| Literature DB >> 27538947 |
Oluyomi F Bamiselu1, IkeOluwapo Ajayi2,3, Olufunmilayo Fawole3, David Dairo3, Olufemi Ajumobi2,4, Abisola Oladimeji2, Yoon Steven5.
Abstract
BACKGROUND: Malaria case management remains a vital component of malaria control strategies. Despite the introduction of national malaria treatment guidelines and scale-up of malaria control interventions in Nigeria, anecdotal evidence shows some deviations from the guidelines in malaria case management. This study assessed factors influencing adherence to malaria diagnosis and treatment guidelines among healthcare workers in public and private sectors in Ogun State, Nigeria.Entities:
Keywords: Healthcare workers’ adherence; Malaria; National treatment guidelines; Nigeria
Mesh:
Substances:
Year: 2016 PMID: 27538947 PMCID: PMC4991116 DOI: 10.1186/s12889-016-3495-x
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Flow chart of recruitment of respondents
Characteristics of the healthcare workers, Ogun State, Nigeria
| Public facilities | Private facilities | Total | |
|---|---|---|---|
| Gender | |||
| Male | 37 (17.1) | 93 (43.1) | 130 (30.1) |
| Female | 179 (82.8) | 123 (56.9) | 302 (69.9) |
| Age (years) | |||
| < 25 | 4 (1.9) | 6 (2.8) | 10 (2.3) |
| 25–34 | 36 (16.7) | 64 (29.6) | 100 (23.1) |
| 35–44 | 79 (36.6) | 95 (43.9) | 174 (40.3) |
| 45–54 | 89 (41.2) | 40 (18.5) | 129 (29.9) |
| ≥ 55 | 8 (3.7) | 11 (5.1) | 19 (4.4) |
| Cadre of Health workers | |||
| Consultant | 0 | 4 (1.9) | 4 (0.9) |
| Medical Officer | 25 (11.6) | 110 (51.6) | 135 (31.5) |
| Nurse/Midwife | 99 (46.0) | 92 (43.2) | 191 (44.6) |
| CHEW/CHOa | 89 (41.4) | 7 (3.3) | 96 (22.4) |
| Laboratory Scientist | 2 (0.9) | 0 | 2 (0.5) |
| Years of practice | |||
| 1–5 | 21 (9.7) | 43 (19.9) | 64 (14.8) |
| 6–10 | 37 (17.1) | 60 (17.1) | 97 (22.5) |
| 11–15 | 32 ((14.8) | 62 (28.7) | 94 (21.8) |
| 16–20 | 43 (19.9) | 20 (9.3) | 63 (14.6) |
| 21–25 | 46 ((21.3) | 14 (6.5) | 60 (13.9) |
| > 25 | 37 (17.2) | 17 (7.9) | 54 (12.5) |
| Training on malaria case management | |||
| Yes | 170 (79.4) | 52 (20.2) | 222 (51.2) |
| No | 46 (21.3) | 164 (75.9) | 210 (48.6) |
CHEW Community Health Extension Worker; CHO Community Health Officers
aThese cadre of health workere were group together because they are expected to work mainly at community level
Characteristics of the selected health facilities
| Public facilities | Private facilities | Total | aOR (95 % CI) |
| |
|---|---|---|---|---|---|
| Availability of malaria diagnostic equipment | |||||
| HF with microscopy | 12 (16.7 %) | 18 (25.0 %) | 30 (20.8 %) | 0.6 (0.3–1.4) | 0.220 |
| HF with mRDT | 59 (81.9 %)) | 14 (19.4 %) | 73 (50.7 %) | 18.8 (8.1–3.4) | 0.000 |
| HF with both microscopy and mRDT | 7 (9.7 %) | 8 (11.1 %) | 15 (10.4 %) | 0.9 (0.3–2.5) | 0.790 |
| Availability of recommended antimalarial medicines | |||||
| AL | 68 (94.4) | 57 (79.2) | 125 (86.8) | 4.5 (1.4–14.2) | 0.007 |
| AA | 58 (80.6) | 52 (72.2) | 110 (76.4) | 1.6 (0.7–3.5) | 0.240 |
| Quinine tab | 61 (84.7) | 26 (36.1) | 87 (60.4) | 9.8 (4.4–21.9) | 0.000 |
| Quinine Inj. | 43 (59.7) | 18 (25.0) | 61 (42.4) | 4.5 (2.2–9.1) | 0.000 |
| Artemether Inj. | 8 (11.1) | 40 (55.6) | 48 (33.3) | 0.1 (0.0–0.2) | 0.000 |
