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Chun M, Yu HJ, Jung H. A Deep Learning-Based Rotten Food Recognition App for Older Adults: Development and Usability Study. JMIR Form Res 2024; 8:e55342. [PMID: 38959501 PMCID: PMC11255527 DOI: 10.2196/55342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/24/2024] [Accepted: 05/30/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND Older adults are at greater risk of eating rotten fruits and of getting food poisoning because cognitive function declines as they age, making it difficult to distinguish rotten fruits. To address this problem, researchers have developed and evaluated various tools to detect rotten food items in various ways. Nevertheless, little is known about how to create an app to detect rotten food items to support older adults at a risk of health problems from eating rotten food items. OBJECTIVE This study aimed to (1) create a smartphone app that enables older adults to take a picture of food items with a camera and classifies the fruit as rotten or not rotten for older adults and (2) evaluate the usability of the app and the perceptions of older adults about the app. METHODS We developed a smartphone app that supports older adults in determining whether the 3 fruits selected for this study (apple, banana, and orange) were fresh enough to eat. We used several residual deep networks to check whether the fruit photos collected were of fresh fruit. We recruited healthy older adults aged over 65 years (n=15, 57.7%, males and n=11, 42.3%, females) as participants. We evaluated the usability of the app and the participants' perceptions about the app through surveys and interviews. We analyzed the survey responses, including an after-scenario questionnaire, as evaluation indicators of the usability of the app and collected qualitative data from the interviewees for in-depth analysis of the survey responses. RESULTS The participants were satisfied with using an app to determine whether a fruit is fresh by taking a picture of the fruit but are reluctant to use the paid version of the app. The survey results revealed that the participants tended to use the app efficiently to take pictures of fruits and determine their freshness. The qualitative data analysis on app usability and participants' perceptions about the app revealed that they found the app simple and easy to use, they had no difficulty taking pictures, and they found the app interface visually satisfactory. CONCLUSIONS This study suggests the possibility of developing an app that supports older adults in identifying rotten food items effectively and efficiently. Future work to make the app distinguish the freshness of various food items other than the 3 fruits selected still remains.
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Affiliation(s)
- Minki Chun
- Department of Computer Science and Engineering, University of Seoul, Seoul, Republic of Korea
| | - Ha-Jin Yu
- Department of Computer Science and Engineering, University of Seoul, Seoul, Republic of Korea
- Department of Artificial Intelligence, University of Seoul, Seoul, Republic of Korea
| | - Hyunggu Jung
- Department of Computer Science and Engineering, University of Seoul, Seoul, Republic of Korea
- Department of Artificial Intelligence, University of Seoul, Seoul, Republic of Korea
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Ullman AJ, Larsen E, Gibson V, Binnewies S, Ohira R, Marsh N, Mcbride C, Winterbourn K, Boyte F, Cunninghame J, Dufficy M, Plummer K, Roberts N, Takashima M, Cooke M, Byrnes J, Rickard CM, Kleidon TM. An mHealth application for chronic vascular access: A multi-method evaluation. J Clin Nurs 2024; 33:1762-1776. [PMID: 38413831 DOI: 10.1111/jocn.17034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 12/13/2023] [Accepted: 01/07/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND Healthcare consumers require diverse resources to assist their navigation of complex healthcare interactions, however, these resources need to be fit for purpose. AIM In this study, we evaluated the utility, usability and feasibility of children, families and adults requiring long-term intravenous therapy using a recently developed mobile health application (App), intravenous (IV) Passport. DESIGN Multi-site, parallel, multi-method, prospective cohort study. METHODS A multi-site, multi-method study was carried out in 2020-2021, with 46 participants (20 adults, 26 children/family) reporting on their experiences surrounding the use of the IV Passport for up to 6 months. RESULTS Overall, utility rates were acceptable, with 78.3% (N = 36) using the IV Passport over the follow-up period, with high rates of planned future use for those still active in the project (N = 21; 73%), especially in the child/family cohort (N = 13; 100%). Acceptability rates were high (9/10; IQR 6.5-10), with the IV Passport primarily used for documenting new devices and complications. Thematic analysis revealed three main themes (and multiple subthemes) in the qualitative data: Advocacy for healthcare needs, Complexity of healthcare and App design and functionality. CONCLUSION Several recommendations were made to improve the end-user experience including 'how to' instructions; and scheduling functionality for routine care. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE The IV Passport can be safely and appropriately integrated into healthcare, to support consumers. IMPACT Patient-/parent-reported feedback suggests the Intravenous Passport is a useful tool for record-keeping, and positive communication between patients/parents, and clinicians. REPORTING METHOD Not applicable. PATIENT CONTRIBUTION Consumers reported their experiences surrounding the use of the IV Passport for up to 6 months.
