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Record W2563229695 · doi:10.3329/cmoshmcj.v15i1.28752

Introducing Interprofessional Education to Foster Patient Centred Health Care : A Quasi Experimental Experience in Bangladesh

2016· article· en· W2563229695 on OpenAlexfundno aff
Md Humayun Kabir Talukder, Md. Nuruzzaman, Tahmina Nargis

Bibliographic record

VenueChattagram Maa-O-Shishu Hospital Medical College Journal · 2016
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsnot available
FundersHealth CanadaFoundation for Advancement of International Medical Education and Research
KeywordsTeamworkInterprofessional educationMedical educationHealth careNursingPsychologyProfessional developmentQuality (philosophy)Medicine

Abstract

fetched live from OpenAlex

Introduction: Interprofessional education is considered to be an innovative and useful concept to accelerate the effort of transforming health professional education under health systems perspective. Generally Interprofessional Education (IPE) occurs when two or more professionals belong to different professional groups learn together through mutual interaction with the purpose to improve collaboration and the quality of care. The key for IPE is that the learning must be interactive. It is an important step in advancing health professional education for many years and has been endorsed by the Institute of Medicine as a mechanism to improve the overall quality of health care.Methods: Realizing the importance of IPE, a quasi experimental study was undertaken and conducted in Bangladesh in May 2014. Sample size was 32 out of which 15 teachers (Such as Professor, Associate Professor, Assistant Professor, Lecturer and Instructor) and 17 students of medical, dental, nursing, medical technology and allied health science institutes. All the participants voluntarily attended 5 sessions on basic concept on IPE, role delineation, communication, teamwork & team building and patient centered care followed by group work and group activities within three consecutive days. After those 5 sessions, views of the participants were sought through self administered structured questionnaire after data entry and analysis.Results: According to the study, 100% participants viewed that medical, dental, nursing, and medical technologists should have few common sessions in their student life while about 90.7% respondents opined that those sessions will develop positive relationship among them, which will help to feel and honor each other’s professional responsibilities viewed by all the respondents. It was also revealed that 96.9% respondents viewed that IPE sessions in student life will help to reduce silos in professional life. Better team work among doctors, nurses and medical technologists will ensure patient centered better health care was viewed by 100% respondents. Study recommended introducing IPE in Bangladesh to foster patient centered health care.Conclusion and Recommendation: The study concluded with recommendation that specific sessions for IPE should be incorporate in the under graduate education curriculum of the health professionals during their academic period and also during in- service period at workplace as part of their professional development to promote quality of care.Chatt Shi Hosp Med Coll J; Vol.15 (1); Jan 2016; Page 3-7

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)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.019
GPT teacher head0.400
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; 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 designNon-randomized trial
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

Citations5
Published2016
Admission routes1
Has abstractyes

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