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Record W4291014778 · doi:10.1186/s12245-022-00438-0

Patient-centered care in the emergency department: a systematic review and meta-ethnographic synthesis

2022· review· en· W4291014778 on OpenAlexafffund
Anna Walsh, Elnaz Bodaghkhani, Holly Etchegary, Lindsay Alcock, Christopher Patey, Dorothy Senior, Shabnam Asghari

Bibliographic record

VenueInternational Journal of Emergency Medicine · 2022
Typereview
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsSt. John’s Health Sciences CentreNewfoundland and Labrador Centre for Applied Health ResearchHealth Sciences CentreUniversity of British ColumbiaMemorial University of Newfoundland
FundersCanadian Mental Health Association
KeywordsEmergency departmentMedicineCLARITYContext (archaeology)StakeholderNursingIntervention (counseling)Patient satisfactionHealth careMedical educationPublic relations

Abstract

fetched live from OpenAlex

BACKGROUND: Patient-centered care (PCC) is an emerging priority in many healthcare settings but lacks clarity in the emergency department (ED). It is of interest to know what PCC practices are most important to patients to better their experience. The objective of this study was to conduct a mixed-methods systematic review of PCC in the ED. METHODS: We used stakeholder and patient engagement to consult with clinicians, subject-matter experts, patient partners, and community organizations to determine patient needs. We examined all articles in the ED context with PCC as the intervention. Two independent reviewers screened 3136 articles and 13 were included. A meta-ethnographic analysis was conducted to determine common themes of PCC. RESULTS: Themes included emotional support, communication, education, involvement of patient/family in information sharing and decision making, comfort of environment, respect and trust, continuity, and transition of care. Challenges in the ED reflected a lack of PCC. Moreover, implementation of PCC had many benefits including higher patient satisfaction with their care. Though there were commonalities of PCC components, there was no consistently used definition for PCC in the ED. CONCLUSION: The findings of this review support the evidence that PCC is of high value to the ED setting and should be standardized in practice.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.749
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.114
GPT teacher head0.402
Teacher spread0.288 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations65
Published2022
Admission routes2
Has abstractyes

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