Caregiver Perspectives on Telemedicine for Postdischarge Care for Children With Medical Complexity: A Qualitative Study.

INTRODUCTION: The objectives of this study were to describe the perspectives of caregivers of children with medical complexity on telemedicine video visits (TMVV) for posthospitalization care and determine whether TMVV may be a viable alternative to in-person follow-up. METHOD: Our qualitative descriptive study included semistructured telephone interviews with 12 caregivers. Data analysis was conducted using an adapted Colaizzi's descriptive phenomenological method for thematic construction. RESULTS: Results were organized into four themes describing caregivers' experiences with TMVV: (1) promoted caregiver self-efficacy and sense of independence; (2) TMVV as convenient, cost-effective, comprehensive, and acceptable; (3) supported caregiver decision-making and problem-solving; and (4) fostered delivery of family-centered care. DISCUSSION: Although in-person visits are necessary for some circumstances, TMVV can serve as a convenient and acceptable alternative for posthospitalization follow-up in children with medical complexity. Overall, caregivers in this study were satisfied with the quality of care and individualized experience of TMVV.

Feasibility of Post-hospitalization Telemedicine Video Visits for Children With Medical Complexity.

OBJECTIVES: To evaluate feasibility and acceptability of post-hospitalization telemedicine video visits (TMVV) during hospital-to-home transitions for children with medical complexity (CMC); and explore associations with hospital utilization, caregiver self-efficacy (CSE), and family self-management (FSM). METHOD: This non-randomized pilot study assigned CMC (n=28) to weekly TMVV for four weeks post-hospitalization; control CMC (n=20) received usual care without telemedicine. Feasibility was measured by time to connection and proportion of TMVV completed; acceptability was measured by parent-reported surveys. Pre/post-discharge changes in CSE, FSM, and hospital utilization were assessed. RESULTS: 64 TMVV were completed; 82 % of patients completed 1 TMVV; 54 % completed four TMVV. Median time to TMVV connection was 1 minute (IQR=2.5). Parents reported high acceptability of TMVV (mean 6.42; 1 -7 scale). CSE and FSM pre/post-discharge were similar for both groups; utilization declined in both groups post-discharge. DISCUSSION: Post-hospitalization TMVV for CMC were feasible and acceptable during hospital-to-home transitions.

Point-of-Care Complexity Screening Algorithm to Identify Children With Medical Complexity.

OBJECTIVES: For pediatric complex care programs to target enhanced care coordination services to the highest-risk patients, it is critical to accurately identify children with medical complexity (CMC); however, no gold standard definition exists. The aim of this study is to describe a point-of-care screening algorithm to identify CMC with high health care use, a group that may benefit the most from improved care coordination. METHODS: From July 1, 2015, to June 30, 2016 (fiscal year 2016 [FY16]), a medical complexity screening algorithm was implemented by a pediatric complex care program at a single tertiary care center for hospitalized patients at the time of admission. Using the screening algorithm, we categorized inpatients into 1 of 3 groups: CMC, children with special health care needs (CSHCN), or previously healthy (PH) children. Inpatient resource use for FY16 and FY17 encounters was extracted for children screened in FY16. RESULTS: We categorized 2187 inpatients in FY16 into the 3 complexity groups (CMC = 77; CSHCN = 1437; PH children = 673). CMC had more complex chronic conditions (median = 6; interquartile range [IQR] 4-11) than CSHCN (median = 1; IQR 0-2) and PH children (median = 0; IQR 0-0). CMC had greater per-patient and per-encounter hospital use than CSHCN and PH children. CMC and children with ≥4 complex chronic conditions had comparable levels of resource use. CONCLUSIONS: By implementation of a point-of-care screening algorithm, we identified CMC with high health care use. By using this algorithm, it was feasible to identify hospitalized CMC that could benefit from care coordination by a pediatric complex care program.