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Record W2108299841 · doi:10.5430/jha.v2n3p54

Perceptions of hospital admission in patients with cystic fibrosis

2013· article· en· W2108299841 on OpenAlexvenueno aff
Merel Visse, Tineke Abma, H.A. ten Oever, Yvonne Prins, Vincent Gulmans

Bibliographic record

VenueJournal of Hospital Administration · 2013
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialContext (archaeology)MedicinePerceptionHospital admissionNormativeFamily medicineCystic fibrosisNursingPsychologyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Aims and objectives: This paper is a report of a study of experiences of people with Cystic Fibrosis (CF) with their hospital admission. It evaluates how they perceive their treatment and care and the impact on their social life (school or work). Background: In The Netherlands, people with CF are hospitalized in seven CF centers. In general, hospitalization may raise several challenges concerning the patient’s psychosocial well-being, before, during and after the admission. The admission of people with CF is complicated, because of segregated treatment and care that aims to prevent hospital-based cross-infection. Design: This article reports on a qualitative study. Methods: Data were collected during 2009 and 2010. Nineteen people with CF admitted for more than 5 days in one of the seven Dutch CF-centres participated. Results and conclusions: The findings are organized into five contexts with subthemes: Before admission & Arrival (1); Treatment & Care (2); Room & Stay (3); Discharge (4); Social & Societal context (5). The findings show that patients express a need for enhancing the quality of some treatments, like intravenous injections and patients express normative expectations of professionals that directly relate to their psychosocial well-being, e.g. they want to be ‘seen’ and treated as human beings and not solely as patients. They desire segregation policies to be consistent, whilst simultaneously they prefer flexible segregation guidelines. In general, respondents are satisfied with hospital facilities. The study reports on challenges concerning continuation of school and work during the admission. The paper is relevant to every hospital where people are being nursed in isolation.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.054
Threshold uncertainty score0.360

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.005
GPT teacher head0.266
Teacher spread0.261 · 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.

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

Citations4
Published2013
Admission routes1
Has abstractyes

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