| Literature DB >> 34048508 |
Sera Whitelaw1, Danielle M Pellegrini2, Mamas A Mamas3,4, Martin Cowie5, Harriette G C Van Spall1,6,7,8.
Abstract
Digital health technology (DHT) has the potential to revolutionize healthcare delivery but its uptake has been low in clinical and research settings. The factors that contribute to the limited adoption of DHT, particularly in cardiovascular settings, are unclear. The objective of this review was to determine the barriers and facilitators of DHT uptake from the perspective of patients, clinicians, and researchers. We searched MEDLINE, EMBASE, and CINAHL databases for studies published from inception to May 2020 that reported barriers and/or facilitators of DHT adoption in cardiovascular care. We extracted data on study design, setting, cardiovascular condition, and type of DHT. We conducted a thematic analysis to identify barriers and facilitators of DHT uptake. The search identified 3075 unique studies, of which 29 studies met eligibility criteria. Studies employed: qualitative methods (n = 13), which included interviews and focus groups; quantitative methods (n = 5), which included surveys; or a combination of qualitative and quantitative methods (n = 11). Twenty-five studies reported patient-level barriers, most common of which were difficult-to-use technology (n=7) and a poor internet connection (n=7). Six studies reported clinician-level barriers, which included increased workload (n=4) and a lack of integration with electronic medical records (n=3).Twenty-four studies reported patient-level facilitators, which included improved communication with clinicians (n=10) and personalized technology (n=6). Four studies reported clinician-level facilitators, which included approval and organizational support from cardiology departments and/or hospitals (n=3) and technologies that improved efficiency (n=3). No studies reported researcher-level barriers or facilitators. In summary, internet access, user-friendliness, organizational support, workflow efficiency, and data integration were reported as important factors in the uptake of DHT by patients and clinicians. These factors can be considered when selecting and implementing DHTs in cardiovascular clinical settings. The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology.Entities:
Keywords: Barriers; Cardiology; Cardiovascular Disease; Digital Health Technology; Facilitators
Year: 2021 PMID: 34048508 PMCID: PMC8139413 DOI: 10.1093/ehjdh/ztab005
Source DB: PubMed Journal: Eur Heart J Digit Health ISSN: 2634-3916
American Medical Associations classification of digital health tools
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Characteristics of included studies (n=29)
| Reference and country | Study period | Digital health tool | Description of tool | Participants | Method of data collection | Analysis |
|---|---|---|---|---|---|---|
| Allemann 2019 (Sweden) | 20152017 | Tele-visits/virtual visits | Information communication technologies designed to support family members in caring for patients. | Family members of patients with heart failure who received care from a heart function clinic ( | Focus groups | Content analysis |
| Alnosayan 2017 (USA) | 2012 | Remote monitoring and management | A mHealth system which includes a Bluetooth-enabled blood pressure monitor, weight scale, glucose metre, and a mobile phone loaded with the MyHeart application programmed to alert clinicians upon patient decompensation. | Patients with heart failure who had recently been discharged from the hospital ( | Focus groups | Grounded theory |
| Ancker 2015 (USA) | 2015 | Patient engagement | Personal health information tracking facilitated through digital technology to monitor patients health conditions. | Patients with at least one chronic medical condition ( | Semi-structured interviews | Grounded theory and thematic analysis |
| Anttilla 2019 (Finland) | 20152016 | Tele-visits/virtual visits | A remote cardiac rehabilitation programme delivered through video conferencing software. | Patients who had undergone coronary angioplasty or coronary artery bypass ( | Focus groups | Grounded theory |
| Buck 2017 (USA) | 2015 | Patient engagement | An internet-based tablet where participants recorded their daily medication intake, weight, and time spent exercising and could access disease-specific educational videos. | Patients with heart failure ( | Semi-structured interviews | Inductive analysis |
| Cajita 2017 (USA) | 2016 | Remote monitoring and management | A mHealth monitoring system composed of a weight scale, blood pressure monitor, pulse oximeter, and a mobile device. | Patients with heart failure ( | Survey | Quantitative analysis |
