| Literature DB >> 21261202 |
Nkechi G Onyeneho1, Joseph N Chukwu.
Abstract
Patent medicine vendors (PMVs) are a ubiquitous feature of the informal health sector in Nigeria. A previous study on healthcare-seeking behaviour of persons with chronic cough in southern Nigeria found that over 60% of respondents chose the PMV as a healthcare provider of first instance. This study sought to determine the willingness and capability of PMVs to play a role in the national tuberculosis (TB)-control effort. Study sites were selected through a multi-stage sampling process. In total, 388 PMVs, 17 principal officers of PMV associations, and 17 community leaders were purposively selected. Sets of structured questionnaire were administered to the PMVs while information from the principal officers of PMV associations and community leaders was elicited through in-depth interviews and focus-group discussions (FGDs). Quantitative data were collated using the Epi Info software (version 6.04) and analyzed using the SPSS software (version 15). Most (90%) PMVs indicated that they would be ready to cooperate with the national TB-control programme, if trained. Seventy-three percent attended persons with prolonged cough in the course of their career. However, 48% did not know the cause of TB. Only 3% ever-attended a training session on TB control. Sixty-six percent completed at least 12 years of schooling with secondary school certificate. Eighty percent of the community leaders were happy with the work of PMVs. About two-thirds (65.6%) of the PMVs were male. The PMVs are positively disposed to playing roles in TB control. Given this positive disposition and their widespread acceptance in healthcare-delivery in the communities, they have potentials for playing a role in TB control in southern Nigeria.Entities:
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Year: 2010 PMID: 21261202 PMCID: PMC2995025 DOI: 10.3329/jhpn.v28i6.6605
Source DB: PubMed Journal: J Health Popul Nutr ISSN: 1606-0997 Impact factor: 2.000
Distribution of PMVs (n=388) by their sociodemographic characteristics
| Sociodemographic characteristics | Rural (n=115) | Urban (n=273) | Total (n=388) |
|---|---|---|---|
| Sex | |||
| Male | 84 (73.0) | 179 (65.6) | 263 (67.8) |
| Female | 31 (27.0) | 94 (34.4) | 125 (32.2) |
| Age | |||
| ≤19 | - | 5 (1.8) | 5 (1.3) |
| 20–24 | 13 (11.3) | 32 (11.7) | 45 (11.6) |
| 25–29 | 26 (22.6) | 83 (30.4) | 109 (28.1) |
| 30–34 | 29 (25.2) | 65 (23.8) | 94 (24.2) |
| 35–39 | 14 (12.2) | 32 (11.7) | 46 (11.9) |
| 40–44 | 12 (10.4) | 26 (9.5) | 38 (9.8) |
| 45+ | 21 (18.3) | 30 (11.0) | 51 (13.1) |
| Marital status | |||
| Never-married | 52 (45.2) | 35.7 | 191 (49.2) |
| Married | 60 (52.2) | 57.9 | 193 (49.7) |
| Married before | 3 (2.6) | 1.8 | 4 (1.0) |
| Religious affiliation | |||
| Catholic | 61 (53.0) | 120 (44.0) | 181 (46.6) |
| Protestant | 25 (21.7) | 72 (26.4) | 97 (25.0) |
| Pentecostal | 29 (25.2) | 71 (26.0) | 100 (25.8) |
| Muslim | - | 6 (2.2) | 6 (1.5) |
| Other | - | 4 (1.5) | 4 (1.0) |
| Level of education attained | |||
| No formal education | 0.(0.0) | 9 (3.3) | 9 (2.3) |
| FLSC | 11 (9.6) | 24 (8.8) | 35 (9.0) |
| WASC/GCE | 82 (71.3) | 175 (64.1) | 257 (66.2) |
