Evidence map›Paper›PMID 28570285›Full record

ArticleComputers, informatics, nursing : CIN2017

SymptomCare@Home: Developing an Integrated Symptom Monitoring and Management System for Outpatients Receiving Chemotherapy.

Susan L Beck, Linda H Eaton, Christina Echeverria, Kathi H Mooney

Abstract read
In one paragraph

Article in Computers, informatics, nursing : CIN, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. 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
  5. Trial
  6. Trial
  7. 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
  8. Trial
  9. 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
  10. Trial
  11. Article
  12. A smart pill bottle and text messaging intervention for promoting medication adherence in patients with chronic myeloid leukemia: a pilot study of txt4 TKI.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  13. Review
  14. Article
  15. Review
  16. Role of smartphone devices in precision oncology.Journal of cancer research and clinical oncology · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. Article
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.

Susan L BeckAuthor Affiliations: College of Nursing and Huntsman Cancer Institute, University of Utah, Salt Lake City (Drs Beck and Mooney); University of Washington of Nursing, Seattle, WA (Dr Eaton); and College of Nursing, University of Utah, Salt Lake City (Ms Echeverria).
Linda H Eaton
Christina Echeverria
Kathi H Mooney

Funding

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
TELEPHONE LINKED CARE FOR CANCER SYMPTOM MANAGEMENTR01CA089474 · NCI · UNIVERSITY OF UTAH · PI MOONEY, KATHLEEN H · 2001 to 2003
$1.5M
NCI NIH HHS R01 CA089474NCI NIH HHS R01 CA120558NINR NIH HHS T32 NR013456
6 · The paper itself

Abstract

SymptomCare@Home, an integrated symptom monitoring and management system, was designed as part of randomized clinical trials to help patients with cancer who receive chemotherapy in ambulatory clinics and often experience significant symptoms at home. An iterative design process was informed by chronic disease management theory and features of assessment and clinical decision support systems used in other diseases. Key stakeholders participated in the design process: nurse scientists, clinical experts, bioinformatics experts, and computer programmers. Especially important was input from end users, patients, and nurse practitioners participating in a series of studies testing the system. The system includes both a patient and clinician interface and fully integrates two electronic subsystems: a telephone computer-linked interactive voice response system and a Web-based Decision Support-Symptom Management System. Key features include (1) daily symptom monitoring, (2) self-management coaching, (3) alerting, and (4) nurse practitioner follow-up. The nurse practitioner is distinctively positioned to provide assessment, education, support, and pharmacologic and nonpharmacologic interventions to intensify management of poorly controlled symptoms at home. SymptomCare@Home is a model for providing telehealth. The system facilitates using evidence-based guidelines as part of a comprehensive symptom management approach. The design process and system features can be applied to other diseases and conditions.

Indexed as

Clinical AlarmsDecision Support TechniquesDrug TherapyHumansNeoplasmsNurse PractitionersOutpatientsProgram DevelopmentSelf CareSoftware DesignSymptom AssessmentTelemedicineTelephone

Identifiers

PMID28570285
PMCPMC5628091

What OpenQuestion holds

Textmetadata
LicenceTDM
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.