| Literature DB >> 29190263 |
Jonas Z Hines, Onkemetse Conrad Ntsuape, Kananga Malaba, Tiruneh Zegeye, Kennedy Serrem, Elijah Odoyo-June, Rose Kolola Nyirenda, Wezi Msungama, Kondwani Nkanaunena, Jotamo Come, Marcos Canda, Herminio Nhaguiombe, Ella K Shihepo, Brigitte L T Zemburuka, Gram Mutandi, Emmanuel Yoboka, André H Mbayiha, Hilda Maringa, Alfred Bere, J Joseph Lawrence, Gissenge J I Lija, Daimon Simbeye, Kokuhumbya Kazaura, Ramadhani S Mwiru, Stella Alamo Talisuna, Joseph Lubwama, Geoffrey Kabuye, James Exnobert Zulu, Omega Chituwo, Maybin Mumba, Sinokuthemba Xaba, John Mandisarisa, Brittney N Baack, Lawrence Hinkle, Jonathan M Grund, Stephanie M Davis, Carlos Toledo.
Abstract
Countries in Southern and Eastern Africa have the highest prevalence of human immunodeficiency virus (HIV) infection in the world; in 2015, 52% (approximately 19 million) of all persons living with HIV infection resided in these two regions.* Voluntary medical male circumcision (VMMC) reduces the risk for heterosexually acquired HIV infection among males by approximately 60% (1). As such, it is an essential component of the Joint United Nations Programme on HIV/AIDS (UNAIDS) strategy for ending acquired immunodeficiency syndrome (AIDS) by 2030 (2). Substantial progress toward achieving VMMC targets has been made in the 10 years since the World Health Organization (WHO) and UNAIDS recommended scale-up of VMMC for HIV prevention in 14 Southern and Eastern African countries with generalized HIV epidemics and low male circumcision prevalence (3).† This has been enabled in part by nearly $2 billion in cumulative funding through the President's Emergency Plan for AIDS Relief (PEPFAR), administered through multiple U.S. governmental agencies, including CDC, which has supported nearly half of all PEPFAR-supported VMMCs to date. Approximately 14.5 million VMMCs were performed globally during 2008-2016, which represented 70% of the original target of 20.8 million VMMCs in males aged 15-49 years through 2016 (4). Despite falling short of the target, these VMMCs are projected to avert 500,000 HIV infections by the end of 2030 (4). However, UNAIDS has estimated an additional 27 million VMMCs need to be performed by 2021 to meet the Fast Track targets (2). This report updates a previous report covering the period 2010-2012, when VMMC implementing partners supported by CDC performed approximately 1 million VMMCs in nine countries (5). During 2013-2016, these implementing partners performed nearly 5 million VMMCs in 12 countries. Meeting the global target will require redoubling current efforts and introducing novel strategies that increase demand among subgroups of males who have historically been reluctant to undergo VMMC.Entities:
Mesh:
Year: 2017 PMID: 29190263 PMCID: PMC5708689 DOI: 10.15585/mmwr.mm6647a2
Source DB: PubMed Journal: MMWR Morb Mortal Wkly Rep ISSN: 0149-2195 Impact factor: 17.586
VMMCs provided in CDC-supported VMMC programs — 12 Southern and Eastern African countries, 2013–2016
| Country | Fiscal year* | Total | |||
|---|---|---|---|---|---|
| 2013 | 2014 | 2015 | 2016 | ||
| Botswana | 11,855 | 12,745 | 7,320 | 23,977 |
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| Ethiopia | 14,037 | 10,439 | 9,861 | 10,655 |
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| Kenya | 144,943 | 154,776 | 147,998 | 176,056 |
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| Malawi | 18,398 | 18,889 | 18,910 | 19,180 |
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| Mozambique | 121,369 | 141,113 | 159,299 | 184,488 |
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| Namibia | 0 | 685 | 7,132 | 10,194 |
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| Rwanda | 0 | 21,475 | 25,000 | 8,809 |
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| South Africa | 139,174 | 185,193 | 193,311 | 149,081 |
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| Tanzania | 159,230 | 278,948 | 341,544 | 181,199 |
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| Uganda | 272,182 | 329,059 | 251,815 | 225,597 |
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| Zambia | 96,183 | 154,941 | 147,962 | 126,765 |
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| Zimbabwe | 6,171 | 39,840 | 44,868 | 57,282 |
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Abbreviation: VMMC = voluntary medical male circumcision.
