Reflexivity is an important aspect of qualitative research and this section highlights why it is important
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Emotional health in adolescents with and without a history of specific language impairment (SLI)
Objective:  This study examined the emotional health of adolescents with and without specific language impairment (SLI).
Method:  One hundred and thirty-nine adolescents with a history of SLI (15;10 years) and a peer group of 124 adolescents with normal language development (NLD) (15;11 years) participated, who were in their final year of compulsory schooling. The risk of emotional difficulties was assessed using the Moods and Feelings Questionnaire (MFQ) and the Child Manifest Anxiety Scale-R (CMAS-R). Comprehensive language and cognition data were available for all participants (NLD and SLI) concurrently and also longitudinally for those with SLI.
Results:  A clear increased risk of emotional health symptoms was found for the SLI group on both self- and parental-report. Girls scored less favourably than boys when groups were combined, but these were due to the effect of the NLD group, with no gender differences found in the SLI group. Direct links with language and cognition were not obvious. Instead, more diffuse factors such as family history of emotional health difficulties may warrant further investigation.
Conclusion:  There is a marked higher rate of anxiety and depression symptoms in adolescents with SLI. However, these do not appear to be a direct result of impoverished communicative experiences
The influence of patient and doctor gender on diagnosing coronary heart disease
Using novel methods, this paper explores sources of uncertainty and gender bias in primary care doctors’ diagnostic decision making about coronary heart disease (CHD). Claims about gendered consultation styles and quality of care are re-examined, along with the adequacy of CHD models for women.
Randomly selected doctors in the UK and the US (n=112, 56 per country, stratified by gender) were shown standardised videotaped vignettes of actors portraying patients with CHD. ‘Patients’ age, gender, ethnicity and social class were varied systematically. During interviews, doctors gave free-recall accounts of their decision making, which were analysed to determine patient and doctor gender effects.
We found differences in male and female doctors’ responses to different types of patient information. Female doctors recall more patient cues overall, particularly about history presentation, and particularly amongst women. Male doctors appear less affected by patient gender but both male and especially female doctors take more account of male patients’ age and consider more age-related disease possibilities for men than women. Findings highlight the need for better integration of knowledge about female presentations within accepted CHD risk models, and do not support the contention that women receive better quality care from female doctors
Combining genomics and epidemiology to track mumps virus transmission in the United States.
Unusually large outbreaks of mumps across the United States in 2016 and 2017 raised questions about the extent of mumps circulation and the relationship between these and prior outbreaks. We paired epidemiological data from public health investigations with analysis of mumps virus whole genome sequences from 201 infected individuals, focusing on Massachusetts university communities. Our analysis suggests continuous, undetected circulation of mumps locally and nationally, including multiple independent introductions into Massachusetts and into individual communities. Despite the presence of these multiple mumps virus lineages, the genomic data show that one lineage has dominated in the US since at least 2006. Widespread transmission was surprising given high vaccination rates, but we found no genetic evidence that variants arising during this outbreak contributed to vaccine escape. Viral genomic data allowed us to reconstruct mumps transmission links not evident from epidemiological data or standard single-gene surveillance efforts and also revealed connections between apparently unrelated mumps outbreaks
Image Characterization and Classification by Physical Complexity
We present a method for estimating the complexity of an image based on
Bennett's concept of logical depth. Bennett identified logical depth as the
appropriate measure of organized complexity, and hence as being better suited
to the evaluation of the complexity of objects in the physical world. Its use
results in a different, and in some sense a finer characterization than is
obtained through the application of the concept of Kolmogorov complexity alone.
We use this measure to classify images by their information content. The method
provides a means for classifying and evaluating the complexity of objects by
way of their visual representations. To the authors' knowledge, the method and
application inspired by the concept of logical depth presented herein are being
proposed and implemented for the first time.Comment: 30 pages, 21 figure
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