A health systems intervention to strengthen the integration of tuberculosis and COVID‐19 detection: Outcomes of a quasi‐experimental study in a high burden tuberculosis district in KwaZulu Natal, South Africa

Author:

Curran Robyn1,Murdoch Jamie2,van Rensburg André J.3,Bachmann Max4,Awotiwon Ajibola1,Ras Christy‐Joy1,Petersen Inge3,Prince Martin5,Moultrie Harry67,Nzuza Mercury8,Fairall Lara15

Affiliation:

1. Knowledge Translation Unit, Department of Medicine University of Cape Town Cape Town South Africa

2. School of Life Course and Population Sciences, Department of Social Science and Health King's College London UK

3. Centre for Rural Health, School of Nursing and Public Health University of KwaZulu Natal Durban South Africa

4. Norwich Medical School, Faculty of Medicine and Health Science University of East Anglia Norwich UK

5. King's Global Health Institute, Department of Population Science King's College London UK

6. Centre for Tuberculosis National Institute for Communicable Diseases, Division of the National Health Laboratory Service Sandringham South Africa

7. School of Pathology, Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa

8. Department of Health Amajuba Health District Newcastle South Africa

Abstract

AbstractObjectivesThe adverse effects of the COVID‐19 pandemic on tuberculosis (TB) detection have been well documented. Despite shared symptoms, guidance for integrated screening for TBand COVID‐19 are limited, and opportunities for health systems strengthening curtailed by lockdowns. We partnered with a high TB burden district in KwaZulu‐Natal, South Africa, to co‐develop an integrated approach to assessing COVID‐19 and TB, delivered using online learning and quality improvement, and evaluated its performance on TB testing and detection.MethodsWe conducted a mixed methods study incorporating a quasi‐experimental design and process evaluation in 10 intervention and 18 control clinics. Nurses in all 28 clinics were all provided access to a four‐session online course to integrate TB and COVID‐19 screening and testing, which was augmented with some webinar and in‐person support at the 10 intervention clinics. We estimated the effects of exposure to this additional support using interrupted time series Poisson regression mixed models. Process evaluation data comprised interviews before and after the intervention. Thematic coding was employed to provide explanations for effects of the intervention.ResultsClinic‐level support at intervention clinics was associated with a markedly higher uptake (177 nurses from 10 intervention clinics vs. 19 from 18 control clinics). Lack of familiarity with online learning, and a preference for group learning hindered the transition from face‐to‐face to online learning. Even so, any exposure to training was initially associated with higher rates of GeneXpert testing (adjusted incidence ratio [IRR] 1.11, 95% confidence interval 1.07–1.15) and higher positive TB diagnosis (IRR 1.38, 1.11–1.71).ConclusionsThese results add to the knowledge base regarding the effectiveness of interventions to strengthen TB case detection during the COVID‐19 pandemic. The findings support the feasibility of a shift to online learning approaches in low‐resource settings with appropriate support and suggest that even low‐intensity interventions are capable of activating nurses to integrate existing disease control priorities during pandemic conditions.

Funder

Government of the United Kingdom

Publisher

Wiley

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,Parasitology

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