MétaCan
Menu
Back to cohort

Patient satisfaction in Emergency Department

2023· article· en· W4390991031 on OpenAlexaff
Khalid Alsunidi, Mazi Mohammed Alanazi, Khalid Ayidh Aljuaydi, Najd Mujawwil A Alanazi, Abdulelah Aziz E Alenzi, Ahmed Hadi Khormi, Osamah Mohammed Bin Bakheet, Ibrahim Abdullatif Bin Muhainy, Wafa Ali Mubark Alaswad, Awn Abdulkhaliq Alqarni, Ahmed Ali Alaqil, Elias Kassis

Bibliographic record

VenueMedical Science · 2023
Typearticle
Languageen
FieldHealth Professions
TopicPatient Satisfaction in Healthcare
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsEmergency departmentMedical emergencyPatient satisfactionMedicineEmergency medicineSurgeryNursing

Abstract

fetched live from OpenAlex

Patient satisfaction is used as a benchmark for healthcare reform efforts that centre on patient-centered care.The satisfaction scores for emergency departments (ED) are frequently the lowest.We set out to investigate patient satisfaction with regard to ED healthcare services at our institution because ED is the patient's initial point of contact for receiving primary care.In this cross-sectional investigation, patients who spoke Arabic and visited our institution's emergency department (ED) were interviewed and given a validated 28-item survey questionnaire.Patient demographics and healthcare use variables were assessed as determinants of patient satisfaction.Pharmacy services ranked highest in terms of patient satisfaction with a mean score of 79, while arrival received the lowest ratings with a mean score of 63.6.The average rating was 69.8.The "Comfort of the waiting area" question had the lowest mean score, while the "Explanations provided by chemist about your prescription" question had the highest mean score and was rated as the most satisfying.Based on these findings, suggestions were made to enhance patients' impressions of the care they received, their experiences doing so, and the rating as a whole.This report offers detailed suggestions for improving patient satisfaction in Saudi Arabia's primary ED settings.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.003

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 head0.093
GPT teacher head0.472
Teacher spread0.380 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueMedical ScienceSame topicPatient Satisfaction in HealthcareFrench-language works237,207