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 about 1 year ago · Last pushed 7 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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