Evidence map›Paper›PMID 30131937›Full record

ArticleJournal of advanced pharmaceutical technology & research

Evaluation of patient satisfaction of the status of appointment scheduling systems in outpatient clinics: Identifying patients' needs.

Mohammad Reza Mazaheri Habibi, Fahimeh Mohammad Abadi, Hamed Tabesh, Hasan Vakili-Arki, Ameen Abu-Hanna, Saeid Eslami

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Article in Journal of advanced pharmaceutical technology & research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

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  15. Big data simulations for capacity improvement in a general ophthalmology clinic.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2021
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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

6 authors.

Mohammad Reza Mazaheri HabibiStudent Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
Fahimeh Mohammad AbadiStudent Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
Hamed TabeshDepartment of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Hasan Vakili-ArkiDepartment of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Ameen Abu-HannaDepartment of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Saeid EslamiDepartment of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Appointment scheduling systems are potentially useful tools for enhancing the patient satisfaction. This study was conducted to inspect patient's needs and satisfaction of the current status of appointment scheduling systems in outpatient clinics. This cross-sectional study was conducted in 10 outpatient clinics with different specializations. The outpatient clinics were selected based on the stratified randomization method. Data were collected using a questionnaire from December 2016 to March 2017. The questionnaire reliability was measured with the participation of 15 patients using the test-retest method. The content validity was also evaluated by 13 experts. A total of 319 patients completed the survey. The mean score of overall patient satisfaction and the patient satisfaction of the clinic environment were 6.73 ± 0.16 and 8.30 ± 0.12, respectively. The average waiting time was 64.2 ± 3.45 min. The service time took on an average 9.85 ± 0.37 min. The patient satisfaction of the clinic environment (

Indexed as

Appointment scheduling systemoutpatient clinicsoverall patient satisfaction

Identifiers

PMID30131937
PMCPMC6078003

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Registered trials

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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.