Spacing Fix Test

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Spacing Fix Test

‘Hotspotting the Overdose Crisis’ is a data-driven, overdose prevention and outreach initiative in partnership with the MIT Sloan School of Management’s Health Systems Innovation (HSI). Utilizing a predictive analytics model¹ developed by the Staten Island Performing Provider System (SI PPS) and MIT, participating entities will use existing data sharing arrangements to identify those most at-risk of an overdose. The program then

1. Predictive Analytics Model

employs a proactive care management treatment model² to robustly treat those most at-risk before an overdose, not after. This care management model is led by a peer recovery advocate and a trained social worker and is designed to deliver peer-led, person-centered services to at-risk individuals ‘where they are’ in a safe and collaborative manner. Dedicated teams fully funded by this grant will focus on preventing overdose harm, engaging individuals in recovery, delivering value to the health system, and addressing critical social determinants of health which impact health outcomes and lead to stressors that contribute to the initiation of a substance use disorder or relapse.

2. Person-Centered Care Management Model

Distinguishing itself from any other overdose prevention effort, the Hotspotting program also integrates an innovative reimbursement paradigm³ to support participating treatment providers for their care coordination services. All too often, managed care organizations underfund substance abuse care and maintain perverse incentives which neither benefit the patient or the system at large. The Hotspotting program’s reimbursement model develops a business case for insurance companies to see the value of establishing a more equitable reimbursement program,

3. Innovative Reimbursement Program

Finally, the Hotspotting program integrates an independent program evaluation in partnership with MIT using an approach that aligns with the phased implementation of the initiative. The program’s success will be evaluated based on the algorithm’s predictive value, the intervention model’s efficacy, and the importance of alternative payment models on health outcomes. With this effort, lives will be saved, overdose crisis treatment efforts will be revolutionized and healthcare provision will be transformed.