A Comparative Analysis of Patient Profiles and Health Service Utilization between Patent Medicine Vendors and Community Pharmacists in Nigeria
Abstract
:1. Background
2. Methodology
2.1. Study Design
2.2. Study Setting
2.3. Study Size
2.4. Sampling Technique
2.4.1. Stage 1: Selection of Study LGAs
2.4.2. Stage 2: Selection of PMVs and CPs
2.4.3. Stage 3 Selection of PMVs and CPs Not Formally Affiliated with NTBLCP
2.4.4. Stage 4: Selection of PMV and CP Shop Owners
2.5. Participants
2.6. Inclusion Criteria
- Age ≥ 18 years;
- CPs and PMVs registered with relevant professional associations;
- PMVs and CPs not currently affiliated with NTBLCP;
- PMVs and CPs currently licensed by Pharmacy Council of Nigeria;
- Having a physical shop where the vendor operates.
2.7. Variables
2.8. Data Source and Measures
2.9. Bias
2.10. Data Collection
2.11. Data Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Variables | PMV | CP | Total |
---|---|---|---|
Sex | |||
Male | 186 (58.3%) | 57 (68.7%) | 243 (60.4%) |
Female | 133 (41.7%) | 26 (31.3%) | 159 (39.6%) |
State | |||
Lagos | 230 (71.4%) | 79 (95.2%) | 309 (76.3%) |
Kebbi | 92 (28.6%) | 4 (4.8%) | 96 (23.7%) |
LGA | |||
Agege | 29 (9.0%) | 8 (9.6%) | 37 (9.1%) |
Ikeja | 3 (0.9%) | 2 (2.4%) | 5 (1.2%) |
Ifelodun Ajeromi | 16 (5.0%) | 5 (6.0%) | 21 (5.2%) |
Alimosho | 64 (19.9%) | 29 (34.9%) | 93 (23.0%) |
Kosofe | 7 (2.2%) | 10 (12.0%) | 17 (4.2%) |
Shomolu | 0 (0.0%) | 3 (3.6%) | 3 (0.7%) |
Ojo | 51 (15.8%) | 13 (15.7%) | 64 (15.8%) |
Badagry | 6 (1.9%) | 0 (0.0%) | 6 (1.5%) |
Apapa | 28 (8.7%) | 0 (0.0%) | 28 (6.9%) |
Mushin | 8 (2.5%) | 1 (1.2%) | 9 (2.2%) |
Amuwo odofin | 5 (1.6%) | 6 (7.2%) | 11 (2.7%) |
Oshodi | 3 (0.9%) | 2 (2.4%) | 5 (1.2%) |
Ifako Ijaye | 10 (3.1%) | 0 (0.0%) | 10 (2.5%) |
Koko-besse | 35 (10.9%) | 1 (1.2%) | 36 (8.9%) |
Argungu | 50 (15.5%) | 0 (0.0%) | 50 (12.3%) |
Yauri | 7 (2.2%) | 3 (3.6%) | 10 (2.5%) |
Level of Education | |||
Primary | 7 (2.2%) | 0 (0.0%) | 7 (1.7%) |
Secondary | 162 (50.3%) | 0 (0.0%) | 162 (40.0%) |
Tertiary | 153 (47.5%) | 83 (100.0%) | 236 (58.3%) |
Medical Education | |||
No | 105 (32.6%) | 0 (0.0%) | 105 (25.9%) |
Yes | 217 (67.4%) | 83 (100%) | 300 (74.1%) |
Specify Medical Education (N = 201) | |||
Tier 1 PMV | 262 (82.6%) | N/A | 262 (82.6%) |
Tier 2 PMV | 49 (15.5%) | 49 (15.5%) | |
Tier 3 PMV | 6 (1.9%) | 6 (1.9%) | |
Years in Business | |||
0–5 yrs | 88 (27.3%) | 27 (32.5%) | 115 (28.4%) |
6 yrs and above | 234 (72.7%) | 56 (67.5%) | 290 (71.6%) |
Trained on TB | |||
No | 245 (76.1%) | 41 (49.4%) | 286 (70.6%) |
Yes | 77 (23.9%) | 42 (50.6%) | 119 (29.4%) |
Number of Apprentices | |||
None | 129 (40.1%) | 1 (1.2%) | 130 (32.1%) |
1–2 | 132 (41.0%) | 19 (22.9%) | 151 (37.3%) |
3 and above | 61 (18.9%) | 63 (75.9%) | 124 (30.6%) |
Clients per actual average no. (N = 209) | |||
1–10 | 110 (58.2%) | 5 (25.0%) | 115 (55.0%) |
11–20 | 79 (41.8%) | 15 (75.0%) | 94 (45.0%) |
Keep any treatment record | |||
No | 234 (72.7%) | 43 (51.8%) | 277 (68.4%) |
Yes/not seen | 52 (16.1%) | 20 (24,1%) | 72 (17.8%) |
