Evidence map›Paper›PMID 37256672›Full record

ArticleJournal of medical Internet research2023

Use of Digital Health Technology Among Older Adults With Cancer in the United States: Findings From a National Longitudinal Cohort Study (2015-2021).

Weijiao Zhou, Youmin Cho, Shaomei Shang, Yun Jiang

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Effectiveness of mobile-based monitoring system (ONKOSIS) in the management of chemotherapy-related symptoms: a randomized controlled trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Trial
  3. Article
  4. Article
  5. Digital Divide Among U.S. Adults with and without Cancer: Prevalence and Associated Factors.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Barriers and enablers to integrating physical activity in breast cancer care: A qualitative study using the TDF and COM-B model.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  10. Digital exclusion in healthcare services: a scoping review.International journal for equity in health · 2026
    Review
  11. Article
  12. Article
  13. Review
  14. Exploring factors affecting the adoption and use of digital health technologies among older adults with cancer: A qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  15. Article
  16. Article
  17. Social determinants of health and health outcomes in older cancer survivors.Current opinion in supportive and palliative care · 2025
    Review
  18. Article
  19. Article
  20. Article
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

4 authors.

Weijiao ZhouSchool of Nursing, Peking University, Beijing, China.ORCID 0000-0001-6521-9896
Youmin ChoSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID 0000-0003-1381-652X
Shaomei ShangSchool of Nursing, Peking University, Beijing, China.ORCID 0000-0002-3913-4570
Yun JiangSchool of Nursing, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-6737-5016

Funding

Patient Engagement in Reporting Medication Events during Transitions of CareR01HS027846 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GONG, YANG, JIANG, YUN · 2021 to 2025
$2.0M
AHRQ HHS R01 HS027846
6 · The paper itself

Abstract

backgroundDespite the benefits of digital health technology use, older adults with cancer (ie, aged 65 years) have reported challenges to technology adoption. However, there has been a lack of a good understanding of their digital health technology use patterns and the associated influential factors in the past few years.

objectiveThis study aimed to examine the trends in and factors associated with digital health technology use among older adults with cancer.

methodsThe National Health and Aging Trends Study (NHATS) data set is a national longitudinal cohort study with annual survey waves of Medicare beneficiaries 65 years and older. Participants were community-dwelling older adults who self-reported previous or current cancer diagnoses in each round. The study sample size of each round ranged from 1996 (2015) to 1131 (2021). Digital health technology use was defined as using the internet or online in the last month to order or refill prescriptions, contact medical providers, handle Medicare or other insurance matters, or get information about their health conditions. The association of sociodemographics, clinical factors (self-rated health, chronic conditions, difficulties in activities of daily living, dementia, anxiety, and depression), and physical function (Short Physical Performance Battery and grip strength) with digital health technology use was examined using design-based logistic regression. All statistical analyses accounted for the complex sample design.

resultsThe prevalence of any digital health technology use increased from 36% in 2015 to 45% in 2019. In 2020-2021, which was amid the COVID-19 pandemic, it ranged from 51% to 52%. In terms of each digital health technology use behavior, in 2015, overall, 28% of older cancer survivors used digital health technology to obtain health information, followed by contacting clinicians (19%), filling prescriptions (14%), and handling insurance (11%). Greater use of digital health technology was associated with younger age, being White, having a college or higher education, having a higher income, having more comorbidities, nondementia, and having a higher gait speed.

conclusionsDigital health technology use in older adults with cancer has gradually increased, particularly during the COVID-19 pandemic. However, socioeconomic and racial disparities have remained in older cancer survivors. Additionally, older adults with cancer may have some unique features associated with digital health technology use; for example, their use of digital health may be increased by their comorbidities (ie, health care needs) and reduced by their frailty.

Indexed as

COVID-19NeoplasmsActivities of Daily LivingAgedBiomedical TechnologyHumansLongitudinal StudiesMedicarePandemicsUnited Statescancercancer survivordigital healthdigital health technologyolder adultsolder cancer survivorssurvivorshiptechnology

Identifiers

PMID37256672
PMCPMC10267783

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.