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Affiliation(s)
- Amanda J Ullman
- School of Nursing, Midwifery and Social Work, Health and Behavioural Sciences, The University of Queensland, St Lucia, Queensland, Australia
- Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, South Brisbane, Queensland, Australia
- School of Nursing and Midwifery, Griffith University, Nathan, Queensland, Australia
| | - Emily Larsen
- School of Nursing and Midwifery, Griffith University, Nathan, Queensland, Australia
- Nursing and Midwifery Research Centre, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
- Centre for Applied Health Economics, Griffith University, Nathan, Queensland, Australia
| | - Victoria Gibson
- School of Nursing, Midwifery and Social Work, Health and Behavioural Sciences, The University of Queensland, St Lucia, Queensland, Australia
- Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, South Brisbane, Queensland, Australia
| | - Sebastian Binnewies
- School of Information and Communication Technology, Griffith University, Gold Coast, Queensland, Australia
| | - Ryoma Ohira
- School of Information and Communication Technology, Griffith University, Gold Coast, Queensland, Australia
| | - Nicole Marsh
- School of Nursing, Midwifery and Social Work, Health and Behavioural Sciences, The University of Queensland, St Lucia, Queensland, Australia
- School of Nursing and Midwifery, Griffith University, Nathan, Queensland, Australia
- Nursing and Midwifery Research Centre, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
| | - Craig Mcbride
- Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, South Brisbane, Queensland, Australia
| | - Karen Winterbourn
- Parenteral Nutrition Down Under, Randwick, New South Wales, Australia
| | - Francesca Boyte
- Nursing and Midwifery Research Centre, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
| | - Jacqueline Cunninghame
- School of Nursing, Midwifery and Social Work, Health and Behavioural Sciences, The University of Queensland, St Lucia, Queensland, Australia
| | - Mitchell Dufficy
- School of Nursing, Midwifery and Social Work, Health and Behavioural Sciences, The University of Queensland, St Lucia, Queensland, Australia
| | - Karin Plummer
- Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, South Brisbane, Queensland, Australia
- School of Nursing and Midwifery, Griffith University, Nathan, Queensland, Australia
| | - Natasha Roberts
- School of Nursing, Midwifery and Social Work, Health and Behavioural Sciences, The University of Queensland, St Lucia, Queensland, Australia
- Metro North Health Service, Herston, Queensland, Australia
| | - Mari Takashima
- School of Nursing, Midwifery and Social Work, Health and Behavioural Sciences, The University of Queensland, St Lucia, Queensland, Australia
- Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, South Brisbane, Queensland, Australia
| | - Marie Cooke
- School of Nursing and Midwifery, Griffith University, Nathan, Queensland, Australia
| | - Joshua Byrnes
- Centre for Applied Health Economics, Griffith University, Nathan, Queensland, Australia
| | - Claire M Rickard
- School of Nursing, Midwifery and Social Work, Health and Behavioural Sciences, The University of Queensland, St Lucia, Queensland, Australia
- School of Nursing and Midwifery, Griffith University, Nathan, Queensland, Australia
- Nursing and Midwifery Research Centre, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
- Metro North Health Service, Herston, Queensland, Australia
| | - Tricia M Kleidon
- School of Nursing, Midwifery and Social Work, Health and Behavioural Sciences, The University of Queensland, St Lucia, Queensland, Australia
- Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, South Brisbane, Queensland, Australia
- School of Nursing and Midwifery, Griffith University, Nathan, Queensland, Australia
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Zou X, Na Y, Lai K, Liu G. Unpacking public resistance to health Chatbots: a parallel mediation analysis. Front Psychol 2024; 15:1276968. [PMID: 38659671 PMCID: PMC11041026 DOI: 10.3389/fpsyg.2024.1276968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Accepted: 04/01/2024] [Indexed: 04/26/2024] Open
Abstract
Introduction Despite the numerous potential benefits of health chatbots for personal health management, a substantial proportion of people oppose the use of such software applications. Building on the innovation resistance theory (IRT) and the prototype willingness model (PWM), this study investigated the functional barriers, psychological barriers, and negative prototype perception antecedents of individuals' resistance to health chatbots, as well as the rational and irrational psychological mechanisms underlying their linkages. Methods Data from 398 participants were used to construct a partial least squares structural equation model (PLS-SEM). Results Resistance intention mediated the relationship between functional barriers, psychological barriers, and resistance behavioral tendency, respectively. Furthermore, The relationship between negative prototype perceptions and resistance behavioral tendency was mediated by resistance intention and resistance willingness. Moreover, negative prototype perceptions were a more effective predictor of resistance behavioral tendency through resistance willingness than functional and psychological barriers. Discussion By investigating the role of irrational factors in health chatbot resistance, this study expands the scope of the IRT to explain the psychological mechanisms underlying individuals' resistance to health chatbots. Interventions to address people's resistance to health chatbots are discussed.
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Affiliation(s)
- Xiqian Zou
- School of Journalism and Communication, Tsinghua University, Beijing, China
| | - Yuxiang Na
- School of Journalism and Communication, Jinan University, Guangzhou, Guangdong, China
| | - Kaisheng Lai
- School of Journalism and Communication, Jinan University, Guangzhou, Guangdong, China
| | - Guan Liu
- Center for Computational Communication Studies, Jinan University, Guangzhou, Guangdong, China
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Sujarwoto S, Maharani A. Facilitators and barriers to the adoption of mHealth apps for COVID-19 contact tracing: a systematic review of the literature. Front Public Health 2023; 11:1222600. [PMID: 38145061 PMCID: PMC10740170 DOI: 10.3389/fpubh.2023.1222600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 11/20/2023] [Indexed: 12/26/2023] Open
Abstract
Background Despite the enormous potential of mobile health (mHealth) apps for COVID-19 contact tracing, the adoption rate in most countries remains low. Thus, the objective of the current study is to identify facilitators and barriers of mHealth apps adoption for COVID-19 contact tracing based on existing studies. Methods We conducted a systematic review of mHealth studies before December 2021 that evaluate facilitators and barriers associated with the adoption of mHealth apps for COVID-19 contact tracing. We assessed the risk of bias for all included studies using the Cochrane tool. We based our narrative synthesis on the facilitators-barriers to the adoption of mHealth framework comprising seven key factors. Results A total of 27 articles were reviewed from 16 countries representing high income countries (France, German, Italy, United Kingdom, United States, Australia, Singapore, Belgium, Republic Ireland, Netherland, Poland, and Japan), middle-income countries (Fiji), and low-middle income countries (India). We identified the main facilitators of mHealth adoption: perceived risks to COVID-19, trust, perceived benefit, social norm, and technology readiness. The main barriers of mHealth adoption were data privacy/security concerns. Among sociodemographic factors, females, lower education, lower-income, and older individual are barriers to adoption in low-middle income countries, while most of those factors were not significantly associated with adoption in a high-income country. Conclusion The findings imply that resolving data privacy/security issues while developing trust, perceived benefits, social norms, and technology preparedness could be effective strategies for increasing adoption intentions and app use among the general public. In low-middle-income countries, addressing digital divide is critical to the app's adoption.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=249500, identifier RD42021249500 (PROSPERO).
