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PREreview of IMPACT OF CENTRALIZED NIKSHAY ON TB NOTIFICATION AND DATA COMPLETENESS IN INDIGENOUS TRIBES: A 21-YEAR STUDY

Published
DOI
10.5281/zenodo.24075365
License
CC BY 4.0

Summary

This study looked at how the Nikshay digital reporting system affected tuberculosis (TB) reporting and data completeness among Indigenous tribal communities in Karnataka, India. The researchers used 21 years of data from 2005 to 2025 and compared paper records with digital records.

The results showed that data completeness improved after Nikshay was introduced. However, differences in TB screening and care between tribal and non-tribal populations still remained.

Strengths

I think this study focuses on an important public health issue, especially because Indigenous communities often face more challenges in accessing healthcare.

One strength of this study is that it included 21 years of data, which helped the researchers understand changes over time. I also appreciate that the researchers compared tribal and non-tribal populations because this helps us better understand health differences between these groups.

Questions and Suggestions

1. Could other factors have affected the increase in TB reporting?

The study found that TB reporting increased after Nikshay was introduced. However, I wonder if other factors, such as better testing methods or improved access to healthcare, could also explain this increase.

I think it would be helpful if the authors could discuss these factors more clearly, since an increase in reported TB cases does not always mean an increase in actual TB cases.

2. How did the researchers compare the two different data systems?

The study showed that data completeness improved after Nikshay was introduced. However, the paper records and digital system did not always collect the same information.

I wonder how the researchers made sure the comparison was fair, especially because some information was only collected after Nikshay was introduced.

It would be helpful if the authors could explain this more clearly.

3. How can Nikshay help reduce health differences between tribal and non-tribal communities?

One result that stood out to me was that household contact screening was lower among tribal populations (69.8%) compared with non-tribal populations (87.2%).

Although the digital system improved data collection, it seems that some challenges in accessing healthcare still remain.

I think it would be interesting if the authors could discuss how Nikshay could work together with community health programs to help more people receive TB screening and treatment.

Overall Assessment

Overall, I think this is a meaningful study that shows how digital systems can help improve TB reporting and data collection.

I especially appreciate the focus on Indigenous communities and health differences between populations. However, I think the study could be improved by explaining the possible factors behind the increase in TB reporting and discussing how better data collection could lead to better healthcare access.

These suggestions could help make the findings more useful for future public health programs.

Competing interests

The author declares that they have no competing interests.

Use of Artificial Intelligence (AI)

The author declares that they did not use generative AI to come up with new ideas for their review.

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