National and Institutional Trends in Adverse Events Over Time: A Systematic Review and Meta-analysis of Longitudinal Retrospective Patient Record Review Studies

Connolly, Warren; Li, Brian; Conroy, Ronán; Hickey, Anne; Williams, David J.; Rafter, Natasha

doi:10.1097/pts.0000000000000804

Cited by 9 publications

(9 citation statements)

References 39 publications

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“…However, the results also display a high level of heterogeneity within populations. The degree of heterogeneity is in accordance with previously published systematic reviews 22 23 25 76. The majority of studies were judged to be at high risk of bias, which also lowers the trust we place in the summary estimates.…”

Section: Discussionsupporting

confidence: 86%

Incidence and characteristics of adverse events in paediatric inpatient care: a systematic review and meta-analysis

et al. 2022

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BackgroundAdverse events (AEs) cause suffering for hospitalised children, a fragile patient group where the delivery of adequate timely care is of great importance.ObjectiveTo report the incidence and characteristics of AEs, in paediatric inpatient care, as detected with the Global Trigger Tool (GTT), the Trigger Tool (TT) or the Harvard Medical Practice Study (HMPS) method.MethodMEDLINE, Embase, Web of Science and Google Scholar were searched from inception to June 2021, without language restrictions. Studies using manual record review were included if paediatric data were reported separately. We excluded studies reporting: AEs for a specific disease/diagnosis/treatment/procedure, or deceased patients; study protocols with no AE outcomes; conference abstracts, editorials and systematic reviews; clinical incident reports as the primary data source; and studies focusing on specific AEs only. Methodological risk of bias was assessed using a tool based on the Quality Assessment Tool for Diagnostic Accuracy Studies 2. Primary outcome was the percentage of admissions with ≥1 AEs. All statistical analyses were stratified by record review methodology (GTT/TT or HMPS) and by type of population. Meta-analyses, applying random-effects models, were carried out. The variability of the pooled estimates was characterised by 95% prediction intervals (PIs).ResultsWe included 32 studies from 44 publications, conducted in 15 countries totalling 33 873 paediatric admissions. The total number of AEs identified was 8577. The most common types of AEs were nosocomial infections (range, 6.8%–59.6%) for the general care population and pulmonary-related (10.5%–36.7%) for intensive care. The reported incidence rates were highly heterogeneous. The PIs for the primary outcome were 3.8%–53.8% and 6.9%–91.6% for GTT/TT studies (general and intensive care population). The equivalent PI was 0.3%–33.7% for HMPS studies (general care). The PIs for preventable AEs were 7.4%–96.2% and 4.5%–98.9% for GTT/TT studies (general and intensive care population) and 10.4%–91.8% for HMPS studies (general care). The quality assessment indicated several methodological concerns regarding the included studies.ConclusionThe reported incidence of AEs is highly variable in paediatric inpatient care research, and it is not possible to estimate a reliable single rate. Poor reporting standards and methodological differences hinder the comparison of study results.

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Section: Discussionsupporting

confidence: 86%

Incidence and characteristics of adverse events in paediatric inpatient care: a systematic review and meta-analysis

et al. 2022

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“…A list of allergies must be stored in a repository to prevent drug allergies. These systems will duly work if we understand the nature of mistakes and try to improve them [ 27 ].…”

Section: Reviewmentioning

confidence: 99%

A Narrative Review of Adverse Event Detection, Monitoring, and Prevention in Indian Hospitals

Verman¹,

Anjankar²

2022

Cureus

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An adverse event is any abnormal clinical finding associated with the use of a therapy. Adverse events are classified by reporting an event's seriousness, expectedness, and relatedness. Monitoring patient safety is of utmost importance as more and more data becomes available. In reality, very low numbers of adverse events are reported via the official path. Chart review, voluntary reporting, computerized surveillance, and direct observation can detect adverse drug events. Medication errors are commonly seen in hospitals and need provider and system-based interventions to prevent them. The need of the hour in India is to develop and implement medication safety best practices to avoid adverse events. The utility of artificial intelligence techniques in adverse event detection remains unexplored, and their accuracy and precision need to be studied in a controlled setting. There is a need to develop predictive models to assess the likelihood of adverse reactions while testing novel pharmaceutical drugs.

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“…Nepageidautinų įvykių ligoninėse sumažinimas "iki nulio" yra siekinys, tačiau labai sunkiai pasiekiamas, nes tai priklauso nuo aplinkos, kultūrinių, sisteminių ir institucinių ypatumų [18,19]. Nepaisant didelių pastangų gerinti sveikatos priežiūros kokybę, mažinti nepageidautinų įvykių skaičių, jie kelia didelę grėsmę kokybei ir yra visuotinė problema.…”

Section: įVadasunclassified

Sveikatos Priežiūros Kokybės Ligoninėje Pokyčiai Valstybės Lygio Ekstremaliosios Situacijos Ir Karantino Dėl Covid-19 Metu Nepageidautinų Įvykių Aspektu: Atvejo Analizė

Janušonis¹,

Janušonytė²

2021

Health Sciences

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Sveikatos priežiūros kokybė ligoninėse ir vienas jos žymenų – nepageidautini įvykiai (kiekis, spektras, pasekmės) valstybės lygio ekstremaliosios situacijos ir karantino dėl Covid-19 metu gali skirtis nuo būklės ikiepideminiu laikotarpiu. Tyrimo tikslas – įvertinti nepageidautinų įvykių ligoninėje pokyčius ir jų įtaką sveikatos priežiūros kokybei valstybės lygio ekstremaliosios situacijos ir karantino dėl Covid-19 metu. Atliekant tyrimą, analizuotos įvairių šalių autorių mokslinės publikacijos, tirti nepageidautinų įvykių ekspertuoti pranešimai valstybės lygio ekstremaliosios situacijos ir karantino dėl Covid-19 metu 2020 m. ir tuo pačiu laikotarpiu 2019 metais. Atskleisti nepageidautinų įvykių spektro, priežastinių veiksnių, rizikos laipsnių bei išvengiamumo pokyčiai ir jų priežastys. Duomenys palyginti su kitų šalių patirtimi. Nustatyta, kad įvairūs nepageidautinų įvykių aspektai valstybės lygio ekstremaliosios situacijos ir karantino dėl Covid-19 metu ir tuo pačiu laikotarpiu iki Covid-19 epidemijos yra skirtingi.

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National and Institutional Trends in Adverse Events Over Time: A Systematic Review and Meta-analysis of Longitudinal Retrospective Patient Record Review Studies

Abstract: Supplemental digital content is available in the text.

Cited by 9 publications

References 39 publications

Incidence and characteristics of adverse events in paediatric inpatient care: a systematic review and meta-analysis

Incidence and characteristics of adverse events in paediatric inpatient care: a systematic review and meta-analysis

A Narrative Review of Adverse Event Detection, Monitoring, and Prevention in Indian Hospitals

Sveikatos Priežiūros Kokybės Ligoninėje Pokyčiai Valstybės Lygio Ekstremaliosios Situacijos Ir Karantino Dėl Covid-19 Metu Nepageidautinų Įvykių Aspektu: Atvejo Analizė

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