reich_potential_ddis_nhs
Reich et al. - Prevalence and Duration of Potential Drug Interactions Among US Nursing Home Residents, 2018-2020
Science Score: 57.0%
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Low similarity (6.9%) to scientific vocabulary
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
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 2
Metadata Files
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
- Repositories: 1
- Profile: https://github.com/BrownEpiHSR
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"
GitHub Events
Total
- Release event: 1
- Member event: 2
- Push event: 68
- Create event: 5
Last Year
- Release event: 1
- Member event: 2
- Push event: 68
- Create event: 5