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Implementation of electronic prospective surveillance models in cancer care: a scoping review

BACKGROUND: Electronic prospective surveillance models (ePSMs) for cancer rehabilitation include routine monitoring of the development of treatment toxicities and impairments via electronic patient-reported outcomes. Implementing ePSMs to address the knowledge-to-practice gap between the high incide...

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Autores principales: Lopez, Christian J., Teggart, Kylie, Ahmed, Mohammed, Borhani, Anita, Kong, Jeffrey, Fazelzad, Rouhi, Langelier, David M., Campbell, Kristin L., Reiman, Tony, Greenland, Jonathan, Jones, Jennifer M., Neil-Sztramko, Sarah E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134630/
https://www.ncbi.nlm.nih.gov/pubmed/37101231
http://dx.doi.org/10.1186/s13012-023-01265-4
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author Lopez, Christian J.
Teggart, Kylie
Ahmed, Mohammed
Borhani, Anita
Kong, Jeffrey
Fazelzad, Rouhi
Langelier, David M.
Campbell, Kristin L.
Reiman, Tony
Greenland, Jonathan
Jones, Jennifer M.
Neil-Sztramko, Sarah E.
author_facet Lopez, Christian J.
Teggart, Kylie
Ahmed, Mohammed
Borhani, Anita
Kong, Jeffrey
Fazelzad, Rouhi
Langelier, David M.
Campbell, Kristin L.
Reiman, Tony
Greenland, Jonathan
Jones, Jennifer M.
Neil-Sztramko, Sarah E.
author_sort Lopez, Christian J.
collection PubMed
description BACKGROUND: Electronic prospective surveillance models (ePSMs) for cancer rehabilitation include routine monitoring of the development of treatment toxicities and impairments via electronic patient-reported outcomes. Implementing ePSMs to address the knowledge-to-practice gap between the high incidence of impairments and low uptake of rehabilitation services is a top priority in cancer care. METHODS: We conducted a scoping review to understand the state of the evidence concerning the implementation of ePSMs in oncology. Seven electronic databases were searched from inception to February 2021. All articles were screened and extracted by two independent reviewers. Data regarding the implementation strategies, outcomes, and determinants were extracted. The Expert Recommendations for Implementing Change taxonomy and the implementation outcomes taxonomy guided the synthesis of the implementation strategies and outcomes, respectively. The Consolidated Framework for Implementation Research guided the synthesis of determinants based on five domains (intervention characteristics, individual characteristics, inner setting, outer setting, and process). RESULTS: Of the 5122 records identified, 46 interventions met inclusion criteria. The common implementation strategies employed were “conduct educational meetings,” “distribute educational materials,” “change record systems,” and “intervene with patients to enhance uptake and adherence.” Feasibility and acceptability were the prominent outcomes used to assess implementation. The complexity, relative advantage, design quality, and packaging were major implementation determinants at the intervention level. Knowledge was key at the individual level. At the inner setting level, major determinants were the implementation climate and readiness for implementation. At the outer setting level, meeting the needs of patients was the primary determinant. Engaging various stakeholders was key at the process level. CONCLUSIONS: This review provides a comprehensive summary of what is known concerning the implementation of ePSMs. The results can inform future implementation and evaluation of ePSMs, including planning for key determinants, selecting implementation strategies, and considering outcomes alongside local contextual factors to guide the implementation process. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13012-023-01265-4.
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spelling pubmed-101346302023-04-28 Implementation of electronic prospective surveillance models in cancer care: a scoping review Lopez, Christian J. Teggart, Kylie Ahmed, Mohammed Borhani, Anita Kong, Jeffrey Fazelzad, Rouhi Langelier, David M. Campbell, Kristin L. Reiman, Tony Greenland, Jonathan Jones, Jennifer M. Neil-Sztramko, Sarah E. Implement Sci Systematic Review BACKGROUND: Electronic prospective surveillance models (ePSMs) for cancer rehabilitation include routine monitoring of the development of treatment toxicities and impairments via electronic patient-reported outcomes. Implementing ePSMs to address the knowledge-to-practice gap between the high incidence of impairments and low uptake of rehabilitation services is a top priority in cancer care. METHODS: We conducted a scoping review to understand the state of the evidence concerning the implementation of ePSMs in oncology. Seven electronic databases were searched from inception to February 2021. All articles were screened and extracted by two independent reviewers. Data regarding the implementation strategies, outcomes, and determinants were extracted. The Expert Recommendations for Implementing Change taxonomy and the implementation outcomes taxonomy guided the synthesis of the implementation strategies and outcomes, respectively. The Consolidated Framework for Implementation Research guided the synthesis of determinants based on five domains (intervention characteristics, individual characteristics, inner setting, outer setting, and process). RESULTS: Of the 5122 records identified, 46 interventions met inclusion criteria. The common implementation strategies employed were “conduct educational meetings,” “distribute educational materials,” “change record systems,” and “intervene with patients to enhance uptake and adherence.” Feasibility and acceptability were the prominent outcomes used to assess implementation. The complexity, relative advantage, design quality, and packaging were major implementation determinants at the intervention level. Knowledge was key at the individual level. At the inner setting level, major determinants were the implementation climate and readiness for implementation. At the outer setting level, meeting the needs of patients was the primary determinant. Engaging various stakeholders was key at the process level. CONCLUSIONS: This review provides a comprehensive summary of what is known concerning the implementation of ePSMs. The results can inform future implementation and evaluation of ePSMs, including planning for key determinants, selecting implementation strategies, and considering outcomes alongside local contextual factors to guide the implementation process. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13012-023-01265-4. BioMed Central 2023-04-26 /pmc/articles/PMC10134630/ /pubmed/37101231 http://dx.doi.org/10.1186/s13012-023-01265-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Systematic Review
Lopez, Christian J.
Teggart, Kylie
Ahmed, Mohammed
Borhani, Anita
Kong, Jeffrey
Fazelzad, Rouhi
Langelier, David M.
Campbell, Kristin L.
Reiman, Tony
Greenland, Jonathan
Jones, Jennifer M.
Neil-Sztramko, Sarah E.
Implementation of electronic prospective surveillance models in cancer care: a scoping review
title Implementation of electronic prospective surveillance models in cancer care: a scoping review
title_full Implementation of electronic prospective surveillance models in cancer care: a scoping review
title_fullStr Implementation of electronic prospective surveillance models in cancer care: a scoping review
title_full_unstemmed Implementation of electronic prospective surveillance models in cancer care: a scoping review
title_short Implementation of electronic prospective surveillance models in cancer care: a scoping review
title_sort implementation of electronic prospective surveillance models in cancer care: a scoping review
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134630/
https://www.ncbi.nlm.nih.gov/pubmed/37101231
http://dx.doi.org/10.1186/s13012-023-01265-4
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