help fpcataversion: 1.0.0

Title

fpcata - Financial protection in health: catastrophic health spending

Description

fpcata computes the incidence of 'catastrophic' health spending (the % of households spending in excess of a prespecified share of total household consumption) for each of a set of thresholds specified by the user, and the concentration index for catastrophic spending (and its prob value). fpcata also computes (optionally) the incidence of catastrophic spending for each quintile of total expenditure. The measures are derived in Wagstaff and van Doorslaer (2003).

Syntax

fpcata , totexp(varname) hexp(varname) thresh(numlist) [hhsize(varname)] [hhweight(varname)] [quintile] [export]

Main arguments

- totexp(varname) indicates the variable measuring total household consumption gross of out-of-pocket health spending. Note: the variable should be the total for the household, not the per capita amount.

- hexp(varname) indicates the variable measuring total household out-of-pocket health spending. Note: the variable should also be the total for the household, not the per capita amount.

- thresh(numlist) is a list of thresholds (between 0 and 1) separated by a space, e.g. thresh(0.10 0.15).

Options

- hhsize(varname) indicates the variable measuring household size. Required if using the hhweight or quintile options.

- hhweight(varname) indicates the household weight. This option also requires the hhsize option.

- The quintile option causes fpcata to compute the incidence of catastrophic payments for each quintile of total expenditure. This option also requires the hhsize option.

- The export option causes fpcata to save the computed results to a Stata dataset and Excel file. The files are called CATAoutput.dta and CATAoutput.xls. To specify the directory where the files get written to, use the cd command. By default, the files get saved to the current directory. To display the current directory, use the pwd command.

Examples

fpcata , totexp(hh_expd) hexp(hh_hexpd) thresh(0.1)

fpcata , totexp(hh_expd) hexp(hh_hexpd) thresh(0.1 0.25) hhsize(hh_size) hhweight(hh_sampleweight)

fpcata , totexp(hh_expd) hexp(hh_hexpd) thresh(0.1) hhsize(hh_size) quintile

fpcata , totexp(hh_expd) hexp(hh_hexpd) thresh(0.05 0.1 0.25) hhsize(hh_size) hhweight(hh_sampleweight) quintile

fpcata , totexp(hh_expd) hexp(hh_hexpd) thresh(0.05 0.1 0.25) hhsize(hh_size) hhweight(hh_sampleweight) quintile export

Notes

- Some authors use income rather than consumption or expenditure when assessing the incidence of catastrophic out-of-pocket spending. This is easily handled by specifying the name of the income variable in totexp(varname). The variable should be gross of out-of-pocket payments, i.e. payments should not have been subtracted from income.

- Some authors prefer to define catastrophic spending in terms of health spending relative to nonfood consumption rather than total consumption. This is easily handled by specifying the name of the nonfood consumption variable in totexp(varname). The variable should be gross of out-of-pocket payments.

Return values

r(CIpv_15) Prob value for concentration index for catastrophic spending at 15% threshold, similarly for other thresholds
r(CIse_15) Std error for concentration index for catastrophic spending at 15% threshold, similarly for other thresholds
r(CI_15) Concentration index for catastrophic spending at 15% threshold, similarly for other thresholds
r(cata_pop_15) % of households spending more than 15% of consumption on health, similarly for other thresholds

r(cata_q1_15) % of households in poorest quintile spending more than 15% of consumption on health, similarly for other thresholds and other quintiles

Reference

- Wagstaff, A. and E. van Doorslaer (2003). "Catastrophe and impoverishment in paying for health care: with applications to Vietnam 1993-1998." Health Economics 12(11): 921-934.

Acknowledgements

fpimpov makes use of two user-written Stata programs: conindex written by Owen O'Donnell, Stephen O'Neill, Tom Van Ourti and Brendan Walsh, and tknz written by David C. Elliott and Nick Cox.

See also

fpimpov which computes the incidence of impoverishing out-of-pocket spending on health. Help: fpimpov if installed.

Authors

Patrick Hoang-Vu Eozenou (peozenou@worldbank.org), World Bank, Washington DC.

Adam Wagstaff (awagstaff@worldbank.org), World Bank, Washington DC.