Patient and caregiver perspectives on decision support for symptom and quality of life management during cancer treatment: Implications for eHealth

• Published in: Psycho-oncology (Chichester, England) England), 2017-08, Vol.26 (8), p.1105-1112
• Main Authors: Cooley, Mary E., Nayak, Manan M., Abrahm, Janet L., Braun, Ilana M., Rabin, Michael S., Brzozowski, Jane, Lathan, Christopher, Berry, Donna L.
• Format: Article
• Language: English
• Subjects: Cancer; Cancer therapies; Caregivers; Caregivers - psychology; Clinical outcomes; decision support; Decision support systems; Disease management; eHealth; Electronic health records; Focus Groups; Health disparities; Health education; Health Education - methods; Health information; Health records; Health status; Humans; Information technology; Internet access; Male; Medical records; Middle Aged; Neoplasms - psychology; Neoplasms - therapy; oncology; Palliative Care - methods; Patient Participation; Patients; Quality of life; Quality of Life - psychology; Surveys and Questionnaires; Symptoms; symptoms and quality of life; Telemedicine - methods
• ISSN: 1057-9249; 1099-1611
• DOI: 10.1002/pon.4442

Objectives Adequate symptom and quality‐of‐life (SQL) management is a priority during cancer treatment. eHealth is a timely way to enhance patient‐engagement, facilitate communication, and improve health outcomes. The objectives of this study were to describe patient and caregivers' perspectives for providing, processing, and managing SQL data to enhance communication and identify desired components for decision support. Methods Data were collected from 64 participants through questionnaires and focus groups. Analysis was conducted using NVivo. Open and axial coding was completed, grouping commonalities and large constructs into nodes to identify and synthesize themes. Results Face‐to‐face meetings with clinicians were the prime time to communicate, and patients strove to understand treatment options and the effect on SQL by bringing caregivers to their visits, taking notes, tracking symptoms, and creating portable health records. Patients/caregivers struggled to self‐manage their symptoms and were uncertain when to contact clinicians when experiencing uncontrolled symptoms. Most participants identified eHealth solutions for decision support. However, 38% of participants (n = 24) rarely used computers and identified non‐eHealth options for decision support. Core components for both eHealth and non‐eHealth systems were access to (1) cancer information, (2) medical records, (3) peer support, and (4) improved support and understanding on when to contact clinicians. Conclusions Patients were faced with an overwhelming amount of information and relied on their caregivers to help navigate the complexities of cancer care and self‐manage SQL. Health technologies can provide informational support; however, decision support needs to span multiple venues to avoid increasing disparities caused by a digital divide.