Sexual decision making of Ugandan young adults: findings from national online discussions.

Fifty-one 18-22-year-old Ugandans took part in asynchronous online discussions about sexual decision-making. To increase generalizability and variability of experience, youth were recruited across the country using social media advertising. Participants were stratified into 8 groups by sex and sexual experience (e.g., women who had not had sex). Participants were asked questions such as, "What role do you think [men/women] play in deciding when a couple is going to play sex?" Several themes emerged. Both young men and women articulated social pressures to be abstinent, particularly to avoid STIs and pregnancy moreso than saving oneself for marriage. That said, women noted pressures to be seen as "pure". There also were pressures to have sex: Men were expected to have sex to demonstrate their virility. Women were expected to have sex if they accepted gifts or other commodities from their partners. It seemed that the specter of HIV and other STIs, as well as unwanted pregnancy, served to mitigate these expectations however, resulting in self-efficacy to use condoms among both men and women. Nonetheless, both men and women acknowledged that it could be hard for women to negotiate condoms. Implications for HIV prevention are discussed.

Psychiatrists' perceptions of conditions and consequences associated with the implementation of open notes: qualitative investigation.

OBJECTIVE: In a growing list of countries, patients are granted access to their clinical notes ("open notes") as part of their online record access. Especially in the field of mental health, open notes remain controversial with some clinicians perceiving open notes as a tool for improving therapeutic outcomes by increasing patient involvement, while others fear that patients might experience psychological distress and perceived stigmatization, particularly when reading clinicians' notes. More research is needed to optimize the benefits and mitigate the risks. METHODS: Using a qualitative research design, we conducted semi-structured interviews with psychiatrists practicing in Germany, to explore what conditions they believe need to be in place to ensure successful implementation of open notes in psychiatric practice as well as expected subsequent changes to their workload and treatment outcomes. Data were analyzed using thematic analysis. RESULTS: We interviewed 18 psychiatrists; interviewees believed four key conditions needed to be in place prior to implementation of open notes including careful consideration of (1) diagnoses and symptom severity, (2) the availability of additional time for writing clinical notes and discussing them with patients, (3) available resources and system compatibility, and (4) legal and data protection aspects. As a result of introducing open notes, interviewees expected changes in documentation, treatment processes, and doctor-physician interaction. While open notes were expected to improve transparency and trust, participants anticipated negative unintended consequences including the risk of deteriorating therapeutic relationships due to note access-related misunderstandings and conflicts. CONCLUSION: Psychiatrists practiced in Germany where open notes have not yet been established as part of the healthcare data infrastructure. Interviewees were supportive of open notes but had some reservations. They found open notes to be generally beneficial but anticipated effects to vary depending on patient characteristics. Clear guidelines for managing access, time constraints, usability, and privacy are crucial. Open notes were perceived to increase transparency and patient involvement but were also believed to raise issues of stigmatization and conflicts.

Development, validation and feasibility of a Patient Satisfaction Questionnaire for evaluating the quality performance of a diagnostic small fibre neuropathy service: A qualitative study.

