Distress and resilience associated with workload of medical students

Kiziela, A; Viliūnienė, Rima; Friborg, Oddgeir; Navickas, Alvydas

doi:10.1080/09638237.2018.1521922

Cited by 19 publications

(11 citation statements)

References 25 publications

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“…The inclusion of AI in the medical syllabus would also be a difficult task as it would be subjected to the policies of universities and national accreditation bodies. The medical students already tend to have a higher workload and be more distressed than their agematched counterparts studying other degrees (27). To prevent further workload, certain aspects of the current curriculum might need to be removed to make room for AI.…”

Section: Study Implicationsmentioning

confidence: 99%

Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students' Perception

Bisdas

Topriceanu

Zakrzewska

et al. 2021

Front. Public Health

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Background: The emerging field of artificial intelligence (AI) will probably affect the practice for the next generation of doctors. However, the students' views on AI have not been largely investigated.Methods: An anonymous electronic survey on AI was designed for medical and dental students to explore: (1) sources of information about AI, (2) AI applications and concerns, (3) AI status as a topic in medicine, and (4) students' feelings and attitudes. The questionnaire was advertised on social media platforms in 2020. Security measures were employed to prevent fraudulent responses. Mann-Whitney U-test was employed for all comparisons. A sensitivity analysis was also performed by binarizing responses to express disagreement and agreement using the Chi-squared test.Results: Three thousand one hundred thirty-three respondents from 63 countries from all continents were included. Most respondents reported having at least a moderate understanding of the technologies underpinning AI and of their current application, with higher agreement associated with being male (p < 0.0001), tech-savvy (p < 0.0001), pre-clinical student (p < 0.006), and from a developed country (p < 0.04). Students perceive AI as a partner rather than a competitor (72.2%) with a higher agreement for medical students (p = 0.002). The belief that AI will revolutionize medicine and dentistry (83.9%) with greater agreement for students from a developed country (p = 0.0004) was noted. Most students agree that the AI developments will make medicine and dentistry more exciting (69.9%), that AI shall be part of the medical training (85.6%) and they are eager to incorporate AI in their future practice (99%).Conclusion: Currently, AI is a hot topic in medicine and dentistry. Students have a basic understanding of AI principles, a positive attitude toward AI and would like to have it incorporated into their training.

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Section: Study Implicationsmentioning

confidence: 99%

Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students' Perception

Bisdas

Topriceanu

Zakrzewska

et al. 2021

Front. Public Health

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“…From a psychological perspective individual resilience is something that can be learnt ( Shin et al 2012). Beginning with Garmezy in 1991, scholars, such as Cicchetti & Garmezy 1991, Luthans, (2002 Rogerson & Ermes 2008, Southwick et al 2014, and Kiziela et al 2019, among others, have defined resilience as a positive adaptation, despite the experience of significant adversity or trauma. These definitions suggest some kind of emotional or other state is regained or maintained, with the over-riding implication that such a state enables a return to, or maintenance of, desired functioning (Author, 2016).…”

Section: Conceptual Context: Resiliencementioning

confidence: 99%

Towards a model of resilience protection: factors influencing doctoral completion

McCray

Joseph-Richard

2020

High Educ

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This article asks what makes PhD completers resilient and which resilience protection factors help them complete their doctoral programme? A narrative inquiry methodology is applied to capture the experiences of eleven doctoral students who completed their PhDs in the United Kingdom. Data collected from interview conversations were analysed using resilience theory as a lens. We found that for these completers, success did not rely solely on the individual student, nor was the role of supervisors elevated, particularly for social and emotional support. Of importance was the students' family and social network, institutional context and the nature of university central services and how these were available to the completers. The study's contribution to the literature is in showing how the alignment of the completers' personal responses, environmental and social connections and institutional processes was available to build resilience, as we present a model for resilience protection in doctoral students .We hope the findings presented will be of interest to PhD students, supervisors and other academic colleagues in universities globally, as they seek insights into successful PhD completion.

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“…One study argued that medical students face numerous stressors during their study curricula, which require adequate resilience to ensure healthy adaptation [12]. In particular, medical students experience considerable challenges in their learning experiences and career development when they transit from the classroom to clinical environments or progress from the position of junior resident to attending physician.…”

Section: Introductionmentioning

confidence: 99%

Medical students’ resilience: a protective role on stress and quality of life in clerkship

Lin

et al. 2019

BMC Med Educ

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BackgroundResilience refers to the ability to be flexible and adaptive in response to challenges. Medical students in clerkship who are transitioning from medical studies to clinical practice face a variety of workplace demands that can lead to negative learning experiences and poor quality of life. This study explored whether medical students’ resilience plays a protective role against the stresses incurred during workplace training and on their professional quality of life during clerkships.MethodsThis was a 1-year prospective web-based questionnaire study comprising one cohort of medical students in their fifth year who were working as clerks as part of their 6-year medical education programme at one medical school in Taiwan between September 2017 and July 2018. Web-based, validated, structured, self-administered questionnaires were used to measure the students’ resilience at the beginning of the clerkship and their perceived training stress (i.e. physical and psychological demands) and professional quality of life (i.e. burnout and compassion satisfaction) at each specialty rotation. Ninety-three medical students who responded to our specialty rotation surveys at least three times in the clerkship were included and hierarchical regressions were performed.ResultsThis study verified the negative effects of medical students’ perceived training stress on burnout and compassion satisfaction. However, although the buffering (protective) effects of resilience were observed for physical demands (one key risk factor related to medical students’ professional quality of life), this was not the case for psychological demands (another key risk factor). In addition, through the changes in R square (∆R2) values of the hierarchical regression building, our study found that medical students’ perceived training stresses played a critical role on explaining their burnout but their resilience on their compassion satisfaction.ConclusionsMedical students’ resilience demonstrated a buffering effect on the negative relationship between physical demands and professional quality of life during clerkships. Moreover, different mechanisms (predictive paths) leading to medical students’ professional quality of life such as burnout and compassion satisfaction warrant additional studies.

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Distress and resilience associated with workload of medical students

Cited by 19 publications

References 25 publications

Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students' Perception

Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students' Perception

Towards a model of resilience protection: factors influencing doctoral completion

Medical students’ resilience: a protective role on stress and quality of life in clerkship

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