Development of an integrated model of care for allogeneic stem cell transplantation facilitated by eHealth—the SMILe study

Purpose Allogeneic stem cell transplantation would benefit from re-engineering care towards an integrated eHealth-facilitated care model. With this paper we aim to: ( 1) describe the development of an integrated care model (ICM) in allogeneic S te M -cell-transplantat I on faci L itated by e Health...

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Veröffentlicht in:Supportive care in cancer 2021-12, Vol.29 (12), p.8045-8057
Hauptverfasser: Leppla, Lynn, Schmid, Anja, Valenta, Sabine, Mielke, Juliane, Beckmann, Sonja, Ribaut, Janette, Teynor, Alexandra, Dobbels, Fabienne, Duerinckx, Nathalie, Zeiser, Robert, Engelhardt, Monika, Gerull, Sabine, De Geest, Sabina
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container_end_page 8057
container_issue 12
container_start_page 8045
container_title Supportive care in cancer
container_volume 29
creator Leppla, Lynn
Schmid, Anja
Valenta, Sabine
Mielke, Juliane
Beckmann, Sonja
Ribaut, Janette
Teynor, Alexandra
Dobbels, Fabienne
Duerinckx, Nathalie
Zeiser, Robert
Engelhardt, Monika
Gerull, Sabine
De Geest, Sabina
description Purpose Allogeneic stem cell transplantation would benefit from re-engineering care towards an integrated eHealth-facilitated care model. With this paper we aim to: ( 1) describe the development of an integrated care model (ICM) in allogeneic S te M -cell-transplantat I on faci L itated by e Health (SMILe) by combining implementation, behavioral, and computer science methods (e.g., contextual analysis, Behavior Change Wheel, and user-centered design combined with agile software development); and (2) describe that model’s characteristics and its application in clinical practice. Methods The SMILe intervention’s development consisted of four steps, with implementation science methods informing each: (1) planning its set-up within a theoretical foundation; (2) using behavioral science methods to develop the content; (3) choosing and developing its delivery method (human/technology) using behavioral and computer science methods; and (4) describing its characteristics and application in clinical practice. Results The SMILe intervention is embedded within the eHealth enhanced Chronic Care Model, entailing four self-management intervention modules, targeting monitoring and follow-up of important medical and symptom-related parameters, infection prevention, medication adherence, and physical activity. Interventions are delivered partly face-to-face by a care coordinator embedded within the transplant team, and partly via the SMILeApp that connects patients to the transplant team, who can monitor and rapidly respond to any relevant changes within 1 year post-transplant. Conclusion This paper provides stepwise guidance on how implementation, behavioral, and computer science methods can be used to develop interventions aiming to improve care for stem cell transplant patients in real-world clinical settings. This new care model is currently being tested in a hybrid I effectiveness-implementation trial.
doi_str_mv 10.1007/s00520-021-06328-0
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With this paper we aim to: ( 1) describe the development of an integrated care model (ICM) in allogeneic S te M -cell-transplantat I on faci L itated by e Health (SMILe) by combining implementation, behavioral, and computer science methods (e.g., contextual analysis, Behavior Change Wheel, and user-centered design combined with agile software development); and (2) describe that model’s characteristics and its application in clinical practice. Methods The SMILe intervention’s development consisted of four steps, with implementation science methods informing each: (1) planning its set-up within a theoretical foundation; (2) using behavioral science methods to develop the content; (3) choosing and developing its delivery method (human/technology) using behavioral and computer science methods; and (4) describing its characteristics and application in clinical practice. Results The SMILe intervention is embedded within the eHealth enhanced Chronic Care Model, entailing four self-management intervention modules, targeting monitoring and follow-up of important medical and symptom-related parameters, infection prevention, medication adherence, and physical activity. Interventions are delivered partly face-to-face by a care coordinator embedded within the transplant team, and partly via the SMILeApp that connects patients to the transplant team, who can monitor and rapidly respond to any relevant changes within 1 year post-transplant. Conclusion This paper provides stepwise guidance on how implementation, behavioral, and computer science methods can be used to develop interventions aiming to improve care for stem cell transplant patients in real-world clinical settings. This new care model is currently being tested in a hybrid I effectiveness-implementation trial.