Evidence map›Paper›PMID 39625744›Full record

ArticleJMIR formative research2024

The Role of Health in the Technology Acceptance Model Among Low-Income Asian American Older Adults: Cross-Sectional Survey Analysis.

Pauline DeLange Martinez, Daniel Tancredi, Misha Pavel, Lorena Garcia, Heather M Young

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Pauline DeLange MartinezBetty Irene Moore School of Nursing, University of California, Davis, Sacramento, CA, United States.ORCID 0000-0002-9983-4114
Daniel TancrediDepartment of Pediatrics, University of California, Davis, Sacramento, CA, United States.ORCID 0000-0002-3884-7907
Misha PavelKhoury College of Computer Science, Northeastern University, Boston, MA, United States.ORCID 0000-0002-8023-6405
Lorena GarciaDepartment of Public Health Sciences, University of California, Davis, Sacramento, CA, United States.ORCID 0000-0002-9976-761X
Heather M YoungBetty Irene Moore School of Nursing, University of California, Davis, Sacramento, CA, United States.ORCID 0000-0002-1691-3993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-rated health is associated with information and communications technology (ICT) use among older adults. Non-US born, older Asian American individuals are more inclined to rate their health as fair or poor compared to individuals from other racial and ethnic backgrounds. This population is also less likely to use ICTs as compared to White older Americans. Furthermore, cognitive decline may impact technology acceptance. In a previous adaptation of the technology acceptance model for low-income, Asian American older adults, perceived usefulness (PU), perceived ease of use (PEOU), age, educational attainment, ethnicity, and English proficiency were significant predictors of ICT use. However, the association between health and technology acceptance has not been explored among Asian American older adults.

objectiveThis study examined the role of self-rated health and subjective cognitive decline in the acceptance and use of ICTs among low-income, Asian American older adults.

methodsThis cross-sectional survey included Asian American individuals aged ≥62 years living in affordable housing for older adults (N=392). Using hierarchical multiple regression, we explored the association between self-rated health and ICT use and technology acceptance model mediators (PU and PEOU) while adjusting for demographics, English proficiency, and subjective cognitive decline. Contrast statements were used to estimate contrasts of interest. To further examine the separate and joint association between age and subjective cognitive decline and the dependent variables, we examined scatterplots with locally estimated scatterplot smoothing lines, revealing that the relationship between subjective cognitive decline and ICT use varied in 3 age segments, which led to updating our analysis to estimate differences in ICT use among age categories with and without subjective cognitive decline.

resultsSelf-rated health was not significantly associated with ICT use (β=.087; P=.13), PU (β=.106; P=.10), or PEOU (β=.062; P=.31). However, the interaction terms of subjective cognitive decline and age significantly improved the model fit for ICT use (ΔR

conclusionsThis study contributes to the understanding of the complex relationship between health and ICT acceptance among low-income, Asian American older adults and suggests the need for tailored interventions to promote digital engagement and quality of life for this population.

Indexed as

AsianPovertyAgedAged, 80 and overCross-Sectional StudiesFemaleHealth StatusHumansMaleMiddle AgedSurveys and QuestionnairesagedAsian Americandigital divideICTimmigrantinformation and communications technologyinternetmobile phoneolder adultstechnology acceptance modelvulnerable populations

Identifiers

PMID39625744
PMCPMC11653037

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.