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Why we dehumanize illegal immigrants: A US mixed-methods study.

ABSTRACT: Dehumanization is a topic of significant interest for academia and society at large. Empirical studies often have people rate the evolved nature of outgroups and prior work suggests immigrants are common victims of less-than-human treatment. Despite existing work that suggests who dehumanizes particular outgroups and who is often dehumanized, the extant literature knows less about why people dehumanize outgroups such as immigrants. The current work takes up this opportunity by examining why people dehumanize immigrants said to be illegal and how measurement format affects dehumanization ratings. Participants (N = 672) dehumanized such immigrants more if their ratings were made on a slider versus clicking images of hominids, an effect most pronounced for Republicans. Dehumanization was negatively associated with warmth toward illegal immigrants and the perceived unhappiness felt by illegal immigrants from U.S. immigration policies. Finally, most dehumanization is not entirely blatant but instead, captured by virtuous violence and affect as well, suggesting the many ways that dehumanization can manifest as predicted by theory. This work offers a mechanistic account for why people dehumanize immigrants and addresses how survey measurement artifacts (e.g., clicking on images of hominids vs. using a slider) affect dehumanization rates. We discuss how these data extend dehumanization theory and inform empirical research.

SUBMITTER: Markowitz DM

PROVIDER: S-EPMC8496814 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundDiagnostic errors pose significant health risks and contribute to patient mortality. With the growing accessibility of electronic health records, machine learning models offer a promising avenue for enhancing diagnosis quality. Current research has primarily focused on a limited set of diseases with ample training data, neglecting diagnostic scenarios with limited data availability.ObjectiveThis study aims to develop an information retrieval (IR)-based framework that accommodates data sparsity to facilitate broader diagnostic decision support.MethodsWe introduced an IR-based diagnostic decision support framework called CliniqIR. It uses clinical text records, the Unified Medical Language System Metathesaurus, and 33 million PubMed abstracts to classify a broad spectrum of diagnoses independent of training data availability. CliniqIR is designed to be compatible with any IR framework. Therefore, we implemented it using both dense and sparse retrieval approaches. We compared CliniqIR's performance to that of pretrained clinical transformer models such as Clinical Bidirectional Encoder Representations from Transformers (ClinicalBERT) in supervised and zero-shot settings. Subsequently, we combined the strength of supervised fine-tuned ClinicalBERT and CliniqIR to build an ensemble framework that delivers state-of-the-art diagnostic predictions.ResultsOn a complex diagnosis data set (DC3) without any training data, CliniqIR models returned the correct diagnosis within their top 3 predictions. On the Medical Information Mart for Intensive Care III data set, CliniqIR models surpassed ClinicalBERT in predicting diagnoses with <5 training samples by an average difference in mean reciprocal rank of 0.10. In a zero-shot setting where models received no disease-specific training, CliniqIR still outperformed the pretrained transformer models with a greater mean reciprocal rank of at least 0.10. Furthermore, in most conditions, our ensemble framework surpassed the performance of its individual components, demonstrating its enhanced ability to make precise diagnostic predictions.ConclusionsOur experiments highlight the importance of IR in leveraging unstructured knowledge resources to identify infrequently encountered diagnoses. In addition, our ensemble framework benefits from combining the complementary strengths of the supervised and retrieval-based models to diagnose a broad spectrum of diseases.

