Congenital Heart Disease Clinical Trial
— CHI-RONOfficial title:
Utilizing PCORnet to Support Transition From Pediatric to Adult Centered Care and Reduce Gaps in Recommended Care in Patients With Congenital Heart Disease
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.
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) |
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 |
Lead Sponsor | Collaborator |
---|---|
Children's National Research Institute | Louisiana Public Health Institute, Patient-Centered Outcomes Research Institute |
United States,
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
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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