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Record W4327814888 · doi:10.1155/2023/7584670

Point of Care Ultrasound (POCUS) Utilization and Barriers by Senior Emergency Medicine and Critical Care Residents at Two Teaching Referral Hospitals, Addis Ababa, Ethiopia

2023· article· en· W4327814888 on OpenAlex
Ayalew Zewdie Tadesse, Temesgen Beyene, Dirijit Mamo Alemu, Anne Aspler

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEmergency Medicine International · 2023
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineReferralPoint of care ultrasoundFamily medicineCritically illEmergency medicineCross-sectional studyTertiary careEmergency departmentNursingInternal medicine

Abstract

fetched live from OpenAlex

Background. POCUS has become an integral part of the practice of emergency medicine. POCUS is a highly focused, limited, goal-directed exam with the expressed purpose of answering selected questions used at the bedside for critically ill patients who are not stable. We aimed to assess POCUS utilization and barriers by senior-year emergency medicine and critical care residents at two tertiary academic and referral hospitals in Addis Ababa, Ethiopia. Methodology. A cross-sectional study was conducted from June 1 to August 30, 2022 in St Paul’s Hospital Millennium Medical College and Tikur Anbessa Specialized Hospital using an electronic survey of senior-year (second and third years) emergency medicine and critical care residents. Data were collected using Goggle form, exported to SPSS version 24, and then analyzed. Result. Seventy-six residents out of 78 (97.4%) responded to the online survey. The mean age was 29.9 years with an SD of 2.87. Fifty-six residents (73.7%) were male and 45 (59.2%) were year 2 residents. Sixty-one (76.3%) had previous POCUS training. Fifty residents (82.0%) received training from the classroom. Twenty-seven residents (35.5%) rated their current level of knowledge as good for sterile transducer techniques, 28 (36.8%) rated fair for their knobology, and 27 (35.5%) rated very good for their transducer selection knowledge. Thirty-two (42.1%) rated very good about their ability to interpret IVC. 26 (34.2%) responded that they had good ability to interpret FAST/EFAST. Forty-nine (64.5%) residents claimed lack of an ultrasound machine followed by 33 (43.4%) lack of organized curriculum were the main barriers to POCUS utilization. Forty-two (55.3%) residents preferred to complete face-to-face teaching, while 33 (43.4%) preferred blended learning both face-to-face and online. Conclusion. POCUS is performed by the majority of EMCC residents. The most frequent scans performed by residents were FAST, IVC, and lung scans. Lack of ultrasound machine and organized curriculum was the main barrier to US utilization. Availability of equipment, face-to-face training, and having an organized curriculum are recommended by residents to improve their skills in the future.

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.

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)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.000

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 head0.058
GPT teacher head0.431
Teacher spread0.373 · 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