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Record W3216736066 · doi:10.3390/pharmacy9040193

Community Pharmacists’ Experiences and Perception about Transitions of Care from Hospital to Home in a Midwestern Metropolis

2021· article· en· W3216736066 on OpenAlexaff
R Vossen, Yifei Liu, Peggy G. Kuehl

Bibliographic record

VenuePharmacy · 2021
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsMedicine Hat College
Fundersnot available
KeywordsCronbach's alphaConstruct validityFace validityReliability (semiconductor)Descriptive statisticsPsychologyPerceptionContent validityMedical prescriptionItem analysisNursingFamily medicineMedicinePsychometricsClinical psychologyStatistics

Abstract

fetched live from OpenAlex

OBJECTIVES: (1) To describe the experiences of community pharmacists in transitions of care (TOC) from hospital to home in a Midwestern metropolis; and (2) to develop instruments to measure perceived importance of TOC activities. METHODS: Survey items were developed, including a six-item instrument to capture perceived importance of TOC activities. The items were piloted to examine face validity before dissemination to 310 community pharmacists. Descriptive statistics were reported. Principal component analysis and reliability analysis for the six-item instrument were performed to assess construct validity and Cronbach's alpha, respectively. RESULTS: = 118). The majority of community pharmacists estimated that they learned of a patient's discharge on less than 10% of the occasions. There were 76 cases in which the discharged patients experienced either a prescription- or medication-related problem. For the six-item measurement of perceived importance, one component was yielded and all items loaded on the component with high values, which confirmed construct validity. The Cronbach's alpha for these six items was 0.941, indicating high reliability. CONCLUSIONS: A large communication gap existed for community pharmacists to receive patient discharge information. The six-item instrument to measure perceived importance of TOC activities was valid and reliable.

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)0.000
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 score0.033
Threshold uncertainty score0.915

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.120
GPT teacher head0.440
Teacher spread0.319 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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