| Chantler 2016 (UK) | 20132014 | Remote monitoring and management | A mHealth monitoring system that included a tablet and a Bluetooth enabled blood pressure monitor and weight scale. | Patients with heart failure ( | Semi-structured interviews | Thematic analysis |
| Chen 2018 (China) | 2015 | Patient engagement | A mobile application that administered messages to patients to improve medication adherence and encourage lifestyle modifications. | Patients with myocardial infarction or coronary heart disease ( | Surveys, focus groups and interviews | Quantitative and thematic analysis |
| Dang 2017 (USA) | 2011 | Patient engagement | A mobile phone monitoring system facilitated through website-based messaging. | Patients with heart failure ( | Surveys and interviews | Quantitative and thematic analysis |
| Guo 2019 (China) | 2017 | Remote monitoring and management | A tablet-based platform that collected and integrated patient data from monitoring devices, electronic health records, and laboratory investigations with secure messaging and video conferencing capabilities. | Patients with heart failure ( | Surveys and interviews | Quantitative and thematic analyses |
| Haldane 2019 (Singapore) | Not reported | Patient engagement | Mobile text messages to promote medication adherence. | Patients with coronary artery disease, ischaemic stroke, peripheral artery disease, or atherosclerotic aortic disease ( | Surveys and semi-structured interviews | Quantitative and constant comparison analyses |
| Holender 2018 (UK) | 2015 | Patient engagement | Mobile phones, smart watches, and ingestible sensor systems to monitor medication adherence. | Patients ( | Focus groups | Thematic analysis |
| Hunting 2015 (Canada) | 20122014 | Remote monitoring and management | Telehomecare programme to increase self-management skills and to improve the monitoring of patients via remote health status monitoring. | Patients ( | Semi-structured interviews, ethnographic observations and document review | Grounded theory |
| Jiang 2019 (China) | 2016 | Patient engagement | A mobile health system to support disease-specific self-management. | Patients ( | Survey | Quantitative analysis |
| Kerr 2010 (UK) | Not reported | Patient engagement | A web-based platform that provided educational information, behaviour change support, and peer and expert support. | Patients with coronary heart disease ( | Surveys and semi-structured interviews | Quantitative and thematic analyses |
| Lefler 2018 (USA) | Not reported | Remote monitoring and management | A mHealth monitoring system that included a tablet and a Bluetooth-enabled blood pressure monitor and weight scale to provide real-time monitoring and alert clinicians upon decompensation. | Patients with heart failure ( | Surveys and semi-structured interviews | Quantitative and content analyses |
| Li 2017 (China) | 20112013 | Patient engagement | A short message service to encourage disease-specific self-management. | Patients admitted to the hospital with heart failure ( | Survey | Quantitative analysis |
| Nahm 2008 (USA) | 2006 | Patient engagement | A web-based eHealth management programme to support self-management. | Patients with heart failure ( | Survey | Quantitative analysis |
| Nguyen 2017 (Canada) | 2014 | Patient engagement | Digital health technology to promote self-care after hospital discharge. | Patients with heart failure ( | Surveys and semi-structured interviews | Quantitative and thematic analyses |
| Pfaeffli Dale 2015 (New Zealand) | 20112012 | Patient engagement | Mobile text messages and an interactive website with exercise prescriptions tailored to participants fitness level. | Patients with ischaemic heart disease ( | Surveys and interviews | Quantitative and thematic analyses |
| Pekmezaris 2016 (USA) | Not reported | Tele-visits/virtual visits | A telemonitoring system that combined monitoring of patients vital signs through a glucometer, blood pressure monitor, weight scale, pulse oximeter, and stethoscope with video visits from clinicians. | Patients with heart failure, caregivers, clinicians, and health policy representatives ( | Focus groups | Thematic analysis |
| Rief 2017 (USA) | 20102011 | Consumer access to clinical data | A patient accessible personal health record system that included medication lists, information about allergies and immunizations, medical histories, laboratory results, health reminders, and secure messaging. | Patients with coronary artery disease, heart failure, hypertension, or hyperlipidaemia ( | Focus groups | Thematic analysis |
