Leveraging Mobile Health Technology and Multidisciplinary Methodology to Optimize Self-Management Education for Advanced Cancer Pain: Development of STAMP

Abstract

Pain continues to be a primary and challenging symptom of cancer. We sought to use mobile health (mHealth) technology to tailor psycho-education to better meet patients' needs. Using the Agile and mHealth Development and Evaluation Frameworks, a multidisciplinary team of clinician researchers, patients, and software and design specialists followed a four-phase iterative process to develop multi-media cancer pain education within a patient-facing smartphone application. The resulting application pairs comprehensive cancer pain education spanning pharmacologic and behavioral support with medication hosting and symptom surveys. MHealth enables creative, interactive educational approaches utilizing written text, graphics, animated videos, quizzes, audiorecordings, and motivational messages. Computable algorithms were used to tailor content to patients' symptom surveys. Cancer patients found the materials to be useful. By bridging technology and research methodology, we incorporated theory, evidence, and patient feedback to create a tailored and scalable educational intervention to support cancer pain selfmanagement.

Artificial intelligence empowered digital health technologies in cancer survivorship care: A scoping review

“…In the management of symptom monitoring in patients with cancer at home, some studies focused on patients with cancer during treatment and several studies have addressed the management of adverse reactions during cancer treatment (including chemotherapy, radiotherapy, and adverse drug reactions 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 ) for monitoring. Followed by 13 studies of cancer comorbid symptoms 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 with 10 studies focused specifically on cancer-specific pain, 57 , 59 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 13 studies examined the impact of novel DHTs on the psychosocial state of patients with cancer, 89 , 90 , 91 , 92 , 93 , 94 ...…”

“…In the management of symptom monitoring in patients with cancer at home, some studies focused on cancer patients during treatment and several studies have addressed the management of adverse reactions during cancer treatment (including chemotherapy, radiotherapy, and adverse drug reactions ) for monitoring. Followed by 13 studies of cancer comorbid symptoms [81][82][83][84][85][86][87][88][89][90][91][92][93][94] with 10 studies focused specifically on cancer-specific pain 59,70-79 , 13 studies examined the impact of novel DHTs on the psychosocial state of cancer patients , and 6 studies explored treatment J o u r n a l P r e -p r o o f adherence in addition to symptom monitoring and management for patients with cancer at home [55][56][57][58][59][60][61] . DHTs can also be applied in the inpatient setting for symptom monitoring and management in oncology patients.…”

Explore the use of complementary and alternative medicine among Chinese gynaecological patients with cancer undergoing chemotherapy: a qualitative phenomenological study

“…Technologies such as Internet hospitals and city or regional healthcare platforms are necessities on such endeavours because of the massive information and work involved. The technologies may empower both care providers and patients by integrating and disseminating information and coordinating services and clients, and allow better supervision 17 18…”

“…The technologies may empower both care providers and patients by integrating and disseminating information and coordinating services and clients, and allow better supervision. 17 18 …”

Mobile Health Interventions for Cancer Care and Support: The Next Level of Digitalization in Healthcare?

“…Technology Acceptance Model [33], and the Unified Theory of Acceptance and Use of Technology [61]. Moreover, the findings show a significant focus on specific methodologies, such as randomized control trials (RCTs) [40,112,113], focus group discussions (FGDs), [90,114] and interviews [41,98,115]. However, recent studies have also begun to adopt mixedmethod research designs [5,19,38,74,78,116] to garner deeper insights into the effect of mHealth interventions on respondents' well-being [117] and clinical outcomes.…”