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Mobile-Health Tool to Improve Care of Patients with Hematological Malignancies

INTRODUCTION Adverse effects are common during treatment of hematological malignancies. Treatment toxicities can impact quality of life [1], impose financial hardship and cause cancer related distress[2]. Symptom monitoring using electronic technology can facilitate early detection of complications[...

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Autores principales: Sanyal, Amit, Heun, James M., Sweeney, Jessica, Janssen, Clemens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Hematology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338790/
http://dx.doi.org/10.1182/blood-2020-143405
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author Sanyal, Amit
Heun, James M.
Sweeney, Jessica
Janssen, Clemens
author_facet Sanyal, Amit
Heun, James M.
Sweeney, Jessica
Janssen, Clemens
author_sort Sanyal, Amit
collection PubMed
description INTRODUCTION Adverse effects are common during treatment of hematological malignancies. Treatment toxicities can impact quality of life [1], impose financial hardship and cause cancer related distress[2]. Symptom monitoring using electronic technology can facilitate early detection of complications[3], reduce symptom burden[4], cost of care[5] and improve survival[6]. Cancer treatment also increases risk of mortality from infections such as coronavirus disease 2019 (COVID-19) and routine screening has been recommended[7]. METHODS We developed an application that periodically delivers toxicity questionnaires to patients during treatment . Based on NCI- PRO-CTCAE™, the questions are delivered through SMS or e-mail. Patient responses crossing prespecified thresholds trigger automated alerts on a dashboard, resulting in additional interventions as needed. Nature and time to intervention is tracked. Patient experience is measured using a Likert-scale and free-text box. Centers for Disease Control recommended COVID-19 screening questions were incorporated. Finally, a distress thermometer for cancer distress screening has been recently added. The app was offered to patients with hematological cancers in a community-based cancer center. RESULTS Since introduction in April 2020, we have enrolled 37 patients. 9 patients had chronic lymphocytic leukemia, 6 diffuse large B cell, 5 mantle cell, 4 Hodgkin's and 3 follicular lymphoma. 2 each had chronic myelogenous, multiple myeloma and Richter's syndrome. 1 each had hairy cell leukemia, acute myelogenous leukemia and T Cell lymphoma. Median age was 64 years (range 24-85). Patient experience has been favorable. On a scale of 1-5, 85.5% rated the experience as 3 or higher. Median patient engagement, calculated by dividing the number of forms completions by number of days enrolled was 34.2% (0.9-66.2 %). Symptom tracker captured 536 responses. Fatigue (153), no symptoms (152), shortness of breath (57), nausea/vomiting, diarrhea (46) and numbness/tingling (28) were the most common response categories. Of 1107 completed check ins, 75 triggered flags. There were 2 hospitalizations for neutropenic fever with the remainder managed as outpatients. Average time between patient generated response and provider intervention was 90.9 minutes. 88% follow-ups were completed within 1 business day. COVID-19 screening module captured 1096 responses. 988 were no symptoms. All positive responses (44 diarrhea, 39 cough, 23 shortness of breath and 2 fever) were false positives. Distress thermometer implemented a week before data cut-off captured 2 responses, 1 in the physical and 1 in the psychological domain. CONCLUSION We demonstrate feasibility of electronic capture of treatment toxicities and offer proof of concept that a mobile app can be used for infection screening. Additionally, the quick response time by care team indicated a high adoption rate. : 1. Doorduijn J, B.I., Holt B, Steijaert M, Uyl-de Groot C, Sonneveld P., Self-reported quality of life in elderly patients with aggressive non-Hodgkin's lymphoma treated with CHOP chemotherapy. . European Journal of Hemtology 2005. 75(2): p. 116-123. 2. Troy JD, L.S., Samsa GP, Feliciano J, Richhariya A, LeBlanc TW., Patient-reported distress in Hodgkin lymphoma across the survivorship continuum. Supportive Care Cancer, 2019. 27(7): p. 2453-2462. 3. Stover A M, H.S., Deal A M, Stricker C T, Bennett A V, Carr P M, Jansen J, Kottschade L A, Dueck A C, Basch E M, Methods for alerting clinicians to concerning symptom questionnaire responses during cancer care: Approaches from two randomized trials (STAR, AFT-39 PRO-TECT). Journal of Clinical Oncology 2018. 36(30 supplement): p. 158. 4. Mooney KH, B.S., Wong B, Whisenant M, Donaldson G, Automated home monitoring and management of patient-reported symptoms during chemotherapy: results of the symptom care at home RCT. Cancer Medicine, 2017. 6(3): p. 537-546. 5. Barkley R, S.M.-J., Wang J, Blau S, Page RD, Reducing Cancer Costs Through Symptom Management and Triage Pathways. Journal of Oncology Practice, 2019. 15(2): p. e91-e97. 6. Denis F, B.E., Septans AL, Urban T, Dueck AC, Letellier C., Two-Year Survival Comparing Web-Based Symptom Monitoring vs Routine Surveillance Following Treatment for Lung Cancer. JAMA, 2019. 321(3): p. 306-307. 7. ASCO Special Report: A guide to cancer care delivery during COVID-19 pandemic. 2020, ASCO: Alexandria, VA. DISCLOSURES: Janssen:wellbe Inc.: Current Employment.
