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Gerber S, Silver RE, Das SK, Greene SS, Dix SR, Ramirez I, Morcos CL, Dao MC, Ceglia L, Roberts SB. Development and Feasibility of an eHealth Diabetes Prevention Program Adapted for Older Adults-Results from a Randomized Control Pilot Study. Nutrients 2024; 16:930. [PMID: 38612963 DOI: 10.3390/nu16070930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 03/11/2024] [Accepted: 03/13/2024] [Indexed: 04/14/2024] Open
Abstract
Lifestyle programs that reduce health risks and support weight loss (WL) in older adults face adherence and attendance challenges due to reduced energy requirements, impaired mobility, lack of transportation, and low social support. Tailored lifestyle and weight management programs are needed to better support healthy aging for older adults. Here, we developed and piloted an age-adapted, remotely delivered modification of the Diabetes Prevention Program (DPP). The modification includes age-appropriate goals, visuals, and examples; flexible dietary composition; remote classroom and fitness-monitoring technology; and standardized online classroom materials employing pedagogical and behavior change theory. The modifications were designed to safeguard fidelity and to boost adherence, engagement, and knowledge integration, with the convenience of a fully remote WL program for diverse older adults. Six-month pilot data are presented from older adults (55-85 years, body mass index (BMI) 27-39.9 kg/m2, N = 20) randomly allocated to an online DPP intervention with weight, diet, and activity monitored remotely, or into a waitlisted control. The intervention achieved 100% attendance and adherence to self-monitoring. The intervention group mean (±SD) body weight change was -9.5% (±4.1); 90% lost ≥ 5%. By contrast, the control group gained 2.4% (±1.8). Once thought incompatible with older adults, remote interventions are feasible for older adults and can support fidelity, adherence, engagement, and clinically significant WL. Standardized materials are provided for future implementation.
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Affiliation(s)
- Suzannah Gerber
- Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Avenue, Boston, MA 02111, USA
| | - Rachel E Silver
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, 711 Washington Street, Boston, MA 02111, USA
| | - Sai Krupa Das
- Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Avenue, Boston, MA 02111, USA
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, 711 Washington Street, Boston, MA 02111, USA
| | - Savana S Greene
- Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Avenue, Boston, MA 02111, USA
| | - Sadie R Dix
- Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Avenue, Boston, MA 02111, USA
| | - Isabella Ramirez
- Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Avenue, Boston, MA 02111, USA
| | - Christina L Morcos
- Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Avenue, Boston, MA 02111, USA
| | - Maria Carlota Dao
- Department of Agriculture, Nutrition, and Food Systems, University of New Hampshire, Durham, NH 03824, USA
| | - Lisa Ceglia
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, 711 Washington Street, Boston, MA 02111, USA
- Division of Endocrinology, Diabetes and Metabolism, Tufts Medical Center, Boston, MA 02111, USA
| | - Susan B Roberts
- Geisel School of Medicine, Dartmouth College, 1 Rope Ferry Rd., Hanover, NH 03755, USA
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Artese AL, Rawat R, Sung AD. The use of commercial wrist-worn technology to track physiological outcomes in behavioral interventions. Curr Opin Clin Nutr Metab Care 2023; 26:534-540. [PMID: 37522804 DOI: 10.1097/mco.0000000000000970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Abstract
PURPOSE OF REVIEW The aim of this review is to provide an overview of the use of commercial wrist-worn mobile health devices to track and monitor physiological outcomes in behavioral interventions as well as discuss considerations for selecting the optimal device. RECENT FINDINGS Wearable technology can enhance intervention design and implementation. The use of wrist-worn wearables provides the opportunity for tracking physiological outcomes, thus providing a unique approach for assessment and delivery of remote interventions. Recent findings support the utility, acceptability, and benefits of commercial wrist-worn wearables in interventions, and they can be used to continuously monitor outcomes, remotely administer assessments, track adherence, and personalize interventions. Wrist-worn devices show acceptable accuracy when measuring heart rate, blood pressure, step counts, and physical activity; however, accuracy is dependent on activity type, intensity, and device brand. These factors should be considered when designing behavioral interventions that utilize wearable technology. SUMMARY With the continuous advancement in technology and frequent product upgrades, the capabilities of commercial wrist-worn devices will continue to expand, thus increasing their potential use in intervention research. Continued research is needed to examine and validate the most recent devices on the market to better inform intervention design and implementation.
