Table 1.
Potential benefits2,17,23,26: |
▪ Increases reach to vulnerable, geographically dispersed, rural, underserved patients with less access to care, lower health literacy, single parents, less educated, minorities, immigrants. |
▪ Enhances health equity. |
▪ Extends clinical care to everyday world and natural environment: an expanded interface between HCT and patients. |
▪ Can provide immediate, real-time, useable management feedback. |
▪ Guides patient management and decision making. |
▪ Assists in management problem solving. |
▪ Provides information to enhance HCT and user decision support. |
▪ Some potential to lower costs for health systems, patients, or both, or to provide for a good clinical return for investment. |
▪ Provides real-world data to both HCTs and patients so that in-office visits can be focused. |
▪ Provides more opportunities for panel management, with linkages to other health systems and resources. |
Potential problems4,20,23,27,61: |
▪ High attrition: high refusal to participate and high subsequent program drop-out rate. |
▪ Low adherence: many users remain in the program but engage infrequently. |
▪ Problems with data security and privacy, with a potential for eHealth interfaces with EHRs to open up access to hackers. |
▪ Too much data collected in forms not easily obtainable and useable by HCTs and patients. |
▪ Problems with both HCT and patient usability and user-friendliness: technologically complex, with too many whistles and bells. |
▪ Best results require customization and ongoing adaptation for both HCTs and patients: user literacy, numeracy, culture, education, age, gender, and technological savvy of end-users are rarely considered. |
▪ Variable accuracy of measurement tools: the validity of the tools used to provide feedback to users (carb estimators, physical activity trackers) display poor validity or accuracy compared with gold standard assessment tools. |
▪ Lack of clarity of specific short- and long-term clinical objectives, including both proximal and distal clinical outcomes. |
▪ Often do not include needed end-user training for both health system and patients. |
▪ Lack of user input on the multiple perspectives needed for meaningful program development. |
▪ Although the best outcomes occur when the program utilizes multiple media, this often increases cost and complexity. |
▪ Variations in eHealth programs use can unintentionally increase health inequities. |
▪ eHealth interventions often are unsustainable within health systems because of a lack of clear planning, targeting and integration within health systems operations. |
▪ Health systems can become overly dependent upon external, proprietary systems such that the costs incurred in switching or modifying the program become prohibitive. |
▪ Difficulty in integrating eHealth data with other data management systems, for example, EHR, public health. |
EHR, electronic health record; HCT, health care team.