| Literature DB >> 35439984 |
Laura Jean Podewils1,2, Elizabeth F Long3,4, Tyler J Fuller3,4, David Mwakazanga5, Kelvin Kapungu5, Mathias Tembo5, Sydney Mwanza5, Kathryn G Curran3, Jonathan P Smith6,7, James L Tobias3,7, Webster Kasongo5.
Abstract
BACKGROUND: Mineworkers in Southern Africa have the highest rates of tuberculosis (TB) among working populations in the world (The World Bank, Benefits and costs associated with reducing tuberculosis among Southern Africa's mineworkers, 2014), making mineworkers a key population for TB program efforts. The current evaluation aimed to characterize mineworkers and former (ex-) mineworkers, and assess knowledge, attitudes and practices related to TB and HIV care among mineworkers and healthcare workers (HCWs) in Zambia.Entities:
Keywords: Africa; HIV; Healthcare; KAPs; Miners; Mining; Policy; TB
Mesh:
Year: 2022 PMID: 35439984 PMCID: PMC9018205 DOI: 10.1186/s12889-022-13053-8
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 4.135
Sociodemographic and work characteristics of mineworkers participating in KAP surveys, Zambia (N = 2,792). Numbers are n and % unless otherwise specified
| Province of Work | ||||
| Copperbelt | 1711 (61.3) | 1077 (55.1) | 634 (75.8) | |
| North-Western | 1081 (38.7) | 879 (44.9) | 202 (24.2) | < 0.001 |
| Age, years – median(IQR) | 38 (21, 48) | 53 (31, 42) | 53 (37, 62) | < 0.001 |
| Gender | ||||
| Male | 2763 (99.0) | 1933 (98.8) | 830 (99.3) | |
| Female | 29 (1.0) | 23 (1.2) | 6 (0.7) | 0.27 |
| Highest Education | ||||
| None | 35 (1.3) | 16 (0.8) | 19 (2.3) | |
| Primary | 154 (5.5) | 61 (3.1) | 93 (11.1) | |
| Junior Secondary | 532 (19.1) | 312 (16.0) | 220 (26.3) | |
| Senior Secondary | 1365 (48.9) | 994 (50.9) | 369 (44.1) | |
| College/University | 706 (25.3) | 571 (29.2) | 135 (16.2) | < 0.001 |
| Marital Status | ||||
| Never married | 381 (13.7) | 332 (17.0) | 49 (5.9) | |
| Married/Partner | 2308 (82.6) | 1573 (80.4) | 735 (87.9) | |
| Divorced, Separated, Widowed | 103 (3.7) | 51 (2.6) | 52 (6.2) | < 0.001 |
| Number of years worked in the mines, median (IQR) | 10 (5, 18) | 9 (5,13) | 19 (7, 29) | < 0.001 |
| Type of employment | ||||
| Mining company | 1833 (65.7) | 1215 (62.1) | 618 (73.9) | |
| Contract | 959 (34.4) | 741 (37.9) | 218 (26.1) | < 0.001 |
| Type of minerals/commodity–most recent mining work | ||||
| Copper | 2640 (94.6) | 1818 (92.9) | 822 (98.3) | |
| Emeralds/precious stones/gems | 97 (3.5) | 95 (4.9) | 2 (0.2) | |
| Gold or Cobalt | 18 (0.6) | 13 (0.6) | 5 (0.6) | |
| Not specified/general | 37 (1.3) | 30 (1.5) | 7 (0.9) | < 0.001 |
| Occupational environment – most recent mining work | ||||
| Underground | 1026 (37.2) | 626 (32.4) | 400 (48.5) | |
| Surface (not open pit) | 880 (31.9) | 604 (31.3) | 276 (33.4) | |
| Open pit | 850 (30.9) | 701 (36.3) | 149 (18.1) | < 0.001 |
| Type of residencea | ||||
| Family residence | 1275 (65.2) | 1275 (65.2) | – | – |
| Work/mining residence only | 681 (34.8) | 681 (34.8) | – | – |
IQR interquartile range, p-values based on χ2 for categorical and Wilcoxon rank-sum test for test of medians
aType of residence utilizing while working in the mines only asked of current mineworkers
Fig. 1Geographic distribution of participants completing the mineworker KAP survey, by province and employment status
Fig. 2Illustration of number and location of residences among mineworkers in the Copperbelt and North-Western Province who completed the KAP survey and reported ≥ 1 home
Occupational characteristics of HCWs who completed KAP surveys, Zambia (n = 94)
| Characteristic | n (%) |
|---|---|
| Type of Health Facility | |
| Mining owned or contracted | 11 (11.7) |
| Government health centre or hospital | 57 (60.6) |
| Private (incl. NGOs) | 13 (13.8) |
| Other | 3 (3.2) |
| Job title | |
