reich_potential_ddis_nhs

Reich et al. - Prevalence and Duration of Potential Drug Interactions Among US Nursing Home Residents, 2018-2020

https://github.com/brownepihsr/reich_potential_ddis_nhs

Science Score: 57.0%

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Repository

Reich et al. - Prevalence and Duration of Potential Drug Interactions Among US Nursing Home Residents, 2018-2020

Basic Info
  • Host: GitHub
  • Owner: BrownEpiHSR
  • License: mit
  • Language: SAS
  • Default Branch: main
  • Size: 528 KB
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Created over 1 year ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

README.md

Description

This repository contains data documentation and code for the analysis in the manuscript titled "Prevalence and Duration of Potential Drug-Drug Interactions Among US Nursing Home Residents, 2018-2020."

Repository Contents

  • data_documentation/ - Contains files describing the data sources, key variables, and steps to identify drug-drug interaction (DDI) exposure among beneficiaries in the primary and stability analysis.
  • code/ - The programs used for data management and analysis.
  • LICENSE - The license under which this repository is shared.
  • citation.cff - Citation for the repository.
  • README.md - This file, providing an overview of the repository.

Data Documentation

The data_documentation/ directory contains the following files: - Data_Documentation.xlsx - Contains the list of input datasets and years of data used in the analysis; steps to identify DDI exposure among beneficiaries in the primary and stability analysis; description of key variables in source datasets and some derived datasets. - DDIs_List.xlsx - Includes the names of drugs to be included for each potential drug-drug interaction.

Code

The code/ directory contains the following programs: - 0_Create_Dispensing_Datasets.sas - Creating drug-level claims datasets for each drug-drug interaction component. - 1a_Create_Med_Eps.sas - Creating medication use episodes for the drugs associated with each potential drug-drug interaction. - 1b_Create_Med_Eps_Stability.sas - Creating medication use episodes for the stability analysis. - 2a_Create_Concurrent_Med_Eps.sas - Creating episodes of medication use overlap (i.e., concurrent use) for the drugs associated with each potential drug-drug interaction. - 2b_Create_Concurrent_Med_Eps_Stability.sas - Creating episodes of medication use overlap (i.e., concurrent use) in the stability analysis. - 3a_Create_DDI_Exposure_Eps.sas - Creating continuous episodes of exposure for each potential drug-drug interaction. - 3b_Create_DDI_Exposure_Eps_Stability.sas - Creating continuous episodes of exposure for each potential drug-drug interaction in the stability analysis. - 4_Table2.sas - Generating output for Table 2: Top 12 Potential Drug-Drug Interactions Among Nursing Home Residents, 2018-2020 (N = 485,251 Residents). - 5_TableS2-S4.sas - Generating output for the following tables: - Table S2: Potential Drug-Drug Interactions Among Nursing Home Residents Identified by Anrys et al., 2018-2020. - Table S3: Potential Drug-Drug Interactions Among Nursing Home Residents Identified by the 2023 AGS Beers Criteria®, 2018-2020. - Table S4: Potential Drug-Drug Interactions Among Nursing Home Residents Identified by Capiau et al., 2018-2020. - 6_TableS5-S6.sas - Generating output for the following tables: - Table S5: Top 50 Individual Drug Combinations Under “Concomitant Use of At Least CNS-Active Drugs” (Anrys et al.). - Table S6: Top 50 Individual Drug Combinations Under “Any Combination of At Least CNS-Active Drugs” (2023 AGS Beers Criteria®).

Programs were run in sequence to produce the study findings. Cohort creation programs and programs used to produce Table 1 have not been included; a broad description of these steps can be found in the manuscript.

Additional information (and code) for identifying nursing home time with observable Part D prescription drug data can be found in the upcoming publication from Harris et al. "Identifying observable medication use time in administrative databases: A tutorial using nursing home residents" (doi.org/10.5281/zenodo.15012812).

Owner

  • Name: BrownEpiHSR
  • Login: BrownEpiHSR
  • Kind: organization
  • Location: United States of America

Code and documentation for Brown epidemiology and health services research projects.

Citation (citation.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Reich"
  given-names: "Laura"
  orcid: "https://orcid.org/0009-0003-8424-2276"
title: "Reich_Potential_DDIs_NHs"
doi: 10.5281/zenodo.1234
date-released: 2025-07-24
url: "https://github.com/BrownEpiHSR/Reich_Potential_DDIs_NHs"

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