Determinants of Tuberculosis Case Detection Among Healthcare Providers in PaPaBaTa Lanao Del Norte: A Cross-Sectional Study

Walid P. Rascal, Ashley A. Bangcola — Thu, 07 May 2026 00:00:00 +0000

Background: Tuberculosis (TB) continues to pose a significant public health challenge in the Philippines, with persistent gaps between estimated incidence and reported cases indicating suboptimal case detection. Healthcare providers play a critical role in TB identification and reporting, yet evidence on provider-related determinants in decentralized rural settings remains limited.

Objectives: This study aimed to examine healthcare provider–related determinants of TB case detection rates (CDR) in the PaPaBaTa Inter-Local Health Zone, Lanao del Norte, Philippines.

Methods: A quantitative, cross-sectional analytical design was employed involving 188 healthcare providers selected through stratified random sampling. Data were collected using a validated self-administered questionnaire assessing predisposing (knowledge), enabling (resources and organizational support), and behavioral factors, alongside facility-level TB records to compute CDR. Descriptive statistics, t-tests, ANOVA, Pearson correlation, and multiple linear regression were used for analysis at a 95% confidence level.

Results: Providers demonstrated low perceived knowledge of TB diagnostic guidelines (M = 2.31), moderate enabling conditions (M =3.04), and moderate practice engagement (M = 3.04). Facility-level CDR varied from 7.27% to 33.33%. Knowledge (r = 0.42), enabling factors (r = 0.36), and behavioral practices (r = 0.41) showed significant positive correlations with CDR (p < 0.01). Regression analyses revealed that TB knowledge (β = 0.31), professional role, educational attainment, years of service, employment status, and type of posting significantly predicted CDR (R² = 0.48). Enabling (R² = 0.52) and behavioral factors (R² = 0.55) also significantly influenced detection outcomes, with routine screening and identification of presumptive cases as key predictors.

Conclusion: TB case detection is significantly influenced by provider knowledge, health system support, and behavioral practices. Strengthening training, resource provision, and provider engagement is essential to improve TB detection in decentralized settings.

International Journal of Interdisciplinary Nursing Science

Determinants of Tuberculosis Case Detection Among Healthcare Providers in PaPaBaTa Lanao Del Norte: A Cross-Sectional Study