| Literature DB >> 35951660 |
Arti Singh1, Oyedunni Arulogun2, Joshua Akinyemi3, Michelle Nichols4, Benedict Calys-Tagoe5, Babatunde Ojebuyi6, Carolyn Jenkins4, Reginald Obiako7, Albert Akpalu5, Fred Sarfo8, Kolawole Wahab9, Adeniyi Sunday9, Lukman F Owolabi10, Muyiwa Adigun11, Ibukun Afolami12, Olorunyomi Olorunsogbon13, Mayowa Ogunronbi13, Ezinne Sylvia Melikam14, Ruth Laryea5, Shadrack Asibey8, Wisdom Oguike7, Lois Melikam7, Abdullateef Sule7, Musibau A Titiloye2, Isah Suleiman Yahaya10, Abiodun Bello9, Rajesh N Kalaria15, Ayodele Jegede16, Mayowa Owolabi14, Bruce Ovbiagele17, Rufus Akinyemi13.
Abstract
INTRODUCTION: Genomic research and neurobiobanking are expanding globally. Empirical evidence on the level of awareness and willingness to donate/share biological samples towards the expansion of neurobiobanking in sub-Saharan Africa is lacking. AIMS: To ascertain the awareness, perspectives and predictors regarding biological sample donation, sharing and informed consent preferences among community members in Ghana and Nigeria.Entities:
Mesh:
Year: 2022 PMID: 35951660 PMCID: PMC9371301 DOI: 10.1371/journal.pone.0267705
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Socio-demographic characteristics of study participants.
| Characteristics | Male (n = 509) | Female (n = 506) | Total (n = 1015) | p-value |
|---|---|---|---|---|
| Age: Mean(SD) | 39.62 (23.06) | 38.91 (15.16) | 39.27 (19.52) | 0.561 |
| Age group | n (%) | n (%) | n (%) | |
| < 50 | 387 (76.33) | 377 (74.80) | 764 (75.57) | 0.571 |
| > = 50 | 120 (23.67) | 127 (25.20) | 247 (24.43 | |
| Domicile | ||||
| Rural | 21 (4.14) | 27 (5.36) | 48 (4.75) | 0.470 |
| Semi-urban | 131 (25.84) | 140 (27.78) | 271 (26.81) | |
| Urban (Ref) | 355 (70.02) | 337 (66.87) | 692 (68.45) | |
| Education | ||||
| None | 16 (3.14) | 50 (9.88) | 66 (6.50) | <0.001 |
| Arabic | 4 (0.79) | 11 (2.17) | 15 (1.48) | |
| Primary | 45 (8.84) | 74 (14.62) | 119 (11.72) | |
| Secondary | 132 (25.93) | 163 (32.21) | 295 (29.06) | |
| Tertiary | 312 (61.30) | 208 (41.11) | 520 (51.23) | |
| Average monthly income | ||||
| < = 100 USD | 269 (54.79) | 292 (61.47) | 561 (58.07) | 0.004 |
| > 100 USD | 222 (45.21) | 183 (38.53) | 405 (41.93) | |
| Marital status | ||||
| Single | 230 (45.19) | 160 (31.62) | 390 (38.42) | <0.001 |
| Married | 261 (51.28) | 291 (57.51) | 552 (54.38) | |
| Formerly married | 18 (3.54) | 55 (10.87) | 73 (7.19) | |
| Living arrangement | ||||
| Alone | 160 (31.43) | 89 (17.59) | 249 (24.53) | <0.001 |
| With spouse and children | 251 (49.31) | 281 (55.53) | 532 (52.41) | |
| With children | 11 (2.16) | 52 (10.28) | 63 (6.21) | |
| With others | 87 (17.09) | 84 (16.60) | 171 (16.85) | |
| Religion | ||||
| Christianity | 308 (60.51) | 331 (65.42) | 639 (62.96) | 0.091 |
| Islam | 196 (38.51) | 174 (34.39) | 370 (36.45) | |
| Others | 5 (0.98) | 1 (0.20) | 6 (0.59) | |
