data1042: Dataset on Health, Insurance, and Financial Destitution in...

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Dataset on Health, Insurance, and Financial Destitution in Vietnam

Description

A dataset of 1,042 inpatients from hospitals in Northern Vietnam, collected over 20 months (August 2014 – March 2016). The dataset covers healthcare access, health insurance, treatment costs, financial burden, and socio-demographic variables. It has been used in multiple peer-reviewed publications.

Usage

data(data1042)

Format

A data frame with 1,042 observations and 45 variables. Selected variables:

Age

Patient's age.

Burden

Financial burden after treatment.

Days

Length of hospital stay.

Dcost

Daily hospital cost.

Edu

Educational attainment.

End

Treatment outcome.

IfHigher

Expected financial impact if treatment continued.

Illness

Severity/type of illness.

Income

Annual income.

Insured

Whether the patient had insurance.

Pchar

Portion covered by charity.

Pinc

Portion covered by income.

Pins

Portion covered by insurance reimbursement.

Ploan

Portion covered by loans.

Res

Region of residence.

SES

Socioeconomic status.

SatIns

Satisfaction with insurance.

Saving

Percentage of savings used.

Sex

Patient's gender (1 = female, 2 = male).

Spent

Total amount spent on treatment.

AvgCost

Not yet documented.

Dcost_USD

Not yet documented.

EnvL

Not yet documented.

Hospital

Not yet documented.

ID

Not yet documented.

Ill2

Not yet documented.

IncRank

Not yet documented.

Income_USD

Not yet documented.

InsGap

Not yet documented.

InsL

Not yet documented.

InsL2

Not yet documented.

Jcond

Not yet documented.

LoanL

Not yet documented.

MaxIns

Not yet documented.

SatServ

Not yet documented.

Senv

Not yet documented.

Spent_USD

Not yet documented.

Srel

Not yet documented.

Stay

Not yet documented.

Streat

Not yet documented.

WkYrs

Not yet documented.

References

Ho, M.T.; La, V.P.; Nguyen, M.H.; Vuong, Q.H. et al. (2019). "Health care, health insurance and economic destitution: A dataset of 1042 stories." Data, 4.
https://www.mdpi.com/journal/data

Related studies:

• Vuong, Q.H. (2015). Be rich or don’t be sick. SpringerPlus. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1186/s40064-015-1279-x")}

• Vuong, Q.H. (2016). Data on Vietnamese patients’ financial burdens. Data in Brief. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.dib.2016.09.040")}

• Vuong, Q.H. (2017). Health insurance thresholds in Vietnam. Biomedical Research.

Examples

data(data1042)

# View structure
str(data1042)

# Summarize financial burden
table(data1042$Burden)

bayesvl documentation built on June 8, 2025, 10:38 a.m.