INTRODUCTION AND AIM: Small fibre neuropathy (SFN) is a peripheral neuropathy, leading to neuropathic pain and autonomic dysfunction. An evidence-based standardized patient diagnostic SFN service has been implemented in the Netherlands for improving patient-centred SFN care. However, the quality of care of this diagnostic SFN service has never been assessed from a patient perspective. The aim of this study was to develop and validate an SFN-Patient Satisfaction Questionnaire (SFN-PSQ) to measure the quality performance of a standardized diagnostic SFN service. METHODS: A descriptive qualitative study to create the SFN-PSQ was performed using the (COREQ (Consolidated Criteria for Reporting Qualitative Research) checklist. For item generation and content development, domains and/or items from validated PSQs were selected. The content development and content validity were performed using a Delphi method with SFN expert caregivers with different backgrounds. By using the three-step-test method in individual cognitive interviews, the content validity by patients was finalized. RESULTS: In one online Delphi panel round, the content of the first concept of the SFN-PSQ was validated, which resulted in the second concept of the SFN-PSQ. From July 2019 till March 2020, nine patients consented to participate in the individual cognitive interviews. The most significant changes of the new questionnaire were adding domains and items concerning the waiting list, the diagnostic services and consultation by the hospital psychiatrist. Also, a differentiation was made for both an inpatient and outpatient diagnostic SFN service. Furthermore, the clarity and intelligibility of the domains/items were improved, resulting in an increased comprehension of the SFN-PSQ. Ultimately, the new developed SFN-PSQ consisted of 10 domains and 51 items, suitable for measuring patient satisfaction of the neurological analysis in patients with SFN. CONCLUSION: Through item generation, expert opinions and interviews with patients, the SFN-PSQ was developed and validated, and feasibility was confirmed. The structure of the questionnaire, based on the logistic and diagnostic SFN pathway, could be used as a model in other hospitals to improve the quality, continuity and access of SFN care and other chronic diseases taking into account potential cross-cultural differences. PATIENT OR PUBLIC CONTRIBUTION: Caregivers were involved in the item generation and content development of the questionnaire. Patients were directly involved in testing the content validity and feasibility of the SFN-PSQ. CLINICAL TRIAL REGISTRATION: Not applicable.

Harnessing ChatGPT for Thematic Analysis: Are We Ready?

ChatGPT (OpenAI) is an advanced natural language processing tool with growing applications across various disciplines in medical research. Thematic analysis, a qualitative research method to identify and interpret patterns in data, is one application that stands to benefit from this technology. This viewpoint explores the use of ChatGPT in three core phases of thematic analysis within a medical context: (1) direct coding of transcripts, (2) generating themes from a predefined list of codes, and (3) preprocessing quotes for manuscript inclusion. Additionally, we explore the potential of ChatGPT to generate interview transcripts, which may be used for training purposes. We assess the strengths and limitations of using ChatGPT in these roles, highlighting areas where human intervention remains necessary. Overall, we argue that ChatGPT can function as a valuable tool during analysis, enhancing the efficiency of the thematic analysis and offering additional insights into the qualitative data. While ChatGPT may not adequately capture the full context of each participant, it can serve as an additional member of the analysis team, contributing to researcher triangulation through knowledge building and sensemaking.

Natural Language Processing of Referral Letters for Machine Learning-Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study.

BACKGROUND: Decision support systems (DSSs) for suggesting optimal treatments for individual patients with low back pain (LBP) are currently insufficiently accurate for clinical application. Most of the input provided to train these systems is based on patient-reported outcome measures. However, with the appearance of electronic health records (EHRs), additional qualitative data on reasons for referrals and patients' goals become available for DSSs. Currently, no decision support tools cover a wide range of biopsychosocial factors, including referral letter information to help clinicians triage patients to the optimal LBP treatment. OBJECTIVE: The objective of this study was to investigate the added value of including qualitative data from EHRs and referral letters to the accuracy of a quantitative DSS for patients with LBP. METHODS: A retrospective study was conducted in a clinical cohort of Dutch patients with LBP. Patients filled out a baseline questionnaire about demographics, pain, disability, work status, quality of life, medication, psychosocial functioning, comorbidity, history, and duration of pain. Referral reasons and patient requests for help (patient goals) were extracted via natural language processing (NLP) and enriched in the data set. For decision support, these data were considered independent factors for triage to neurosurgery, anesthesiology, rehabilitation, or minimal intervention. Support vector machine, k-nearest neighbor, and multilayer perceptron models were trained for 2 conditions: with and without consideration of the referral letter content. The models' accuracies were evaluated via F1-scores, and confusion matrices were used to predict the treatment path (out of 4 paths) with and without additional referral parameters. RESULTS: Data from 1608 patients were evaluated. The evaluation indicated that 2 referral reasons from the referral letters (for anesthesiology and rehabilitation intervention) increased the F1-score accuracy by up to 19.5% for triaging. The confusion matrices confirmed the results. CONCLUSIONS: This study indicates that data enriching by adding NLP-based extraction of the content of referral letters increases the model accuracy of DSSs in suggesting optimal treatments for individual patients with LBP. Overall model accuracies were considered low and insufficient for clinical application.

