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Patients with diabetes were enrolled into a telemonitoring programme. They were offered the choice of collecting their health data either by using Near Field Communication (NFC) enabled mobile phones equipped with a dedicated application (App), or by means of a web-browser based user interface (Web). At the end of the study, each patient was categorized as belonging to either the App or Web group, based on the proportion of data they had transmitted using each method. Of the 403 patients, there were 291 in the App group and 112 in the Web group. The two groups were similar in their demographics, except for gender distribution where 68% of men preferred using the App method in contrast to 95% for women (P<0.001). Kaplan-Meier analysis showed a steady decline of the compliance rate for both groups, at a similar rate during the first year. It also showed a more rapid decline of the compliance rate thereafter for the Web group, which resulted in a significantly higher rate for the App group over the whole observation period (P = 0.03). We conclude that different types of data acquisition technologies may have an important effect on patients' willingness to participate in telehealth programmes in the long-term. [ABSTRACT FROM AUTHOR]

We propose a telemedicine framework for remote and manufacturer independent pacemaker (PM) follow-up. The main goal is to provide the caregiver at the point-of-care with an efficient screening method to identify possible malfunction of the pacing system in collaboration with the specialist at the PM clinic. The concept was evaluated in a clinical trial on 44 patients (mean age 76 years). A total of 62 electrocardiogram (ECG) recordings were transmitted using a mobile PM follow-up unit. Using the automatic classification algorithm, 32 PMs were classified as 'OK' and eight PMs were classified as 'not OK'. In four cases a prediction regarding the working status of the PM was not possible. The signal processing classification was confirmed by expert classification (manual review of the ECG). The results indicate that the proposed PM follow-up concept has the potential to work as an efficient screening method and may spare a significant number of patients the burden of having to travel to specialized PM clinics. [ABSTRACT FROM AUTHOR]

We conducted a pilot study to assess the feasibility of a web-based therapy management system with mobile phone access to support obese patients. A total of 25 patients participated in the study. The mean age of the patients was 48 years. The mean body mass index of the patients at recruitment was 35.6 kg/m2. The mean observation period was 70 days. A total of 361 successful data transmissions was performed — the mean number of transmissions per patient was 14. The total number of outgoing reminder messages was 123, corresponding to 4.9 reminder messages per patient. At the end of the study, there were significant reductions of 2.4 cm in abdominal girth (P < 0.001), 2.4 kg in bodyweight (P < 0.001) and 0.78 kg/m2 in body mass index (P < 0.001). In a questionnaire at the end of the study, the majority of the participants gave answers that indicated a positive attitude towards the system. The pilot study showed that mobile phones can be utilized as patient terminals for therapy in patients suffering from obesity. [ABSTRACT FROM AUTHOR]