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Purdy GM, Sobierajski FM, Al Onazi MM, Effa CJ, Venner CP, Tandon P, McNeely ML. Exploring participant perceptions of a virtually supported home exercise program for people with multiple myeloma using a novel eHealth application: a qualitative study. Support Care Cancer 2023; 31:298. [PMID: 37097319 PMCID: PMC10126542 DOI: 10.1007/s00520-023-07762-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 04/16/2023] [Indexed: 04/26/2023]
Abstract
INTRODUCTION Supervision, tailoring, and flexibility have been proposed as key program elements for delivering successful exercise programs for people with multiple myeloma (MM). However, no studies to date have evaluated the acceptability of an intervention employing these components. The aim of this study was to determine the acceptability of a virtually supported exercise program and eHealth application for people with MM. METHODS A qualitative description approach was used. One-on-one interviews were conducted with participants who completed the exercise program. Content analysis was used to analyze verbatim transcripts from interviews. RESULTS Twenty participants were interviewed (64.9 ± 6.7 years of age, n = 12 females). Participants had positive perceptions of the exercise program. Two themes emerged related to strengths/limitations: One Size Does Not Fit All (sub-themes: Supportive & Responsive Programming and Diverse Exercise Opportunities), and App Usability. Supportive and Responsive Programming was a main strength of the program, characterized as programming that was tailored, involved active support, and delivered by appropriate personnel. The inclusion of Diverse Exercise Opportunities was also regarded as a strength, as it accommodated the preferences of all participants. Related to App Usability, participants felt the app was simple and user friendly but had a few less intuitive components. CONCLUSION The virtually supported exercise program and eHealth application were acceptable for people with MM. Programs should employ tailoring, active support, and appropriate personnel to bolster acceptability and include both supervised and flexible exercise formats. eHealth apps should be simple to use so technology proficiency is not a barrier to participation.
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Affiliation(s)
- Graeme M Purdy
- Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada
| | - Frances M Sobierajski
- Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada
| | - Mona M Al Onazi
- Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada
| | - Corrie J Effa
- Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada
| | | | - Puneeta Tandon
- Division of Gastroenterology, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Margaret L McNeely
- Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada.
- Cancer Care Alberta, Alberta Health Services, Calgary, AB, Canada.
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Purdy GM, Venner CP, Tandon P, McNeely ML. Feasibility of a tailored and virtually supported home exercise program for people with multiple myeloma using a novel eHealth application. Digit Health 2022; 8:20552076221129066. [PMID: 36249481 PMCID: PMC9554139 DOI: 10.1177/20552076221129066] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 09/09/2022] [Indexed: 11/16/2022] Open
Abstract
Introduction eHealth exercise interventions have the unique ability to leverage the benefits of in-person programming (tailoring and supervision) with the benefits of home programming (flexibility). There may be a role for eHealth-delivered exercise for people with multiple myeloma (MM), as exercise tailoring and supervision are critical for successful outcomes due to the significant impacts/risks of myeloma-related side effects. The purpose of this study was to determine the safety, feasibility, and preliminary efficacy of a 12-week virtually supported eHealth exercise program. Methods Participants with MM completed a 12-week virtually supported home exercise program involving virtually supervised group workouts, independent workouts, and aerobic exercise. Tailoring was facilitated by the functionality of HEAL-Me, a novel eHealth app. Participants completed virtual fitness assessments and questionnaires at baseline and week 12. Results Twenty-nine participants consented, 26 completed all follow-up testing (90%). Exercise adherence was 90% (group), 83% (independent), and 90% (aerobic). No serious adverse events (grade ≥3) occurred. Significant improvements were found for quality of life and physical fitness. There was a high level of program/app satisfaction: 96% of participants agreed or strongly agreed that the exercise program was beneficial, 93% found it enjoyable, 89% were satisfied or very satisfied with delivery through the HEAL-Me app, and 48% felt that the eHealth program helped them manage cancer-related symptoms and side-effects. Conclusion An eHealth intervention that is individually tailored and includes virtual supervision and active support from the healthcare team is feasible and acceptable to people with MM. The findings from this study warrant investigation using a large-scale randomized controlled trial.
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Affiliation(s)
- Graeme M. Purdy
- Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Alberta, Canada,Margaret L. McNeely, Department of Physical Therapy, Faculty of Rehabilitation Medicine, Department of Oncology, Cross Cancer Institute, University of Alberta, 3-44L Corbett Hall, Edmonton, Alberta, Canada.
| | | | - Puneeta Tandon
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada
| | - Margaret L. McNeely
- Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Alberta, Canada,Cross Cancer Institute, Edmonton, Canada
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Zhao R, Xie Y, Yang B, Wang C, Huang Q, Han Y, Yang L, Yan S, Wang X, Fu C, Wu D, Wu X. Identification of metabolic biomarkers to predict treatment outcome and disease progression in multiple myeloma. Am J Cancer Res 2020; 10:3935-3946. [PMID: 33294278 PMCID: PMC7716146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 08/22/2020] [Indexed: 06/12/2023] Open
Abstract
The relationship between metabolites and multiple myeloma (MM) is becoming a research focus in the field. In this study, we performed metabolic profiling of multiple myeloma and identified potential metabolites associated with clinical characteristics, therapeutic efficacy, and prognosis of the disease. Fifty-five patients with newly-diagnosed multiple myeloma and thirty-seven healthy controls from August 2016 to October 2017 were randomly collected. The serum metabolic profiling was investigated by gas chromatography-mass spectrometry (GC-MS) technique and underwent statistical analysis. Twenty-seven metabolites were found to be significantly different between healthy controls and multiple myeloma patients. Eleven metabolites were significantly elevated, while sixteen metabolites were decreased in the multiple myeloma population. Metabolic changes were also observed in patients with renal impairment and bone destruction. Levels of urea were significantly decreased after treatment while levels of hypotaurine showed significant increase in the good-effect group (P<0.05), but not in the no-good-effect group (P>0.05). In multivariate statistical analyses, high cysteine and high hypotaurine are independent risk factors for poor treatment outcome. After adjustment for critical clinical characteristics, patients with high levels of glycolic acid and xylitol were found to be less likely to experience disease progression. Multiple myeloma demonstrates different metabolic characteristics compared with the healthy population. Among multiple myeloma patients, renal impairment and bone destruction showed additional metabolic characteristics. Cysteine and hypotaurine have value in predicting the treatment outcome, while glycolic acid and xylitol may be important prognostic factors for multiple myeloma.
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Affiliation(s)
- Ranran Zhao
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
| | - Yiyu Xie
- Yale New Haven Health/Bridgeport HospitalBridgeport, USA
| | - Bingyu Yang
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
| | - Chang Wang
- School of Radiation Medicine and Protection, Medical College of Soochow University, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Jiangsu Provincial Key Laboratory of Radiation Medicine and ProtectionSuzhou, China
| | - Qianlei Huang
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
| | - Yue Han
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
| | - Lulu Yang
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
| | - Shuang Yan
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
| | - Xiaogang Wang
- Department of Mathematics and Statistics, York UniversityToronto, Canada
| | - Chengcheng Fu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
| | - Depei Wu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
| | - Xiaojin Wu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
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