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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT05185232
Other study ID # Pro00016403
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date April 1, 2022
Est. completion date June 30, 2024

Study information

Verified date January 2022
Source Children's National Research Institute
Contact Anitha S John, MD, Ph.D
Phone 2024762728
Email anjohn@childrensnational.org
Is FDA regulated No
Health authority
Study type Observational [Patient Registry]

Clinical Trial Summary

Congenital heart defects (CHDs) are a heterogeneous group of rare diseases of varying severity, each diagnosis with its unique set of co-morbidities. In addition to the heterogeneity, perhaps the greatest challenge to conducting comparative effectiveness research in CHD patients are the poor rates of successful transition from pediatric to adult centered cardiology care and high rates of gaps in recommend care for adults with CHD. This study will use PCORnet to examine the effects of gaps in recommended care (cardiology visits) on patient prioritized outcomes for adults with non-complex and complex subtypes of CHD. This system will be established through 14 (12 recruiting) PCORnet affiliated institutions and linkage to the Congenital Heart Initiative registry (https://chi.eurekaplatform.org), the first patient powered registry for adults with CHD. This registry launched in December 2020, and is IRB approved at Children's National Hospital (IRB# Pro00014697). Funded by PCORI, this project will recruit patients at the 12 PCORnet affiliated institutions and will invite them to contribute their health records data and then join the established Congenital Heart Initiative. By enrolling patients and linking their PCORnet (health record) data into an existing adult congenital heart disease (ACHD) specific registry, future interventions to reduce gaps in care based on study findings can be rapidly implemented in real-world settings through the strong partnerships established with key CHD stakeholders.


Description:

ACHD Surveillance Program/Observational Cohort (Aim 1 and Aim 2): To investigate the first two aims of this proposal, the study investigators will design and analyze an observational cohort of subjects >18 years of age with CHD from 14 PCORnet sites. Data is collected retrospectively (5 years prior to initial data query). Each subject with a diagnosis of CHD, > 18 years of age, and at least 1-3 years of retrospective information will be included in the study. Retrospective data will be obtained from the previous 1-3 years to ascertain adherence to recommended care by the ACC/AHA, specific to CHD subtype. Retrospective data collection will be to 1-3 years, with 2 years likely being sufficient to identify our patient cohorts. The investigators will still perform a retrospective data search for 5 years, but will not exclude patients if they do not have data sets for the full five year period. The study team will specifically investigate frequency of gaps in recommended cardiology follow-up. Gaps in recommended care will be determined by the individual subtype of disease. The investigators will also examine advanced testing and imaging, but that will not be the primary measure of adherence to recommended care. In this cohort, the main outcomes of interest are key comorbidities and healthcare utilization. The investigators will be performing 2 cycles of data searches (March 2022 and January 2024), including the initial search for one year of follow-up after the subject's last cardiology visit. Of note, with the COVID-19 pandemic, healthcare utilization has been affected throughout the population, not just those patients with rare diseases. To mitigate some of these issues, the study investigators will institute the following. For the data pertaining to the proposed study of loss to care, the retrospective data search in January 2020 (pre-COVID19) will be used and adjusted for lesion follow-up as described. Given the unique circumstances, the study investigators do feel that obtaining data during the COVID-19 pandemic is extremely important for this patient population, especially to identify the factors that might make some patients more vulnerable to loss to follow-up. Therefore, study investigators will analyze the retrospective data from February 2020 - June 2021 as a separate cohort in order to better identify the effects of the pandemic on this population of patients. Many centers (including all within the proposed study) began implementing telehealth visits, and will include this in the data capture. Prospective cohort through CHI registry linkage (Aim 3): To investigate the third aim of the study, study investigators will design and analyze a prospective cohort design with the goal of establishing a diverse panel of CHD patients who are either (1) adhering or (2) not adhering to recommended care guidelines. Patients with qualifying CHD (ICD9/10 codes) who are > 18 years of age will be included in the study. Once patients are identified, site-specific PIs and their teams will facilitate enrollment into the Congenital Heart Initiative registry through the Eureka Research Platform with an electronic patient recruitment and engagement platform used with several large research projects. Specifically, patient prioritized outcomes (quality of life, mental health, and physical health & functioning) will be assessed among registrants who will be stratified by disease complexity and gaps in care.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 3000
Est. completion date June 30, 2024
Est. primary completion date October 1, 2023
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: For Aims 1 & 2, participants will be deemed eligible to participate if they meet the following criteria: - Age greater than or equal to 18 years at the time of initial data query - Diagnosis of Congenital Heart Disease with at least one inpatient, outpatient, or emergency room visit within 8 years prior to the time of the initial data query - Retrospective data available for 1-3 years prior to initial data query For Aim 3, participants will be deemed eligible to participate if they meet the following criteria: - Age greater than or equal to18 years at the time of initial data query - Diagnosis of Congenital Heart Disease with at least one inpatient, outpatient, or emergency room visit within 6 years prior to the time of the initial data query - Contact Information (email, address, and/or phone number) - Email access through internet connected device or smartphone (Android or iOS) - Can read/write English well enough to fill out on-line surveys Exclusion Criteria: - Age < 18 years - No Congenital Heart Disease (as classified by ICD9/10 codes)

Study Design


Related Conditions & MeSH terms


Intervention

Other:
Impact of gaps in care/loss to healthcare follow-up
There will not be a discrete intervention as part of this study but study investigators will be examining a set of primary and secondary outcomes in patients who have followed recommended cardiac care vs. those who have not.

