In the past, one of the vital purposes of medicine was the management of acute diseases; however, the main task of medicine is the management of chronic diseases today. Longer life expectancy, population aging, and increases in chronic diseases, especially higher diabetes prevalence, have all helped direct social attention towards health management and the quality of life, thereby amplifying the demand for medical care on a daily basis [1,2]. A report on diabetic patients in Korea indicates that 10.1% of persons aged 30 years or older as well as 22.7% of those aged 65 years or older have the disease [3]. As in-hospital treatment of patients with diabetes is a great financial burden to the healthcare system, it is recommended that each patient should self-manage their condition when it is necessary to have efficient communication without time restrictions between the patient and the specialist as well as to reduce medical cost [4,5].

According to InformationWeek Healthcare, an online journal, 78% of 1,002 survey participants recently cited insufficient amount of time as a problem in the communication between patients and medical specialists [6].

The medical community has been considering a new paradigm of using the internet and mobile communications to deal with this issue [7,8]. Yu et al. [8] studied the u-Health remote health service system; the diabetic management program included consultation sessions with research nurses based on the transmitted data from the blood glucose monitoring system by using mobile phones. Cho et al. [9] instructed their patients to transfer glucose, blood pressure, and body weight data for the nurses, nutritionists, and endocrinologists to monitor. Feedback was given at the request of a patient or upon the observation of significant changes in blood glucose level. Kim [10] reported improvements in HbA1c just through providing patients with simple mobile phone texts and Web-based feedback. There are ongoing studies actively testing a variety of software and u-Health medical equipment in search of alternative methods of medical communication for the self-care of patients with chronic illness [11,12,13,14,15]. The u-Health service is expected to change the venue of medical service from conventional hospitals to personal everyday spaces, making it easier for patients to self-manage their chronic conditions [5,16,17]. With little time restriction between the patient and the medical expert, the u-Health service is also anticipated to provide patients with self-confidence in managing their illnesses, to prevent any possible complications, and to increase their compliance with medical treatments [18].

An exemplary demonstration project that combines IT and the u-Health service is the Smart Care service developed by the Ministry of Knowledge and Economy of Korea [1,2,11]. The Smart Care system, currently under development for public use, is an IT-based everyday medical service intended to reduce medical costs, especially for low-income households [11]. The outcomes of u-Health service funded publicly and/or privately for the treatment of chronic illnesses will provide basic clinical data to facilitate further u-Health service projects. These will also expedite similar projects, accelerating the commercialization of the u-Health service in the near future [5,9,11,12,13,14,15].

From among the medical institutions participating in the "2011 Smart Care demonstration scheme by the Ministry of Knowledge Economy of Korea," we chose a group of patients with diabetes from primary healthcare centers in Korea to test the effectiveness of the Smart Care service by investigating pre-post service changes in blood glucose level, body weight, body mass index, glycated hemoglobin (HbA1c) level, fasting glucose level, low-density lipoprotein cholesterol level, and systolic/diastolic blood pressure.

The present study attempted to validate the effectiveness of the Smart Care service by examining changes in diabetes indicators in patients with diabetes receiving treatments from primary health institutions. The project provided patients with a specialized health management service by means of two-way communication through netbooks or smartphones. Several previous studies have dealt with patients registered in tertiary healthcare institution [8,9,10], whereas the current study focused on those registered with primary medical centers. Patients attended to by primary healthcare institutions are more likely to be in an early stage of their illness and have fewer complications, relative to their counterparts in tertiary institutions. Patients in primary care units are therefore better positioned to benefit from remote health management services and to be able to afford to continue with the program for general education and motivation. The objectives of the u-Health service for patients with diabetes are to prevent macrovascular complications-such as myocardial infarction, angina, stroke, and transient ischemic attack-and microvascular complications-such as retinopathy, kidney disease, nerve disorders, and foot ulcers-by keeping glucose level, body mass index, HbA1c level, cholesterol level, and blood pressure within the reference ranges. This could also help reduce general medical costs, as diabetes imposes a large financial burden on patients who often have to be hospitalized repeatedly due to complications [19].

