Evidence map›Paper›PMID 29318124›Full record

ArticleIranian journal of public health2018

Assessing Medical Tourism Services Quality Using SERVQUAL Model: A Patient's Perspective.

Mohammad Qolipour, Amin Torabipour, Farzad Faraji Khiavi, Amal Saki Malehi

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Article in Iranian journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 4 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  3. The Servqual Method as an Assessment Tool of the Quality of Medical Services in Selected Asian Countries.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mohammad QolipourDept. of Health Services Management, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Amin TorabipourDept. of Health Services Management, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Farzad Faraji KhiaviDept. of Health Services Management, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Amal Saki MalehiDept. of Biostatistics and Epidemiology, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContinuous quality improvement of the hospital services is a basic requirement of medical tourism industry. The different dimensions of hospital services quality are assessed constantly to improve the service of medical tourism. The aim of this study was to determine the services quality of medical tourism in private and public hospitals.

methodsIn this cross-sectional study, the quality of hospital services were assessed in view of 250 Iraqi tourists referred to Ahvaz private and public hospitals in 2015. Data were collected using a valid medical tourism SERVQUAL questionnaire (MTSQ). This questionnaire includes 8 main dimensions with 31 items. Finally, Mann-Whitney, Kruskal-Wallis and Wilcoxon tests were used to analyze the data.

resultsThe mean of age of patients was 39±2.2 yr. The mean of hospital length of stay was 3.87±1.36 days. The most patients were admitted to Orthopedics, Otorhinolaryngology, Obstetrics, and Gynecology departments, respectively. There was a negative gap in all of the dimensions of service quality in the studied hospitals (

conclusionThere was a negative gap in all of the dimensions of service quality in the studied hospitals. Therefore, the hospital services quality is improved to attract the foreign patients.

Indexed as

Gap analysisHospitalMedical tourismService quality

Identifiers

PMID29318124
PMCPMC5756584

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.