* October 1–September 30.
Disaggregated indicators for CDC-supported VMMC programs — 12 Southern and Eastern African countries, 2013–2016
| Country | Fiscal year* | No. of CDC-supported VMMCs performed | No. of clients aged <15 yrs (%) | No. of clients aged 15–29 yrs (%) | No. of clients aged ≥30 yrs (%) | No. of VMMCs performed using devices (%)† | No. of VMMC clients receiving HIV testing services (%)§ | No. of clients testing HIV positive (%)¶ | No. of clients with postoperative follow-up within 14 days of VMMC (%) |
|---|---|---|---|---|---|---|---|---|---|
| Botswana | 2013 | 11,855 | 4,432 (37.4) | NR (—)** | NR (—)** | 807 (6.8) | 11,855 (100.0) | 23 (0.2) | 9,880 (83.3) |
| 2014 | 12,745 | 8,765 (68.8) | NR (—)** | NR (—)** | 64 (0.5) | 12,711 (99.7) | 136 (1.1) | 4,572 (35.9)** | |
| 2015 | 7,320 | 4,759 (65.0) | 2,040 (27.9) | 521 (7.1) | 1,896 (25.9) | 5,368 (73.3) | 134 (2.5) | 4,619 (63.1) | |
| 2016 | 23,977 | 4,249 (17.7)** | 3,660 (15.3)** | 1,414 (5.9)** | 2,715 (11.3)** | 6,216 (25.9)** | 271 (4.4)** | 5,562 (23.2)** | |
| Total | 55,897 | 22,205 (39.7) | 5,700 (10.2) | 1,935 (3.5) | 5,482 (9.8) | 36,150 (64.7) | 564 (1.6) | 24,633 (44.1) | |
| Ethiopia | 2013 | 14,037 | 56 (0.4) | 11,572 (82.4) | 2,409 (17.2) | 0 (0.0) | 13,268 (94.5) | 37 (0.3) | 13,905 (99.1) |
| 2014 | 10,439 | 1,671 (16.0) | 6,880 (65.9) | 1,888 (18.1) | 0 (0.0) | 5,802 (55.6) | 4 (0.1) | 10,402 (99.6) | |
| 2015 | 9,861 | 608 (6.2) | 7,339 (74.4) | 1,914 (19.4) | 0 (0.0) | 8,081 (81.9) | 9 (0.1) | 9,861 (100.0) | |
| 2016 | 10,655 | 3,194 (30.0) | 6,143 (57.7) | 1,318 (12.4) | 0 (0.0) | 4,664 (43.8) | 5 (0.1) | 10,597 (99.5) | |
| Total | 44,992 | 5,529 (12.3) | 31,934 (71.0) | 7,529 (16.7) | 0 (0.0) | 31,815 (70.7) | 55 (0.2) | 44,765 (99.5) | |
| Kenya | 2013 | 144,943 | 52,643 (36.3) | NR (—)** | NR (—)** | 512 (0.4) | 112,657 (77.7) | 1,360 (1.2) | 45,300 (31.3)** |
| 2014 | 154,776 | 87,066 (56.3) | NR (—)** | NR (—)** | 302 (0.2) | 129,530 (83.7) | 1,380 (1.1) | 66,634 (43.1) | |
| 2015 | 147,998 | 94,634 (63.9) | 48,735 (32.9) | 4,544 (3.1) | 448 (0.3) | 133,584 (90.3) | 1,797 (1.3) | 89,724 (60.6) | |
| 2016 | 176,056 | 123,006 (69.9) | 49,075 (27.9) | 3,976 (2.3) | 2,201 (1.3) | 145,931 (82.9) | 575 (0.4) | 116,933 (66.4) | |
