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Development and Validation of HIV-ASSIST, an Online, Educational, Clinical Decision Support Tool to Guide Patient-Centered ARV Regimen Selection.
Maddali, Manoj V; Mehtani, Nicky J; Converse, Caro; Kapoor, Sunaina; Pham, Paul; Li, Jonathan Z; Shah, Maunank.
Afiliação
  • Maddali MV; Department of Medicine, University of California San Francisco, San Francisco, CA.
  • Mehtani NJ; Department of Medicine, Johns Hopkins University, Baltimore, MD.
  • Converse C; School of Medicine, St. George's University, Grenada, West Indies.
  • Kapoor S; Department of Pediatrics, Johns Hopkins University, Baltimore, MD.
  • Pham P; Division of Infectious Diseases, Johns Hopkins University, Baltimore, MD.
  • Li JZ; Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
  • Shah M; Division of Infectious Diseases, Johns Hopkins University, Baltimore, MD.
J Acquir Immune Defic Syndr ; 82(2): 188-194, 2019 10 01.
Article em En | MEDLINE | ID: mdl-31513553
ABSTRACT

BACKGROUND:

Multiple antiretroviral (ARV) regimens are effective at achieving HIV viral suppression, but differ in pill burden, side effects, barriers to resistance, and impact on comorbidities. Current guidelines advocate for an individualized approach to ARV regimen selection, but synthesizing these modifying factors is complex and time-consuming.

METHODS:

We describe the development of HIV-ASSIST (https//www.hivassist.com), a free, online decision support tool for ARV selection and HIV education. HIV-ASSIST ranks potential ARV options for any given patient scenario using a composite objective of achieving viral suppression while maximizing tolerability and adherence. We used a multiple-criteria decision analysis framework to construct mathematical algorithms and synthesize various patient-specific (eg, comorbidities and treatment history) and virus-specific (eg, HIV mutations) attributes. We then conducted a validation study to evaluate HIV-ASSIST with prescribing practices of experienced HIV providers at 4 large academic centers. We report on concordance of provider ARV selections with the 5 top-ranked HIV-ASSIST regimens for 10 diverse hypothetical patient-case scenarios.

RESULTS:

In the validation cohort of 17 experienced HIV providers, we found 99% concordance between HIV-ASSIST recommendations and provider ARV selections for 4 case-scenarios of ARV-naive patients. Among 6 cases of ARV-experienced patients (3 with and 3 without viremia), there was 84% and 88% concordance, respectively. Among 3 cases of ARV-experienced patients with viremia, providers reported 20 different ARV selections, suggesting substantial heterogeneity in ARV preferences in clinical practice.

CONCLUSIONS:

HIV-ASSIST is a novel patient-centric educational decision support tool that provides ARV recommendations concordant with experienced HIV providers for a diverse set of patient scenarios.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções por HIV / Educação de Pacientes como Assunto / Assistência Centrada no Paciente / Fármacos Anti-HIV / Sistemas de Apoio a Decisões Clínicas Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: J Acquir Immune Defic Syndr Assunto da revista: SINDROME DA IMUNODEFICIENCIA ADQUIRIDA (AIDS) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções por HIV / Educação de Pacientes como Assunto / Assistência Centrada no Paciente / Fármacos Anti-HIV / Sistemas de Apoio a Decisões Clínicas Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: J Acquir Immune Defic Syndr Assunto da revista: SINDROME DA IMUNODEFICIENCIA ADQUIRIDA (AIDS) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Canadá