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.
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 | |
|---|---|---|---|
| medicare_utils-0.0.2.tar.gz | 37.3 kB | Details |
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 |