Mobile Technology Care Coordination of Long-Term Services and Support: Cluster Randomized Clinical Trial

Abstract

The purpose of the study was to assess whether the effects of a mobile predictive intervention used by Service Coordinators (SCs) reduce hospital utilization in a Medicaid Long-Term Services and Supports (LTSS) population in Baltimore city during a 5-month intervention. SC participants ( n = 11) were recruited to treatment or control groups. LTSS clients ( n = 420) followed their SC randomization assignment. Utilization data were obtained from the Maryland Chesapeake Regional Information System for our Patients (CRISP) Health Information Exchange (HIE) system and linked to service coordination records. Study groups were similar in age, gender, race, and years receiving LTSS. SCs’ satisfaction with use of the mobile tool was surveyed. SC perceptions were neutral (mean scores ranged from 2.3 to 3.3 on a 5-point scale). No significant differences between groups were observed for all utilization metrics. The mobile technology software system used in this study did not improve health care utilization for a LTSS population needing ongoing clinical and social services coordinated care.

Clinical Information Systems Research in the Pandemic Year 2020

“…Also, among the remaining eleven candidate papers, there are very interesting contributions worth reading. For example, a systematic review on mobile health interventions in developing countries by Hoque et al [ 11 ], a cluster-randomized clinical trial on mobile technology care coordination of long-term services and support by Quinn et al [ 12 ], and a contribution by Weenk et al who investigated positive and negative effects, barriers and facilitators for the use of wearable devices for continuous monitoring of vital signs in a randomized controlled trial [ 13 ].…”