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Affiliation(s)
- Sujarwoto Sujarwoto
- Portsmouth Brawijaya Center for Global Health, Population and Policy and Department of Public Administration, Universitas Brawijaya, Malang, Indonesia
| | - Asri Maharani
- Division of Nursing, Midwifery and Social Work, University of Manchester, Manchester, United Kingdom
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Zhang M, Zhang H, Zhu R, Yang H, Chen M, Wang X, Li Z, Xiong Z. Factors affecting the willingness of patients with type 2 diabetes to use digital disease management applications: a cross-sectional study. Front Public Health 2023; 11:1259158. [PMID: 37937072 PMCID: PMC10626484 DOI: 10.3389/fpubh.2023.1259158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 09/29/2023] [Indexed: 11/09/2023] Open
Abstract
Background The global burden of type 2 diabetes has significantly increased, leading to a considerable impact on healthcare systems worldwide. While the advent of mobile healthcare has provided some relief by addressing the shortage of certain medical resources, its adoption among the Chinese population remains relatively low. To extend the benefits of mHealth to a greater number of Chinese diabetic patients, it is essential to investigate the factors that influence their willingness to utilize it and implement targeted interventions based on these influencing factors. The Technology Acceptance Model (TAM) is widely employed to examine users' ultimate usage behaviors, and previous studies have indicated the potential relevance of the Perceived Risk (PR) theory and the eHealth Literacy Theory to users' usage behaviors. Objective Our objective was to investigate the determinants that affect the willingness of Chinese patients diagnosed with type 2 diabetes patients to utilize digital disease management applications (DDMAs). Methods We conducted a cross-sectional study of patients with type 2 diabetes in three tertiary general hospitals in Chengdu using questionnaires designed by the investigators. Participants were sampled using a convenience sampling method. The questionnaire comprised three sections: socio-demographic profile and medical history; current awareness and willingness to use digital disease management applications; and the current level of e-health literacy. Structural equation modeling was employed to assess the impact of patient awareness of DDMAs and e-health literacy on the willingness to use such DDMAs. Results (1) Patients' attitudes toward using DDMAs were significantly influenced by perceived ease of use (β = 0.380, P < 0.001) and perceived usefulness (β = 0.546, P < 0.001); (2) Electronic health literacy exerted a significant impact on patients' perceived usefulness (β = 0.115, P = 0.018) and perceived ease of use (β = 0.659, P < 0.001); (3) Patients' willingness to use was significantly influenced by perceived usefulness (β = 0.137, P < 0.001) and use attitude (β = 0.825, P < 0.001). Conclusions The present research findings hold both theoretical and practical significance, and can serve as a guide for healthcare practitioners and researchers to gain a deeper comprehension of the acceptance of digital disease management applications (DDMAs) among type 2 diabetes patients.
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Affiliation(s)
- Mingjiao Zhang
- School of Nursing, Chengdu Medical College, Chengdu, Sichuan, China
- West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hao Zhang
- West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Rong Zhu
- The 3rd Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital, Chengdu, Sichuan, China
| | - Huiqi Yang
- Nanbu Country People's Hospital, Nanchong, Sichuan, China
| | - Mengjie Chen
- School of Nursing, Chengdu Medical College, Chengdu, Sichuan, China
| | - Xiaoxia Wang
- School of Nursing, Chengdu Medical College, Chengdu, Sichuan, China
| | - Zhe Li
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, Sichuan, China
| | - Zhenzhen Xiong
- School of Nursing, Chengdu Medical College, Chengdu, Sichuan, China
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Li ZG, Ge JJ, Zhang C, Peng XQ, Wu QF, You H. Information-Motivation-Behavioral Skills Model Supplemented With the Moderated-Mediation Path: A Framework for Interpreting Patients' Online Medical Services Utilization. Am J Health Promot 2023; 37:924-932. [PMID: 37385229 DOI: 10.1177/08901171231186313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/01/2023]
Abstract
PURPOSE This study aimed to explore the internal determinants affecting patients' utilization of online medical services (OMS) based on the information-motivation-behavioral skills model from a behavioral perspective. DESIGN A cross-sectional study. SETTING This study was conducted in three medical institutions in Jiangsu Province, China. SUBJECTS 470 internet users were enrolled from patients who came to the outpatient clinics. MEASURES A self-administered questionnaire with feasible reliability and validity was used to investigate the demographic characteristics and OMS utilization-related information, motivation, behavioral skills, intention, and behavior. ANALYSIS According to the constructed framework, structural equation modeling was used to test the relationships between those factors and OMS utilization behaviors. RESULTS All direct paths are established except the path between information and intention. Information and motivation positively affected OMS utilization behavior through behavioral skills and intention (P < .001). Motivation and behavioral skills could positively influence OMS utilization behavior through intention (P < .01). Motivation was found to be the largest predictor of OMS utilization behavior. Moreover, gender played a moderating role in the interpretation of the behavior. CONCLUSIONS Interventions should be conducted regarding information, motivation, and behavioral skills to promote patients' use of OMS. At the same time, the impact of gender on intervention effectiveness should also be considered.
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Affiliation(s)
- Zhi-Guang Li
- The First Affiliated Hospital with Nanjing Medical University, China
| | - Jin-Jin Ge
- School of Public Health, Nanjing Medical University, China
| | - Chi Zhang
- Xiangya School of Nursing, Central South University, China
| | - Xue-Qing Peng
- Chengdu Center for Disease Control and Prevention, China
| | - Qi-Feng Wu
- School of Public Health, Nanjing Medical University, China
| | - Hua You
- School of Public Health, Nanjing Medical University, China
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van Elburg FRT, van de Klundert J, Nieboer AP, Askari M. The intention to use mHealth applications among Dutch older adults prior and during the COVID pandemic. Front Public Health 2023; 11:1130570. [PMID: 37383259 PMCID: PMC10298165 DOI: 10.3389/fpubh.2023.1130570] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 05/05/2023] [Indexed: 06/30/2023] Open
Abstract
Background Mobile health (mHealth) applications are widely valued for their potential to increase self-management among older adults and reduce their healthcare demands. However, the intention to use mHealth of Dutch older adults before the COVID-19 pandemic was modest. Healthcare access was considerably reduced during the pandemic and mHealth services substituted for in person health services. As older adults utilize health services more frequently and have been particularly vulnerable to the pandemic, they can be viewed to have especially benefitted from the transition toward mHealth services. Furthermore, one might expect their intention to use these services and reap the potential benefits has increased, especially during the pandemic. Objective The aim of this study was to examine whether the intention of Dutch older adults to use medical applications increased during the COVID pandemic and how the explanatory power of the extended Technology Acceptance Model (TAM) developed for this purpose was affected by the onset of the pandemic. Methods We conducted a cross-sectional survey using two samples collected before (n = 315) and after (n = 501) the onset of the pandemic. Data was collected using questionnaires which were distributed digitally and on paper, by convenience sampling and snowballing. Participants were 65 years or older, lived independently or in a senior living facility, without cognitive impairment. A controlled analysis was performed to test for significant differences in the intention to use mHealth. The before and after differences in extended TAM variables and their relationship with intention to use (ITU) were analyzed using controlled (multivariate) logistic and linear regression models. These models were also used to explore whether the onset of the pandemic had an effect on ITU not captured by the extended TAM model. Results While the two samples differed in ITU (p = 0.017; uncontrolled) there was no statistically significant difference in ITU in the controlled logistic regression analysis (p = 0.107). The scores of the extended TAM variables explaining intention to use were all significantly higher, except for Subjective norm and Feelings of Anxiety. The relationships of these variables with intention to use before and after the onset of the pandemic were similar, except for Social relationships which lost its significance. We found no indications of effects of the pandemic on intention to use not captured by our instrument. Conclusion The intention to use mHealth applications of Dutch older adults has not changed since the onset of the pandemic. The extended TAM model has robustly explained intention to use, with only minor differences after the first months of the pandemic. Interventions targeting facilitation and support are likely to promote the uptake of mHealth. Follow-up studies are needed to investigate whether the pandemic has had long term effects on the ITU of the older adult.
