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Postinjury Complications: Retrospective Study of Causative Factors


This distinguished health care–associated harm, which was potentially preventable, from harm related to underlying patient disease.

Elizabeth Warnack, Hersch Leon Pachter, Beatrix Choi, Charles DiMaggio, Spiros Frangos, Michael Klein, Marko Bukur

JMIR Hum Factors 2019;6(3):e14819

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A Digital Patient-Led Hospital Checklist for Enhancing Safety in Cataract Surgery: Qualitative Study

The associated costs are estimated at 0.5% of the national hospital care budget and, since only direct costs were considered, this calculation is likely an underestimation of the real costs [2].Surgery is a high-risk area for iatrogenic patient harm [3,4].

Aline C Stolk-Vos, Jolet JE van der Steen, Constance HC Drossaert, Annemarie Braakman-Jansen, Bart LM Zijlmans, Leonieke W Kranenburg, Dirk F de Korne

JMIR Perioper Med 2018;1(2):e3

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Exploring the Use and Effects of Deliberate Self-Harm Websites: An Internet-Based Study

websites/forums, (2) to explore the beliefs of users of self-harm forums regarding the role of such websites, (3) to explore how the use of self-harm websites/forums modulates self-harm behaviors, and (4) to identify other ways that self-harm websites/forums

Isobel Marion Harris, Lesley Martine Roberts

J Med Internet Res 2013;15(12):e285

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Epidemiology of Patient Harms in New Zealand: Protocol of a General Practice Records Review Study

knowledge about the epidemiology of harm: the types of patient harms that occur, their likelihood of occurrence, severity, and degree of preventability.

Susan M Dovey, Sharon Leitch, Katharine A Wallis, Kyle S Eggleton, Wayne K Cunningham, Martyn I Williamson, Steven Lillis, Andrew W McMenamin, Murray W Tilyard, David M Reith, Ari Samaranayaka, Jason E Hall

JMIR Res Protoc 2017;6(1):e10

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Patient and Consumer Safety Risks When Using Conversational Assistants for Medical Information: An Observational Study of Siri, Alexa, and Google Assistant

Bickmore and Giorgino [6] reviewed research and methods in patient-facing natural language dialogue systems in health care.

Timothy W. Bickmore, Ha Trinh, Stefan Olafsson, Teresa K O'Leary, Reza Asadi, Nathaniel M Rickles, Ricardo Cruz

J Med Internet Res 2018;20(9):e11510

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Identifying and Predicting Intentional Self-Harm in Electronic Health Record Clinical Notes: Deep Learning Approach

For each patient in the study group, we selected the first intentional self-harm recorded in the chart during the study period (ie, 2012-2019). We filtered the notes within a 24-hour period of the intentional self-harm time stamp.

Jihad S Obeid, Jennifer Dahne, Sean Christensen, Samuel Howard, Tami Crawford, Lewis J Frey, Tracy Stecker, Brian E Bunnell

JMIR Med Inform 2020;8(7):e17784

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Can Google Searches Predict the Popularity and Harm of Psychoactive Agents?

The OR operator let us determine the frequency of page hits for the drug names and “harmful” or “harm” (Ni, harm).

Wojciech Jankowski, Marcin Hoffmann

J Med Internet Res 2016;18(2):e38

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Trigger Tool–Based Automated Adverse Event Detection in Electronic Health Records: Systematic Review

Severity levels based on the National Coordinating Council for Medication Error Reporting and Prevention: D=an error that reached the patient and required monitoring or intervention to confirm that it resulted in no harm to the patient; E=temporary harm to

Sarah N Musy, Dietmar Ausserhofer, René Schwendimann, Hans Ulrich Rothen, Marie-Madlen Jeitziner, Anne WS Rutjes, Michael Simon

J Med Internet Res 2018;20(5):e198

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Assessing the Comparability of Paper and Electronic Versions of the EORTC QOL Module for Head and Neck Cancer: A Qualitative Study

IntroductionPatient-reported outcomes (PROs) are used in clinical trials and clinical practice to assess symptoms, impacts, and health-related quality of life (HRQoL) from the patient perspective.

Josephine Norquist, Diana Chirovsky, Teja Munshi, Chloe Tolley, Charlotte Panter, Adam Gater

JMIR Cancer 2017;3(1):e7

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Developing a Text Messaging Intervention to Reduce Deliberate Self-Harm in Chinese Adolescents: Qualitative Study

The aim was to gain their perspectives on how to reduce their deliberate self-harm.

Suqian Duan, Haoran Wang, Amanda Wilson, Jiexi Qiu, Guanmei Chen, Yuqiong He, Yuanyuan Wang, Jianjun Ou, Runsen Chen

JMIR Mhealth Uhealth 2020;8(6):e16963

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