3.1 Background Characteristics
Among the 165 PPMVs assessed for this study as shown in Table 1, majority were female participants (93, 56.4%). More than a quarter of the PPMVs (29%) were in Ezza North LGA while 15% have their outlets located at Ohaukwu LGA of Ebonyi State. Similarly, most of the PPMV outlets in Kaduna were located at Igabi LGA (34%) while 22% were from Sabon Gari LGA of Kaduna State. All the PPMVs assessed had been exposed to some level of health training. More than a quarter of the PPMVs were trained nurses (26%), 27% were Senior Community Health Extension Workers (S. CHEW), 12% were midwifes and 35% were Junior Community Health Extension Workers (JCHEW).
Table 1
Background Characteristics
Variable (N = 165) | Frequency | Percentage |
LGA | | |
Ezza North | 47 | 29% |
Igabi | 56 | 34% |
Ohaukwu | 25 | 15% |
Sabon Gari | 37 | 22% |
Gender | |
Male | 72 | 43.6% |
Female | 93 | 56.4% |
Qualification | |
Junior CHEW | 57 | 35% |
Senior CHEW | 45 | 27% |
Registered Nurse | 43 | 26% |
Midwife | 20 | 12% |
3.2 Assessment of the quality of child health services offered among trained PPMVs.
The capacity and willingness of the trained PPMVs to take respiratory rate was tested. In Table 2, about 39.4% of trained PPMV could not accurately take respiratory rate nor frequently measure respiratory rate each time a kid was brought in the first quarter. After the intervention period, majority of the PPMVs (93.3%) were able to reliably measure the respiratory rate of a sick child (ꭓ2 (1) = 49.85, p-value = 0.000).
In the first quarter, 46.1% among the trained PPMVs were unable to detect fast breathing in a sick child and frequently fail to measure respiratory rate. In the second quarter, this number plummeted dramatically to 8.5%. Nearly all of the PPMVs could accurately diagnose fast breathing in sick children by the end of the intervention (ꭓ2 (1) = 58.73, p-value = 0.000). The number of PPMVs that check for chest in-drawing in unwell children before delivering treatment increased significantly (ꭓ2 (1) = 56.02, p-value = 0.000). At least 4 out of 5 PPMVs (83%) do not check for chest in-drawing in a sick child in the first quarter; after six months of skill reinforcement and supervision, 87.9% of PPMVs frequently check for chest in-drawing before therapy is given.
Table 2
The quality of child health services offering among trained PPMVs
Variable (N = 165) | Observation | Quarter 1 | Quarter 2 | df | ꭓ2 (p-value) |
Taking respiratory rate | Yes | 100a (60.6% ) | 154a (93.3% ) | 1 | 49.85 (0.000) |
No | 65b (39.4%) | 11b (6.7% ) |
How to determine fast breathing | Yes | 89a (53.9%) | 151a (91.5%) | 1 | 58.73 (0.000) |
No | 76b (46.1%) | 14b (8.5%) |
Chest in drawing | Yes | 82a (49.7%) | 145a (87.9%) | 1 | 56.02 (0.000) |
No | 83b (50.3%) | 20b (12.1%) |
3.3 Assessment of the quality of diagnosis for fever, cough, diarrhea
When the two quarters were compared in Table 3 to examine the quality of diagnosis for fever, cough, and diarrhea, it was discovered that there was an established gap in the number of PPMVs that assess cough. In the first quarter, 18.2% of the PPMVs failed to ask for or assess cough in sick children, while only 7.3% failed to do so before treatment at the end of the intervention (ꭓ2 = 8.84, p-value = 0.003). In the first quarter, 17.6% of those who assess or ask for cough did not take the respiratory rate; this number reduced to 12.7% in the second quarter (ꭓ2 = 1.51, p-value = 0.219). In addition, only 30 (18.2%) of the PPMVs in this study were able to correctly count respiratory rate in the first quarter. In quarter 2, the result improved to 100(60.6%) (ꭓ2 = 64.60, p-value = 0.000). 