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Evaluation of a supportive care app for coordinating caring networks: an analysis of the first 19,000 users
BACKGROUND: Major illnesses such as cancer, and other traumatic life events, can lead to sudden increases in supportive care needs. This study aimed to describe engagement, acceptability and satisfaction with a supportive care networking app under real-world conditions. METHODS: A total of 10,952 in...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229897/ https://www.ncbi.nlm.nih.gov/pubmed/37266027 http://dx.doi.org/10.3389/fdgth.2023.1063277 |
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author | Singh, Ben Palmer, Susan Maher, Carol |
author_facet | Singh, Ben Palmer, Susan Maher, Carol |
author_sort | Singh, Ben |
collection | PubMed |
description | BACKGROUND: Major illnesses such as cancer, and other traumatic life events, can lead to sudden increases in supportive care needs. This study aimed to describe engagement, acceptability and satisfaction with a supportive care networking app under real-world conditions. METHODS: A total of 10,952 individuals used the app during the study period (2018–2022). The app is designed to enable “captains” to assemble a network of friends and family members to provide timely, and individually tailored, supportive care (including assistance with tasks such as taking children to school, cooking meals, grocery shopping, and transport to appointments). Engagement was determined from server data, whilst acceptability and satisfaction were captured using purposed-designed surveys. RESULTS: Users were mostly female (76%) and aged between 30 and 49 years (61%). The most common reason for using the app was sudden illness (web: 81%; mobile: 64%). An average of 42 tasks were requested per network, with a 32% acceptance rate. Significantly more tasks were requested (web: 52.2 tasks per network; mobile: 31.7 tasks per network; p < 0.001) and accepted (web: 43.2%; mobile: 20.2%; p < 0.001) in the web app vs. the mobile app. Task requests in the web app most commonly related to food (43% of requested tasks), social (15% of requested tasks) and children (13% of requested tasks). The task acceptance rate differed by task categories (p < 0.001), with tasks relating to transport, medical appointments and children accepted at the highest rates (56%, 52% and 49%, respectively). Acceptability and satisfaction data suggested that the app was well received and overall, participants were satisfied with the app. CONCLUSION: Findings suggested that this support care networking app achieved widespread uptake for a wide variety of supportive care tasks. Future research focused on optimizing engagement with the mobile app and examining the effectiveness of the app for improving patient and hospital outcomes is warranted. |
format | Online Article Text |
id | pubmed-10229897 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102298972023-06-01 Evaluation of a supportive care app for coordinating caring networks: an analysis of the first 19,000 users Singh, Ben Palmer, Susan Maher, Carol Front Digit Health Digital Health BACKGROUND: Major illnesses such as cancer, and other traumatic life events, can lead to sudden increases in supportive care needs. This study aimed to describe engagement, acceptability and satisfaction with a supportive care networking app under real-world conditions. METHODS: A total of 10,952 individuals used the app during the study period (2018–2022). The app is designed to enable “captains” to assemble a network of friends and family members to provide timely, and individually tailored, supportive care (including assistance with tasks such as taking children to school, cooking meals, grocery shopping, and transport to appointments). Engagement was determined from server data, whilst acceptability and satisfaction were captured using purposed-designed surveys. RESULTS: Users were mostly female (76%) and aged between 30 and 49 years (61%). The most common reason for using the app was sudden illness (web: 81%; mobile: 64%). An average of 42 tasks were requested per network, with a 32% acceptance rate. Significantly more tasks were requested (web: 52.2 tasks per network; mobile: 31.7 tasks per network; p < 0.001) and accepted (web: 43.2%; mobile: 20.2%; p < 0.001) in the web app vs. the mobile app. Task requests in the web app most commonly related to food (43% of requested tasks), social (15% of requested tasks) and children (13% of requested tasks). The task acceptance rate differed by task categories (p < 0.001), with tasks relating to transport, medical appointments and children accepted at the highest rates (56%, 52% and 49%, respectively). Acceptability and satisfaction data suggested that the app was well received and overall, participants were satisfied with the app. CONCLUSION: Findings suggested that this support care networking app achieved widespread uptake for a wide variety of supportive care tasks. Future research focused on optimizing engagement with the mobile app and examining the effectiveness of the app for improving patient and hospital outcomes is warranted. Frontiers Media S.A. 2023-05-17 /pmc/articles/PMC10229897/ /pubmed/37266027 http://dx.doi.org/10.3389/fdgth.2023.1063277 Text en © 2023 Singh, Palmer and Maher. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Digital Health Singh, Ben Palmer, Susan Maher, Carol Evaluation of a supportive care app for coordinating caring networks: an analysis of the first 19,000 users |
title | Evaluation of a supportive care app for coordinating caring networks: an analysis of the first 19,000 users |
title_full | Evaluation of a supportive care app for coordinating caring networks: an analysis of the first 19,000 users |
title_fullStr | Evaluation of a supportive care app for coordinating caring networks: an analysis of the first 19,000 users |
title_full_unstemmed | Evaluation of a supportive care app for coordinating caring networks: an analysis of the first 19,000 users |
title_short | Evaluation of a supportive care app for coordinating caring networks: an analysis of the first 19,000 users |
title_sort | evaluation of a supportive care app for coordinating caring networks: an analysis of the first 19,000 users |
topic | Digital Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229897/ https://www.ncbi.nlm.nih.gov/pubmed/37266027 http://dx.doi.org/10.3389/fdgth.2023.1063277 |
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