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Affiliation(s)
| | | | - Anna Petra Nieboer
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, Netherlands
| | - Marjan Askari
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, Netherlands
- Rotterdam School of Management, Erasmus University, Rotterdam, Netherlands
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Schroeder T, Dodds L, Georgiou A, Gewald H, Siette J. Older Adults and New Technology: Mapping Review of the Factors Associated With Older Adults' Intention to Adopt Digital Technologies. JMIR Aging 2023; 6:e44564. [PMID: 37191976 DOI: 10.2196/44564] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 01/19/2023] [Accepted: 03/18/2023] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND Ongoing advancements in digital solutions support older adults' healthy aging and well-being. However, a unified synthesis of sociodemographic, cognitive, attitudinal, emotional, and environmental factors that influence older adults' intention to use these new digital technologies is still lacking. Understanding the salient factors that influence older adults' intention to use digital technologies will help to ensure that technology is developed appropriately and contextually. This understanding is also likely to contribute to developing technology acceptance models specifically for the aging generation, by reorganizing principles and constructing objectivity criteria for future research studies. OBJECTIVE This review aims to identify the key factors associated with older adults' intention to use digital technologies and to provide a comprehensive conceptual framework to describe the relationships between these key factors and older adults' intention to use digital technologies. METHODS A mapping review was conducted using 9 databases from inception to November 2022. Articles were selected for review if they had an evaluative component of older adults' intention to use digital technologies. Three researchers independently reviewed the articles and extracted the data. Data synthesis was performed via narrative review and quality appraisal was measured using 3 different tools based on each article's study design. RESULTS We identified a total of 59 articles investigating older adults' intention to use digital technologies. The majority (40/59, 68%) of articles did not use an existing framework or model for technology acceptance. Studies mostly adopted a quantitative research design (27/59, 46%). We found 119 unique factors reported to influence older adults' intention to use digital technologies. These were categorized into 6 distinct themes: Demographics and Health Status, Emotional Awareness and Needs, Knowledge and Perception, Motivation, Social Influencers, and Technology Functional Features. CONCLUSIONS Given the importance of global demographic change toward an aging society, there is surprisingly limited research on the factors that influence older adults' intention to use digital technologies. Our identification of the key factors across different types of digital technology and models supports the future integration of a comprehensive perspective encompassing environmental, psychological, and social determinants for older adults' intention to use digital technologies.
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Affiliation(s)
- Tanja Schroeder
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Macquarie Park, Australia
- Centre for Research on Service Sciences (CROSS), Neu-Ulm University, Neu-Ulm, Germany
| | - Laura Dodds
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Westmead, Australia
| | - Andrew Georgiou
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Macquarie Park, Australia
| | - Heiko Gewald
- Centre for Research on Service Sciences (CROSS), Neu-Ulm University, Neu-Ulm, Germany
| | - Joyce Siette
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Macquarie Park, Australia
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Westmead, Australia
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Wang X, Lee CF, Jiang J, Zhang G, Wei Z. Research on the Factors Affecting the Adoption of Smart Aged-Care Products by the Aged in China: Extension Based on UTAUT Model. Behav Sci (Basel) 2023; 13:bs13030277. [PMID: 36975302 PMCID: PMC10044887 DOI: 10.3390/bs13030277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/16/2023] [Accepted: 03/17/2023] [Indexed: 03/29/2023] Open
Abstract
With the rapid development of network technology and smart technology, smart aged-care products are becoming increasingly valued for their ability to help the aged actively cope with the challenges of aging. However, seniors face challenges in using smart aged-care products for many reasons, which reduces their willingness to adopt them. As a result, the sustainable development of smart aged-care products is constrained. This study combined the unified theory of technology acceptance and use, perceived risk theory and perceived cost theory, and reconstructed a research model that investigated the adoption of smart aged-care products by the elderly in China. Questionnaires were given to older Chinese adults in this study, and 386 valuable responses were received. The findings of the structural equation model (SEM) analysis are as follows: (1) performance expectancy, effort expectancy, and social influence were positively related to the behavioral intention of seniors to use smart aged-care products; (2) perceived cost and perceived risk were negatively related to the behavioral intention of seniors to use smart aged-care products; (3) perceived risk indirectly affected use behavior through behavioral intentions; (4) facilitating conditions did not have a significant impact on the use behavior of seniors in adopting smart aged-care products. Based on the empirical results, this study sought to improve the use behavior of the aged in relation to the adoption of smart aged-care products, and provided suggestions to improve the overall service quality and sustainability of those products.