We believe that we have reached a point at which society needs to agree that, to bring about meaningful changes in lifestyles and health indicators in patients with diabetes, remote IT-based health management service needs to replace the existing home monitoring systems so that patients can have access to feedback and real-time care from medical specialists [11]. As a first of its kind, the Smart Care service establishes a central service center and provides patients with specialist health consultations through telephone, video, and online messaging on a regular and on-demand basis. As a result, all diabetes indicators, including glucose level, HbA1c, fasting glucose level, low-density lipoprotein cholesterol level, and systolic/diastolic blood pressure, improved significantly, except for body mass index and body weight. After the 6-month period of Smart Care service, the mean post-meal blood glucose was within the reference range at 146.4 mg/dL (normal range 90-180 mg/dL for 2 hours after meal), whereas the fasting sugar level was beyond the reference range at 145.5 mg/dL (normal range 70-130 mg/dL). The HbA1c was 6.6%, close to the reference range (normal range for <6.5%) [20]. From previous studies [8,9,10], we noted that a short study period would make it difficult to validate the effectiveness of an experimental service. Moreover, even if a study lasted for a longer duration, the effectiveness was restricted when there were no face-to-face interactions between the patients and care providers [9,10]. The present regression analysis indicated that the number of consultations provided by nurses influences body weight, and that minutes of telephone counseling influence both body weight and body mass index. These results provide preliminary evidence that counseling has positive intervention effects on control of body weight and body mass index. As some previous studies have indicated, an IT-based u-Health service should provide emotional support and encouragement to the patient in addition to providing personal counseling for proper self-care management, rather leaving patients to depend on the technological and mechanical aspects of the service [21,22].

Our results show that the frequency of checking blood glucose was initially an average of 21.3 times, but it decreased to 13.0 times at the 6-month point. It is thought that the patients were at first eager to check their levels when the figures were unstable, but they seem to have gradually lost interest as the indicators showed more stable values with time. It is therefore necessary to give patients more encouragement and counseling so that they would continuously attend check-ups. Following the relevant guidelines based on the current glucose level and reacting to any unwanted changes can not only reduce the necessity for hospital visits but also help prevent microvascular complications [19,23]. It has been reported that stabilized fasting blood glucose levels can lead to a lower prevalence of cardiovascular complications and a lower death rate in patients with type 2 diabetes [24].

The present study offers a few unique aspects compared with other studies on patients with diabetes. First we offered the patients weekly interactions with the medical team through telephone/video calls and online messaging, overcoming the drawback that existing u-Health services do not offer continuous contacts with medical personnel, with the patient only transmitting their test data to the central service [25]. These sessions were intended to follow the core objectives of the u-Health service, which were to save time and monetary cost that patients would incur if they visited the hospital. Second, we delivered such health-related contents as test data analysis and health information to patients once a week. The medical team would check blood glucose data transmitted by patients and send back appropriate feedback in return, as well as educational material and encouragement to patients to manage their glucose levels. This is thought to be an ideal way to maintain interest and motivate patients about diabetes management.

The present study indicates that it might be necessary to consider an IT-based remote health management system through which medical specialists can provide monitoring service and feedback to diabetes patients so that they would aim to improve their lifestyle and induce significant changes in their blood glucose levels. Although the service is dependent on IT and is remotely administered, the focus should be on the provision of active medical interventions on the part of the health specialists. It would be vital for patients to feel confident about their capability in disease management and prevention of complications. The fundamental part of diabetes management is to check blood glucose levels on a regular basis and understand each patient's personal attributes in order to find out how to keep the levels within the reference range without much variation. The ultimate aim would be to prevent complications. Health specialists are strongly advised to continue encouraging and interacting with their patients to this end.

The present study had a few limitations. First, we focused on the application of the u-Health service to patients in primary healthcare institutions where a control group was lacking in the study design. Although we succeeded in validating the potential effectiveness of the Smart Care service, we should have had a control group to make certain that the changes we observed in terms of the blood glucose level, cholesterol level, and blood pressure were indeed due to the Smart Care service. To correct this issue, we are in the process of conducting another study in a university hospital setting, consisting of an experimental group and a control group. Another issue is that there was a slight dropout rate regardless of the patient education and motivation provided by the health service team. The reasons for dropping out were manifold: lack of time, finding the tools being too difficult to use, not wanting to continue, no response, and others. Reflection on this issue and finding ways to reduce the loss of participants would be helpful for future studies. Regardless of these drawbacks, the current study was able to substantiate the effectiveness of the Smart Care service; useful data was gathered and analyzed and may be helpful in determining directions for further u-Health projects.