</description><identifier>ISSN: 0941-4355</identifier><identifier>EISSN: 1433-7339</identifier><identifier>DOI: 10.1007/s00520-021-06328-0</identifier><identifier>PMID: 34224016</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Analysis ; Cancer ; Clinical medicine ; Computer science ; Hematopoietic Stem Cell Transplantation ; Humans ; Implementation Science ; Intervention ; Medication Adherence ; Medicine ; Medicine &amp; Public Health ; Nursing ; Nursing Research ; Oncology ; Original ; Original Article ; Pain Medicine ; Patient compliance ; Rehabilitation Medicine ; Self-Management ; Stem cell transplantation ; Stem cells ; Telemedicine ; Transplantation</subject><ispartof>Supportive care in cancer, 2021-12, Vol.29 (12), p.8045-8057</ispartof><rights>The Author(s) 2021</rights><rights>2021. The Author(s).</rights><rights>COPYRIGHT 2021 Springer</rights><rights>The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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With this paper we aim to: ( 1) describe the development of an integrated care model (ICM) in allogeneic S te M -cell-transplantat I on faci L itated by e Health (SMILe) by combining implementation, behavioral, and computer science methods (e.g., contextual analysis, Behavior Change Wheel, and user-centered design combined with agile software development); and (2) describe that model’s characteristics and its application in clinical practice. Methods The SMILe intervention’s development consisted of four steps, with implementation science methods informing each: (1) planning its set-up within a theoretical foundation; (2) using behavioral science methods to develop the content; (3) choosing and developing its delivery method (human/technology) using behavioral and computer science methods; and (4) describing its characteristics and application in clinical practice. Results The SMILe intervention is embedded within the eHealth enhanced Chronic Care Model, entailing four self-management intervention modules, targeting monitoring and follow-up of important medical and symptom-related parameters, infection prevention, medication adherence, and physical activity. Interventions are delivered partly face-to-face by a care coordinator embedded within the transplant team, and partly via the SMILeApp that connects patients to the transplant team, who can monitor and rapidly respond to any relevant changes within 1 year post-transplant. Conclusion This paper provides stepwise guidance on how implementation, behavioral, and computer science methods can be used to develop interventions aiming to improve care for stem cell transplant patients in real-world clinical settings. 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With this paper we aim to: ( 1) describe the development of an integrated care model (ICM) in allogeneic S te M -cell-transplantat I on faci L itated by e Health (SMILe) by combining implementation, behavioral, and computer science methods (e.g., contextual analysis, Behavior Change Wheel, and user-centered design combined with agile software development); and (2) describe that model’s characteristics and its application in clinical practice. Methods The SMILe intervention’s development consisted of four steps, with implementation science methods informing each: (1) planning its set-up within a theoretical foundation; (2) using behavioral science methods to develop the content; (3) choosing and developing its delivery method (human/technology) using behavioral and computer science methods; and (4) describing its characteristics and application in clinical practice. Results The SMILe intervention is embedded within the eHealth enhanced Chronic Care Model, entailing four self-management intervention modules, targeting monitoring and follow-up of important medical and symptom-related parameters, infection prevention, medication adherence, and physical activity. Interventions are delivered partly face-to-face by a care coordinator embedded within the transplant team, and partly via the SMILeApp that connects patients to the transplant team, who can monitor and rapidly respond to any relevant changes within 1 year post-transplant. Conclusion This paper provides stepwise guidance on how implementation, behavioral, and computer science methods can be used to develop interventions aiming to improve care for stem cell transplant patients in real-world clinical settings. This new care model is currently being tested in a hybrid I effectiveness-implementation trial.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>34224016</pmid><doi>10.1007/s00520-021-06328-0</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record>
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subjects Analysis
Cancer
Clinical medicine
Computer science
Hematopoietic Stem Cell Transplantation
Humans
Implementation Science
Intervention
Medication Adherence
Medicine
Medicine & Public Health
Nursing
Nursing Research
Oncology
Original
Original Article
Pain Medicine
Patient compliance
Rehabilitation Medicine
Self-Management
Stem cell transplantation
Stem cells
Telemedicine
Transplantation
title Development of an integrated model of care for allogeneic stem cell transplantation facilitated by eHealth—the SMILe study
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