Implementing a health labour market analysis to address health workforce gaps in a rural region of India.

BACKGROUND: Human Resources for Health (HRH) are essential for making meaningful progress towards universal health coverage (UHC), but health systems in most of the developing countries continue to suffer from serious gaps in health workforce. The Global Strategy on Human Resources for Health-Workforce 2030, adopted in 2016, includes Health Labor Market Analysis (HLMA) as a tool for evidence based health workforce improvements. HLMA offers certain advantages over the traditional approach of workforce planning. In 2018, WHO supported a HLMA exercise in Chhattisgarh, one of the predominantly rural states of India. METHODS: The HLMA included a stakeholder consultation for identifying policy questions relevant to the context. The HLMA focused on state HRH at district-level and below. Mixed methods were used for data collection and analysis. Detailed district-wise data on HRH availability were collected from state's health department. Data were also collected on policies implemented on HRH during the 3 year period after the start of HLMA and changes in health workforce. RESULTS: The state had increased the production of doctors but vacancies persisted until 2018. The availability of doctors and other qualified health workers was uneven with severe shortages of private as well as public HRH in rural areas. In case of nurses, there was a substantial production of nurses, particularly from private schools, however there was a lack of trusted accreditation mechanism and vacancies in public sector persisted alongside unemployment among nurses. Based on the HLMA, pragmatic recommendations were decided and followed up. Over the past 3 years since the HLMA began an additional 4547 health workers including 1141 doctors have been absorbed by the public sector. The vacancies in most of the clinical cadres were brought below 20%. CONCLUSION: The HLMA played an important role in identifying the key HRH gaps and clarifying the underlying issues. The HLMA and the pursuant recommendations were instrumental in development and implementation of appropriate policies to improve rural HRH in Chhattisgarh. This demonstrates important progress on key 2030 Global Strategy milestones of reducing inequalities in access to health workers and improving financing, retention and training of HRH.

Assessing competence of mid-level providers delivering primary health care in India: a clinical vignette-based study in Chhattisgarh state.

BACKGROUND: The global commitment to primary health care (PHC) has been reconfirmed in the declaration of Astana, 2018. India has also seen an upswing in national commitment to implement PHC. Health and wellness centres (HWCs) have been introduced, one at every 5000 population, with the fundamental purpose of bringing a comprehensive range of primary care services closer to where people live. The key addition in each HWC is of a mid-level healthcare provider (MLHP). Nurses were provided a 6-month training to play this role as community health officers (CHOs). But no assessments are available of the clinical competence of this newly inducted cadre for delivering primary care. The current study was aimed at providing an assessment of competence of CHOs in the Indian state of Chhattisgarh. METHODS: The assessment involved a comparison of CHOs with rural medical assistants (RMAs) and medical officers (MO), the two main existing clinical cadres providing primary care in Chhattisgarh. Standardized clinical vignettes were used to measure knowledge and clinical reasoning of providers. Ten ailments were included, based on primary care needs in Chhattisgarh. Each part of clinical vignettes was standardized using expert consultations and standard treatment guidelines. Sample size was adequate to detect 15% difference between scores of different cadres and the assessment covered 132 CHOs, 129 RMAs and 50 MOs. RESULTS: The overall mean scores of CHOs, RMAs and MOs were 50.1%, 63.1% and 68.1%, respectively. They were statistically different (p < 0.05). The adjusted model also confirmed the above pattern. CHOs performed well in clinical management of non-communicable diseases and malaria. CHOs also scored well in clinical knowledge for diagnosis. Around 80% of prescriptions written by CHOs for hypertension and diabetes were found correct. CONCLUSION: The non-physician MLHP cadre of CHOs deployed in rural facilities under the current PHC initiative in India exhibited the potential to manage ambulatory care for illnesses. Continuous training inputs, treatment protocols and medicines are needed to improve performance of MLHPs. Making comprehensive primary care services available close to people is essential to PHC and well-trained mid-level providers will be crucial for making it a reality in developing countries.