Evidence map›Paper›PMID 38178095›Full record

ArticleBMC health services research2024

A pre-implementation examination of barriers and facilitators of an electronic prospective surveillance model for cancer rehabilitation: a qualitative study.

Christian J Lopez, Jennifer M Jones, Kristin L Campbell, Jackie L Bender, Gillian Strudwick, David M Langelier, Tony Reiman, Jonathan Greenland, Sarah E Neil-Sztramko

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
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  4. Barriers and enablers to exercise prehabilitation before breast cancer surgery in an Australian regional health service: patient and clinician perspective.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
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  7. Review
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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

9 authors at 7 institutions in 1 country.

Christian J LopezDepartment of Supportive Care, Princess Margaret Cancer Centre, University Health Network, 200 Elizabeth St, Toronto, ON, M5G 2C4, Canada. Christian.lopez@uhnresearch.ca.
Jennifer M JonesDepartment of Supportive Care, Princess Margaret Cancer Centre, University Health Network, 200 Elizabeth St, Toronto, ON, M5G 2C4, Canada.
Kristin L CampbellDepartment of Physical Therapy, University of British Columbia, Vancouver, Canada.
Jackie L BenderDepartment of Supportive Care, Princess Margaret Cancer Centre, University Health Network, 200 Elizabeth St, Toronto, ON, M5G 2C4, Canada.
Gillian StrudwickInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
David M LangelierDepartment of Supportive Care, Princess Margaret Cancer Centre, University Health Network, 200 Elizabeth St, Toronto, ON, M5G 2C4, Canada.
Tony ReimanDepartment of Oncology, Saint John Regional Hospital, Saint John, Canada.
Jonathan GreenlandFaculty of Medicine, Memorial University of Newfoundland, St John's, Canada.
Sarah E Neil-SztramkoFaculty of Health Sciences, McMaster University, Hamilton, Canada.
Princess Margaret Cancer Centre · CADalhousie University · CADr. H. Bliss Murphy Cancer Centre · CAMcMaster University · CAUniversity Health Network · CAUniversity of British Columbia · CAUniversity of Toronto · CA

Funding

Canadian Cancer Society/Canadian Institutes for Health Research 706699 (CCS), 02022-000 (CIHR)
6 · The paper itself

Abstract

backgroundAn electronic Prospective Surveillance Model (ePSM) uses patient-reported outcomes to monitor symptoms along the cancer pathway for timely identification and treatment. Randomized controlled trials show that ePSMs can effectively manage treatment-related adverse effects. However, an understanding of optimal approaches for implementing these systems into routine cancer care is limited. This study aimed to identify barriers and facilitators prior to the implementation of an ePSM to inform the selection of implementation strategies.

methodsA qualitative study using virtual focus groups and individual interviews was conducted with cancer survivors, oncology healthcare providers, and clinic leadership across four cancer centres in Canada. The Consolidated Framework for Implementation Research (CFIR) guided the interviews and analysis of barriers and facilitators based on five domains (intervention characteristics, individual characteristics, inner setting, outer setting, and process).

resultsWe conducted 13 focus groups and nine individual interviews with 13 patient participants and 56 clinic staff. Of the 39 CFIR constructs, 18 were identified as relevant determinants to the implementation. The adaptability, relative advantage, and complexity of an ePSM emerged as key intervention-level factors that could influence implementation. Knowledge of the system was important at the individual level. Within the inner setting, major determinants were the potential fit of an ePSM with clinical workflows (compatibility) and the resources that could be dedicated to the implementation effort (readiness for implementation). In the outer setting, meeting the needs of patients and the availability of rehabilitation supports were key determinants. Engaging various stakeholders was critical at the process level.

conclusionsImproving the implementation of ePSMs in routine cancer care has the potential to facilitate early identification and management of treatment-related adverse effects, thereby improving quality of life. This study provides insight into important factors that may influence the implementation of an ePSM, which can be used to select appropriate implementation strategies to address these factors.

Indexed as

NeoplasmsPrimary Health CareElectronicsHumansProspective StudiesQualitative ResearchQuality of LifeCancer care deliveryCancer survivorshipCFIReHealthImplementationPatient-reported outcomesProspective surveillance modelRehabilitation

Identifiers

PMID38178095
PMCPMC10768357
OpenAlexW4390588487

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.