Cost of start-up activities to implement a community-level opioid overdose reduction intervention in the HEALing Communities Study.

BACKGROUND: Communities That HEAL (CTH) is a novel, data-driven community-engaged intervention designed to reduce opioid overdose deaths by increasing community engagement, adoption of an integrated set of evidence-based practices, and delivering a communications campaign across healthcare, behavioral-health, criminal-legal, and other community-based settings. The implementation of such a complex initiative requires up-front investments of time and other expenditures (i.e., start-up costs). Despite the importance of these start-up costs in investment decisions to stakeholders, they are typically excluded from cost-effectiveness analyses. The objective of this study is to report a detailed analysis of CTH start-up costs pre-intervention implementation and to describe the relevance of these data for stakeholders to determine implementation feasibility. METHODS: This study is guided by the community perspective, reflecting the investments that a real-world community would need to incur to implement the CTH intervention. We adopted an activity-based costing approach, in which resources related to hiring, training, purchasing, and community dashboard creation were identified through macro- and micro-costing techniques from 34 communities with high rates of fatal opioid overdoses, across four states-Kentucky, Massachusetts, New York, and Ohio. Resources were identified and assigned a unit cost using administrative and semi-structured-interview data. All cost estimates were reported in 2019 dollars. RESULTS: State-level average and median start-up cost (representing 8-10 communities per state) were $268,657 and $175,683, respectively. Hiring and training represented 40%, equipment and infrastructure costs represented 24%, and dashboard creation represented 36% of the total average start-up cost. Comparatively, hiring and training represented 49%, purchasing costs represented 18%, and dashboard creation represented 34% of the total median start-up cost. CONCLUSION: We identified three distinct CTH hiring models that affected start-up costs: hospital-academic (Massachusetts), university-academic (Kentucky and Ohio), and community-leveraged (New York). Hiring, training, and purchasing start-up costs were lowest in New York due to existing local infrastructure. Community-based implementation similar to the New York model may have lower start-up costs due to leveraging of existing infrastructure, relationships, and support from local health departments.

Establishing a Protocol for Determining the Costs of an Integrated Set of Evidence-based Practices Aimed at Reducing Opioid Overdose Deaths.

OBJECTIVES: In the midst of the opioid overdose crisis, local jurisdictions face a choice of public health interventions. A significant barrier when considering evidence-based practices (EBPs) is the lack of information regarding their implementation cost. This protocol paper provides the methodological foundation for the economic cost evaluations of community-wide strategies on the scale of a national study. It can serve as a resource for other communities, local policymakers, and stakeholders as they consider implementing possible public health strategies in their unique settings. METHODS: We present a protocol that details (1) the process of identifying, reviewing, and analyzing individual strategies for study-funded and non-study-funded costs; (2) prospective costing tool designation, and; (3) data collection. To do this, we set up working groups with community stakeholders, reviewed financial invoices, and surveyed individuals with detailed knowledge of their community implementation. DISCUSSION: There were 3 main challenges/limitations. The first was the lack of a standard structure for documenting nonfunded costs associated with each strategy. The second was the need for timely implementation of cost data. The third was generalizability because our study designed its strategies for selected communities due to their high opioid overdose mortality rates. Future steps include more tailored questions to ask during the categorization/filter process and establishing realistic expectations for organizations regarding documenting. CONCLUSIONS: Data collected will provide a critical methodological foundation for costing large community-based EBP strategies and provide clarity for stakeholders on the cost of implementing EBP strategies to reduce opioid overdose deaths.

Cost-effectiveness of hepatitis C virus test-and-treat and risk reduction strategies among men who have sex with men living with HIV in France.

INTRODUCTION: Studies suggest that hepatitis C virus (HCV) micro-elimination is feasible among men who have sex with men (MSM) living with human immunodeficiency virus (HIV), through treatment-as-prevention and interventions aimed at reducing risk behaviours. However, their economic impact is poorly understood. The aim of this study was to assess the cost-effectiveness of HCV screening and risk reduction strategies in France. METHODS: A compartmental deterministic mathematical model was developed to describe HCV disease transmission and progression among MSM living with HIV in France. We evaluated different combinations of HCV screening frequency (every 12, 6 or 3 months) and risk reduction strategies (targeting only high-risk or all MSM) from 2021 onwards. The model simulated the number of HCV infections, life-expectancy (LYs), quality-adjusted life-expectancy (QALYs), lifetime costs and incremental cost-effectiveness ratio (ICER) over a lifetime horizon (leading to an end of the simulation in 2065). RESULTS: All strategies increased QALYs, compared with current practices, that is yearly HCV screening, with no risk reduction. A behavioural intervention resulting in a 20% risk reduction in the high-risk group, together with yearly screening, was the least expensive strategy, and, therefore, cost-saving compared to current practices. The ICER per QALY gained for the strategy combining risk reduction for the high-risk group with 6-month HCV screening, compared to risk reduction with yearly screening, was €61,389. It also prevented 398 new HCV infections between 2021 and 2065, with a cost per infection averted of €37,790. All other strategies were dominated (more expensive and less effective than some other available alternative) or not cost-effective (ICER per QALY gained > €100,000). CONCLUSIONS: In the French context, current HCV screening practices without risk reduction among MSM living with HIV cannot be justified on economic grounds. Risk reduction interventions targeted to high-risk individuals-alongside screening either once or twice a year-could be cost-effective depending on the policymaker's willingness-to-pay.

An evaluation of five regional health information technology-based programmes to improve health and social care coordination: A quasi-experimental controlled before/after mixed design.

OBJECTIVES: Health information technology (HIT) can help coordinate health and social actors involved in patients' pathways. We assess five regional HIT-based programmes ('Territoires de Soins Numériques' or TSN) introduced in France, covering the period 2012-2018. METHODS: This was a quasi-experimental controlled before/after mixed design. We used data from the French National Health Insurance database, qualitative and quantitative surveys, and information extracted from project documents and databases. We assessed the impact of TSN using four main impact indicators: emergency room visits, unplanned hospitalizations, avoidable hospitalizations and rehospitalization within 30 days. We also collected qualitative and secondary quantitative data covering perceived needs, knowledge, use, satisfaction, adoption and understanding of projects, pathway experience, impact on professional practices and appropriateness of hospitalizations. RESULTS: TSN implemented a heterogeneous mix of HIT. Implementation was slower than expected and was not well documented. Users perceived the HIT as having a positive but weak overall effect. There were no significant differences in trends for the main impact indicators, nor on the appropriateness of hospitalizations, but favourable trends on secondary polypharmacy indicators. CONCLUSIONS: If similar innovations take place in future, they should be based on a logical framework that defines causal, measurable links between services provided and expected impacts.