Skip to main navigation Skip to main content

CEEM : Clinical and Experimental Emergency Medicine

OPEN ACCESS
ABOUT
BROWSE ARTICLES
FOR CONTRIBUTORS

Page Path

3
results for

"Global health"

Article category

Publication year

Keywords

Authors

"Global health"

Original Articles

Research Perspectives

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

Include:

Global academic productivity for emergency medicine and the research output by countries of different income levels
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:
Include:
Global academic productivity for emergency medicine and the research output by countries of different income levels
Close
Objective
. Despite disparities in availability and quality of emergency care, the extent to which countries with different incomes participate in emergency medicine (EM) research remains understudied. This study evaluated academic productivity in the EM field depending on country income.
Methods
. Research published in Scopus-indexed journals of the EM subject area since 2004 was analysed quantitatively. Publication, citation, journal impact, and national socioeconomic data were compared. Automated topic modelling was applied using a latent Dirichlet allocation model.
Results
. The analysis included 154,458 publications (89.7% in English) from 177 countries, which received 1,817,635 citations. High-income countries (HIC) outperformed upper-middle-income (UMIC), lower-middle-income (LMIC), and low-income countries (LIC) 11, 41, and 72 fold, respectively, by the weighted (per million population per country) number of publications, and 21, 54, and 171 fold, respectively, by the weighted count of citations. The annual number of publications was predicted to considerably rise for HIC, in less extent for UMIC, and far less for LMIC, but not for LIC. Research productivity showed a significant relationship with national socioeconomic indicators. Based on the topic modelling, HIC paid relatively higher attention to advancements in resuscitation, whereas lower income countries were more focused on injuries.
Conclusion
. While global research productivity for EM is progressively rising, lower income countries lag far behind high-income ones. Countries with different incomes have distinct priorities in EM research. The development of country-specific EM research agendas would help boost national academic productivity and determine context-appropriate interventions for improving outcomes in emergency care.
  • 324 View
  • 13 Download

Critical Care

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

Include:

Can a low-cost exercise monitor provide useful heart rate monitoring for use in low-resource emergency departments?
Clin Exp Emerg Med. 2021;8(3):201-206.   Published online September 30, 2021
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:
Include:
Can a low-cost exercise monitor provide useful heart rate monitoring for use in low-resource emergency departments?
Clin Exp Emerg Med. 2021;8(3):201-206.   Published online September 30, 2021
Close
Objective
Our objective was to study the clinical monitoring capabilities of a low-cost fitness wristband while measuring patient satisfaction with a mobility permitting device in the emergency department.
Methods
Patients enrolled were on continuous three-lead telemetry monitoring in a high acuity zone of the emergency department. Patients were given a fitness band to wear while simultaneously monitored with standard three-lead monitor. A brief survey was conducted upon study end, and data was compared between wristband and three-lead telemetry. Median heart rate (HR) values were calculated, a Bland-Altman plot was generated, and sensitivity and specificity were calculated for comparison of the formal telemetry and the inexpensive wristband.
Results
Thirty-four patients with an average age of 61.5 years were enrolled. From June to October 2019, over 100 hours of data were collected. In comparison for comfort, participants scored 9.5 of 10, preferring wristband over telemetry. Using a correlation coefficient graph, we found a significant disparity of HR readings within a telemetry range of 40 to 140 beats/min. An R-value of 0.36 was detected. Using a Bland-Altman plot, we observed a significant difference in HR between the telemetry monitor and the wristband. The sensitivity and specificity of the wristband to detect bradycardia (HR <60 beats/min) were 76% and 86%, respectively, while the sensitivity and specificity of the wristband to detect tachycardia (HR >100 beats/min) were 92% and 51%, respectively.
Conclusion
Inexpensive fitness bands cannot be a suitable tool for monitoring patient’s HR because of inaccuracy in detecting bradycardia or tachycardia.

Citations

Citations to this article as recorded by  Crossref logo
  • Untangling the Wire: Exploring the Overuse of Continuous Telemetry on Regular Nursing Floors
    F.N.U. Varnika, Siri Vummaneni, Parth Munjal, Benjamin Philip Walters, Vasu Gupta, Rohit Jain
    Cardiology in Review.2025;[Epub]     CrossRef
  • Investigating Perspectives of and Experiences with Low Cost Commercial Fitness Wearables
    Whitney-Jocelyn Kouaho, Daniel A. Epstein
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.2024; 8(4): 1.     CrossRef
  • 7,659 View
  • 84 Download
  • 1 Web of Science
  • 2 Crossref
Review Article

Emergency Medicine Practice and Administration

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

Include:

Use of ultra-low cost fitness trackers as clinical monitors in low resource emergency departments
Clin Exp Emerg Med. 2020;7(3):144-149.   Published online September 30, 2020
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:
Include:
Use of ultra-low cost fitness trackers as clinical monitors in low resource emergency departments
Clin Exp Emerg Med. 2020;7(3):144-149.   Published online September 30, 2020
Close
In low resource hospitals, strained staffing ratios and lack of telemetry can put patients at risk for clinical deterioration and unexpected cardiac arrest. While traditional telemetry systems can provide real-time continuous vital signs, they are too expensive for widespread use in these settings. At the same time, developed countries such as the United States have been increasingly utilizing remote monitoring systems to shift patient care from hospital to home. While the context is dramatically different, the challenge of monitoring patients in otherwise unmonitored settings is the same. At-home monitoring solutions range from highly comprehensive and expensive systems to inexpensive fitness trackers. In the field of global health, the adoption of this technology has been somewhat limited. We believe that low cost fitness trackers present an opportunity to address the challenge of vital sign monitoring in resource-poor settings at a fraction of the cost of existing technical solutions.

Citations

Citations to this article as recorded by  Crossref logo
  • Validation of wearable vital signs monitoring: A comparison with conventional bedside patient monitors
    Weiyi Jiang, Wenzhao Zhang, Haoxuan Li, Jean Ngoie, Wenda Li, Zhihong Huang
    DIGITAL HEALTH.2025;[Epub]     CrossRef
  • Evaluation of Wrist-Worn Photoplethysmography Trackers with an Electrocardiogram in Patients with Ischemic Heart Disease: A Validation Study
    Nur Syazwani Ibrahim, Sanjay Rampal, Wan Ling Lee, Eu Way Pek, Anwar Suhaimi
    Cardiovascular Engineering and Technology.2024; 15(1): 12.     CrossRef
  • Recent Advances in Smart Organic Sensors for Environmental Monitoring Systems
    Hyun Woo Song, Wonbin Choi, Taesu Jeon, Joon Hak Oh
    ACS Applied Electronic Materials.2023; 5(1): 77.     CrossRef
  • Integrating the wrist-worn tracker in cardiac rehabilitation programmes: a scoping review
    Nur Syazwani Ibrahim, Wan Ling Lee, Sanjay Rampal, Anwar Suhaimi
    International Journal of Therapy and Rehabilitation.2023; 30(10): 1.     CrossRef
  • Healthcare in Asymmetrically Smart Future Environments: Applications, Challenges and Open Problems
    Barry Dowdeswell, Roopak Sinha, Matthew M. Y. Kuo, Boon-Chong Seet, Ali Ghaffarian Hoseini, Amirhosein Ghaffarianhoseini, Hakilo Sabit
    Electronics.2023; 13(1): 115.     CrossRef
  • Obstructive Sleep Apnoea Syndrome Screening Through Wrist-Worn Smartbands: A Machine-Learning Approach
    Davide Benedetti, Umberto Olcese, Simone Bruno, Marta Barsotti, Michelangelo Maestri Tassoni, Enrica Bonanni, Gabriele Siciliano, Ugo Faraguna
    Nature and Science of Sleep.2022; Volume 14: 941.     CrossRef
  • Heart rate detection by Fitbit ChargeHR™: A validation study versus portable polysomnography
    Davide Benedetti, Umberto Olcese, Paolo Frumento, Andrea Bazzani, Simone Bruno, Paola d’Ascanio, Michelangelo Maestri, Enrica Bonanni, Ugo Faraguna
    Journal of Sleep Research.2021;[Epub]     CrossRef
  • Rebooting consent in the digital age: a governance framework for health data exchange
    Nivedita Saksena, Rahul Matthan, Anant Bhan, Satchit Balsari
    BMJ Global Health.2021; 6(Suppl 5): e005057.     CrossRef
  • Can a low-cost exercise monitor provide useful heart rate monitoring for use in low-resource emergency departments?
    Thomas A. O’Mara, Miguel Armengol de la Hoz, Oren J. Mechanic, Alon Dagan
    Clinical and Experimental Emergency Medicine.2021; 8(3): 201.     CrossRef
  • Obstructive Sleep Apnoea Syndrome Screening Through Wrist-Worn Smartbands: A Machine-Learning Approach
    Davide Benedetti, Umberto Olcese, Simone Bruno, Marta Barsotti, Michelangelo Maestri Tassoni, Enrica Bonanni, Gabriele Siciliano, Ugo Faraguna
    SSRN Electronic Journal .2021;[Epub]     CrossRef
  • 7,969 View
  • 103 Download
  • 9 Web of Science
  • 10 Crossref