Utilising qualitative data for social network analysis in disaster research: opportunities, challenges, and an illustration.

An abundance of unstructured and loosely structured data on disasters exists and can be analysed using network methods. This paper overviews the use of qualitative data in quantitative social network analysis in disaster research. It discusses two types of networks, each with a relevant major topic in disaster research-that is, (i) whole network approaches to emergency management networks and (ii) personal network approaches to the social support of survivors-and four usable forms of qualitative data. This paper explains five opportunities afforded by these approaches, revolving around their flexibility and ability to account for complex network structures. Next, it presents an empirical illustration that extends the authors' previous work examining the sources and the types of support and barrier experienced by households during long-term recovery from Hurricane (Superstorm) Sandy (2012), wherein quantitative social network analysis was applied to two qualitative datasets. The paper discusses three challenges associated with these approaches, related to the samples, coding, and bias.

Exploration of the effects of incarceration on the health of Latina women and their children using the life course theory.

OBJECTIVE: Use the Life Course Theory (LCT) to explore the effects of involvement with the justice system on the health of Latina women and their children. DESIGN: A supplementary analysis was conducted using data collected from the original study to answer a new research question. SETTING: South Central Texas. PARTICIPANTS: A primary qualitative data set from 12 Latina women involved with the justice system. METHODS: We applied LCT principles and used thematic content analysis as such we employed categoric distinction: lifespan development, time and place in individuals' lives, the timing of lives, human agency, and linked lives to analyze participants' narratives. RESULTS: Five themes emerged that aligned with LCT principles: (1) It feels like I'm living in my own prison; (2) What do I have to live for now; (3) It is like double punishment; (4) They made my choices; and (5) People didn't really understand. Participants felt helpless with few options to overcome their prior adversities, which affected their ability to make positive future choices. CONCLUSIONS: Findings highlight the potential, long-term, negative health consequences that may result from incarceration. Considering that justice system involvement can lead to more profound maternal and child health disparities, our findings suggest that greater advocacy from the nursing profession would increase accessibility to equitable and respectful maternity and women's health care services. Key points Involvement with the justice system can result in negative health consequences for women and their children. Maternal and child health disparities are often more profound after involvement with the justice system. Greater advocacy is needed from the nursing profession to ensure access to equitable and respectful maternity and women's health care services.

Novel Methods for Leveraging Large Cohort Studies for Qualitative and Mixed-Methods Research.

Qualitative research methods, while rising in popularity, are still a relatively underutilized tool in public health research. Usually reserved for small samples, qualitative research techniques have the potential to enhance insights gained from large questionnaires and cohort studies, both deepening the interpretation of quantitative data and generating novel hypotheses that might otherwise be missed by standard approaches; this is especially true where exposures and outcomes are new, understudied, or rapidly changing, as in a pandemic. However, methods for the conduct of qualitative research within large samples are underdeveloped. Here, we describe a novel method of applying qualitative research methods to free-text comments collected in a large epidemiologic questionnaire. Specifically, this method includes: 1) a hierarchical system of coding through content analysis; 2) a qualitative data management application; and 3) an adaptation of Cohen's κ and percent agreement statistics for use by a team of coders, applying multiple codes per record from a large codebook. The methods outlined in this paper may help direct future applications of qualitative and mixed methods within large cohort studies.

Multilevel barriers and facilitators to widespread use of preconception carrier screening in the United States.

PURPOSE: Although preconception reproductive genetic carrier screening (RGCS) is preferred to screening during pregnancy, population-wide preconception screening is not routinely performed in the United States. We explored the multilevel barriers to the widespread adoption of preconception RGCS in the United States via key informant interviews. METHODS: Semi-structured virtual video interviews were conducted with 29 informants with a breadth of professional expertise between May and October 2022. Data collection and qualitative analyses were guided by the Consolidated Framework for Implementation Research and socioecological model. Analysis focused on identifying barriers to delivering preconception RGCS at and across different levels of health care and exploring potential facilitators of preconception RGCS delivery. RESULTS: Barriers to preconception RGCS were identified at the levels of test characteristics, patients and couples, clinicians and care teams, and the external health care and policy environments. Across the different levels of care delivery, 3 themes of barriers emerged: (1) fragmentation and inconsistencies hinder care delivery, (2) gaps in knowledge, misconceptions, and uncertainties about RGCS are pervasive, and (3) expanding preconception RGCS in the diverse US population presents unique implementation challenges. Potential solutions were detailed by informants. CONCLUSION: Identifying individual and thematic barriers to preconception RGCS delivery may help to define strategies to alleviate obstacles.

