| Literature DB >> 31887208 |
Razia Fatima1, Aashifa Yaqoob1,2, Ejaz Qadeer3, Sven Gudmund Hinderaker2, Aamer Ikram1,4, Charalambos Sismanidis5.
Abstract
INTRODUCTION: Tuberculosis in children may be difficult to diagnose and is often not reported to routine surveillance systems. Understanding and addressing the tuberculosis (TB) case detection and reporting gaps strengthens national routine TB surveillance systems.Entities:
Mesh:
Year: 2019 PMID: 31887208 PMCID: PMC6936771 DOI: 10.1371/journal.pone.0227186
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Selection of districts based on probability proportional to population size.
| Strata | Number of districts | Population (≤14 years) | Percentage share of national | Number of clusters | ||
|---|---|---|---|---|---|---|
| Balochistan | 30 | 2947212 | 5% | 1 | 0 | 1 |
| KPK | 25 | 8239283 | 14% | 1 | 1 | 2 |
| Punjab | 36 | 33027380 | 55% | 1 | 3 | 4 |
| Sindh | 23 | 13712676 | 23% | 1 | 2 | 3 |
| AJK | 10 | 1452889 | 2% | 1 | 0 | 1 |
| GB | 7 | 412616 | 1% | 1 | 0 | 1 |
*Proportional to national share
Characteristics of children with presumptive tuberculosis in the study: Apr—Jun 2016.
| Private Health Facility | Laboratory | Total | |
|---|---|---|---|
| n (%) | n (%) | ||
| Age (in year) | |||
| <1 | 113 (1.7) | 2 (0.3) | 115 (1.6) |
| 1–4 | 1578 (24.2) | 61 (10.1) | 1639 (23.0) |
| 5–9 | 2240 (34.4) | 197 (32.5) | 2437 (34.2) |
| 10–14 | 2,588 (39.7) | 346 (57.1) | 2934 (41.2) |
| Gender | |||
| Male | 2,320 (35.6) | 220 (36.3) | 2540 (35.6) |
| Female | 4,199 (64.4) | 386 (63.7) | 4585 (64.4) |
| Total | 6519 | 606 | 7125 |
Identified child TB cases by the private health providers & laboratories in selected districts of Pakistan: Apr—Jun, 2016.
| Province | District | Health Facility | Laboratory | Total | |
|---|---|---|---|---|---|
| Bacteriological positive | Clinically Diagnosed | Bacteriological positive | |||
| Punjab | Attock | 31 | 411 | 1 | 443 |
| Chiniot | 108 | 229 | 1 | 338 | |
| Hafizabad | 15 | 540 | 0 | 555 | |
| Vehari | 30 | 303 | 0 | 333 | |
| Sindh | Shikarpur | 8 | 386 | 0 | 394 |
| Hyderabad | 10 | 828 | 5 | 843 | |
| Karachi | 130 | 812 | 26 | 968 | |
| KPK | Buner | 11 | 137 | 0 | 148 |
| Peshawar | 126 | 873 | 32 | 1031 | |
| AJK | Pallundary | 6 | 108 | 0 | 114 |
| Baloschistan | Jhal Magsi | 19 | 8 | 0 | 27 |
| GB | Ghizer | 4 | 60 | 0 | 64 |
| 4695 | 65 | 5258 | |||
AJK = Azad Jammu & Kashmir, KPK = Khyber Pakhtunkhwa, GB = Gilgit Baltistan
Fig 1Venn diagram showing child TB cases by source of identification.
NTP = National Tuberculosis Control Programme.
Child tuberculosis detected and notified in Pakistan, by district: Apr—Jun, 2016.
| Districts | Child TB cases notified to NTP Only Q2 2016 | TB inventory study | Underreporting | |
|---|---|---|---|---|
| Cases reported to NTP | Cases not reported to NTP | |||
| (a) | (b) | (c) | [c/(a+b+c)] | |
| Attock | 50 | 34 | 409 | 83% |
| Buner | 32 | 43 | 105 | 58% |
| Chiniot | 34 | 4 | 334 | 90% |
| Ghizer | 11 | 0 | 64 | 85% |
| Hafizabad | 5 | 12 | 543 | 97% |
| Hyderabad | 69 | 35 | 808 | 89% |
| Jhal maghsi | 0 | 0 | 27 | 100% |
| Karachi | 584 | 12 | 956 | 62% |
| Pallundary | 9 | 2 | 112 | 91% |
| Peshawar | 339 | 37 | 994 | 73% |
| Shikarpur | 54 | 2 | 392 | 88% |
| Vehari | 80 | 7 | 326 | 79% |
| Total | 1267 | 188 | 5070 | 78% |
Underreporting (overall and by risk factor) estimated taking into consideration the sampling design.
| Underreporting | ||
|---|---|---|
| Best estimate | 95% C.I | |
| Overall | 78% | 68%–87% |
| Gender | ||
| • Boys | 84% | 78%–91% |
| • Girls | 68% | 57%–79% |
| Case Type | ||
| • Bacteriological confirmed | 76% | 65%–87% |
| • Clinically diagnosed | 78% | 68%–88% |
C.I = confidence Interval