126 (76.4%) tested for diarrhea during the first phase of the assessment, but in the second phase, 154 (93.3%) adopted the correct practice of assessing under-5 children for diarrhea before treatment (ꭓ2 = 18.48, p-value = 0.000). There was also a considerable improvement in the accuracy of fever diagnosis. In the first quarter of the trial, 24 (14.5%) of the PPMVs did not screen for temperature before treating the child. According to the second quarter's assessment, 159 (96.4%) of PPMVs examine if the child has a temperature before treating them (ꭓ2 = 11.88, p-value = 0.001). This finding also shows that in the first quarter, 40.6% of PPMVs did not perform RDT tests on children under the age of five who had a fever. In the second quarter, 87.3 percent of PPMVs were seen doing RDT tests before treatment (ꭓ2 = 64.60, p-value = 0.000), indicating an improvement in diagnostic practice. At the start of the study, 71.5% of the PPMVs could not read the test result; by the second quarter, all (100%) of the PPMVs in the study could competently interpret the test result (ꭓ2 = 183.68, p-value = 0.000). They were tested on their capacity to accurately identify all difficulties, and there was a substantial increase in the proportion of PPMVs who were unable to do so (ꭓ2 = 0.34, p-value = 0.563).
Table 3
The quality of diagnosis for fever, cough, diarrhea
Variable (N = 165) | Observation | Quarter 1 | Quarter 2 | ꭓ2 (p-value) |
Does the CORP ask for or assess Cough? | Asked | 135a (81.8%) | 153a (92.7%) | 8.84 (0.003) |
Not Checked | 30b (18.2%) | 12b (7.3%) |
Does the CORP assess or take respiratory rate? (for cough only) | Yes | 136a (82.4%) | 144a (87.3%) | 1.51 (0.219) |
No | 29a (17.6%) | 21a (12.7% ) |
Counted correctly | Yes | 30a (18.2%) | 100a (60.6%) | 64.60(0.000) |
No | 106b (64.2%) | 44b (26.7%) |
Not applicable | 29b (17.6%) | 21b (12.7%) |
Does the CORP ask for or assess Diarrhea? | Asked | 126a (76.4%) | 154a (93.3%) | 18.48 (0.000) |
Not Checked | 39b (23.6%) | 11b (6.7%) |
Does the CORP ask for or assess Fever? | Asked | 141a (85.5%) | 159a (96.4%) | 11.88 (0.001 ) |
Not Checked | 24b (14.5%) | 6b (3.6%) |
Does the CORP assess or take RDT? (for fever only) | Yes | 98a (59.4%) | 144a (87.3%) | 32.79 (0.000 ) |
No | 67b (40.6%) | 21b (12.7%) |
Interpreted correctly? | Yes | 47a (28.5%) | 165a (100%) | 183.68 (0.000) |
No | 118b (71.5%) | 0b (0.0%) |
Does the CORP identify all problems correctly? | Yes | 134a (81.2%) | 138a (83.6%) | 0.34 (0.563) |
No | 31a (18.8%) | 27a (16.4%) |
3.4 Assessment of the quality of treatment for fever, cough, diarrhea
During the intervention time, the PPMVs' treatment quality in all three illness areas vastly improved according to the information on Table 4. In the first quarter, 21.8% of people did not know how to cure malaria; however, the percentage fell to 1.8% in the second quarter (ꭓ2 = 31.67, p-value = 0.000). In the second quarter, the number of people who couldn't treat cough and quick breathing dropped from 47 (28.5%) to 14 (8.5%) (ꭓ2 = 21.90, p-value = 0.000). In the second quarter, the number of PPMVs that were unable to treat diarrhea after following the proper treatment protocol fell from 33.3–2.4% (ꭓ2 = 53.68, p-value = 0.000). In the first quarter, 43.6% of PPMVs didn't know what pre-referral treatment to administer, but this reduced to 14% in the second quarter (ꭓ2 = 35.49, p-value = 0.000).