Frontline Health Care Workers' Mental Health and Well-Being During the First Year of the COVID-19 Pandemic: Analysis of Interviews and Social Media Data.

BACKGROUND: The COVID-19 pandemic has shed light on fractures in health care systems worldwide and continues to have a significant impact, particularly in relation to the health care workforce. Frontline staff have been exposed to unprecedented strain, and delivering care during the pandemic has affected their safety, mental health, and well-being. OBJECTIVE: This study aimed to explore the experiences of health care workers (HCWs) delivering care in the United Kingdom during the COVID-19 pandemic to understand their well-being needs, experiences, and strategies used to maintain well-being (at individual and organizational levels). METHODS: We analyzed 94 telephone interviews with HCWs and 2000 tweets about HCWs' mental health during the first year of the COVID-19 pandemic. RESULTS: The results were grouped under 6 themes: redeployment, clinical work, and sense of duty; well-being support and HCW's coping strategies; negative mental health effects; organizational support; social network and support; and public and government support. CONCLUSIONS: These findings demonstrate the need for open conversations, where staff's well-being needs and the strategies they adopted can be shared and encouraged, rather than implementing top-down psychological interventions alone. At the macro level, the findings also highlighted the impact on HCW's well-being of public and government support as well as the need to ensure protection through personal protective equipment, testing, and vaccines for frontline workers.

'I feel like this will never end': mental health during the COVID-19 pandemic among older adults with chronic conditions.

OBJECTIVES: The COVID-19 pandemic may have a negative impact on mental health, especially among older adults with chronic conditions who are more vulnerable to severe illness. In this qualitative study, we evaluated how the pandemic has impacted the ways that adults aged 50 and older with chronic conditions managed their mental health. METHODS: A total of 492 adults (M = 64.95 years, SD = 8.91, range = 50-94) who lived in Michigan (82.1%) and 33 other U.S. states completed one anonymous online survey between 14 May 14 and 9 July 2020. Open-ended responses were coded to ascertain relevant concepts and were reduced to develop major themes. RESULTS: We determined four main themes. The COVID-19 pandemic impacted how participants took care of their mental health through: (1) pandemic-related barriers to social interaction; (2) pandemic-related routine changes; (3) pandemic-related stress; and (4) pandemic-related changes to mental health service use. CONCLUSION: This study indicates that older adults with chronic conditions experienced various challenges to managing their mental health in the early months of the COVID-19 pandemic, but also showed considerable resilience. The findings identify potential targets of personalized interventions to preserve their well-being during this pandemic and in future public health crises.

Converting qualitative data into quantitative values using a matched mixed-methods design: A new methodological approach.

BACKGROUND: Quantifying qualitative data as part of mixed-methods research (MMR) can add to the study results' analysis. Comparable results may reinforce the conclusions, while differences hold an opportunity for an in-depth discussion. To date, there is little guidance for researchers seeking to quantify their qualitative data. OBJECTIVES: Describing conversion of qualitative data to quantitative values, comparison with matched questionnaire results, discussing the benefits of this process and the matched MMR design. METHODS: We describe in detail how qualitative data from 46 interviews were converted into quantitative values (i.e., quantitative-qualitative values, QQVs) using MMR design, enabling a comparison of results from interviews and questionnaires obtained from the same participants. This process was embedded in a larger MMR study on family-caregivers caring for people-with-end-stage-dementia conducted between the years 2020-2021. RESULTS: A QQV was generated for three main themes and compared to the questionnaires' scores regarding the same topics. There were no significant differences between the scores regarding 'satisfaction with nurses and physicians care', and 'discussion with nurses and physicians about end-of-life care'. However, for 'burden', the QQV score was significantly higher than the questionnaires' score. DISCUSSION: We described how to use a matched MMR design to produce and compare QQV from interviews with questionnaire scores. This methodology may allow further valuable discussion if the results are either similar or not, and for better integration and easier presentation of the results. Comparable results can reinforce the conclusions from both parts of the MMR study, while differences hold an opportunity for an in-depth discussion regarding their meaning and context. Although we claim that this methodology can be embedded in the MMR structure and contribute significantly to the discussion's depth, it by no means replaces the traditional MMR design. PATIENT AND PUBLIC CONTRIBUTION: No patient or public contribution.

