Thitikorn Nuamek , Peggy Adwoa Nuamah Kwateng , Amelia Payne , Danya Abdulwahid , Claire Barker , Kathryn Banfill , Neil Bayman , Sarah Bowen Jones , Clara Chan , Gerard Gurumurthy , Margaret Harris , Ashley Horne , Jennifer King , Laura Pemberton , Hamid Younus Sheikh , David Thomson , David Woolf , Janelle Yorke , James Price , Corinne Faivre-Finn
{"title":"将电子患者报告结果测量(ePROMs)整合到放疗后患者的个性化随访中。可行性研究","authors":"Thitikorn Nuamek , Peggy Adwoa Nuamah Kwateng , Amelia Payne , Danya Abdulwahid , Claire Barker , Kathryn Banfill , Neil Bayman , Sarah Bowen Jones , Clara Chan , Gerard Gurumurthy , Margaret Harris , Ashley Horne , Jennifer King , Laura Pemberton , Hamid Younus Sheikh , David Thomson , David Woolf , Janelle Yorke , James Price , Corinne Faivre-Finn","doi":"10.1016/j.tipsro.2025.100333","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>There is an unmet need in patient monitoring between the end of radiotherapy and the first follow-up appointment during which patients may experience severe side effects. Personalised follow-up has the potential to tailor healthcare to individual needs. ePROMs enable remote monitoring and identification of those needing earlier intervention.</div></div><div><h3>Purpose</h3><div>To assess the feasibility of integrating ePROMs into personalised follow-up of patients after radiotherapy.</div></div><div><h3>Materials and Methods</h3><div>Patients with lung or head and neck (HN) cancer were enrolled. ePROMs questionnaires, comprising EQ-5D-5L and 14 lung or 19 HN cancer-specific questions adapted from CTCAE v5.0, were sent to patients at eight timepoints: pre-radiotherapy, mid-radiotherapy, end of radiotherapy, weekly for four weeks post-treatment, and first face-to-face follow-up appointment. Upon completion, automated advice was provided based on responses. Grade 2 or above symptoms were escalated to clinicians. Patient feedback was obtained through structured interviews.</div></div><div><h3>Results</h3><div>Over two months, 19 eligible patients (10 lung, 9 HN) were recruited: 13 received concurrent chemoradiotherapy, and six received radiotherapy alone. ePROMs completion rate was 69.1%, ranging from 47.4% to 89.5% at each timepoint. Three patients reported grade 3 or above symptoms on 5 instances during and after radiotherapy. Fourteen patients participated in the interviews: all 14 reported ePROMs were easy to complete, took an acceptable amount of time, and made them feel better supported.</div></div><div><h3>Conclusion</h3><div>Integrating ePROMs into personalised follow-up is feasible and acceptable to patients. ePROMs provide insights into patients’ symptoms during and after radiotherapy, highlighting the need for a tailored approach.</div></div>","PeriodicalId":36328,"journal":{"name":"Technical Innovations and Patient Support in Radiation Oncology","volume":"35 ","pages":"Article 100333"},"PeriodicalIF":2.8000,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrating Electronic Patient-Reported Outcome Measures (ePROMs) into Personalised Follow-up for Patients after Radiotherapy. A Feasibility Study\",\"authors\":\"Thitikorn Nuamek , Peggy Adwoa Nuamah Kwateng , Amelia Payne , Danya Abdulwahid , Claire Barker , Kathryn Banfill , Neil Bayman , Sarah Bowen Jones , Clara Chan , Gerard Gurumurthy , Margaret Harris , Ashley Horne , Jennifer King , Laura Pemberton , Hamid Younus Sheikh , David Thomson , David Woolf , Janelle Yorke , James Price , Corinne Faivre-Finn\",\"doi\":\"10.1016/j.tipsro.2025.100333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>There is an unmet need in patient monitoring between the end of radiotherapy and the first follow-up appointment during which patients may experience severe side effects. Personalised follow-up has the potential to tailor healthcare to individual needs. ePROMs enable remote monitoring and identification of those needing earlier intervention.</div></div><div><h3>Purpose</h3><div>To assess the feasibility of integrating ePROMs into personalised follow-up of patients after radiotherapy.</div></div><div><h3>Materials and Methods</h3><div>Patients with lung or head and neck (HN) cancer were enrolled. ePROMs questionnaires, comprising EQ-5D-5L and 14 lung or 19 HN cancer-specific questions adapted from CTCAE v5.0, were sent to patients at eight timepoints: pre-radiotherapy, mid-radiotherapy, end of radiotherapy, weekly for four weeks post-treatment, and first face-to-face follow-up appointment. Upon completion, automated advice was provided based on responses. Grade 2 or above symptoms were escalated to clinicians. Patient feedback was obtained through structured interviews.</div></div><div><h3>Results</h3><div>Over two months, 19 eligible patients (10 lung, 9 HN) were recruited: 13 received concurrent chemoradiotherapy, and six received radiotherapy alone. ePROMs completion rate was 69.1%, ranging from 47.4% to 89.5% at each timepoint. Three patients reported grade 3 or above symptoms on 5 instances during and after radiotherapy. Fourteen patients participated in the interviews: all 14 reported ePROMs were easy to complete, took an acceptable amount of time, and made them feel better supported.</div></div><div><h3>Conclusion</h3><div>Integrating ePROMs into personalised follow-up is feasible and acceptable to patients. ePROMs provide insights into patients’ symptoms during and after radiotherapy, highlighting the need for a tailored approach.</div></div>\",\"PeriodicalId\":36328,\"journal\":{\"name\":\"Technical Innovations and Patient Support in Radiation Oncology\",\"volume\":\"35 \",\"pages\":\"Article 100333\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Technical Innovations and Patient Support in Radiation Oncology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2405632425000344\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Nursing\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technical Innovations and Patient Support in Radiation Oncology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405632425000344","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Nursing","Score":null,"Total":0}
Integrating Electronic Patient-Reported Outcome Measures (ePROMs) into Personalised Follow-up for Patients after Radiotherapy. A Feasibility Study
Background
There is an unmet need in patient monitoring between the end of radiotherapy and the first follow-up appointment during which patients may experience severe side effects. Personalised follow-up has the potential to tailor healthcare to individual needs. ePROMs enable remote monitoring and identification of those needing earlier intervention.
Purpose
To assess the feasibility of integrating ePROMs into personalised follow-up of patients after radiotherapy.
Materials and Methods
Patients with lung or head and neck (HN) cancer were enrolled. ePROMs questionnaires, comprising EQ-5D-5L and 14 lung or 19 HN cancer-specific questions adapted from CTCAE v5.0, were sent to patients at eight timepoints: pre-radiotherapy, mid-radiotherapy, end of radiotherapy, weekly for four weeks post-treatment, and first face-to-face follow-up appointment. Upon completion, automated advice was provided based on responses. Grade 2 or above symptoms were escalated to clinicians. Patient feedback was obtained through structured interviews.
Results
Over two months, 19 eligible patients (10 lung, 9 HN) were recruited: 13 received concurrent chemoradiotherapy, and six received radiotherapy alone. ePROMs completion rate was 69.1%, ranging from 47.4% to 89.5% at each timepoint. Three patients reported grade 3 or above symptoms on 5 instances during and after radiotherapy. Fourteen patients participated in the interviews: all 14 reported ePROMs were easy to complete, took an acceptable amount of time, and made them feel better supported.
Conclusion
Integrating ePROMs into personalised follow-up is feasible and acceptable to patients. ePROMs provide insights into patients’ symptoms during and after radiotherapy, highlighting the need for a tailored approach.