| Ethnic group | ||||
| Yoruba | 229 (44.99) | 257 (50.79) | 486 (47.88) | <0.001 |
| Igbo | 23 (4.52) | 11 (2.17) | 34 (3.35) | |
| Hausa | 92 (18.07) | 66 (13.04) | 158 (15.57) | |
| Akan | 60 (11.79) | 84 (16.60) | 144 (14.19) | |
| Ga/Adangbe | 32 (6.29) | 34 (6.72) | 66 (6.50) | |
| Ewe | 8 (1.57) | 11 (2.17) | 19 (1.87) | |
| Others | 65 (12.77) | 43 (8.50) | 108 (10.64) | |
| Primary Occupation | ||||
| Highly skilled | 69 (13.56) | 34 (6.72) | 103 (10.15) | <0.01 |
| Skilled | 126 (24.75) | 122 (24.11) | 248 (24.43) | |
| Semi-skilled | 84 (16.50) | 110 (21.74) | 194 (19.11) | |
| Manual work | 53 (10.41) | 96 (18.96) | 149 (14.68) | |
| Not working | 72 (14.15) | 84 (16.60) | 156 (15.37) | |
| Students | 105 (20.63) | 60 (11.86) | 165 (16.26) |
*Arabic schools are common in Northern Nigeria. They do some sorts of formal education, but the focus is Quran. It is not equivalent to “No formal education”.
Awareness and knowledge related to blood sample donation.
| Variable/question | Male (n = 509) | Female (n = 506) | Total (n = 1015) | p-value |
|---|---|---|---|---|
|
| n (%) | n (%) | n (%) | |
| Yes | 216 (42.44) | 162 (32.02) | 378 (37.24) | 0.001 |
| No | 293 (57.56) | 344 (67.98) | 637 (62.76) | |
|
| ||||
| Yes | 151 (29.67) | 98 (19.37) | 249 (24.53) | <0.001 |
| No | 358 (70.33) | 408 (80.63) | 766 (75.47) | |
|
| ||||
| Hospital | 126 (58.33) | 121 (74.69) | 247 (65.34) | <0.001 |
| Training program | 21 (9.72) | 13 (8.02) | 34 (8.99) | 0.568 |
| Friend | 31 (14.35) | 11 (6.79) | 42 (11.11) | 0.021 |
| Colleague | 16 (7.41) | 7 (4.32) | 23 (6.08) | 0.214 |
| Newspaper/magazine | 18 (8.33) | 5 (3.09) | 23 (6.08) | 0.035 |
| Internet/online resources | 50 (23.15) | 17 (10.49) | 67 (17.72) | 0.001 |
| Seminar/conference/workshop | 23 (10.65) | 5 (3.09) | 28 (7.41) | 0.005 |
| TV | 29 (13.43) | 7 (4.32) | 36 (9.52) | 0.003 |
| Radio | 29 (13.43) | 10 (6.17) | 39 (10.32) | 0.022 |
| Outreach | 27 (12.50) | 13 (8.02) | 40 (10.58) | 0.162 |
| Family | 9 (4.17) | 6 (3.70) | 15 (3.97) | 0.820 |
|
| ||||
| Hospital | 86 (56.95) | 69 (70.41) | 155 (62.25) | 0.032 |
| Training program | 17 (11.26) | 10 (10.20) | 27 (10.84) | 0.794 |
| Friend | 18 (11.92) | 10 (10.20) | 28 (11.24) | 0.675 |
| Colleague | 8 (5.30) | 4 (4.08) | 12 (4.82) | 0.662 |
| Newspaper/magazine | 16 (10.60) | 5 (5.10) | 21 (8.43) | 0.127 |
| Internet/online resources | 32 (21.19) | 13 (13.27) | 45 (18.07) | 0.112 |
| Seminar/conference/workshop | 19 (12.58) | 3 (3.06) | 22 (8.84) | 0.010 |
| TV | 24 (15.89) | 6 (6.12) | 30 (12.05) | 0.021 |
| Radio | 18 (11.92) | 6 (6.12) | 24 (9.64) | 0.130 |
| Outreach | 15 (9.93) | 8 (8.16) | 23 (9.24) | 0.637 |
| Family | 9 (5.96) | 1 (1.02) | 10 (4.02) | 0.052 |
|
| ||||
| Yes | 57 (11.20) | 45 (8.89) | 102 (10.05) | 0.222 |
| No | 452 (88.80) | 461 (91.11) | 913 (89.95) |
Awareness and knowledge related to brain donation.