Development and content validity of the Experienced Patient-Centeredness Questionnaire (EPAT)-A best practice example for generating patient-reported measures from qualitative data.

INTRODUCTION: To effectively foster patient-centeredness (PC), it is crucial to measure its implementation. So far, there is no German measure to assess PC comprehensively. The aim of this study is to develop and select items for the Experienced Patient-Centeredness (EPAT) Questionnaire, a patient-reported experience measure (PREM). The EPAT intends to assess PC from the perspective of adult patients treated for different chronic diseases in inpatient and outpatient settings in Germany. Furthermore, we aim at providing a best-practice example for developing PREMs from qualitative data. METHODS: The development process comprised a three-phase mixed-method design: (1) preparation, (2) item generation and (3) item selection and testing of content validity. We generated items using qualitative content analysis based on information from focus groups, key informant interviews and literature search. We selected items using relevance rating and cognitive interviews. Participants were patients from four chronic disease groups (cancer, cardiovascular disease, mental disorder, musculoskeletal disorder) and healthcare experts (e.g., clinicians, researchers, patient representatives). RESULTS: We conducted six focus groups with a total of 40 patients, key informant interviews with 10 experts and identified 48 PREMs from international literature. After team discussion, we reached a preliminary pool of 152 items. We conducted a relevance rating with 32 experts and 34 cognitive interviews with 21 patients. We selected 125 items assessing 16 dimensions of PC and showed high relevance and comprehensibility. CONCLUSIONS: The EPAT questionnaire is currently undergoing psychometric testing. The transparent step-by-step report provides a best practice example that other researchers may consider for developing PREMs. Integrating literature and experts with a strong focus on patient feedback ensured good content validity. The EPAT questionnaire will be helpful in assessing PC in routine clinical practice in inpatient and outpatient settings for research and quality improvement. PATIENT OR PUBLIC CONTRIBUTION: Patients were not involved as active members of the research team. While developing the funding proposal, we informally reached out to several patient organizations who all gave us positive feedback on the study aims, thereby confirming their relevance. Those patient organizations endorsed the funding proposal with formal letters of support and supported recruitment by disseminating advertisements for study participation.

Opioid use during pregnancy: An analysis of comment data from the 2016 Pregnancy Risk Assessment Monitoring System survey.

ABTSTRACTBackground: Opioid misuse during pregnancy has been associated with adverse infant outcomes including preterm birth, stillbirth, and neonatal opioid withdrawal syndrome. The Pregnancy Risk Assessment Monitoring System (PRAMS) is an on-going state-based surveillance system of maternal behaviors, attitudes, and experiences prior to, during, and after pregnancy. Methods: We analyzed qualitative comments related to opioid use during pregnancy collected in 2016 from an open-ended prompt at the end of the PRAMS survey in 35 states (N = 40,408). Key word searches were conducted on the open-ended responses (n = 9,549) to identify opioid-related content with an automated function using Microsoft Excel. All responses from the initial screening (n = 1,035) were manually reviewed, and 69 responses were confirmed to relate to the respondent's personal experience with opioid use during pregnancy. Content analysis was conducted by 3 independent coders; key themes were compiled, discussed, and finalized by the coding team. Results: Five key themes related to opioid use during pregnancy were identified: (1) gratitude for treatment, recovery, and healthy infants; (2) pregnancy as motivation to seek treatment; (3) difficulty finding prenatal care providers with training in substance use disorders; (4) concern about the effects of treatment on the infant; and (5) experiences of discrimination and stigma in the hospital around the time of delivery. Conclusions: Women may be aware of the potential impact of opioid use during pregnancy on the health of their infants and motivated to seek treatment. Findings may help inform new and ongoing initiatives designed to improve care and reduce stigma for women needing or seeking treatment.

