Evidence map›Paper›PMID 38050366›Full record

ArticleJMIR medical education2024

Challenges for Medical Students in Applying Ethical Principles to Allocate Life-Saving Medical Devices During the COVID-19 Pandemic: Content Analysis.

Hsing-Yen Hsieh, Chyi-Her Lin, Ruyi Huang, Guan-Chun Lin, Jhen-Yu Lin, Clydie Aldana

Open access · goldAbstract read
In one paragraph

Article in JMIR medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Hsing-Yen HsiehSchool of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung, Taiwan.ORCID 0009-0007-2049-1117
Chyi-Her LinSchool of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung, Taiwan.ORCID 0000-0001-7163-528X
Ruyi Huang *School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung, Taiwan.ORCID 0000-0001-6867-7171
Guan-Chun LinSchool of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung, Taiwan.ORCID 0009-0007-6166-1506
Jhen-Yu LinHolistic Medicine, Department of Family and Community Medicine, E-Da Hospital, Kaohsiung, Taiwan.ORCID 0009-0004-7666-3393
Clydie AldanaSchool of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung, Taiwan.ORCID 0009-0005-4240-4286
I-Shou University · TWE-Da Hospital · TWNational Taiwan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emergence of the COVID-19 pandemic has posed a significant ethical dilemma in the allocation of scarce, life-saving medical equipment to critically ill patients. It remains uncertain whether medical students are equipped to navigate this complex ethical process.

objectiveThis study aimed to assess the ability and confidence of medical students to apply principles of medical ethics in allocating critical medical devices through the scenario of virtual patients.

methodsThe study recruited third- and fourth-year medical students during clinical rotation. We facilitated interactions between medical students and virtual patients experiencing respiratory failure due to COVID-19 infection. We assessed the students' ability to ethically allocate life-saving resources. Subsequently, we analyzed their written reports using thematic analysis to identify the ethical principles guiding their decision-making.

resultsWe enrolled a cohort of 67 out of 71 medical students with a mean age of 34 (SD 4.7) years, 60% (n=40) of whom were female students. The principle of justice was cited by 73% (n=49) of students while analyzing this scenario. A majority of them expressed hesitancy in determining which patient should receive life-saving resources, with 46% (n=31) citing the principle of nonmaleficence, 31% (n=21) advocating for a first-come-first-served approach, and 25% (n=17) emphasizing respect for patient autonomy as key influencers in their decisions. Notably, medical students exhibited a lack of confidence in making ethical decisions concerning the distribution of medical resources. A minority, comprising 12% (n=8), proposed the exploration of legal alternatives, while 4% (n=3) suggested medical guidelines and collective decision-making as potential substitutes for individual ethical choices to alleviate the stress associated with personal decision-making.

conclusionsThis study highlights the importance of improving ethical reasoning under time constraints using virtual platforms. More than 70% of medical students identified justice as the predominant principle in allocating limited medical resources to critically ill patients. However, they exhibited a lack of confidence in making ethical determinations and leaned toward principles such as nonmaleficence, patient autonomy, adherence to legal and medical standards, and collective decision-making to mitigate the pressure associated with such decisions.

Indexed as

COVID-19Students, MedicalAdultBeneficenceCritical IllnessFemaleHumansMalePandemicsCOVID-19 pandemicdecision-makingdecision supportethical dilemnaethicslife-savingmedical devicemedical devicesmedical ethical educationmedical ethicsmedical guidelinemedical guidelinesmedical resources distributionmedical studentmedical studentsreasoningsimulationthematic analysisvirtual patientvirtual patientsvirtual platform

Identifiers

PMID38050366
PMCPMC10799279
OpenAlexW4389341613

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.