Radiated susceptibility of medical equipment in health care units: 2G and 3G mobile phones as an interferer

2011 ◽  
Vol 53 (11) ◽  
pp. 2657-2661 ◽  
Author(s):  
Selcuk Helhel ◽  
Sukru Ozen ◽  
I. Bahadir Basyigit ◽  
Osman Kurnaz ◽  
Yunus E. Yoruk ◽  
...  
Author(s):  
Awad Al-Zaben ◽  
Lina M.K. Al-Ebbini ◽  
Badr Qatashah

In many situations, health care professionals need to evaluate the respiration rate (RR) for home patients. Moreover, when cases are more than health care providers’ capacity, it is important to follow up cases at home. In this paper, we present a complete system that enables healthcare providers to follow up with patients with respiratory-related diseases at home. The aim is to evaluate the use of a mobile phone’s accelerometer to capture respiration waveform from different patients using mobile phones. Whereas measurements are performed by patients themselves from home, and not by professional health care personnel, the signals captured by mobile phones are subjected to many unknowns. Therefore, the validity of the signals has to be evaluated first and before any processing. Proper signal processing algorithms can be used to prepare the captured waveform for RR computations. A validity check is considered at different stages using statistical measures and pathophysiological limitations. In this paper, a mobile application is developed to capture the accelerometer signals and send the data to a server at the health care facility. The server has a database of each patient’s signals considering patient privacy and security of information. All the validations and signal processing are performed on the server side. The patient’s condition can be followed up over a few days and an alarm system may be implemented at the server-side in case of respiration deterioration or when there is a risk of a patient’s need for hospitalization. The risk is determined based on respiration signal features extracted from the received respiration signal including RR, and Autoregressive (AR) moving average (ARMA) model parameters of the signal. Results showed that the presented method can be used at a larger scale enabling health care providers to monitor a large number of patients.


2020 ◽  
Vol 47 (3) ◽  
pp. 207-214
Author(s):  
M. Mukhtar-Yola ◽  
B. Andrew

Background: Health care workers at the bedside of critically ill babies freely carry their mobile phones in between procedures and handling  patients. Concerns are rising as this may contribute to nosocomial infections with pathogenic bacteria. Aim: To determine if mobile phones of health care workers in Intensive care units carry potentially pathogenic bacteria leading to hospital acquired infections. Design: Systematic review.Data sources: Electronic databases (Medline via ovid, CINAHL, Web of science) and hand Searching of references and citations were done to identify studies. Screening and inclusion criteria were used to identify studies with a cross-sectional or cohort design. The search was limited to journal articles published between 2008-2015 and to English language. Quality assessment was done using the National Institute of Health tool for observational studies. Data was extracted on to excel sheets and analysed using SPSS version 22.Results: Six studies with a cohort (1) or cross-sectional design (5) involving 1, 131 health care workers were reviewed. The overall quality of the studies was fair, and a narrative synthesis was done. The colonization rate of the mobile phones ranged between 46.3 % and a 100% with 13-50% carrying potentially pathogenic multidrug resistant microorganisms. Methicillin resistant staphylococcus aureus, Vancomycine resistant enterococci, acinobacter and coagulase negative staphylococci were reported across all studies and were recognized as leading causes of morbidity and mortalityin the ICU. Conclusion: Mobile phones Of HCW are portals of potentially pathogenic microorganisms, which could result in morbidity and mortality.Although no causal relationship could be established, strong associations have been reported. Guidelines by hospital infection control committees are needed on restriction, care and routine cleaning of mobile phones as well as further research. Key words: Health care worker, Intensive care unit, Hospital Acquired Infections, mobile phones


2019 ◽  
Author(s):  
Elvis Asangbeng Tanue ◽  
Dickson Shey Nsagha ◽  
Nana Njamen Theophile ◽  
Jules Clement Nguedia Assob

BACKGROUND The World Health Organization has prioritized the use of new technologies to assist in health care delivery in resource-limited settings. Findings suggest that the use of SMS on mobile phones is an advantageous application in health care delivery, especially in communities with an increasing use of this device. OBJECTIVE The main aim of this trial is to assess whether sending weekly motivational text messages (SMS) through mobile phones versus no text messaging will improve retention in care and promote adherence to treatment and health outcomes among patients receiving HIV treatment in Fako Division of Cameroon. METHODS This is a multisite randomized controlled single-blinded trial. Computer-generated random block sizes shall be used to produce a randomization list. Participants shall be randomly allocated into the intervention and control groups determined by serially numbered sealed opaque envelopes. The 156 participants will either receive the mobile phone text message or usual standard of care. We hypothesize that sending weekly motivational SMS reminders will produce a change in behavior to enhance retention; treatment adherence; and, hence, health outcomes. Participants shall be evaluated and data collected at baseline and then at 2, 4, and 6 months after the launch of the intervention. Text messages shall be sent out, and the delivery will be recorded. Primary outcome measures are retention in care and adherence to treatment. Secondary outcomes are clinical (weight, body mass index), biological (virologic suppression, tuberculosis coinfection), quality of life, treatment discontinuation, and mortality. The analysis shall be by intention-to-treat. Analysis of covariates shall be performed to determine factors influencing outcomes. RESULTS Recruitment and random allocation are complete; 160 participants were allocated into 3 groups (52 in the single SMS, 55 in the double SMS, and 53 in the control). Data collection and analysis are ongoing, and statistical results will be available by the end of August 2019. CONCLUSIONS The interventions will contribute to an improved understanding of which intervention types can be feasible in improving retention in care and promoting adherence to antiretroviral therapy. CLINICALTRIAL Pan African Clinical Trial Registry in South Africa PACTR201802003035922; https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=3035 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/15680


