Evidence has been published after external peer-review. Findings are generalizable but may have limitations.
Ostrovsky A, O’Connor L, Marshal O, et al. Predicting 30-120 day readmission risk among Medicare FFS patients using non-medical workers and mobile technology. Perspectives in Health Information Management. January 2016.
Munevar D, Drozd E, & Ostrovsky A. Correlation between Medicare A spending and hospitalization risk score using mobile technology. Avalere Independent Analysis. 2015.
Leading Age: Center for Aging Services Technologies. Telehealth and Remote Patient Monitoring for Long-Term and Post-Acute Care: A Primer and Provider Selection Guide 2015
Ostrovsky A, Cisneros A, & Morgan A. Are long-term supports and services a logical next step in the evolution of bundled payments? Annals of Long-term Care. Nov 2015.
AHRQ. Service Delivery Innovation: Community-Based Health Coaches and Care Coordinators Reduce Readmissions Using Information Technology To Identify and Support At-Risk Medicare Patients After Discharge. Rockville, MD. 2014.
AHRQ: AHRQ’s Care Coordination Work Leads to Better Outcomes, Lower Costs for Massachusetts Agency on Aging. Impact Case Study. Rockville, MD. Sept 2014.
Quality improvement data, presentation at academic conference requiring peer-review, or case studies. Findings require more research to be generalizable.
Parsons C & O’Connor L. Medicare claims demonstrating up to 20% reduction in 30-day readmissions after introduction of mobile technology. Healthy Aging Summit. 2015.
Ostrovsky A. Using community (big) data to drive quality improvement. New England Quality Improvement Organization Educational Webinar. 2015.
Hatem-Roy J & Ostrovsky A. 339% increase in transportation from early risk factor identification associated with reduced readmissions. Healthy Aging Conference. Washington, DC. 2015.
O’Connor L & Ostrovsky A. Interoperable sharing of care plan data from community provider to hospital increases discharges to community rather than SNF. eLTSS Workgroup Presentation. S & I Framework. ONC. April 2015.
Care Transitions Programs: Creating a Behavioral Health Intervention. The Robert Wood Johnson Foundation.
Research initiatives currently underway. No findings to report yet.
Dr. Charlene Quinn. Clustered randomized controlled trial comparing standard care coordination vs care coordination with a predictive analytics technology in a Medicaid-funded LTSS population. (Funded)
Dr. Kennon Copeland. Retrospective comparison of 3 communities in MD, MA, and WA: Impact of a community-based care transition program using predictive analytics on Medicare A utilization
Dr. Alexi Bonardi. Prospective evaluation of HCBS providers using predictive analytics technology on National Core Indicators.
Dr. Robyn Stone. Clustered randomized controlled trial comparing impact of standard housing resource specialists to resource specialists using a predictive analytics technology on ED utilization in an aging population living in publicly subsidized housing.
Dr. Si-Chi Chin. Randomized Controlled Trial of Connected Care Technology and Home Care Aides.
Evidence-based practice is just good business. We highly value research partnerships and welcome investigator-initiated proposals. Please contact bestpractices [at] careathand [dot] com with a brief statement of your interest.