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Naughton MJ, Salani R, Peng J, Lustberg M, DeGraffinreid C, Moon J, Loyan H, Beverly Hery CM, Paskett ED. Feasibility of implementing a text-based symptom-monitoring program of endometrial, ovarian, and breast cancer patients during treatment. Qual Life Res 2020; 30:3241-3254. [PMID: 33052514 PMCID: PMC8528739 DOI: 10.1007/s11136-020-02660-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2020] [Indexed: 12/13/2022]
Abstract
Purpose To evaluate the feasibility of implementing systematic patient symptom monitoring during treatment using a smartphone. Methods Endometrial [n = 50], ovarian [n = 70] and breast [n = 193] cancer patients participated in text-based symptom reporting for up to 12 months. In order to promote equity, patients without a smartphone were provided with a device, with the phone charges paid by program funds. Each month, patients completed the Patient Health Questionnaire (PHQ-9), and 4 single items assessing fatigue, sleep quality, pain, and global quality of life during the past 7 days rated on a 0 (low) –10 (high) scale. Patients’ responses were captured using REDCap, with oncologists receiving monthly feedback. Lay navigators provided assistance to patients with non-medical needs. Results Patients utilizing this voluntary program had an overall mean age of 60.5 (range 26–87), and 85% were non-Hispanic white. iPhones were provided to 42 patients, and navigation services were used by 69 patients. Average adherence with monthly surveys ranged between 75–77%, with breast patients having lower adherence after 5 months. The most commonly reported symptoms across cancer types were moderate levels (scores of 4–7) of fatigue and sleep disturbance. At 6 months, 71–77% of all patients believed the surveys were useful to them and their health care team. Conclusions We established the feasibility of initiating and managing patients in a monthly text-based symptom-monitoring program. The provision of smartphones and patient navigation were unique and vital components of this program.
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Affiliation(s)
- Michelle J Naughton
- Division of Cancer Prevention and Control, College of Medicine, The Ohio State University, 1590 N. High St, Suite 525, Columbus, OH, 43201, USA.
| | - Ritu Salani
- Division of Gynecologic Oncology, School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Juan Peng
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Maryam Lustberg
- Division of Medical Oncology, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Cecilia DeGraffinreid
- Division of Cancer Prevention and Control, College of Medicine, The Ohio State University, 1590 N. High St, Suite 525, Columbus, OH, 43201, USA
| | - Jennifer Moon
- Division of Cancer Prevention and Control, College of Medicine, The Ohio State University, 1590 N. High St, Suite 525, Columbus, OH, 43201, USA
| | - Hibaq Loyan
- Division of Cancer Prevention and Control, College of Medicine, The Ohio State University, 1590 N. High St, Suite 525, Columbus, OH, 43201, USA
| | - Chloe M Beverly Hery
- Division of Cancer Prevention and Control, College of Medicine, The Ohio State University, 1590 N. High St, Suite 525, Columbus, OH, 43201, USA
| | - Electra D Paskett
- Division of Cancer Prevention and Control, College of Medicine, The Ohio State University, 1590 N. High St, Suite 525, Columbus, OH, 43201, USA
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Jones HV, Smith H, Cooksley T, Jones P, Woolley T, Gwyn Murdoch D, Thomas D, Foster B, Wakefield V, Innominato P, Mullard A, Ghosal N, Subbe C. Checklists for Complications During Systemic Cancer Treatment Shared by Patients, Friends, and Health Care Professionals: Prospective Interventional Cohort Study. JMIR Mhealth Uhealth 2020; 8:e19225. [PMID: 32975526 PMCID: PMC7540918 DOI: 10.2196/19225] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 08/09/2020] [Accepted: 08/18/2020] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Advances in cancer management have been associated with an increased incidence of emergency presentations with disease- or treatment-related complications. OBJECTIVE This study aimed to measure the ability of patients and members of their social network to complete checklists for complications of systemic treatment for cancer and examine the impact on patient-centered and health-economic outcomes. METHODS A prospective interventional cohort study was performed to assess the impact of a smartphone app used by patients undergoing systemic cancer therapy and members of their network to monitor for common complications. The app was used by patients, a nominated "safety buddy," and acute oncology services. The control group was made up of patients from the same institution. Measures were based on process (completion of checklists over 60 days), patient experience outcomes (Hospital Anxiety and Depression Scale and the General version of the Functional Assessment of Cancer Therapy at baseline, 1 month, and 2 months) and health-economic outcomes (usage of appointments in primary care and elective and unscheduled hospital admissions). RESULTS At the conclusion of the study, 50 patients had completed 2882 checklists, and their 50 "safety buddies" had completed 318 checklists. Near daily usage was maintained over the 60-day study period. When compared to a cohort of 50 patients with matching disease profiles from the same institution, patients in the intervention group had comparable changes in Hospital Anxiety and Depression Scale and General version of the Functional Assessment of Cancer Therapy. Patients in the Intervention Group required a third (32 vs 97 nights) of the hospital days with overnight stay compared to patients in the Control Group, though the difference was not significant. The question, "I feel safer with the checklist," received a mean score of 4.27 (SD 0.87) on a Likert scale (1-5) for patients and 4.55 (SD 0.65) for family and friends. CONCLUSIONS Patients undergoing treatment for cancer and their close contacts can complete checklists for common complications of systemic treatments and take an active role in systems supporting their own safety. A larger sample size will be needed to assess the impact on clinical outcomes and health economics.