Living in a reshaped reality: Exploring social participation and self-identity after TBI.

Individuals with a moderate to severe traumatic brain injury (TBI) experience substantial changes in their life. This constructivist grounded theory study aimed to develop an explanatory model that explores the impact of changes in social participation and self-identity after sustaining a TBI. Sixteen participants with moderate to severe TBI (mean age = 49.8, 69% male) were recruited, and were on average 16.4 years post-injury (SD = 10.4). Data from semi-structured interviews were analysed thematically. An overarching theme of "living in a reshaped reality" was identified, which depicted how changes in social participation and self-identity influenced ongoing experiences with TBI. Three main themes were generated: (1) "there's nothing that's the same" highlighted the daily challenges individuals faced post-injury, (2) "rebuilding and restarting" described how individuals with TBI navigated through their unfamiliar reality, and (3) "embrace it and run with it" explored participants' reactions towards life with a TBI. An explanatory model was developed, consisting of the overarching theme ("living in a reshaped reality") with the three integrated themes. Future research and clinical practices can build on this understanding to develop programmes to help individuals address their needs in post-injury life.

Hospital-acquired pressure ulcers prevention: What is needed for patient safety? The perceptions of nurse stakeholders.

AIM: The aim of this study was to understand the perceptions of 11 Portuguese nurses' stakeholders regarding pressure ulcers prevention practice and reality in the hospital setting. METHODS: Convenience sampling was used to recruit nursing stakeholders for a heterogeneous focus group. A semi-structured interview was conducted with 11 nursing stakeholders involved in pressure ulcers prevention and/or patient safety. MaxQda 2020 qualitative analysis software was used in the content analysis and data processing. Informed consent was obtained, and anonymity was guaranteed. RESULTS: Four themes were approached in the interview: (1) Pressure ulcer risk assessment; (2) Nurses and doctors pressure ulcers monitoring; (3) Pressure ulcer risk profiles; and (4) Effective interventions to improve patient safety. The categorisation of the four themes was created aposteriori based on the 'Awareness/Knowledge/Competence, Opportunity, and Motivation - Behaviour Change Wheel' (adapted COM-B system). Interest, responsibility, autonomy, leadership and prioritisation for decision-making were some categories linked to motivation. Braden scale operationalisation, education given during undergraduate degree continued professional health education, missing care, reliability of the records and patients' clinical characteristics emerged as categories associated with awareness/knowledge/competence. Understaffing/nursing hours, health policies, electronic health records systems and clinical language used, access to appropriate equipment and resources, teamwork and clinical support specialist on tissue viability/wound care were some categories related to opportunity. CONCLUSIONS: Pressure ulcer prevention is complex and requires a focussed attitude, robust evidenced-based knowledge and enhanced skills in risk assessment, communication and team collaboration. The highlighted categories could be further analysed at an organisational level to develop tailored strategies that could contribute to successful evidence-based practice implementation. RELEVANCE TO CLINICAL PRACTICE: The findings provide directions for behavioural change in the hospital context related to pressure ulcers prevention through awareness/knowledge/competence, motivation and opportunity to improve care delivered.

Gaining Insights about Forest Health Prescriptions from Loggers and Foresters: Understudied Voices in the Human Dimensions of Forest Health.