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Affiliation(s)
| | - Rahul Rawat
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Anthony D Sung
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
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Pedersen K, Schlichter BR. Improving Predictability and Effectiveness in Preventive Digital Health Interventions: Scoping Review. Interact J Med Res 2023; 12:e40205. [PMID: 37471129 PMCID: PMC10401197 DOI: 10.2196/40205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 11/01/2022] [Accepted: 06/09/2023] [Indexed: 07/21/2023] Open
Abstract
BACKGROUND Lifestyle-related diseases caused by inadequate diet and physical activity cause premature death, loss of healthy life years, and increased health care costs. Randomized controlled trial (RCT) studies indicate that preventive digital health interventions (P-DHIs) can be effective in preventing these health problems, but the results of these studies are mixed. Adoption studies have identified multiple factors related to individuals and the context in which they live that complicate the transfer of positive results from RCT studies to practical use. Implementation studies have revealed barriers to the large-scale implementation of mobile health (mHealth) solutions in general. Consequently, there is no clear path to delivering predictable outcomes from P-DHIs and achieving effectiveness when scaling up interventions to reduce health problems in society. OBJECTIVE This research aimed to expand our understanding of how to increase the outcome predictability of P-DHIs by focusing on physical activity and diet behaviors and amplify our understanding of how to improve effectiveness in large-scale implementations. METHODS The research objective was pursued through a multidisciplinary scoping review. This scoping review used the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) as a guide. A comprehensive search of Web of Science and PubMed limited to English-language journal articles published before January 2022 was conducted. Google Scholar was used for hand searches. Information systems theory was used to identify key constructs influencing outcomes of IT in general. Public health and mHealth literature were used to identify factors influencing the adoption of, outcomes from, and implementation of P-DHIs. Finally, the P-DHI investment model was developed based on information systems constructs and factors from the public health and mHealth literature. RESULTS In total, 203 articles met the eligibility criteria. The included studies used a variety of methodologies, including literature reviews, interviews, surveys, and RCT studies. The P-DHI investment model suggests which constructs and related factors should be emphasized to increase the predictability of P-DHI outcomes and improve the effectiveness of large-scale implementations. CONCLUSIONS The research suggests that outcome predictability could be improved by including descriptions of the constructs and factors in the P-DHI investment model when reporting from empirical studies. Doing so would increase our understanding of when and why P-DHIs succeed or fail. The effectiveness of large-scale implementations may be improved by using the P-DHI investment model to evaluate potential difficulties and possibilities in implementing P-DHIs to create better environments for their use before investing in them and when designing and implementing them. The cost-effectiveness of large-scale implementations is unknown; implementations are far more complicated than just downloading and using apps, and there is uncertainty accompanying implementations given the lack of coordinated control over the constructs and factors that influence the outcome.