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Affiliation(s)
- Xiang Wang
- Graduate School of Design, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan
- Pujiang Institute, Nanjing Tech University, Nanjing 211200, China
| | - Chang-Franw Lee
- Graduate School of Design, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan
| | - Jiabei Jiang
- The Future Laboratory, Tsinghua University, Beijing 100000, China
| | - Genlei Zhang
- Pujiang Institute, Nanjing Tech University, Nanjing 211200, China
| | - Zhong Wei
- Faculty of Social Sciences and Liberal Arts, UCSI University, Kuala Lumpur 56000, Malaysia
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Liu JYW, Sorwar G, Rahman MS, Hoque MR. The role of trust and habit in the adoption of mHealth by older adults in Hong Kong: a healthcare technology service acceptance (HTSA) model. BMC Geriatr 2023; 23:73. [PMID: 36737712 PMCID: PMC9898708 DOI: 10.1186/s12877-023-03779-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 01/30/2023] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Evidence from the literature suggests that mobile health (mHealth) services can potentially improve healthcare outcomes among older adults. Hence, the government of Hong Kong has recently taken several community and information technology (IT) services initiatives to train older adults on how to enhance their abilities and interest in using mHealth technology. Although mHealth services have been widely implemented globally, their adoption and use by older adults are very low, including those in Hong Kong. This study aims to understand key factors influencing mHealth use intention among the older Chinese population in Hong Kong. METHODS We extended the Unified Theory of Acceptance and Use of Technology (UTAUT2) as the basis of our conceptual framework. We applied Partial Least Squares path modeling method to conduct the Structural Equation Model (SEM) technique that allows measuring the theoretical validity of any conceptual framework. Convenience and snowball sampling methods were used to recruit participants aged 65 or above. In total, 201 valid responses were used for testing the theoretical validity of the proposed conceptual framework. RESULTS The primary finding shows that the widely used UTAUT2 model falls short in explaining mHealth service acceptance behavior in the Chinese older population in Hong Kong. We further propose a simplified model, the Healthcare Technology Service Acceptance (HTSA) model, to understand the formation of mHealth service acceptance behavior. The findings show that trust is an important component of technology service acceptance intention behavior that was missing in the UTAUT2 model. The results also show that several antecedent factors (i.e., social influence, government policy, and service quality) are critical in forming technology trust beliefs. CONCLUSIONS The study shows that the HTSA model can better explain mHealth acceptance behavior than the UTAUT2 model. This study advances knowledge in the mHealth technology adoption domain by proposing a simplified new version of the UTAUT2 model for understanding healthcare technology service acceptance and use intention among older adults. The findings of the study provide valuable information to the Hong Kong government and healthcare organizations for wider adoption of mHealth services, especially in older adults.
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Affiliation(s)
- Justina Yat Wa Liu
- grid.16890.360000 0004 1764 6123School of Nursing, The Hong Kong Polytechnic University, Hong Kong, 999077 China ,grid.16890.360000 0004 1764 6123Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong, 999077 China
| | - Golam Sorwar
- Faculty of Science and Engineering, Southern Cross University, Gold Coast, QLD, 4225, Australia.
| | - Mohammed Sajedur Rahman
- grid.255525.00000 0001 0722 577XSchool of Business, Emporia State University, Emporia, KS 66801 USA
| | - Md Rakibul Hoque
- grid.8198.80000 0001 1498 6059Department of Management Information Systems, University of Dhaka, Dhaka, 1000 Bangladesh
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11
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Wang X, Lee CF, Jiang J, Zhu X. Factors Influencing the Aged in the Use of Mobile Healthcare Applications: An Empirical Study in China. Healthcare (Basel) 2023; 11:healthcare11030396. [PMID: 36766970 PMCID: PMC9914473 DOI: 10.3390/healthcare11030396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 01/26/2023] [Accepted: 01/29/2023] [Indexed: 01/31/2023] Open
Abstract
Mobile healthcare applications are of significant potential value in the development of the aged-care industry due to their great convenience, high efficiency, and low cost. Since the cognition and utilization rates of mobile healthcare applications for the elderly are still low, this study explored the factors that affect the elderly's adoption of mobile healthcare applications. This study conducted a questionnaire survey on the elderly in China and received 365 valuable responses. This study combined the technology acceptance model, protection motivation theory, and perceived risk theory to build a research model of factors affecting the use of mobile healthcare applications by the elderly. The data were analyzed using a structural equation model. The results were as follows: according to the empirical research, (1) perceived usefulness and perceived ease of use positively affect the use attitude of the elderly; perceived usefulness and user attitude positively affect the behavior intention of the elderly; perceived ease of use positively affects perceived usefulness; (2) perceived severity has a significant positive correlation with use attitude; perceived susceptibility and attitude to use have no significant impact; (3) perceived risk is negatively correlated with the use attitude and behavioral intention. The above-mentioned factors should be taken into consideration during the development of mobile healthcare applications for the aged to upgrade the overall service quality of mobile healthcare applications, thus enhancing the operational level of mobile healthcare applications and the health literacy of the aged.
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Affiliation(s)
- Xiang Wang
- Graduate School of Design, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan
- Pujiang Institute, Nanjing Tech University, Nanjing 211200, China
- Correspondence:
| | - Chang-Franw Lee
- Graduate School of Design, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan
| | - Jiabei Jiang
- The Future Laboratory, Tsinghua University, Beijing 100080, China
| | - Xiaoyang Zhu
- School of Arts and Design, Sanming University, Sanming 365004, China
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12
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Tu R, Park SK, Ding Y. Travel intentions of travelers in the COVID-19 context: The moderation of fear of COVID-19. Front Psychol 2023; 14:1136465. [PMID: 36935964 PMCID: PMC10017471 DOI: 10.3389/fpsyg.2023.1136465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 02/08/2023] [Indexed: 03/06/2023] Open
Abstract
Introduction The spread of COVID-19 pandemic in early 2020 has significantly affected the tourism industry. Most current tourism research on emergencies focuses on issues such as the revitalization of the tourism economy. However, research on aspects such as visitor perception has not received sufficient attention, This study contributes to the literature by analyzing the effects of social interactions, multidimensional perceived value, fear of COVID-19, and age on travelers' travel intentions during the COVID-19 pandemic. Method This study constructs a structural equation model, formulates the corresponding hypotheses, investigates Chinese travelers, and verifies the moderating effect of COVID-19 fear. Results All of the proposed hypotheses were verified. The three dimensions of perceived value and satisfaction had a significant mediating effect in the relationship between perceived quality and travel intention, and that fear of COVID-19 had a significant moderating effect in the relationship between satisfaction and travel intention. With the moderation of fear of COVID-19, age had a significantly negative effect on travel intention. Discussion Given extant research demonstrating that both math activities and math talk predict children's math skills, our results stress the need for multimethod studies that differentiate among these HME opportunitiesThe findings confirmed a significant mediating effect of the three dimensions of perceived value and satisfaction on perceived quality and travel intention. fear of COVID-19 had a significant moderating effect on satisfaction and travel intention. In addition, age had a significant negative effect on travel intention under the moderation of fear of COVID-19; thus, travel intention decreases with age.
