Evidence map›Paper›PMID 38687989›Full record

ArticleJMIR formative research2024

Community-Dwelling Older Adults' Readiness for Adopting Digital Health Technologies: Cross-Sectional Survey Study.

Dietmar Ausserhofer, Giuliano Piccoliori, Adolf Engl, Angelika Mahlknecht, Barbara Plagg, Verena Barbieri, Nicoletta Colletti, Stefano Lombardo, Timon Gärtner, Waltraud Tappeiner and 2 more

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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
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

12 authors.

Dietmar AusserhoferInstitute of General Medicine and Public Health, Bolzano, Italy.ORCID https://orcid.org/0000-0002-0319-4766
Giuliano PiccolioriInstitute of General Medicine and Public Health, Bolzano, Italy.ORCID https://orcid.org/0000-0003-1974-4184
Adolf EnglInstitute of General Medicine and Public Health, Bolzano, Italy.ORCID https://orcid.org/0009-0007-2720-001X
Angelika MahlknechtInstitute of General Medicine and Public Health, Bolzano, Italy.ORCID https://orcid.org/0000-0002-5280-5447
Barbara PlaggInstitute of General Medicine and Public Health, Bolzano, Italy.ORCID https://orcid.org/0000-0002-6116-7504
Verena BarbieriInstitute of General Medicine and Public Health, Bolzano, Italy.ORCID https://orcid.org/0000-0002-5934-9472
Nicoletta CollettiProvincial Institute of Statistics (ASTAT), Bolzano, Italy.ORCID https://orcid.org/0009-0009-2854-5954
Stefano LombardoProvincial Institute of Statistics (ASTAT), Bolzano, Italy.ORCID https://orcid.org/0009-0009-8034-8480
Timon GärtnerProvincial Institute of Statistics (ASTAT), Bolzano, Italy.ORCID https://orcid.org/0000-0001-6187-5159
Waltraud TappeinerClaudiana Research, College of Healthcare Professions Claudiana, Bolzano, Italy.ORCID https://orcid.org/0000-0001-6165-2270
Heike WieserClaudiana Research, College of Healthcare Professions Claudiana, Bolzano, Italy.ORCID https://orcid.org/0000-0002-5271-4182
Christian Josef WiedermannInstitute of General Medicine and Public Health, Bolzano, Italy.ORCID https://orcid.org/0000-0002-4639-8195

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health technologies offer the potential to improve the daily lives of older adults, maintain their health efficiently, and allow aging in place. Despite increasing evidence of benefits and advantages, readiness for adopting digital interventions among older people remains underexplored.

objectiveThis study aims to explore the relationships between sociodemographic-, health-, and lifestyle-related factors and technology use in everyday life and community-dwelling older adults' readiness to adopt telemedicine, smartphones with texting apps, wearables, and robotics.

methodsThis was a cross-sectional, population-based survey study with a stratified probabilistic sample of adults aged 75 years or older living in South Tyrol (autonomous province of Bolzano/Bozen, Italy). A random sample of 3600 community-dwelling older adults living at home was invited to complete a questionnaire including single items (older adults' readiness to use health technology) and scales (PRISMA-7; Program of Research on Integration of Services for the Maintenance of Autonomy). Descriptive and logistic regression analyses were performed to analyze the data.

resultsIn total, 1695 community-dwelling older adults completed the survey (for a response rate of 47%). In terms of potential digital health technology adoption, wearable devices were favored by 33.7% (n=571), telemedicine by 30.1% (n=510), smartphones and texting apps by 24.5% (n=416), and assistant robots by 13.7% (n=232). Sociodemographic-, health- and lifestyle-related factors, as well as the use of technology in everyday life, played a significant role in explaining readiness to adopt digital health technologies. For telemedicine, age ≥85 years (odds ratio [OR] 0.74, 95% CI 0.56-0.96), financial constraints (OR 0.68, 95% CI 0.49-0.95), and less than 2 hours of physical activity per week (OR 0.75, 95% CI 0.58-0.98) were associated with nonreadiness, while Italian-speaking participants (OR 1.54, 95% CI 1.16-2.05) and those regularly using computers (OR 1.74, 95% CI 1.16-2.60), smartphones (OR 1.69, 95% CI 1.22-2.35), and the internet (OR 2.26, 95% CI 1.47-3.49) reported readiness for adoption.

conclusionsCommunity-dwelling older adults display varied readiness toward the adoption of digital health technologies, influenced by age, mother tongue, living situation, financial resources, physical activity, and current use of technology. The findings underscore the need for tailored interventions and educational programs to boost digital health technology adoption among community-dwelling older adults.

Indexed as

adoptionageingagingcross-sectional studydigital healthe-healtheHealthelderelderlyEuropeEuropeanfrail older adultsgeriatricgeriatricsgerontologyhealth technologieshealth technologyItalianItalyolder adultolder adultsolder peopleolder personpopulation-based surveyquestionnairequestionnairesreadinessroboticsstratified probabilistic samplingsurveysurveystelehealthtelemedicineusage

Identifiers

PMID38687989
PMCPMC11094597

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.