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Initial development of Supportive care Assessment, Prioritization and Recommendations for Kids (SPARK), a symptom screening and management application

BACKGROUND: We developed Supportive care Prioritization, Assessment and Recommendations for Kids (SPARK), a web-based application designed to facilitate symptom screening by children receiving cancer treatments and access to supportive care clinical practice guidelines primarily by healthcare provid...

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Autores principales: Cook, Sadie, Vettese, Emily, Soman, Dilip, Hyslop, Shannon, Kuczynski, Susan, Spiegler, Brenda, Davis, Hailey, Duong, Nathan, Ou Wai, Stacee, Golabek, Robert, Golabek, Patryk, Antoszek-Rallo, Adam, Schechter, Tal, Lee Dupuis, L., Sung, Lillian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6327501/
https://www.ncbi.nlm.nih.gov/pubmed/30630480
http://dx.doi.org/10.1186/s12911-018-0715-6
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author Cook, Sadie
Vettese, Emily
Soman, Dilip
Hyslop, Shannon
Kuczynski, Susan
Spiegler, Brenda
Davis, Hailey
Duong, Nathan
Ou Wai, Stacee
Golabek, Robert
Golabek, Patryk
Antoszek-Rallo, Adam
Schechter, Tal
Lee Dupuis, L.
Sung, Lillian
author_facet Cook, Sadie
Vettese, Emily
Soman, Dilip
Hyslop, Shannon
Kuczynski, Susan
Spiegler, Brenda
Davis, Hailey
Duong, Nathan
Ou Wai, Stacee
Golabek, Robert
Golabek, Patryk
Antoszek-Rallo, Adam
Schechter, Tal
Lee Dupuis, L.
Sung, Lillian
author_sort Cook, Sadie
collection PubMed
description BACKGROUND: We developed Supportive care Prioritization, Assessment and Recommendations for Kids (SPARK), a web-based application designed to facilitate symptom screening by children receiving cancer treatments and access to supportive care clinical practice guidelines primarily by healthcare providers. The objective was to describe the initial development and evaluation of SPARK from the perspective of children. IMPLEMENTATION: Development and evaluation occurred in three phases: (1) low fidelity focused on functionality, (2) design focused on “look and feel” and (3) high fidelity confirmed functionality and design. Cognitive interviews were conducted with children receiving cancer treatments 8–18 years of age. Evaluation occurred after every five interviews and changes were guided by a Review Panel. Quantitative evaluation included SPARK ease of use and understandability of SPARK reports. RESULTS: The number of children included by phase were: low fidelity (n = 30), design (n = 30) and high fidelity (n = 30). Across phases, the median age was 13.2 (range 8.5 to 18.4) years. During low-fidelity and design phases, iterative refinements to SPARK improved website navigation, usability and likability from the perspective of children and established symptom report design. Among the last 10 children enrolled to high-fidelity testing, all (100%) understood how to complete symptom screening, access reports and interpret reports. Among these 10 respondents, all (100%) found SPARK easy to use and 9 (90%) found SPARK reports were easy to understand. CONCLUSIONS: SPARK is a web-based application which is usable and understandable, and it is now appropriate to use for research. Future efforts will focus on clinical implementation of SPARK.
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spelling pubmed-63275012019-01-15 Initial development of Supportive care Assessment, Prioritization and Recommendations for Kids (SPARK), a symptom screening and management application Cook, Sadie Vettese, Emily Soman, Dilip Hyslop, Shannon Kuczynski, Susan Spiegler, Brenda Davis, Hailey Duong, Nathan Ou Wai, Stacee Golabek, Robert Golabek, Patryk Antoszek-Rallo, Adam Schechter, Tal Lee Dupuis, L. Sung, Lillian BMC Med Inform Decis Mak Software BACKGROUND: We developed Supportive care Prioritization, Assessment and Recommendations for Kids (SPARK), a web-based application designed to facilitate symptom screening by children receiving cancer treatments and access to supportive care clinical practice guidelines primarily by healthcare providers. The objective was to describe the initial development and evaluation of SPARK from the perspective of children. IMPLEMENTATION: Development and evaluation occurred in three phases: (1) low fidelity focused on functionality, (2) design focused on “look and feel” and (3) high fidelity confirmed functionality and design. Cognitive interviews were conducted with children receiving cancer treatments 8–18 years of age. Evaluation occurred after every five interviews and changes were guided by a Review Panel. Quantitative evaluation included SPARK ease of use and understandability of SPARK reports. RESULTS: The number of children included by phase were: low fidelity (n = 30), design (n = 30) and high fidelity (n = 30). Across phases, the median age was 13.2 (range 8.5 to 18.4) years. During low-fidelity and design phases, iterative refinements to SPARK improved website navigation, usability and likability from the perspective of children and established symptom report design. Among the last 10 children enrolled to high-fidelity testing, all (100%) understood how to complete symptom screening, access reports and interpret reports. Among these 10 respondents, all (100%) found SPARK easy to use and 9 (90%) found SPARK reports were easy to understand. CONCLUSIONS: SPARK is a web-based application which is usable and understandable, and it is now appropriate to use for research. Future efforts will focus on clinical implementation of SPARK. BioMed Central 2019-01-10 /pmc/articles/PMC6327501/ /pubmed/30630480 http://dx.doi.org/10.1186/s12911-018-0715-6 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Cook, Sadie
Vettese, Emily
Soman, Dilip
Hyslop, Shannon
Kuczynski, Susan
Spiegler, Brenda
Davis, Hailey
Duong, Nathan
Ou Wai, Stacee
Golabek, Robert
Golabek, Patryk
Antoszek-Rallo, Adam
Schechter, Tal
Lee Dupuis, L.
Sung, Lillian
Initial development of Supportive care Assessment, Prioritization and Recommendations for Kids (SPARK), a symptom screening and management application
title Initial development of Supportive care Assessment, Prioritization and Recommendations for Kids (SPARK), a symptom screening and management application
title_full Initial development of Supportive care Assessment, Prioritization and Recommendations for Kids (SPARK), a symptom screening and management application
title_fullStr Initial development of Supportive care Assessment, Prioritization and Recommendations for Kids (SPARK), a symptom screening and management application
title_full_unstemmed Initial development of Supportive care Assessment, Prioritization and Recommendations for Kids (SPARK), a symptom screening and management application
title_short Initial development of Supportive care Assessment, Prioritization and Recommendations for Kids (SPARK), a symptom screening and management application
title_sort initial development of supportive care assessment, prioritization and recommendations for kids (spark), a symptom screening and management application
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6327501/
https://www.ncbi.nlm.nih.gov/pubmed/30630480
http://dx.doi.org/10.1186/s12911-018-0715-6
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