Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share By
Past, Present, and Future of Global Health Financing: A Review of Development Assistance, Government, Out-Of-Pocket, and Other Private Spending on Health for 195 Countries, 1995-2050 Publisher Pubmed



Chang AY1 ; Cowling K1 ; Micah AE1 ; Chapin A1 ; Chen CS1 ; Ikilezi G1 ; Sadat N1 ; Tsakalos G1 ; Wu J1 ; Younker T1 ; Zhao Y1 ; Zlavog BS1 ; Abbafati C5 ; Ahmed AE6 Show All Authors
Authors
  1. Chang AY1
  2. Cowling K1
  3. Micah AE1
  4. Chapin A1
  5. Chen CS1
  6. Ikilezi G1
  7. Sadat N1
  8. Tsakalos G1
  9. Wu J1
  10. Younker T1
  11. Zhao Y1
  12. Zlavog BS1
  13. Abbafati C5
  14. Ahmed AE6
  15. Alam K7
  16. Alipour V8
  17. Aljunid SM12, 13
  18. Almalki MJ14, 15
  19. Alvisguzman N16, 17
  20. Ammar W18, 19
  21. Andrei CL23
  22. Anjomshoa M24
  23. Antonio CAT25, 26
  24. Arabloo J8
  25. Aremu O27
  26. Ausloos M28
  27. Avilaburgos L29
  28. Awasthi A31, 32
  29. Ayanore MA33
  30. Azari S8
  31. Azzopardimuscat N34, 35
  32. Bagherzadeh M36
  33. Barnighausen TW37, 40
  34. Baune BT45
  35. Bayati M46
  36. Belay YB48, 51
  37. Belay YA52
  38. Belete H53
  39. Berbada DA54
  40. Berman AE55
  41. Beuran M20
  42. Bijani A56
  43. Busse R58
  44. Cahuanahurtado L29
  45. Camera LA59
  46. Catalalopez F61
  47. Chauhan BG62, 65
  48. Constantin MM21, 66
  49. Crowe CS2
  50. Cucu A23, 30
  51. Dalal K67, 68
  52. De Neve JW37
  53. Deiparine S1
  54. Demeke FM69
  55. Do HP70
  56. Dubey M72
  57. Tantawi ME73, 74
  58. Eskandarieh S75
  59. Esmaeili R86
  60. Fakhar M89
  61. Fazaeli AA91
  62. Fischer F90
  63. Foigt NA92
  64. Fukumoto T93, 94
  65. Fullman N1
  66. Galan A30
  67. Gamkrelidze A95
  68. Gezae KE49
  69. Ghajar A76, 96
  70. Ghashghaee A9
  71. Goginashvili K97
  72. Haakenstad A1, 41
  73. Bidgoli HH98
  74. Hamidi S99
  75. Harb HL100
  76. Hasanpoor E101
  77. Hassen HY102, 104
  78. Hay SI1, 3
  79. Hendrie D105
  80. Henok A103
  81. Herediapi I29
  82. Herteliu C106
  83. Hoang CL71
  84. Hole MK107
  85. Rad EH108
  86. Hossain N110, 111
  87. Hosseinzadeh M113, 114
  88. Hostiuc S22
  89. Ilesanmi OS116
  90. Irvani SSN77, 117
  91. Jakovljevic M118
  92. Jalali A119
  93. James SL1
  94. Jonas JB38, 125
  95. Jurisson M126
  96. Kadel R127
  97. Matin BK120
  98. Kasaeian A78, 85
  99. Kasaye HK128
  100. Kassaw MW130, 131
  101. Karyani AK121
  102. Khabiri R79, 132
  103. Khan J63
  104. Khan MN134, 135
  105. Khang YH136, 137
  106. Kisa A138, 139
  107. Kissimovaskarbek K140
  108. Kohler S37
  109. Koyanagi A141, 142
  110. Krohn KJ1
  111. Leung R143
  112. Lim LL144, 145
  113. Lorkowski S146, 147
  114. Majeed A148
  115. Malekzadeh R47, 80
  116. Mansourian M10
  117. Mantovani LG150
  118. Massenburg BB2
  119. Mckee M151
  120. Mehta V152
  121. Meretoja A153
  122. Meretoja TJ154, 155, 156
  123. Kostova NM157
  124. Miller TR105, 158
  125. Mirrakhimov EM159, 160
  126. Mohajer B75, 77
  127. Darwesh AM115
  128. Mohammed S39, 161
  129. Mohebi F77, 81
  130. Mokdad AH1, 3
  131. Morrison SD4
  132. Mousavi SM82
  133. Muthupandian S50
  134. Nagarajan AJ162, 163
  135. Nangia V164
  136. Negoi I20
  137. Nguyen CT165
  138. Nguyen HLT165
  139. Nguyen SH71
  140. Nosratnejad S133
  141. Oladimeji O166, 167
  142. Olgiati S168
  143. Olusanya JO169
  144. Onwujekwe OE170
  145. Otstavnov SS171
  146. Pana A106, 172
  147. Pereira DM173, 175
  148. Piroozi B176
  149. Prada SI177
  150. Qorbani M178
  151. Rabiee M179
  152. Rabiee N36, 180
  153. Rafiei A87, 88
  154. Rahim F83, 181
  155. Rahimimovaghar V84
  156. Ram U64
  157. Ranabhat CL182, 183
  158. Ranta A184, 185
  159. Rawaf DL149, 186
  160. Rawaf S148, 187
  161. Rezaei S122
  162. Roro EM129, 188
  163. Rostami A57
  164. Rubino S189
  165. Salahshoor M190
  166. Samy AM191
  167. Sanabria J192, 193
  168. Santos JV174, 194
  169. Milicevic MMS195
  170. Jose BPS196
  171. Savic M197
  172. Schwendicke F198
  173. Sepanlou SG47, 80
  174. Sepehrimanesh M109
  175. Sheikh A42, 199
  176. Shrime MG44
  177. Sisay S200
  178. Soltani S201
  179. Soofi M122, 123
  180. Srinivasan V1
  181. Tabaresseisdedos R202, 203
  182. Torre A1
  183. Tovanipalone MR204
  184. Tran BX205
  185. Tran KB206, 207
  186. Undurraga EA208, 209
  187. Valdez PR60, 210
  188. Van Boven JFM211, 212
  189. Vargas V43, 213
  190. Veisani Y214
  191. Violante FS215
  192. Vladimirov SK216, 217
  193. Vlassov V218
  194. Vollmer S40, 219
  195. Vu GT71
  196. Wolfe CDA220, 221
  197. Yonemoto N222
  198. Younis MZ223, 224
  199. Yousefifard M11
  200. Zaman SB112
  201. Zangeneh A123
  202. Ziapour A124
  203. Chew A1
  204. Murray CJL1, 3
  205. Dieleman JL1, 3

