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Authors' Response to Peer Reviews of “Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study”

Authors' Response to Peer Reviews of “Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study”

Introduction statement: “Therefore, we sought to determine whether SEM could be used to make this data set more ‘research friendly’ by attempting to create clinical constructs and model some well-known clinical associations between depression and accident & emergency (A&E) use in patients with type 2 diabetes.”

Amy Ronaldson, Mark Freestone, Haoyuan Zhang, William Marsh, Kamaldeep Bhui

JMIRx Med 2022;3(2):e38010

Peer Review of “Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study”

Peer Review of “Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study”

Introduction statement: “Therefore, we sought to determine whether SEM could be used to make this data set more ‘research friendly’ by attempting to create clinical constructs and model some well-known clinical associations between depression and accident & emergency (A&E) use in patients with type 2 diabetes.”

Chelsea Jones

JMIRx Med 2022;3(2):e38007

Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study

Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study

Therefore, we sought to determine whether SEM could be used to make this data set more “research friendly” by attempting to create clinical constructs and model some well-known clinical associations between depression and accident & emergency (A&E) use in patients with type 2 diabetes. Depression has been shown to occur approximately twice as frequently in type 2 diabetes than would be predicted by chance alone [10], and is associated with increased diabetic complications and poor diabetic control [11].

Amy Ronaldson, Mark Freestone, Haoyuan Zhang, William Marsh, Kamaldeep Bhui

JMIRx Med 2022;3(2):e22912

Risk of Accidents or Chronic Disorders From Improper Use of Mobile Phones: A Systematic Review and Meta-analysis

Risk of Accidents or Chronic Disorders From Improper Use of Mobile Phones: A Systematic Review and Meta-analysis

The outcomes were divided into accidents and chronic disorders—15 studies focused on accidents [30-34,45-47,49,50,54,56-58,64], which were mainly related to transport accidents (car accident, motorcycle accident, and unspecified transport accidents) and other accidental injuries, such as electrical injuries and explosions, and 26 studies [25-29,35-44,48,51-53,55,59-63,65] focused on chronic disorders, including neoplasms, ADHD, nomophobia, headaches, sleep disorders, dry eye diseases, ear injuries, oral problems

Xinxi Cao, Yangyang Cheng, Chenjie Xu, Yabing Hou, Hongxi Yang, Shu Li, Ying Gao, Peng Jia, Yaogang Wang

J Med Internet Res 2022;24(1):e21313

Online Newspaper Reports on Ambulance Accidents in Austria, Germany, and Switzerland: Retrospective Cross-sectional Review

Online Newspaper Reports on Ambulance Accidents in Austria, Germany, and Switzerland: Retrospective Cross-sectional Review

Data compiled included the number of accidents reported, number of people transported by the ambulance, number of people involved in the accident (including other vehicles and/or pedestrians), outcome of the people involved in the accident (injury or death), environmental demographics, destination of the ambulance, possible use of blue light and/or siren, people involved in the ambulance accident (staff, patients, or bystanders), date, day of the week, time of day, place/type of road/type of intersection, traffic

Johanna Boldt, Femke Steinfort, Martin Müller, Aristomenis K Exadaktylos, Jolanta Klukowska-Roetzler

JMIR Public Health Surveill 2021;7(11):e25897