Evidence map›Paper›PMID 37098230›Full record

ArticleJCO clinical cancer informatics2023

Benefits and Barriers of Technology for Home Function and Mobility Assessment: Perspectives of Older Patients With Blood Cancers, Caregivers, and Clinicians.

Dillon D Clancy, Anna C Revette, Nupur E Bahl, Kristi T Ho, Bradley Manor, Marcia A Testa, Christina M Dieli-Conwright, Tammy Hshieh, Jane A Driver, Gregory A Abel and 1 more

Open access · greenAbstract read
In one paragraph

Article in JCO clinical cancer informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
2.3field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. User experiences of digital health interventions among older adults with cancer: a systematic review of qualitative data.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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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

11 authors at 3 institutions in 1 country.

Dillon D ClancyDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-3299-6215
Anna C RevetteSurvey and Data Management Core, Dana-Farber Cancer Institute, Boston, MA.
Nupur E BahlDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0003-1784-9011
Kristi T HoDana-Farber Cancer Institute, Boston, MA.
Bradley ManorHarvard Medical School, Boston, MA.
Marcia A TestaHarvard School of Public Health, Boston, MA.
Christina M Dieli-ConwrightDana-Farber Cancer Institute, Boston, MA.
Tammy HshiehDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0001-8673-6681
Jane A DriverHarvard School of Public Health, Boston, MA.
Gregory A AbelDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0003-1100-2813
Clark DuMontierDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0003-2582-7816
Brigham and Women's Hospital · USHarvard University · USDana-Farber Cancer Institute · US

Funding

Trageting the Multiple Myeloma EpigenomeP50CA100707 · NCI · DANA-FARBER CANCER INSTITUTE · PI ANDERSON, KENNETH C., MUNSHI, NIKHIL C. · 2003 to 2023
$45.0M
TUFTS--FIELDINGP30AG031679 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI Thomas Glenn Travison · 2008 to 2026
$23.9M
Integration of Geriatric Measures Alongside Disease-Based Measures to Advance Precision Oncology for Older Veterans with Multiple MyelomaIK2CX002218 · VA · VA BOSTON HEALTH CARE SYSTEM · PI DUMONTIER, CLARK WILLIAM · 2021 to 2024
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CSRD VA IK2 CX002218NCI NIH HHS P50 CA100707NIA NIH HHS P30 AG031679
6 · The paper itself

Abstract

purposeAdvances in digital health technology can overcome barriers to measurement of function and mobility for older adults with blood cancers, but little is known about how older adults perceive such technology for use in their homes.

methodsTo characterize potential benefits and barriers associated with using technology for home functional assessment, we conducted three semistructured focus groups (FGs) in January 2022. Eligible patients came from the Older Adult Hematologic Malignancies Program at Dana-Farber Cancer Institute (DFCI), which includes adults 73 years and older enrolled during their initial consult with their oncologist. Eligible caregivers were 18 years and older and identified by enrolled patients as their primary caregiver. Eligible clinicians were practicing DFCI hematologic oncologists, nurse practitioners, or physician assistants with ≥2 years of clinical experience. A qualitative researcher led thematic analysis of FG transcripts to identify key themes.

resultsTwenty-three participants attended the three FGs: eight patients, seven caregivers, and eight oncology clinicians. All participants valued function and mobility assessments and felt that technology could overcome barriers to their measurement. We identified three themes related to potential benefits: making it easier for oncology teams to consider function and mobility; providing standardized, objective data; and facilitating longitudinal data. We also identified four themes related to barriers to home functional assessment: concerns related to privacy and confidentiality, burden of measuring additional patient data, challenges in operating new technology, and concerns related to data improving care.

conclusionThese data suggest that specific concerns raised by older patients, caregivers, and oncology clinicians must be addressed to improve acceptability and uptake of technology used to measure function and mobility in the home.

Indexed as

Hematologic NeoplasmsNeoplasmsAgedCaregiversHumansMedical OncologyTechnology

Identifiers

PMID37098230
PMCPMC10281405
OpenAlexW4366977272

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.