| OND/NCE | 19 (16.5) | 40 (14.7) | 59 (15.2) |
| HND/first degree | 3 (2.6) | 21 (7.7) | 24 (6.2) |
| Above first degree | 0 (0.0) | 4 (1.5) | 4 (1.0) |
| Length (years) in profession | |||
| >5 | 28 (24.3) | 70 (25.6) | 98 (25.3) |
| 5–9 | 40 (34.8) | 97 (35.5) | 137 (35.3) |
| 10–14 | 23 (20.0) | 66 (24.2) | 89 (22.9) |
| 15–19 | 7 (6.1) | 15 (5.5) | 22 (5.7) |
| 20–24 | 14 (12.2) | 18 (6.6) | 32 (8.2) |
| 25–29 | 1 (0.9) | 3 (1.1) | 4 (1.0) |
| 30+ | 2 (1.7) | 4 (1.5 | 6 (1.5) |
Figures in parentheses indicate percentages
*Mean age=33.21 years; mode=28 years; median=32 years; standard deviation±8.832 years;
FLSC=First school-leaving certificate;
HND=Higher national diploma;
NCE=National certificate of education;
WASC=West African school certificate;
GCE=General certificate of education;
OND=Ordinary national diploma
Distribution of respondents (n=388) by knowledge of tuberculosis
| Knowledge of tuberculosis | Rural | Urban | Total |
|---|---|---|---|
| Seen a client with tuberculosis | |||
| Yes | 87 (75.7) | 196 (71.8) | 283 (72.9) |
| No | 28 (24.3) | 77 (28.2) | 105 (27.1) |
| Signs and symptoms of tuberculosis | |||
| Cough | 44 (38.3) | 147 (53.8) | 197 (50.8) |
| Cough with blood | 33 (28.7) | 73 (27.8) | 109 (28.1) |
| Prolonged coughing (>2 weeks) | 32 (27.8) | 92 (33.7) | 124 (32.0) |
| Weight loss | 17 (14.8) | 73 (26.7) | 90 (23.2) |
| Hard cough | 15 (13.0) | 13 (4.8) | 28 (7.2) |
| Dry cough | 19 (16.5) | 25 (9.2) | 44 (11.3) |
| Difficult breathing | 26 (22.6) | 44 (16.1) | 70 (18.0) |
| Change in eye-colour | 44 (38.3) | 147 (53.8) | 191 (49.2) |
| Weak | 33 (28.7) | 76 (27.8) | 109 (28.1) |
| Change in skin-colour | 32 (27.8) | 92 (33.7) | 124 (32.0) |
| Causes of tuberculosis | |||
| Bacterial infection | 37 (32.2) | 47 (17.2) | 84 (21.6) |
| Witchcraft | 5 (95.7) | 10 (3.7) | 15 (3.9) |
| Smoking | 44 (38.3) | 45 (16.5) | 89 (22.9) |
| Dust | 29 (25.2) | 56 (20.5) | 85 (21.9) |
| Sharing utensils with infected person | 22 (19.1) | 35 (12.8) | 57 (14.7) |
| Ignorance | 15 (13.0) | 20 (7.3) | 35 (9.0) |
| Heredity | 18 (15.7) | 29 (10.6) | 47 (12.1) |
| Poor environment | 10 (8.7) | 28 (10.3) | 38 (9.8) |
| Poverty | 8 (7.0) | 31 (11.4) | 39 (10.1) |
| Do not know | 28 (24.3) | 159 (58.2) | 187 (48.2) |
| Age (years) most at risk | |||
| Children (>5) | 2 (1.7) | 15 (5.5) | 17 (4.4) |
| Children (5–10) | 5 (4.3) | 13 (4.8) | 18 (4.6) |
| Children (11–17) | 10 (8.7) | 8 (2.9) | 18 (4.6) |
| Adults (18–64) | 20 (17.4) | 19 (7.0) | 39 (10.1) |
| Aged (65+) | 16 (13.9) | 35 (12.8) | 51 (13.1) |
| All ages equally at risk | 33 (28.7) | 54 (19.8) | 87 (22.4) |
| Do not know | 29 (25.2) | 129 (47.3) | 159 (40.7) |
Figures in parentheses indicate percentages
Distribution of respondents (n=388) by action taken in response to cases
| Cases | Treat | Send for laboratory test | Prescribe and treat | Sell drugs as requested | Counsel clients | Refer to higher facility | Dispense drug as prescribed |
|---|---|---|---|---|---|---|---|
| Fever | 227 (58.5) | 31 (8.0) | 61 (15.7) | 29 (7.5) | 1 (0.3) | 13 (3.4) | 26 (6.7) |
| Malaria | 163 (42.0) | 57 (14.7) | 93 (24.0) | 28 (7.2) | 6 (1.5) | 8 (2.1) | 33 (8.5) |
| Stomach ache | 167 (43.0) | 36 (9.3) | 76 (19.6) | 22 (5.7) | 3 (0.8) | 44 (11.3) | 40 (10.3) |