| Variable/question | Male: (n = 509) | Female: (n = 506) | Total: (n = 1015) | p-value |
|---|---|---|---|---|
|
| n (%) | n (%) | n (%) | |
| Yes | 53 (10.41) | 47 (9.29) | 100 (9.85) | 0.558 |
| No | 456 (89.59) | 459 (90.71) | 915 (90.15) | |
|
| ||||
| Hospital | 14 (26.42) | 21 (44.68) | 35 (35.00) | 0.056 |
| Training program | 7 (13.21) | 6 (12.77) | 13 (13.00) | 0.948 |
| Friend | 6 (11.32) | 6 (12.77) | 12 (12.00) | 0.824 |
| Colleague | 2 (3.77) | 0 (0.0) | 2 (2.00) | 0.179 |
| Newspaper/magazine | 8 (15.09) | 0 (0.0) | 8 (8.00) | 0.005 |
| Internet/online resources | 16 (30.19) | 8 (17.02) | 24 (24.00) | 0.124 |
| Seminar/conference/workshop | 3 (5.66) | 2 (4.26) | 5 (5.00) | 0.748 |
| TV | 13 (24.53) | 6 (12.77) | 19 (19.00) | 0.135 |
| Radio | 5 (9.43) | 5 (10.64) | 10 (10.00) | 0.841 |
| Outreach | 3 (5.66) | 2 (4.26) | 5 (5.00) | 0.748 |
| Family | 2 (3.77) | 1 (2.13) | 3 (3.00) | 0.630 |
|
| ||||
| Yes | 6 (11.32) | 5 (10.64) | 11 (11.00) | 0.913 |
| No | 47 (88.68) | 42 (89.36) | 89 (89.00) | |
|
| ||||
| Yes | 10 (27.03) | 9 (42.86) | 19 (32.76) | 0.217 |
| No | 27 (72.97) | 12 (57.14) | 39 (67.24) | |
| Yes | 37 (7.27) | 21 (4.15) | 58 (5.71) | 0.032 |
| No | 472 (92.73) | 485 (95.85) | 957 (94.29) | |
|
| ||||
| Yes | 115 (22.59) | 76 (15.02) | 191 (18.82) | 0.002 |
| No | 394 (77.41) | 430 (84.98) | 824 (81.18) | |
|
| ||||
| It will advance medicine | 73 (63.48) | 41 (53.95) | 114 (59.69) | 0.189 |
| Prevent future disease | 59 (51.30) | 24 (31.58) | 83 (43.46) | 0.007 |
| Don’t need brain after death | 38 (33.04) | 19 (25.00) | 57 (29.84) | 0.234 |
| Happy to safe a life | 63 (54.78) | 37 (48.68) | 100 (52.36) | 0.409 |
| It can help future generations | 41 (35.65) | 20 (26.32) | 61 (31.94) | 0.176 |
|
| ||||
| Want to go back to God complete | 157 (39.85) | 227 (52.79) | 384 (46.60) | <0.001 |
| Against my religion | 63 (15.99) | 62 (14.42) | 125 (15.17) | 0.530 |
| People will think I am occultic | 60 (15.23) | 34 (7.91) | 94 (11.41) | 0.001 |
| Not knowledgeable about it | 126 (31.98) | 143 (33.26) | 269 (32.65) | 0.696 |
| Don’t trust Africans | 18 (4.57) | 28 (6.51) | 46 (5.58) | 0.225 |
| Don’t trust medical systems | 119 (30.20) | 108 (25.12) | 227 (27.55) | 0.103 |
| It’s like destroying the work of God | 22 (5.58) | 24 (5.58) | 46 (5.58) | 0.999 |
| I don’t just want to | 17 (4.31) | 33 (7.67) | 50 (6.07) | 0.044 |
|
| ||||
| Agree | 88 (17.43) | 55 (10.91) | 143 (14.17) | 0.003 |
| Disagree | 417 (82.57) | 449 (89.09) | 866 (85.83) | |
|
| ||||
| Media publicity | 325 (63.85) | 329 (65.02) | 654 (64.43) | 0.697 |
| Education | 332 (65.23) | 314 (62.06) | 646 (63.65) | 0.294 |
| Legislation | 76 (14.93) | 75 (14.82) | 151 (14.88) | 0.961 |
| Involvement of religious and community members | 177 (34.77) | 149 (29.45) | 326 (32.12) | 0.069 |
| Education of people on social media | 147 (28.88) | 127 (25.10) | 274 (27.00) | 0.175 |
Willingness towards blood/brain sample donation/sharing/reuse.
