A Novel mHealth Approach to Assess and Manage Palliative Care Needs for Cancer Patients in Kigali

Overview

Palliative care is an approach that improves the quality of life of patients and their families facing the problem associated with life-threatening illness such as cancer, through the prevention and relief of suffering by means of early identification and treatment of pain and other physical and psychosocial problems. Despite the rising incidence of cancer, the availability of comprehensive palliative care services across Sub Saharan Africa is extremely limited. The current study will test the efficacy of the newly developed smart phone based symptom evaluation app (application), in improving the management of the palliative care needs of patients with advanced cancer in Rwanda. RPCHO is the Rwanda Palliative Care and Hospice Organization that provides palliative care services to advanced cancer patients in Rwanda. About 80 patients enrolled under the RPCHO will be enrolled in the current study. Those who agree to take part in the study will be randomly assigned to either a standard care group or intervention group. Patients in both the arms will continue to receive the standard palliative care currently provided at the RPCHO. Additionally, patients in the intervention group will receive new smart-phone application based alerts, bi-weekly, on their mobile phone to fill out the short symptom assessment form. In addition, patients will also be able to complete a symptom assessment at any time they feel that their symptoms are poorly controlled or getting worse. The team at RPCHO will have desktop based dashboard where they will be able to track all patient's information. This will assist them in early identification and response to any worsening symptoms. Patients enrolled in both standard arm and intervention arm, will be asked to make three visits at the RPCHO at baseline, at 6 weeks, at 3 months. During this visits the RPCHO research staff will conduct their physical and psychological assessment. We hope to find significant improvement in pain score, other symptoms and quality of life, as measured by standard validated scores, for patients enrolled under the intervention arm (using the smart phone app) as compared to standard care arm at 6 weeks and at 3 months. Thus we hope to demonstrate that the new smartphone-based app can be successfully used for both the assessment and management of pain and other symptoms and providing palliative care services for advanced cancer patients in low and middle income countries.

The aim of the study is to conduct a preliminary efficacy study of a smartphone based symptom management app in a small pilot randomized controlled trial (RCT). We will enroll 80 advanced cancer patients with moderate to severe pain needs (10 per month) with estimated 40% females. Following informed consent, study staff will administer baseline assessments. Subsequently, patients will be randomly assigned via computer-generated randomization, to standard care or to the smartphone intervention plus standard care for 3 months. In the intervention arm participants will receive twice-weekly smartphone reminders to fill out the APCA POS on their phones. When prompted, participants will be asked to respond to the questions with a numerical value on the 5-point scale. Responses of 2 or higher will be highlighted on the provider's dashboard and identified, as "needs follow-up." Providers will respond to the "needs follow-up" messages (via call or text) and will advise the patients as indicated during business hours. The APCA POS score and any adjustment in medications and advice given will be noted in the medical record and the study software as outlined. In the standard Care arm patients will get the current palliative care provided at the RPCHO. This standard care includes regular follow-up phone calls and home visits, though the timing of these calls is variable and is selected by the discretion of the team. Patients can also contact RPCHO providers on a landline number available during business hours and staffed by an on-call palliative care provider. For after-hours emergency assistance, patients in both study arms will still have the option of contacting the on-call palliative-care physicians for assistance, as they do now. A trained study interviewer, who is blinded to patient assignment, will administer the baseline, 6-week and 3-month assessments for patients in both arms. In the baseline assessment information on patient and disease characteristic (age, sex, marital status, diagnosis, place of care, performance status) and family context (living situation) will be collected. On follow-up visits at 6 week and 3 month, patient's physical and psychosocial assessment will be done through expanded APCA POS (African Palliative Care Outcome Scale). APCA POS have been previously validated in the African setting. The APCA POS includes ten questions in total, two focused on physical symptoms including pain and assessment of general symptoms, five focused on psychosocial needs and three questions focused on the care-giver perspective of needs. Because our study is focused on the tracking and monitoring of physical symptoms of patients, three additional questions from the Palliative Outcomes Scale - Symptom List (POS-S) are added to the APCA POS which include shortness of breath, nausea and vomiting, fatigue and constipation. The assessment will be completed via paper and pencil and entered by the project coordinator into a password-protected, de-identified database, using double data entry, and uploaded to an encrypted, password protected, shared database which the PIs will be responsible for maintaining. All information pertaining to smartphone messages, including patient and provider responses will also be uploaded into the encrypted password-protected software maintained by Cornell Tech. Primary outcome for the study is difference in pain score as measured by the expanded APCA POS in two arms. Secondary outcomes are difference in other symptoms and quality of life (QOL) scores from the remaining portion of the expanded APCA POS individually and as composite score between the two arms. We will examine the efficacy of the app to improve these outcomes at 6 weeks and 3 months, adjusting for baseline scores with intension-to-treat analysis. These data will help us determine effect size used for sample size calculation of a future large scale RCT.