Evidence map›Paper›PMID 40309620›Full record

ArticleHealth science reports2025

Examining the Reasons for Patient No-Show in an Outpatient Adult Rehabilitation Department in King Abdulaziz Medical City, Riyadh: A Cross-Sectional Study.

Reouf B AlOsaimi, Najla M Aljehani, Turki Aljuhani

Abstract read
In one paragraph

Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

3 authors.

Reouf B AlOsaimiRehabilitation Services, King Abdulaziz Medical City Ministry of National Guard Health Affairs Riyadh Saudi Arabia.ORCID 0009-0007-9669-3102
Najla M AljehaniDepartment of Public Health, College of Health Sciences The Saudi Electronic University Riyadh Saudi Arabia.
Turki AljuhaniDepartment of Occupational Therapy, College of Applied Medical Sciences King Saud Bin Abdulaziz University for Health Sciences Riyadh Saudi Arabia.ORCID 0000-0002-4798-8103

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patient no-show is a long-standing health issue that impacts the quality of healthcare services and resource utilization. No-show creates a financial burden on healthcare systems and adds to the patient waiting list. Aims: The aim of the study is to investigate the prevalence of no-show and the most common underlying reasons among adult patients at the physiotherapy and occupational departments. Methods: This cross-sectional study was conducted at the Adult Rehabilitation Department of King Abdulaziz Medical City in Riyadh. Patients who failed to show up for their appointments were contacted via telephone. Data were collected using a telephonic questionnaire. Patient medical files were used to obtain demographic information and diagnoses. Results: During the study period, 336 patients did not show up to their appointments, representing 21% of the total appointments. Among the 336 patients, 140 were included in the study. The most common reason for no-show was being sick on the day of the appointment (24%). Other common reasons were living outside Riyadh or needing an ambulance for transportation (17%). The third most common reason was an inconvenient appointment time or date (15%). Conclusion: The study findings suggest that to overcome this problem, patient awareness must be increased regarding the fact that their absence from therapy sessions can negatively affect their health states, prolong their illness, and worsen their condition.

Indexed as

adults & rehabilitationappointmentno‐showoutpatient

Identifiers

PMID40309620
PMCPMC12041131

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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.