Factors influencing technology use among low-income older adults: A systematic review

Chan, Diana Yian Lian; Lee, Shaun Wen Huey; Teh, Pei-Lee

doi:10.1016/j.heliyon.2023.e20111

Cited by 13 publications

(4 citation statements)

References 80 publications

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“…22,33 A recent systematic review indicated that in limited resource contexts, LIOA are more likely to use technologies if there are necessities or fundamental needs that technologies can provide. 29 Therefore, it is important to ensure the efficacies of technological design and interventions in addressing the needs of LIOA. Future development of mobile app-based solutions for older adults should incorporate participatory design 13 to yield design solutions that address their specific needs.…”

Section: Discussionmentioning

confidence: 99%

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What drives low‐income older adults' intention to use mobility applications?

Chan,

Chong,

Teh

et al. 2024

Geriatrics Gerontology Int

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AimMobility applications have the potential to support low‐income older adults in facing mobility challenges. However, there is a generally lower uptake of technology in this segment. To understand factors affecting the intention to use a mobility app, we drew upon the Protection Motivation Theory, and tested a model of low‐income older adults' technology adoption.MethodsA cross‐sectional survey was conducted across seven states in Malaysia among community‐dwelling low‐income older adults aged ≥60 years old (n = 282). Measurement items were adapted from pre‐validated scales and 7‐point Likert Scales were used. Partial least squares structural equation modeling was utilized to assess the hypothesized model.ResultsMobility technology awareness was found to shape an individual's threat and coping appraisals associated with their intention to use a mobility app. The decision of a low‐income older adult to adopt a mobility app as a protective action is not a direct function of threat and coping appraisals but is indirect, and mediated by the underlying cost–benefit perceptions of non‐adoption and adoption of the mobility app. In terms of technology perceptions, perceived usefulness is a significant predictor, but not perceived ease of use.ConclusionsThis study entails a new model by uncovering the psychological factors encompassing mobility technology awareness, threat‐coping appraisals, and cost–benefit perceptions on Technology Acceptance Model studies. These insights have important implications for the development and implementation of a mobility app among low‐income older adults. Geriatr Gerontol Int 2024; ••: ••–••.

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Section: Discussionmentioning

confidence: 99%

“…19,20,[26][27][28] However, few studies examined perceptions (psychological factors) quantitatively. 20,21,29 Most findings on perceptions were inductively derived qualitatively. [30][31][32][33] Thus, little is understood about the effect of LIOA's perceptions in shaping their intention to use technology.…”

Section: Introductionmentioning

confidence: 99%

What drives low‐income older adults' intention to use mobility applications?

Chan,

Chong,

Teh

et al. 2024

Geriatrics Gerontology Int

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“…A SMS text message coming directly from a patient’s provider or clinic could yield different results and future research could randomize who sends the message. A third reason for the low response rate could be barriers to using the technology [ 30 , 31 ]. We had to embed the questionnaire as a link in the SMS text message rather than have the questions directly in the message.…”

Section: Discussionmentioning

confidence: 99%

Feasibility of Using Text Messaging to Identify and Assist Patients With Hypertension With Health-Related Social Needs: Cross-Sectional Study

Kormanis,

Quinones,

Obermiller

et al. 2024

JMIR Cardio

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Background Health-related social needs are associated with poor health outcomes, increased acute health care use, and impaired chronic disease management. Given these negative outcomes, an increasing number of national health care organizations have recommended that the health system screen and address unmet health-related social needs as a routine part of clinical care, but there are limited data on how to implement social needs screening in clinical settings to improve the management of chronic diseases such as hypertension. SMS text messaging could be an effective and efficient approach to screen patients; however, there are limited data on the feasibility of using it. Objective We conducted a cross-sectional study of patients with hypertension to determine the feasibility of using SMS text messaging to screen patients for unmet health-related social needs. Methods We randomly selected 200 patients (≥18 years) from 1 academic health system. Patients were included if they were seen at one of 17 primary care clinics that were part of the academic health system and located in Forsyth County, North Carolina. We limited the sample to patients seen in one of these clinics to provide tailored information about local community-based resources. To ensure that the participants were still patients within the clinic, we only included those who had a visit in the previous 3 months. The SMS text message included a link to 6 questions regarding food, housing, and transportation. Patients who screened positive and were interested received a subsequent message with information about local resources. We assessed the proportion of patients who completed the questions. We also evaluated for the differences in the demographics between patients who completed the questions and those who did not using bivariate analyses. Results Of the 200 patients, the majority were female (n=109, 54.5%), non-Hispanic White (n=114, 57.0%), and received commercial insurance (n=105, 52.5%). There were no significant differences in demographics between the 4446 patients who were eligible and the 200 randomly selected patients. Of the 200 patients included, the SMS text message was unable to be delivered to 9 (4.5%) patients and 17 (8.5%) completed the social needs questionnaire. We did not observe a significant difference in the demographic characteristics of patients who did versus did not complete the questionnaire. Of the 17, a total of 5 (29.4%) reported at least 1 unmet need, but only 2 chose to receive resource information. Conclusions We found that only 8.5% (n=17) of patients completed a SMS text message–based health-related social needs questionnaire. SMS text messaging may not be feasible as a single modality to screen patients in this population. Future research should evaluate if SMS text message–based social needs screening is feasible in other populations or effective when paired with other screening modalities.

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“…Tailored digital literacy programs empower older adults to navigate technology, effectively bridging the generational gap in technology adoption. Technology's PU is a crucial factor influencing its acceptance among older adults (Chan et al, 2023;Harris et al, 2022;Liesa-Orús et al, 2022). Proper training enables them to grasp the practical benefits of technology in their daily lives, such as using smartphones for communication, accessing healthcare information online, or managing finances through digital platforms.…”

Section: Digital Literacy and Independent Livingmentioning

confidence: 99%

Digital immigrants: Leveraging the technology acceptance model to increase digital literacy in older adults

McGinty,

Oest,

Divido

2024

New Dir Adult Contin Educ

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In “Digital Immigrants: Leveraging the Technology Acceptance Model to Increase Digital Literacy in Older Adults,” the authors delve into the vital importance of digital literacy for supporting older adults in living independently and staying connected with their community. They explore how the Technology Acceptance Model (TAM), which emphasizes the perceived usefulness of technology, can be effectively used to encourage older adults to embrace digital tools. The article highlights that well‐designed technology training can do much more than help older adults live independently; it can also significantly enhance their connections with family, friends, healthcare providers, and community services. Additionally, it offers practical guidelines for creating effective technology training programs that empower older adults to lead more connected, independent, and enriched lives.

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Factors influencing technology use among low-income older adults: A systematic review

Cited by 13 publications

References 80 publications

What drives low‐income older adults' intention to use mobility applications?

What drives low‐income older adults' intention to use mobility applications?

Feasibility of Using Text Messaging to Identify and Assist Patients With Hypertension With Health-Related Social Needs: Cross-Sectional Study

Digital immigrants: Leveraging the technology acceptance model to increase digital literacy in older adults

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