Evidence map›Paper›PMID 39049290›Full record

ArticleStudies in health technology and informatics2024

Patients' Perceptions of Using Technology for Self-Reporting Cancer Medication Safety Events from Home.

Katie Gahn, Misun Hwang, Youmin Cho, Heidi Mason, Yang Gong, Yun Jiang

Abstract read
In one paragraph

Article in Studies in health technology and informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Katie GahnUniversity of Michigan School of Nursing, Ann Arbor, Michigan, USA.
Misun HwangUniversity of Michigan School of Nursing, Ann Arbor, Michigan, USA.
Youmin ChoUniversity of Michigan School of Nursing, Ann Arbor, Michigan, USA.
Heidi MasonUniversity of Michigan School of Nursing, Ann Arbor, Michigan, USA.
Yang GongThe University of Texas Health Science Center at Houston, Texas, USA.
Yun JiangUniversity of Michigan School of Nursing, Ann Arbor, Michigan, USA.

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

Frequent transitions of care among patients with cancer increase their risks for medication safety events (MSEs). Patients and families need to become "vigilant partners" in MSE self-reporting when transitioning back home. However, limited evidence is available to guide patient and family engagement in preventing and managing MSEs. This study explored patients' perceptions of using technology for MSE self-reporting by interviewing 41 patients with breast, prostate, lung, or colorectal cancer. The findings revealed that patients with cancer perceived technology as convenient and easy to use to address urgent MSE concerns. However, the lack of access to technology and being unconfident in using technology can be barriers to using technology for MSE reporting. Personalized support is needed to facilitate patients' engagement in MSE self-reporting. Factors identified in the study will further support the user-centered design and development of technology systems that can support patients' needs and expectations for medication safety.

Indexed as

NeoplasmsAdverse Drug Reaction Reporting SystemsAgedAntineoplastic AgentsDrug-Related Side Effects and Adverse ReactionsFemaleHumansMaleMedication ErrorsMiddle AgedPatient SafetySelf ReportAntineoplastic Agentsmedication safetypatient engagementpatient-reported outcomestechnology acceptance and use

Identifiers

PMID39049290
PMCPMC11931440

What OpenQuestion holds

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LicenceCC BY-NC
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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.