Analysis code for study, "How Should We Identify Home- and Community-Based Services (HCBS) in Medicaid Claims Data? An Evaluation and Synthesis of Algorithms?"

Résumé fourni par la source

This repository contains SAS code and accompanying data files for identifying and classifying Home- and Community-Based Services (HCBS) claims in Medicaid Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF), and for comparing three different HCBS identification methods.This code applies three HCBS identification methods to a 20% random sample of Medicaid beneficiaries from 2021 to 2023, then compares the results at the claim level and the person level. The three methods implemented are: Wang, Qi, and Konetzka method — from their paper “Home- and community-based care in the new generation of Medicaid administrative data.”Mathematica method — the team’s synthesis of the approach described in the 2024 Mathematica report “Methodology for Identifying Medicaid Long-Term Services and Supports Expenditures and Users, 2022” (Stepanczuk, Murray, Carpenter, and Wysocki).Unified, modified approach — the team’s own synthesized method, described in “How Should We Identify Home- and Community-Based Services (HCBS) in Medicaid Claims Data? An Evaluation and Synthesis of Algorithms” (Dihwa, Roberts, Macneal, Johnston, and Ne’eman).The enclosed Readme file orients users to the SAS programs contained in this directory and the order in which these programs should be run to construct the above-referenced HCBS identification methods.For questions, please contact Eric Roberts (eric.roberts@pennmedicine.upenn.edu) or Eliza Macneal (Eliza.Macneal@Pennmedicine.upenn.edu) at the University of Pennsylvania.

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