Abstract

Background: Approaches to scale up hypertension (HTN) treatment are needed in India, where only ~10% of individuals with HTN have controlled blood pressure. Objective: Estimate the current HTN treatment capacity of the public health system in India and model the effects of selected health system reform options. Methods: Using constrained optimization models, we estimated the HTN treatment capacity and salary costs of HTN-treating staff within the public health system; and simulated the potential effects of 1) increased workforce, 2) greater task sharing, and/or 3) reduced visit frequency (quarterly) vs the common practice of monthly visits for prescription refills. Results: An estimated 8% of all adults with HTN could be treated in the status quo (current number of health workers, no further task sharing, and monthly visits) (Figure). Treating 70% of adults with HTN with monthly visits without greater task sharing could require an additional 1.6 million staff, with ~200 billion ₹ (≈US$2.7 billion)) in additional annual salaries. Greater task sharing was estimated to allow the current workforce to treat ~25% of individuals with HTN with monthly visits. Quarterly visits (i.e., longer prescription periods) together with greater task sharing could allow the current workforce to treat ~70% of patients with HTN in India. Conclusion: Expanding HTN treatment coverage through workforce expansion alone will require substantial human and financial resources. The combination of greater task sharing and quarterly visits could increase the coverage of HTN treatment to ~70% of adults with HTN in India, without any expansion of the current workforce of the public health system.

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