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Table 2 Strengths and weaknesses of Governance & Information infrastructure for SHP

From: Supporting strategic health purchasing: a case study of annual health budgets from general tax revenue and social health insurance in Abia state, Nigeria

State budgetary allocation for health

State Social health Insurance Scheme

Strengths include existence of

- Abia SMOH as the primary purchasing agency with the mandate and autonomy to ensure standard of care

- Purchasing function is primarily governed by the approved state budget and public procurement law

- Unified information system (DHIS 2) and data governance structure

Strengths include existence of

- Legal framework that established the purchasing agency (Abia State House of Assembly law 2017, vide no. 2)

- Governing board that oversees and regulates the activities of the agency

- Client complaints portal for gathering grievances/appeals

- Quarterly performance monitoring of key indicators by the M&E unit of the agency

Weaknesses include

- Weak capacity to implement strategic purchasing

- Operation of zero and incremental budget

- Weak accountability structure

- Lack of implementation of sanctions/penalties for poor accountability

- Lack of IT infrastructure and limited IT skills

Weaknesses include

- Lack of information technology (IT) infrastructure and staff with relevant IT skills

- Lower thresholds for accreditation of public providers who are the majority

- Possibility of incomplete release of equity funds by state government

Opportunities

Opportunities

- Capacity strengthening for strategic purchasing to improve linkage of budget to operational plans and achievement of health system goals

- Properly defined governance structure for strategic purchasing with clear oversight and accountability

- Maximize purchasing power by employing this single pool

- Develop IT infrastructure and ensure integration with state level IT architecture

Threat

- Rigid budget reduces the opportunity for efficiency and more strategic purchasing

Threats

- Inadequate data-driven decision-making processes due to manual processes

- Distrust by the provider population due to the application of different standards for different sectors

- Changes in political landscape leading to delays in disbursement of funds