Project description:Metacognition, otherwise known as 'thinking about one's thinking,' leads to greater academic success and is foundational. Given this importance, metacognitive behaviors need to be developed within early years contexts to provide young children the opportunity to practice these behaviors and receive feedback. However, literature continues to focus on the development of metacognition in later grades. This mixed methods study explored metacognition in eight Kindergarten classrooms. Participants included eight Kindergarten teachers, six early childhood educators (ECEs), and 80 students. Data collection was conducted at two time periods separated by 12 weeks. Data collection included the Children's Independent Learning Development (CHILD) measure, semi-structured interviews, and classroom observations. The quantitative data from the CHILD were analyzed using a paired samples t-test in SPSS. All qualitative data were analyzed thematically. Qualitatively, three themes were identified: (1) Conceptualization of metacognition, (2) Barriers to developing metacognition, and (3) Operationalization of strategies to facilitate metacognitive development. Evidence demonstrated that participants had incomplete conceptualizations of metacognition. Some articulated simple understandings by reporting the literal translation and were unable to articulate more fulsome conceptions. However, some teachers had more developed conceptions of metacognition that included different facets such as planning and reflective thinking. All participants were forthcoming with identifying ways in which they struggled with implementing metacognitive practices or encouraging the development of metacognition. These barriers included large classroom sizes, developmental readiness, and wide student ability. Despite having an incomplete understanding of metacognition, early years educators were trying a variety of different strategies to help promote metacognitive thinking within their Kindergarten classrooms. Surprisingly, teacher ratings using the CHILD did not change significantly from Time 1 (M = 1.88, SD = 0.744) to Time 2 (M = 1.85, SD = 0.66), t (72) = 0.72, p > 0.05. A similar trend was observed for ECE ratings using the CHILD as they did not change significantly from Time 1 (M = 1.89, SD = 0.70) to Time 2 (M = 1.80, SD = 0.79), t (52) = 1.36, p > 0.05. This research highlights empirical practices that Kindergarten educators can use to help facilitate metacognitive thinking. Furthermore, it identifies a need to better support Kindergarten educators by integrating practices aimed at developing metacognitive thinking in their students through explicit examples of strategies.

Project description:Group psychotherapy is a useful clinical practice for adolescents with mental health issues. Groups typically consist of young people of similar ages but with different personalities, and this results in a complex communication network. The goal of group psychoanalytic psychotherapy is to improve participants' mentalization abilities, facilitating interactions between peers and their therapist in a safe, containing environment. The main aim of this study was to analyze conversation turn-taking between a lead therapist, a co-therapist, and six adolescents over the course of 24 treatment sessions divided into four blocks over 8 months. We employed a mixed-methods design based on systematic observation, which we consider to be a mixed method itself, as the qualitative data collected in the initial observation phase is transformed into quantitative data and subsequently interpreted qualitatively with the aid of clinical vignettes. The observational methodology design was nomothetic, follow-up, and multidimensional. The choice of methodology is justified as we used an ad-hoc observation instrument combining a field format and a category system. Interobserver agreement was analyzed quantitatively by Cohen's kappa using the free QSEQ5 software program. Once we had confirmed the reliability of the data, these were analyzed by polar coordinate analysis, which is a powerful data reduction technique that provides a vector representation of relationships between categories. The results show significant relationships between the therapist and (1) the activation of turn-taking by the participants and the co-therapist and silence and (2) conversation-facilitating interventions and interventions designed to improve mentalization abilities. Detailed analysis of questions demonstrating interest in others showed how the communication changed from radial interactions stemming from the therapist at the beginning of therapy to circular interactions half way through. Repetition was found to be a powerful conversation facilitator. The results also illustrate the role of the therapist, who (1) did not facilitate interventions by all participants equally, (2) encouraged turn-taking from more inhibited members of the group, (3) stimulated conversation from the early stages of therapy, and (4) favored mentalization toward the end. Despite its complexity, polar coordinate analysis produces easy-to-interpret results in the form of vector maps.