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spelling pubmed-93387902022-08-01 Mobile-Health Tool to Improve Care of Patients with Hematological Malignancies Sanyal, Amit Heun, James M. Sweeney, Jessica Janssen, Clemens Blood 902.Health Services Research-Malignant Conditions (Lymphoid Disease) INTRODUCTION Adverse effects are common during treatment of hematological malignancies. Treatment toxicities can impact quality of life [1], impose financial hardship and cause cancer related distress[2]. Symptom monitoring using electronic technology can facilitate early detection of complications[3], reduce symptom burden[4], cost of care[5] and improve survival[6]. Cancer treatment also increases risk of mortality from infections such as coronavirus disease 2019 (COVID-19) and routine screening has been recommended[7]. METHODS We developed an application that periodically delivers toxicity questionnaires to patients during treatment . Based on NCI- PRO-CTCAE™, the questions are delivered through SMS or e-mail. Patient responses crossing prespecified thresholds trigger automated alerts on a dashboard, resulting in additional interventions as needed. Nature and time to intervention is tracked. Patient experience is measured using a Likert-scale and free-text box. Centers for Disease Control recommended COVID-19 screening questions were incorporated. Finally, a distress thermometer for cancer distress screening has been recently added. The app was offered to patients with hematological cancers in a community-based cancer center. RESULTS Since introduction in April 2020, we have enrolled 37 patients. 9 patients had chronic lymphocytic leukemia, 6 diffuse large B cell, 5 mantle cell, 4 Hodgkin's and 3 follicular lymphoma. 2 each had chronic myelogenous, multiple myeloma and Richter's syndrome. 1 each had hairy cell leukemia, acute myelogenous leukemia and T Cell lymphoma. Median age was 64 years (range 24-85). Patient experience has been favorable. On a scale of 1-5, 85.5% rated the experience as 3 or higher. Median patient engagement, calculated by dividing the number of forms completions by number of days enrolled was 34.2% (0.9-66.2 %). Symptom tracker captured 536 responses. Fatigue (153), no symptoms (152), shortness of breath (57), nausea/vomiting, diarrhea (46) and numbness/tingling (28) were the most common response categories. Of 1107 completed check ins, 75 triggered flags. There were 2 hospitalizations for neutropenic fever with the remainder managed as outpatients. Average time between patient generated response and provider intervention was 90.9 minutes. 88% follow-ups were completed within 1 business day. COVID-19 screening module captured 1096 responses. 988 were no symptoms. All positive responses (44 diarrhea, 39 cough, 23 shortness of breath and 2 fever) were false positives. Distress thermometer implemented a week before data cut-off captured 2 responses, 1 in the physical and 1 in the psychological domain. CONCLUSION We demonstrate feasibility of electronic capture of treatment toxicities and offer proof of concept that a mobile app can be used for infection screening. Additionally, the quick response time by care team indicated a high adoption rate. : 1. Doorduijn J, B.I., Holt B, Steijaert M, Uyl-de Groot C, Sonneveld P., Self-reported quality of life in elderly patients with aggressive non-Hodgkin's lymphoma treated with CHOP chemotherapy. . European Journal of Hemtology 2005. 75(2): p. 116-123. 2. Troy JD, L.S., Samsa GP, Feliciano J, Richhariya A, LeBlanc TW., Patient-reported distress in Hodgkin lymphoma across the survivorship continuum. Supportive Care Cancer, 2019. 27(7): p. 2453-2462. 3. Stover A M, H.S., Deal A M, Stricker C T, Bennett A V, Carr P M, Jansen J, Kottschade L A, Dueck A C, Basch E M, Methods for alerting clinicians to concerning symptom questionnaire responses during cancer care: Approaches from two randomized trials (STAR, AFT-39 PRO-TECT). Journal of Clinical Oncology 2018. 36(30 supplement): p. 158. 4. Mooney KH, B.S., Wong B, Whisenant M, Donaldson G, Automated home monitoring and management of patient-reported symptoms during chemotherapy: results of the symptom care at home RCT. Cancer Medicine, 2017. 6(3): p. 537-546. 5. Barkley R, S.M.-J., Wang J, Blau S, Page RD, Reducing Cancer Costs Through Symptom Management and Triage Pathways. Journal of Oncology Practice, 2019. 15(2): p. e91-e97. 6. Denis F, B.E., Septans AL, Urban T, Dueck AC, Letellier C., Two-Year Survival Comparing Web-Based Symptom Monitoring vs Routine Surveillance Following Treatment for Lung Cancer. JAMA, 2019. 321(3): p. 306-307. 7. ASCO Special Report: A guide to cancer care delivery during COVID-19 pandemic. 2020, ASCO: Alexandria, VA. DISCLOSURES: Janssen:wellbe Inc.: Current Employment. American Society of Hematology 2020-11-05 2021-12-14 /pmc/articles/PMC9338790/ http://dx.doi.org/10.1182/blood-2020-143405 Text en Copyright © 2020 American Society of Hematology. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle 902.Health Services Research-Malignant Conditions (Lymphoid Disease)
Sanyal, Amit
Heun, James M.
Sweeney, Jessica
Janssen, Clemens
Mobile-Health Tool to Improve Care of Patients with Hematological Malignancies
title Mobile-Health Tool to Improve Care of Patients with Hematological Malignancies
title_full Mobile-Health Tool to Improve Care of Patients with Hematological Malignancies
title_fullStr Mobile-Health Tool to Improve Care of Patients with Hematological Malignancies
title_full_unstemmed Mobile-Health Tool to Improve Care of Patients with Hematological Malignancies
title_short Mobile-Health Tool to Improve Care of Patients with Hematological Malignancies
title_sort mobile-health tool to improve care of patients with hematological malignancies
topic 902.Health Services Research-Malignant Conditions (Lymphoid Disease)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338790/
http://dx.doi.org/10.1182/blood-2020-143405
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