| Total | 623,773 | 357,349 (57.3) | 97,810 (15.7) | 8,520 (1.4) | 3,463 (0.6) | 521,702 (83.6) | 5,112 (1.0) | 318,591 (51.1) | |
| Malawi | 2013 | 18,398 | 4,749 (25.8) | NR (—)** | NR (—)** | 0 (0.0) | 18,354 (99.8) | 262 (1.4) | 13,287 (72.2) |
| 2014 | 18,889 | 8,594 (45.5) | NR (—)** | NR (—)** | 299 (1.6) | 18,867 (99.9) | 132 (0.7) | 15,099 (79.9) | |
| 2015 | 18,910 | 6,928 (36.6) | 10,033 (53.1) | 1,949 (10.3) | 2,949 (15.6) | 18,871 (99.8) | 427 (2.3) | 11,309 (59.8) | |
| 2016 | 19,180 | 9,127 (47.6) | 9,022 (47.0) | 1,031 (5.4) | 0 (0.0) | 19,022 (99.2) | 125 (0.7) | 14,956 (78.0) | |
| Total | 75,377 | 29,398 (39.0) | 19,055 (25.3) | 2,980 (4.0) | 3,248 (4.3) | 75,114 (99.7) | 946 (1.3) | 54,651 (72.5) | |
| Mozambique | 2013 | 121,369 | 62,136 (51.2) | NR (—)** | NR (—)** | 0 (0.0) | 123,909 (102.1)** | 2,944 (2.4)** | NR (—)** |
| 2014 | 141,113 | 75,469 (53.5) | NR (—)** | NR (—)** | 0 (0.0) | 143,055 (101.4)** | 1,475 (1.0)** | 98,458 (69.8) | |
| 2015 | 159,299 | 78,863 (49.5) | 72,405 (45.5) | 8,031 (5.0) | 0 (0.0) | 156,308 (98.1) | 1,844 (1.2) | 110,111 (69.1) | |
| 2016 | 184,488 | 78,117 (42.3) | 95,033 (51.5) | 11,338 (6.1) | 0 (0.0) | 172,814 (93.7) | 2,473 (1.4) | 133,781 (72.5)** | |
| Total | 606,269 | 294,585 (48.6) | 167,438 (27.6) | 19,369 (3.2) | 0 (0.0) | 596,086 (98.3) | 8,736 (1.5) | 342,350 (70.6) | |
| Namibia | 2013 | 0 | NA | NA | NA | NA | NA | NA | NA |
| 2014 | 685 | 72 (10.5) | 597 (87.2) | 16 (2.3) | 0 (0.0) | 685 (100.0) | 6 (0.9) | 562 (82.0) | |
| 2015 | 7,132 | 15 (0.2) | 5,706 (80.0) | 1,411 (19.8) | 0 (0.0) | 6,283 (88.1) | 211 (3.4) | 7,132 (100.0) | |
| 2016 | 10,194 | 1 (0.0) | 8,319 (81.6) | 1,874 (18.4) | 0 (0.0) | 8,686 (85.2) | 183 (2.1) | 10,157 (99.6) | |
| Total | 18,011 | 88 (0.5) | 14,622 (81.2) | 3,301 (18.3) | 0 (0.0) | 15,654 (86.9) | 400 (2.6) | 17,851 (99.1) | |
| Rwanda | 2013 | 0 | NA | NA | NA | NA | NA | NA | NA |
| 2014 | 21,475 | NR (—)** | NR (—)** | NR (—)** | 0 (0.0) | 17,777 (82.8) | 10 (0.1) | NR (—)** | |
| 2015 | 25,000 | 4,693 (18.8) | 17,050 (68.2) | 3,227 (12.9) | 194 (0.8) | 24,970 (99.9) | 15 (0.1) | 16,647 (66.6)** | |
| 2016 | 8,809 | 593 (6.7) | 7,255 (82.4) | 961 (10.9) | 1,336 (15.2) | 8,809 (100.0) | 9 (0.1) | 7,454 (84.6)** | |
| Total | 55,284 | 5,286 (9.6) | 24,305 (44.0) | 4,188 (7.6) | 1,530 (3.7) | 51,556 (93.3) | 34 (0.1) | 24,101 (71.3) | |
