HIV risk score and prediction model in the United States: A Scoping Review Protocol

Human immunodeficiency virus (HIV) remains a significant public health concern in the United States, affecting approximately 1.2 million individuals, with a substantial portion unaware of their infection status. Identifying individuals at elevated risk of HIV infection through predictive models holds promise for enhancing public health efforts. A preliminary search from PubMed revealed a handful of studies focused on developing HIV risk prediction models or risk scores, each employing varying methodologies such as logistic regression and machine learning. These studies targeted a diverse population including men who have sex with men, emergency department visitors, and the general population, drawing data from surveys, surveillance, and electronic health records. Despite these individual efforts, there is a notable absence of comprehensive review papers summarizing the outcomes of these studies. Addressing this gap, this scoping review systematically identifies and synthesizes results from existing predictive models for HIV risk. The primary objective is to determine the variables used in HIV risk scoring and prediction models, contributing to a more comprehensive understanding of HIV risk assessment. This protocol describes the thorough procedure for conducting a scoping review. It outlines the inclusion and exclusion criteria for relevant studies and offers the search methods that will be used in PubMed, EMBASE, and CINAHL. Detailed paper screening, data extraction, and risk of bias assessment process were described. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement This project is supported by the Florida Department of Health under the contract CODUS. ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: For the scoping review we will only use data from published manuscript. The search terms has been included to facilitate replication of the work. I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes Not applicable.