Patient Satisfaction: Doctor vs. Nurse

1033 patients with no regular health care provider were randomly assigned to receive treatment from either a doctor or a nurse practitioner for primary and follow-up care after an emergency room or urgent care facility visit. Patients were interviewed 6 months later to assess their overall level of satisfaction with the care they had received. There were 389 patients assigned to see a doctor and 644 patients assigned to see a nurse practitioner. The satisfaction scores are based on a 5-point scale, where 5 is the most positive responses. The variable “Group” indicates whether a patient was assigned to see a doctor (Group = 1) or Nurse (Group = 2). The variable “Satisfaction” gives the satisfaction scores reported by the patients. Is there a difference in the mean satisfaction rating given by patients treated by doctors versus nurse practioners?
MATH221
health
Author

MATH 221

Published

May 1, 2024

Data details

There are 1,033 rows and 2 columns. The data source1 is used to create our data that is stored in our pins table. You can access this pin from a connection to posit.byui.edu using hathawayj/patient_satisfaction_doctor_vs_nurse.

This data is available to all.

Variable description

  • Group: Whether a patient was assigned to a doctor (1) or a nurse (2)
  • Satisfaction: Satisfaction score (1-5, 5 being most positive)

Variable summary

Variable type: numeric

skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
Group 0 1 1.62 0.48 1.0 1.0 2.0 2.0 2 ▅▁▁▁▇
Satisfaction 0 1 4.45 0.23 3.2 4.3 4.5 4.6 5 ▁▁▂▇▂ 
NULL
Explore generating code using R 
library(tidyverse)
library(pins)
library(connectapi)

patient_satisfaction_doctor_vs_nurse <- read_csv('https://github.com/byuistats/data/raw/master/PatientSatisfaction-DoctorVsNurse-Stacked/PatientSatisfaction-DoctorVsNurse-Stacked.csv') %>% 
  select(!Explanation)


# Publish the data to the server with Bro. Hathaway as the owner.
board <- board_connect()
pin_write(board, patient_satisfaction_doctor_vs_nurse, type = "parquet", access_type = "all")

pin_name <- "patient_satisfaction_doctor_vs_nurse"
meta <- pin_meta(board, paste0("hathawayj/", pin_name))
client <- connect()
my_app <- content_item(client, meta$local$content_id)
set_vanity_url(my_app, paste0("data/", pin_name))

Access data

This data is available to all.

Direct Download: patient_satisfaction_doctor_vs_nurse.parquet

R and Python Download:

URL Connections:

For public data, any user can connect and read the data using pins::board_connect_url() in R.

library(pins)
url_data <- "https://posit.byui.edu/data/patient_satisfaction_doctor_vs_nurse/"
board_url <- board_connect_url(c("dat" = url_data))
dat <- pin_read(board_url, "dat")

Use this custom function in Python to have the data in a Pandas DataFrame.

import pandas as pd
import requests
from io import BytesIO

def read_url_pin(name):
  url = "https://posit.byui.edu/data/" + name + "/" + name + ".parquet"
  response = requests.get(url)
  if response.status_code == 200:
    parquet_content = BytesIO(response.content)
    pandas_dataframe = pd.read_parquet(parquet_content)
    return pandas_dataframe
  else:
    print(f"Failed to retrieve data. Status code: {response.status_code}")
    return None

# Example usage:
pandas_df = read_url_pin("patient_satisfaction_doctor_vs_nurse")

Authenticated Connection:

Our connect server is https://posit.byui.edu which you assign to your CONNECT_SERVER environment variable. You must create an API key and store it in your environment under CONNECT_API_KEY.

Read more about environment variables and the pins package to understand how these environment variables are stored and accessed in R and Python with pins.

library(pins)
board <- board_connect(auth = "auto")
dat <- pin_read(board, "hathawayj/patient_satisfaction_doctor_vs_nurse")
import os
from pins import board_rsconnect
from dotenv import load_dotenv
load_dotenv()
API_KEY = os.getenv('CONNECT_API_KEY')
SERVER = os.getenv('CONNECT_SERVER')

board = board_rsconnect(server_url=SERVER, api_key=API_KEY)
dat = board.pin_read("hathawayj/patient_satisfaction_doctor_vs_nurse")