Evidence map›Paper›PMID 25870528›Full record

ArticleMateria socio-medica2015

Rate of medical errors in affiliated hospitals of mazandaran university of medical sciences.

Benyamin Mohseni Saravi, Alireza Mardanshahi, Mansour Ranjbar, Hasan Siamian, Masoud Shayeste Azar, Zolikah Asghari, Nima Motamed

Abstract read
In one paragraph

Article in Materia socio-medica, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. 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.

Benyamin Mohseni SaraviHealth information management, Mazandaran University of Medical Sciences, Sari, Iran.
Alireza MardanshahiNuclear Medicine Department. Mazandaran University of Medical Sciences, Sari, Iran.
Mansour RanjbarHuman Resources Management, Mazandaran University of Medical Sciences, Sari, Iran.
Hasan SiamianHealth Information Technology Department, School of Allied Medical Sciences, Mazandaran University of Medical Sciences, Sari, Mazandaran, Iran.
Masoud Shayeste AzarOrthopedics Department, Mazandaran University of Medical Sciences, Sari, Iran.
Zolikah AsghariHealth information management, Mazandaran University of Medical Sciences, Sari, Iran.
Nima MotamedSocial Medicine Department, Zanjan University of Medical Sciences, Zanjan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealth care organizations are highly specialized and complex. Thus we may expect the adverse events will inevitably occur. Building a medical error reporting system to analyze the reported preventable adverse events and learn from their results can help to prevent the repeat of these events. The medical errors which were reported to the Clinical Governance's office of Mazandaran University of Medical Sciences (MazUMS) in years 2011-2012 were analyzed. METHODS AND MATERIALS: This is a descriptive retrospective study in which 18 public hospitals were participated. The instrument of data collection was checklist that was designed by the Ministry of Health of Iran. Variables were type of hospital, unit of hospital, season, severity of event and type of error. The data were analyzed with SPSS software.

resultsOf 317966 admissions 182 cases, about 0.06%, medical error reported of which most of the reports (%51.6) were from non- teaching hospitals. Among various units of hospital, the highest frequency of medical error was related to surgical unit (%42.3). The frequency of medical error according to the type of error was also evaluated of which the highest frequency was related to inappropriate and no care (totally 37%) and medication error 28%. We also analyzed the data with respect to the effect of the error on a patient of which the highest frequency was related to minor effect (44.5%).

conclusionThe results showed that a wide variety of errors. Encourage and revision of the reporting process will be result to know more data for prevention of them.

Indexed as

Adverse Event ReportsHospitalsMedical ErrorPatient Safety

Identifiers

PMID25870528
PMCPMC4384853

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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.