Abstract

BackgroundWhile the world has made much global progress toward the reduction of new HIV infections, HIV continues to be an important public health problem. In the face of constantly constrained resources, donors and grantees alike must seek to optimize resources and deliver HIV services as efficiently as possible. While there is evidence that management practices can affect efficiency, this has yet to be rigorously tested in the context of HIV service delivery.MethodsThe present protocol describes the design of a cluster-randomized control trial to estimate the effect of management practices on efficiency. Specifically, we will evaluate the impact of an intervention focused on improving management practices among community-based organizations (CBOs), on the costs of HIV prevention services for female sex workers (FSW) in Nigeria. To design the intervention, we used a qualitative, design thinking-informed methodology that allowed us to understand management in its organizational context better and to develop a user-centered solution. After designing the suite of management tools, we randomly assigned 16 CBOs to the intervention group, and 15 CBOs to the control group. The intervention consisted of a comprehensive management training and a management “toolkit” to support better planning and organization of their work and better communication between CBOs and community volunteers. Both treatment and control groups received training to record data on efficiency—inputs used, and outputs produced. Both groups will be prospectively followed through to the end of the study, at which point we will compare the average unit cost per FSW served between the two groups using a quasi-experimental “difference-in-differences” (DiD) strategy. This approach identifies the effect of the intervention by examining differences between treatment and control groups, before and after the intervention thus accounting for time-constant differences between groups. Despite the rigorous randomization procedure, the small sample size and diversity in the country may still cause unobservable characteristics linked to efficiency to unbalanced between treatment and control groups at baseline. In anticipation of this possibility, using the quasi-experimental DiD approach allows any baseline differences to be “differenced out” when measuring the effect.DiscussionThis study design will uniquely add to the literature around management practices by building rigorous evidence on the relationship between management skills and practices and service delivery efficiency. We expect that management will positively affect efficiency. This study will produce valuable evidence that we will disseminate to key stakeholders, including those integral to the Nigerian HIV response.Trial registration This trial has been registered in Clinical Trials (NCT03371914). Registered 13 December 2018

Highlights

  • While over 19.1 billion USD in funding was available for the HIV response in low-and middle-income countries at the end of 2016 [1], HIV continues to be an important public health problem [2]

  • female sex workers (FSW) are targeted by current national efforts for HIV prevention, including the Minimum Prevention Package Intervention, or MPPI, which seeks to reduce the burden of HIV in key populations by providing a holistic suite of behavioral, biomedical, and structural components

  • We reviewed the journals before fieldwork and scheduled interviews with stakeholders, which included National Agency for the Control of AIDS (NACA) and Society for Family Health (SFH) staff, officers working at the community-based organizations (CBOs), and volunteers providing services (11 participants had filled the journals previously)

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Summary

Methods

Study setting and eligibility criteria The study will collect and analyze efficiency data from CBOs across 14 states in Nigeria. Participants learned how to collect basic facility information, monthly inputs (condoms, test kits, etc.) used for the interventions, staff working for the interventions and their salaries, monthly rent and utilities expenses, participation in trainings, and monthly outputs produced (number of FSW served by the interventions) They subsequently collected and uploaded retrospective data for the period January 2016 to July 2017 onto the survey platform. CBO managers from both treatment and control groups were asked to bring all CBO records with them to the Abuja training, and to utilize their records to input data on staff salaries, supplies, clients served, rent, utilities, and trainings at their CBO for records dated between January 2016 to July 2017. For prospective data collection, training participants will collect data from their own CBO on monthly inputs (salaries, commodities, rent, utilities, and trainings), outputs (FSW served, by intervention) and management practices on their tablet with the installed survey software. In anticipation of this possibility, using a quasi-experimental DiD approach allows any baseline differences to be “differenced out” when measuring the effect

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