The role of emergent champions in policy implementation for decentralised drug-resistant tuberculosis care in South Africa

Champions are recognised as important to driving organisational change in healthcare quality improvement initiatives in high-income settings. In low-income and middle-income countries with a high disease burden and constrained human resources, their role is highly relevant yet understudied. Within a broader study on policy implementation for decentralised drug-resistant tuberculosis care in South Africa, we characterised the role, strategies and organisational context of emergent policy champions

The role of emergent champions in policy implementation for decentralised drug-resistant tuberculosis care in South Africa

From BMJ via Jisc Publications RouterHistory: received 2022-02-24, accepted 2022-11-07, ppub 2022-12, epub 2022-12-09Peer reviewed: TrueAcknowledgements: This paper draws on data from a 4-year project that aimed to gain an understanding of the policy context, patient care pathways and models of decentralisation of DR-TB care in three South African provinces. The authors would like to thank and acknowledge Dr Norbert Ndjeka (SA NDOH), key informants, staff and participants interviewed and the provinces of the Western Cape, Eastern Cape, KwaZulu-Natal for all their time, critical insights and assistance.Publication status: PublishedFunder: Medical Research Council; FundRef: http://dx.doi.org/10.13039/501100000265; Grant(s): MR/N015924/1Karina Kielmann - ORCID: 0000-0001-5519-1658 https://orcid.org/0000-0001-5519-1658Objective: Champions are recognised as important to driving organisational change in healthcare quality improvement initiatives in high-income settings. In low-income and middle-income countries with a high disease burden and constrained human resources, their role is highly relevant yet understudied. Within a broader study on policy implementation for decentralised drug-resistant tuberculosis care in South Africa, we characterised the role, strategies and organisational context of emergent policy champions. Design: Interviews with 34 healthcare workers in three South African provinces identified the presence of individuals who had a strong influence on driving policy implementation forward. Additional interviews were conducted with 13 participants who were either identified as champions in phase II or were healthcare workers in facilities in which the champions operated. Thematic analyses using a socio-ecological framework further explored their strategies and the factors enabling or obstructing their agency. Results: All champions occupied senior managerial posts and were accorded legitimacy and authority by their communities. ‘Disease-centred’ champions had a high level of clinical expertise and placed emphasis on clinical governance and clinical outcomes, while ‘patient-centred’ champions promoted pathways of care that would optimise patients’ recovery while minimising disruption in other spheres of their lives. Both types of champions displayed high levels of resourcefulness and flexibility to adapt strategies to the resource-constrained organisational context. Conclusion: Policymakers can learn from champions’ experiences regarding barriers and enablers to implementation to adapt policy. Research is needed to understand what factors can promote the sustainability of champion-led policy implementation, and to explore best management practices to support their initiatives.pubpu

The role of emergent champions in policy implementation for decentralised drug-resistant tuberculosis care in South Africa.

OBJECTIVE: Champions are recognised as important to driving organisational change in healthcare quality improvement initiatives in high-income settings. In low-income and middle-income countries with a high disease burden and constrained human resources, their role is highly relevant yet understudied. Within a broader study on policy implementation for decentralised drug-resistant tuberculosis care in South Africa, we characterised the role, strategies and organisational context of emergent policy champions. DESIGN: Interviews with 34 healthcare workers in three South African provinces identified the presence of individuals who had a strong influence on driving policy implementation forward. Additional interviews were conducted with 13 participants who were either identified as champions in phase II or were healthcare workers in facilities in which the champions operated. Thematic analyses using a socio-ecological framework further explored their strategies and the factors enabling or obstructing their agency. RESULTS: All champions occupied senior managerial posts and were accorded legitimacy and authority by their communities. 'Disease-centred' champions had a high level of clinical expertise and placed emphasis on clinical governance and clinical outcomes, while 'patient-centred' champions promoted pathways of care that would optimise patients' recovery while minimising disruption in other spheres of their lives. Both types of champions displayed high levels of resourcefulness and flexibility to adapt strategies to the resource-constrained organisational context. CONCLUSION: Policymakers can learn from champions' experiences regarding barriers and enablers to implementation to adapt policy. Research is needed to understand what factors can promote the sustainability of champion-led policy implementation, and to explore best management practices to support their initiatives

Organisation of care for people receiving drug-resistant tuberculosis treatment in South Africa: a mixed methods study.

