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Record W2098745248 · doi:10.1097/ccm.0b013e31820a92fb

Qualitative analysis of an intensive care unit family satisfaction survey*

2011· article· en· W2098745248 on OpenAlexafffundabout
Natalie Henrich, Peter Dodek, Daren K. Heyland, Graeme Rocker, Demetrios J. Kutsogiannis, Craig Dale, Robert Fowler, Najib Ayas

Bibliographic record

VenueCritical Care Medicine · 2011
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsSt. Paul's Hospital
FundersCanadian Institutes of Health ResearchMichael Smith Health Research BC
KeywordsMedicineIntensive care unitIntensive careFamily medicineIntensive care medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: To describe the qualitative findings from a family satisfaction survey to identify and describe the themes that characterize family members' intensive care unit experiences. DESIGN: As part of a larger mixed-methods study to determine the relationship between organizational culture and family satisfaction in critical care, family members of eligible patients in intensive care units completed a Family Satisfaction Survey (FS-ICU 24), which included three open-ended questions about strengths and weaknesses of the intensive care unit based on the family members' experiences and perspectives. Responses to these questions were coded and analyzed to identify key themes. SETTING: Surveys were administered in 23 intensive care units from across Canada. PARTICIPANTS: Surveys were completed by family members of patients who were in the intensive care unit for >48 hrs and who had been visited by the family member at least once during their intensive care unit stay. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A total of 1381 surveys were distributed and 880 responses were received. Intensive care unit experiences were found to be variable within and among intensive care units. Six themes emerged as central to respondents' satisfaction: quality of staff, overall quality of medical care, compassion and respect shown to the patient and family, communication with doctors, waiting room, and patient room. Within three themes, positive comments were more common than negative comments: quality of the staff (66% vs. 23%), overall quality of medical care provided (33% vs. 2%), and compassion and respect shown to the patient and family (29% vs. 12%). Within the other three themes, positive comments were less common than negative comments: communication with doctors (18% vs. 20%), waiting room (1% vs. 8%), and patient rooms (0.4% vs. 5%). CONCLUSIONS: The study provided improved understanding of why family members are satisfied or dissatisfied with particular elements of the intensive care unit and this knowledge can be used to modify intensive care units to better meet the physical and emotional needs of the families of intensive care unit 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)0.010
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.397
GPT teacher head0.540
Teacher spread0.143 · 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 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

Citations93
Published2011
Admission routes3
Has abstractyes

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