Abstract

BackgroundA quality improvement (QI) collaborative approach to enhancing integrated HIV-Tuberculosis (TB) services may be effective in scaling up and improving the quality of service delivery. Little is known of the role of organizational contextual factors (OCFs) in influencing the success of QI collaboratives. This study aims to determine which OCFs were associated with improvement in a QI collaborative intervention to enhance integrated HIV-TB services delivery.MethodsThis is a nested sub-study embedded in a cluster-randomized controlled trial. Sixteen nurse supervisors (clusters) overseeing 40 clinics were randomized (1:1) to receive QI training and mentorship, or standard of care support (SOC). In the QI arm, eight nurse supervisors and 20 clinics formed a “collaborative” which aimed to improve HIV-TB process indicators, namely HIV testing, TB screening, isoniazid preventive therapy (IPT) initiations, viral load testing, and antiretroviral therapy for TB patients. OCFs measured at baseline were physical infrastructure, key staff, flexibility of clinic hours, monitoring data for improvement (MDI), and leadership support. Surveys were administered to clinic staff at baseline and month 12 to assess perceptions of supportiveness of contexts for change, and clinic organization for delivering integrated HIV-TB services. Linear mixed modelling was used to test for associations between OCFs and HIV-TB process indicators.ResultsA total of 209 clinic staff participated in the study; 97 (46.4%) and 112 (53.6%) from QI and SOC arms, respectively. There were no differences between the QI and SOC arms scores achieved for physical infrastructure (78.9% vs 64.7%; p = 0.058), key staff (95.8 vs 92; p = 0.270), clinic hours (66.9 vs 65.5; p = 0.900), MDI (63.3 vs 65; p = 0.875, leadership support (46.0 vs 57.4; p = 0.265), and perceptions of supportiveness of contexts for change (76.2 vs 79.7; p = 0.128 and clinic organization for delivering integrated HIV-TB services (74.1 vs 80.1; p = 0.916). IPT initiation was the only indicator that was significantly improved in the parent study. MDI was a significantly associated with increasing IPT initiation rates [beta coefficient (β) = 0.004; p = 0.004].DiscussionMDI is a practice that should be fostered in public health facilities to increase the likelihood of success of future QI collaboratives to improve HIV-TB service delivery.Trial registrationClinicaltrials.gov, NCT02654613. Registered 01 June 2015.

Highlights

  • A quality improvement (QI) collaborative approach to enhancing integrated HIV-Tuberculosis (TB) services may be effective in scaling up and improving the quality of service delivery

  • There were no differences between the QI and standard of care (SOC) arms scores achieved for physical infrastructure (78.9% vs 64.7%; p = 0.058), key staff (95.8 vs 92; p = 0.270), clinic hours (66.9 vs 65.5; p = 0.900), monitoring data for improvement (MDI) (63.3 vs 65; p = 0.875, leadership support (46.0 vs 57.4; p = 0.265), and perceptions of supportiveness of contexts for change (76.2 vs 79.7; p = 0.128 and clinic organization for delivering integrated HIV-TB services (74.1 vs 80.1; p = 0.916)

  • MDI was a significantly associated with increasing isoniazid preventive therapy (IPT) initiation rates [beta coefficient (β) = 0.004; p = 0.004]

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Summary

Introduction

A quality improvement (QI) collaborative approach to enhancing integrated HIV-Tuberculosis (TB) services may be effective in scaling up and improving the quality of service delivery. This study aims to determine which OCFs were associated with improvement in a QI collaborative intervention to enhance integrated HIV-TB services delivery. South Africa has a significant contribution to make in achieving these targets and addressing the HIV-TB burden is a key public health priority [3]. To this end, the South African National Department of Health treatment guidelines, recommend integrated HIV-TB services, care, and treatment as routine care [4]. Recent studies have highlighted gaps in integrated HIV-TB service delivery such as patients missed for screening and diagnosis of HIV and TB [5,6,7]; missed viral load monitoring [8]; and sub-optimal coverage of TB prevention treatment for eligible HIV patients [1]

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