Telemonitoring for diabetes care meets a steep readiness gap in Ethiopian teaching hospitals
Telemonitoring has been positioned as a practical way to extend diabetes care beyond crowded clinics, but readiness among frontline staff can determine whether the idea reaches patients or stalls at the ward level. In a cross-sectional survey at the University of Gondar and Tibebe Ghion specialised teaching referral hospitals in Ethiopia, awareness and readiness to use telemonitoring were both limited among physicians and nurses. The study included 406 completed responses from randomly selected providers, most of them nurses, and the findings point to a workforce that had heard little about the tool and felt poorly prepared to use it in routine diabetes management.
Among respondents, 345 had heard about telemonitoring, but awareness did not translate into operational preparedness. Readiness was particularly weak: 321 respondents fell into the average readiness category, while 121 were classified as having low readiness. In a setting where diabetes follow-up depends on sustained patient contact, data review, and timely intervention, low readiness is not a minor implementation issue. It is the bottleneck.
Training, device access, and digital experience shaped awareness
Several factors were associated with greater awareness of telemonitoring. Providers who had access to a computer were more likely to be aware of the approach, with an adjusted odds ratio of 2.8 and a 95% confidence interval of 1.1 to 7.1. Computer-related training carried an even stronger association, with an adjusted odds ratio of 4.6 and a 95% confidence interval of 1.63 to 12.95. Experience supporting patients through digital tools also increased awareness, with an adjusted odds ratio of 1.7 and a 95% confidence interval of 1.0 to 2.8.
These associations make clinical sense. Telemonitoring is not a purely conceptual intervention; it depends on familiarity with devices, comfort with digital workflows, and some expectation that patient-generated data can actually be used in care decisions. When staff have access to computers and training in digital tools, the technology becomes visible as part of daily practice rather than an abstract innovation. Without those inputs, telemonitoring remains easy to ignore, especially in hospitals where conventional paper-based workflows still dominate diabetes care.
Readiness depended on attitude and self-perceived innovation
Readiness followed a similar pattern. Providers identified as self-perceived innovators were more ready to use telemonitoring, and readiness was also higher among those with computer access, computer-related training, and a favourable attitude toward telemonitoring. The study’s use of a partial proportional odds model allowed the investigators to examine readiness across ordered categories rather than reducing the outcome to a simple yes-or-no decision. In a workforce survey, that matters because readiness is rarely binary. Some clinicians can imagine using a tool, some can use it with support, and some are not prepared at all.
The pattern suggests that readiness is shaped by both infrastructure and mindset. Access to a computer may signal institutional support, but training and attitude likely do more of the actual work. A favourable attitude may reflect confidence that telemonitoring will save time, improve continuity, or strengthen diabetes follow-up. A poor attitude, by contrast, often mirrors skepticism about added workload, uncertain reliability of digital inputs, or lack of reimbursement and workflow integration. In this cohort, those psychological and practical barriers appear to have been closely linked.
The gap between awareness and readiness was wide.
What low preparedness means for diabetes follow-up
Diabetes care relies on repetition, surveillance, and early action. Blood glucose monitoring, medication titration, adherence checks, and complication screening all depend on information arriving at the right time. Telemonitoring can support that process by allowing clinicians to review values and trends without waiting for the next in-person visit. In theory, that should be especially useful in referral hospitals where patient loads are heavy and access barriers can delay review of worsening glycaemia.
Yet technology only works when the care team can use it. A provider who has heard of telemonitoring but lacks training, equipment, or confidence is unlikely to incorporate it into a diabetes workflow. This study makes that point plain. The main constraint is not whether the technology exists. The constraint is whether the clinical workforce has the digital readiness to absorb it into ordinary care.
Institutional implications for Ethiopian referral hospitals
The findings carry direct implications for hospital administrators and policy leaders in Ethiopia. If teaching hospitals want telemonitoring to support diabetes care, they will need more than software or mobile platforms. The workforce needs access to computers, practical digital skills, and a better understanding of how telemonitoring fits into clinical decision-making. Attitude change may require visible institutional support, not just lectures about innovation.
The survey also suggests that introducing telemonitoring without building familiarity first may produce weak uptake. Providers who already use digital tools in patient care appear more likely to recognize the value of telemonitoring. That creates a plausible implementation pathway: start with computer access, pair it with training, and build on everyday digital tasks that gradually normalize remote monitoring. In hospitals where digital infrastructure is limited, a telemonitoring rollout can fail for reasons that have little to do with the clinical merit of the intervention itself.
Survey design captures a workforce snapshot, not long-term adoption
Because this was an institution-based cross-sectional survey, it captured awareness and readiness at one point in time rather than measuring how telemonitoring would perform after deployment. The study also focused on providers at two teaching hospitals, so the findings speak most directly to similar referral settings rather than to all Ethiopian health facilities. Even so, the sample size was substantial, and the response rate provided a useful view of how clinicians currently perceive digital diabetes support.
The clinical message is straightforward. Awareness of telemonitoring was limited, readiness was weaker still, and the factors linked to better preparedness were practical rather than abstract: computer access, training, digital experience, and a favourable attitude. In diabetes care, where missed signals can translate into missed treatment adjustments, those gaps matter because they determine whether remote monitoring becomes routine clinical practice or remains a theoretical option.