Charly Huxford, Bella Hwang, Dustin Dunsmuir, Yashodani Pillay, Fredson Tusingwire, Florence Oyella Otim, Beatrice Akello, Aine Ivan Aye Ishebukara, Stefanie K Novakowski, Bernard Opar Toliva, Nathan Kenya-Mugisha, Abner Tagoola, Matthew O Wiens, Niranjan Kissoon, J Mark Ansermino
{"title":"探索乌干达农村地区用于出院后随访和质量改善的双向短信。","authors":"Charly Huxford, Bella Hwang, Dustin Dunsmuir, Yashodani Pillay, Fredson Tusingwire, Florence Oyella Otim, Beatrice Akello, Aine Ivan Aye Ishebukara, Stefanie K Novakowski, Bernard Opar Toliva, Nathan Kenya-Mugisha, Abner Tagoola, Matthew O Wiens, Niranjan Kissoon, J Mark Ansermino","doi":"10.1371/journal.pone.0322969","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Automated messaging through text (SMS) and instant messaging services (IMS) offers low-cost solutions for patient follow-up in resource-constrained contexts. This study aims to evaluate a quality improvement (QI) initiative to improve caregiver response rates to an automated messaging system for post-discharge follow-up of children in rural Uganda.</p><p><strong>Methods: </strong>From June 2022 to June 2024, caregivers of children triaged through the Smart Triage platform at Gulu Regional Referral Hospital were invited to participate in an automated follow-up program. Messages were sent seven days after discharge via SMS and IMS (WhatsApp), prompting caregivers to report if their child had \"improved\" or \"not improved\". Non-responders and \"not improved\" cases were followed up with a phone call from a study nurse. From April 2023 to November 2023, a QI initiative refined the messaging system to improve response rates and a post-QI period then continued the intervention with no changes until June 2024. Response rates were analyzed over three periods: historical (pre-QI, June 2022 - March 2023), QI intervention, and post-QI. Additionally, data on message delivery rates, improvement strategies, and health outcomes were analyzed.</p><p><strong>Results: </strong>Of 6826 participants, 6469 (95%) messages were successfully delivered. Response rates improved from 20% in April 2023 to 40% in June 2024 and remained stable between 33% and 41% during the post-QI period. Compared to the historical period, post-QI response rates were significantly higher (95% CI: 12.5% to 18.2%, p < 0.001). This improvement reflected a statistically significant positive trend during the QI period. Overall, 1856 caregivers responded: 1244 (67%) reported improvement and 612 (33%) reported no improvement. Follow-up phone calls for those \"not improved\" revealed 58 (9%) sought care, 12 (2%) were readmitted, and no deaths occurred. For non-responders, 206 (5%) sought care, 33 (0.7%) were readmitted, and 3 (0.07%) deaths occurred.</p><p><strong>Discussion: </strong>Automated two-way text messages for post-discharge pediatric follow-up yielded high delivery and moderate response rates. Iterative QI efforts increased response rates, highlighting the importance of tailored communication strategies. Automated messages can facilitate timely intervention for high-risk children and enable efficient collection of health outcomes, offering a viable alternative to in-person follow-up in resource-poor settings.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"20 8","pages":"e0322969"},"PeriodicalIF":2.6000,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12338838/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exploring two-way text messages for post-discharge follow-up and quality improvement in rural Uganda.\",\"authors\":\"Charly Huxford, Bella Hwang, Dustin Dunsmuir, Yashodani Pillay, Fredson Tusingwire, Florence Oyella Otim, Beatrice Akello, Aine Ivan Aye Ishebukara, Stefanie K Novakowski, Bernard Opar Toliva, Nathan Kenya-Mugisha, Abner Tagoola, Matthew O Wiens, Niranjan Kissoon, J Mark Ansermino\",\"doi\":\"10.1371/journal.pone.0322969\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Automated messaging through text (SMS) and instant messaging services (IMS) offers low-cost solutions for patient follow-up in resource-constrained contexts. This study aims to evaluate a quality improvement (QI) initiative to improve caregiver response rates to an automated messaging system for post-discharge follow-up of children in rural Uganda.</p><p><strong>Methods: </strong>From June 2022 to June 2024, caregivers of children triaged through the Smart Triage platform at Gulu Regional Referral Hospital were invited to participate in an automated follow-up program. Messages were sent seven days after discharge via SMS and IMS (WhatsApp), prompting caregivers to report if their child had \\\"improved\\\" or \\\"not improved\\\". Non-responders and \\\"not improved\\\" cases were followed up with a phone call from a study nurse. From April 2023 to November 2023, a QI initiative refined the messaging system to improve response rates and a post-QI period then continued the intervention with no changes until June 2024. Response rates were analyzed over three periods: historical (pre-QI, June 2022 - March 2023), QI intervention, and post-QI. Additionally, data on message delivery rates, improvement strategies, and health outcomes were analyzed.