Abstract: Although access to telehealth technology has rapidly expanded in developing countries, its potential benefits in improving healthcare are still underutilized. This study sought to investigate the effect of tele treatment on health outcomes of diabetic patients in Nairobi County, Kenya. The study employed a descriptive design. It used a systematic sampling method to collect the required data. Self-administered questionnaires, which contained items that are, both open and closed-ended were used. The data collected was used to illustrate the effect of telemedicine utilization on the health outcomes of diabetic patients. The study mainly targeted diabetic patients in Nairobi City County. The study accomplished its statistical analysis by using the standard statistical program SPSS, and by running simple descriptive analyses to obtain reports on data status and final results. From the study findings, it is concluded that the impact of tele-monitoring on the health outcomes of the diabetic patient can be rated as good as most thought tele-monitoring had positively impacted their lives. The study recommends the need to enhance home monitoring to make patients feel more secure in detecting health problems, the need for training of more endocrinologists and diabetologists to meet the needs of the increasing number of diabetic patients and the need for the government and other stakeholders to have virtual diabetic clinics that defy the boundaries of locations and time.

Abstract: Diabetes has become a significant public health concern worldwide, calling for telemedicine interventions to mitigate this health problem. It is on this basis that health facilities are adopting telediagnosis intervention as an alternative to improved health outcomes. Telediagnosis is the process of using software, sensors, and communication devices to monitor, analyze, and diagnose. This study sought to examine the effect of telediagnosis on health outcomes of diabetic patients in Nairobi County, Kenya. This study was guided by self-determination theory. The study employed a descriptive design and targeted diabetic patients in Nairobi City County. Key informants recruited through purposive sampling and systematic simple random sampling was used to collect data through self-administered questionnaires and interviews. Two focus group discussions were conducted. Statistical analysis was done by use of Statistical Package for Social Sciences (SPSS) version 24.1 and by generating descriptive analyses. For the qualitative data, the researchers used recurring patterns to form topics. One of the major findings revealed that the majority, (43.9%) of the respondents indicated that telediagnosis was very good. This means mobile device connectivity for telediagnosis in Nairobi was reliable and should be encouraged for purposes of Mobile health services (mhealth) services, thus saving on time and resources that would have otherwise been used in making physical visits to healthcare facilities. The study recommends that the government partner with facilities and other stakeholders to create awareness of the availability of telehealth services.