| Variable/question | Male (n = 509) | Female (n = 506) | Total (n = 1015) | p-value |
|---|---|---|---|---|
| n (%) | n (%) | n (%) | ||
|
| ||||
| Yes | 393 (77.21) | 371 (73.32) | 764 (75.27) | 0.151 |
| No | 116 (22.79) | 135 (26.68) | 251 (24.73) | |
|
| ||||
| Yes | 371 (72.89) | 379 (74.90) | 750 (73.89) | 0.465 |
| No | 138 (27.11) | 127 (25.10) | 265 (26.11) | |
|
| ||||
| Yes | 352 (69.16) | 329 (65.02) | 681 (67.09) | 0.161 |
| No | 157 (30.84) | 177 (34.98) | 334 (32.91) | |
|
| ||||
| Yes | 216 (42.44) | 156 (30.83) | 372 (36.65) | <0.001 |
| No | 293 (57.56) | 350 (69.17) | 643 (63.35) | |
|
| ||||
| Yes | 299 (58.74) | 260 (51.38) | 559 (55.07) | 0.018 |
| No | 210 (41.26) | 246 (48.62) | 456 (44.93) | |
|
| ||||
| Yes | 214 (42.04) | 228 (45.06) | 442 (43.55) | 0.551 |
| No | 199 (39.10) | 182 (35.97) | 381 (37.54) | |
| None | 206 (40.47) | 206 (40.71) | 412 (40.59) | 0.337 |
| Little | 137 (26.92) | 111 (21.94) | 248 (24.43) | |
| Much | 96 (18.86) | 115 (22.73) | 211 (20.79) | |
| Total | 43 (8.45) | 45 (8.89) | 88 (8.67) |
Awareness and perception about informed consent.
