GGrantIndex
← Search

Regional Oncology Research Center (Digital Tools and Interventions)

$100,000P30FY2023CANIH

Johns Hopkins University, Baltimore MD

Investigators

Linked publications, trials & patents

Trial NCT02989636Trial NCT02516670Trial NCT02491411Trial NCT02489357Trial NCT02029950Trial NCT01935947Trial NCT01870596Trial NCT01783171Trial NCT01757639Trial NCT01578109Trial NCT01349972Trial NCT01349959Trial NCT01330173Trial NCT01264432Trial NCT01207726Trial NCT01207687Trial NCT01139970Trial NCT01132573Trial NCT01061749Trial NCT00971737Trial NCT00963807Trial NCT00899951Trial NCT00899548Trial NCT00898482Trial NCT00897338Trial NCT00897273Trial NCT00847171Trial NCT00795002Trial NCT00727441Trial NCT00673569Trial NCT00670917Trial NCT00660348Trial NCT00641303Trial NCT00641147Trial NCT00631137Trial NCT00616967Trial NCT00602771Trial NCT00588991Trial NCT00566098Trial NCT00524017Trial NCT00499733Trial NCT00499486Trial NCT00493025Trial NCT00492921Trial NCT00489281Trial NCT00478062Trial NCT00478010Trial NCT00471653Trial NCT00470093Trial NCT00469820Trial NCT00445484Trial NCT00433472Trial NCT00425477Trial NCT00407966Trial NCT00401024Trial NCT00389610Trial NCT00387465Trial NCT00381550Trial NCT00373191Trial NCT00369681Trial NCT00368914Trial NCT00363649Trial NCT00361296Trial NCT00356928Trial NCT00354640Trial NCT00343447Trial NCT00336063Trial NCT00334542Trial NCT00324870Trial NCT00313560Trial NCT00311623Trial NCT00305760Trial NCT00303927Trial NCT00293410Trial NCT00293397Trial NCT00293280Trial NCT00290732Trial NCT00287989Trial NCT00287872Trial NCT00281970Trial NCT00281866Trial NCT00278200Trial NCT00278161Trial NCT00278109Trial NCT00276744Trial NCT00276601Trial NCT00276588Trial NCT00274768Trial NCT00265915Trial NCT00265837Trial NCT00262834Trial NCT00258206Trial NCT00258180Trial NCT00255775Trial NCT00255710Trial NCT00245115Trial NCT00244959Trial NCT00242996Trial NCT00238368Trial NCT00238277

Abstract

❖ PROJECT SUMMARY This application is being submitted in response to the NOSI NOT-CA-23-041.The increasing use of digital health tools and interventions such as telehealth has resulted in a new era of patient-centered cancer care. Such care moves beyond the traditional in-person models to real-time and dynamic assessments and interventions enabled by telehealth and other digital health tools. The COVID-19 pandemic has also resulted in an unprecedented surge in technology-enabled patient-provider interactions. However, among cancer patients, sociodemographic disparities in telehealth utilization exist, which result in adverse health outcomes. Additionally, minoritized cancer patients report lower satisfaction with patient-provider communication during telehealth visits. As we transition through the COVID- 19 era, telehealth continues to be one of the modes of care delivery. Thus, models for integrating telehealth with traditional care processes become increasingly important, and an assessment of the effects of telehealth on patient- provider communication and health outcomes will be particularly valuable. Our proposed project addresses the hurdles in this process through the application of informatics, health services research, and stakeholder-engaged research. We propose to create a database of healthcare data and publicly available data to assess the effect of telehealth on patient-provider communication and outcomes of cancer care as well as to evaluate how the individual, interpersonal, community, and/or societal levels influence the effect of telehealth on patient-provider communication and resulting cancer-related health outcomes. This project will be undertaken by an experienced interdisciplinary team of investigators with many pre-existing resources. Many synergies will be gained by coordinating this supplement with previous efforts whereby our team developed and piloted different strategies to assess the outcomes of telehealth care across different patient populations. This oncology-focused supplement leverages data from our P30 center to advance cancer research and equity. The first aim of this project will be to apply objective and evidence- based outcome measures to assess the effect of telehealth on patient-provider communication across the cancer control continuum. Thus, we will perform an environmental scan and develop a large database containing such measures by using real-time data from electronic health records, claims, and patient surveys/reports. We will then examine characteristics of patient-provider communications via telehealth in terms of the patient population, phase of the cancer care continuum, type of telehealth approach, and intervention, and assess the effect of telehealth visits on cancer-related health outcomes and explore characteristics of the patient-provider communications that mediate better cancer-related health outcomes. The second aim will be to perform a comprehensive assessment of how individual, interpersonal, community, and societal factors influence the effect of telehealth on patient-provider communication and cancer-related health outcomes. Therefore, we will link real-time patient- and community-level data on individual, interpersonal, community, and/or societal characteristics and examine how such factors moderate the effect of telehealth on patient-provider communication, and on cancer-related health outcomes.

View original record on NIH RePORTER →