Remote Care Technology: A Systematic Review of Reviews and Meta-Analyses †
Abstract
:1. Introduction
2. Methods
3. Results
3.1. Diabetes
- Interactive web applications: to support automated information transmission from monitoring devices or allow the patients to record and transmit their measurements and report symptoms and behaviors, as well as provide a learning course about diabetes management, comprehensive patient-specific diabetes summary status, individualized plans (e.g., exercise, medication, or healthy eating), nutrition and exercise logs, insulin records, or motivational messages (e.g., messages that highlight the benefits of exercise) [7,21,22,28,29,32,33,40,48,49,53,55].
- Computer-based education systems: multimedia interventions on diabetes self-management, including video stories, quizzes, and feedback [28].
- Public kiosks, such as kiosks installed in the waiting room area with audio/video sequences to communicate information, provide psychological support, and promote diabetes self-management skills without extensive text or complex navigation [39].
- Smartphone applications: to support self-care activities, namely by providing reminders (e.g., short text messages or 30–60 s video messages on diabetes self-care topics), the acquisition of clinical information (e.g., integrating glucometers with mobile devices for automatic glucose level upload), the acquisition of complementary information (e.g., symptoms, alarms medication, or diet counseling), or physical activity tracked by built-in motion sensors or accelerometers [12,22,23,26,28,29,39,40,45,46,48,49,53].
- Social media: to provide peer support and education online, mostly through moderated forums [29].
- Gaming applications: to promote changing behavior (e.g., physical activity) [57].
3.2. Congestive Heart Failure
- Monitoring devices.
- Interactive voice response [25] to help the patient record the relevant information.
- Videoconference to allow communication between patients and clinical staff [25].
- Computer-based applications for the measurement and automated transmission of body weight, arterial blood pressure, and heart rating, together with recording the answers to questionnaires about systems and behaviors [8].
3.3. Chronic Obstructive Pulmonary Disease
3.4. Mental and Behavioral Disorders
3.5. Cancer
3.6. Hypertension
3.7. Other Chronic Conditions
4. Discussion and Conclusions
- Monitoring devices.
- Telephone (e.g., structured phone calls, interactive voice response, or short message service).
- Videoconference.
- Videotapes.
- Interactive web-based applications (e.g., social media or gaming systems).
- Computer-based applications (e.g., management systems, education systems, clinical decision support systems, or gaming systems).
- Public kiosks.
- Smartphone applications (e.g., social media, short message service, prompts, or gaming systems).
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Ref. | Scope | RCT/n |
---|---|---|
[7] | Determination of how emerging interactive information technology has been used to enhance care for patients with type 2 diabetes. | 14/26 |
[8] | Assessment of the value of home monitoring for congestive heart failure patients. | 13/42 |
[9] | Examination of home monitoring interventions for congestive heart failure patients. | 9/9 |
[10] | Determination of whether home monitoring without regular clinic or home visits improves outcomes for patients with congestive heart failure. | 14/14 |
[11] | Determination of whether interactive technologies and videotapes for the education of congestive heart failure patient improves knowledge, satisfaction, or other outcomes. | 9/9 |
[12] | Assessment of the effects of home monitoring of patients with diabetes at informational, clinical, behavioral, structural, and economical levels. | 9/9 |
[13] | Determination of benefits and deficiencies of teleconsultation and videoconferencing regarding clinical, behavioral, and care coordination outcomes of diabetes care. | 39/39 |
[14] | Assessment of home monitoring of congestive heart failure patients. | 9/9 |
[15] | Analysis of the efficiency of telemedicine use in the management of depression. | 10/10 |
[16] | Comparison of home telehealth with the usual care of patients with chronic obstructive pulmonary disease. | 10/10 |
[17] | Comparison of home monitoring with the usual care of congestive heart failure patients. | 9/9 |
[18] | Assessment of a treatment’s efficiency via videoconferencing of patients with psychosis. | 0/25 |
[19] | Determination of the benefits of using computer-based interventions to provide health education to patients with hypertension. | 4/6 |
[20] | Assessment of a treatment’s efficiency via videoconferencing of patients with psychosis. | 2/6 |
[21] | Discussion of web-based behavioral interventions for the management of type 2 diabetes. | 8/13 |
[22] | Assessment of the clinical effectiveness of mobile-based applications that allow1 patients to record and send their blood glucose readings. | 24/24 |
[23] | Assessment of the effect of behavioral telehealth interventions in type 2 diabetes on glycemic control and self-management. | 13/13 |
[24] | Analysis of computerized cognitive behavioral therapy’s efficiency for insomnia. | 6/533 |