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13
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Wu Y, Wen J, Wang X, Wang Q, Wang W, Wang X, Xie J, Cong L. Associations between e-health literacy and chronic disease self-management in older Chinese patients with chronic non-communicable diseases: a mediation analysis. BMC Public Health 2022; 22:2226. [PMID: 36447176 PMCID: PMC9710041 DOI: 10.1186/s12889-022-14695-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Accepted: 11/22/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Chronic non-communicable diseases (CNCDs) are an urgent public health issue in China, especially among older adults. Hence, self-management is crucial for disease progression and treatment. Electronic health (e-health) literacy and self-efficacy positively correlate with self-management. However, we know little about their underlying mechanisms in older adults with CNCDs. OBJECTIVE To explore the factors that influence chronic disease self-management (CDSM) and verify self-efficacy as the mediator between e-health literacy and self-management behavior in older patients with CNCDs. METHODS This cross-sectional study included 289 older patients with CNCDs from Hunan province, China, between July and November 2021. E-health literacy, self-efficacy, social support, and CDSM data were collected through questionnaires. The influence of each factor on CDSM was explored with multiple linear regression analysis. Intermediary effects were computed via a structural equation model. RESULTS The total CDSM score in the patients was 29.39 ± 9.60 and only 46 (15.92%) patients used smart healthcare devices. The regression analysis showed e-health literacy, self-efficacy, and social support were the factors that affected CDSM. Furthermore, the structural equation model revealed that self-efficacy directly affected CDSM (β = 0.45, P < 0.01), whereas e-health literacy affected it directly (β = 0.42, P < 0.01) and indirectly (β = 0.429, P < 0.01) through self-efficacy. CONCLUSIONS This study revealed that self-management among older patients with CNCDs is at a low level, and few of them use smart healthcare devices. Self-efficacy plays a partial intermediary role between e-health literacy and self-management in older patients with CNCDs. Thus, efforts to improve their CDSM by targeting e-health literacy may be more effective when considering self-efficacy.
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Affiliation(s)
- Ying Wu
- grid.411427.50000 0001 0089 3695School of Medicine, Hunan Normal University, Changsha, 410013 People’s Republic of China
| | - Jing Wen
- grid.411427.50000 0001 0089 3695School of Medicine, Hunan Normal University, Changsha, 410013 People’s Republic of China
| | - Xiaohui Wang
- grid.411427.50000 0001 0089 3695School of Medicine, Hunan Normal University, Changsha, 410013 People’s Republic of China
| | - Qingyao Wang
- grid.411427.50000 0001 0089 3695School of Medicine, Hunan Normal University, Changsha, 410013 People’s Republic of China
| | - Wen Wang
- grid.216417.70000 0001 0379 7164Xiangya Hospital, Central South University, Changsha, 41008 People’s Republic of China
| | - Xiangjia Wang
- grid.411427.50000 0001 0089 3695School of Medicine, Hunan Normal University, Changsha, 410013 People’s Republic of China
| | - Jiang Xie
- grid.411427.50000 0001 0089 3695School of Medicine, Hunan Normal University, Changsha, 410013 People’s Republic of China
| | - Li Cong
- grid.411427.50000 0001 0089 3695School of Medicine, Hunan Normal University, Changsha, 410013 People’s Republic of China
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14
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Marshall-McKenna R, Kotronoulas G, Kokoroskos E, Granados AG, Papachristou P, Papachristou N, Collantes G, Petridis G, Billis A, Bamidis PD. A multinational investigation of healthcare needs, preferences, and expectations in supportive cancer care: co-creating the LifeChamps digital platform. J Cancer Surviv 2022:10.1007/s11764-022-01289-7. [DOI: 10.1007/s11764-022-01289-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 10/25/2022] [Indexed: 11/13/2022]
Abstract
Abstract
Purpose
This study is to evaluate healthcare needs, preferences, and expectations in supportive cancer care as perceived by cancer survivors, family caregivers, and healthcare professionals.
Methods
Key stakeholders consisted of cancer survivors diagnosed with breast cancer, prostate cancer, or melanoma; adult family caregivers; and healthcare professionals involved in oncology. Recruitment was via several routes, and data were collected via either online surveys or telephone interviews in Greece, Spain, Sweden, and the UK. Framework analysis was applied to the dataset.
Results
One hundred and fifty-five stakeholders participated: 70 cancer survivors, 23 family caregivers, and 62 healthcare professionals (13 clinical roles). Cancer survivors and family caregivers’ needs included information and support on practical/daily living, as frustration was apparent with the lack of follow-up services. Healthcare professionals agreed on a multidisciplinary health service with a “focus on the patient” and availability closer to home. Most healthcare professionals acknowledged that patient-reported outcomes may provide “better individualised care”. Cancer survivors and family caregivers generally felt that the digital platform would be useful for timely personalised support and aided communication. Healthcare professionals were supportive of the “proactive” functionality of the platform and the expected advantages. Anticipated challenges were integration obstacles such as workload/infrastructure and training/support in using the new technology.
Conclusions
Obtaining key stakeholders’ insights provided a foundation for action to further co-create the LifeChamps digital platform to meet needs and priorities and deliver enhanced supportive care to “older” cancer survivors.
Implications for cancer survivors
Co-creation provided insight into gaps where digital support may enhance health and well-being.
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15
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van Elburg FRT, Klaver NS, Nieboer AP, Askari M. Gender differences regarding intention to use mHealth applications in the Dutch elderly population: a cross-sectional study. BMC Geriatr 2022; 22:449. [PMID: 35610577 PMCID: PMC9128125 DOI: 10.1186/s12877-022-03130-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 05/10/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND In light of the increasing demands in health care, a call has been made for the development of new strategies. One of these strategies is placing a higher emphasis on individuals, who are expected to better manage their own health and illness. mHealth applications could increase this self-management behaviour among older adults. However, it is crucial to know the intention to use mHealth of older adults before implementing these services. Even less is known regarding differences between genders on factors influencing this intention to use mHealth applications. OBJECTIVE The aim of this study was to study the gender differences regarding the relationship between technology acceptance factors and the intention to use mHealth applications in the Dutch elderly population. METHODS We conducted a quantitative cross-sectional study using questionnaires. The participants were 65 years or older, lived independently or in a senior living facility, without cognitive impairment. Logistic regression with interaction terms was done to determine gender differences in the relationship between the intention to use mHealth applications and technology acceptance factors. RESULTS While we found that half of the studied population had intention to use medical applications (50.3%) a notable difference was observed within gender groups which showed more men had intention to use medical applications rather than women (59.4% vs. 43.4% respectively). Adjusted logistic regression analysis per factor on the male and female part of the study population respectively showed that the factors Perceived usefulness (OR 21,69 and 2,39, resp.), Perceived ease of use (OR 7,21 and 2,74), Attitude toward use (OR 24,61 and 4,94), Sense of control (OR 4,12 and 2,67), Personal innovativeness (OR 2,54 and 1,58), Self-perceived effectiveness (OR 3,21 and 2,34), Service availability (OR 4,38 and 2,51) and Facilitating circumstances (OR 3,04 and 2,18) had a statistically significant influence on intention to use in both models. Logistic regression with interaction terms showed that two of the technology acceptance factors differed statistically significant in their relationship with intention to use when comparing females to males, namely Perceived usefulness (OR 0,11) and Attitude toward use (OR 0.24). Both factors were more strongly associated with intention to use for men compared to women. CONCLUSION Policymakers and interventions aiming to stimulate the uptake of mHealth applications should acknowledge gender differences. Interventions based on improving the Perceived usefulness and Attitude toward use among female users could be a means to stimulate the full potential of medical applications and improve the uptake.