| Sanders 2012 (UK) | 20082009 | Remote monitoring and management | A telehealth monitoring system that included a blood pressure monitor, glucometer, pulse oximeter, and weight scale and alerted clinicians upon patient decompensation. | Patients with diabetes, chronic obstructive pulmonary disease, or heart failure ( | Semi-structured interviews | Thematic analysis, grounded theory and constant comparison |
| Smith 2015 (India) | Not reported | Remote monitoring and management | The expanded use of mobile phones to improve cardiovascular disease management. | Accredited social health activists ( | Semi-structured interviews | Thematic analysis |
| Treskes 2019 (Netherlands) | 2017 | Remote monitoring and management | The broad use of information technology to deliver health care in cardiology. | Physicians ( | Survey | Quantitative analysis |
| Wallin 2018 (Sweden) | 20152016 | Patient engagement | An internet-based cognitive behavioural therapy programme that included educational and therapeutic modules and secure messaging capabilities aimed to improve depression and anxiety symptoms. | Patients who were recently hospitalized for a myocardial infarction ( | Semi-structured interviews | Content analysis |
| Walsh 2018 (Ireland) | 20162017 | Patient engagement | An internet-enabled, sensor-based home exercise cardiac rehabilitation programme to encourage exercise participation and self-management. | Patients with cardiovascular disease ( | Semi-structured interviews | Thematic analysis |
| Ware 2019 (Canada) | 20162018 | Remote monitoring and management | A mobile application where patients recorded their weight, blood pressure, heart rate, and symptoms to generate an algorithm that alerted clinicians upon decompensation. | Patients with heart failure ( | Surveys and semi-structured interviews | Quantitative and thematic analyses |
| Woods 2019 (Australia) | Not reported | Patient engagement | A mobile application designed to encourage self-management that included educational material, reminders and symptom tracking. | Patients with heart failure ( | Surveys and semi-structured interviews | Quantitative and thematic analyses |
Summary of characteristics of included studies (n=29)
| Number of studies (%) | |
|---|---|
| Country | |
| Australia | 1 (3.4) |
| Canada | 3 (10.3) |
| China | 4 (13.8) |
| Finland | 1 (3.4) |
| India | 1 (3.4) |
| Ireland | 1 (3.4) |
| Netherlands | 1 (3.4) |
| New Zealand | 1 (3.4) |
| Singapore | 1 (3.4) |
| Sweden | 2 (6.9) |
| UK | 4 (13.8) |
| USA | 9 (31.0) |
| Participants | |
| Caregivers | 5 (17.2) |
| Patients | 27 (93.1) |
| Clinicians | 7 (24.1) |
| Stakeholders and other | 3 (10.3) |
| Digital health tool | |
| Consumer access to clinical data | 1 (3.4) |
| Patient engagement | 15 (51.7) |
| Remote monitoring and management | 10 (34.5) |
| Tele-visits/virtual visits | 3 (10.3) |
| Cardiovascular condition | |
| Arrhythmia | 1 (3.4) |
| Atherosclerotic aortic disease | 1 (3.4) |
| Coronary artery bypass graft | 1 (3.4) |
| Coronary artery disease | 6 (20.7) |
| Heart failure | 19 (65.5) |
| Myocardial infarction | 2 (6.9) |
| Unspecified | 5 (17.2) |
| Data collection | |
| Focus groups | 6 (20.7) |
| Interviews | 7 (24.1) |
| Mixed methods | 11 (37.9) |
| Surveys | 5 (17.2) |
| Analysis method | |
| Content analysis | 2 (6.9) |
| Grounded theory | 3 (10.3) |
| Inductive analysis | 1 (3.4) |
| Mixed methods analysis | 12 (41.4) |
| Quantitative analysis | 5 (17.2) |
| Thematic analysis | 6 (20.7) |
| Year of publication | |
| 2008 | 1 (3.4) |
| 2010 | 1 (3.4) |
| 2012 | 1 (3.4) |
| 2015 | 4 (13.8) |
| 2016 | 2 (6.9) |
| 2017 | 7 (24.1) |
| 2018 | 5 (17.2) |
| 2019 | 8 (27.6) |
Patient-level barriers and facilitators of the uptake of digital health technology (29 studies)
| Studies, | |
|---|---|
| Facilitators | |
| Improved connection and communication with clinicians | 10 (34.5) |
| Personalized components | 6 (20.7) |
| Easy to use technology | 5 (17.2) |
| Previous experience with technology | 5 (17.2) |
| Perceived usefulness | 5 (17.2) |
| Empowerment | 5 (17.2) |
| Education and training sessions | 3 (10.3) |
| Support from family and/or caregivers | 2 (6.9) |
| Home internet access | 2 (6.9) |
| Technological support | 2 (6.9) |
| Willingness to learn | 1 (3.4) |
| Higher education | 1 (3.4) |
| Improved sense of security | 1 (3.4) |
| Barriers | |
| Difficult to use technology | 7 (24.1) |
| Poor internet connection | 7 (24.1) |
| Fear of using technology | 6 (20.7) |
| Impersonal care delivery | 5 (17.2) |
| Older age | 5 (17.2) |
| Lack of interest in technology | 5 (17.2) |
