RESUMO
To reduce TB deaths, Tamil Nadu, a southern Indian state, implemented the first state-wide differentiated TB care strategy starting April 2022. Triage-positive severely ill patients are prioritised for comprehensive assessment and inpatient care. Routine program data during October-December 2022 revealed that documentation of total score after comprehensive assessment was available in only 39%, possibly indicating poor quality of comprehensive assessment. We confirmed this using operational research. The case record form to record comprehensive assessment was used only in 26% and among these, the completeness and correctness in filling out the form were sub-optimal. There is a clear need to enhance the quality of comprehensive assessments.
Depuis avril 2022, le Tamil Nadu, un État du sud de l'Inde, a mis en Åuvre la première stratégie de soins différenciés pour la TB à l'échelle de l'État afin de réduire le nombre de décès dus à la TB. Les personnes gravement malades ayant obtenu un résultat positif au triage sont prioritaires pour une évaluation complète et des soins hospitaliers. Les données du programme de routine entre octobre et décembre 2022 ont révélé que la documentation du score total après l'évaluation complète n'était disponible que dans 39% des cas, ce qui pourrait indiquer une mauvaise qualité de l'évaluation complète. Nous l'avons confirmé par le biais d'une recherche opérationnelle. Le formulaire de dossier pour enregistrer l'évaluation complète n'a été utilisé que dans 26% des cas et, parmi ceux-ci, l'exhaustivité et l'exactitude du remplissage du formulaire n'étaient pas optimales. Il est manifestement nécessaire d'améliorer la qualité de l'évaluation complète.
RESUMO
BACKGROUND: India has been implementing active case-finding (ACF) for TB among marginalised and vulnerable (high-risk) populations since 2017. The effectiveness of ACF cycle(s) is dependent on the use of appropriate screening and diagnostic tools and meeting quality indicators. OBJECTIVES: To determine the number of ACF cycles implemented in 2021 at national, state (n = 36) and district (n = 768) level and quality indicators for the first ACF cycle. METHODS: In this descriptive study, aggregate TB program data for each ACF activity that was extracted was further aggregated against each ACF cycle at the district level in 2021. One ACF cycle was the period identified to cover all the high-risk populations in the district. Three TB ACF quality indicators were calculated: percentage population screened (≥10%), percentage tested among screened (≥4.8%) and percentage diagnosed among tested (≥5%). We also calculated the number needed to screen (NNS) for diagnosing one person with TB (≤1538). RESULTS: Of 768 TB districts, ACF data for 111 were not available. Of the remaining 657 districts, 642 (98%) implemented one, and 15 implemented two to three ACF cycles. None of the districts or states met all three TB ACF quality indicators' cut-offs. At the national level, for the first ACF cycle, 9.3% of the population were screened, 1% of the screened were tested and 3.7% of the tested were diagnosed. The NNS was 2824: acceptable (≤1538) in institutional facilities and poor for population-based groups. Data were not consistently available to calculate the percentage of i) high-risk population covered, ii) presumptive TB among screened and iii) tested among presumptive. CONCLUSION: In 2021, India implemented one ACF cycle with sub-optimal ACF quality indicators. Reducing the losses between screening and testing, improving data quality and sensitising stakeholders regarding the importance of meeting all ACF quality indicators are recommended.