grant

Effectiveness and implementation of a health system intervention to improve quality of cancer care for rural, underserved patients

Organization UNIVERSITY OF IOWALocation IOWA CITY, UNITED STATESPosted 1 Apr 2021Deadline 31 Mar 2027
NIHUS FederalResearch GrantFY2025AccreditationAddressAdoptedAdoptionAmerican College of SurgeonsAreaBreastBreast CancerBreast Cancer PatientBreast Conservation TreatmentBreast Tumor PatientBreast-Conserving SurgeryCancer CenterCancer Death RatesCancer PatientCancer TreatmentCancersCaringColon CancerColon CarcinomaColon or RectumColorectalColorectal CancerCommunity HospitalsConsolidated Framework for Implementation ResearchConsolidated Framework for Implementation ScienceConsolidated Framework for Implementing ChangeDataData CollectionDeath RateDecrease disparityDiagnosisDiffusionEffectivenessFamiliarityGoalsGuidelinesHealth systemHomeHospitalsIncidenceInterventionIntervention TrialInterventional trialInterviewIowaKentuckyLogisticsLower disparityMalignant Breast NeoplasmMalignant Neoplasm TherapyMalignant Neoplasm TreatmentMalignant NeoplasmsMalignant TumorMeasuresMethodsModelingMonitorNeeds AssessmentOutcomePatientsPatternPerformancePhysiciansPopulationPreparednessProctor evaluation modelProctor frameworkProctor multi-level outcomes frameworkProctor multilevel outcomes frameworkProctor process outcomesProctor taxonomyQOCQualifyingQuality of CareRadiation therapyRadiotherapeuticsRadiotherapyReadinessResearchResearch ResourcesResectedResource SharingResourcesRiskRuralRural HospitalsRural PopulationRural groupRural peopleServicesSocial supportSpecialistSpecific qualifier valueSpecifiedStructureTestingTimeTransportationUnited StatesUniversitiesUrban PopulationWomanWorkaccreditedadaptation algorithmanti-cancer therapybreast cancer diagnosisbreast conservation surgerybreast conserving treatmentcancer carecancer disparitycancer health disparitycancer in the coloncancer registrycancer therapycancer typecancer-directed therapycancer-related health disparitycolorectumcostdata registrydifferences in healthdiffuseddiffusesdiffusingdiffusionsdisparity in cancerdisparity reductiondraining lymph nodeevidence baseframework by proctorhealth differencehealth services infrastructurehealth system infrastructurehealthcare delivery infrastructurehealthcare infrastructurehealthcare system infrastructurehomeshospital careimplementation determinantsimplementation factorsimplementation outcomesimplementation processimplementation scienceimprovedindividuals with breast cancermalignancymalignant breast tumormitigate disparitymortalitymortality ratemortality ratiomultidisciplinaryneoplasm registryneoplasm/cancernetwork modelsnovelpatients with breast cancerperson with breast cancerpost interventionpreferencepreservationproctor conceptual modelproctor implementationproctor modelprogramspsychosocialradiation treatmentreduce disparityreduction in disparityregional lymph noderural arearural cancer carerural disparitiesrural dwellersrural individualrural localityrural locationrural patientsrural placerural regionrural residentrural settingsocial support networksurvival outcomesurvivorshiptheoriestooltreatment guidelinestreatment planningtreatment with radiationurban groupurban individualurban people
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Full Description

PROJECT SUMMARY
There is growing evidence that limited access to high-quality cancer treatment is one of the main drivers of

higher cancer mortality rates among rural cancer patients. Our analyses of Iowa Cancer Registry data indicate

that 40% of rural patients with breast and colorectal cancers receive most or all definitive treatment in rural

hospitals that do not collect or monitor data on their quality of cancer care, and are not accredited by the

American College of Surgeons Commission on Cancer (CoC). Our data also shows these patients are less

likely to receive guideline-concordant care. Given patients' needs and preferences to receive cancer care

locally, a promising strategy to improve quality of cancer care and outcomes in rural populations is to intervene

directly with the community hospitals in these areas. New evidence has demonstrated effectiveness of this

approach: the Markey Cancer Center Affiliate Network (MCCAN) was formed by the University of Kentucky

(UK) Markey Cancer Center to improve quality of cancer care in their own rural, low-resourced state, one that

leads the nation in cancer incidence and mortality. Over the last decade MCCAN has facilitated the sharing

and diffusion of resources and best practices throughout their network. As a result, affiliates markedly

improved performance on established, cancer care quality measures and expanded their services (e.g.,

psychosocial and survivorship support). They were also almost 3 times more likely to obtain CoC accreditation

than their matched controls. However, the MCCAN model has not been rigorously defined, evaluated or tested

in any other setting. We propose to adapt this successful health system-level intervention for Iowa, establishing

the Iowa Cancer Affiliate Network (I-CAN). Although there are similarities between Iowa and Kentucky's

populations that suggest the MCCAN model may be a good fit, there are also significant differences in

healthcare infrastructure and resources that require careful adaptation of the intervention prior to its

implementation in order to retain its effectiveness. We will use novel, rigorously developed, theory-based

implementation science methods to identify MCCAN's core functions (i.e., what makes it effective), study the

implementation process and evaluate how I-CAN performs in a new context. We have identified 4 rural, Iowa

hospitals to participate in this intervention trial and developed expert support teams to assist key stakeholder

groups within each hospital. Through interviews and qualitative analyses, we will assess determinants and

outcomes of the implementation process, and perceived value of the CoC accreditation standards and the

intervention itself as a way to improve the quality of cancer care for their patients. We will compare compliance

with treatment-related quality measures and the proportion of CoC standards of cancer care implemented in

target and control hospitals, pre- and post-intervention using a difference-in-difference estimator. This work

could lead to dissemination of similar models across rural settings thereby improving quality of care, reducing

rural disparities in cancer outcomes and giving rural hospitals an avenue to demonstrate their quality of care.

Grant Number: 5R01CA254628-05
NIH Institute/Center: NIH

Principal Investigator: MARY CHARLTON

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