Source: The Lancet Published:2019


Abstract

Background: Comprehensive and comparable estimates of health spending in each country are a key input for health policy and planning, and are necessary to support the achievement of national and international health goals. Previous studies have tracked past and projected future health spending until 2040 and shown that, with economic development, countries tend to spend more on health per capita, with a decreasing share of spending from development assistance and out-of-pocket sources. We aimed to characterise the past, present, and predicted future of global health spending, with an emphasis on equity in spending across countries. Methods: We estimated domestic health spending for 195 countries and territories from 1995 to 2016, split into three categories-government, out-of-pocket, and prepaid private health spending-and estimated development assistance for health (DAH) from 1990 to 2018. We estimated future scenarios of health spending using an ensemble of linear mixed-effects models with time series specifications to project domestic health spending from 2017 through 2050 and DAH from 2019 through 2050. Data were extracted from a broad set of sources tracking health spending and revenue, and were standardised and converted to inflation-adjusted 2018 US dollars. Incomplete or low-quality data were modelled and uncertainty was estimated, leading to a complete data series of total, government, prepaid private, and out-of-pocket health spending, and DAH. Estimates are reported in 2018 US dollars, 2018 purchasing-power parity-adjusted dollars, and as a percentage of gross domestic product. We used demographic decomposition methods to assess a set of factors associated with changes in government health spending between 1995 and 2016 and to examine evidence to support the theory of the health financing transition. We projected two alternative future scenarios based on higher government health spending to assess the potential ability of governments to generate more resources for health. Findings: Between 1995 and 2016, health spending grew at a rate of 4.00% (95% uncertainty interval 3.89-4.12) annually, although it grew slower in per capita terms (2.72% [2.61-2.84]) and increased by less than $1 per capita over this period in 22 of 195 countries. The highest annual growth rates in per capita health spending were observed in upper-middle-income countries (5.55% [5.18-5.95]), mainly due to growth in government health spending, and in lower-middle-income countries (3.71% [3.10-4.34]), mainly from DAH. Health spending globally reached $8.0 trillion (7.8-8.1) in 2016 (comprising 8.6% [8.4-8.7] of the global economy and $10.3 trillion [10.1-10.6] in purchasing-power parity-adjusted dollars), with a per capita spending of US$5252 (5184-5319) in high-income countries, $491 (461-524) in upper-middle-income countries, $81 (74-89) in lower-middle-income countries, and $40 (38-43) in low-income countries. In 2016, 0.4% (0.3-0.4) of health spending globally was in low-income countries, despite these countries comprising 10.0% of the global population. In 2018, the largest proportion of DAH targeted HIV/AIDS ($9.5 billion, 24.3% of total DAH), although spending on other infectious diseases (excluding tuberculosis and malaria) grew fastest from 2010 to 2018 (6.27% per year). The leading sources of DAH were the USA and private philanthropy (excluding corporate donations and the Bill & Melinda Gates Foundation). For the first time, we included estimates of China's contribution to DAH ($644.7 million in 2018). Globally, health spending is projected to increase to $15.0 trillion (14.0-16.0) by 2050 (reaching 9.4% [7.6-11.3] of the global economy and $21.3 trillion [19.8-23.1] in purchasing-power parity-adjusted dollars), but at a lower growth rate of 1.84% (1.68-2.02) annually, and with continuing disparities in spending between countries. In 2050, we estimate that 0.6% (0.6-0.7) of health spending will occur in currently low-income countries, despite these countries comprising an estimated 15.7% of the global population by 2050. The ratio between per capita health spending in high-income and low-income countries was 130.2 (122.9-136.9) in 2016 and is projected to remain at similar levels in 2050 (125.9 [113.7-138.1]). The decomposition analysis identified governments' increased prioritisation of the health sector and economic development as the strongest factors associated with increases in government health spending globally. Future government health spending scenarios suggest that, with greater prioritisation of the health sector and increased government spending, health spending per capita could more than double, with greater impacts in countries that currently have the lowest levels of government health spending. Interpretation: Financing for global health has increased steadily over the past two decades and is projected to continue increasing in the future, although at a slower pace of growth and with persistent disparities in per-capita health spending between countries. Out-of-pocket spending is projected to remain substantial outside of high-income countries. Many low-income countries are expected to remain dependent on development assistance, although with greater government spending, larger investments in health are feasible. In the absence of sustained new investments in health, increasing efficiency in health spending is essential to meet global health targets. © 2019 The Author(s).
Other Related Docs
4. The Projection of Iran’S Healthcare Expenditures by 2030: Evidence of a Time-Series Analysis, International Journal of Health Policy and Management (2022)