</p><p><strong>Results: </strong>Of 6826 participants, 6469 (95%) messages were successfully delivered. Response rates improved from 20% in April 2023 to 40% in June 2024 and remained stable between 33% and 41% during the post-QI period. Compared to the historical period, post-QI response rates were significantly higher (95% CI: 12.5% to 18.2%, p < 0.001). This improvement reflected a statistically significant positive trend during the QI period. Overall, 1856 caregivers responded: 1244 (67%) reported improvement and 612 (33%) reported no improvement. Follow-up phone calls for those \\\"not improved\\\" revealed 58 (9%) sought care, 12 (2%) were readmitted, and no deaths occurred. For non-responders, 206 (5%) sought care, 33 (0.7%) were readmitted, and 3 (0.07%) deaths occurred.</p><p><strong>Discussion: </strong>Automated two-way text messages for post-discharge pediatric follow-up yielded high delivery and moderate response rates. Iterative QI efforts increased response rates, highlighting the importance of tailored communication strategies. Automated messages can facilitate timely intervention for high-risk children and enable efficient collection of health outcomes, offering a viable alternative to in-person follow-up in resource-poor settings.</p>\",\"PeriodicalId\":20189,\"journal\":{\"name\":\"PLoS ONE\",\"volume\":\"20 8\",\"pages\":\"e0322969\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-08-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12338838/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PLoS ONE\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1371/journal.pone.0322969\",\"RegionNum\":3,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PLoS ONE","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1371/journal.pone.0322969","RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Exploring two-way text messages for post-discharge follow-up and quality improvement in rural Uganda.
Introduction: Automated messaging through text (SMS) and instant messaging services (IMS) offers low-cost solutions for patient follow-up in resource-constrained contexts. This study aims to evaluate a quality improvement (QI) initiative to improve caregiver response rates to an automated messaging system for post-discharge follow-up of children in rural Uganda.
Methods: From June 2022 to June 2024, caregivers of children triaged through the Smart Triage platform at Gulu Regional Referral Hospital were invited to participate in an automated follow-up program. Messages were sent seven days after discharge via SMS and IMS (WhatsApp), prompting caregivers to report if their child had "improved" or "not improved". Non-responders and "not improved" cases were followed up with a phone call from a study nurse. From April 2023 to November 2023, a QI initiative refined the messaging system to improve response rates and a post-QI period then continued the intervention with no changes until June 2024. Response rates were analyzed over three periods: historical (pre-QI, June 2022 - March 2023), QI intervention, and post-QI. Additionally, data on message delivery rates, improvement strategies, and health outcomes were analyzed.
Results: Of 6826 participants, 6469 (95%) messages were successfully delivered. Response rates improved from 20% in April 2023 to 40% in June 2024 and remained stable between 33% and 41% during the post-QI period. Compared to the historical period, post-QI response rates were significantly higher (95% CI: 12.5% to 18.2%, p < 0.001). This improvement reflected a statistically significant positive trend during the QI period. Overall, 1856 caregivers responded: 1244 (67%) reported improvement and 612 (33%) reported no improvement. Follow-up phone calls for those "not improved" revealed 58 (9%) sought care, 12 (2%) were readmitted, and no deaths occurred. For non-responders, 206 (5%) sought care, 33 (0.7%) were readmitted, and 3 (0.07%) deaths occurred.
Discussion: Automated two-way text messages for post-discharge pediatric follow-up yielded high delivery and moderate response rates. Iterative QI efforts increased response rates, highlighting the importance of tailored communication strategies. Automated messages can facilitate timely intervention for high-risk children and enable efficient collection of health outcomes, offering a viable alternative to in-person follow-up in resource-poor settings.
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