Evidence map›Paper›PMID 36698743›Full record

ArticleContemporary clinical trials communications2023

Addressing metastatic individuals everyday: Rationale and design of the nurse AMIE for Amazon Echo Show trial among metastatic breast cancer patients.

Brett R Gordon, Ling Qiu, Shawna E Doerksen, Bethany Kanski, Abigail Lorenzo, Cristina I Truica, Monali Vasekar, Ming Wang, Renate M Winkels, Saeed Abdullah and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Contemporary clinical trials communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04673019 (Nurse AMIE for Echo Show), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

NCT04673019 nacompletednot on this map

Nurse AMIE for Echo Show: Randomized Control Trial

TypeinterventionalSponsorMilton S. Hershey Medical CenterRan2021 to 2022Enrolled42ConditionsMetastatic Breast CancerArmsNurse AMIE (Addressing Metastatic Individuals Every day)
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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

11 authors.

Brett R GordonPennylvania State University College of Medicine, Hershey, PA, USA.
Ling QiuPennsylvania State University College of Information and Science Technology, University Park, PA, USA.
Shawna E DoerksenPennylvania State University College of Medicine, Hershey, PA, USA.
Bethany KanskiPennylvania State University College of Medicine, Hershey, PA, USA.
Abigail LorenzoPennylvania State University College of Medicine, Hershey, PA, USA.
Cristina I TruicaPennylvania State University College of Medicine, Hershey, PA, USA.
Monali VasekarPennylvania State University College of Medicine, Hershey, PA, USA.
Ming WangPennylvania State University College of Medicine, Hershey, PA, USA.
Renate M WinkelsPennylvania State University College of Medicine, Hershey, PA, USA.
Saeed AbdullahPennsylvania State University College of Information and Science Technology, University Park, PA, USA.
Kathryn H SchmitzPennylvania State University College of Medicine, Hershey, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metastatic Breast Cancer (MBC) patients often feel their symptom-related needs are unmet, despite visiting their doctors up to once a week. Novel approaches are needed to address symptoms without requiring additional appointments. Technology based symptom management approaches to address symptoms have not been well tested. Methods: Nurse AMIE (Addressing Metastatic Individuals Everyday) is a technology based supportive care platform that provides guideline-concordant symptom management interventions in response to patient reported symptoms. We have previously successfully implemented a tablet version of Nurse AMIE. However, some eligible patients chose not to participate because they were overwhelmed by the technology. To address this barrier, we translated the Nurse AMIE platform to the Amazon Echo Show, which allowed for voice-based interactions. Forty-two MBC patients were randomized 1:1 to receive the Nurse AMIE for Echo Show immediately for six months, or to receive the same intervention for three months, after a three month delay. The primary outcome was change in physical distress over three months, and secondary outcomes included feasibility, acceptability, patient reported outcomes and usability. Conclusions: Results from the Nurse AMIE for Echo Show trial will identify the feasibility, acceptability, and preliminary effects of the Nurse AMIE for Echo Show on patient reported outcomes. Untested novel technologies, particularly voice-based artificial intelligence devices may an effective and scalable vehicle through which we can deliver supportive care interventions. Clinicaltrialsgov identifier: NCT04673019.

Indexed as

Breast neoplasmsDigital health interventionsMetastases

Identifiers

PMID36698743
PMCPMC9868339

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Registered trials

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.