Maintaining healthy forests requires multiple individuals, including foresters who develop timber sale silvicultural prescriptions and loggers who implement those prescriptions, resulting in the transplantation of forest health science into workable management plans. However, data on the experiences, attitudes, and opinions of these two groups are often missing when developing or refining forest health treatment strategies. To explore the role that these groups play in sustaining forest health, we examined timber sale administrators' and loggers' perspectives on treatment approaches for eastern spruce dwarf mistletoe (Arceuthobium pusillum) (ESDM), a parasitic plant native to Minnesota that increases mortality and reduces growth rate and regeneration success of black spruce (Picea mariana). While ESDM has been managed for decades in black spruce stands in Minnesota, little is known about the effectiveness of the management approaches. Data were gathered through interviews and focus groups with loggers, as well as an online survey and focus groups with foresters who administer timber sales. Study participants identified a range of field-based barriers, knowledge gaps, and uncertainties that hamper the ability to effectively implement ESDM treatment strategies as designed, including financial, administrative, informational, policy-related, and environmental factors. These factors have a significant bearing on the ability to effectively implement ESDM treatment approaches; yet may be factors that were not known or considered when developing treatment strategies. This case study underscores the value of nurturing a science-management partnership to ensure that a broad set of voices are considered when developing or revising forest health treatment strategies.

Now, I think doctors can be heroes Medical student's attitudes towards the COVID-19 pandemic's impact on key aspects of medical education and how the image of the medical profession has changed due to the COVID-19 pandemic.

BACKGROUND: The COVID-19 (coronavirus disease 2019) pandemic hit the world in early 2020 and influenced medical education worldwide. Distance learning, risk of infection and patient care, telehealth literacy, medical ethics and research in medical education are key factors of medical education challenged by the pandemic. Additionally, the following question arises: "What do medical students think about their future profession in the face of this crisis?" METHODS: A cross-sectional survey was conducted among all undergraduate medical students of the Medical University of Vienna. 872 students answered the self-developed questionnaire. Qualitative and quantitative data analyses were conducted. RESULTS: The data show that the COVID-19 pandemic has raised awareness for the key aspects. In all areas of interest, students' feeling of petaredness is limited. Limitations in practical training and distance learning as well as social isolation concern a majority of students. Neutral, positive, and negative themes emerged in qualitative data analysis. Only 8% of the students of the first 3 years of study versus 13.4% of the students in higher years commented negatively. 18.7% of male vs. only 12.5% of all female students' comments were positive. A large proportion of positive comments were dedicated to the relevance and deeper meaning of the medical profession. Infection risk and the demanding nature of the medical profession were predominant in negative comments. CONCLUSION: The COVID-19 crisis has turned the spotlight on several aspects of medical education in need of reform. In addition, the occupational image of the medical profession seems to shift under the weight of this pandemic.

Providing Care: Intrinsic Human-Machine Teams and Data.

Despite the many successes of artificial intelligence in healthcare applications where human-machine teaming is an intrinsic characteristic of the environment, there is little work that proposes methods for adapting quantitative health data-features with human expertise insights. A method for incorporating qualitative expert perspectives in machine learning training data is proposed. The method implements an entropy-based consensus construct that minimizes the challenges of qualitative-scale data such that they can be combined with quantitative measures in a critical clinical event (CCE) vector. Specifically, the CCE vector minimizes the effects where (a) the sample size is too small, (b) the data may not be normally distributed, or (c) The data are from Likert scales, which are ordinal, so parametric statistics cannot be used. The incorporation of human perspectives in machine learning training data provides encoding of human considerations in the subsequent machine learning model. This encoding provides a basis for increasing explainability, understandability, and ultimately trust in AI-based clinical decision support system (CDSS), thereby improving human-machine teaming concerns. A discussion of applying the CCE vector in a CDSS regime and implications for machine learning are also presented.

Structural Dialectic Model of Care: A Guide to Beliefs, Scenarios and Social Actors Analysis in Nursing Research.

The structural dialectic model of care provides a data analysis method that facilitates the identification of beliefs and structural and functional characteristics. To demonstrate the relevance of the structural dialectic model of care for data analysis integrating beliefs, scenarios and social actors. The characteristics and functions of the model are described and explained through an analysis of its application in fifteen doctoral theses (2009-2017). This model has three structures, the functional unit (beliefs), the functional element (social agents), and the functional framework (scenarios). The Structural Dialectic Model of Care constitutes a useful methodological tool for studies of nursing, organizing analysis of the data according to the dynamic and dialectical nature of their structures.