Evidence map›Paper›PMID 38056938›Full record

ArticleBMJ open2023

Estimating the frequency of inpatient adverse events using a two-step retrospective chart review: a study protocol.

Syed Sabih Ul Hassan, Fozia Asif, Ghazal Haque, Farwa Ayub, Tahir Munir, Fauzia Khan, Sameen Siddiqi, Asad Latif

Abstract read
In one paragraph

Article in BMJ open, 2023. 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

8 authors.

Syed Sabih Ul HassanCentre for Patient Safety, The Aga Khan University, Karachi, Sindh, Pakistan.ORCID 0000-0001-8443-134X
Fozia AsifCentre for Patient Safety, The Aga Khan University, Karachi, Sindh, Pakistan.
Ghazal HaqueCentre for Patient Safety, The Aga Khan University, Karachi, Sindh, Pakistan.
Farwa AyubCentre for Patient Safety, The Aga Khan University, Karachi, Sindh, Pakistan.
Tahir MunirDepartment of Anaesthesiology, The Aga Khan University, Karachi, Sindh, Pakistan.
Fauzia KhanDepartment of Anaesthesiology, The Aga Khan University, Karachi, Sindh, Pakistan.ORCID 0000-0002-0814-9681
Sameen SiddiqiDepartment of Community Health Sciences, The Aga Khan University, Karachi, Sindh, Pakistan.ORCID 0000-0001-8289-0964
Asad LatifCentre for Patient Safety, The Aga Khan University, Karachi, Sindh, Pakistan asad.latif@aku.edu.ORCID 0000-0002-1298-1198

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAdverse events are a major cause of patient harm in the hospitalised setting. Low-income and middle-income countries account for a disproportionate share of the global burden of adverse events. However, patient safety research is still centred around high-income countries and high-resource health systems. The methods and data produced from these efforts are ill-suited to low-income and middle-income systems due to the social and technical differences between these settings. We aim to use our pilot-tested, locally developed methodology to estimate the frequency and characteristics of adverse events in hospitalised patients in a lower-middle-income country to inform patient safety policies and initiatives. METHODS AND ANALYSIS: This multi-centre study will employ a two-step chart review methodology to identify adverse events in a representative sample of patients admitted at five hospitals between 1 January 2019 and 31 December 2019. The first step will include assessing patient files against a list of triggers to detect adverse events and the second step will involve an in-depth review of the events to capture pertinent characteristics. The triggers have been adapted from validated tools used in other studies. The reviewing team will be trained on the use of research tools and operational definitions to ensure that data are collected uniformly. The main outcome of interest is the rate at which adverse events occur in hospitalised patients. Further analysis will look to identify and quantify associations between the main outcome of interest and a variety of variables such as patient age and gender using tests of independence and regression techniques. ETHICS AND DISSEMINATION: This study protocol has been approved by the Ethics Review Committee at Aga Khan University (Reference number: 2023-6324-24566). The findings of this study will be published in a peer-reviewed journal and disseminated to the public through national and international conferences, workshops, websites and social media.

Indexed as

InpatientsResearch DesignHumansIncomeMulticenter Studies as TopicPatient SafetyRetrospective StudiesHealth & safetyQuality in health careRetrospective Studies

Identifiers

PMID38056938
PMCPMC10711861

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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.