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Affiliation(s)
- Helen V Jones
- Ysbyty Gwynedd, Penrhosgarnedd, Bangor, United Kingdom
| | - Harry Smith
- School of Medicine, Cardiff Univeristy, Cardiff, United Kingdom
| | | | | | - Toby Woolley
- Ysbyty Gwynedd, Penrhosgarnedd, Bangor, United Kingdom
| | | | | | - Betty Foster
- North Wales Cancer Forum, Bangor, United Kingdom
| | | | - Pasquale Innominato
- Ysbyty Gwynedd, Penrhosgarnedd, Bangor, United Kingdom.,Cancer Chronotherapy Team, Warwick Medical School, Coventry, United Kingdom.,European Laboratory U935, Institut National de la Santé et de la Recherche Médicale (INSERM), Paris-Saclay University, Villejuif, France
| | - Anna Mullard
- Ysbyty Gwynedd, Penrhosgarnedd, Bangor, United Kingdom
| | | | - Christian Subbe
- School of Medical Sciences, Bangor University, Bangor, United Kingdom
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Crafoord MT, Fjell M, Sundberg K, Nilsson M, Langius-Eklöf A. Engagement in an Interactive App for Symptom Self-Management during Treatment in Patients With Breast or Prostate Cancer: Mixed Methods Study. J Med Internet Res 2020; 22:e17058. [PMID: 32663140 PMCID: PMC7445604 DOI: 10.2196/17058] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 05/05/2020] [Accepted: 05/20/2020] [Indexed: 12/17/2022] Open
Abstract
Background Using mobile technology for symptom management and self-care can improve patient-clinician communication and clinical outcomes in patients with cancer. The interactive app Interaktor has been shown to reduce symptom burden during cancer treatment. It includes symptom assessment, an alert system for contact with health care professionals, access to self-care advice, and visualization of symptom history. It is essential to understand how digital interventions operate; one approach is to examine engagement by assessing usage and exploring user experiences. Actual usage in relation to the intended use—adherence—is an essential factor of engagement. Objective This study aimed to describe engagement with the Interaktor app among patients with breast or prostate cancer during treatment. Methods Patients from the intervention groups of two separate randomized controlled trials were included: patients with breast cancer receiving neoadjuvant chemotherapy (n=74) and patients with locally advanced prostate cancer receiving treatment with radiotherapy (n=75). The patients reported their symptoms daily. Sociodemographic and clinical data were obtained from baseline questionnaires and medical records. Logged data usage was retrieved from the server and analyzed descriptively and with multiple regression analysis. Telephone interviews were conducted with patients about their perceptions of using the app and analyzed using content analysis. Results The median adherence percentage to daily symptom reporting was 83%. Most patients used the self-care advice and free text message component. Among the patients treated for breast cancer, higher age predicted a lower total number of free text messages sent (P=.04). Among the patients treated for prostate cancer, higher age (P=.01) and higher education level (P=.04), predicted an increase in total views on self-care advice, while higher comorbidity (P=.004) predicted a decrease in total views on self-care advice. Being married or living with a partner predicted a higher adherence to daily symptom reporting (P=.02). Daily symptom reporting created feelings of having continuous contact with health care professionals, being acknowledged, and safe. Being contacted by a nurse after a symptom alert was considered convenient and highly valued. Treatment and time-related aspects influenced engagement. Daily symptom reporting was perceived as particularly meaningful at the beginning of treatment. Requests were made for advice on diet and psychological symptoms, as well as for more comprehensive and detailed information as the patient progressed through treatment. Conclusions Patient engagement in the interactive app Interaktor was high. The app promoted patient participation in their care through continuous and convenient contact with health care professionals. The predictive ability of demographic variables differed between patient groups, but higher age and a higher educational level predicted usage of specific app functions for both patient groups. Patients’ experience of relevance and interactivity influenced their engagement positively.
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Affiliation(s)
- Marie-Therése Crafoord
- Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Maria Fjell
- Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Kay Sundberg
- Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Marie Nilsson
- Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Ann Langius-Eklöf
- Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
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Schwartz G, Darling JO, Mindo M, Damicis L. Management of Adverse Events Associated with Cabozantinib Treatment in Patients with Advanced Hepatocellular Carcinoma. Target Oncol 2020; 15:549-565. [PMID: 32770441 PMCID: PMC7434721 DOI: 10.1007/s11523-020-00736-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Cabozantinib is an oral multikinase inhibitor whose targets include vascular endothelial growth factor receptors, MET, and the TAM family of kinases (TYRO3, AXL, MER). Cabozantinib is approved for patients with advanced hepatocellular carcinoma who have been previously treated with sorafenib, based on improved overall survival and progression-free survival relative to placebo in the phase III CELESTIAL study. During CELESTIAL, the most common adverse events (AEs) experienced by patients receiving cabozantinib included palmar-plantar erythrodysesthesia, fatigue, gastrointestinal-related events, and hypertension. These AEs can significantly impact treatment tolerability and patient quality of life. However, AEs can be effectively managed with supportive care and dose modifications. During CELESTIAL, more than half of the patients receiving cabozantinib required a dose reduction, while the rate of treatment discontinuation due to AEs was low. Here, we review the safety profile of cabozantinib and provide guidance on the prevention and management of the more common AEs, based on current evidence from the literature as well as our clinical experience. We consider the specific challenges faced by clinicians in treating this patient population and discuss factors that may affect exposure and tolerability to cabozantinib.
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Affiliation(s)
- Gabriel Schwartz
- Gastrointestinal Medical Oncology Clinic, University of California San Francisco, 1825 Fourth St, Fourth Floor, San Francisco, CA, 94158, USA.
