medicare_utils
Scripts to assist working with Medicare data.
Features
Provides the class MedicareDF. This class contains some canned scripts to make common tasks easier. It currently contains two functions:
get_cohort(), which uses the beneficiary summary file to find a set of medicare beneficiaries according to options given to the function.search_for_codes(), which searches for HCPCS, ICD-9 diagnosis, and/or ICD-9 procedure codes in a given type of file.
Installation
Install the package with:
pip install git+https://github.com/kylebarron/medicare_utils --upgrade
Usage
The class is initialized with
import medicare_utils as med
mdf = med.MedicareDF('05', range(2010, 2013))
mdf.get_cohort(gender='female', ages=range(65, 75))
mdf.search_for_codes(2010, 'med', icd9_diag='41071')
It has attributes that refer to different levels of the data, when applicable:
mdf.pl: patient-level data. Here the index of the data isbene_idfor data post-2005, orehicfor data pre-2005.mdf.cl: claim-level data.
History
0.0.1 (2018-03-01)
- First release on PyPI.
1 maintainer
Metadata
1 maintainer
Release files for medicare_utils 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| medicare_utils-0.0.2.tar.gz | 37.3 kB | Without provenance | Details for medicare_utils-0.0.2.tar.gz |
Release files / medicare_utils-0.0.2.tar.gz
| Download URL | medicare_utils-0.0.2.tar.gz |
|---|---|
| Size | 37.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ba2567f52f7bc017e99b0ff15f7925bd4db8ceeb77e439690a3817ebfce30d18
|
|
BLAKE2b-256 checksum How to use checksums |
f571ffb5b2e0779738c45d0da77cdf0c9418e1f837071dc82dcc5ec84ad726a0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for medicare_utils 0.0.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
