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Record W2196414177 · doi:10.5539/gjhs.v8n6p109

Needs of Hemodialysis Patients and Factors Affecting Them

2015· article· en· W2196414177 on OpenAlexvenueno aff
Dhima Xhulia, Jaku Gerta, Zefaj Dajana, Ioannis Κoutelekos, Chrysoula Vasilopoulou, Margitsa Skopelitou, Maria Polikandrioti

Bibliographic record

VenueGlobal Journal of Health Science · 2015
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsResidenceAffect (linguistics)Emotional supportMedicineIncidence (geometry)Social supportMultivariate analysisDiseaseHemodialysisInformation needsData collectionFamily medicineNeeds assessmentGerontologyPsychologyNursingDemographyInternal medicineSocial psychology

Abstract

fetched live from OpenAlex

PURPOSE: Of this study was to explore the needs of hemodialysis patients and the factors that affect them. MATERIAL & METHODS: The sample of the study included 141 patients undergoing hemodialysis. Data collection was performed by the method of interview using a specially designed questionnaire which served the purposes of the study. The needs were grouped into six categories. Patients were asked to answer how important was for them each of the statements in the questionnaire. Furthermore, there were collected socio-demographic characteristics, information on health status and relations with the physicians and nurses, as well as data on the incidence of the disease in their social life. RESULTS: The results of this study showed that patients evaluated as fairly important all six categories of their needs, with similar results in both sexes. Age was found to be statistically significantly associated with 'the need for support and guidance', 'the need to be informed' and 'the need to meet the emotional and physical needs', (p=0.023, p=0.012, p=0.028 respectively). Education level was found to be statistically significantly associated with all patients' needs with the exception of 'the need to trust the medical and nursing staff', (p=<0.05). Place of residence was statistically significantly associated with 'the need for support and guidance', (p=0.029). Furthermore, difficulties in relations with family members was found to be statistically significantly associated with 'the need for support, the need for communication and individualization of care', (p=0.014, p=0.040, p=0.041). After multivariate analysis, however, it was shown that the only independent factor affecting 'the need for support and guidance', 'the need for individualized care' and 'the need to meet the emotional and physical needs', was if the patients reported themselves as anxious or not (p=0,024, p=0,012 and p=0,004, respectively). In particular, patients who considered themselves anxious had 1.38, 1.5 and 1.6 points respectively higher score in the evaluation of the importance of needs compared to patients who did not consider themselves anxious. CONCLUSIONS: Factors affecting needs of hemodialysis patients are age, education level, place of residence difficulties in relations with family members as well as anxious personality as reported by the patients.

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)0.005
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.325
Teacher spread0.286 · 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

Citations41
Published2015
Admission routes1
Has abstractyes

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