| | | | - Malori Mindo
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Lucia Damicis
- IRCCS Istituto Clinico Humanitas, Rozzano, Milan, Italy
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Jabaley T, Rizzo P, Grenon N, Sullivan C, Bagley J, Nassif M, Siegel R, Underhill-Blazey M. Chemotherapy Education and Support: A Model for Use in the Ambulatory Care Setting. Clin J Oncol Nurs 2020; 24:E43-E49. [DOI: 10.1188/20.cjon.e43-e49] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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106
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van der Hout A, Jansen F, van Uden-Kraan CF, Coupé VM, Holtmaat K, Nieuwenhuijzen GA, Hardillo JA, de Jong RJB, Tiren-Verbeet NL, Sommeijer DW, de Heer K, Schaar CG, Sedee RJE, Bosscha K, van den Brekel MWM, Petersen JF, Westerman M, Honings J, Takes RP, Houtenbos I, van den Broek WT, de Bree R, Jansen P, Eerenstein SEJ, Leemans CR, Zijlstra JM, Cuijpers P, van de Poll-Franse LV, Verdonck-de Leeuw IM. Cost-utility of an eHealth application 'Oncokompas' that supports cancer survivors in self-management: results of a randomised controlled trial. J Cancer Surviv 2020; 15:77-86. [PMID: 32656739 PMCID: PMC7822793 DOI: 10.1007/s11764-020-00912-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 06/26/2020] [Indexed: 11/29/2022]
Abstract
Purpose The eHealth self-management application ‘Oncokompas’ was developed to support cancer survivors in monitoring health-related quality of life (HRQOL) and symptoms, and obtaining personalized feedback and options for supportive care. The aim of this study was to assess the cost-utility of Oncokompas compared with care as usual (CAU) among cancer survivors. Methods Survivors were randomly allocated to the intervention or control group. Direct (non-)medical, indirect non-medical costs, and HRQOL were measured at 3- and 6-month follow-up, using iMTA Medical Consumption and Productivity Costs and the EuroQol-5D questionnaires. Mean cumulative costs and quality-adjusted life-years (QALYs) were compared between both groups. Results In total, 625 survivors were randomized into intervention (n = 320) or control group (n = 305). Base case analysis showed that incremental costs from a societal perspective were − €163 (95% CI, − 665 to 326), and incremental QALYs were 0.0017 (95% CI, − 0.0121 to 0.0155) in the intervention group compared with those in the control group. The probability that, compared with CAU, Oncokompas is more effective was 60%, less costly 73%, and both more effective and less costly 47%. Sensitivity analyses showed that incremental costs vary between − €40 and €69, and incremental QALYs vary between − 0.0023 and − 0.0057. Conclusion Oncokompas is likely to be equally effective on utilities, and not more expensive than CAU, and will therefore contribute to sustainable cancer survivorship care in a (cost-)effective manner. Implications for Cancer Survivors Oncokompas seems to improve HRQOL and reduces the burden of several tumour-specific symptoms, while costs from a societal perspective are similar to CAU. Electronic supplementary material The online version of this article (10.1007/s11764-020-00912-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- A van der Hout
- Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
- Cancer Center Amsterdam (CCA), Amsterdam UMC, Amsterdam, The Netherlands
| | - F Jansen
- Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
- Cancer Center Amsterdam (CCA), Amsterdam UMC, Amsterdam, The Netherlands
- Department of Otolaryngology - Head and Neck Surgery, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - C F van Uden-Kraan
- Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
- Cancer Center Amsterdam (CCA), Amsterdam UMC, Amsterdam, The Netherlands
| | - V M Coupé
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - K Holtmaat
- Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
- Cancer Center Amsterdam (CCA), Amsterdam UMC, Amsterdam, The Netherlands
- Department of Otolaryngology - Head and Neck Surgery, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - J A Hardillo
- Department of Otolaryngology and Head and Neck Surgery, ErasmusMC Cancer Centre, Erasmus Medical Center, Rotterdam, The Netherlands
| | - R J Baatenburg de Jong
- Department of Otolaryngology and Head and Neck Surgery, ErasmusMC Cancer Centre, Erasmus Medical Center, Rotterdam, The Netherlands
| | - N L Tiren-Verbeet
- Department of Hematology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - D W Sommeijer
- Department of Internal Medicine, Flevoziekenhuis, Almere, The Netherlands
- Department of Medical Oncology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - K de Heer
- Department of Internal Medicine, Flevoziekenhuis, Almere, The Netherlands
- Department of Hematology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - C G Schaar
- Department of Internal Medicine, Gelre ziekenhuis, Apeldoorn, The Netherlands
| | - R J E Sedee
- Department of Otolaryngology, Head and Neck Surgery, Haaglanden MC, The Hague, The Netherlands
| | - K Bosscha
- Department of Surgery, Jeroen Bosch Ziekenhuis, Den Bosch, The Netherlands
| | - M W M van den Brekel
- Department of Head and Neck Oncology and Surgery, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - J F Petersen
- Department of Head and Neck Oncology and Surgery, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - M Westerman
- Department of Hematology, Northwest Clinics, Alkmaar, The Netherlands
| | - J Honings
- Department of Otorhinolaryngology - Head and Neck Surgery, Radboud University Medical Center, Nijmegen, The Netherlands
| | - R P Takes
- Department of Otorhinolaryngology - Head and Neck Surgery, Radboud University Medical Center, Nijmegen, The Netherlands
| | - I Houtenbos
- Department of Hematology, Spaarne Gasthuis, Hoofddorp, The Netherlands
| | | | - R de Bree
- Department of Head and Neck Surgical Oncology, Utrecht University Medical Center, Utrecht, The Netherlands
| | - P Jansen
- Department of Surgery, Elisabeth-TweeSteden Hospital, Tilburg, The Netherlands
| | - S E J Eerenstein
- Cancer Center Amsterdam (CCA), Amsterdam UMC, Amsterdam, The Netherlands
- Department of Otolaryngology - Head and Neck Surgery, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - C R Leemans
- Department of Otolaryngology - Head and Neck Surgery, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - J M Zijlstra
- Cancer Center Amsterdam (CCA), Amsterdam UMC, Amsterdam, The Netherlands
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - P Cuijpers
- Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
| | - L V van de Poll-Franse
- Department of Research, Netherlands Comprehensive Cancer Organisation, Eindhoven, The Netherlands
- Division of Psychosocial Research & Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- CoRPS - Center of Research on Psychological and Somatic disorders, Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands
| | - I M Verdonck-de Leeuw
- Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands.
- Cancer Center Amsterdam (CCA), Amsterdam UMC, Amsterdam, The Netherlands.
