| Literature DB >> 35863840 |
Degu Jerene1, Dawit Assefa2, Kalkidan Tesfaye3, Samuel Bayu4, Samuel Seid2, Fikirte Aberra5, Ahmed Bedru2, Amera Khan6, Jacob Creswell6.
Abstract
OBJECTIVES: Our objective was to evaluate the impact of a service delivery model led by membership-based associations called Iddirs formed by women on tuberculosis preventive treatment (TPT) initiation and completion rates among children.Entities:
Keywords: Community child health; PUBLIC HEALTH; Tuberculosis
Mesh:
Substances:
Year: 2022 PMID: 35863840 PMCID: PMC9310159 DOI: 10.1136/bmjopen-2022-062298
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 3.006
Figure 1Map of study sites.
Figure 2Schematic representation of the core interventions and key players. HEWs, health extension workers; TB, tuberculosis.
The difference-in-difference analysis of eligible U15C enrolled and treated before and after the intervention
| Region | Intervention | Control | ||||
| Eligible | Initiated | % Initiated | Eligible | Initiated | % Initiated | |
| Addis Ababa | ||||||
| Before | 156 | 33 | 21.1 | 43 | 6 | 13.9 |
| After | 234 | 181 | 77.3 | 98 | 58 | 59.2 |
| Difference (%) | 78 (+50%) | 148 (+448%) | 56.2 (+266%) | 55 (+128%) | 52 (+866%) | 45.3 (+326%) |
| SNNPR | ||||||
| Before | 164 | 59 | 35.9 | 466 | 170 | 36.5 |
| After | 1316 | 796 | 60.4 | 677 | 277 | 40.9 |
| Difference (%) | 1152 (+702%) | 737 (+1249%) | 24.5 (+68.2%) | 211 (+45%) | 107 (+63%) | 3.5 (+9.6%) |
| Total | ||||||
| Before | 320 | 92 | 28.7 | 509 | 176 | 34.6 |
| After | 1550 | 977 | 63.05 | 775 | 335 | 43.2 |
| Difference (%) | 1230 (+384%) | 885 (+963%) | 42.6 (+148%) | 266 (+52%) | 159 (+90.3%) | 8.6 (+24.9%) |
In this table, “before” refers to the period July 2019-June 2020 while after refers to the period July 2020-June 2021.
SNNPR, Southern Nations’, Nationalities’ and Peoples’ Region.
Figure 3Trends in the number of under-15-year-old children put on TPT. DHIS-2, District Health Information System; TPT, tuberculosis preventive treatment.
Adjusted Poisson regression analyses showing the impact of Iddir interventions on the number of eligible children and those initiated on tuberculosis preventive treatment
| Factors | Eligible | Initiated |
| Exp (β) (95% CI) | Exp (β) (95% CI) | |
| Control zones | ||
| Time period (after vs before) | 1.52 (1.36 to 1.70) | 1.90 (1.59 to 2.28) |
| Region (SNNPR vs Addis Ababa) | 8.11 (6.81 to 9.66) | 6.99 (5.37 to 9.08) |
| Intervention zones | ||
| Time period (after vs before) | 4.84 (4.29 to 5.46) | 10.62 (8.58 to 13.15) |
| Region (SNNPR vs Addis Ababa) | 3.79 (3.39 to 4.24) | 3.99 (3.44 to 4.64) |
| Combined zones | ||
| Iddir intervention (yes vs no) | 1.46 (1.36 to 1.56) | 2.09 (1.88 to 2.32) |
| Time period (after vs before) | 2.80 (2.59 to 3.04) | 4.89 (4.29 to 5.58) |
| Region (SNNPR vs Addis Ababa) | 4.94 (4.50 to 5.42) | 4.68 (4.11 to 5.33) |
P<0.001 for all factors.
SNNPR, Southern Nations’, Nationalities’ and Peoples’ Region.
Figure 4Trends in tuberculosis preventive treatment initiation rate in under-5-year-old children.