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. 2021 Jan 27;23(2):133–145. doi: 10.1089/dia.2020.0383

Table 1.

Potential eHealth Benefits And Problems

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.