- Department of Otolaryngology - Head and Neck Surgery, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
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Moradian S, Krzyzanowska M, Maguire R, Kukreti V, Amir E, Morita PP, Liu G, Howell D. Feasibility randomised controlled trial of remote symptom chemotherapy toxicity monitoring using the Canadian adapted Advanced Symptom Management System (ASyMS-Can): a study protocol. BMJ Open 2020; 10:e035648. [PMID: 32554724 PMCID: PMC7313714 DOI: 10.1136/bmjopen-2019-035648] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION Technology is emerging as a solution to develop home-based, proactive 'real-time' symptom monitoring and management in cancer care. The Advanced Symptom Monitoring and Management System-Canada (ASyMS-Can) is a remote phone-based symptom management system that enables real-time remote monitoring of systemic chemotherapy toxicities. METHODS AND ANALYSIS This study is an open-label, prospective, mixed-method, Phase II, 2-arm parallel group assignment (ASyMS-Can vs usual care) feasibility study in patients with cancer receiving systemic (neo-adjuvant or adjuvant) chemotherapy at Princess Margaret Cancer Centre. A total of 114 patients will be recruited in oncology clinics prior to initiation of chemotherapy. Patients in both arms will complete a demographic and a set of questionnaires at enrolment, mid and end of treatment. Patients in intervention arm will be provided with an encrypted, secure, preprogrammed ASyMS phone for symptom reporting daily for the first 14 days of each chemotherapy treatment cycle up to sixth cycle (16 weeks). Feasibility metrics (recruitment, retention and protocol adherence) and outcomes to assess impact of ASyMS-Can include symptom severity, emotional distress, quality of life and acceptability to patients and clinicians. ETHICS AND DISSEMINATION The study has received ethical and institutional approvals from the University Health Network. Dissemination will include presentations at national/international conferences, and publications in peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT03335189.
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Affiliation(s)
- Saeed Moradian
- School of Nursing, York University Faculty of Health, Toronto, Ontario, Canada
| | - Monika Krzyzanowska
- University of Toronto Institute of Health Policy Management and Evaluation, Toronto, Ontario, Canada
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Roma Maguire
- University of Strathclyde Department of Computer and Information Sciences, Glasgow, UK
| | - Vishal Kukreti
- Division of Medical Oncology and Hematology, University of Toronto Faculty of Medicine, Toronto, Ontario, Canada
| | - Eitan Amir
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Plinio P Morita
- School of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada
| | - Geoffrey Liu
- University Health Network and Princess Margaret Cancer Centre, Toronto, Ontario, Canada
- Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Doris Howell
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
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Ferrua M, Minvielle E, Fourcade A, Lalloué B, Sicotte C, Di Palma M, Mir O. How to Design a Remote Patient Monitoring System? A French Case Study. BMC Health Serv Res 2020; 20:434. [PMID: 32429987 PMCID: PMC7236289 DOI: 10.1186/s12913-020-05293-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 05/05/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Remote Patient Monitoring Systems (RPMS) based on e-health, Nurse Navigators (NNs) and patient engagement can improve patient follow-up and have a positive impact on quality of care (by limiting adverse events) and costs (by reducing readmissions). However, the extent of this impact depends on effective implementation which is often restricted. This is partly due to the lack of attention paid to the RPMS design phase prior to implementation. The content of the RPMS can be carefully designed at this stage and various obstacles anticipated. Our aim was to report on an RPMS design case to provide insights into the methodology required in order to manage this phase. METHODS This study was carried out at Gustave Roussy, a comprehensive cancer centre, in France. A multidisciplinary team coordinated the CAPRI RPMS design process (2013-2015) that later produced positive outcomes. Data were collected during eight studies conducted according to the Medical Research Council (MRC) framework. This project was approved by the French National Data Protection Authorities. RESULTS Based on the study results, the multidisciplinary team defined strategies for resolving obstacles prior to the implementation of CAPRI. Consequently, the final CAPRI design includes a web app with two interfaces (patient and health care professionals) and two NNs. The NNs provide regular follow-up via telephone or email to manage patients' symptoms and toxicity, treatment compliance and care packages. Patients contact the NNs via a secure messaging system. Eighty clinical decision support tools enable NNs to prioritise and decide on the course of action to be taken. CONCLUSION In our experience, the RPMS design process and, more generally, that of any complex intervention programme, is an important phase that requires a sound methodological basis. This study is also consistent with the notion that an RPMS is more than a technological innovation. This is indeed an organizational innovation, and principles identified during the design phase can help in the effective use of a RPMS (e.g. locating NNs if possible within the care organization; recruiting NNs with clinical and managerial skills; defining algorithms for clinical decision support tools for assessment, but also for patient decision and orientation).
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Affiliation(s)
- Marie Ferrua
- Capri program, Research Division, Gustave Roussy, Villejuif, France.
| | - Etienne Minvielle
- Capri program, Research Division, Gustave Roussy, Villejuif, France
- I3, CRG, Ecole Polytechnique, CNRS, Palaiseau, France
| | - Aude Fourcade
- Capri program, Research Division, Gustave Roussy, Villejuif, France
| | | | - Claude Sicotte
- Capri program, Research Division, Gustave Roussy, Villejuif, France
- EHESP, Department of Health Care Management, Rennes, France
| | - Mario Di Palma
- Capri program, Research Division, Gustave Roussy, Villejuif, France
- American Hospital, Neuilly-sur-Seine, France
| | - Olivier Mir
- Capri program, Research Division, Gustave Roussy, Villejuif, France
- Outpatient Department, Gustave Roussy, Villejuif, France
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Advances and future directions in the use of mobile health in supportive cancer care: proceedings of the 2019 MASCC Annual Meeting symposium. Support Care Cancer 2020; 28:4059-4067. [DOI: 10.1007/s00520-020-05513-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Accepted: 05/05/2020] [Indexed: 12/19/2022]
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Abstract
Patients with gynecologic cancers experience better outcomes when treated by specialists and institutions with experience in their diseases. Unfortunately, high-volume centers tend to be located in densely populated regions, leaving many women with geographic barriers to care. Remote management through telemedicine offers the possibility of decreasing these disparities by extending the reach of specialty expertise and minimizing travel burdens. Telemedicine can assist in diagnosis, treatment planning, preoperative and postoperative follow-up, administration of chemotherapy, provision of palliative care, and surveillance. Telemedical infrastructure requires careful consideration of the needs of relevant stakeholders including patients, caregivers, referring clinicians, specialists, and health system administrators.
