Evidence map›Paper›PMID 38983686›Full record

ArticleHealth science reports2024

Evaluation of no-show rate in outpatient clinics with open access scheduling system: A systematic review.

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

Abstract read
In one paragraph

Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Optimizing participation in digital health studies: understanding appointment attendance.Journal of the American Medical Informatics Association : JAMIA · 2026
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  3. Article
  4. Article
  5. Article
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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

7 authors.

Mohammad Reza Mazaheri HabibiDepartment of Health Information Technology Varastegan Institute for Medical Sciences Mashhad Iran.ORCID https://orcid.org/0000-0001-8096-2530
Fahimeh Mohammad AbadiStudents 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.
Kosar GhaddaripouriDepartment of Health Information Management, School of Health Management and Information Sciences Shiraz University of Medical Sciences Shiraz Iran.
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

Background: Patients' missed appointments can cause interference in the functions of the clinics and the visit of other patients. One of the most effective strategies to solve the problem of no-show rate is the use of an open access scheduling system (OA). This systematic review was conducted with the aim of investigating the impact of OA on the rate of no-show of patients in outpatient clinics. Methods: Relevant articles in English were investigated based on the keywords in title and abstract using PubMed, Scopus, and Web of Science databases and Google Scholar search engine (July 23, 2023). The articles using OA and reporting the no-show rate were included. Exclusion criteria were as follows: (1) review articles, opinion, and letters, (2) inpatient scheduling system articles, and (3) modeling or simulating OA articles. Data were extracted from the selected articles about such issues as study design, outcome measures, interventions, results, and quality score. Findings: From a total of 23,403 studies, 16 articles were selected. The specialized fields included family medicine (62.5%, 10), pediatrics (25%, four), ophthalmology, podiatric, geriatrics, internal medicine, and primary care (6.25%, one). Of 16 articles, 10 papers (62.5%) showed a significant decrease in the no-show rate. In four articles (25%), the no-show rate was not significantly reduced. In two papers (12.5%), there were no significant changes. Conclusions: According to this study results, it seems that in most outpatient clinics, the use of OA by considering some conditions such as conducting needs assessment and system design based on the patients' and providers' actual needs, and cooperating of all system stakeholders through consistent training caused a significant decrease in the no-show rate.

Indexed as

no‐show rateopen access scheduling systemoutpatient clinics

Identifiers

PMID38983686
PMCPMC11231932

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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.