| Literature DB >> 30842999 |
Oluwasegun Joel Adegoke1, Marina Takane2, Oladayo Biya3, Martin Ota4, Bolatito Murele5, Frank Mahoney3, Patrick Nguku1, Hiromasa Okayasu2.
Abstract
Eradication of poliomyelitis remains a public health priority due to the paralytic effects of the virus on children and impact on global health system. However, existing gaps in surveillance can hinder eradication. Improved timeliness of identification and reporting of acute flaccid paralysis (AFP) cases with further confirmation of Wild Poliovirus (WPV) in stool samples, can help Nigeria achieve the performance indicators of non-polio AFP rate of ≥ 2/100,000 population aged < 15 years and ≥80% stool sample collection adequacy. To ascertain the awareness of AFP case definition and detection by health care workers and to evaluate the impact of SMS-based reporting on the AFP surveillance system the study was conducted from November 2013 to July 2014. In Sokoto state, 112 health facilities (focal sites) were operational and participated in this study. All AFP focal points for the 112 facilities were included in the study. In addition to AFP focal points, two clinicians per facility where possible, were included in the study. The study focused exclusively on reports from focal sites. The methodology was a one group pretest-posttest design conducted in 3 phases. 1) Pre-intervention Knowledge, Attitude and Practices (KAP) survey, 2) SMS implementation and 3) Post-intervention KAP. Results were analysed using the independent sample t-test to assess the increase in knowledge, attitudes, or practice scores pre- and post- training. The study showed improved knowledge gap of health care workers on AFP surveillance between pre and post intervention. It shows that this approach of improved surveillance will be effective in countries in hard to reach, access compromised or countries/place without sufficient surveillance staff.Entities:
Keywords: Acute Flaccid Paralysis; Healthcare worker; KAP; Poliomyelitis
Year: 2018 PMID: 30842999 PMCID: PMC6398576
Source DB: PubMed Journal: J Immunol Sci
List of Knowledge, Attitude and Practice (KAP) questions
| Category | Questions |
|---|---|
| Knowledge | Can you define the “AFP case definition”? |
| Do you know what an active case search is? | |
| Have you been formally trained on AFP surveillance? | |
| Do you know who to contact in case you see a child with AFP | |
| How would you store and transport stool specimen? | |
| Attitude | Do you believe polio is a serious public health issue? |
| Is reporting AFP a priority in your work? | |
| Practice | Do you have an AFP poster displayed in your health facility? |
| Do the posters include a contact number for reporting AFP cases? |
Proportion of correctly answered questions by category
| Categories | Questions | Clinicians | Focal Points | ||
|---|---|---|---|---|---|
| Before, n=223 | After, n=84 | Before, n=106 | After, n=91 | ||
| n (%) | n (%) | n (%) | n (%) | ||
| Knowledge | Can you define the “AFP case definition”? | 109 (48.9) | 53 (62.7) | 85 (80) | 87 (95.6) |
| Do you know what an active case search is? | 44 (19.7) | 26 (30.5) | - | - | |
| Have you been formally trained on AFP surveillance? | 106 (47.5) | 33 (39.3) | 89 (83.9) | 83 (91.2) | |
| Do you know who to contact in case you see a child with AFP | 184 (82.5) | 78 (92.8) | - | - | |
| How would you store and transport stool specimen? | - | - | 89 (83.8) | 80 (87.9) | |
| Attitude | Do you believe polio is a serious public health issue? | 219 (98.2) | 84 (100) | 105 (99) | 91 (100) |
| Is reporting AFP a priority in your work? | 222 (99.5) | 81 (96.4) | 105 (99) | 87 (95.6) | |
| Practice | Do you have an AFP poster displayed in your health facility? | 195 (87.4) | 78 (92.9) | 98 (92.5) | 74 (81.3) |
| Do the posters include a contact number for reporting AFP cases? | 167 (74.9) | 77 (91.7) | 93 (87.7) | 76 (83.5) | |
Figure 1Number of AFP cases reported in Sokoto by week, 2012-2014
Figure 2SMS impact on reporting rate and time (November to June in 2011-12, 2012-13 and 2013-14).
Changes in Knowledge, attitude and practice scores, before and after the study (Mean score in each variable, scale of 0-8)
| Variables | Clinicians | Surveillance focal points | |||||
|---|---|---|---|---|---|---|---|
| Before, n=223 | After, n=84 | p value | Before, n=106 | After, n=91 | p value | ||
| mean(SD) | mean(SD) | mean(SD) | mean(SD) | ||||
| Knowledge | 1.99 (1.09) | 2.07(1.08) | 0.54 | 2.52(0.75) | 2.74(0.63) | 0.03 | |
| Attitude | 1.98(0.18) | 1.95(0.21) | 0.34 | 1.98(0.19) | 1.96(0.21) | 0.38 | |
| Practices | 1.62(0.69) | 1.85(0.48) | <0.01 | 1.80(0.49) | 1.65(0.67) | 0.07 | |
Motivation for continued reporting by HCW during follow assessment
| Motivation to report | Clinician, n= 177 | Focal point, n=107 |
|---|---|---|
| n (%) | n (%) | |
| Stipends | ||
| Awards & recognition | 6(3.4) | 3(2.8) |
| Regular meetings with program managers | 9(5.1) | 2(1.9) |
| Regular training & re-training | ||
| Supervision | 13(7.3) | 12(11.2) |
| Others | 10(5.6) | 16(15.0) |
Includes HCW who did not participate in the baseline assessment
Figure 3Trend in average days from AFP onset to reporting in neighbouring states