| Cognitive impairment | 4 (13.8) |
| Technical problems | 4 (13.8) |
| Time consuming | 4 (13.8) |
| Emotional and/or moral implications | 3 (10.3) |
| Financial concerns | 3 (10.3) |
| Language barriers | 3 (10.3) |
| Anxiety and/or other mental health conditions | 1 (3.4) |
| Mobility limitations | 1 (3.4) |
Clinician-level barriers and facilitators of the uptake of digital health technology (29 studies)
| Studies, | |
|---|---|
| Facilitators | |
| Approval and organizational support from cardiology departments and/or hospitals | 3 (10.3) |
| Improved efficiency | 3 (10.3) |
| Perceived usefulness | 2 (6.9) |
| Increased communication with patients and clinicians | 2 (6.9) |
| Training programmes | 1 (3.4) |
| Barriers | |
| Increased work and responsibilities | 4 (13.8) |
| Unreliable technologies and/or lack of evidence supporting the use of technology technology | 3 (10.3) |
| Lack of integration with electronic medical records | 3 (10.3) |
| Data privacy and security concerns | 2 (6.9) |
| Financial concerns | 2 (6.9) |
| Impersonal care delivery | 2 (6.9) |
| Lack of customizable features | 1 (3.4) |
| Negative pressure from department and/or hospitals | 1 (3.4) |
| Healthcare reimbursement issues | 1 (3.4) |
| Time consuming | 1 (3.4) |
Recommendations to increase the uptake of digital health technology in cardiovascular care
| Design | Developers should capitalize on human-centred design principles and engage patients, clinicians and stakeholders throughout the entirety of the technology development process. |
| Testing |
Digital health technologies should be tested and validated with cardiology patients and clinicians. Digital health technologies should be routinely evaluated to account for data errors as a result of user error and/or misuse. Evaluation of all digital health technologies should adhere to quality improvement guidelines. |
| Data privacy and security | Digital health technologies should comply with all required data governance, privacy, and security regulations. |
| Personalized care | Digital health technology should supplement in-person care (blended model). |
| Integration | Digital health technologies should be integrated with electronic medical records and existing health system processes. |
| Cost and access |
Digital health technologies should be tailored to the target regions. Federal and private sectors should invest in technology and infrastructure to increase internet/broadband access. Digital health technologies should be priced fairly to the target users. Patients should be able to claim digital health technologies through insurance plans. Subsidized smartphone plans, free Wi-Fi hotspots and technology renting programmes should be available for those who need it. Automated applications and devices that do not require continuous internet access should be implemented in regions without sufficient infrastructure and funds to support cellular and data coverage. |
| Regulations |
Regulatory models should be developed to permit clinicians to obtain credentialing for digital health technologies. Regulations and guidelines should be established to define and communicate responsibilities and liabilities to technology vendors, clinicians and patients. All digital health technologies should be regulated and certified. |
| Reimbursement |
Clinicians should receive reimbursement for using digital health technologies. Guidelines, policies and procedures for using and reimbursing digital health technologies should be implemented. |
| Departments and institutions |
Departments and institutions should support and encourage the use of digital health technologies. Performance incentives and mandates should be implemented to encourage digital health technology uptake. |
| Patient supports |
Patients should receive education on the benefits of digital health technologies. Patients should be encouraged to participate in e-patient movements and advocacy. Patients should be provided with accessible translating features and accessible technologies to overcome language barriers and disabilities. Family members and informal caregivers should engage in digital health technologies with the patients. |
| Training |
Patients should be provided training when prescribed digital health technology. Medical students should receive education on digital health technology as part of their medical school curriculum. Practicing clinicians should be required to complete continuing education programmes or certification courses in digital health technology. |
| Technology support | Technology supports should be provided for both patients and clinicians. |