Evidence map›Paper›PMID 38021598›Full record

ArticleCureus2023

Evaluation of a Physical Therapist-Delivered Technology Literacy Algorithm and Protocol for Older Adults: A Pilot Study.

Christopher M Wilson, Sara K Arena, Lori Boright, Nicholas Duplissis, Michael Hilliker, John Krupa

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 71% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

Christopher M WilsonPhysical Therapy, Oakland University, Rochester, USA.
Sara K ArenaPhysical Therapy, Oakland University, Rochester, USA.
Lori BorightPhysical Therapy, Oakland University, Rochester, USA.
Nicholas DuplissisPhysical Therapy, Oakland University, Rochester, USA.
Michael HillikerPhysical Therapy, Oakland University, Rochester, USA.
John KrupaPhysical Therapy, Oakland University, Rochester, USA.
Oakland University · USNorthwell Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Technology literacy is the ability to comfortably understand, use, and navigate digital devices. It is considered a "super social determinant of health", and yet 39% of adults aged 65+ report not using a smartphone, and 25% of seniors still lack internet access. The purpose of this study was to examine the applicability of a physical therapist-delivered clinical assessment tool related to technological literacy and to identify relationships between technology utilization and perceptions related to sociodemographic factors in community-dwelling older adults. Methods A prospective mixed-methods observational-descriptive study where physical therapists (PTs) administered a newly designed technology literacy algorithm to older adults and evaluated the results of the algorithm. A convenience sample of 30 participants aged 65 and older was evaluated for their technology literacy. The exclusion criteria were if the person had a vision deficit, lived in a nursing home or extended care facility, was unable to fluently read and understand the English language, or was not willing to have an in-home visit by a licensed PT. After informed consent was obtained, the participant completed a Past Experience with Technology Questionnaire assessing participant confidence with technology usage and a demographic questionnaire. A PT data collector visited participants' homes and administered a novel technology literacy algorithm. The PTs also provided subjective feedback after patient visits as to their perceptions of the algorithm. Inferential statistics were performed for key variables, including a Kruskal-Wallis test being utilized for variables with three or more levels and a two-sample Wilcoxon test being utilized for variables with two levels. The binary results were evaluated with chi-squared tests. Trends in distribution and measures of central tendency were analyzed for demographic data. Statistical significance was set at P<0.05 with a confidence interval of 95%. Results Participants (n=30) were evenly distributed with regard to age, and 66% of people had a college degree. Most were female, of the white race, and retired. There were statistically significant relationships between older age and decreased comfort level with using the internet (P=0.30) and sending messages (P=0.31), with individuals 80+ years old having a mean confidence of 6.78 out of 10. A statistically significant relationship was also found between higher income and increased confidence in browsing the internet (P = 0.07). Most qualitative data from physical therapist experiences included positive trends such as ease of use, efficiency, and confidence instilled. Constructive feedback included a lack of resources to assist with more advanced technology-related needs and recommendations to refine the algorithm when advanced needs were identified. Conclusion Technology literacy is a vital component of accessing health and medical care and maximizing the quality of that care, especially in the older adult population. The tools created may assist clinicians with identifying and addressing issues related to technology in older adults. This may help a patient navigate health issues that require the use of technology in their home. This study provided evidence that a PT-administered algorithm may be feasible to address technology literacy issues in the homes of older adults.

Indexed as

digital literacyevaluation for telehealthhealthy agingphysical medicine and rehabilitationsocial determinants of health (sdoh)

Identifiers

PMID38021598
PMCPMC10680407
OpenAlexW4388000621

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.