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Affiliation(s)
- Keld Pedersen
- Information Systems, Department of Management, Aarhus University, Aarhus C, Denmark
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Esber A, Teufel M, Jahre L, in der Schmitten J, Skoda EM, Bäuerle A. Predictors of patients' acceptance of video consultation in general practice during the coronavirus disease 2019 pandemic applying the unified theory of acceptance and use of technology model. Digit Health 2023; 9:20552076221149317. [PMID: 36815005 PMCID: PMC9940186 DOI: 10.1177/20552076221149317] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 12/18/2022] [Indexed: 01/20/2023] Open
Abstract
Background The coronavirus disease 2019 pandemic has led to an increase in remote consultations in health care. This study aimed to assess the acceptance of video consultation as an alternative to face-to-face in-office visits in general practice (GP) and to investigate its drivers and barriers. Methods A cross-sectional study was conducted in Germany during the coronavirus disease 2019 pandemic from December 2020 to April 2021. Participants were recruited among patients in 16 GP surgeries. Assessed were sociodemographic and medical data as well as information and communications technology related data. Acceptance of video consultation and its predictors were determined using a modified questionnaire based on a short version of the renowned unified theory of acceptance and use of technology model. Results In total, 371 participants were included in the data analysis. Acceptance of video consultation was moderate. A hierarchical regression revealed acceptance was significantly predicted by the PHQ-2, taking no regular medication, computer proficiency, knowledge about digital health care solutions, no prior use of video consultation, and the unified theory of acceptance and use of technology predictors performance expectancy, effort expectancy, and social influence. The extended unified theory of acceptance and use of technology model explained significantly more variance than the restricted unified theory of acceptance and use of technology model in acceptance of video consultation. Conclusions In this study computer proficiency, existing knowledge about digital health care solutions and depressive symptoms functioned as drivers to acceptance, no prior use of video consultation could be identified as a potential barrier. Patients with regular medication have been particularly receptive to video consultation. The study confirmed the validity of the unified theory of acceptance and use of technology model in determining acceptance of video consultation. Considering that there is growing demand and acceptance for different approaches to engage with health care providers, additional steps should be taken to establish video consultation as a genuine alternative.
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Affiliation(s)
- André Esber
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Martin Teufel
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Essen, Germany,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, Essen, Germany
| | - Lisa Jahre
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Essen, Germany,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, Essen, Germany
| | - Jürgen in der Schmitten
- Institute of General Practice, Center for Translational Neuro- and Behavioral Sciences, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Eva-Maria Skoda
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Essen, Germany,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, Essen, Germany
| | - Alexander Bäuerle
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Essen, Germany,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, Essen, Germany,Alexander Bäuerle, Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
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Weber M, Schmitt KU, Frei A, Puhan MA, Raab AM. Needs assessment in community-dwelling older adults toward digital interventions to promote physical activity: Cross-sectional survey study. Digit Health 2023; 9:20552076231203785. [PMID: 37799500 PMCID: PMC10548814 DOI: 10.1177/20552076231203785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/09/2023] [Indexed: 10/07/2023] Open
Abstract
Background Tackling physical inactivity represents a key global public health challenge. Strategies to increase physical activity (PA) are therefore warranted. Despite the rising availability of digital interventions (DIs), which offer tremendous potential for PA promotion, there has been inadequate attention to the special needs of older adults. Objective The aim was to investigate community-dwelling older adults' needs, requirements, and preferences toward DIs to promote PA. Methods The target population of this cross-sectional study was community-dwelling older adults (≥60 years old) within German-speaking Switzerland. Potential respondents were informed about the study and sent a link to a self-developed and self-administered online survey by our cooperating institutions. Results Overall, 922 respondents who completed the online survey were included in the final analysis. The mean age of the sample was 72 years (SD 6.4, range 60-98). The preferred delivery mode of DIs to promote PA was a website (428/922, 46.4%) and 80.3% (740/922) preferred video-based structures. Most respondents expressed the need for personal access, personal goals, personal messages, and a personal contact in case of problems or questions (585/817, 71.6%; 546/811, 67.3%; 536/822, 65.2%; 536/822, 65.2%). Memory training, psychological wellbeing, and nutrition were mainly rated as relevant additional content of DIs to promote PA (690/849, 81.2%; 661/845, 78.2%, 619/849, 72.9%). Conclusion Community-dwelling older adults may be willing to use DIs to promote PA in the long term, but this study identified particular needs and requirements in terms of design, technological realization, delivery mode, support, and individualization/personalization among the sample. Our results can inform future developments of DIs to promote PA specifically tailored to older adults. However, caution is warranted in interpreting the findings due to the sample's high PA and education levels.