| Wounds | 281 (72.4) | 8 (2.1) | 17 (4.4) | 3 (0.8) | 2 (0.5) | 48 (12.4) | 29 (7.5) |
| Typhoid | 106 (27.3) | 120 (30.9) | 53 (13.7) | 8 (2.1) | 3 (0.8) | 54 (13.9) | 44 (11.3) |
| Difficult breathing | 62 (16.0) | 50 (12.9) | 31 (8.0) | 12 (3.1) | 9 (2.3) | 188 (48.5) | 36 (9.3) |
| Pneumonia | 74 (19.1) | 25 (6.4) | 76 (19.6) | 10 (2.6) | 11 (2.8) | 143 (36.9) | 49 (12.6) |
| Minor cough | 223 (57.5) | 7 (1.8) | 76 (19.6) | 26 (6.7) | - | 17 (4.4) | 39 (10.1) |
| Prolonged cough | 127 (32.7) | 20 (5.2) | 188 (48.5) | 3 (0.8) | - | 31 (8.0) | 19 (4.9) |
| Tuberculosis | 58 (14.9) | 33 (8.5) | 18 (4.6) | - | 10 (2.6) | 222 (57.2) | 47 (12.1) |
| Asthma | 99 (25.5) | 21 (5.4) | 43 (11.1) | 14 (3.6) | 9 (2.3) | 143 (36.9) | 59 (15.2) |
| Cold and catarrh | 232 (59.8) | 4 (1.0) | 65 (16.8) | 21 (5.4) | 5 (1.3) | 13 (3.4) | 48 (12.4) |
Figures in parentheses indicate percentages
Distribution of respondents (n=388) by treatment of prolonged cough (>2 weeks) and suspected TB cases
| Treatment | Rural | Urban | Total |
|---|---|---|---|
| Treatment of prolonged cough | |||
| Yes | 98 (85.2) | 220 (79.9) | 318 (82.0) |
| No | 17 (14.8) | 53 (20.1) | 70 (18.0) |
| Treatment of suspected TB cases | |||
| Yes | 18 (15.7) | 94 (34.4) | 112 (28.9) |
| No | 97 (84.3) | 179 (65.6) | 276 (71.1) |
| Source of drugs | |||
| Hospital | 1 (1.0) | 14 (6.5) | 15 (4.7) |
| Open market | 95 (96.0) | 188 (85.5) | 283 (88.7) |
| Doctors around | 67 (67.7) | 128 (58.2) | 195 (61.1) |
| Pharmacies | 74 (74.7) | 133 (60.5) | 207 (64.9) |
| Company representatives | 4 (4.0) | 24 (10.9) | 28 (8.8) |
| Recognition of fake drugs | |||
| Efficacy on clients | 76 (76.8) | 144 (66.1) | 220 (69.4) |
| Physical look of drug | 16 (16.2) | 91 (41.7) | 107 (33.8) |
| NAFDAC number | 12 (12.6) | 24 (11.1) | 36 (11.6) |
| The source | 8 (8.1) | 2 (0.9) | 10 (3.2) |
| Usual outcome of treatment for those with prolonged cough | |||
| They all get better | 18 (18.4) | 50 (22.8) | 68 (21.5) |
| Some get better | 63 (64.3) | 125 (57.1) | 188 (59.3) |
| Some get worse | 6 (6.1) | 32 (14.6) | 38 (12.0) |
| All get worse | - | 1 (0.5) | 1 (0.3) |
| Cannot say | 11 (11.2) | 11 (5.0) | 22 (6.9) |
| Usual outcome of treatment for suspected TB cases | |||
| They all get better | 2 (11.1) | 4 (4.1) | 6 (5.2) |
| Some get better | 6 (33.3) | 28 (28.9) | 34 (29.6) |
| Some get worse | 2 (11.1) | 9 (9.3) | 11 (9.6) |
| All get worse | - | 3 (3.1) | 3 (2.6) |
| Cannot say | 8 (44.4) | 53 (54.6) | 61 (53.0) |
| Next step if condition fails to improve after treatment of suspected TB cases | |||
| Change treatment | 3 (16.7) | 6 (6.1) | 9 (7.8) |
| Increase dosage | - | 6 (6.1) | 6 (5.2) |
| Refer clients to other facilities | 11 (61.1) | 78 (79.6) | 89 (76.7) |
| Do nothing | 4 (22.2) | 14 (14.3) | 18 (15.5) |
Figures in parentheses indicate percentages;
NAFDAC=National Agency for Food and Drug Administration and Control;
TB=Tuberculosis
Distribution of respondents (n=388) by referral practice
| Referral practice | Rural | Urban | Total |
|---|---|---|---|
| Likely place to refer a client with prolonged cough (>2 weeks) | |||
| Private hospital | 82 (71.3) | 222 (81.3) | 304 (78.4) |
| Medical laboratory | 32 (27.8) | 49 (17.9) | 81 (20.9) |