Locations

Country Name City State
United States Children's Hospital Colorado Aurora Colorado
United States Cincinnati Children's Hospital Cincinnati Ohio
United States Nationwide Children's Columbus Ohio
United States University of Miami Coral Gables Florida
United States Duke Coordinating Center Durham North Carolina
United States University of Florida Gainesville Florida
United States Nicklaus Children's Hospital Miami Florida
United States Louisiana Public Health Institute New Orleans Louisiana
United States Ochsner New Orleans Louisiana
United States Columbia Presbyterian New York New York
United States Mount Sinai New York New York
United States NYU Langone Health New York New York
United States Weill Cornell Medicine New York New York
United States Children's Hospital of Philadelphia Philadelphia Pennsylvania
United States University of California San Francisco California
United States Children's National Hospital Washington District of Columbia

Sponsors (3)

Lead Sponsor Collaborator
Children's National Research Institute Louisiana Public Health Institute, Patient-Centered Outcomes Research Institute

Country where clinical trial is conducted

United States, 

References & Publications (8)

Agarwal A, Thombley R, Broberg CS, Harris IS, Foster E, Mahadevan VS, John A, Vittinghoff E, Marcus GM, Dudley RA. Age- and Lesion-Related Comorbidity Burden Among US Adults With Congenital Heart Disease: A Population-Based Study. J Am Heart Assoc. 2019 Oct 15;8(20):e013450. doi: 10.1161/JAHA.119.013450. Epub 2019 Oct 2. — View Citation

Broberg C, McLarry J, Mitchell J, Winter C, Doberne J, Woods P, Burchill L, Weiss J. Accuracy of administrative data for detection and categorization of adult congenital heart disease patients from an electronic medical record. Pediatr Cardiol. 2015 Apr;36(4):719-25. doi: 10.1007/s00246-014-1068-2. Epub 2014 Nov 27. — View Citation

Ferencz C, Rubin JD, McCarter RJ, Brenner JI, Neill CA, Perry LW, Hepner SI, Downing JW. Congenital heart disease: prevalence at livebirth. The Baltimore-Washington Infant Study. Am J Epidemiol. 1985 Jan;121(1):31-6. — View Citation

Jackson JL, Morack J, Harris M, DeSalvo J, Daniels CJ, Chisolm DJ. Racial disparities in clinic follow-up early in life among survivors of congenital heart disease. Congenit Heart Dis. 2019 Mar;14(2):305-310. doi: 10.1111/chd.12732. Epub 2018 Dec 18. — View Citation

Khairy P, Ionescu-Ittu R, Mackie AS, Abrahamowicz M, Pilote L, Marelli AJ. Changing mortality in congenital heart disease. J Am Coll Cardiol. 2010 Sep 28;56(14):1149-57. doi: 10.1016/j.jacc.2010.03.085. — View Citation

Oster ME, Riehle-Colarusso T, Simeone RM, Gurvitz M, Kaltman JR, McConnell M, Rosenthal GL, Honein MA. Public health science agenda for congenital heart defects: report from a Centers for Disease Control and Prevention experts meeting. J Am Heart Assoc. 2013 Aug 28;2(5):e000256. doi: 10.1161/JAHA.113.000256. — View Citation

Reid GJ, Irvine MJ, McCrindle BW, Sananes R, Ritvo PG, Siu SC, Webb GD. Prevalence and correlates of successful transfer from pediatric to adult health care among a cohort of young adults with complex congenital heart defects. Pediatrics. 2004 Mar;113(3 Pt 1):e197-205. — View Citation

Webb G, Landzberg MJ, Daniels CJ. Specialized adult congenital heart care saves lives. Circulation. 2014 May 6;129(18):1795-6. doi: 10.1161/CIRCULATIONAHA.114.009049. Epub 2014 Mar 3. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Other Measure of Quality of Life (Patient Reported Outcome) This will be measured by short form 20 and satisfaction with life scale where a high score reflects a higher quality of life and a low score reflects lower quality of life. The satisfaction with life scale is measured on a scale of 5-35 with 35 being extremely satisfied and 5 being extremely dissatisfied. The SF20 scores are transformed linearly to 0-100 scales, with 0 and 100 assigned to the lowest and highest possible scores, respectively. Month 10-23
Other Assessing Mental Health (Patient Reported Outcome) This will be addressed by the hospital anxiety depression scale in which a score between the ranges of 0-7 indicates normal mental health, 8-10 indicates borderline abnormal, and 11-21 indicates abnormal mental health. Month 10-23
Other Evaluating Physical health and functioning (Patient Reported Outcome) This will be measured by the international physical activity scale. IPAQ is scored by classifying the level of physical activity as vigorous, moderate, low, and sedentary. Times of activities are recorded as minutes in each of the category listed above. Month 10-23
Other Rate of Health Services Use (Patient Reported Outcome) Study Investigators will record the number of hospitalization,, emergency room visits, and clinic outpatient visits as metrics of health services use. Month 10-23
Primary Rates of healthcare use The primary outcome will be the number of visits each year to the following clinical settings, which are thought to reflect access to primary care, cardiology care, or specialist care. Month 9-31
Primary Rates of comorbidities The study investigators will determine the prevalence rates of comorbidities which will be assessed using the Elixhauser comorbidity index developed by AHRQ. Investigators will compare these outcomes among the various CHD subtypes and among patients who do or don't have gaps in care. Investigators will adjust for a number of potential confounders and covariates including: patient factors, regional factors and hospital factors. Month 9-31
Primary Number of Participants with gaps in care Gaps in care will be defined as no cardiology subspecialty visit in >3-5 years for non-complex CHD subtypes and >1-2 years for complex CHD subtypes. Months 9-31
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