Project description:Opioid use disorder (OUD) is a major risk factor in the acquisition and transmission of HIV. Clinical practice guidelines call for the integration of HIV services in OUD treatment. This mixed methods study describes the integration of HIV services in buprenorphine treatment and examines whether HIV services vary by prescribers' medical specialty and across practice settings.Data were obtained via qualitative interviews with buprenorphine experts (n = 21) and mailed surveys from US buprenorphine prescribers (n = 1174). Survey measures asked about screening for HIV risk behaviors at intake, offering HIV education, recommending all new patients receive HIV testing, and availability of on-site HIV testing. Prescribers' medical specialty, practice settings, caseload demographics, and physician demographics were measured. Multivariate models of HIV services were estimated, while accounting for the nesting of physicians within states.Qualitative interviews revealed that physicians often use injection behaviors as the primary indicator for whether a patient should be tested for HIV. Interviews revealed that HIV-related services were often viewed as beyond the scope of practice among general psychiatrists. Surveys indicated that prescribers screened for an average of 3.2 of 5 HIV risk behaviors (SD = 1.6) at intake. About 62.0% of prescribers delivered HIV education to patients and 53.2% recommended HIV testing to all new patients, but only 32.3% offered on-site HIV testing. Addiction specialists and psychiatrists screened for significantly more HIV risk behaviors than physicians in other specialties. Addiction specialists and psychiatrists were significantly less likely than other physicians to offer on-site testing. Physicians in individual medical practice were significantly less likely to recommend HIV testing and to offer onsite testing than physicians in other settings.Buprenorphine treatment providers have not uniformly integrated HIV-related screening, education, and testing services for patients. Differences by medical specialty and practice setting suggest an opportunity for targeting efforts to increase implementation.

Project description:OBJECTIVE:This study aimed to understand the reasons for the practice by the Muslim community, traditional practitioners and the views of religious scholars as well as the medicalisation trend of the practice of female genital cutting (FGC). DESIGN:This is a mixed-method (qualitative and quantitative) study. A questionnaire was created and used by three trained research assistants for the quantitative component of the study. The qualitative component of the study included in-depth interviews and focus group interviews. SETTING:This study was conducted in rural areas of two states in the Northern Peninsular Malaysia. PARTICIPANTS:Due to the sensitive nature of the study, the study sample was chosen using a snowball sampling method. Two of the three Northern states Mufti's approached consented to participate in the study. RESULTS:Quantitative: There were 605 participants, most had undergone FGC (99.3%), were in the opinion FGC is compulsory in Islam (87.6%) and wanted FGC to continue (99.3%). Older respondents had FGC conducted by traditional midwives (X2=59.13, p<0.001) and younger age groups preferred medical doctors (X2=32.96, p<0.001) and would permit doctors (X2=29.17, p<0.001) to conduct FGC on their children. These findings suggest a medicalisation trend. Regression analysis showed the odds of FGC conducted by traditional midwives and nurses and trained midwives compared with medical doctors was 1.07 (1.05; 1.09) and 1.04 (1.01; 1.06), respectively. For every 1-year decrease in age, the odds of participants deciding medical doctors should perform FGC as compared with traditional midwives increase by 1.61.Qualitative: Focus group discussions showed most believed that FGC is compulsory in Islam but most traditional practitioners and the Mufti's stated that FGC is not compulsory in Islam. CONCLUSION:Almost everyone in the community believed FGC is compulsory in Islam and wanted the practice to continue, whereas the traditional practitioners and more importantly the Mufti's, who are responsible in issuing religious edicts, say it is not a religious requirement.

Project description:BACKGROUND:Recent discoveries in the fields of machine learning (ML), Ecological Momentary Assessment (EMA), computerized adaptive testing (CAT), digital phenotype, imaging, and biomarkers have brought about a new paradigm shift in medicine. OBJECTIVE:The aim of this study was to explore psychiatrists' perspectives on this paradigm through the prism of new clinical decision support systems (CDSSs). Our primary objective was to assess the acceptability of these new technologies. Our secondary objective was to characterize the factors affecting their acceptability. METHODS:A sample of psychiatrists was recruited through a mailing list. Respondents completed a Web-based survey. A quantitative study with an original form of assessment involving the screenplay method was implemented involving 3 scenarios, each featuring 1 of the 3 support systems, namely, EMA and CAT, biosensors comprising a connected wristband-based digital phenotype, and an ML-based blood test or magnetic resonance imaging (MRI). We investigated 4 acceptability domains based on International Organization for Standardization and Nielsen models (usefulness, usability, reliability, and risk). RESULTS:We recorded 515 observations. Regarding our primary objective, overall acceptability was moderate. MRI coupled with ML was considered to be the most useful system, and the connected wristband was considered the least. All the systems were described as risky (410/515, 79.6%). Regarding our secondary objective, acceptability was strongly influenced by socioepidemiological variables (professional culture), such as gender, age, and theoretical approach. CONCLUSIONS:This is the first study to assess psychiatrists' views on new CDSSs. Data revealed moderate acceptability, but our analysis shows that this is more the result of the lack of knowledge about these new technologies rather than a strong rejection. Furthermore, we found strong correspondences between acceptability profiles and professional culture profiles. Many medical, forensics, and ethical issues were raised, including therapeutic relationship, data security, data storage, and privacy risk. It is essential for psychiatrists to receive training and become involved in the development of new technologies.