| Variable/question | Male (n = 509) | Female (n = 506) | Total (n = 1015) | p-value |
|---|---|---|---|---|
| n (%) | n (%) | n (%) | ||
| 183 (35.95) | 139 (27.47) | 322 (31.72) | 0.004 | |
|
| ||||
| Broad | 104 (56.83) | 83 (59.71) | 187 (58.07) | 0.447 |
| Restricted | 35 (19.13 | 26 (18.71) | 61 (18.94) | |
| Tiered | 9 (4.92) | 10 (7.19) | 19 (5.90) | |
| Dynamic | 30 (16.39) | 14 (10.07) | 44 (13.66) | |
|
| ||||
| No one | 84 (45.90) | 43 (30.94) | 127 (39.44) | 0.086 |
| Spouse | 49 (26.78) | 50 (35.97) | 99 (30.75) | |
| Children | 14 (7.65) | 16 (11.51) | 30 (9.32) | |
| Parents | 24 (13.11) | 21 (15.11) | 45 (13.98) | |
| Religious leaders and others | 12 (6.56) | 9 (6.47) | 21 (6.52) | |
|
| ||||
| Agree | 89 (48.63) | 79 (56.83) | 168 (52.17) | 0.037 |
| Disagree | 92 (50.27) | 54 (38.85) | 146 (45.34) | |
|
| ||||
| Broad informed consent | 244 (47.94) | 260 (51.38) | 504 (49.66) | 0.546 |
| Consent forms should include a separate section relating to storage and future use of samples and data. | 314 (61.69) | 339 (67.00) | 653 (64.33) | 0.147 |
| It is personal choice to give | 372 (73.08) | 394 (77.87) | 766 (75.47) | 0.206 |
| Any blood sample collected | 220 (43.22) | 251 (49.60) | 471 (46.40) | 0.122 |
| I will participate in genomic | 126 (24.75) | 182 (35.97) | 308 (30.34) | <0.001 |
| Donor must be contacted | 189 (37.13) | 217 (42.89) | 406 (40.00) | 0.109 |
| I feel it’s a criminal offence to make profit from sample | 268 (52.65) | 289 (57.11) | 557 (54.88) | 0.224 |
Association of socio demographic characteristics and willingness to donate/share blood/brain samples.
| Variable/characteristic | AOR (95% CI) | p-value |
|---|---|---|
|
| ||
| Gender | ||
| Male | 1.37 (0.95–1.97) | 0.096 |
| Female | 1 | |
| Domicile | ||
| Rural | 0.86 (0.34–2.21) | 0.760 |
| Semi-urban | 0.93 (0.61–1.40) | 0.727 |
| Urban | 1 | |
| Education | ||
| None | 1 | |
| Arabic | 3.01 (0.25–35.66) | 0.382 |
| Primary | 1.65 (0.43–6.34) | 0.470 |
| Secondary | 3.29 (0.95–11.48) | 0.061 |
| Tertiary | 4.04 (1.11–14.76) | 0.034 |
| Religion | ||
| Christianity | 1 | |
| Islam | 1.35 (0.87–2.09) | 0.184 |
| Others | 3.69 (0.31–44.68) | 0.304 |
| Occupation | ||
| Highly skilled/professionals | 1 | |
| Skilled | 1.53 (0.72–3.28) | 0.267 |
| Semi-skilled | 2.04 (0.88–4.74) | 0.097 |
| Manual work | 1.79 (0.68–4.77) | 0.239 |
| Not working | 1.17 (0.48–2.84) | 0.731 |
| Student | 3.79 (1.61–8.94) | 0.002 |
|
| ||
| Age group | ||
| < 50 | 1 | |
| > = 50 | 1.81 (1.18–2.77) | 0.007 |
| Gender | ||
| Male | 1.31 (0.96–1.79) | 0.093 |
| Female | 1 | |
| Domicile | ||
| Rural | 0.57 (0.25–1.30) | 0.182 |
| Semi-urban | 1.01 (0.69–1.46) | 0.961 |
| Urban | 1 | |
| Education | ||
| None | 1 | |
| Arabic | 0.67(0.07–6.70) | 0.732 |
| Primary | 1.60 (0.61–4.23) | 0.343 |
| Secondary | 2.87 (1.18–6.99) | 0.021 |
| Tertiary | 3.82 (1.51–9.68) | 0.005 |