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Affiliation(s)
- Manuel Weber
- Academic-Practice-Partnership between Bern University of Applied Sciences and University Hospital of Bern, School of Health Professions, Bern University of Applied Sciences, Bern, Switzerland
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Kai-Uwe Schmitt
- Academic-Practice-Partnership between Bern University of Applied Sciences and University Hospital of Bern, School of Health Professions, Bern University of Applied Sciences, Bern, Switzerland
| | - Anja Frei
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Milo A Puhan
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Anja M Raab
- Academic-Practice-Partnership between Bern University of Applied Sciences and University Hospital of Bern, School of Health Professions, Bern University of Applied Sciences, Bern, Switzerland
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Yu J, de Antonio A, Villalba-Mora E. Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis. J Med Internet Res 2022; 24:e31920. [PMID: 35089155 PMCID: PMC8838594 DOI: 10.2196/31920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 09/21/2021] [Accepted: 11/27/2021] [Indexed: 11/16/2022] Open
Abstract
Background eHealth and telehealth play a crucial role in assisting older adults who visit hospitals frequently or who live in nursing homes and can benefit from staying at home while being cared for. Adapting to new technologies can be difficult for older people. Thus, to better apply these technologies to older adults’ lives, many studies have analyzed the acceptance factors for this particular population. However, there is not yet a consensual framework that can be used in further development and to search for solutions. Objective This paper aims to present an integrated acceptance framework (IAF) for older users’ acceptance of eHealth based on 43 studies selected through a systematic review. Methods We conducted a 4-step study. First, through a systematic review in the field of eHealth from 2010 to 2020, the acceptance factors and basic data for analysis were extracted. Second, we conducted a thematic analysis to group the factors into themes to propose an integrated framework for acceptance. Third, we defined a metric to evaluate the impact of the factors addressed in the studies. Finally, the differences among the important IAF factors were analyzed according to the participants’ health conditions, verification time, and year. Results Through a systematic review, 731 studies were found in 5 major databases, resulting in 43 (5.9%) selected studies using the PRISMA (Preferred Reporting Item for Systematic Reviews and Meta-Analyses) methodology. First, the research methods and acceptance factors for eHealth were compared and analyzed, extracting a total of 105 acceptance factors, which were grouped later, resulting in an IAF. A total of 5 dimensions (ie, personal, user–technology relational, technological, service-related, and environmental) emerged, with a total of 23 factors. In addition, we assessed the quality of evidence and then conducted a stratification analysis to reveal the more appropriate factors depending on the health condition and assessment time. Finally, we assessed the factors and dimensions that have recently become more important. Conclusions The result of this investigation is a framework for conducting research on eHealth acceptance. To elaborately analyze the impact of the factors of the proposed framework, the criteria for evaluating the evidence from the studies that have the extracted factors are presented. Through this process, the impact of each factor in the IAF has been presented, in addition to the framework proposal. Moreover, a meta-analysis of the current status of research is presented, highlighting the areas where specific measures are needed to facilitate eHealth acceptance.
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Affiliation(s)
- Jiyeon Yu
- Research Group on Human-Computer Interaction and Advanced Interactive Systems, Madrid HCI Lab, Universidad Politécnica de Madrid, Madrid, Spain
| | - Angelica de Antonio
- Research Group on Human-Computer Interaction and Advanced Interactive Systems, Madrid HCI Lab, Universidad Politécnica de Madrid, Madrid, Spain
| | - Elena Villalba-Mora
- Centre for Biomedical Technology (CTB), Universidad Politécnica de Madrid, Madrid, Spain.,Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
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Foster JI, Williams KL, Timmer BHB, Brauer SG. Concurrent Validity of the Garmin Vivofit®4 to Accurately Record Step Count in Older Adults in Challenging Environments. J Aging Phys Act 2022;:1-9. [PMID: 34996032 DOI: 10.1123/japa.2021-0231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 10/23/2021] [Accepted: 11/24/2021] [Indexed: 11/18/2022]
Abstract
There is little evidence of the concurrent validity of commercially available wrist-worn long battery life activity monitors to measure steps in older adults at slow speeds and with real-world challenges. Forty adults aged over 60 years performed a treadmill protocol at four speeds, a 50-m indoor circuit, and a 200-m outdoor circuit with environmental challenges while wearing a Garmin Vivofit®4, the activPAL3™, and a chest-worn camera angled at the feet. The Garmin Vivofit®4 showed high intraclass correlation coefficients2,1 (.98-.99) and low absolute percentage error rates (<2%) at the fastest treadmill speeds and the outdoor circuit. Step counts were underestimated at the slowest treadmill speed and the indoor circuit. The Garmin Vivofit®4 is accurate for older adults at higher walking speeds and during outdoor walking. However, it underestimates steps at slow speeds and when walking indoors with postural transitions.