OBJECTIVES: Treatment for multidrug-resistant/rifampicin-resistant tuberculosis (MDR/RR-TB) is increasingly transitioning from hospital-centred to community-based care. A national policy for decentralised programmatic MDR/RR-TB care was adopted in South Africa in 2011. We explored variations in the implementation of care models in response to this change in policy, and the implications of these variations for people affected by MDR/RR-TB. DESIGN: A mixed methods study was done of patient movements between healthcare facilities, reconstructed from laboratory records. Facility visits and staff interviews were used to determine reasons for movements. PARTICIPANTS AND SETTING: People identified with MDR/RR-TB from 13 high-burden districts within South Africa. OUTCOME MEASURES: Geospatial movement patterns were used to identify organisational models. Reasons for patient movement and implications of different organisational models for people affected by MDR/RR-TB and the health system were determined. RESULTS: Among 191 participants, six dominant geospatial movement patterns were identified, which varied in average hospital stay (0-281 days), average patient distance travelled (12-198 km) and number of health facilities involved in care (1-5 facilities). More centralised models were associated with longer delays to treatment initiation and lengthy hospitalisation. Decentralised models facilitated family-centred care and were associated with reduced time to treatment and hospitalisation duration. Responsiveness to the needs of people affected by MDR/RR-TB and health system constraints was achieved through implementation of flexible models, or the implementation of multiple models in a district. CONCLUSIONS: Understanding how models for organising care have evolved may assist policy implementers to tailor implementation to promote particular patterns of care organisation or encourage flexibility, based on patient needs and local health system resources. Our approach can contribute towards the development of a health systems typology for understanding how policy-driven models of service delivery are implemented in the context of variable resources

Organisation of care for people receiving drug-resistant tuberculosis treatment in South Africa: a mixed methods study

From BMJ via Jisc Publications RouterHistory: received 2023-03-03, accepted 2023-10-09, ppub 2023-11, epub 2023-11-18Peer reviewed: TrueAcknowledgements: The authors wish to thank the Departments of Health of the Western Cape, Eastern Cape, KwaZulu-Natal, and acknowledge the staff at the NHLS for their tremendous input and assistance. We give special mention to the late Dr Iqbal Masters and Mrs Anna Maria Evans for their contributions to the study. We also appreciate the support of Staff Nurse Cheryl Liedeman and Dr Widaad Zemanay.Publication status: PublishedFunder: Medical Research Council; FundRef: http://dx.doi.org/10.13039/501100000265; Grant(s): MR/N015924/1Funder: Wellcome Trust; FundRef: http://dx.doi.org/10.13039/100010269; Grant(s): MR/N015924/1Funder: Australian National Health and Medical Research Council; Grant(s): APP1174455Karina Kielmann - ORCID: 0000-0001-5519-1658 https://orcid.org/0000-0001-5519-1658Objectives: Treatment for multidrug-resistant/rifampicin-resistant tuberculosis (MDR/RR-TB) is increasingly transitioning from hospital-centred to community-based care. A national policy for decentralised programmatic MDR/RR-TB care was adopted in South Africa in 2011. We explored variations in the implementation of care models in response to this change in policy, and the implications of these variations for people affected by MDR/RR-TB. Design: A mixed methods study was done of patient movements between healthcare facilities, reconstructed from laboratory records. Facility visits and staff interviews were used to determine reasons for movements. Participants and setting: People identified with MDR/RR-TB from 13 high-burden districts within South Africa. Outcome measures: Geospatial movement patterns were used to identify organisational models. Reasons for patient movement and implications of different organisational models for people affected by MDR/RR-TB and the health system were determined. Results: Among 191 participants, six dominant geospatial movement patterns were identified, which varied in average hospital stay (0–281 days), average patient distance travelled (12–198 km) and number of health facilities involved in care (1–5 facilities). More centralised models were associated with longer delays to treatment initiation and lengthy hospitalisation. Decentralised models facilitated family-centred care and were associated with reduced time to treatment and hospitalisation duration. Responsiveness to the needs of people affected by MDR/RR-TB and health system constraints was achieved through implementation of flexible models, or the implementation of multiple models in a district. Conclusions: Understanding how models for organising care have evolved may assist policy implementers to tailor implementation to promote particular patterns of care organisation or encourage flexibility, based on patient needs and local health system resources. Our approach can contribute towards the development of a health systems typology for understanding how policy-driven models of service delivery are implemented in the context of variable resources.pubpu