Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing?
Uma Shankar SAjay M V KumarNikhil Srinivasapura VenkateshmurthyDivya NairReena KingsburyPadmesha RMagesh VeluSuganthi PJoydev GuptaJameel AhmedPuttaswamy GSomashekarayya HiremathRavi K JaiswalRony Jose KokkadSomashekar NPublished in: PloS one (2021)
These findings are encouraging given the complexity of the algorithm. High non-reaching and non-completion rates in rifampicin-resistant patients is a major concern. Future research should focus on understanding the reasons for the gaps identified using qualitative research methods.
Keyphrases
- drug resistant
- multidrug resistant
- end stage renal disease
- mycobacterium tuberculosis
- machine learning
- acinetobacter baumannii
- ejection fraction
- deep learning
- newly diagnosed
- chronic kidney disease
- primary care
- healthcare
- peritoneal dialysis
- systematic review
- prognostic factors
- emergency department
- cystic fibrosis
- hepatitis c virus
- electronic health record
- hiv infected