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. 2020 Mar 9;27(1):e100066. doi: 10.1136/bmjhci-2019-100066

Table 1.

Study characteristics of the included papers

Author/year Country Target population Sample size and setting Proposed intervention Expected outcome(s) Evaluation method
Villarreal 200927 Republic of Panama Patients with diabetes Setting: Not reported
Sample size: Not reported
mHealth: Mobile app for providing self-control Self-control, patient monitoring, improving communication between patients and doctor Not reported
Koutkias 201026 Greece Patients with chronic disease Setting: Hypertension outpatient clinic
Sample size:
Not reported
eHealth: Body area network for providing home care services and increasing self-management Home care service delivery, interoperability, extensibility, access to drug and patient information, access to care Not reported
Beatty 201318 USA Patients with ischaemic heart disease Setting:
Not reported
Sample size: Not reported
mHealth: A mobile app for improving access, increasing participation and improving outcomes in patients Cost-effective, access to care, behaviour change, patient-centred health, reduce rates of rehospitalisation, increase participations Randomised controlled trial
Dhillon 201324 New Zealand Senior health consumers Setting: Not reported
Sample size: 43 seniors aged 60–85
Telehealth: Web-based system with a Facebook-like plug-in architecture for increasing patient motivation Open and extensible system, social and emotional support, Feedback and motivation, access to care, cost-effective Usability and effectiveness of the framework were evaluated via 6-level Likert scale
Beentjes 201523 Netherland Patients with severe mental illness Setting:
Inpatient/outpatient clinics
Sample size: Not mentioned
eHealth: e-IMR programme for involving other important people, manage achieving personal recovery goals and reducing relapse Access to care, cost-effective, Cluster randomised controlled trial
Fico 201525 Spain Patients with diabetes Setting: Not reported
Sample size: Not reported
eHealth: A model for providing self-management Cost-effective, maximised usability, user experience, patient engagement, self-management Not reported
Gee 201519 USA Patients with chronic disease Setting: Not reported
Sample size: Not reported
eHealth: A model (using mobile devices) for providing self-management Improving functional and clinical outcomes, patient-centred outcomes, access to care, access to data, Not reported
Salisbury 201522 UK Patients with chronic diseases
(cardiovascular disease and depression)
Setting: Not reported
Sample size: 34 patients completed the questionnaire
Telehealth: A model for providing patient engagement (including care coordination, patient self-management, optimisation of treatment) Health outcomes, access to care,
patient experience, cost-effective
Randomised controlled trials
Schnall 201620 USA HIV prevention for high-risk men who have sex with men (MSM) Setting: Not reported
Sample size: 5 focus groups with 33 targeted end-users.
mHealth
(Mobile App) Mobile App for providing self-management
Behaviour change and self-management, cost-effective,
Improving technology acceptance, access to care, to enhance usability, easing the doctor’s duty, usefulness, timesaving
User interface and system function of prototype, end-user usability
Wilhide 201621 USA Patients with chronic diseases (diabetes, epilepsy, asthma, chronic obstructive pulmonary disease, lupus, HER2 +breast cancer, and low back pain) Setting: Not mentioned
Sample size: Not reported
mHealth; Mobile App for providing self-management Change healthcare service and self-management behaviour, access to care, cost-effective, user experience Not reported
Greenhalgh 20179 UK Individuals/patients who abandon health technologies Setting: Cardiology departments of hospital Sample size: Not reported Telehealth: A model for predicting and evaluating the success of technology-supported health and social care programmes Cost-effective, access to care, client self-refer, patient safety, ease of use, case management, Not reported