Evidence map›Paper›PMID 40625813›Full record

ArticleInternational Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare2023

mHealth for Medication and Side Effect Monitoring: Patients' Attitudes Toward Smart Devices for Managing Oral Chemotherapy During Lung Cancer Treatment.

Anna N Baglione, Sarah Tolman, Chloe Dapaah, Danielle Johnson, Kristen J Wells, Richard D Hall, Ryan D Gentzler, Laura E Barnes

Abstract read
In one paragraph

Article in International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Anna N BaglioneUniversity of Virginia, Charlottesville, VA, USA.
Sarah TolmanUniversity of Virginia, Charlottesville, VA, USA.
Chloe DapaahUniversity of Virginia, Charlottesville, VA, USA.
Danielle JohnsonUniversity of Virginia, Charlottesville, VA, USA.
Kristen J WellsSan Diego State University, San Diego, CA, USA.
Richard D HallUniversity of Virginia, Charlottesville, VA, USA.
Ryan D GentzlerUniversity of Virginia, Charlottesville, VA, USA.
Laura E BarnesUniversity of Virginia, Charlottesville, VA, USA.

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Dina Gould Halme · 1987 to 2026
$72.1M
SCH:INT: Collaborative Research: Multiscale Modeling and Intervention for Improving Long-Term MedicationR01CA239246 · NCI · UNIVERSITY OF VIRGINIA · PI BARNES, LAURA ELIZABETH, GONG, JIAQI · 2019 to 2022
$1.1M
NCI NIH HHS P30 CA044579NCI NIH HHS R01 CA239246
6 · The paper itself

Abstract

In recent years, new treatments have become available which have improved survival rates in lung cancer patients. One promising treatment option is the rapidly growing field of oral targeted therapies, which employs drugs that interfere with specific molecules involved in the growth, progression, and spread of cancer. However, these therapies can cause a variety of symptoms and adverse events that can impair quality of life. mHealth technologies may help individuals with lung cancer better track their side effects and manage medications on a day-to-day basis. However, understanding patients' attitudes toward smart devices such as smartphones, smartwatches, and smart pill bottles, as well as their specific needs when using these devices, is critical before design and deployment studies of medication adherence can be carried out. In this study, we conducted interviews with 9 individuals with stage III-IV lung cancer at a National Cancer Institute-designated comprehensive cancer center in the Mid-Atlantic region of the United States to assess the feasibility of using such devices for managing medication and medication related side-effects. We evaluated patients' attitudes towards the design and function of smart devices and how these devices fit into their daily life. Our results may help clinicians and researchers to co-develop effective mHealth system deployments for side effect and medication management in oncology populations.

Indexed as

cancermedication adherencemHealthside effectsmartphone

Identifiers

PMID40625813
PMCPMC12232912

What OpenQuestion holds

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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.