Yes/seen | 36 (11.2%) | 20 (24.1%) | 56 (13.8%) |
Referred coughing person in one month | |||
No | 164 (50.9%) | 45 (54.2%) | 209 (51.6%) |
Yes | 158 (49.1%) | 38 (45.8%) | 196 (48.4%) |
Kept referral records | |||
No | 276 (85.7%) | 67 (80.7%) | 343 (84.7%) |
Yes/not seen | 30 (9.3%) | 9 (10.8%) | 39 (9.6%) |
Yes/seen | 16 (5.0%) | 7 (8.4%) | 23 (5.7%) |
Willing to be engaged as a TB treatment center | |||
No | 8 (2.5%) | 1 (1.2%) | 9 (2.2%) |
Yes | 314 (97.5%) | 82 (98.8%) | 396 (97.8%) |
Variables | PMV | CP | p-Value |
---|---|---|---|
Types of health services utilized | |||
Out of 10 visiting clients, what proportion are with cough (N = 396) | 28.4 ± 10.71 | 26.1 ± 7.97 | 0.065 |
Out of 10 visiting clients, what proportion are with fever (N = 395) | 39.1 ± 14.63 | 40.1 ± 11.91 | 0.514 |
Out of 10 visiting clients, how many are with diarrhea (N = 391) | 14.4 ± 8.98 | 12.8 ± 7.08 | 0.083 |
Out of 10 visiting clients, what proportion are with family planning needs (N = 387) | 10 ± 8.59 | 9.3 ± 5.65 | 0.333 |
Out of 10 visiting clients, what proportion are with STDs (N = 386) | 9.2 ± 8.74 | 12.3 ± 7.12 | *0.03 |
Utilization by Age | |||
Out of 10 visiting clients, what proportion are usually adults <15 yrs (N = 398) | 54.3 ± 17.77 | 61.2 ± 15.01 | * <0.001 |
Out of 10 visiting clients, what proportion are usually children >15 yrs (N = 398) | 45.7 ± 17.51 | 38.6 ± 14.83 | |
Utilization by type of purchaser | |||
Out of 10 visiting clients, what proportion usually buy for himself/herself (N = 399) | 61.9 ± 16.68 | 63.3 ± 13.44 | 0.429 |
Out of 10 visiting clients, what proportion usually buy for someone who is sick at home (N = 400) | 38.1 ± 17.17 | 36.6 ± 13.46 | 0.364 |
Utilization by Gender | |||
Out of 10 visiting clients, what proportion are usually male clients (N = 399) | 50.8 ± 17.29 | 47.1 ± 9.94 | *0.013 |
Out of 10 visiting clients, what proportion are usually female clients (N = 400) | 49.2 ± 17.15 | 52.9 ± 9.94 |
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Adepoju, V.A.; Oladimeji, O. A Comparative Analysis of Patient Profiles and Health Service Utilization between Patent Medicine Vendors and Community Pharmacists in Nigeria. Healthcare 2023, 11, 2484. https://doi.org/10.3390/healthcare11182484
Adepoju VA, Oladimeji O. A Comparative Analysis of Patient Profiles and Health Service Utilization between Patent Medicine Vendors and Community Pharmacists in Nigeria. Healthcare. 2023; 11(18):2484. https://doi.org/10.3390/healthcare11182484
Chicago/Turabian StyleAdepoju, Victor Abiola, and Olanrewaju Oladimeji. 2023. "A Comparative Analysis of Patient Profiles and Health Service Utilization between Patent Medicine Vendors and Community Pharmacists in Nigeria" Healthcare 11, no. 18: 2484. https://doi.org/10.3390/healthcare11182484
APA StyleAdepoju, V. A., & Oladimeji, O. (2023). A Comparative Analysis of Patient Profiles and Health Service Utilization between Patent Medicine Vendors and Community Pharmacists in Nigeria. Healthcare, 11(18), 2484. https://doi.org/10.3390/healthcare11182484