scholarly journals Adverse event reporting in intervention research for young autistic children

Autism ◽  
2020 ◽  
pp. 136236132096533
Author(s):  
Kristen Bottema-Beutel ◽  
Shannon Crowley ◽  
Micheal Sandbank ◽  
Tiffany G Woynaroski

Our team examined 150 reports on group-design, non-pharmacological interventions for young autistic children, to determine the prevalence of adverse event reporting. We found that only 11 studies mentioned adverse events; one indicated adverse events occurred, and an additional three indicated adverse effects occurred (i.e. adverse events that could be attributed to the intervention). We also coded reasons for participant withdrawal and found that of the 54 studies that reported reasons for withdrawal, 10 studies reported reasons that could be categorized as adverse events, 8 reported reasons that could be categorized as adverse effects, and an additional 12 studies reported reasons that were too vaguely described to determine adverse event status. We recommend that autism intervention researchers make concerted efforts to monitor, classify, and report adverse events so that practitioners, policy-makers, and families are better equipped to weigh potential benefits of interventions against potential harms. Lay abstract In this study, we looked at published research on interventions for young autistic children that did not involve administering medication. We were interested in determining how often studies reported on whether adverse events (i.e. physical or psychological distress to the participants) or adverse effects (i.e. adverse events that are thought to be caused by the intervention) had occurred. We found that of the 150 reports we examined, only 11 mentioned adverse events. One of these studies reported adverse events occurred, and three reported that adverse effects occurred. We also reviewed the studies to examine the reasons that were given to explain why any participants dropped out of the intervention (termed “withdrawal”), to determine if any of these reasons could be considered adverse events or adverse effects. Fifty-four studies described reasons for withdrawal, and 10 of these studies had reasons that could be categorized as an adverse event, 8 studies had reasons that could be categorized as an adverse effect, and an additional 12 studies had reasons that were too vaguely described to determine whether they were adverse events or not. We recommend that autism intervention researchers develop more systematic methods of looking for and reporting adverse events and effects, so that professionals and families can be better informed when choosing to enroll their autistic children in interventions.

Vaccine ◽  
2019 ◽  
Vol 37 (44) ◽  
pp. 6760-6767 ◽  
Author(s):  
Michael M. McNeil ◽  
Iwona Paradowska-Stankiewicz ◽  
Elaine R. Miller ◽  
Paige L. Marquez ◽  
Srihari Seshadri ◽  
...  

2018 ◽  
Vol 268 ◽  
pp. 441-446 ◽  
Author(s):  
Yoon Kyong Lee ◽  
Jung Su Shin ◽  
Youngwon Kim ◽  
Jae Hyun Kim ◽  
Yun-Kyoung Song ◽  
...  

Author(s):  
Benjamin M. Knisely ◽  
Camille Levine ◽  
Kush C. Kharod ◽  
Monifa Vaughn-Cooke

Humans can contribute to error at all stages of the medical device product life-cycle. Use error associated with medical devices can result in catastrophic consequences for end users and inefficient use of healthcare system resources. Industry-wide statistics about medical device use error has the potential to aid in identifying opportunities for human factors intervention, however publicly available statistics are sparse. The Food and Drug Administration (FDA) requires medical device manufactures, importers, and device user facilities to track and report adverse events for post-market surveillance through medical device reports (MDRs). This data is available in an online database: Manufacturer and User Facility Experience (MAUDE). This study provides a comprehensive evaluation of use error adverse events in MAUDE (2010-2018) based on device class, device operator, and event outcome, to address the lack of industry-wide statistics on medical device use error. Results indicate that use error is significantly represented in adverse event reporting, constituting 28.1% of reports labeled with device problem codes. Events associated with patient device operators were predominately associated with diabetes-related medical devices, while provider operators were associated with a wider array of devices. Additionally, it was found that most use error reports were attributed to issues with device output; using the device in accordance with manufacturer expectations; and physically activating, positioning, or separating device components. This work demonstrates the viability of using MAUDE to attain industry wide statistics on medical device use error for later integration in industry-wide or device-specific risk mitigation strategies.


2004 ◽  
Vol 1 (1) ◽  
pp. 2-2

Hunt JM and Gjoka G. Nurse reporting of adverse events caused by medicines. Nursing Times 2003; 99(49): 24–25.


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