Evidence map›Paper›PMID 38652424›Full record

ReviewCurrent oncology reports2024

The Growing Role of Digital Health Tools in the Care of Patients with Cancer: Current Use, Future Opportunities, and Barriers to Effective Implementation.

Robert Haemmerle, Jonas Paludo, Tufia C Haddad, Joshua C Pritchett

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Mobile apps for cancer patient education: a technology foresight analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

4 authors.

Robert HaemmerleDepartment of Medicine, Mayo Clinic, Rochester, MN, USA.
Jonas PaludoDepartment of Medicine, Mayo Clinic, Rochester, MN, USA.
Tufia C HaddadDepartment of Oncology, Mayo Clinic, Rochester, MN, USA.
Joshua C PritchettDivision of Hematology, Mayo Clinic, Rochester, MN, USA. Pritchett.Joshua@mayo.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis article aims to describe the ways in which digital health technologies are currently being used to improve the delivery of cancer care, highlight opportunities to expand their use, and discuss barriers to effective and equitable implementation. RECENT

findingsThe utilization of digital health tools and development of novel care delivery models that leverage such tools is expanding. Recent studies have shown feasibility and increased implementation in the setting of oncologic care. With technological advances and key policy changes, utilization of digital health tools has greatly increased over the past two decades and transformed how cancer care is delivered. As digital health tools are expanded and refined, there is potential for improved access to and quality and efficiency of cancer care. However, careful consideration should be given to key barriers of digital health tool adoption, such as infrastructural, patient-level, and health systems-level challenges, to ensure equitable access to care and improvement in health outcomes.

Indexed as

NeoplasmsTelemedicineDelivery of Health CareDigital HealthDigital TechnologyHumansCancer careDigital healthElectronic patient-reported outcomes (ePROs)Healthcare deliveryRemote patient monitoring (RPM)Telehealth

Identifiers

What OpenQuestion holds

Textmetadata
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.