Usability evaluation of mHealth apps for elderly individuals: a scoping review

BMC Medical Informatics and Decision Making, Journal Year: 2022, Volume and Issue: 22(1)

Published: Dec. 2, 2022

Abstract Background Usability is a key factor affecting the acceptance of mobile health applications (mHealth apps) for elderly individuals, but traditional usability evaluation methods may not be suitable use in this population because aging barriers. The objectives study were to identify, explore, and summarize current state literature on mHealth apps older adults incorporate these into appropriate stage. Methods Electronic searches conducted 10 databases. Inclusion criteria articles focused designed adults. included studies classified according app framework, suitability among was analyzed. Results Ninety-six met inclusion criteria. Research activity increased steeply after 2013 (n = 92). Satisfaction 74) learnability 60) most frequently evaluated critical measures, while memorability 13) least evaluated. ratios satisfaction, learnability, operability, understandability measures significantly related different stages ( P < 0.05). used questionnaire 68), interview 36), concurrent thinking aloud 25), performance metrics behavioral observation log 14), screen recording 3), eye tracking 1), retrospective feedback 1). Thirty-two developed their own tool assess unique design features individuals. Conclusion In past five years, number field has rapidly. are often as an auxiliary means self-management help manage wellness disease. According three inconsistent. Future research should focus selecting specific relevant characteristics adapting individuals by improving tools, introducing automated tools optimizing processes.

Language: Английский

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Informing existing technology acceptance models: a qualitative study with older persons and caregivers

European Journal of Ageing, Journal Year: 2024, Volume and Issue: 21(1)

Published: March 29, 2024

Abstract New technologies can help older persons age in place and support their caregivers. However, they need to be accepted by the end-users do so. Technology acceptance models, such as TAM UTAUT extensions, use factors like performance expectancy effort explain acceptance. Furthermore, are based on quantitative methods. Our qualitative study investigates fostering hindering among caregivers for a variety of assistive technologies, including wearables, ambient sensors at home with without cameras social companion robots. The goal this paper is twofold: On one hand, it technology models setting. other informs these aspects currently overlooked them. results reveal that relevant We also find reliability, anxiety around different have an influence aged care all end-user groups. findings used update current provide in-depth knowledge about factors.

Language: Английский

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The UTAUT approach to Indonesia’s behavioral intention to use mobile health apps

Journal of Science and Technology Policy Management, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 13, 2024

Purpose This study aims to analyze the effects of performance expectancy, effort social influence and facilitating conditions on behavioral intention using mobile health applications, especially during after COVID-19 pandemic. Design/methodology/approach A survey was developed an online platform distributed Indonesian consumers for three weeks, 149 usable responses were obtained. The principal component analysis, linear regression analysis variance tests performed test validity reliability measurement model hypothesized relationships among constructs. Findings Surprisingly, unlike previous studies IT adoption, findings show that has no significant impact intention. Facilitating have a very weak almost use applications. Research limitations/implications research is conducted pandemic where apps must. In future this can be expanded as comparison stated. Practical implications result implies digital technologies adoption strongly affected by expectancy with most predictor. Nonetheless, interaction influences significantly. Therefore, are still important even insignificant effects. Originality/value To improve consumers’ application providers should promote applications useful telemedicine tools primarily focusing usage experience.

Language: Английский

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Applying the UTAUT2 framework to patients’ attitudes toward healthcare task shifting with artificial intelligence

BMC Health Services Research, Journal Year: 2024, Volume and Issue: 24(1)

Published: April 11, 2024

Abstract Background Increasing patient loads, healthcare inflation and ageing population have put pressure on the system. Artificial intelligence machine learning innovations can aid in task shifting to help systems remain efficient cost effective. To gain an understanding of patients’ acceptance toward such with AI, this study adapted Unified Theory Acceptance Use Technology 2 (UTAUT2), looking at performance effort expectancy, facilitating conditions, social influence, hedonic motivation behavioural intention. Methods This was a cross-sectional which took place between September 2021 June 2022 National Heart Centre, Singapore. One hundred patients, aged ≥ 21 years least one heart failure symptom (pedal oedema, New York Association II-III limitation, orthopnoea, breathlessness), who presented cardiac imaging laboratory for physician-ordered clinical echocardiogram, underwent both echocardiogram by skilled sonographers experience novice guided AI technologies. They were then given survey looked above-mentioned constructs using UTAUT2 framework. Results Significant, direct, positive effects all behavioral intention accepting AI-novice combination found. Facilitating expectancy top 3 constructs. The analysis moderating variables, age, gender education levels, found no impact Conclusions These results are important stakeholders changemakers as policymakers, governments, physicians, insurance companies, they design adoption strategies ensure successful engagement focusing factors affecting technologies used shifting.