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Affiliation(s)
| | - Nicky Sabine Klaver
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam, 3000 DR Rotterdam, P.O. Box 1738, Rotterdam, The Netherlands
| | - Anna Petra Nieboer
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam, 3000 DR Rotterdam, P.O. Box 1738, Rotterdam, The Netherlands
| | - Marjan Askari
- Rotterdam School of Management, Erasmus University, Rotterdam, The Netherlands. .,Erasmus School of Health Policy & Management, Erasmus University Rotterdam, 3000 DR Rotterdam, P.O. Box 1738, Rotterdam, The Netherlands.
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16
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Ge F, Qian H, Lei J, Ni Y, Li Q, Wang S, Ding K. Experiences and Challenges of Emerging Online Health Services Combating COVID-19 in China: A Retrospective, Cross-sectional Study of Internet Hospitals. JMIR Med Inform 2022; 10:e37042. [PMID: 35500013 PMCID: PMC9162135 DOI: 10.2196/37042] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 03/21/2022] [Accepted: 04/28/2022] [Indexed: 01/17/2023] Open
Abstract
Background Internet-based online virtual health services were originally an important way for the Chinese government to resolve unmet medical service needs due to inadequate medical institutions. Its initial development was not well received. Then, the unexpected COVID-19 pandemic produced a tremendous demand for telehealth in a short time, which stimulated the explosive development of internet hospitals. The Second Affiliated Hospital of Zhejiang University (SAHZU) has taken a leading role in the construction of internet hospitals in China. The pandemic triggered the hospital to develop unique research on health service capacity under strict quarantine policies and to predict long-term trends. Objective This study aims to provide policy enlightenment for the construction of internet-based health services to better fight against COVID-19 and to elucidate future directions through an in-depth analysis of 2 years of online health service data gleaned from SAHZU’s experiences and lessons learned. Methods We collected data from SAHZU Internet Hospital from November 1, 2019, to September 16, 2021. Data from over 900,000 users were analyzed with respect to demographic characteristics, demands placed on departments by user needs, new registrations, and consultation behaviors. Interrupted time series (ITS) analysis was adopted to evaluate the impact of this momentous emergency event and its long-term trends. With theme analysis and a defined 2D model, 3 investigations were conducted synchronously to determine users’ authentic demands on online hospitals. Results The general profile of internet hospital users is young or middle-aged women who live in Zhejiang and surrounding provinces. The ITS model indicated that, after the intervention (the strict quarantine policies) was implemented during the outbreak, the number of internet hospital users significantly increased (β_2=105.736, P<.001). Further, long-term waves of COVID-19 led to an increasing number of users following the outbreak (β_3=0.167, P<.001). In theme analysis, we summarized 8 major demands by users of the SAHZU internet hospital during the national shutdown period and afterwards. Online consultations and information services were persistent and universal demands, followed by concerns about medical safety and quality, time, and cost. Users’ medical behavior patterns changed from onsite to online as internet hospital demands increased. Conclusions The pandemic has spawned the explosive growth of telehealth; as a public tertiary internet hospital, the SAHZU internet hospital is partially and irreversibly integrated into the traditional medical system. As we shared the practical examples of 1 public internet hospital in China, we put forward suggestions about the future direction of telehealth. Vital experience in the construction of internet hospitals was provided in the normalization of COVID-19 prevention and control, which can be demonstrated as a model of internet hospital management practice for other medical institutions.
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Affiliation(s)
- Fangmin Ge
- The Second Affiliated Hospital, School of Medicine, Zhejiang University, 88 Jiefang Road, Hangzhou, CN
| | - Huan Qian
- The Second Affiliated Hospital, School of Medicine, Zhejiang University, 88 Jiefang Road, Hangzhou, CN
| | - Jianbo Lei
- Center for Medical Informatics, Health Science Center, Peking University, Beijing, CN
| | - Yiqi Ni
- The Second Affiliated Hospital, School of Medicine, Zhejiang University, 88 Jiefang Road, Hangzhou, CN
| | - Qian Li
- The Second Affiliated Hospital, School of Medicine, Zhejiang University, 88 Jiefang Road, Hangzhou, CN
| | - Song Wang
- School of Management, Zhejiang University, Hangzhou, CN
| | - Kefeng Ding
- The Second Affiliated Hospital, School of Medicine, Zhejiang University, 88 Jiefang Road, Hangzhou, CN
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ALsharif AH. Attitudes of Patients with Chronic Diseases toward Management eHealth Applications Systems in Post-COVID-19 Times. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19074289. [PMID: 35409971 PMCID: PMC8998994 DOI: 10.3390/ijerph19074289] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 03/28/2022] [Accepted: 03/31/2022] [Indexed: 12/10/2022]
Abstract
Introduction: There has been an increase in the adoption of eHealth technologies and applications by health consumers globally because of the restrictions imposed due to the COVID-19 pandemic in the last two years. The sudden change in the users’ attitudes toward eHealth adoption needs to be critically evaluated and understood, as it can be the stepping stone toward rapid digitalization of healthcare operations in Saudi Arabia as a part of Vision 2030. Purpose: The purpose of this study was to evaluate the attitudes of the patients with chronic diseases toward eHealth applications in post-COVID times. Methods: A cross-sectional study design was adopted using the online questionnaire as a data collection instrument. All the health consumers using eHealth services aged above 18 years and living in Saudi Arabia were included in the survey. The survey was conducted for 3 weeks, resulting in a final sample of 234 participants. Results: Overall, 73.8% of the participants stated that they adopted eHealth only out of necessity, while 37.3% stated that they adopted it because no other services were available. Only 10.3% stated that they adopted eHealth out of interest. In relation to the future use of eHealth, 51.5% of the participants stated that they would definitely not use eHealth applications, and 33.6% stated that they would probably them once the pandemic ends. Only 4.4% of the participants stated that they would very much probably, and 10.5% stated they would probably not use eHealth applications once the pandemic ends. a significant difference in opinions in relation to the future adoption of eHealth applications was observed among the male and female participants, and also between the age groups of younger (age <35 years) and older (age ≥35 years) participants. Conclusions: For the change in attitudes (increased adoption of eHealth) to be sustained, policymakers need to develop relevant strategies promoting the use of eHealth in Saudi Arabia.
