Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: May 5, 2023
Date Accepted: Sep 7, 2023

The final, peer-reviewed published version of this preprint can be found here:

The Degree of Anxiety and Depression in Patients With Cardiovascular Diseases as Assessed Using a Mobile App: Cross-Sectional Study

Li Y, Cen J, Tang M, Guo J, Hang J, Zhao Q, Zhao G, Huang X, Han B, Wu J

The Degree of Anxiety and Depression in Patients With Cardiovascular Diseases as Assessed Using a Mobile App: Cross-Sectional Study

J Med Internet Res 2023;25:e48750

DOI: 10.2196/48750

PMID: 37792455

PMCID: 10585437

The degree of anxiety and depression in patients with cardiovascular diseases by using mobile APP—a cross-sectional study

  • Yongguang Li; 
  • Jue Cen; 
  • Min Tang; 
  • Jingyi Guo; 
  • Jingyu Hang; 
  • Qing Zhao; 
  • Gang Zhao; 
  • Xiaoli Huang; 
  • Beibei Han; 
  • Junxia Wu

ABSTRACT

Background:

Depression and anxiety are common comorbidities in outpatients of cardiovascular clinics. Timely identification and intervention of these mental and psychological disorders can contribute to correct diagnosis, better prognosis, less medical expenses, and improvement of quality of life. The online doctor-patient communication platform has attracted more and more patients for online consultation due to its convenience. However, online and offline healthcare are very different. There is no research on how to identify psychological disorders in patients who have online cardiology consultation.

Objective:

The purpose of this study was to explore the feasibility of using a self-rating scale to assess mental illness among patients who consult with cardiologist online, and to compare the differences in anxiety and depression between online and offline patients.

Methods:

From June 2022 to July 2022, we conducted follow-up visits in 10173 patients who had consulted with the same cardiologist on the Haodf APP platform during the past three years. We conducted detailed consultations on 286 patients who visited the same cardiologist in the outpatient department from June 2022 to July 2022. We used the Generalized Anxiety Disorder (GAD-7) and the Patient Health Questionnaire (PHQ-9) Self-Rating Scale to assess anxiety and depression, respectively. We analyze the influencing factors related to the degree of coordination of online patients. We also compared the incidence of anxiety or depression between online and offline patients, and analyzed the factors related to anxiety or depression using multiple regression methods.

Results:

Of the 10173 online consultation patients, only 186 responded effectively, with an effective response rate of only 1.8%, while the response rate of offline consultation patients was 96.5%. Frequent online communication and watching live video broadcasts are significantly related to effective responses from online patients(P<0.001). The incidence of anxiety (43.75% vs 25.84%, P<0.001) or depression(48.75% vs 27.72%, P<0.001) in online consultation patients is significantly higher than that in offline patients, with suspicious, mild anxiety or depression being the main symptoms. The independent risk factor related to anxiety is women(OR=0.458, 95%CI: 0.286~0.735, P=0.001), while women(OR=0.534, 95%CI:0.355~0.805, P=0.003) and online consultation patients(OR=0.385, 95%CI:0.189~0.784, P=0.009) are more likely to have depression.

Conclusions:

Online patients have more anxiety or depression than offline patients. Women are more likely to experience anxiety and depression, and online consultations patients are more likely to have depression. The self- rating mental state scale can help cardiologist to identify anxiety and depression in patients undergoing online consultation, but the patient's coordination is poor. Increasing the frequency of doctor-patient communication and watching live video broadcasts can improve patient cooperation.


 Citation

Please cite as:

Li Y, Cen J, Tang M, Guo J, Hang J, Zhao Q, Zhao G, Huang X, Han B, Wu J

The Degree of Anxiety and Depression in Patients With Cardiovascular Diseases as Assessed Using a Mobile App: Cross-Sectional Study

J Med Internet Res 2023;25:e48750

DOI: 10.2196/48750

PMID: 37792455

PMCID: 10585437

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.