Language: Английский

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Association Between Intergenerational Support, Technology Perception and Trust, and Intention to Seek Medical Care on the Internet Among Chinese Older Adults: Cross-Sectional Questionnaire Study

Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: 27, P. e65065 - e65065

Published: Jan. 6, 2025

Avoiding technological innovation does not simplify life. In fact, using internet-based medical services can enhance the quality of life for older adults. context an aging population and growing integration information technology, demand among adults is gaining increased attention. While scholars have highlighted important role intergenerational support in promoting digital inclusion adults, research on relationship between adults' intentions to seek online care remains limited. This study aims (1) explore association support, information, intention online, (2) examine mediating technology perception trust, as well moderating eHealth literacy. A cross-sectional survey was conducted China, collecting 958 valid responses from aged 60 years above. vast majority participants were ages 75 (771/958, 80.5%). Of participants, 559 (58.4%) resided rural areas, while 399 (41.6%) lived urban areas. The included questions perceived usefulness, ease use, literacy, online. Structural equation modeling linear regression analysis applied internet. Intergenerational positively associated with use (β=.292, P<.001), usefulness (β=.437, trust (β=.322, (β=.354, P<.001). Online also affected (β=.109, Perceived (β=.029, 95% CI 0.009-0.054), (β=.089, 0.050-0.130), (β=.063, 0.036-0.099) partially mediated Further found that played a chain (β=.015, 0.008-0.027; β=.022, 0.012-0.036). Additionally, literacy (β=.177, (β=.073, P<.05), (β=.090, P<.01), (β=.124, An integrated model health communication effects constructed validated, providing empirical impact communication. helps promote empowering lives seniors.

Language: Английский

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Examine the factors influencing the behavioral intention to use social commerce adoption and the role of AI in SC adoption

European Research on Management and Business Economics, Journal Year: 2025, Volume and Issue: 31(1), P. 100268 - 100268

Published: Jan. 1, 2025

Language: Английский

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Factors Influencing Healthcare Technology Acceptance in Older Adults Through TAM and UTAUT: Meta-Analysis. (Preprint)

Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: 27, P. e65269 - e65269

Published: Feb. 25, 2025

Background The technology acceptance model (TAM) and the unified theory of use (UTAUT) are widely used to examine health care among older adults. However, existing literature exhibits considerable heterogeneity, making it difficult determine consistent predictors behavior. Objective We aimed (1) influence perceived usefulness (PU), ease (PEOU), social (SI) on behavioral intention (BI) adults (2) assess moderating effects age, gender, geographic region, type technology, presence visual demonstrations. Methods A systematic search was conducted across Google Scholar, Web Science, Scopus, IEEE Xplore, ProQuest databases March 15, 2024, following PRISMA (Preferred Reporting Items for Systematic Reviews Meta-Analyses) guidelines. Of 1167 initially identified studies, 41 studies (11,574 participants; mean age 67.58, SD 4.76 years; female:male ratio=2.00) met inclusion criteria. comprised 12 mobile health, online or telemedicine, 9 wearable, 8 home institution hardware investigations, with 23 from Asia, 7 Europe, African-Islamic regions, 4 United States. Studies were eligible if they TAM UTAUT, examined adoption adults, reported zero-order correlations. Two independent reviewers screened extracted data, assessed methodological quality using Newcastle-Ottawa Scale, evaluating selection, comparability, outcome assessment 34% (14/41) rated as good 66% (27/41) satisfactory. Results Random-effects meta-analysis revealed significant positive correlations PU-BI (r=0.607, 95% CI 0.543-0.665; P<.001), PEOU-BI (r=0.525, 0.462-0.583; SI-BI (r=0.551, 0.468-0.624; P<.001). High heterogeneity observed (I²=95.9%, 93.6%, 95.3% PU-BI, PEOU-BI, SI-BI, respectively). Moderator analyses differences based region (Q=8.27; P=.04), strongest in Europe (r=0.628) weakest regions (r=0.480). Technology significantly moderated (Q=8.08; P=.04) (Q=14.75; P=.002), institutional showing (PU-BI: r=0.736; SI-BI: r=0.690). Visual demonstrations enhanced (r=0.706 vs r=0.554; Q=4.24; relationships (r=0.670 r=0.492; Q=4.38; P=.04). Age gender showed no effects. Conclusions findings indicate that PU, PEOU, SI impact influenced by This suggests tailored strategies different types important enhancing rates. Limitations include varying definitions correlation coefficients rather than controlled effect sizes. should therefore be interpreted within specific contexts populations.