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Ma D, Orner D, Ghaly MM, Parashar B, Ames JW, Chen WC, Potters L, Teckie S. Automated health chats for symptom management of head and neck cancer patients undergoing radiation therapy. Oral Oncol 2021; 122:105551. [PMID: 34700280 DOI: 10.1016/j.oraloncology.2021.105551] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 09/20/2021] [Accepted: 09/25/2021] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To report the early experience using an automated chatbot (Chats)for patient-reported outcomes (PRO) and symptom self-managementinhead and neck cancer (HNC) patients undergoing radiation treatment (RT). METHODS Patients aged ≥ 18 yearsdiagnosed with HNC who were scheduled to begin RT were given the option to use Chats from June 2018 to June 2019. Enrolled patients received chat notifications two days before weekly on-treatment visitsand every 1-4 weeks after RT for an additional 4 months. After the first in-person follow-up visit, participants completed an electronic usability and satisfaction questionnaire. RESULTS Of 95 patients who agreed to participate, 84 were eligible for analysis.Participantswere significantly younger than patients who declined participation (mean age 61.3 vs 68.3 years;p-value < 0.001). Patient engagement with Chats was highest at 67% during the first month and declined over time (p-value = 0.004). Concordance between PRO and clinician-reported outcomes (CRO) was fair, ranging from 0.10 to 0.43 (Cohen κ statistics). The most commonly under-reported symptoms were salivary duct inflammation (53%), xerostomia (41%), and mucositis (37%). 89% (39 of 44) of patients who completed surveys found Chats easy to use, and 61% reported that Chats helped with symptom self-management and reduced the need to call the care team. CONCLUSIONS These early results suggest that an interactive chatbot is feasible and provides support for HNC patients during and after RT. Chats identified discordance between PRO and CRO. Further study is required to measure benefits of Chats in a larger population.
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Kim S, Yao W, Du X. Exploring older adults' adoption and use of a tablet computer during COVID-19: Longitudinal qualitative study (Preprint). JMIR Aging 2021; 5:e32957. [PMID: 35134747 PMCID: PMC8906838 DOI: 10.2196/32957] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 01/21/2022] [Accepted: 02/06/2022] [Indexed: 01/08/2023] Open
Abstract
Background As mobile computing technology evolves, such as smartphones and tablet computers, it increasingly offers features that may be particularly beneficial to older adults. However, the digital divide exists, and many older adults have been shown to have difficulty using these devices. The COVID-19 pandemic has magnified how much older adults need but are excluded from having access to technologies to meet essential daily needs and overcome physical distancing restrictions. Objective This study sought to understand how older adults who had never used a tablet computer learn to use it, what they want to use it for, and what barriers they experience as they continue to use it during social isolation caused by the COVID-19 pandemic. Methods We conducted a series of semistructured interviews with eight people aged 65 years and older for 16 weeks, investigating older novice users’ adoption and use of a tablet computer during the nationwide lockdown due to COVID-19. Results Participants were gradually yet successfully accustomed to using a tablet computer to serve various daily needs, including entertainment, social connectedness, and information-seeking. However, this success was not achieved through developing sufficient digital skills but rather by applying the methods they were already familiar with in its operation, such as taking and referring to instruction notes. Conclusions Our findings imply that older adults without digital literacy can still benefit from a digital device for quality of later life if proper traditional methods they are already familiar with are offered in its use.
