Progressivity and Determinants of Out-of-Pocket Payments in Zambia

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"Explore the progressivity and determinants of out-of-pocket healthcare payments in Zambia, analyzing data sources, methodology, and measures of socio-economic status. Learn about the implications for achieving Universal Health Coverage."

  • Zambia
  • Healthcare Economics
  • Out-of-Pocket Payments
  • Universal Health Coverage
  • Progressivity

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  1. Progressivity and determinants of Out-of- Pocket Payments in Zambia Felix Mwenge & John Ataguba Health Economics Unit, University of Cape Town

  2. Universal Health Coverage (UHC) has become a global policy objective Achieving UHC depends to a large extent on how health care is financed Most countries that have achieved UHC rely less on regressive financing mechanism (e.g. South Korea, Chile, Costa Rica) OOP is one of such financing mechanisms found to be regressive in most countries Most African countries still rely on OOP as a significant source of health financing This has important implications on the achievement of UHC

  3. To assess the progressivity and determinants of out-of- pocket health care payments in Zambia

  4. METHODOLOGY

  5. Data Sources & Characteristics Survey Name Year No. Of Households LCMS I 1998 16,000 LCMS III 2004 18,000 LCMS IV 2006 19,000

  6. Measure of Socio-economic Status Equivalent household expenditure Composition of OOP payments Costs of medicines, fees to medical personnel (e.g. Doctor / Health Assistant / Midwife / Nurse / Dentist, etc), payments to hospital/health centre/surgery , fees to traditional healer Excluded health related expenses such as transport costs and patient care costs

  7. Progressivity of OOP payments K = C G K = Kakwani index of progressivity C = Concentration index of OOP payments G= Gini index of equivalent expenditure If K = 0, OOP payments are proportional If K < 0, OOP payments are regressive If K > 0, OOP payments are progressive

  8. Determinants of OOP payments (Logistic Regression) Dep variable = OOP payments (binary) Independent variables (hhsize, location, age_hh, sex_hh, ms_hh, ed_hh, SES) Determinants of size of OOP payments (Tobit Regression) Dep variable = OOP payments (continuous) Independent variables: (hhsize, location, age_hh, sex_hh, ms_hh, ed_hh, w_hh,SES)

  9. FINDINGS

  10. % of Households Reporting Illness/Injury Socio-economic Status 1998 2004 2006 Quintile 1 19 19 22 Quintile 2 Quintile 3 22 20 19 21 20 20 Quintile 4 Quintile 5 20 20 21 20 20 18 Total 100 100 100

  11. % of Households Reporting Paying OOP(OOP>0) Socio-economic Status 1998 2004 2006 Quintile 1 11 15 13 Quintile 2 18 18 20 Quintile 3 21 21 20 Quintile 4 25 22 23 Quintile 5 25 23 24 Total 100 100 100

  12. Mean Paid OOP per household in Kwacha (US$) Socio- economic Status 1998 2004 2006 Quintile 1 445 (US$0.2) 3860 (US$0.8) 1076 (US$0.3) Quintile 2 1165 (US$0.5) 3959 (US$0.8) 2989 (US$0.8) Quintile 3 2475 (US$ 1.0) 4859 (US$1.0) 4568 (US$1.3) Quintile 4 4671 (US$2.0) 9402 (US$2.0) 7693 (US$2.1) Quintile 5 12355( US$5.2) 27287 (US$5.7) 26798( US$7.4) Total 4219 (US$1.8) 9873 (US$2.1) 8623 (US$2.4)

  13. Kakwani index of progressivity of OOP payments, 1998, 2004 and 2006 P-value (5% level of significance K Year Conclusion 1998 0.34 0.000 Progressive 2004 -0.85 0.2264 Proportional 2006 0.14 0.819 Proportional

  14. Determinants of OOP Payments Variables Odds of spending OOP 1998 2004 2006 1.07*** 1.08*** 1.08*** hhsize 0.87*** location_hhold 0.94*** 0.96*** 0.98 age_hhead 0.80*** 0.81*** 0.82*** sex_hhead 1.35*** 1.35*** 1.44*** marital status_hhead 0.98*** 0.90*** 0.95*** eduation_hhead 1.32*** 1.20*** 1.32*** expenditure quintiles 14 033 16 763 16 331 n 0.0000 0.0000 0.0000 Prob>F

  15. Determinants of size of OOP Payments Variables Size of OOP Year 1998 2004 2006 1543*** 4602*** 6133*** hhsize -3298** -15715*** -16950** sex_hh 4811*** 20134*** 32851*** ms_hh -2274*** education_hh -11038** working_hh 7642*** 14129*** 29228*** Exp quintiles -58162*** -151248*** -251830*** constant 14 032 16 763 16 361 n 0.0000 0.0000 0.0000 Prob>F

  16. CONCLUSION

  17. Equity in health care payments requires that payments be progressive contributions should be made according to ability to pay Progressivity of OOP payments in 1998 could be due to concentration of payments among richer households compared to poor households This phenomenon is also common in countries where poor households cannot afford to pay OOP The results should be taken cautiously OOP payments where proportional in 2004 and 2006 o As a percentage of their total resources there was no difference in OOP contributions between rich and poor households

  18. Living in rural area was significantly associated with less likelihood of incurring OOP in 2006. This could be due to abolition of user fees in all primary rural facilities in early 2006 Likelihood of spending OOP was high among richer compared to poorer households and larger households compared to smaller ones

  19. OOP should be reconsidered as a means of paying for health care in Zambia if UHC is to be achieved More progressive payment mechanisms should be considered to achieve UHC Abolition of user fees should be extended to urban areas to achieve UHC

  20. Thank you for your attention Acknowledge financial support from: NRF (South Africa)

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