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Record W7044471591

Vivències de supervivents d'una aturada cardiorespiratòria extra-hospitalària del Baix Empordà - un estudi qualitatiu: projecte de recerca

2019· dissertation· en· W7044471591 on OpenAlexfundno aff

Bibliographic record

VenueUniversitat de Girona Digital Repository (Universitat de Girona) · 2019
Typedissertation
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsnot available
FundersHeart and Stroke Foundation of CanadaResearch Corporation for Science AdvancementAmerican Heart Association
KeywordsPrimary carePopulationThematic analysisCause of deathSudden cardiac arrestQualitative research
DOInot available

Abstract

fetched live from OpenAlex

Background: Cardiovascular diseases due to primary cardiac causes are the
\nleading cause of cardiac arrest and the leading cause of death worldwide for 15
\nyears. Cardiac arrest mostly occurs at an extra-hospital level and its survival rate
\nremains low, especially in the long term. After cardiac arrest patients spend one
\nyear for a cardiac rehabilitation, however, the literature shows that this is
\ninsufficient because patients continue to suffer from long-term consequences
\nsuch as depression, anxiety, panic, insecurity and loss of abilities. Today,
\nhowever, there has been little research into the experiences and support needs
\nin this stage.
\n
\nAim: To know the experiences after the cardiac arrest of the survivors of an extra-
\nhospital cardiac arrest in the Baix Empordà region.
\n
\nMethodology: The study presents a generic qualitative methodology; it is of the
\ninterpretative type and it will be carried out from September 2018 to October
\n2019. The field of study is the community nursing of the basic areas of health
\nfrom the Baix Empordà region. The study population will be adults over 18 years
\nold of the Baix Empordà region who have survived an extra-hospital cardiac
\narrest. The initial sample will be of 8 survivors chosen for convenience after
\nmaking informative sheets to the consultations of primary health care centres and
\nhealth clinics of the Baix Empordà. The data will be collected through a depth
\nsemi-structured interview and a thematic content analysis will be carried out. To
\ncarry out the study, it will be passed through the Research Committee and the
\nconfidentiality and autonomy of the patient will be respect according to the law.
\nPractical implications: The results of the study could help nursing, especially
\ncommunity, to know the main needs, fears, limitations and challenges and, thus,
\nto give more comprehensive, complete and person-centred care through nursing
\nconsultations or home visits

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.001
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 head0.007
GPT teacher head0.235
Teacher spread0.228 · 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 designObservational
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

Citations0
Published2019
Admission routes1
Has abstractyes

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