| Clinician or Medical Officer | 19 (20.4) |
| Nurse | 18 (19.4) |
| Enrolled Nurse | 20 (21.5) |
| TB/HIV Coordinator | 3 (3.2) |
| Other | 9 (9.6) |
| Years in Current Position | |
| < 2 years | 19 (20.2) |
| 2–5 years | 29 (41.5) |
| > 5 years | 36 (38.3) |
Sociodemographic characteristics of mineworkers and ex-mineworkers participating in FGDs, Zambia (N = 271). Numbers are n and % unless otherwise specified
| Focus Group Discussion | Total | Mineworkers n (%) | Ex-mineworkers | Males | Females n (%) | Age Median (IQR) | Years in Mine Median (IQR) |
|---|---|---|---|---|---|---|---|
| Chambishi 1 | 8 | 1 (12.5) | 7 (87.5) | 8 (100) | 0 | 54 (38, 62) | 14 (10, 22) |
| Chambishi 2 | 10 | 10 (100) | 0 | 10 (100) | 0 | 36 (28, 50) | 6 (3, 17) |
| Chambishi 3 | 9 | 9 (100) | 0 | 9 (100) | 0 | 32 (25, 38) | 6 (3, 8.5) |
| Chililabombwe 1 | 10 | 0 | 10 (100) | 10 (100) | 0 | 46 (39, 51) | 19 (7, 25) |
| Chililabombwe 2 | 8 | 8 (100) | 0 | 8 (100) | 0 | 39 (35, 44) | 15 (10, 18) |
| Chingola 1 | 10 | 0 | 10 (100) | 10 (100) | 0 | 62 (48, 64) | 29 (12, 32) |
| Chingola 2 | 8 | 8 (100) | 0 | 8 (100) | 0 | 41 (35, 50) | 18 (10, 21) |
| Chingola 3 | 10 | 10 (100) | 0 | 10 (100) | 0 | 29 (27, 31) | 6 (5, 8) |
| Kagem 1 | 10 | 10 (100) | 0 | 10 (100) | 0 | 43 (41, 44) | 13 (9, 18) |
| Kagem 2 | 10 | 10 (100) | 0 | 10 (100) | 0 | 26 (24, 29) | 4 (1, 5) |
| Kagem 3 | 10 | 10 (100) | 0 | 10 (100) | 0 | 30 (26, 39) | 4 (2, 6) |
| Kalulushi 1 | 8 | 6 (75.0) | 2 (25.0) | 8 (100) | 0 | 39 (36, 41) | 12 (9, 14) |
| Kalulushi 2 | 9 | 8 (89.0) | 1 (11.0) | 9 (100) | 0 | 32 (28, 43) | 9 (6, 15) |
| Kitwe 1 | 10 | 0 | 10 (100) | 10 (100) | 0 | 56 (53, 61) | 21 (20, 26) |
| Kitwe 2 | 10 | 10 (100) | 0 | 10 (100) | 0 | 41 (36, 50) | 14 (10, 30) |
| Kitwe 3 | 10 | 10 (100) | 0 | 10 (100) | 0 | 28 (26, 29) | 5 (3, 6) |
| Luanshya 1 | 11 | 0 | 11 (100) | 11 (100) | 0 | 43 (39, 49) | 15 (14, 28) |
| Luanshya 2 | 7 | 7 (100) | 0 | 7 (100) | 0 | 34 (30, 38) | 10 (5, 26) |
| Mufulira 1 | 10 | 0 | 10 (100) | 10 (100) | 0 | 54 (37, 56) | 25 (13, 30) |
| Mufulira 2 | 11 | 11 (100) | 0 | 11 (100) | 0 | 42 (40, 47) | 11 (8, 20) |
| Mufulira 3 | 10 | 7 (70.0) | 3 (30.0) | 10 (100) | 0 | 26 (24, 29) | 2 (1, 7) |
| Mufulira 4 | 7 | 0 | 7 (100) | 0 | 7 (100) | 30 (26, 31) | 3 (2, 5) |
| Kalumbila 1 | 10 | 10 (100) | 0 | 10 (100) | 0 | 34 (38, 42) | 3 (1, 7) |
| Kalumbila 2 | 7 | 7 (100) | 0 | 0 | 7 (100) | 29 (24, 32) | 6 (4, 11) |
| Lumwana 1 | 7 | 7 (100) | 0 | 7 (100) | 0 | 32 (29, 33) | 8 (6, 10) |
| Lumwana 2 | 6 | 6 (100) | 0 | 0 | 6 (100) | 34 (39, 36) | 7 (4, 8) |
| Lumwana 3 | 11 | 0 | 11 (100) | 11 (100) | 0 | 34 (31, 38) | 3 (2, 8) |
| Solwezi 1 | 10 | 0 | 10 (100) | 10 (100) | 0 | 41 (35, 45) | 9 (5, 13) |
| Solwezi 2 | 8 | 8 (100) | 0 | 8 (100) | 0 | 33 (32, 36) | 11 (7, 12) |
| Solwezi 3 | 6 | 6 (100) | 0 | 3 (50.0) | 3 (50.0) | 36 (32, 45) | 10 (5, 13) |
IQR interquartile range; p-values based on χ2 for categorical and Wilcoxon rank-sum test for test of medians
Fig. 3TB Symptoms among Mineworkers and Ex-Mineworkers, Zambia (n = 2,792)
Mineworkers’ knowledge and attitudes related to ability to work in the mines if you’ve had TB in the Copperbelt and North-Western Provinces, Zambia (n = 2,792). Numbers are n and % unless otherwise specified
| What is the government policy related to working in the mines | |
| Cannot work in the mines ever | 1146 (41.0) |
| Can work once non-infectious | 632 (22.6) |
| Can work light duty | 49 (1.8) |
| Don’t know | 965 (34.6) |
| If you have TB, you are allowed to work in the mines | |
| No | 1817 (70.9) |
| Yes/Yes after treatment | 746 (29.1) |
| If you had TB you would tell your supervisor at work | |
| No | 2148 (76.9) |
| Yes | 644 (23.1) |
| If you had TB you would tell your spouse | |
| No | 733 (26.3) |
| Yes | 2059 (73.8) |