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Affiliation(s)
- Abdullah H ALsharif
- Department of Management Information Systems, College of Business Administration-Yanbu, Taibah University, Medina 42353, Saudi Arabia
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18
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Wong AKC, Wong FKY, Bayuo J, Chow KKS, Wong SM, Lee AYL. A randomized controlled trial of an mHealth application with nursing interaction to promote quality of life among community-dwelling older adults. Front Psychiatry 2022; 13:978416. [PMID: 36329920 PMCID: PMC9623156 DOI: 10.3389/fpsyt.2022.978416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 09/21/2022] [Indexed: 11/13/2022] Open
Abstract
SIGNIFICANCE Using mHealth apps alone at home without the support of healthcare experts could mean that older adults might not fully utilize the functions of the apps, recognize their benefits, and sustain their use. Incorporating an integrated health-social partnership model to support the app usage when further help is needed by the older adults might maximize the apps' benefits in the long term. OBJECTIVES This study aimed to examine the benefits of adding nursing interaction supported by a health-social partnership model in the use of mHealth, and the sustained beneficial effects on psychological outcomes, including quality of life, self-efficacy, and depression, among older adults after the completion of the program. METHODS A three-arm, randomized controlled trial design was adopted. Community-dwelling older adults with chronic pain, hypertension, or diabetes, were randomly assigned to either the mHealth, mHealth with interactivity, or control group. Subjects in both the mHealth and the mHealth with interactivity groups received the mHealth application. In addition, the mHealth with interactivity group received support from a nurse case manager, who was supported by a health-social partnership team. mHealth apps and services from a nurse case manager were not provided to the control group. The primary outcome measure was quality of life, and secondary outcomes were self-efficacy and depression. Data were collected at pre-intervention (T1), post-intervention (T2), and at 3 months post-intervention to measure the sustained effect of the program. RESULTS There were 74 mHealth+I, 71 mHealth, and 76 control group subjects enrolled in the program. No statistically significant between-group, within-group, and interaction effects between group and time in both physical component summary (PCS) and mental component summary (MCS) scores were found among the three groups. The mHealth group showed an improvement in PCS and depression scores from T1 to T2, sustained at T3; while the mHealth+I group demonstrated improved self-efficacy from T1 to T2, with a decrease at T3. CONCLUSION Adding nurse-directed telephone calls may be of little to no benefit at all in the long term. Future studies may consider a longer intervention period to build and sustain quality of life and self-efficacy levels among community-dwelling older adults. CLINICAL TRIAL REGISTRATION www.ClinicalTrials.gov, identifier: NCT03878212.
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Affiliation(s)
| | - Frances Kam Yuet Wong
- School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Jonathan Bayuo
- School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | | | - Siu Man Wong
- The Hong Kong Lutheran Social Service, Ho Man Tin, Hong Kong SAR, China
| | - Athena Yin Lam Lee
- School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
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19
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Pan J, Dong H, Bryan-Kinns N. Perception and Initial Adoption of Mobile Health Services of Older Adults in London: Mixed Methods Investigation. JMIR Aging 2021; 4:e30420. [PMID: 34807836 PMCID: PMC8663706 DOI: 10.2196/30420] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Revised: 09/06/2021] [Accepted: 09/14/2021] [Indexed: 01/22/2023] Open
Abstract
Background Advances in mobile technology and public needs have resulted in the emergence of mobile health (mHealth) services. Despite the potential benefits of mHealth apps, older adults face challenges and barriers in adopting them. Objective The aims of this study are to understand older adults’ perception of mHealth services and to discover the barriers that older adults face in the initial adoption of mHealth apps. Methods This paper systematically analyzed main determinants related to mHealth services and investigated them through questionnaires, interviews, and a workshop. Two studies were carried out in London. In study 1, the questionnaires with follow-up interviews were conducted based on the literature review to uncover older adults’ perception (including perceived usefulness, perceived ease of use, and perceived behavioral control) of mHealth services. Study 2 was a workshop helping older adults to trial selected mHealth apps. The workshop was conducted by the first author (JP) with assistance from 5 research students. The barriers that older adults faced in the initial adoption period were observed. The interviews and workshop were audiotaped and transcribed. Descriptive statistics and the thematic analysis technique were used for data analysis. Results In total, 30 older adults in London completed the questionnaires and interviews in study 1. The results of study 1 show that the lack of obvious advantage, low reliability, scary information, and the risk of privacy leakage would decrease older adults’ perceived usefulness of mHealth services; the design of app interface would directly affect the perceived ease of use; and aging factors, especially the generation gap, would create barriers for older users. In total, 12 participants took part in the workshop of study 2, including 8 who took part in study 1. The results of study 2 identified that access to technology, the way of interaction, the risk of money loss, heavy workload of using an mHealth app, and different lifestyle are influential factors to older adults’ adoption of mHealth services. Conclusions The perceptions of mHealth services of older adults were investigated; the barriers that older adults may face in the initial adoption stage were identified. On the basis of the synthesis of these results, design suggestions were proposed, including technical improvement, free trial, information clarification, and participatory design. They will help inform the design of mHealth services to benefit older adults.
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Affiliation(s)
- Jing Pan
- College of Art and Design, Nanjing Tech University, Nanjing, China
| | - Hua Dong
- Brunel Design School, Brunel University London, London, United Kingdom
| | - Nick Bryan-Kinns
- School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom
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