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Record W1977881802 · doi:10.2147/jmdh.s72633

Barriers to discharge in an acute care medical teaching unit: a qualitative analysis of health providers’ perceptions

2015· article· en· W1977881802 on OpenAlexaff
B. Okoniewska, Maria Santana, Horacio Groshaus, Svetlana Stajkovic, Jennifer Cowles, David Chakravorty, William A. Ghali

Bibliographic record

VenueJournal of Multidisciplinary Healthcare · 2015
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsFoothills Medical CentreAlberta Health ServicesUniversity of Calgary
Fundersnot available
KeywordsUnit (ring theory)Qualitative researchHealth careMedicinePerceptionMedical educationData scienceNursingPsychologyComputer scienceSociologyPolitical scienceSocial scienceMathematics education

Abstract

fetched live from OpenAlex

BACKGROUND: The complex process of discharging patients from acute care to community care requires a multifaceted interaction between all health care providers and patients. Poor communication in a patient's discharge can result in post hospital adverse events, readmission, and mortality. Because of the gravity of these problems, discharge planning has been emphasized as a potential solution. The purpose of this paper is to identify communication barriers to effective discharge planning in an acute care unit of a tertiary care center and to suggest solutions to these barriers. METHODS: Health care providers provided comments to a single open-ended question: "What are the communication barriers between the different health care providers that limit an effective discharge of patients from Unit 36?" We conducted qualitative thematic analysis by identifying themes related to communication barriers affecting a successful discharge process. RESULTS: Three broad themes related to barriers to the discharge process were identified: communication, lack of role clarity and lack of resources. We also identified two themes for opportunities for improvement, ie, structure and function of the medical team and need for leadership. CONCLUSION: While it was evident that poor communication was an overarching barrier identified by health care providers, other themes emerged. In an effort to increase inter-team communication, "bullet rounds", a condensed form of discharge rounds, were introduced to the medical teaching unit and occurred on a daily basis between the multidisciplinary team. To help facilitate provider-patient communication, electronic transfer of care summaries were suggested as a potential solution. To help role clarity, a discharge coordinator and/or liaison was suggested. Communication can be enhanced through use of electronic discharge summaries, bullet rounds, and implementation of a discharge coordinator(s). The findings from this study can be used to aid future researchers in devising appropriate discharging strategies that are focused around the patient and inter-health care provider communication.

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)0.014
metaresearch head score (Gemma)0.026
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 score0.024
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0080.007
Scholarly communication0.0050.004
Open science0.0020.005
Research integrity0.0020.004
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 head0.098
GPT teacher head0.490
Teacher spread0.392 · 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

Citations66
Published2015
Admission routes1
Has abstractyes

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