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Engaging Patients and Clinicians in Online Reporting of Adverse Effects During Chemotherapy for Cancer: The eRAPID System (Electronic Patient Self-Reporting of Adverse Events: Patient Information and aDvice). Med Care 2020; 57 Suppl 5 Suppl 1:S59-S65. [PMID: 30985598 DOI: 10.1097/mlr.0000000000001085] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
INTRODUCTION During cancer treatment the timely detection and management of adverse events is essential for patient safety and maintaining the quality of life. Electronic patient self-Reporting of Adverse events: Patient Information and aDvice (eRAPID) was devised to support oncology practice, by allowing patients to self-report symptoms online at home during and beyond cancer treatment. Fundamentally the eRAPID intervention delivers immediate severity-tailored feedback directly to patients to guide self-management strategies or hospital contact. Patient data are available in electronic health records for hospital staff to access and review as part of clinical assessments. METHODS FOR INTERPRETING AND ADDRESSING PATIENT-REPORTED OUTCOME (PRO) SCORES:: The eRAPID intervention has 5 main interconnecting components (clinical integration into standard care pathways, patient symptom reports, self-management advice, information technology, and staff/patient training). Following guidance for the development of complex interventions and using a mixed methods approach, eRAPID was created through a number of stages and tested in a series of usability settings before undergoing systematic evaluation in a randomized controlled trial. These developmental stages are described here with a focus on how decisions were made to enhance patient and professional engagement with symptom reports and encourage interpretation and clinical utilization of the data. DISCUSSION Clinically embedded PRO interventions involve a number of elements and stakeholders with different requirements. Following extensive developmental work eRAPID was pragmatically designed to fit into current oncology practices for reviewing and managing chemotherapy-related toxicities.
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Brundage MD, Wu AW, Rivera YM, Snyder C. Promoting effective use of patient-reported outcomes in clinical practice: themes from a "Methods Tool kit" paper series. J Clin Epidemiol 2020; 122:153-159. [PMID: 32061828 DOI: 10.1016/j.jclinepi.2020.01.022] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 01/03/2020] [Accepted: 01/16/2020] [Indexed: 10/25/2022]
Abstract
OBJECTIVES "PRO-cision Medicine," using patients' reports of their symptoms, functioning, and well-being to personalize their care, is becoming more prevalent. Patient-reported outcomes (PROs) are assessed using standardized, validated measures. Research shows that clinicians' and patients' understanding of what the PRO scores mean and how to act on them is often suboptimal. Methods to improve interpretation of PRO scores and action based on PRO results can promote more effective use of PROs in practice. STUDY DESIGN AND SETTING A recent supplement to Medical Care describes various approaches to address challenges in interpreting and acting on PROs in practice and therefore serves as a "PRO-cision Medicine Methods Tool kit." This commentary provides an overview of the supplement and identifies cross-cutting themes guided by a theoretical framework. RESULTS Six papers describe methods for interpreting PROs, and eight papers describe how different PRO systems address interpreting PRO scores and/or acting on PRO results. Based on the theoretical framework, cross-cutting themes are described in terms of (1) providing PRO information, (2) using PRO data, (3) screening for problems and monitoring for changes, and (4) changing management and behavior. CONCLUSIONS The PRO-cision Medicine Methods Tool kit provides a useful resource for interpreting and acting on PRO scores to personalize patient care.
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Affiliation(s)
- Michael D Brundage
- Cancer Care and Epidemiology, Queen's Cancer Research Institute, Cancer Center of Southeastern Ontario at Kingston Health Sciences Centre, Queen's University, Kingston, Ontario, Canada.
| | - Albert W Wu
- Johns Hopkins Bloomberg School of Public Health and School of Medicine, Baltimore, MD, USA
| | - Yonaira M Rivera
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Claire Snyder
- Johns Hopkins School of Medicine, Johns Hopkins Bloomberg School of Public Health, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
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Macnair A, Sharkey A, Le Calvez K, Walters R, Smith L, Nelson A, Staffurth J, Williams M, Bloomfield D, Maher J. The Trigger Project: The Challenge of Introducing Electronic Patient-Reported Outcome Measures Into a Radiotherapy Service. Clin Oncol (R Coll Radiol) 2020; 32:e76-e79. [DOI: 10.1016/j.clon.2019.09.044] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 07/26/2019] [Accepted: 08/14/2019] [Indexed: 11/26/2022]
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Leppla L, Mielke J, Kunze M, Mauthner O, Teynor A, Valenta S, Vanhoof J, Dobbels F, Berben L, Zeiser R, Engelhardt M, De Geest S. Clinicians and patients perspectives on follow-up care and eHealth support after allogeneic hematopoietic stem cell transplantation: A mixed-methods contextual analysis as part of the SMILe study. Eur J Oncol Nurs 2020; 45:101723. [PMID: 32062362 DOI: 10.1016/j.ejon.2020.101723] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 01/20/2020] [Indexed: 01/04/2023]
Abstract
PURPOSE We report on our contextual analysis's methodology, as a first step of an implementation science project aiming to develop, implement, and test the effectiveness of an integrated model of care in SteM-cell transplantatIon faciLitated by eHealth (SMILe). METHODS We applied an explanatory sequential mixed-methods design including clinicians and patients of the University Hospital Freiburg, Germany. Data were collected from 3/2017 to 1/2018 via surveys in 5 clinicians and 60 adult allogeneic stem-cell transplantation patients. Subsequently, we conducted 3 clinician focus groups and 10 patient interviews. Data analysis followed a 3-step process: (1) creating narrative descriptions, tables, and maps; (2) mapping key observational findings per dimension of the eHealth-enhanced Chronic-Care Model; (3) reflecting on how findings affect our choice of implementation strategies. RESULTS Current clinical practice is mostly acute care driven, with no interdisciplinarity and weak chronic illness management. Gaps were apparent in the dimensions of self-management support and delivery-system design. Health behaviors that would profit from support include medication adherence, physical activity and infection prevention. The theme "being alone and becoming an expert" underpinned patients need to increase support in hospital-to-home transitions. Patients reported insecurity about recognizing, judging and acting upon symptoms. The theme "eHealth as connection not replacement" underscores the importance of eHealth augmenting, not supplanting human contact. Synthesis of our key observational findings informed eight implementation strategies. CONCLUSION Stakeholders are willing towards a chronic care-focused approach and open for eHealth support. The contextual information provides a basis for the SMILe model's development and implementation.