Project description:The pace-of-life hypothesis is a socio-psychological theory postulating that citizens of different cities transact the business of life at varying paces, and this pace is associated with a number of population level variables. Here we apply the pace-of-life hypothesis to a hospital context to empirically test the association between pace and patient and staff outcomes. As pressure on hospitals grow and pace increases to keep up with demand, is there empirical evidence of a trade-off between a rapid pace and poorer outcomes? We collected data from four large Australian hospitals, inviting all staff (clinical and non-clinical) to complete a survey, and conducted a series of observations of hospital staff's walking pace and transactional pace. From these data we constructed three measures of pace: staff perception of pace, transactional pace, and walking pace. Outcome measures included: hospital culture, perceived patient safety, and staff well-being outcomes of job satisfaction and burnout. Overall, participants reported experiencing a "fast-paced" "hurried" and "rapid" pace-of-life working in the Australian hospital sector. We found a significant difference in perceived pace across four hospital sites, similar to trends observed for transactional pace. This provides support that the pace-of-life hypothesis may apply to the hospital context. We tested associations between faster perceived pace, hospital culture, staff well-being and patient safety. Results revealed perceived faster pace significantly predicted negative perceptions of organizational culture, greater burnout and lower job satisfaction. However, perceived pace did not predict perceptions of patient safety. Different perceptions of hospital pace-of-life were found between different clinical settings and the type of care delivered; staff working in emergency departments reported significantly "faster-paced" work environments than staff working in palliative, aged care, or rehabilitation wards.

Project description:Rationale & objectiveMore than 50% of hemodialysis patients experience sleep disturbance and most have coexisting sleep apnea. However, how sleep apnea affects sleep and the overall experience of patients with chronic kidney disease treated by hemodialysis has not been evaluated.Study designA mixed-methods design, incorporating cross-sectional observational and descriptive qualitative methodologies.Setting & participantsPatients receiving maintenance hemodialysis in Newcastle, New South Wales, Australia, with newly diagnosed sleep apnea (apnea-hypopnea index ≥ 5 per hour).AssessmentsIn-laboratory polysomnography to assess sleep apnea and objective sleep parameters. Epworth Sleepiness Scale to assess daytime symptoms. A semi-structured qualitative interview to explore patient experience.Analytical approachDescriptive and iterative thematic analysis.ResultsWe analyzed 36 patients with newly diagnosed sleep apnea and interviewed 26 (mean age, 62 years, median apnea-hypopnea index, 32 per hour). Severity of sleep apnea did not affect patients' sleep duration, sleep efficiency, or self-reported Epworth Sleepiness Scale score. From the qualitative interviews, 4 themes emerged: "broken sleep" related to short sleep duration, with waking and dozing off a common sleep cycle, caused by uncontrolled pain and dialysis. Many participants reported regularly "feeling unrefreshed" on waking. "Impact of sleep disturbance" included reduced physical, mental, and self-management capacity. Finally, interviewees described the need to use strategies to "soldier on" with symptoms.LimitationsParticipants' views are only transferrable to hemodialysis patients with sleep apnea.ConclusionsOur findings suggest that severity of sleep apnea does not affect sleep time or patient-reported daytime sleepiness; however, hemodialysis patients with sleep apnea report disturbed and unrefreshed sleep and the debilitating effects of sleep disturbance is profound. Broken and unrefreshed sleep were the dominant symptoms of sleep apnea and should be assessed routinely to identify patients with sleep apnea and improve quality of life in patients with chronic kidney disease treated with hemodialysis.

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Why we dehumanize illegal immigrants: A US mixed-methods study.

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