10.2196/18021 ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. e18021
Author(s):  
Mohammad Owaise Sharif ◽  
Jonathon Timothy Newton ◽  
Susan J Cunningham

Background Orthodontic treatment is a common health care intervention; treatment duration can be lengthy (2-3 years on average), and adherence to treatment advice is therefore essential for successful outcomes. It has been reported that up to 43% of patients fail to complete treatment, and there are currently no useful predictors of noncompletion. Given that the National Health Service England annual expenditure on primary-care orthodontic treatment is in excess of £200 million (US $267 million), noncompletion of treatment represents a significant inefficient use of public resources. Improving adherence to treatment is therefore essential. This necessitates behavior change, and interventions that improve adherence and are designed to elicit behavioral change must address an individual’s capability, opportunity, and motivation. Mobile phones are potentially an invaluable tool in this regard, as they are readily available and can be used in a number of ways to address an individual’s capability, opportunity, and motivation. Objective This study will assess the effectiveness and acceptability of a personalized mobile phone app in improving adherence to orthodontic treatment advice by way of a randomized controlled trial. Methods This study will be conducted in 2 phases at the Eastman Dental Hospital, University College London Hospitals Foundation Trust. Phase 1 is feasibility testing of the My Braces app. Participants will be asked to complete the user version of the Mobile Application Rating Scale. The app will be amended following analysis of the responses, if appropriate. Phase 2 is a randomized controlled trial to test the effectiveness and acceptability of the My Braces app. Results This study was approved by the London – Bloomsbury Research Ethics Committee on November 5, 2019 (reference 19/LO/1555). No patients have been recruited to date. The anticipated start date for recruitment to phase 1 is October 2020. Conclusions Given the availability, affordability, and versatility of mobile phones, it is proposed that they will aid in improving adherence to treatment advice and hence improve treatment completion rates. If effective, the applicability of this methodology to developing behavior change/modification interventions and improving adherence to treatment across health care provides an exciting opportunity. Trial Registration ClinicalTrials.gov NCT04184739; https://clinicaltrials.gov/ct2/show/NCT04184739 International Registered Report Identifier (IRRID) PRR1-10.2196/18021


2021 ◽  
Vol 30 (3) ◽  
pp. 29-36
Author(s):  
Rana E. Elgabeery ◽  
Radwa A. Eissa ◽  
Sohair M. Soliman ◽  
Naglaa F. Ghoname

Background: As Mobile Phones (MPs) aren’t cleaned routinely and have been touched during patient’s examination, they may become contaminated with hospital pathogens. Objectives: Screen MPs of Health care workers (HCWs) for pathogens and verify the effect of disinfectants in their decontamination. Methods: A questionnaire was submitted by 160 HCWs in Tanta University Hospitals. Samples were taken from their MPs and subjected to pour plate counting before and after disinfection. Standard identification and antibiotic susceptibility of isolates were done. Results: Colony count was greater in MPs used while caring for patients or inside restroom, and was less in regularly cleaned MPs. All tested disinfectants reduced the colony count significantly. Pathogens were isolated from 84.38% of samples and 36.25% of them were Multi-Drug Resistant Organisms (MDROs). Conclusion: Using MPs at critical care areas and restroom may contribute to their contamination with pathogens. Regular disinfection of MPs can reduce this contamination.


Author(s):  
Pradeep Nair

The reason for considering ICT-based communication platforms, especially mobile phones, as the most efficacious media tool to interconnect health care providers, practitioners and other stakeholders to a substantially large number of consumers in the healthcare system is that the mobile phone subscribers in India has reached to 1,013.23 million in the third quarter of 2018. The prices of smartphones have also come down by 11 percent with a demand for 4G devices capturing 6 percent of smartphone unit demand in India. Hence, it is an appropriate time to understand that the future of healthcare business in India lies with mobile based healthcare services. This chapter explores some of the significant innovations taking place in mobile healthcare business in India and examines the emerging approach of integrated health care ecosystems to provide quality health services to everyone where and when it is required.


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