Table 4
The quality of treatment for fever, cough, and diarrhea
Variable (N = 165) | | Quarter 1 | Quarter 2 | ꭓ2 (p-value) |
How to treat malaria? | Yes | 129a (78.2%) | 162a (98.2%) | 31.67 (0.000) |
No | 36b (21.8%) | 3b (1.8%) |
How to treat cough and fast breathing? | Yes | 118a (71.5%) | 151a (91.5%) | 21.90 (0.000) |
No | 47b (28.5%) | 14b (8.5%) |
How to treat diarrhea? | Yes | 110a (66.7%) | 161a (97.6%) | 53.68(0.000) |
No | 55b (33.3%) | 4b (2.4%) |
What pre-referral treatment to give? | Yes | 93a (56.4%) | 142a (86.0%) | 35.49 (0.000) |
No | 72b (43.6%) | 23b (14%) |
3.5 Comparing trends in case management for common childhood illnesses among PPMVs
When the case management trends for common childhood illnesses among PPMVs were examined between the two quarters, there was a significant shift as shown in Table 5. When a sick child is brought to their facility, the PPMVs have been habituated to looking for danger indications (ꭓ2 = 2.59, p-value = 0.274). There was also an improvement in the practice of referring a youngster who showed signs of danger. In the second quarter, the number of PPMVs who would outright refer a child with a danger indication jumped from 92(55.8%) to 156(94.5%) (ꭓ2 = 66.47, p-value = 0.000). Improved referral facilitation and follow-up have also been documented. In the second quarter, the percentage of improved referral facilitation and follow-up increased from 50.3–84.2% (ꭓ2 = 43.16, p-value = 0.000).
Table 5
Comparing trends in case management for common childhood illnesses among PPMVs
Variable (N = 165) | | Quarter 1 | Quarter 2 | ꭓ2 (p-value) |
Does the CORP ask or assess for danger signs? | Checked | 94a (57%) | 100a (60.6%) | 2.59 (0.274) |
Not Checked | 22a (13.3%) | 13a (7.9%) |
Partially Checked | 49a (29.7%) | 52a (31.5%) |
Refers if child has a danger sign or condition he/she cannot treat? | Yes | 92a (55.8%) | 156a (94.5%) | 66.47 (0.000) |
No | 73b (44.2%) | 9b (5.5%) |
Facilitate referral (provide referral note and first dose of drugs) and counsel for follow-up correctly | Yes | 83a (50.3%) | 139a (84.2%) | 43.16 (0.000) |
No | 82b (49.7%) | 26b (15.8%) |
3.6 Assessment of Improvement in Data Quality
There was an overall improvement in data gathering and record keeping. In Table 6, more PPMVs learned how to accurately fill out the daily corps register. During the study period, the number of PPMVs who could fill daily corps registers increased from 144 (87.3%) to 156 (94.5%) (ꭓ2 = 5.65, p-value = 0.059). Other than the 110(66.7%) documented in the first quarter, 132(80.0%) learned how to do their page summaries for the last full sheet (ꭓ2 = 8.07, p-value = 0.018). They also made it a habit to preserve copies of the prior three ICCM HMIS forms. Only 125 (75.8%) possessed copies of their prior three ICCM HMIS forms in the first quarter, but 141 (85.5%) did in the second (ꭓ2 = 29.39, p-value = 0.000). The importance of sending their ICCM HMIS forms to health facilities has also been recognized by PPMVs. Only 73 (44.2%) of PPMVs submitted an ICCM HMIS form to the health institution in the first quarter, but following months of skill reinforcement, 115 (69.7%) of PPMVs submitted an ICCM HMIS form to the health facility ((ꭓ2 = 22.63, p-value = 0.000).
