Innovative telemedicine solutions for diabetic patients

Lehocki, Fedor; Balogh, Štefan; Žakovičová, Eva; Kovac, Miroslav; Witte, Bart de

doi:10.1109/iecbes.2012.6498185

Cited by 3 publications

(4 citation statements)

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“…Most apps in this category transmitted entered data to a server where it was available for healthcare providers to accordingly provide feedback via phone calls, text messages, or visiting the patients. For instance, diabetes apps such as WellDoc [ 15 , 42 ], Bant [ 43 ], Patient’s Mobile Unit (PMU) [ 44 ], Diabetes Assistant (DiAs) [ 45 ], Glucose Buddy [ 46 ], t+ Diabetes [ 47 ], DIABTel [ 48 ], Diab-Memory [ 49 ], Well-Mate [ 50 ], and t+ Medical [ 51 ] allowed patients to enter their glucometer readings into a smartphone or a PDA, and sent them to the healthcare provider for follow-up and personalized feedback. HbA1c was measured in seven studies, only one of which did not manage to achieve improvement [ 50 ].…”

Section: Resultsmentioning

confidence: 99%

“…HbA1c was measured in seven studies, only one of which did not manage to achieve improvement [ 50 ]. Other studies indicated a reduced rate of emergency department visits and hospitalizations [ 15 ], an increase in the average daily frequency of blood glucose measurement [ 43 ], an increase in patient confidence [ 44 ], and a decrease in the duration of hypoglycemic events [ 45 ].…”

Section: Resultsmentioning

confidence: 99%

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mHealth Application Areas and Technology Combinations

2017

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SummaryBackground: With the continuous and enormous spread of mobile technologies, mHealth has evolved as a new subfield of eHealth. While eHealth is broadly focused on information and communication technologies, mHealth seeks to explore more into mobile devices and wireless communication. Since mobile phone penetration has exceeded other infrastructure in low and middle-income countries (LMICs), mHealth is seen as a promising component to provide pervasive and patient-centered care.Objectives: The aim of our research work for this paper is to examine the mHealth literature to identify application areas, target diseases, and mHealth service and technology types that are most appropriate for LMICs.Methods: Based on the 2011 WHO mHealth report, a combination of search terms, all including the word “mHealth”, was identified. A literature review was conducted by searching the PubMed and IEEE Xplore databases. Articles were included if they were published in English, covered an mHealth solution/intervention, involved the use of a mobile communication device, and included a pilot evaluation study. Articles were excluded if they did not provide sufficient detail on the solution covered or did not focus on clinical efficacy/effectiveness. Cross-referencing was also performed on included articles.Results: 842 articles were retrieved and analyzed, 255 of which met the inclusion criteria. North America had the highest number of applications (n=74) followed by Europe (n=50), Asia (n=44), Africa (n=25), and Australia (n=9). The Middle East (n=5) and South America (n=3) had the least number of studies. The majority of solutions addressed diabetes (n=51), obesity (n=25), CVDs (n=24), HIV (n=18), mental health (n=16), health behaviors (n=16), and maternal and child’s health (MCH) (n=11). Fewer solutions addressed asthma (n=7), cancer (n=5), family health planning (n=5), TB (n=3), malaria (n=2), chronic obtrusive pulmonary disease (COPD) (n=2), vision care (n=2), and dermatology (n=2). Other solutions targeted stroke, dental health, hepatitis vaccination, cold and flu, ED prescribed antibiotics, iodine deficiency, and liver transplantation (n=1 each). The remainder of solutions (n=14) did not focus on a certain disease. Most applications fell in the areas of health monitoring and surveillance (n=93) and health promotion and raising awareness (n=88). Fewer solutions addressed the areas of communication and reporting (n=11), data collection (n=6), tele-medicine (n=5), emergency medical care (n=3), point of care support (n=2), and decision support (n=2). The majority of solutions used SMS messaging (n=94) or mobile apps (n=71). Fewer used IVR/phone calls (n=8), mobile website/email (n=5), videoconferencing (n=2), MMS (n=2), or video (n=1) or voice messages (n=1). Studies were mostly RCTs, with the majority suffering from small sample sizes and short study durations. Problems addressed by solutions included travel distance for reporting, self-management and disease monitoring, and treatment/medication adherence.Conclusions: SMS and app solutions are the most common forms of mHealth applications. SMS solutions are prevalent in both high and LMICs while app solutions are mostly used in high income countries. Common application areas include health promotion and raising awareness using SMS and health monitoring and surveillance using mobile apps. Remaining application areas are rarely addressed. Diabetes is the most commonly targeted medical condition, yet remains deficient in LMICs.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

mHealth Application Areas and Technology Combinations

2017

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“…Based on our analysis we found interesting results concerning other types of chronic diseases, such as diabetes, which is mentioned in 18 of our 106 papers. Together with cancer, stroke, and chronic obstructive pulmonary disease (COPD), diabetes is on the list of the major chronic diseases responsible for more than 60% of deaths in the world [ 51 ]. The mobile device is the main technology adopted but text messaging and remote monitoring devices are also used.…”