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Affiliation(s)
- Lynn Leppla
- Institute of Nursing Science, Department Public Health, University of Basel, Switzerland; Department of Medicine I, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Juliane Mielke
- Institute of Nursing Science, Department Public Health, University of Basel, Switzerland
| | - Maria Kunze
- Department of Medicine I, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany; Department of Psychiatry and Psychotherapy, University of Freiburg, Germany
| | - Oliver Mauthner
- Institute of Nursing Science, Department Public Health, University of Basel, Switzerland
| | - Alexandra Teynor
- University of Applied Sciences Augsburg, Faculty of Computer Science, Germany
| | - Sabine Valenta
- Institute of Nursing Science, Department Public Health, University of Basel, Switzerland; Department of Hematology, University Hospital Basel, Switzerland
| | - Jasper Vanhoof
- Academic Centre for Nursing and Midwifery, Department of Public Health and Primary Care, KU Leuven, Belgium; Nursing Center of Excellence, University Psychiatric Center, KU Leuven, Belgium
| | - Fabienne Dobbels
- Institute of Nursing Science, Department Public Health, University of Basel, Switzerland; Academic Centre for Nursing and Midwifery, Department of Public Health and Primary Care, KU Leuven, Belgium
| | - Lut Berben
- Institute of Nursing Science, Department Public Health, University of Basel, Switzerland
| | - Robert Zeiser
- Department of Medicine I, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Monika Engelhardt
- Department of Medicine I, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Sabina De Geest
- Institute of Nursing Science, Department Public Health, University of Basel, Switzerland; Academic Centre for Nursing and Midwifery, Department of Public Health and Primary Care, KU Leuven, Belgium.
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van der Hout A, van Uden-Kraan CF, Holtmaat K, Jansen F, Lissenberg-Witte BI, Nieuwenhuijzen GAP, Hardillo JA, Baatenburg de Jong RJ, Tiren-Verbeet NL, Sommeijer DW, de Heer K, Schaar CG, Sedee RJE, Bosscha K, van den Brekel MWM, Petersen JF, Westerman M, Honings J, Takes RP, Houtenbos I, van den Broek WT, de Bree R, Jansen P, Eerenstein SEJ, Leemans CR, Zijlstra JM, Cuijpers P, van de Poll-Franse LV, Verdonck-de Leeuw IM. Role of eHealth application Oncokompas in supporting self-management of symptoms and health-related quality of life in cancer survivors: a randomised, controlled trial. Lancet Oncol 2020; 21:80-94. [DOI: 10.1016/s1470-2045(19)30675-8] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 09/20/2019] [Accepted: 09/23/2019] [Indexed: 12/27/2022]
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Jordan S, Banner T, Gabe-Walters M, Mikhail JM, Panes G, Round J, Snelgrove S, Storey M, Hughes D, on behalf of the Medicines’ Management Group, Swansea University. Nurse-led medicines' monitoring in care homes, implementing the Adverse Drug Reaction (ADRe) Profile improvement initiative for mental health medicines: An observational and interview study. PLoS One 2019; 14:e0220885. [PMID: 31509537 PMCID: PMC6738583 DOI: 10.1371/journal.pone.0220885] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Accepted: 07/25/2019] [Indexed: 11/28/2022] Open
Abstract
Introduction Preventable adverse effects of medicines often pass unnoticed, but lead to real harm. Intervention Nurse-led monitoring using the structured Adverse Drug Reaction (ADRe) Profile identifies and addresses adverse effects of mental health medicines. Objectives This study investigated the implementation and clinical impact of ADRe, and barriers to and facilitators of sustained utilisation in routine practice. Methods Administration of ADRe was observed for 30 residents prescribed mental health medicines in ten care homes. The study pharmacist reviewed completed ADRes against medication records. Policy context was explored in 30 interviews with service users, nurse managers and strategic leads in Wales. Results Residents were aged 60–95, and prescribed 1–17 (median 9 [interquartile range (IQR) 7–13]) medicines. ADRe identified a median of 18 [IQR 11.5–23] problems per resident and nurses made 2 [1–2] changes to care per resident. For example: falls were reported for 9 residents, and care was modified for 5; pain was identified in 8 residents, and alleviated for 7; all 6 residents recognised as dyspnoeic were referred to prescribers. Nurses referred 17 of 30 residents to prescribers. Pharmacists recommended review for all 30. Doubts about administering ADRe, sometimes expressed by people who had not yet used it, diminished as it became familiar. ADRe was needed to bridge communication between resident, nurses and prescribers. When barriers of time, complacency, and doctors’ non-availability were overcome, reporting with ADRe made prescribers more likely to heed nurses’ concerns regarding residents’ welfare. Clinical gains were facilitated by one-to-one time, staff-resident relationships, and unification of documentation. Implications To our knowledge, ADRe is the only instrument that brings a full account of patients’ problems to medication reviews. This juxtaposition of signs and symptoms against prescriptions facilitates dose adjustments and de-prescribing and leads to: reduced pain and sedation; early identification of problems linked to ADRs, such as falls; and timely medication reviews e.g. for dyspnoea.
