| Literature DB >> 35265900 |
Caleb Ferguson1,2,3, Louise D Hickman4,5, Sabera Turkmani1,4, Paul Breen2,3, Gaetano Gargiulo2, Sally C Inglis4,5.
Abstract
Background: Wearable technologies are increasingly popular. Yet their use remains low by older adults, who may stand the greatest benefit of use. While there is an abundance of research examining the performance, accuracy, specificity, and sensitivity of wearable devices, many barriers remain and need to be addressed to optimize uptake in clinical practice. There is a paucity of research exploring factors that help to understand barriers and facilitators to inform acceptance, adoption, wearability, and sustainability of use.Entities:
Keywords: Cardiac monitoring; Digital health; Older adults; Qualitative; Technology; Wearable
Year: 2021 PMID: 35265900 PMCID: PMC8890057 DOI: 10.1016/j.cvdhj.2021.02.001
Source DB: PubMed Journal: Cardiovasc Digit Health J ISSN: 2666-6936
Inclusion and exclusion criteria
| Inclusion | Exclusion |
|---|---|
| 2000 onwards | Conference abstracts |
| Published papers | Protocols or commentaries |
| English language | Any study with implantable or inserted devices |
| Qualitative studies | |
| Qualitative studies presented within mixed-methods studies | |
| Wearable technologies or devices | |
| Older patients, mean age over 65 years |
Summary table of included studies
| Author/Date | Aim | Design and synthesis methodology | Sample | Method | Intervention/ monitoring device | Key findings | CASP Quality appraisal |
|---|---|---|---|---|---|---|---|
| Bratan et al 2005 | To explore features, feasibility, and acceptability of monitoring in community settings | Qualitative evaluation | N = 8 interviews with staff from 3 different residential and nursing homes (2 doctors, 4 managers, 1 carer, and 1 nurse) | Two sets of semi-structured interviews | Telemonitors measuring several variables, including 7-lead ECG, blood pressure, oxygen saturation, heart rate, temperature and respiration | The equipment was considered easy to use and enabled early detection of deterioration; a number of potential patient benefits although technical issues were frequent. | 5/10 |
| Cajita et al 2018 | To identify potential facilitators and barriers to the use of mHealth or mobile devices in older adults with heart failure | Qualitative, descriptive, exploratory study | N = 10 participants from the inpatient population of a large urban teaching hospital. | Semi-structured interviews in hospital patient rooms | No actual intervention, reporting on hypothetical use of mHealth, intention to use | Facilitators included previous experience with mobile technology, willingness to learn mHealth, ease of use, presence of useful features, adequate training, free equipment, and doctor's recommendation. | 9/10 |
| Ehmen et al 2012 | To evaluate the usability and acceptance of long-term monitoring system for older people | Qualitative | N = 12 from the hospital and the sport health park of the Evangelisches Geriatriezentrum Berlin (EGZB) | Structured interview with participants | Four different belts (2 heart rate monitors and 2 ECG devices): Polar wear link coded Garmin premium heart rate monitor Corscience CORBELT Zephyr bioharness BT | Participants found usability complex, struggles with clips and adjusting belts (poor fine motor skills). | 8/10 |
| Fairbrother et al 2014 | To understand views on acceptability and usefulness of telemonitoring in the eyes of health professionals and patients | Qualitative design using Framework approach | N = 18 patients who were telemonitored by GP or CHF nurse service and n = 5 health professionals involved in telemonitoring service. | Semi-structured interviews | Telemonitoring service including the Intel Health Guide, which measures oxygen saturation, heart rate, blood pressure, and weight. Daily assessment with an online questionnaire. | Patients found the service easy to use and felt reassurance that they had continuous practitioner surveillance. Did not encourage self-management and the need for formalized education was discussed. Patients and practitioners would prefer monitoring by practitioners that already knew about their condition. | 9 /10 |
| Fensli et al 2010 | To evaluate patient satisfaction of using wireless ECG-based BANs | Mixed methods | N = 36 participants from a cardiac outpatient clinic (11 evaluating wireless ECG BAN and 25 evaluating Holter monitor) | Follow-up interviews | Comparison between Holter monitor and wireless ECG-based BAN; body-worn wireless ECG sensor and hand-held device. | Positive experiences with ECG BAN, comfortable and not limiting with physical activity and daily living. | 8/10 |
| Middlemass et al 2017 | To explore patients’ experiences and perceptions of telemonitoring equipment in their homes | Qualitative | N = 21 participants with long-term multimorbidities, COPD, and 1 other heart-related condition. (Age range 60–99 years) | Interviews at 2 time points: after installation and at the end of the study | Telemonitoring at home: | Strong concerns regarding health professional access and attachment; heightened illness anxiety and desire to avoid continuation of the “sick-role.” | 10/10 |
| Seto et al 2010 | To assess the attitudes of heart failure patients and health professionals to the use of mobile phone–based remote monitoring | Mixed methods | N = 36 participants (20 heart failure patients and 16 clinicians). | Semi-structured interviews | Mobile phone–based remote monitoring system includes wireless (Bluetooth-enabled) weight scale, blood pressure monitor, and single-lead ECG | A number of benefits were identified, including clinical care improvement, self-care improvement, increased reassurance/accountability, reduced clinic visits, and ability to monitor health even when patients are away from home. | 8/10 |
BAN = body area network; CASP = Critical Appraisal Skills Programme; CHF = chronic heart failure; COPD = chronic obstructive pulmonary disease; ECG = electrocardiogram; GP = general practitioner.
Thematic data analysis
| Trust, safety, and confidence | Functionality and affordability | Risks | Assurance |
|---|---|---|---|
Facilitating learning and health promotion | Design | Medical compliance | Unforeseen technical issues |
Communication and interaction | Cost | Interplay of stress and anxiety | Assurance of data |
Early detection and protection | Usefulness | Self-management | Timely feedback/ workload |
Figure 1PRISMA flow diagram of study selection.