grant

QALYs, Comorbidities, and Cost-effectiveness of HIV Care in the Department of Defense vs the Veterans Health Administration

Organization HENRY M. JACKSON FDN FOR THE ADV MIL/MEDLocation BETHESDA, UNITED STATESPosted 1 Aug 2024Deadline 30 Jun 2027
NIHUS FederalResearch GrantFY2025AIDSAIDS VirusAccess to CareAccountingAcquired Immune DeficiencyAcquired Immune Deficiency SyndromeAcquired Immune Deficiency Syndrome VirusAcquired Immunodeficiency SyndromeAcquired Immunodeficiency Syndrome VirusAddressAgeAgingAreaArmed Forces PersonnelCancersCardiovascular DiseasesCaringCharacteristicsCohort StudiesCollaborationsConcurrent StudiesConnectionist ModelsCost Effectiveness AnalysisCustomDataData SetDepartment of DefenseDiagnosisEconomicsExhibitsFutureGoalsHIVHealthHealth Care SystemsHealth Services AccessibilityHuman Immunodeficiency VirusesImmuneImmunesIncidenceIncrease lifespanInfectious Diseases / LaboratoryInfectious Diseases ResearchInvestigatorsLAV-HTLV-IIILifeLife ExpectancyLymphadenopathy-Associated VirusMachine LearningMalignant NeoplasmsMalignant TumorMeasuresMediatingMethodsMilitaryMilitary PersonnelModelingModernizationNIAAANIAIDNational Institute of AgingNational Institute of Allergy and Infectious DiseaseNational Institute on AgingNational Institute on Alcohol Abuse and AlcoholismNatural HistoryNeural Network ModelsNeural Network SimulationPatient PreferencesPatient TransferPatient riskPatientsPerceptronsPersonsPolicy MakerPopulationPopulation CharacteristicsPreventiveQALYQOLQuality of lifeQuality-Adjusted Life ExpectancyQuality-Adjusted Life YearsQuestionnairesResearchResearch PersonnelResearch PriorityResearchersRiskScoring MethodSingle-Payer SystemSurvey InstrumentSurveysSystemTimeToxic effectToxicitiesVeteransVeterans Health AdministrationVeterans Health AffairsVirusVirus-HIVWorkaccess to health servicesaccess to servicesaccess to treatmentaccessibility to health servicesagesaging processassess effectivenessassessing cost effectivenessavailability of servicesbeneficiaryboost longevitycardiovascular disordercare accesscare costscare servicescare systemsco-infectionco-morbidco-morbiditycoinfectioncomorbiditycomputer based predictioncostcost effectivecost effectivenesscost efficient analysiscost-effective analysiscost-effectiveness evaluationcustomsdetermine cost effectivenessdetermine effectivenesseconomiceffectiveness assessmenteffectiveness evaluationeffectiveness measureelongating the lifespanenhance longevityevaluate cost-effectivenessevaluate effectivenessexamine cost effectivenessexamine effectivenessexperienceextend life spanextend lifespanextend longevityfoster longevityhealth recordhealth related quality of lifehealth service accesshealth services availabilityhigh riskimprove lifespanimprove longevityimprovedimproved outcomeindexinginterestlife spanlifespanlifespan extensionmachine based learningmalignancymilitary populationmortalityneoplasm/cancernew approachesnovelnovel approachesnovel strategiesnovel strategypredictive modelingpreferencepreventpreventingprolong lifespanprolong longevitypromote lifespanpromote longevitysecondary analysisservice availabilitysingle payersupport longevitytreatment access
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Full Description

QALYs, Comorbidities, and Cost-effectiveness of HIV Care in the Department of Defense vs the
Veterans Health Administration

I. ABSTRACT

The challenges faced by people with HIV (PWH) are changing. Modern HIV treatment and care have reduced

AIDS and extended lifespans. Throughout these longer lifespans, however, PWH are more likely to be diagnosed

with non-AIDS comorbidities than people without HIV. The focus of HIV research and treatment must therefore

shift away from AIDS and mortality towards non-AIDS comorbidities and the quality of this extended lifespan.

Treatment of these non-AIDS comorbidities constitutes a substantial share of long-term HIV care cost. We will

assess the cost-effectiveness of HIV care in two large single-payer systems using a novel approach focusing on

the challenges of non-AIDS comorbidities and quality of life faced by PWH today.

Health records for over 4,268 patients from the US Military HIV Natural History Study (NHS) and over 55,880

patients from the Veterans Aging Cohort Study (VACS) will be derived for the year range 2002-2022. Quality-

adjusted life-years (QALYs) will be employed to take into account patient preferences for their current health

state relative to perfect health. Health states will be identified as combinations of stages of HIV and permutations

of comorbidities. The QALY for surviving an additional year in each health state will be estimated. QALYs will be

estimated using traditionally employed and novel methods. As we demonstrate, our machine learning application

allows us to accurately measure QALYs in the absence of quality of life questionnaire data. The time of

progressing from one health state to another will be estimated. A model of HIV progression capable of

determining the patient's risk of future non-AIDS comorbidities will be developed. The cost-effectiveness of

modern era HIV care in the DoD vs the VA will be assessed using this new model.

This work will produce several solutions for researchers, clinicians, and policymakers. The study will produce

formulas enabling researchers to accurately measure QALYs in the absence of health-related quality of life

data. The study will produce a new model of HIV progression enabling clinicians to predict and prevent the

non-AIDS comorbidities the patient is at highest risk of developing. Employing access to Kaiser Permanente,

Ryan White Care, and other data with propensity score methods will allow us to estimate custom models for

those populations and generalize our findings to those populations. The study will inform DoD and VA

policymakers whether it is more cost-effective to retain PWH in the DoD or transfer them to the VA.

The proposal addresses the Office of AIDS Research priority area of “Addressing HIV-Associated

Comorbidities, Coinfections, & Complications”, the National Institute of Aging research priority area of

“Understanding the Dynamics of the Aging Process” Goal A, Goal E, and Goal F by studying comorbidity

progression paths among PWH as they age, informing of future complications and possible preventive efforts,

and determining cost-effective systems for the management of those comorbidities.

Grant Number: 5R21AI174937-02
NIH Institute/Center: NIH

Principal Investigator: Brian Agan

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