Evidence map›Paper›PMID 28135050›Full record

Trial reportCancer medicine2017

Automated home monitoring and management of patient-reported symptoms during chemotherapy: results of the symptom care at home RCT.

Kathi H Mooney, Susan L Beck, Bob Wong, William Dunson, Debra Wujcik, Meagan Whisenant, Gary Donaldson

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Cancer medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 9 pooled it
8.1field-weighted citation impact, top 2% 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

118 citing papers in PubMed, 9 syntheses or guidelines pooled it, 209 citations in OpenAlex.

  1. Pooled it
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  3. Effectiveness of mHealth apps on adherence and symptoms to oral anticancer medications: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Pooled it
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  5. Nurse-led telehealth interventions for symptom management in patients with cancer receiving systemic or radiation therapy: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Pooled it
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  10. Trial
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  13. Pairing automated exercise coaching with patient-reported symptom monitoring: A way to nudge exercise uptake during cancer treatment?Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Trial
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  17. Development and evaluation of the Cancer Symptom Management System: Symptom Management Improves your LifE (SMILE)-a randomized controlled trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
    Trial
  18. Chemotherapy-related neuropathic symptom management: a randomized trial of an automated symptom-monitoring system paired with nurse practitioner follow-up.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018
    Trial
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58 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Kathi H MooneyHuntsman Cancer Institute, University of Utah, College of Nursing, Salt Lake City, Utah.ORCID 0000-0003-3371-5646
Susan L BeckHuntsman Cancer Institute, University of Utah, College of Nursing, Salt Lake City, Utah.
Bob WongHuntsman Cancer Institute, University of Utah, College of Nursing, Salt Lake City, Utah.
William DunsonHuntsman Cancer Institute, University of Utah, College of Nursing, Salt Lake City, Utah.
Debra WujcikHuntsman Cancer Institute, University of Utah, College of Nursing, Salt Lake City, Utah.
Meagan WhisenantHuntsman Cancer Institute, University of Utah, College of Nursing, Salt Lake City, Utah.
Gary DonaldsonHuntsman Cancer Institute, University of Utah, College of Nursing, Salt Lake City, Utah.
University of Utah · US

Funding

University of Utah Center for Clinical and Translational ScienceUL1TR001067 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$19.8M
Telephone Linked Care: An IT Enabled Integrated System for Cancer Symptom ReliefR01CA120558 · NCI · UNIVERSITY OF UTAH · PI MOONEY, KATHLEEN H · 2007 to 2012
$5.2M
Interdisciplinary Training in Cancer, Caregiving and End-of-Life CareT32NR013456 · NINR · UNIVERSITY OF UTAH · PI ELLINGTON, LEE A, MOONEY, KATHLEEN H · 2013 to 2022
$3.4M
NCATS NIH HHS UL1 TR001067NCI NIH HHS R01 CA120558NINR NIH HHS T32 NR013456
6 · The paper itself

Abstract

Technology-aided remote interventions for poorly controlled symptoms may improve cancer symptom outcomes. In a randomized controlled trial, the efficacy of an automated symptom management system was tested to determine if it reduced chemotherapy-related symptoms. Prospectively, 358 patients beginning chemotherapy were randomized to the Symptom Care at Home (SCH) intervention (n = 180) or enhanced usual care (UC) (n = 178). Participants called the automated monitoring system daily reporting severity of 11 symptoms. SCH participants received automated self-management coaching and nurse practitioner (NP) telephone follow-up for poorly controlled symptoms. NPs used a guideline-based decision support system. Primary endpoints were symptom severity across all symptoms, and the number of severe, moderate, mild, and no symptom days. A secondary endpoint was individual symptom severity. Mixed effects linear modeling and negative binominal regressions were used to compare SCH with UC. SCH participants had significantly less symptom severity across all symptoms (P < 0.001). On average, the relative symptom burden reduction for SCH participants was 3.59 severity points (P < 0.001), roughly 43% of UC. With a very rapid treatment benefit, SCH participants had significant reductions in severe (67% less) and moderate (39% less) symptom days compared with UC (both P < 0.001). All individual symptoms, except diarrhea, were significantly lower for SCH participants (P < 0.05). Symptom Care at Home dramatically improved symptom outcomes. These results demonstrate that symptoms can be improved through automated home monitoring and follow-up to intensify care for poorly controlled symptoms.

Indexed as

AdultAgedAntineoplastic AgentsDecision Support Systems, ClinicalFemaleHumansLongitudinal StudiesMaleMiddle AgedMonitoring, PhysiologicNeoplasmsNurse's RolePatient SatisfactionSelf CareSelf ReportTelemedicineAntineoplastic AgentsChemotherapydecision support systemseHealthevidence-based clinical practice guidelinespatient-reported outcomessymptom managementtelehealth

Identifiers

PMID28135050
PMCPMC5345623
OpenAlexW2581514510

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.