Evidence map›Paper›PMID 31300894›Full record

ArticleJournal of medical systems2019

Effect of an Online Appointment Scheduling System on Evaluation Metrics of Outpatient Scheduling System: a before-after MulticenterStudy.

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

Open access · greenAbstract readEvaluation StudyMulticenter Study
PubMed Publisher
In one paragraph

Article in Journal of medical systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.9field-weighted citation impact, top 5% of its field
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

14 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Automated patient self-scheduling: case study.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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 at 2 institutions in 2 countries.

Mohammad Reza Mazaheri HabibiDepartment of Health Information Technology, Varastegan Institute for Medical Sciences, Mashhad, Iran.
Fahimeh MohammadabadiStudents 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. EslamiS@mums.ac.ir.
Mashhad University of Medical Sciences · IRUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Online appointment scheduling systems have been designed in response to the problems of the traditional ones. In Iran, most outpatient clinics and our study population suffer from high patient' no-show rate and long waiting times because of not using online appointment scheduling system. In this study, the effect of an online appointment scheduling system was investigated by comparing the evaluation metrics of appointment scheduling before and after the intervention. This before-after pilot study was conducted on ten outpatient clinics with different specializations. Five clinics were selected as the intervention group and five clinics as the control group. A checklist was designed to evaluate appointment scheduling metrics. These checklists were completed from April to July 2017 in the pre-implementation phase and from September to December 2017 in the post-implementation phase. The evaluation metrics were evaluated before and after the implementation of the online appointment scheduling system. A total of 470 checklists containing 9034 patients' information and 460 checklists containing 9130 patients' information were completed at the pre- and post-implementation phases, respectively. There were significant positive effect on the improvement of the three metrics means, including Patient waiting time (38.2 min before vs. 23.8 min after the intervention), No-show rate (25% before vs. 11% after the intervention), and Physician punctuality (-30 min before vs. -14.2 min after the intervention). The use of an online appointment scheduling system was successful in improving several evaluation metrics in our target population and resulted in continued usage in intervention group clinics.

Indexed as

Ambulatory Care FacilitiesAppointments and SchedulesInternetChecklistEvaluation Studies as TopicTime FactorsEvaluation metricsOnline appointment scheduling systemOutpatient clinics

Identifiers

PMID31300894
OpenAlexW2958473609

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.