Evidence map›Paper›PMID 27821385›Full record

ArticleJMIR research protocols2016

Adjuvant Endocrine Therapy in Breast Cancer: A Novel e-Health Approach in Optimizing Treatment for Seniors (OPTIMUM): A Two-Group Controlled Comparison Pilot Study.

Ari Meguerditchian, Robyn Tamblyn, Sarkis Meterissian, Susan Law, Jaroslav Prchal, Nancy Winslade, Donna Stern

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2016. 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
1.3field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 3 institutions in 1 country.

Ari MeguerditchianClinical and Health Informatics Research Group, McGill University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0003-4798-8135
Robyn TamblynClinical and Health Informatics Research Group, McGill University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0003-0134-6954
Sarkis MeterissianDepartment of Surgery, McGill University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0002-9586-3583
Susan LawDepartment of Family Medicine, McGill University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0001-5196-2267
Jaroslav PrchalDepartment of Oncology, McGill University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0002-1185-4365
Nancy WinsladeDepartment of Medicine, McGill University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0003-4417-3459
Donna SternDepartment of Oncology, St. Mary's Hospital Center, Montreal, QC, Canada.ORCID http://orcid.org/0000-0002-5956-595X
St Mary's Hospital Centre · CAMcGill University · CAMcGill University Health Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn women with hormone receptor positive breast cancer, adjuvant endocrine therapy (AET) is associated with a significant survival advantage. Nonadherence is a particular challenge in older women, even though they stand to benefit the most from AET. Therefore, a novel eHealth tool (OPTIMUM) that integrates real-time analysis of health administrative claims data was developed to provide point-of-care decision support for clinicians.

objectivesThe objectives of the study are to determine the effectiveness of a patient-specific, real-time eHealth alert delivered at point-of-care in reducing rates of AET discontinuation and to understand patient-level factors related to AET discontinuation as well as to assess integration of eHealth alerts regarding deviations from best practices in administration of AET by cancer care teams.

methodsA prospective, 2-group controlled comparison pilot study will be conducted at 2 urban, McGill University-affiliated hospitals, the Royal Victoria Hospital and St. Mary's Hospital. A minimum of 43 patients per study arm will be enrolled through site-level allocation. Follow-up is 1.5 years. Health care professionals at the intervention site will have access to the eHealth tool, which will report to them in real-time medical events with known associations to AET discontinuation, an AET adherence monitor, and a discontinuation alert. Cox proportional hazard ratios with 95% confidence intervals will estimate risks of AET discontinuation. Tests for significance will be 2-sided with a significance level of P<.05.

resultsThis protocol has been approved and funded by the Canadian Institutes of Health Research. The study will evaluate site-level differences between AET discontinuation and AET adherence and assess care team actions at the intervention site. Participant enrollment into this project is expected to start September 2016 with primary data ready to present by June 2018.

conclusionThis study will offer an opportunity to verify the feasibility of integrating an eHealth tool that aims to improve the long-term management of breast cancer in a high-risk population by allowing more timely intervention to prevent or rapidly address AET discontinuation.

Indexed as

administrative claimsaromatase inhibitorsbreast neoplasmshealth carehealth services for the agedmedical informatics applicationsmedication adherencetelemedicine

Identifiers

PMID27821385
PMCPMC5118585
OpenAlexW2556820119

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.