How Can eHealth Technology Address Challenges Related to Multimorbidity? Perspectives from Patients with Multiple Chronic Conditions.

BACKGROUND: Patient eHealth technology offers potential support for disease self-management, but the value of existing applications for patients with multiple chronic conditions (MCCs) is unclear. OBJECTIVES: To understand self-management and health care navigation challenges that patients face due to MCCs and to identify opportunities to support these patients through new and enhanced eHealth technology. DESIGN: After administering a screening survey, we conducted 10 focus groups of 3-8 patients grouped by age, sex, and common chronic conditions. Patients discussed challenges associated with having MCCs and their use of (and desires from) technology to support self-management. Three investigators used standard content analysis methods to code the focus group transcripts. Emergent themes were reviewed with all collaborators, and final themes and representative quotes were validated with a sample of participants. PARTICIPANTS: Fifty-three individuals with ≥3 chronic conditions and experience using technology for health-related purposes. KEY RESULTS: Focus group participants had an average of five chronic conditions. Participants reported using technology most frequently to search for health information (96%), communicate with health care providers (92%), track medical information (83%), track medications (77%), and support decision-making about treatment (55%). Three themes emerged to guide eHealth technology development: (1) Patients with MCCs manage a high volume of information, visits, and self-care tasks; (2) they need to coordinate, synthesize, and reconcile health information from multiple providers and about different conditions; (3) their unique position at the hub of multiple health issues requires self-advocacy and expertise. Focus groups identified desirable eHealth resources and tools that reflect these themes. CONCLUSIONS: Although patients with multiple health issues use eHealth technology to support self-care for specific conditions, they also desire tools that transcend disease boundaries. By addressing the holistic needs of patients with MCCs, eHealth technology can advance health care from a disease-centered to a patient-centered model.

Multimorbidity and healthcare utilisation among high-cost patients in the US Veterans Affairs Health Care System.

OBJECTIVES: To investigate the relationship between multimorbidity and healthcare utilisation patterns among the highest cost patients in a large, integrated healthcare system. DESIGN: In this retrospective cross-sectional study of all patients in the U.S. Veterans Affairs (VA) Health Care System, we aggregated costs of individuals' outpatient and inpatient care, pharmacy services and VA-sponsored contract care received in 2010. We assessed chronic condition prevalence, multimorbidity as measured by comorbidity count, and multisystem multimorbidity (number of body systems affected by chronic conditions) among the 5% highest cost patients. Using multivariate regression, we examined the association between multimorbidity and healthcare utilisation and costs, adjusting for age, sex, race/ethnicity, marital status, homelessness and health insurance status. SETTING: USA VA Health Care System. PARTICIPANTS: 5.2 million VA patients. MEASURES: Annual total costs; absolute and share of costs generated through outpatient, inpatient, pharmacy and VA-sponsored contract care; number of visits to primary, specialty and mental healthcare; number of emergency department visits and hospitalisations. RESULTS: The 5% highest cost patients (n=261,699) accounted for 47% of total VA costs. Approximately two-thirds of these patients had chronic conditions affecting ≥3 body systems. Patients with cancer and schizophrenia were less likely to have documented comorbid conditions than other high-cost patients. Multimorbidity was generally associated with greater outpatient and inpatient utilisation. However, increased multisystem multimorbidity was associated with a higher outpatient share of total costs (1.6 percentage points per affected body system, p<0.01) but a lower inpatient share of total costs (-0.6 percentage points per affected body system, p<0.01). CONCLUSIONS: Multisystem multimorbidity is common among high-cost VA patients. While some patients might benefit from disease-specific programmes, for most patients with multimorbidity there is a need for interventions that coordinate and maximise efficiency of outpatient services across multiple conditions.