Evidence map›Paper›PMID 34393446›Full record

ArticleBioinformation2021

Data on healthcare perceptions about system risk factors associated with patient safety from the Ministry of Health hospitals in Hail Region of Saudi Arabia.

Fares Alshammari, Hamoud Fahad Alshammari, Bandar Alsaedi, Rafat Zreiq, Fahad D Algahtan

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Fares AlshammariDepartment of Health Informatics, College of Public Health and Health Informatics, University of Ha'il, Ha'il, Saudi Arabia.
Hamoud Fahad AlshammariDepartment of Health administration, College of Public Health and Health Informatics, University of Ha'il, Ha'il, Saudi Arabia.
Bandar AlsaediDepartment of Health administration, College of Public Health and Health Informatics, University of Ha'il, Ha'il, Saudi Arabia.
Rafat ZreiqDepartment of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il, Saudi Arabia.
Fahad D AlgahtanDepartment of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il, Saudi Arabia.
University of Ha'il · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient protection has become one of the key elements of the quality of health care systems in Saudi Arabia. Medical errors that threaten patient safety are mediated by several factors including system risk factors. Hence, we used a self-structured questionnaire to assess and rank the system factors according to the perceptions of nurses working in the hospitals of the ministry of health in Hail, KSA. Eight out of twelve factors tested were perceived as threatening factors of the patient safety that are; 'Shortage of medical staff', 'Poor design of the hospital structure', 'Long working hours', 'Overcrowding of patients','Poor coordination between hospital departments, 'Punitive and blaming environment, 'Lack of clinical practice standards' and, 'Poor financial incentives'. Thus, considering the negative impact of the identified threatening system factors in this study on patient safety, urgent planning and managing appropriate corrective actions should be designed to improve patient safety issues.

Indexed as

medical errorsPatient safetySaudi Arabiasystem factors

Identifiers

PMID34393446
PMCPMC8340706
OpenAlexW3130951011

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.