Abstract

# Background South Africa, like many other countries is currently piloting National Health Insurance (NHI) reforms aimed at achieving Universal Health Coverage (UHC). Existing health policy implementation experience has demonstrated that new policies have sometimes generated unexpected and negative outcomes without necessarily explaining how these came about. Policies are not always implemented as envisioned, hence the importance of understanding the nature of policy implementation. # Methods Qualitative data were collected during three phases: 2011-2012 (contextual mapping), 2013-2014 (phase 1) and 2015 (phase 2). In-depth face-to-face interviews were held with key informants (n=71) using a theory of change interview guide, adapted for each phase. Key informants ranged from provincial actors (policy makers) district, subdistrict and primary health care (PHC) facility actors (policy implementers). All interviews were audio-recorded and transcribed. An iterative, inductive and deductive data analysis approach was utilized. Transcripts were coded with the aid of MAXQDA2018 (VERBI software GmbH, Germany). # Results Five groups of factors bringing about policy-practice gaps were identified. (i) Primary factors stemming from a direct lack of a critical component for policy implementation, tangible or intangible (resources, information, motivation, power); (ii) secondary factors stemming from a lack of efficient processes or systems (budget processes, limited financial delegations, top down directives, communication channels, supply chain processes, ineffective supervision and performance management systems); (iii) tertiary factors stemming from human factors (perception and cognition) and calculated human responses to a lack of primary, secondary and or extraneous factors, as coping mechanisms (ideal reporting and audit driven compliance with core standards); (iv) extraneous factors stemming from beyond the health system (national vocational training leading to national shortage of plumbers); and (v) an overall lack of systems thinking. # Conclusions South Africa needs to be applauded for adopting UHC. Noteworthy among factors fueling policy-practice gaps are human factors, perception and responses of actors in the system to a lack of resources, processes and systems, through among others, ideal reporting and audit driven compliance with core standards, bringing about an additional layer of unintended consequences, further widening that gap. Utilizing a systems approach to address challenges identified, could go a long way in making UHC a reality.

Highlights

  • South Africa, like many other countries is currently piloting National Health Insurance (NHI) reforms aimed at achieving Universal Health Coverage (UHC)

  • In addition to the the core constructs of CIT (Information, Motivation, Power, Resources and Interactions) our research revealed changing epidemiological profiles, dysfuntional processes and systems, human factors, national vocational training regulations and an overall lack of systems thinking as factors contributing to the policy practice gap in UHC policy implementation

  • Our findings revealed that secondary factors, referring to shortcomings in processes or systems in the form of supervision support systems 38, bureaucracy, employee management and development system (EPMDS) 38, lack of systems that take changing epidemiological profiles 10, 37 into account, disconnect between those who award contracts and those held accountable for service and transition states that are not planned for, were all contributing to policypractice discrepancies

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Summary

Methods

Qualitative data were collected during three phases: 2011-2012 (contextual mapping), 2013-2014 (phase 1) and 2015 (phase 2). Inductive and deductive data analysis approach was utilized. A qualitative, exploratory case study design utilizing a theory of change (TOC) approach was followed to explore universal health coverage policy implementation experiences. Inductive and deductive data analysis approach guided by contextual interaction theory was utilized. Ten pilot districts were identified by the department of health and selected as national health insurance (NHI) pilot sites. The national department of health (DoH) selected these sites based on poor performance on key health indicators like high maternal and child mortality rates. The case was the district (X), conveniently selected as the only NHI pilot district in that province at the time. Managerial support and willingness to participate in the study guided site selection

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