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Affiliation(s)
- Sunyoung Kim
- School of Communication and Information, Rutgers University, New Brunswick, NJ, United States
| | - Willow Yao
- School of Communication and Information, Rutgers University, New Brunswick, NJ, United States
| | - Xiaotong Du
- School of Communication and Information, Rutgers University, New Brunswick, NJ, United States
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Ocagli H, Lorenzoni G, Lanera C, Schiavo A, D’Angelo L, Liberti AD, Besola L, Cibin G, Martinato M, Azzolina D, D’Onofrio A, Tarantini G, Gerosa G, Cabianca E, Gregori D. Monitoring Patients Reported Outcomes after Valve Replacement Using Wearable Devices: Insights on Feasibility and Capability Study: Feasibility Results. Int J Environ Res Public Health 2021; 18:ijerph18137171. [PMID: 34281108 PMCID: PMC8297062 DOI: 10.3390/ijerph18137171] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 06/28/2021] [Accepted: 06/29/2021] [Indexed: 01/02/2023]
Abstract
Wearable devices (WDs) can objectively assess patient-reported outcomes (PROMs) in clinical trials. In this study, the feasibility and acceptability of using commercial WDs in elderly patients undergoing transcatheter aortic valve replacement (TAVR) or surgical aortic valve replacement (SAVR) will be explored. This is a prospective observational study. Participants were trained to use a WD and a smartphone to collect data on their physical activity, rest heart rate and number of hours of sleep. Validated questionnaires were also used to evaluate these outcomes. A technology acceptance questionnaire was used at the end of the follow up. In our participants an overall good compliance in wearing the device (75.1% vs. 79.8%, SAVR vs. TAVR) was assessed. Half of the patients were willing to continue using the device. Perceived ease of use is one of the domains that scored higher in the technology acceptance questionnaire. In this study we observed that the use of a WD is accepted in our frail population for an extended period. Even though commercial WDs are not tailored for clinical research, they can produce useful information on patient behavior, especially when coordinated with intervention tailored to the single patient.
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Affiliation(s)
- Honoria Ocagli
- Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy; (H.O.); (G.L.); (C.L.); (M.M.); (D.A.)
| | - Giulia Lorenzoni
- Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy; (H.O.); (G.L.); (C.L.); (M.M.); (D.A.)
| | - Corrado Lanera
- Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy; (H.O.); (G.L.); (C.L.); (M.M.); (D.A.)
| | - Alessandro Schiavo
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padua Medical School, 35121 Padua, Italy; (A.S.); (L.D.); (A.D.L.); (G.T.)
| | - Livio D’Angelo
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padua Medical School, 35121 Padua, Italy; (A.S.); (L.D.); (A.D.L.); (G.T.)
| | - Alessandro Di Liberti
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padua Medical School, 35121 Padua, Italy; (A.S.); (L.D.); (A.D.L.); (G.T.)
| | - Laura Besola
- Saint Paul’s Hospital, University of British Columbia, Vancouver, BC V6Z 1Y6 VBC, Canada;
| | - Giorgia Cibin
- Cardiac Surgery Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy; (G.C.); (A.D.); (G.G.)
| | - Matteo Martinato
- Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy; (H.O.); (G.L.); (C.L.); (M.M.); (D.A.)
| | - Danila Azzolina
- Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy; (H.O.); (G.L.); (C.L.); (M.M.); (D.A.)
- Department of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy
| | - Augusto D’Onofrio
- Cardiac Surgery Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy; (G.C.); (A.D.); (G.G.)
| | - Giuseppe Tarantini
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padua Medical School, 35121 Padua, Italy; (A.S.); (L.D.); (A.D.L.); (G.T.)
| | - Gino Gerosa
- Cardiac Surgery Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy; (G.C.); (A.D.); (G.G.)
| | - Ester Cabianca
- Cardiology Unit, Dipartimento Strutturale Cardio-vascolare, Azienda ULSS 8 Berica, 36100 Vicenza, Italy;
| | - Dario Gregori
- Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy; (H.O.); (G.L.); (C.L.); (M.M.); (D.A.)
- Correspondence: ; Tel.: +39-049-8275384
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