| Religion | ||
| Christianity | 1 | |
| Islam | 1.34 (0.92–1.97) | 0.130 |
| Others | 1.06 (0.09–11.87) | 0.963 |
| Ethnic group | ||
| Yoruba | 1 | |
| Igbo | 1.37 (0.61–3.11) | 0.448 |
| Hausa | 1.50 (0.85–2.66) | 0.162 |
| Akan | 1.69 (0.72–3.95) | 0.228 |
| Ga/Adangbe | 3.67 (1.45–9.27) | 0.006 |
| Ewe | 3.87 (1.13–13.28) | 0.032 |
| Others | 1.68 (0.96–2.92) | 0.068 |
| Occupation | ||
| Highly skilled/professionals | 1 | |
| Skilled | 1.43 (0.81–2.53) | 0.221 |
| Semi-skilled | 1.88 (0.96–3.67) | 0.066 |
| Manual work | 1.95 (0.94–4.06) | 0.073 |
| Not working | 1.26 (0.65–2.47) | 0.492 |
| Student | 3.86 (1.99–7.48) | <0.001 |
|
| ||
| Gender | ||
| Male | 1.17 (0.82–1.67) | 0.377 |
| Female | 1 | |
| Education | ||
| None | 1 | |
| Arabic | 2.72 (0.55–13.54) | 0.220 |
| Primary | 2.24 (1.04–4.82) | 0.039 |
| Secondary | 2.08 (1.04–4.18) | 0.040 |
| Tertiary | 3.45 (1.60–7.42) | 0.002 |
| Religion | ||
| Christianity | 1 | |
| Islam | 1.08 (0.73–1.59) | 0.694 |
| Others | 3.16 (0.27–36.25) | 0.356 |
| Ethnic group | ||
| Yoruba | 1 | |
| Igbo | 1.63(0.69–3.88) | 0.266 |
| Hausa | 3.29 (1.70–6.35) | <0.001 |
| Akan | 8.43 (2.78–25.55) | <0.001 |
| Ga/Adangbe | 6.55 (1.77–24.32) | 0.005 |
| Others | 2.93 (1.55–5.53) | 0.001 |
| Occupation | ||
| Highly skilled/professionals | 1 | |
| Skilled | 0.74 (0.39–1.42) | 0.366 |
| Semi-skilled | 1.07 (0.48–2.36) | 0.870 |
| Manual work | 0.80 (0.35–1.83) | 0.604 |
| Not working | 0.49 (0.24–1.02) | 0.057 |
| Student | 1.47 (0.65–3.16) | 0.326 |
Association of socio demographic characteristics and awareness of consent process.
| Characteristics | AOR (95% CI) | p-value |
|---|---|---|
| Age group | ||
| < 50 | 1 | |
| > = 50 | 1.28 (0.83–1.98) | 0.266 |
| Gender | ||
| Male | 1.26 (0.90–1.75) | 0.173 |
| Female | ||
| Domicile | ||
| Rural | 1.93 (0.92–4.03) | 0.080 |
| Semi-urban | 1.24 (0.84–1.83) | 0.227 |
| Urban | 1 | |
| Education | ||
| None | 1 | |
| Arabic | 0.95 (0.09–9.31) | 0.965 |
| Primary | 1.08 (0.42–2.83) | 0.870 |
| Secondary | 2.04 (0.86–4.85) | 0.107 |
| Tertiary | 6.95 (2.79–12.28) | <0.001 |
| Marital status | ||
| Single | 1 | |
| Married | 2.44 (1.13–5.27) | 0.023 |
| Formerly married | 1.59 (0.65–3.89) | 0.313 |
| Religion | ||
| Christianity | 1 | |
| Islam | 1.01 (0.68–1.52) | 0.945 |
| Others | 3.37 (0.35–32.18) | 0.293 |
| Ethnic group | ||
| Yoruba | 1 | |
| Igbo | 3.09 (1.23–7.78) | 0.017 |
| Hausa | 1.07 (0.53–2.15) | 0.852 |
| Akan | 0.89 (0.37–2.21) | 0.818 |
| Ga/Adangbe | 1.83 (0.68–4.91) | 0.232 |
| Ewe | 5.42 (1.40–20.92) | 0.014 |
| Others | 2.04 (1.08–3.89) | 0.029 |
| Occupation | ||
| Highly skilled/professionals | 1 | |
| Skilled | 0.52 (0.29–0.93) | 0.029 |
| Semi-skilled | 0.36 (0.18–0.73) | 0.004 |
| Manual work | 0.34 (0.16–0.73) | 0.001 |
| Not working | 0.45 (0.23–0.89) | 0.027 |
| Student | 0.18 (0.09–0.37) | <0.001 |