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Record W4404355801 · doi:10.1186/s12910-024-01131-y

Exploring the ethical decision-making experience of caregivers of end stage cancer patients in Iran: a phenomenological study

2024· article· en· W4404355801 on OpenAlexaff
Seyedeh Esmat Hosseini, Alireza Nikbakht Narabadi, Ali Abbasi, Soodabeh Joolaee, Neda Sheikhzakaryaee, Mahboobeh Shali

Bibliographic record

VenueBMC Medical Ethics · 2024
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsCentre for Advancing Health OutcomesFraser Health
Fundersnot available
KeywordsPhilosophy of medicineEthical decisionInterpretative phenomenological analysisPhenomenology (philosophy)PsychologyCancerMedical lawMedicineQualitative researchSociologyEpistemologySocial psychologyPhilosophyAlternative medicineSocial sciencePsychiatryPathologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Ethical decision making is a complex issue because it strongly depends on the religion, beliefs, traditional laws and moral views of each society. The purpose of this study was to explore the experience of Iranian family caregivers of end stage cancer patients about ethical decision making. METHODS: This qualitative study is based on van Manen's method of hermeneutic phenomenology. In-depth interviews were carried out to collect data. Participants were 12 caregiver. Audiotapes were transcribed and analyzed for common themes that represented the participants' experiences. Trustworthiness of the findings was established using the Lincoln and Guba's criteria. RESULTS: Three themes reflected the essence of caregivers' lived experience including; fluctuating between hope and despair, wandering dilemma, and ethical decision making. Each of these themes consisted of several subthemes. CONCLUSION: The present study revealed that, the caregivers of terminally ill cancer patients need different information about prognosis and end of life decision making process. Our perception of how families negotiate ethical issues in their decision-making is still developing. Opportunities should be created to empowering caregivers to talk about their uncertainties and concerns.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.030
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.442
GPT teacher head0.513
Teacher spread0.071 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueBMC Medical EthicsSame topicPalliative Care and End-of-Life IssuesFrench-language works237,207