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1.
Health (London) ; : 13634593241234479, 2024 Feb 26.
Artículo en Inglés | MEDLINE | ID: mdl-38407159

RESUMEN

Psychiatric practice has always entailed a coercive dimension, visible not only in its formal expressions (e.g. compulsory treatment) but in many informal and implicit forms. In fact, contemporary psychiatric practices are characterized by an interplay of coercion and dialog to be interpreted not as binary categories but as extremes of a spectrum. Within this perspective, it becomes crucial to draw boundaries attributing meaning to professional identities and practices in psychiatric work. This is particularly relevant in acute wards: to explore this issue, we selected two cases according to a most-different-cases design, one ward with a mechanical-restraint approach compared to one with no-mechanical-restraint. We argue that gender, mobilized to performatively draw distinctions and hierarchies in order to define and justify different approaches to psychiatric crises along the continuum between coercion and dialog, is a key dimension in the boundary-making process. The analysis identifies two main dimensions of drawing gendered boundaries: inter-gender boundaries (overlapping the binary distinction between masculinity and femininity with a more coercive or relational-dialogic approach to crisis) and intra-gender boundaries (distinguishing and ranking of different masculinities and femininities), associating a less coercive orientation with a devirilized masculinity.

2.
Sociol Health Illn ; 46(2): 200-218, 2024 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-37573551

RESUMEN

The application of artificial intelligence (AI) in medical practice is spreading, especially in technologically dense fields such as radiology, which could consequently undergo profound transformations in the near future. This article aims to qualitatively explore the potential influence of AI technologies on the professional identity of radiologists. Drawing on 12 in-depth interviews with a subgroup of radiologists who participated in a larger study, this article investigated (1) whether radiologists perceived AI as a threat to their decision-making autonomy; and (2) how radiologists perceived the future of their profession compared to other health-care professions. The findings revealed that while AI did not generally affect radiologists' decision-making autonomy, it threatened their professional and epistemic authority. Two discursive strategies were identified to explain these findings. The first strategy emphasised radiologists' specific expertise and knowledge that extends beyond interpreting images, a task performed with high accuracy by AI machines. The second strategy underscored the fostering of radiologists' professional prestige through developing expertise in using AI technologies, a skill that would distinguish them from other clinicians who did not pose this knowledge. This study identifies AI machines as status objects and useful tools in performing boundary work in and around the radiological profession.


Asunto(s)
Inteligencia Artificial , Radiología , Humanos , Radiólogos , Radiología/métodos
3.
Health Place ; 85: 103157, 2024 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-38048648

RESUMEN

The manuscript reports on a study conducted on a youth mental health intervention, proposing a novel framework to look at the therapeutic potential of viticultural landscapes. Drawing on care studies applied to agricultural contexts, the work explores how the attention-based practice of manual grape harvest in a specific natural and social environment can produce a "therapeutic landscape of the mind". Through ethnographic research, we investigate how the spatial and social context of the viticultural environment influences the experience of a group of young people with mental-ill health, eventually supporting their process of recovery. Findings describe how the lived experience of caring for the vines while interacting with professional winegrowers in a one-to-one relationship allows participants to explore new territories of the self. It is argued that this powerful experience is not only beneficial as it unfolds, but also at a later time. Its therapeutic potential resides in the fact that the "landscape of the mind" can be recalled by the person, while positive identities associated with it and newly discovered "ways of being" can be re-enacted. The paper furthers the reflection on place-making practices of public health services and the way they can support the identification and cultivation of enabling places, particularly for vulnerable populations (e.g. young people) that can benefit from interventions conducted in non-medical, non-stigmatizing environments. The work is the result of an interdisciplinary collaboration between a psychiatrist (designing and coordinating the intervention) and a sociologist (designing and conducting the ethnographic study).


Asunto(s)
Salud Mental , Trastornos por Estrés Postraumático , Humanos , Adolescente , Trastornos por Estrés Postraumático/psicología , Medio Social , Grupos de Población , Antropología Cultural
4.
Br J Radiol ; 96(1141): 20220569, 2023 Jan 01.
Artículo en Inglés | MEDLINE | ID: mdl-36314388

RESUMEN

OBJECTIVE: Although breast cancer screening can benefit from Artificial Intelligence (AI), it is still unknown whether, to which extent or under which conditions, the use of AI is going to be accepted by the general population. The aim of our study is to evaluate what the females who are eligible for breast cancer screening know about AI and how they perceive such innovation. METHODS: We used a prospective survey consisting of a 11-multiple-choice questionnaire evaluating statistical associations with Chi-Square-test or Fisher-exact-test. Multinomial-logistic-regression was performed on items with more than two response categories. Odds ratio (OR) with 95% CI were computed to estimate the probability of a specific response according to patient's characteristics. RESULTS: In the 800 analysed questionnaires, 51% of respondents confirmed to have knowledge of AI. Of these, 88% expressed a positive opinion about its use in medicine. Non-Italian respondents were associated with the belief of having a deep awareness about AI more often than Italian respondents (OR = 1.91;95% CI[1.10-3.33]). Higher education level was associated with better opinions on the use of AI in medicine (OR = 4.69;95% CI[1.36-16.12]). According to 94% of respondents, the radiologists should always produce their own report on mammograms, whilst 77% agreed that AI should be used as a second reader. Most respondents (52%) considered that both the software developer and the radiologist should be held accountable for AI errors. CONCLUSIONS: Most of the females undergoing screening in our Institute approve the introduction of AI, although only as a support to radiologist, and not in substitution thereof. Yet, accountability in case of AI errors is still unsolved. advances in knowledge:This survey may be considered as a pilot-study for the development of large-scale studies to understand females's demands and concerns about AI applications in breast cancer screening.


Asunto(s)
Neoplasias de la Mama , Detección Precoz del Cáncer , Humanos , Femenino , Inteligencia Artificial , Neoplasias de la Mama/diagnóstico por imagen , Estudios Prospectivos , Proyectos Piloto , Mamografía , Encuestas y Cuestionarios , Derivación y Consulta
5.
Health (London) ; 27(4): 508-524, 2023 07.
Artículo en Inglés | MEDLINE | ID: mdl-34715738

RESUMEN

The diagnostic process in contemporary medical practice is increasingly technical, specialised and relying on population-based ranges of biological normalcy. Disease is defined according to a hierarchy of evidence that privileges specialist knowledge and marginalises subjective experiences of illness. Medical and individual definitions of the situation can conflict in two ways: (i) a diagnosis is made in the absence of symptoms, (ii) individual suffering does not constitute 'real' disease if it is not validated by scientific evidence. This article investigates how the discrepancy between specialist and embodied knowledge is experienced and tentatively solved by patients' self-narratives. Starting from the analysis of 22 in-depth interviews with people affected by autoimmune diseases, we focus on the subgroup affected by Hashimoto's thyroiditis. Applying the most-different-systems design, we confront two flesh-and-blood ideal-types of illness narratives characterised by a mismatch between illness and disease. Their diagnostic trajectories are outlined and discussed as poles of a continuum of experiences resulting from different configurations of medical evidence of disease and subjective evidence of illness.


Asunto(s)
Enfermedad de Hashimoto , Humanos , Enfermedad de Hashimoto/diagnóstico , Italia
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