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Affiliation(s)
- Sue Jordan
- College of Human and Health Sciences, Swansea University, Swansea, Wales, United Kingdom
- * E-mail:
| | - Timothy Banner
- College of Human and Health Sciences, Swansea University, Swansea, Wales, United Kingdom
- Cardiff and Vale University Health Board, Wales, United Kingdom
| | | | - Jane M. Mikhail
- College of Human and Health Sciences, Swansea University, Swansea, Wales, United Kingdom
| | - Gerwyn Panes
- College of Human and Health Sciences, Swansea University, Swansea, Wales, United Kingdom
| | - Jeff Round
- Institute of Health Economics, Edmonton, Alberta, Canada
| | - Sherrill Snelgrove
- College of Human and Health Sciences, Swansea University, Swansea, Wales, United Kingdom
| | - Mel Storey
- College of Human and Health Sciences, Swansea University, Swansea, Wales, United Kingdom
- Hywel Dda University Health Board, Wales, United Kingdom
| | - David Hughes
- College of Human and Health Sciences, Swansea University, Swansea, Wales, United Kingdom
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Krzyzanowska MK, Julian JA, Powis M, Howell D, Earle CC, Enright KA, Mittmann N, Trudeau ME, Grunfeld E. Ambulatory Toxicity Management (AToM) in patients receiving adjuvant or neo-adjuvant chemotherapy for early stage breast cancer - a pragmatic cluster randomized trial protocol. BMC Cancer 2019; 19:884. [PMID: 31488084 PMCID: PMC6729066 DOI: 10.1186/s12885-019-6099-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 08/27/2019] [Indexed: 01/16/2023] Open
Abstract
Background Population-based studies suggest that emergency department visits and hospitalizations are common among patients receiving chemotherapy and that rates in routine practice are higher than expected from clinical trials. Chemotherapy-related toxicities are often predictable and, consequently, acute care visits may be preventable with adequate treatment planning and support between visits to the cancer centre. We will evaluate the impact of proactive telephone-based toxicity management on emergency department visits and hospitalizations in women with early stage breast cancer receiving chemotherapy. Methods In this pragmatic covariate constraint-based cluster randomized trial, 20 centres in Ontario, Canada are randomly allocated to either proactive telephone toxicity management (intervention) or routine care (control). The primary outcome is the cluster-level mean number of ED + H visits per patient evaluated using Ontario administrative healthcare data. Participants are all patients with early stage (I-III) breast cancer commencing adjuvant or neo-adjuvant chemotherapy at participating institutions during the intervention period. At least 25 patients at each centre participate in a patient reported outcomes sub-study involving the collection of standardized questionnaires to measure: severity of treatment toxicities, self-care, self-efficacy, quality of life, and coordination of care. Patients participating in the patient reported outcomes (PRO) sub-study are asked to provide written consent to link their PRO data to administrative data. Unit costs will be applied to each per person resource utilized, and a total cost per population and patient will be generated. An incremental cost-effectiveness analysis will be undertaken to compare the incremental costs and outcomes between the intervention and control groups from the health system perspective. Discussion This study evaluates the effectiveness of a proactive toxicity management intervention in a routine care setting. The use of administrative healthcare data to evaluate the primary outcome enables an evaluation in a real world setting and at a much larger scale than previous studies. Trial registration Clinicaltrials.gov, NCT02485678. Registered 30 June 2015. Electronic supplementary material The online version of this article (10.1186/s12885-019-6099-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Monika K Krzyzanowska
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada. .,Department of Medicine, University of Toronto, Toronto, ON, Canada.
| | - Jim A Julian
- Ontario Clinical Oncology Group, McMaster University, Hamilton, ON, Canada
| | - Melanie Powis
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Doris Howell
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Craig C Earle
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | | | | | | | - Eva Grunfeld
- Ontario Institute for Cancer Research, Toronto, ON, Canada.,Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
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Avery KNL, Richards HS, Portal A, Reed T, Harding R, Carter R, Bamforth L, Absolom K, O'Connell Francischetto E, Velikova G, Blazeby JM. Developing a real-time electronic symptom monitoring system for patients after discharge following cancer-related surgery. BMC Cancer 2019; 19:463. [PMID: 31101017 PMCID: PMC6524308 DOI: 10.1186/s12885-019-5657-6] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 04/30/2019] [Indexed: 01/03/2023] Open
Abstract
Background Patients undergoing major cancer surgery frequently require post-acute care for complications and adverse effects. Enhanced recovery after surgery programmes mean that patients are increasingly discharged home earlier. Symptom/complication detection post-discharge is sub-optimal. Systematic patient monitoring post-discharge following surgery may be optimally achieved through routine electronic patient-reported outcome (ePRO) data capture. ePRO systems that employ clinical algorithms to guide management of patients and automatically alert clinicians of clinically-concerning symptoms can improve patient outcomes and decrease hospital admissions. ePRO systems that provide individually-tailored self-management advice and integrate live ePRO data into electronic health records (EHR) may also advance personalised health and patient-centred care. This study aims to develop a hospital EHR-integrated ePRO system to improve detection and management of complications post-discharge following cancer-related surgery. Methods The ePRO system was developed in two phases: (1) Development of a web-based ePRO symptom-report from validated European Organisation for Research and Treatment of Cancer (EORTC) questionnaires, clinical opinion and patient interviews, followed by hospital EHR integration; (2) Development of clinical algorithms triggering symptom severity-dependent patient advice and clinician alerts from: (i) prospectively-collected patient-completed ePRO symptom-report data; (ii) stakeholder meetings; (iii) patient interviews. Patient advice was developed from: (i) clinician-patient telephone consultations and patient interviews; (ii) review of hospital patient information leaflets (PIL) and patient support websites. Results Phase 1, including interviews with 18 patients, identified 35 symptom-report items. In phase 2, 130/300 (43%) screened patients were eligible. 61 (47%) consented to participate and 59 (97%) provided 444 complete self-reports. Stakeholder meetings (9 clinicians, 1 patient/public representative) and patient interviews (n = 66) refined advice/alert accuracy. 15 telephone consultations, 7 patient interviews and review of 28 PILs and 3 patient support websites identified 4 themes to inform self-management advice. Comparisons between ePRO symptom-report data, telephone consultations and clinical events/outcomes (n = 27 patients) further refined clinical algorithms. Conclusions A hospital EHR-integrated ePRO system that alerts clinicians and provides patient self-management advice has been developed to improve the detection and management of problems and complications after discharge following surgery. An ongoing pilot study will inform a multicentre randomised trial to evaluate the effectiveness of the ePRO system compared to usual care.
