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Record W2177597684 · doi:10.5539/gjhs.v8n7p126

Correlation Between the Type of Acute Coronary Syndrome With the Needs of Hospitalized Patients

2015· article· en· W2177597684 on OpenAlexvenueno aff
Maria Polikandrioti, John Goudevenos, Lampros K. Michalis, Elpida Georgiadi, K.X. Karakostas, Moses Elisaf

Bibliographic record

VenueGlobal Journal of Health Science · 2015
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAcute coronary syndromeIntervention (counseling)Internal medicineCoronary artery diseaseRegimenPhysical therapyNursingMyocardial infarction

Abstract

fetched live from OpenAlex

INTRODUCTION: Acute Coronary Syndromes (ACS) comprise life-threatening health problems that demand emergency care and immediate intervention. As patients are abruptly transitioning from healthy state into suffering, they consequently experience several needs, mainly attributed to the type of the syndrome including the therapeutic regimen. OBJECTIVES: To access the correlation between the type of acute coronary syndrome (ACS) with the needs of hospitalized patients. METHODS: A sample of 454 hospitalized patients with ACS, recruited from 4 hospitals in Greece, was enrolled in the study. Data were collected by the completion of questionnaire which apart from socio-demographic and clinical characteristics, it also included the questionnaire "Needs of hospitalized patients with coronary artery disease" which is consisted 6 subscales: a) need for support and guidance, b) need for information from the medical-nursing staff, c) need for being in contact with other patient groups and ensuring communication with relatives, d) need for individualized treatment and for the patient's personal participation to his/her treatment e) need to meet the emotional and physical needs f) need to trust the medical-nursing staff. Statistical methods used were Kolmogorov-Smirnov test, chi2 test of independence, Kruskal wallis-test and multiple regression. RESULTS: The type of ACS was statistically significant correlated with the place of residence (p=0.002), management of disease (p<0.001) and prior experience of hospitalization (p=0.003). All six needs were statistically significantly correlated with the type of ACS, (p<0.001 for the need for support and guidance, p<0.001 for the need to be informed from the medical and nursing staff, p<0.001 for the need for being in contact with other patient groups, and ensuring communication with relatives, p<0.001 for the need for individualized treatment and for the patient's personal participation to his/her treatment, p<0.001 for the need to meet the emotional needs and physical needs and p=0.010 for the need to trust the medical and nursing staff). More specifically, patients with angina considered all six needs to be less significant than patients with unstable angina and myocardial infarction. These results were confirmed by the multiple linear regression after controlling for potential confounders. CONCLUSIONS: Needs of hospitalized patients should be assessed in daily clinical practice according to the type of the syndrome.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.027
GPT teacher head0.354
Teacher spread0.326 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations12
Published2015
Admission routes1
Has abstractyes

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