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Record W4393169312

Assessment of Compliance of Medical Tourists Host Hospitals in Shiraz with Global Criteria

2019· article· en· W4393169312 on OpenAlexaff
Omid Sadeghkhani, Sara Shahbazi, Hamid Talebianpour, Parisa Bikineh, Peivand Bastani

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2019
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Healthcare and Medical Tourism
Canadian institutionsInstitute of Health Economics
Fundersnot available
KeywordsCompliance (psychology)Host (biology)Host factorsBusinessMedicinePsychologyBiologyVirologyEcologySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Assessment of Compliance of Medical Tourists Host Hospitals in Shiraz with Global Criteria Sadeghkhani Omid1, Shahbazi Sara2, Talebianpour Hamid3, Bikineh Parisa4, Bastani Peivand5* 1. MSc Student in Healthcare Management, Student Research Committee, School of Management and Medical Informatics, Shiraz University of Medical Sciences, Shiraz, Iran 2. MSc Student in Healthcare Management, School of Public Health, Department of Management Sciences and Economics, Tehran University of Medical Sciences, Tehran, Iran 3. Ph.D. Student in Health Economy, School of Public Health, Department of Management Sciences and Economics, Tehran University of Medical Sciences, Tehran, Iran 4. MSc Student in Healthcare Management, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran 5. Associate Professor, Health Human Resources Research Center, Shiraz University of Medical Sciences, Shiraz, Iran *Correspondence: Health Care Management and Medical Informatics School, Almas Building, Alley 29, Ghasrodasht Ave., Shiraz, Iran. Tel: 00987132340039 Email: bastanip@sums.ac.ir Abstract: Background & Objectives: Medical tourism as a growing industry contributes to GDP growth and employment, and improves infrastructure in the country. Hospitals compliance with global criteria would undoubtedly increase the quality of therapeutic services for medical tourists. Hence, this study was conducted to evaluate the compliance of hospitals of Shiraz hosting medical tourists with global criteria. Methods: This descriptive-analytical cross-sectional study was conducted in six hospitals with medical tourism units in Shiraz in 2018. Data were collected through a researcher-made checklist containing 48 questions with 6 dimensions. Data were analyzed using Spearman's correlation coefficient by SPSS version 22. Results: The examined hospitals were compliant with global criteria in terms of infrastructure facilities, quality of health services, and human resources management. In terms of accreditation and welfare dimensions, 3 hospitals matched with global criteria. However, none of the hospitals matched with global criteria of medical tourism services dimension. There was a significant correlation between the number of active beds and welfare services (P=0.00). Conclusion: According to the relative compliance of Shiraz hospitals with global criteria for admission of medical tourists, it is necessary to pay attention to welfare and medical tourism services in order to develop medical tourism in Shiraz. Key­words: Medical tourism, International patient, Private hospital, Global criteria ­Citation: Sadeghkhani O, Shahbazi S, Talebianpour H, Bikineh P, Bastani P. Assessment of Compliance of Medical Tourists Host Hospitals in Shiraz with Global Criteria. Journal of Health Based Research 2019; 5(1): 29-43. [In Persian]

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.335
GPT teacher head0.683
Teacher spread0.348 · 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 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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