[25] | Examination of whether the putative benefits of telehealth (i.e., improvements in clinical outcomes and quality of life) are mediated by increases in knowledge, self-efficacy, and the self-care behavior of congestive heart failure patients. | 7/12 |
[26] | Assessment of the use of smartphone technology for the management of patients with type 2 diabetes. | 7/7 |
[27] | Assessment of the interventions employing mobile technology for overweight and obese patients. | 21/21 |
[28] | Assessment of the effectiveness of information technology to promote physical activity in people with type 2 diabetes. | 15/15 |
[29] | Assessment of how information technology has been used to improve self-management for patients with diabetes. | 60/104 |
[30] | Assessment of the effectiveness, cost-effectiveness, and feasibility of using smartphones and tablets to facilitate the self-management of patients with asthma. | 2/2 |
[31] | Assessment of the effects on health status and quality of life of computer-based diabetes self-management interventions for patients with type 2 diabetes. | 17/17 |
[32] | Assessment of the effects of self-management health information technology for glycemic control in patients with diabetes. | 58/58 |
[33] | Assessment of behavioral change techniques in web-based self-management programs for type 2 diabetes patients. | 13/13 |
[34] | Analysis of the evidence on the acceptability, feasibility, safety, and benefits of online and mobile-based interventions for psychosis. | 0/12 |
[35] | Assessment of the effect of specific technologies on congestive heart failure management. | 25/25 |
[36] | Assessment of the cost-effectiveness of telehealth interventions for congestive heart failure patients. | 21/32 |
[37] | Analysis of the efficiency of information technology for reminiscence therapy of patients with dementia. | 0/44 |
[38] | Assessment of the effectiveness of remote care monitoring of congestive heart failure patients. | 13/13 |
[39] | Assessment of whether the use of consumer health information technology improves outcomes in patient self-management of diabetes. | 67/67 |
[40] | Understanding the ability of mobile health tools to offer glycemic control for patients with type 1 diabetes. | 1/14 |
[41] | Assessment of the effect of supportive telehealth interventions on pain, depression, and the quality of life of patients with cancer. | 20/20 |
[42] | Analysis of the effectiveness of telerehabilitation interventions in patients with multiple sclerosis. | 10/12 |
[43] | Assessment of whether dietary mobile apps improve dietary intake and clinical outcomes in patients with chronic renal disease. | 5/5 |
[44] | Assessment of the role of technology-enabled interventions to improve or enhance self-management among individuals with hypertension. | 0/12 |
[45] | Assessment of the impact of interventions promoting the monitoring of medication use and brief messaging to support medication adherence in patients with type 2 diabetes. | 11/11 |
[46] | Assessment of the effectiveness of mobile health interventions for diabetes. | 0/1479 |
[47] | Definition of the conceptual components of information technology applications to empower cancer survivors. | 3/26 |
[48] | Assessment of the effects of telecare intervention in patients with type 2 diabetes and inadequate glycemic control. | 18/18 |
[49] | Assessment of the types of technology being used to facilitate type 2 diabetes self-management. | 9/14 |
[50] | Determination of the general characteristics of web based self-management support interventions in cancer care. | 34/37 |
[51] | Assessment of the effects of telehealthcare on physical activity level, physical capacity, and dyspnoea of patients with chronic obstructive pulmonary disease. | 9/9 |
[52] | Assessment of the effectiveness of telemedicine in reducing adverse clinical outcomes of patients with chronic obstructive pulmonary disease. | 12/12 |
[53] | Analysis of the evidence for using information technology to manage diabetes. | 52/67 |
[54] | Assessment of computer-based psychological treatment’s efficiency for depression. | 19/40 |
[55] | Assessment of the effectiveness of glucose monitoring systems to facilitate regular healthcare provision to type 1 and type 2 diabetes patients. | 22/22 |
[56] | Assessment of the effectiveness of interventions to change lifestyle behavior delivered via automated brief messaging in patients with type 2 diabetes. | 13/13 |
[57] | Assessment of the effect of game-based interventions on HbA1c, diabetes-related knowledge, and physical outcomes in the rehabilitation of diabetes patients. | 4/4 |
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Queirós, A.; Alvarelhão, J.; Cerqueira, M.; Silva, A.G.; Santos, M.; Pacheco Rocha, N. Remote Care Technology: A Systematic Review of Reviews and Meta-Analyses. Technologies 2018, 6, 22. https://doi.org/10.3390/technologies6010022
Queirós A, Alvarelhão J, Cerqueira M, Silva AG, Santos M, Pacheco Rocha N. Remote Care Technology: A Systematic Review of Reviews and Meta-Analyses. Technologies. 2018; 6(1):22. https://doi.org/10.3390/technologies6010022
Chicago/Turabian StyleQueirós, Alexandra, Joaquim Alvarelhão, Margarida Cerqueira, Anabela G. Silva, Milton Santos, and Nelson Pacheco Rocha. 2018. "Remote Care Technology: A Systematic Review of Reviews and Meta-Analyses" Technologies 6, no. 1: 22. https://doi.org/10.3390/technologies6010022