HIV infection and care pathway: From guidelines to clinical practice

I Poizot-Martin1, V Obry-Roguet2, O Zaegel-Faucher2

  • 1Service d'immuno-hématologie clinique, Aix-Marseille université, AP-HM hôpital Sainte-Marguerite, 13009 Marseille, France; INSERM, IRD, SESSTIM, sciences économiques & Sociales de la Santé & Traitement de l'Information Médicale, AP-HM Sainte-Marguerite, service d'Immuno-hématologie clinique, biostatistique et technologies de l'information et de la communication, Aix Marseille Université, AP-HM, 13009 Marseille, France.

Insights

Personalized care for HIV patients requires frequent medical visits, especially for managing comorbidities. A multidisciplinary approach within one facility can effectively address these complex health needs.

Area of Science:

  • Infectious Diseases
  • Public Health
  • Geriatrics

Background:

  • HIV infection is a chronic condition requiring ongoing management.
  • Aging HIV-positive populations present complex comorbidity profiles.
  • Current care models may not adequately address the multifaceted needs of HIV patients.

Purpose of the Study:

  • To quantify medical visits and procedures for HIV patients based on comorbidities and risk factors.
  • To develop a personalized care pathway for HIV-infected individuals.
  • To inform the implementation of tailored healthcare strategies.

Main Methods:

  • Retrospective study of 915 HIV patients from 2016.
  • Algorithm developed based on national HIV management guidelines.
  • Comorbidity frequency analyzed by gender, transmission risk, and nadir CD4 count.

Main Results:

  • 74.5% of patients had at least one comorbidity, increasing with age and lower CD4 counts.
  • An average of six consultations/year/patient needed for comorbidity management.
  • 53% of patients required proctology consultations; 5115 procedures estimated.

Conclusions:

  • Personalized, multidisciplinary management in a single facility is a suitable model for HIV care.
  • This approach can effectively address the complex health needs of HIV-infected individuals.
  • Data supports optimizing resource allocation for HIV patient management.
Abstract

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