| South Africa | 2013 | 139,174 | 29,889 (21.5) | NR (—)** | NR (—)** | 0 (0.0) | 142,390 (102.3)** | 4,048 (2.8)** | 66,667 (47.9) |
| 2014 | 185,193 | 68,231 (36.8) | NR (—)** | NR (—)** | 56 (0.0) | 194,746 (105.2)** | 4,724 (2.4)** | 93,939 (50.7) | |
| 2015 | 193,311 | 84,239 (43.6) | NR (—)** | NR (—)** | 976 (0.5) | 187,859 (97.2) | 5,702 (3.0) | 93,047 (48.1) | |
| 2016 | 149,081 | 69,266 (46.5) | NR (—)** | NR (—)** | 3,903 (2.6) | 150,211 (100.8)** | 6,072 (4.0)** | 102,021 (68.4) | |
| Total | 666,759 | 251,625 (37.7) | NR (—) | NR (—) | 4,935 (0.7) | 675,206 (101.3) | 20,546 (3.0) | 355,674 (53.3) | |
| Tanzania | 2013 | 159,230 | 64,173 (40.3) | NR (—)** | NR (—)** | 0 (0.0) | NR (—)** | NR (—)** | NR (—)** |
| 2014 | 278,948 | 113,731 (40.8) | NR (—)** | NR (—)** | 0 (0.0) | 213,239 (76.4) | 1,029 (0.5) | NR (—)** | |
| 2015 | 341,544 | 142,740 (41.8) | 172,594 (50.5) | 26,210 (7.7) | 0 (0.0) | 335,105 (98.1) | 926 (0.3) | 312,691 (91.6) | |
| 2016 | 181,199 | 88,607 (48.9) | 79,239 (43.7) | 13,353 (7.4) | 0 (0.0) | 180,845 (99.8) | 458 (0.3) | 150,605 (83.1) | |
| Total | 960,921 | 409,251 (42.6) | 251,833 (26.2) | 39,563 (4.1) | 0 (0.0) | 729,189 (75.9) | 2,413 (0.3) | 463,296 (88.6) | |
| Uganda | 2013 | 272,182 | 54,608 (20.1) | NR (—)** | NR (—)** | NR (—)** | 237,830 (87.4) | NR (—)** | NR (—)** |
| 2014 | 329,059 | 112,555 (34.2) | NR (—)** | NR (—)** | NR (—)** | 298,060 (90.6) | NR (—)** | NR (—)** | |
| 2015 | 251,815 | 0 (0.0)** | 0 (0.0)** | 466 (0.2)** | 990 (0.4)** | 112,465 (44.7)** | 920 (0.8)** | 76,432 (30.4)** | |
| 2016 | 225,597 | 29,841 (13.2)** | 35,560 (15.8)** | 10,004 (4.4)** | 4,168 (1.8) | 215,240 (95.4) | 1,144 (0.5) | 173,829 (77.1)** | |
| Total | 1,078,653 | 197,004 (18.3) | 35,560 (3.3) | 10,470 (1.0) | 5,158 (0.5) | 863,595 (80.1) | 2,064 (0.2) | 250,261 (23.2) | |
| Zambia | 2013 | 96,183 | 37,310 (38.8) | NR (—)** | NR (—)** | NR (—)** | 71,407 (74.2) | 491 (0.7) | 77,350 (80.4) |
| 2014 | 154,941 | 65,481 (42.3) | NR (—)** | NR (—)** | 0 (0.0) | 116,881 (75.4) | 1,742 (1.5) | 130,360 (84.1)** | |
| 2015 | 147,962 | 52,716 (35.6) | 82,197 (55.6) | 12,701 (8.6) | 4,533 (3.1) | 125,137 (84.6) | 2,429 (1.9) | 134,762 (91.1) | |
| 2016 | 126,765 | 42,780 (33.7) | 72,290 (57.0) | 11,611 (9.2) | 691 (0.5) | 110,823 (87.4) | 1,334 (1.2) | 118,628 (93.6) | |