Table 6
Variable (N = 165) | Yes N = 165 |
Quarter 1 | Quarter 2 | ꭓ2 (p-value) |
Daily CORPs register filled correctly | 144a (87.3%) | 156a (94.5%) | 5.65 (0.059) |
Page Summaries done correctly for last full sheet | 110a (66.7%) | 132a (80.0%) | 8.07 (0.018 ) |
Copies of at least previous 3 ICCM HMIS forms kept | 125a (75.8%) | 141a (85.5%) | 29.39 (0.000 ) |
ICCM HMIS form submitted to health facility last month | 73a (44.2%) | 115a (69.7%) | 22.63 (0.000) |
3.7 Assessment of the Availability of Commodities
According to Table 7, as a result of the intervention's demand creation activities, commodity demand increased. As a result, the availability of several products, such as amoxicillin (77.6% − 63.0%), low osmolar ORS (92.1% − 91.5%), and antimalarials, has decreased (89.1% − 81.2%). The PPMVs' connection to local medication manufacturers increased product availability. In the second quarter, the number of products available expanded dramatically. The number of PPMVs with at least 10 packs of 25mg Arthemether – 67.5mg Amodiaquine/Lumefantrine (AL/AA) increased by 32.1% (ꭓ2 = 44.85, p-value = 0.000), 50mg Arthemether – 135mg Amodiaquine/Lumefantrine increased from 41.8–66.1% (ꭓ2 = 36.60, p-value = 0.000), While the number of PPMVs with roughly 60 Zinc pills increased from 88.5–90% (ꭓ2 = 0.29, p-value = 0.592). The number of PPMVs with a timer and a continuous supply of AL/AA, Amoxicillin, and Low Osmolar ORS for 7 days or more without any stock-out of this product increased from 8.5–90.9% (ꭓ2 = 1.81, p-value = 0.404).
Table 7
Availability of Commodities
Variable (N = 165) | Yes N = 165 |
Quarter 1 | Quarter 2 | ꭓ2 (p-value) |
Did you have dispersible amoxicillin everyday last month? If No For how many days were you without dispersible amoxicillin? | 128a (77.6%) | 104a (63.0%) | 8.48(0.014 ) |
Arthemether Lumefantrine (AL) at least 20 full dose | 134a (81.2%) | 135a (81.8%) | 0.34 (0.845) |
25mg Arthemether – 67.5mg Amodiaquine (at least 10 packs)? | 63a (38.2%) | 116a (70.3%) | 44.85 (0.000) |
50mg Arthemether- 135mg Amodiaquine (at least 10 packs)? | 69a (41.8%) | 109a (66.1%) | 36.60 (0.000 ) |
Low osmolar ORS (at least 10 sachets) | 152a (92.1%) | 151a (91.5%) | 0.04 (0.841) |
Did you have antimalarial every day last month? If No. for about How many days were you without antimalarial? | 147a (89.1%) | 134a (81.2%) | 4.05 (0.044) |
Did you have low osmolar ORS everyday last Month? If No For about how long were you without Low Osmolar ORS | 148a (89.7%) | 143a (86.7%) | 0.73(0.394 ) |
Zinc tablet (approximately 60 tablets) | 146a (88.5%) | 149a (90.3%) | 0.29 (0.592) |
Chlorhexidene gel 4% (at least 10 tubes) | 14a (8.5%) | 23a (13.9%) | 62.64 (0.000 ) |
Did you have continuous supply of AI/AA,Amoxicillin and Low Osmolar ORS? For the last 3 months without any stock out of this product? | 106a (64.3%) | 58a (35.2%) | 1.18 (0.555) |
Did you have a timer and a continuous supply of AI/AA, Amoxicillin and Low Osmolar ORS For 7 Days or more without any stock-out of this product | 14a (8.5%) | 150a (90.9%) | 1.81 ( 0.404) |