Language: Английский

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What Drives People’s Behavioral Intention Toward Telemedicine? An Emerging Economy Perspective

SAGE Open, Journal Year: 2023, Volume and Issue: 13(3)

Published: July 1, 2023

Because healthcare systems in developing nations are underfunded and unequal, practitioners must understand how telemedicine may be widely introduced sustained. Unfortunately, adoption receives less attention there is limited knowledge regarding the interfering influence of patient engagement, satisfaction, individual innovativeness. Consequentially, current study seeks to investigate factors that patients’ behavioral intentions toward telemedicine, while acknowledging engagement satisfaction as mediators personal innovativeness a moderator. A questionnaire instrument was used reach users Bangladesh, finally, 305 samples were curated explored applying structural equation modeling AMOS software. The empirical results show information quality, performance expectancy, strong stimulators intention whereas functionality, expectancy drive engagement. One worthy findings this play significant mediating function, plays moderating role, influencing telemedicine. Confirming moderator adds originality research, overall will help reduce bias prejudice among marginalized people countries like Bangladesh.

Language: Английский

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The Synergistic Effect of Nurse Proactive Phone Calls With an mHealth App Program on Sustaining App Usage: 3-Arm Randomized Controlled Trial

Journal of Medical Internet Research, Journal Year: 2023, Volume and Issue: 25, P. e43678 - e43678

Published: May 1, 2023

Background Although mobile health application (mHealth app) programs have effectively promoted disease self-management behaviors in the last decade, usage rates tended to fall over time. Objective We used a case management approach led by nurse and supported health-social partnership team with aim of sustaining app among community-dwelling older adults evaluated outcome differences (i.e, self-efficacy, levels depression, total service usages) between those who continued use app. Methods This was 3-arm randomized controlled trial. A 221 hypertension, diabetes, or chronic pain were into 3 groups: mHealth (n=71), interactivity (mHealth+I; n=74), control (n=76). The given mHealth+I groups. group also received 8 proactive calls months from encourage no interventions. Data collected at preintervention (T1), postintervention (T2), months’ (T3) ascertain sustained effect. Results 37.8% 18.3% participants using least twice per week until end sixth month. difference across 2 groups T2 T3 significant (χ21=6.81, P=.009). Improvements self-efficacy (β=4.30, 95% CI 0.25-8.35, P=.04) depression (β=–1.98, –3.78 –0.19, P=.03) T1 observed scores improved group, mean values decreased T3. Health for all (β=–1.38, –1.98 –0.78, P<.001), marginal increase Conclusions relatively low follow-up are comparable reported literature. More work is needed merge technology-driven in-person aspects mHealth. Trial Registration ClinicalTrials.gov NCT03878212; https://clinicaltrials.gov/ct2/show/NCT03878212 International Registered Report Identifier (IRRID) RR2-10.1159/000509129

Language: Английский

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Explaining the Consumption Technology Acceptance in the Elderly Post-Pandemic: Effort Expectancy Does Not Matter

Behavioral Sciences, Journal Year: 2023, Volume and Issue: 13(2), P. 87 - 87

Published: Jan. 21, 2023

Consumer technology has been enormously boosted by the COVID-19 pandemic, with one of primary consumers being elderly. In this scenario, it is necessary to consider impact technologies on different older generational cohorts understand future a data-driven digital society fully. This research aims explain acceptance social networking sites, particular consumer technology, in post-pandemic elderly population. Data were obtained from 1555 adults Chile based model. The respondents grouped according their technological predisposition and generation into three groups. Applying multigroup analysis structural equation modelling reveals significant differences explanatory variables intention use between And more remarkably, effort expectancy not statistically as variable globally either There are two principal contributions study. First, shows why adopt after pandemic. Second, validates classification who consumption that useful understanding heterogeneity phenomenon.

Language: Английский

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