Insights and Lessons from Systematic Literature Review of Budget Impact Model Methodologies for United States Payers

Author(s)

Aggarwal S1, Kumar S2, Topaloglu O1
1NOVEL Health Strategies, Bethesda, MD, USA, 2NOVEL HEALTH STRATEGIES, COLUMBIA, MD, USA

OBJECTIVES:

United States payers have expressed concerns with budget impact models submitted to them for formulary review and/or pricing negotiations. The objective of this study was to review and develop lessons from published budget impact models for United States public and private payers.

METHODS:

A systematic literature review was conducted using PubMed and Medline for full text budget impact publications for United States public and private payers. The data were extracted for model methods: design, assumptions, time horizon, incorporation of adverse events, resource use, sensitivity analyses and payer perspective. Insights and lessons for new model development were generated from this review.

RESULTS: Sixty seven (67) full text budget impact model publications for United States were identified and reviewed. Nearly half of the model publications claimed savings (30 of 67) or low/small budget impact (4 of 67). Adverse events were included in 21 models, and resource use (hospital, emergency room and nursing time) was included in 17 models. Cost-Effectiveness model structure was used in 10 models. Sensitivity analyses were reported in 33 publications (all one-way sensitivity analysis, no probabilistic analyses were reported). Most models focussed on commercial payer or Medicare perspective (37), while only 2 models were developed for Medicaid. The time horizons varied across publications, with an even mix of 3 and 5 years. The hypothetical plan size also varied across models (1, 5, 10 million), though 1 million was the most common plan size (24 models). Overall, models show a wide range of heterogeneity which could make it challenging for payers to accept and compare model results.

CONCLUSIONS: US budget impact models show wide range of heterogeneity in methodology and assumptions. There is a need for a consistent modeling approach to improve acceptability by payers.

Conference/Value in Health Info

2023-05, ISPOR 2023, Boston, MA, USA

Value in Health, Volume 26, Issue 6, S2 (June 2023)

Code

EE87

Topic

Economic Evaluation

Topic Subcategory

Budget Impact Analysis

Disease

Drugs

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