Section: Resultsmentioning

confidence: 99%

The Role of Mobile Technologies in Health Care Processes: The Case of Cancer Supportive Care

Nasi¹,

Cucciniello²,

Guerrazzi³

2015

J Med Internet Res

141

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BackgroundHealth care systems are gradually moving toward new models of care based on integrated care processes shared by different care givers and on an empowered role of the patient. Mobile technologies are assuming an emerging role in this scenario. This is particularly true in care processes where the patient has a particularly enhanced role, as is the case of cancer supportive care.ObjectiveThis paper aims to review existing studies on the actual role and use of mobile technology during the different stages of care processes, with particular reference to cancer supportive care.MethodsWe carried out a review of literature with the aim of identifying studies related to the use of mHealth in cancer care and cancer supportive care. The final sample size consists of 106 records.ResultsThere is scant literature concerning the use of mHealth in cancer supportive care. Looking more generally at cancer care, we found that mHealth is mainly used for self-management activities carried out by patients. The main tools used are mobile devices like mobile phones and tablets, but remote monitoring devices also play an important role. Text messaging technologies (short message service, SMS) have a minor role, with the exception of middle income countries where text messaging plays a major role. Telehealth technologies are still rarely used in cancer care processes. If we look at the different stages of health care processes, we can see that mHealth is mainly used during the treatment of patients, especially for self-management activities. It is also used for prevention and diagnosis, although to a lesser extent, whereas it appears rarely used for decision-making and follow-up activities.ConclusionsSince mHealth seems to be employed only for limited uses and during limited phases of the care process, it is unlikely that it can really contribute to the creation of new care models. This under-utilization may depend on many issues, including the need for it to be embedded into broader information systems. If the purpose of introducing mHealth is to promote the adoption of integrated care models, using mHealth should not be limited to some activities or to some phases of the health care process. Instead, there should be a higher degree of pervasiveness at all stages and in all health care delivery activities.

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“…). As reported in[3] patients generally preferred to use their own mobile phones. Mobile terminal provided in this study (GSmart Roma R2 with OS Android 4.4.2) had two SIM slots and patients could use their own SIM card in addition to one with data package provided by the R&D team.Healthcare provider unit (HPU): web application enables healthcare professionals to overview and manage evolution of patient's health based on data from telemonitoring, modify treatments and communicate through text messages with patients.…”

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confidence: 83%

ICT Based Diabetes Management System with Comprehensive Mobile Application: Clinical Usefulness Evaluation

Lehocki¹,

Jackuliak²,

Žakovičová³

et al. 2015

Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming Healthcare

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Objective of the presented study is to introduce telemedicine system that integrates all of the most implemented features that appear in different mobile diabetes applications in addition to blood glucose: tracking of insulin or other medications, communication, diet management, physical activity, weight, blood pressure, personal health record, education, social media, and alerts. Presented telemedicine system employs these features for management of Type 1 and Type 2 diabetes patients. Clinical evaluation after 3 months of intervention showed change of HbA1c in both patient groups was not only statistical significant but it had also a clinical dimension. The HbA1c decreased by 0,5% represents significant change for reduction of diabetic complications. Baseline for HbA1c in 29 T1DM patients: 8.1±1.5% versus 7.5±1.2% (P = 0.008). Baseline for HbA1c in 26 T2DM patients: 7.4±1.2% versus 6.8±1.1% (p=0.001). Results show statistically significant tendency to decrease in T2DM patients in weight 93.2±13.6kg compared to 91.9±14.2kg (P=0.08); and BMI 30.7±4.1 kg/m2 compared to 30.2±4.2 kg/m2 (P=0.08).

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Innovative telemedicine solutions for diabetic patients

Cited by 3 publications

References 9 publications

mHealth Application Areas and Technology Combinations

mHealth Application Areas and Technology Combinations

The Role of Mobile Technologies in Health Care Processes: The Case of Cancer Supportive Care

ICT Based Diabetes Management System with Comprehensive Mobile Application: Clinical Usefulness Evaluation

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