| S-P | 65 (90.3) | 55 (76.4) | 120 (83.3) | 2.9 (1.1–7.4) | 0.030 |
| Non recommended antimalarial medicines | |||||
| Artesunate | 9 (12.5) | 42 (58.3) | 51 (35.4) | 0.1 (0.0–0.2) | 0.000 |
| Amodiaquine | 6 (8.3) | 28 (38.9) | 34 (23.6) | 0.1 (0.0–0.4) | 0.0002 |
| Chloroquine | 3 (4.2) | 19 (26.4) | 22 (15.3) | 0.1 (0.0–0.4) | 0.002 |
| Halofantrine | 2 (2.8) | 8 (11.1) | 10 (6.9) | 0.2 (0.1–1.1) | 0.050 |
| Dihydroartemisinin-piperaquine | 2 (2.8) | 5 (6.9) | 7 (4.9) | 0.4 (0.1–2.0) | 0.250 |
a OR Odd Ratio
Fig. 2Awareness, accessibility and use of National malaria treatment guidelines among health workers in public and private health facilities in Ogun State, Nigeria
Adherence to the national malaria treatment guidelines by health workers when choosing medicines for malaria treatment
| Level of adherence to malaria treatment guidelines | Public | Private | Total | aOR (95 % CI) |
|
|---|---|---|---|---|---|
| Strictly adhered | 129 (60.6) | 57 (27.3) | 186 (44.1) | 4.10 (2.7–6.1) | 0.000 |
| Partially adhered | 61 (28.6) | 77 (36.8) | 138 (32.7) | 0.69 (0.5–1.2) | 0.07 |
| Did not adhere | 24 (11.3) | 71 (33.9) | 95 (22.5) | 0.25 (0.2–0.4) | 0.000 |
a OR Odd Ratio
Health worker factors associated with adherence to national malaria treatment guidelines
| Characteristics | Public health facilities | Private health facilities | |||||
|---|---|---|---|---|---|---|---|
|
aAdhere | Did not adhere | bOR (95 % CI) | Adhere | Did not adhere | OR (95 % CI) | ||
| Provider knowledge of medicine of choice for malaria treatment and dosing regimens | Had knowledge | 127 (100) | 52 (81.3) | - | 71 (100) | 69 (52.7) | - |
| Didn’t have | 0 | 23 (18.7) | Ref | 0 | 62 (47.3) | Ref | |
| Health workers who had access to the guidelines | Had access to guidelines | 71 (64.6) | 66 (66.7) | 0.9 (0.5–1.6) | 19 (26.0) | 40 (34.2) | 0.67 (0.4–1.3) |
| Didn’t have | 39 (35.5) | 33 (33.3) | Ref | 54 (73.9) | 77 (65.8) | Ref | |
| Health workers used any malaria diagnostic tool (RDT or microscopy) | Used diagnostic tool | 128 (94.8) | 68 (81.0) | 4.3 (1.7–10.9) | 65 (85.5) | 49 (45.8) | 7.0 (3.3–14.7) |
| Didn’t use | 7 (5.2) | 16 (19.1) | Ref | 11 (14.5) | 58 (58.5) | Ref | |
| Training on malaria case management | Received training | 82 (73.9) | 85 (84.2) | 0.5 (0.3–1.1) | 13 (18.1) | 37 (27.2) | 0.6 (0.3–1.2 |
| Didn’t receive | 29 (26.1) | 16 (15.8) | Ref | 59 (81.9) | 99 (72.8) | Ref | |
aAdhere’ is strict adherence: both parasitological diagnosis and appropriate treatment i.e. only positive cases of uncomplicated malaria received ACTs
b OR Odd Ratio
Factors influencing type of antimalarial drugs prescribed by health workers
| Public | Private | Total | OR (95 % CI) |
| |
|---|---|---|---|---|---|
| Drugs availability | 144 (66.7) | 133 (61.6) | 277 (64.1) | 1.25 (0.8–1.9) | 0.27 |
| Existing national malaria treatment guidelines | 140 (64.8) | 79 (36.5) | 219 (50.7) | 3.19 (2.2–4.7) | 0.000 |
| Drug promotion by manufacturers | 19 (8.8) | 99 (45.8) | 118 (27.3) | 0.11 (0.1–0.2) | 0.000 |
| Idea of what the consumer prefers | 8 (3.7) | 40 (18.5) | 48 (11.1) | 0.16 (0.8–0.4) | 0.0002 |
| Need to make profit | 1 (0.5) | 22 (10.2) | 23 (5.3) | 0.04 (0.0–0.3) | 0.0001 |
| Demand by patients | 2 (0.9) | 12 (5.6) | 24 (5.6) | 0.15 (0.0–0.7) | 0.01 |