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Record W4281559078 · doi:10.25259/ijpc_134_2021

Moral Distress and Perception of Futile Care among Nurses of Neonatal Care Units

2022· article· en· W4281559078 on OpenAlexaff
Jamalodin Begjani, Niloofar Najafali Dizaji, Jila Mirlashari, Kamran Dehghan

Bibliographic record

VenueIndian Journal of Palliative Care · 2022
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPerceptionNeonatal intensive care unitNursingMedicineScale (ratio)CurriculumQuality (philosophy)DistressIntensive carePsychologyPediatricsClinical psychologyIntensive care medicine

Abstract

fetched live from OpenAlex

Objectives: Moral distress (MD), which is affected by several factors such as futile care provision and is considered the cause of adverse effects such as job dissatisfaction and decreased care quality, is a new concept attracting increasing academic interest. This study aims to assess the correlation between nurses' perception of futile care and MD in neonatal care units. Material and Methods: This descriptive-correlational study was carried out among 115 nurses working in the neonatal intensive care units and neonatal special care units of two hospitals in West Azerbaijan Province during 2020. A demographic information form, the 21-item MD-Pediatric version scale, and the 17-item perception of futile care questionnaire were used to collect data and analysed using SPSS 16 software. Results: The results confirmed the direct correlation between MD and the perception of futile care. In addition, MD and the nurses' perceptions of futile care were estimated to be moderate. Conclusion: The results of this study provide evidence to emphasise the need for further studies to investigate other causes of MD in neonatal units and find the solutions to make the work environment more ethical. Furthermore, the results provide the platform needed for hospital and university managers to make the necessary decisions and create the required changes in the educational curriculum of nursing students and provide the appropriate courses for neonatal unit nurses to improve their ability to cope with the MD caused by providing futile care.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.069
GPT teacher head0.446
Teacher spread0.376 · 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

Citations14
Published2022
Admission routes1
Has abstractyes

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