| Total | 525,851 | 198,287 (37.7) | 154,487 (29.4) | 24,312 (4.6) | 5,224 (1.0) | 424,248 (80.7) | 5,996 (1.4) | 461,100 (87.7) | |
| Zimbabwe | 2013 | 6,171 | 2,019 (32.7) | NR (—)** | NR (—)** | 0 (0.0) | 6,174 (100.0) | 1 (<0.1) | NR (—)** |
| 2014 | 39,840 | 14,827 (37.2) | NR (—)** | NR (—)** | 1,085 (2.7) | 39,837 (100.0) | 135 (0.3) | 36,566 (91.8) | |
| 2015 | 44,868 | 19,619 (43.7) | 22,453 (50.0) | 2,796 (6.2) | 3,452 (7.7) | 44,714 (99.7) | 230 (0.5) | 43,180 (96.2) | |
| 2016 | 57,282 | 24,784 (43.3) | 27,065 (47.2) | 5,433 (9.5) | 12,648 (22.1) | 57,136 (99.7) | 726 (1.3) | 54,772 (95.6) | |
| Total | 148,161 | 61,249 (41.3) | 49,518 (33.4) | 8,229 (5.6) | 17,185 (11.6) | 147,861 (99.8) | 1,092 (0.7) | 134,518 (94.7) | |
| All countries | 2013 | 983,542 | 312,015 (31.7) | NA | NA | 1,319 (0.1) | 737,844 (75.0) | 9,166 (1.2) | 226,389 (23.0) |
| 2014 | 1,348,103 | 556,462 (41.3) | NA | NA | 1,806 (0.1) | 1,191,190 (88.4) | 10,773 (0.9) | 456,592 (33.9) | |
| 2015 | 1,355,020 | 489,814 (44.4) | 537,722 (48.7) | 63,770 (5.8) | 15,438 (1.1) | 1,158,745 (85.5) | 14,644 (1.3) | 909,515 (67.1) | |
| 2016 | 1,173,283 | 473,565 (47.0) | 461,923 (45.8) | 62,313 (6.2) | 27,662 (2.4) | 1,080,397 (92.1) | 13,375 (1.2) | 899,295 (76.6) | |
| Total | 4,859,948 | 1,831,856 (41.2) | 999,645 (47.3) | 126,083 (6.0) | 46,225 (1.0) | 4,168,176 (85.8) | 47,958 (1.2) | 2,491,791 (51.3) | |
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Abbreviations: NA = not applicable; NR = not reported; VMMC = voluntary medical male circumcision.
* October 1–September 30.
† Circumcision devices prequalified by the World Health Organization include the PrePex and ShangRing. However, PrePex was the predominant device in use in these 12 countries during 2013–2016.
§ HIV testing services exceeded 100% for certain countries that reported persons tested for HIV at VMMC clinics who did not undergo male circumcision.
¶ HIV prevalence was calculated by dividing the number of males that tested HIV positive by the number undergoing HIV testing services at VMMC sites.
** Excluded from multi-country analyses because the sum of values in the disaggregated indicator was <85% or >100% of the total number of VMMCs reported for the given year.