Center for Advancing Multimorbidity Science: Profiling risk and symptom expression to develop customized therapies for adults with multiple chronic conditions (CAMS)
The overall mission of the Center for Advancing Multimorbidity Science: Profiling risk and
symptom expression to develop customized therapies for adults with multiple chronic conditions
(CAMS) is to enhance interdisciplinary, biobehavioral research focused on complex multiple chronic
conditions in human adult populations.
Its specific purpose is to provide the infrastructure and resources to new investigators and their
collaborators integrating two subfields: Multimorbidity Science and Symptom Science, characterizing risk
susceptibility and treatment responder profiles using advanced analytic techniques. This will allow
clinicians and scientists to identify persons who are more likely to develop specific conditions/symptoms
as well as those who may respond to customized therapies. The specific aims of this Center are to:
1. Develop a sustainable interdisciplinary biobehavioral research capacity by establishing and
coordinating an infrastructure and resources that facilitates the integration of Multimorbidity and
Symptom Science through the development of patient risk and therapy responder profiles.
2. Build thematic science beginning with a reconceptualization of the science of Multiple Chronic
Conditions (Multimorbidity) to include Symptom Science.
3. Enable research that will develop into new programs of science and independent investigator
research applications.
The Center includes 61 faculty and builds upon the research strengths of the faculty at the University of
Iowa in symptom science and gerontological nursing (FY2018 research base is $1,118,436 in direct
costs). In addition, it is embedded in a strong supportive interdisciplinary network of investigators and
Centers from other University departments and Colleges. We will leverage exceptional University
resources and complete proposed projects and activities to further the integrated hybrid area of
Multimorbidity and Symptom Science. The Center aligns with three thematic areas of the 2016 NINR
Strategic Plan: Symptom Science, Self-Management, End-of-Life and Palliative Care and supports the
NINR Common Data Element (CDE) initiative.
Public Health Relevance Statement
The increasing prevalence of multiple chronic conditions (MCC), coupled with escalating costs and poor health
outcomes, is shifting clinical practice from a single-disease paradigm to one addressing multiple conditions and
symptoms through precision health, targeting preventive and therapeutic interventions toward those for whom
they will work best. Our Center will accelerate the realization of precision health by: a) broadening the
conceptual model of multimorbidity science to include symptoms/ symptom clusters; b) training new
investigators in multimorbidity science and advanced data analytics; and c) mentoring new investigators from
pilot projects through the established programs of research in multimorbidity and precision science. In
summary, our Center will advance precision health through the integration of Multimorbidity and Symptom
Science: conceptually, methodologically, and empirically.
NIH Spending Category
No NIH Spending Category available.
Project Terms
AcademyAddressAdultAlgorithmsAreaCharacteristicsClinicalCommon Data ElementComplexComputer ModelsCoupledCustomData AnalyticsDevelopmentDiagnosisDirect CostsDiscipline of NursingDiseaseFacultyFundingGeriatric NursingHealthHealthcareHybridsIndividualInfrastructureInterventionIowaKnowledgeLife StyleMedicineMentorsMethodologyMissionModelingMolecularNational Research CouncilOutcomePalliative CarePatient riskPatientsPersonsPilot ProjectsPopulationPrecision HealthPredispositionPrevalencePreventionPreventiveResearchResearch DesignResearch PersonnelResourcesRiskScienceScientistSelf ManagementSigns and SymptomsStrategic PlanningSubgroupSymptomsTaxonomyTechniquesTherapeutic InterventionTrainingUnited States Agency for Healthcare Research and QualityUnited States National Institutes of HealthUnited States National Library of MedicineUniversitiesUniversity resourcesWorkadvanced analyticsadvanced systembasebiobehaviorclinical decision-makingclinical practicecollegecontextual factorscostdisease classificationend of lifegenetic makeupindividualized medicinelensmultiple chronic conditionsprecision medicinepreferencepreventive interventionprogramsskillssymptom clustersymptom sciencetargeted treatmenttreatment responders
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Publications
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