| Government hospital | 15 (13.0) | 32 (11.7) | 47 (12.1) |
| Likely place to refer a suspected TB client | |||
| Nowhere | 72 (62.6) | 246 (90.1) | 318 (82.0) |
| Private hospital | 14 (12.2) | 24 (8.8) | 38 (9.8) |
| Medical laboratory | 0 (0.0) | 3 (1.1) | 3 (0.8) |
| Government hospital | 30 (26.1) | 4 (1.5) | 34 (8.8) |
| Ever-referred client with prolonged cough (>2 weeks) | |||
| Yes | 80 (69.6) | 221 (81.0) | 301 (77.6) |
| No | 35 (30.4) | 52 (19.0) | 87 (22.4) |
| Ever-referred a suspected TB client | |||
| Yes | 74 (64.3) | 182 (66.7) | 256 (66.0) |
| No | 41 (35.7) | 91 (33.3) | 132 (34.0) |
| Average time between first contact with clients with cough and referral | |||
| <1 week | 9 (11.3) | 26 (11.8) | 35 (11.6) |
| 1-<2 weeks | 38 (47.5) | 41 (18.6) | 79 (26.2) |
| 2–3 weeks | 9 (11.3) | 64 (29.0) | 73 (24.3) |
| <1 month | 7 (8.8) | 14 (6.3) | 21 (7.0) |
| >1 month | 17 (21.3) | 76 (34.4) | 93 (30.9) |
| Reasons why referral may not be made | |||
| If symptom disappears | 105 (91.3) | 244 (89.4) | 349 (89.9) |
| Client may return to me for treatment | 88 (76.5) | 204 (74.7) | 292 (75.3) |
| Client may loose confidence in me | 88 (76.5) | 204 (74.7) | 292 (75.3) |
| Client may not go to referral place | 23 (20.0) | 46 (16.8) | 69 (17.8) |
| Client may go to other PMVs instead | 24 (20.9) | 39 (14.3) | 63 (16.2) |
| Client may go to traditional healers instead | 25 (21.7) | 31 (11.4) | 56 (14.4) |
| I can handle all cases | 115 (100.0) | 249 (91.2) | 364 (93.8) |
| There are no better facilities around | 15 (13.0) | 57 (20.9) | 72 (18.6) |
| The people are very poor | 35 (30.4) | 75 (27.5) | 110 (28.4) |
Figures in parentheses indicate percentages;
PMVs=Patent medicine vendors;
TB=Tuberculosis
Fig.Referral paractices by disease conditions
Attitudes of respondents (n=388) towards involving PMVs in detection of TB cases by locality
| Attitude | Agree | Disagree |
|---|---|---|
| Involving PMDs in TB control will increase detection of TB cases in the communities | 317 (81.7) | 71 (18.3) |
| Involving PMDs in TB control will make no difference on detection of TB cases | 35 (9.0) | 353 (91.0) |
| PMDs will be reluctant to get involved because it will kill their business | 42 (10.8) | 346 (89.2) |
| PMDs will be glad to demonstrate their relevance in disease control | 338 (87.1) | 50 12.9) |
| PMDs always feel that they can handle TB cases | 69 (17.8) | 319 (82.2) |
| PMDs will see DOTS clinic as helping to provide free testing | 304 (78.4) | 84 (21.6) |
| Referring clients to DOTS clinics will be seen as delay in action | 52 (13.4) | 336 (86.6) |
| PMDs will insist on being paid for referring their clients to DOTS clinics | 36 (9.3) | 352 0.7) |
| PMDs are not bothered about testing | 31 (8.0) | 357 (92.0) |
| PMDs suspect that referring their clients to DOTS clinics is a way of losing their clients to their rivals, government health workers who actually make money in DOTS clinics | 39 (10.1) | 349 (89.9) |
| PMDs will suspect that they might get infected while attending TB clients; therefore, not get involved | 57 (14.7) | 331 (85.3) |
Figures in parentheses indicate percentages;
DOTs=Directly-observed treatment short-course;
PMVs=Patent Medicine vendors;
TB=Tuberculosis