Evidence map›Paper›PMID 32765137›Full record

ArticleRisk management and healthcare policy2020

Policies vs Practice of Medical Error Disclosure at a Teaching Hospital in Saudi Arabia.

Reem Al Madani, Saja A Al-Rayes, Arwa Alumran

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2020. 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. Article
  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.

Reem Al MadaniRisk Management Unit, Directorate of Quality and Safety, King Fahad Hospital of the University, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Saja A Al-RayesHealth Information Management and Technology Department, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID 0000-0001-9908-7756
Arwa AlumranHealth Information Management and Technology Department, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID 0000-0001-6454-3678

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical errors are unavoidable in health care institutions. Errors can occur due to multiple reasons, yet communication between health care providers has proven to be the highest. However, policies and programs of medical error disclosure were established to ensure that patients and their family members get the necessary closure. Hence, it is vital to recognize physicians' awareness of policies and programs related to disclosure practice.

objectiveThe objective of this study was to examine factors impacting the awareness of hospital policies and programs and their impact on the actual disclosure of medical errors.

methodsThis was a quantitative cross-sectional study, using a self-administered survey given to 206 physicians from numerous departments at King Fahd Hospital of the University.

resultsThe majority of participants were not aware of policies and programs related to disclosure, nor had they disclosed a medical error to patients. There was no statistical significance between policies and programs and the practice of disclosure, yet position level and gender were statistically significantly related to awareness.

conclusionPhysicians of King Fahd Hospital of the University demonstrated a low awareness rate of the hospital policies and programs regarding disclosure practice. Advanced efforts of hospital leaders need to be made to communicate, train and educate providers about their policies to promote disclosure practice.

Indexed as

disclosuremedical errorspoliciesprocedure

Identifiers

PMID32765137
PMCPMC7381814

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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.