rem_synthdata {rollmatch}

Synthetic dataset to illustrate rolling entry

Description

This dataset represents a synthetic population of individuals who resemble Medicare fee-for-service patients in terms of age, race, spending, inpatient visits, ED visits, chronic conditions, and dual eligibility. The quasi-panel dataset contains multiple observations of non-participants (one for each entry period). Participants enter the data once in the baseline period immediately preceding their unique entry into the intervention. Time-varying covariates (e.g., health conditions, spending, utilization) are dynamic for each entry period's non-participant observations.

Usage

rem_synthdata

Format

A data frame with 254,400 observations and 20 variables:

indiv_id

The unique identifier for each individual.

entry_q

The period in which the individual enrolled in treatment / entered the intervention.

lq

Last baseline quarter before entry into the intervention.

quarter

Time variable, indicating the quarter that the variables are measured.

treat

Treatment indicator variable (=1 if in treatment group and =0 if in control group).

age

The patient's age.

is_black

Race indicator variable (=1 if identified as Black, =0 if not).

is_disabled

Physical disability indicator variable (=1 if identified as disabled, =0 if not).

is_esrd

Disease indicator variable (=1 if identified as having End Stage Renal Disease (ESRD), =0 if not).

is_hispanic

Ethnicity indicator variable (=1 if identified as Hispanic, =0 if not).

is_male

Gender indicator variable (=1 if identified as Male, =0 if not).

is_white

Race indicator variable (=1 if identified as White, =0 if not).

lq_ed

Indicates the person had an ED visit during LQ.

lq_ip

Indicates the person had an inpatient stay during LQ.

yr_ed2

Count of ED visits during quarters LQ-5 to LQ-1.

yr_ip2

Count of inpatient stays during quarters LQ-4 to LQ-1.

months_dual

Number of months of dual Medicare-Medicaid eligibility in the previous year.

chron_num

Number of chronic conditions.

qtr_pmt

Payments during the quarter.

yr_pmt

Payments during the previous 4 quarters.