Replication Cost Scenarios
We conducted sensitivity analysis to estimate the costs of scale-up (i.e., replication, no start-up costs included) of the intervention with each booster call delivery type to 1000 participants under four hypothetical scenarios: (1) a stand-alone program implemented by an international non-governmental organization (NGO), aid agency, or other charity; i.e., an organization with out of country funding or a private facility; (2) a program integrated into existing programs within an NGO, aid agency, other charity, or private facility; (3) a stand-alone program implemented by the Ugandan Ministry of Health (MOH); (4) and a program integrated into existing programs within the MOH. Stand-alone programs mean that the resources are not shared with other organization functions, while integrated programs can share staff and other resources. In these scenarios, programs implemented by an international NGO, aid agency, other charity, or private facility are characterized by higher costs needed to support office space outside of MOH facilities, higher salaries of international NGO staff or staff employed in other facilities, and costs to purchase what may be deemed as luxury items such as water coolers and fans.In the stand-alone models, we assume that the program will hire an additional full-time counselor when the number of participants exceed the number who can be served by the number of existing counselors, while in programs that are integrated into existing programs, we assume that the program will only need to pay existing staff for the proportion of time needed to implement the intervention. In the NGO models, we assume that program oversight staff and counselors will be paid at a wage similar to their salary in the observed trial, while in the MOH models, we assume that program oversight staff and counselors will be paid according the MOH salary scales. We also assume that site rental, utilities, and some ‘luxury’ items would not be included in the costs of MOH models.We present graphs of the estimated overall cost of these hypothetical scenarios broken out by time period (start-up vs. implementation) and type of cost (capital vs. recurring).