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Affiliation(s)
- Kerry N L Avery
- Medical Research Council ConDuCT-II Hub for Trials Methodology Research, National Institute for Health Research Bristol Biomedical Research Centre, Bristol Centre for Surgical Research, Bristol Medical School, Population Health Sciences, University of Bristol, 39 Whatley Road, Bristol, BS8 2PS, UK.
| | - Hollie S Richards
- Medical Research Council ConDuCT-II Hub for Trials Methodology Research, National Institute for Health Research Bristol Biomedical Research Centre, Bristol Centre for Surgical Research, Bristol Medical School, Population Health Sciences, University of Bristol, 39 Whatley Road, Bristol, BS8 2PS, UK
| | - Amanda Portal
- Medical Research Council ConDuCT-II Hub for Trials Methodology Research, Bristol Centre for Surgical Research, Bristol Medical School, Population Health Sciences, University of Bristol, 39 Whatley Road, Bristol, BS8 2PS, UK
| | - Trudy Reed
- Division of Surgery, University Hospitals Bristol NHS Foundation Trust, Bristol, BS2 8HW, UK
| | - Ruth Harding
- Division of Surgery, University Hospitals Bristol NHS Foundation Trust, Bristol, BS2 8HW, UK
| | - Robert Carter
- Section of Patient-Centred Outcomes Research, Patient Reported Outcomes Group, Leeds Institute of Medical Research at St James's, University of Leeds, St James's Hospital, Leeds, LS9 7TF, UK
| | - Leon Bamforth
- Section of Patient-Centred Outcomes Research, Patient Reported Outcomes Group, Leeds Institute of Medical Research at St James's, University of Leeds, St James's Hospital, Leeds, LS9 7TF, UK
| | - Kate Absolom
- Section of Patient-Centred Outcomes Research, Patient Reported Outcomes Group, Leeds Institute of Medical Research at St James's, University of Leeds, St James's Hospital, Leeds, LS9 7TF, UK
| | - Elaine O'Connell Francischetto
- NIHR CLAHRC West Midlands Chronic Disease Theme, Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK
| | - Galina Velikova
- Section of Patient-Centred Outcomes Research, Patient Reported Outcomes Group, Leeds Institute of Medical Research at St James's, University of Leeds, St James's Hospital, Leeds, LS9 7TF, UK
| | - Jane M Blazeby
- Medical Research Council ConDuCT-II Hub for Trials Methodology Research, National Institute for Health Research Bristol Biomedical Research Centre, Bristol Centre for Surgical Research, Bristol Medical School, Population Health Sciences, University of Bristol, 39 Whatley Road, Bristol, BS8 2PS, UK.,Division of Surgery, University Hospitals Bristol NHS Foundation Trust, Bristol, BS2 8HW, UK
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Liao Y, Thompson C, Peterson S, Mandrola J, Beg MS. The Future of Wearable Technologies and Remote Monitoring in Health Care. Am Soc Clin Oncol Educ Book 2019; 39:115-121. [PMID: 31099626 DOI: 10.1200/edbk_238919] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Mobile technology has become a ubiquitous part of everyday life and is changing the way we offer clinical care and perform clinical research. We have unprecedented access to data for one's self-care as well as for sharing with health care providers. Meeting the challenge posed by the influx of wearable device data requires a multidisciplinary team of researchers, clinicians, software developers, information technologists, and statisticians. Although the possibility of what can be achieved with the ever-evolving wearable technologies seems to be unlimited, regulatory agencies have provided a framework to establish standards for clinical applications, which will also affect research applications. Clinical programs and electronic medical records vendors should prepare to establish a framework to implement these technologies into clinicians' workflow and to allow feedback to measure the impact on clinical outcome. In this article, we discuss how a new brand of multidisciplinary care is evolving around mobile health devices and present a vision of up-and-coming technology in this space.
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Affiliation(s)
- Yue Liao
- 1 Division of Cancer Prevention and Population Sciences, Department of Behavioral Science, MD Anderson Cancer Center, Houston, TX
| | - Carrie Thompson
- 2 Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Susan Peterson
- 1 Division of Cancer Prevention and Population Sciences, Department of Behavioral Science, MD Anderson Cancer Center, Houston, TX
| | | | - Muhammad Shaalan Beg
- 4 Division of Hematology and Medical Oncology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
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Leviton A, Oppenheimer J, Chiujdea M, Antonetty A, Ojo OW, Garcia S, Weas S, Fleegler E, Chan E, Loddenkemper T. Characteristics of Future Models of Integrated Outpatient Care. Healthcare (Basel) 2019; 7:healthcare7020065. [PMID: 31035586 PMCID: PMC6627383 DOI: 10.3390/healthcare7020065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 04/23/2019] [Accepted: 04/24/2019] [Indexed: 01/01/2023] Open
Abstract
Replacement of fee-for-service with capitation arrangements, forces physicians and institutions to minimize health care costs, while maintaining high-quality care. In this report we described how patients and their families (or caregivers) can work with members of the medical care team to achieve these twin goals of maintaining-and perhaps improving-high-quality care and minimizing costs. We described how increased self-management enables patients and their families/caregivers to provide electronic patient-reported outcomes (i.e., symptoms, events) (ePROs), as frequently as the patient or the medical care team consider appropriate. These capabilities also allow ongoing assessments of physiological measurements/phenomena (mHealth). Remote surveillance of these communications allows longer intervals between (fewer) patient visits to the medical-care team, when this is appropriate, or earlier interventions, when it is appropriate. Systems are now available that alert medical care providers to situations when interventions might be needed.
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Affiliation(s)
- Alan Leviton
- Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital and Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA.
| | - Julia Oppenheimer
- Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital and Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA.
| | - Madeline Chiujdea
- Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital and Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA.
| | - Annalee Antonetty
- Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital and Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA.
| | - Oluwafemi William Ojo
- Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital and Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA.
| | - Stephanie Garcia
- Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital and Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA.
| | - Sarah Weas
- Division of Developmental Medicine, Department of Medicine, Boston Children's Hospital and Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA.
| | - Eric Fleegler
- Division of Emergency Medicine, Department of Medicine, Boston Children's Hospital and Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA.
| | - Eugenia Chan
- Division of Developmental Medicine, Department of Medicine, Boston Children's Hospital and Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA.
| | - Tobias Loddenkemper
- Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital and Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA.
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