Evidence map›Paper›PMID 35394440›Full record

ArticleJournal of medical Internet research2022

Gap in Willingness and Access to Video Visit Use Among Older High-risk Veterans: Cross-sectional Study.

Stuti Dang, Kiranmayee Muralidhar, Shirley Li, Fei Tang, Michael Mintzer, Jorge Ruiz, Willy Marcos Valencia

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

7 authors at 3 institutions in 1 country.

Stuti Dang *Geriatric Research, Education and Clinical Center, Miami Veterans Affairs Healthcare System, Miami, FL, United States.ORCID 0000-0002-7203-3229
Kiranmayee MuralidharDepartment of Epidemiology, Miller School of Medicine, University of Miami, Miami, FL, United States.ORCID 0000-0003-4202-9875
Shirley LiMiller School of Medicine, University of Miami, Miami, FL, United States.ORCID 0000-0002-2601-7164
Fei TangGeriatric Research, Education and Clinical Center, Miami Veterans Affairs Healthcare System, Miami, FL, United States.ORCID 0000-0001-6652-8420
Michael MintzerGeriatric Research, Education and Clinical Center, Miami Veterans Affairs Healthcare System, Miami, FL, United States.ORCID 0000-0001-5789-172X
Jorge RuizGeriatric Research, Education and Clinical Center, Miami Veterans Affairs Healthcare System, Miami, FL, United States.ORCID 0000-0003-3069-8502
Willy Marcos ValenciaDivision of Endocrinology, Diabetes and Metabolic Diseases, Department of Medicine, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0001-6643-837X
University of Miami · USGeriatric Research Education and Clinical Center · USMedical University of South Carolina · US

Funding

HSRD VA I50 HX002767
6 · The paper itself

Abstract

backgroundThe recent shift to video care has exacerbated disparities in health care access, especially among high-need, high-risk (HNHR) adults. Developing data-driven approaches to improve access to care necessitates a deeper understanding of HNHR adults' attitudes toward telemedicine and technology access.

objectiveThis study aims to identify the willingness, access, and ability of HNHR veterans to use telemedicine for health care.

methodsWWe designed a questionnaire conducted via mail or telephone or in person. Among HNHR veterans who were identified using predictive modeling with national Veterans Affairs data, we assessed willingness to use video visits for health care, access to necessary equipment, and comfort with using technology. We evaluated physical health, including frailty, physical function, performance of activities of daily living (ADL) and instrumental ADL (IADL); mental health; and social needs, including Area Deprivation Index, transportation, social support, and social isolation.

resultsThe average age of the 602 HNHR veteran respondents was 70.6 (SD 9.2; range 39-100) years; 99.7% (600/602) of the respondents were male, 61% (367/602) were White, 36% (217/602) were African American, 17.3% (104/602) were Hispanic, 31.2% (188/602) held at least an associate degree, and 48.2% (290/602) were confident filling medical forms. Of the 602 respondents, 327 (54.3%) reported willingness for video visits, whereas 275 (45.7%) were unwilling. Willing veterans were younger (P<.001) and more likely to have an associate degree (P=.002), be health literate (P<.001), live in socioeconomically advantaged neighborhoods (P=.048), be independent in IADLs (P=.02), and be in better physical health (P=.04). A higher number of those willing were able to use the internet and email (P<.001). Of the willing veterans, 75.8% (248/327) had a video-capable device. Those with video-capable technology were younger (P=.004), had higher health literacy (P=.01), were less likely to be African American (P=.007), were more independent in ADLs (P=.005) and IADLs (P=.04), and were more adept at using the internet and email than those without the needed technology (P<.001). Age, confidence in filling forms, general health, and internet use were significantly associated with willingness to use video visits.

conclusionsApproximately half of the HNHR respondents were unwilling for video visits and a quarter of those willing lacked requisite technology. The gap between those willing and without requisite technology is greater among older, less health literate, African American veterans; those with worse physical health; and those living in more socioeconomically disadvantaged neighborhoods. Our study highlights that HNHR veterans have complex needs, which risk being exacerbated by the video care shift. Although technology holds vast potential to improve health care access, certain vulnerable populations are less likely to engage, or have access to, technology. Therefore, targeted interventions are needed to address this inequity, especially among HNHR older adults.

Indexed as

TelemedicineVeteransActivities of Daily LivingAdultAgedAged, 80 and overCross-Sectional StudiesHealth Services AccessibilityHumansMaleMiddle AgedArea Deprivation Indexhealth disparitieshigh-risk veteransmobile phoneolder adultstelemedicinevideo visits

Identifiers

PMID35394440
PMCPMC9034417
OpenAlexW4206943767

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.