Learn R Programming

UsingR (version 2.0-7)

npdb: National Practioner Data Bank

Description

Selected variables from the publicly available data from the National Practioner Data Bank (NPDB).

Usage

data(npdb)

Arguments

Format

A data frame with 6797 observations on the following 6 variables.

state

2 digit abbreviation of state

field

Field of practice

age

Age of practictioner (rounded down to 10s digit)

year

Year of claim

amount

Dollar amount of reward

ID

a practioner ID, masked for anonymity

The variable names do not match the original. The codings for field come from a document on http://63.240.212.200/publicdata.html.

Details

This dataset excerpts some interesting variables from the NPDB for the years 2000-2003. The question of capping medical malpractice awards to lower insurance costs is currently being debated nationwide (U.S.). This data is a primary source for determining this debate.

A quotation from https://npdb-hipdb.com/:

“The legislation that led to the creation of the NPDB was enacted the U.S. Congress believed that the increasing occurrence of medical malpractice litigation and the need to improve the quality of medical care had become nationwide problems that warranted greater efforts than any individual State could undertake. The intent is to improve the quality of health care by encouraging State licensing boards, hospitals and other health care entities, and professional societies to identify and discipline those who engage in unprofessional behavior; and to restrict the ability of incompetent physicians, dentists, and other health care practitioners to move from State to State without disclosure or discovery of previous medical malpractice payment and adverse action history. Adverse actions can involve licensure, clinical privileges, professional society membership, and exclusions from Medicare and Medicaid.”

Examples

Run this code
# NOT RUN {
data(npdb)
table(table(npdb$ID))		# big offenders
hist(log(npdb$amount))		# log normal?
# }

Run the code above in your browser using DataLab