Risk factors for loss to follow-up among children and young adults with congenital heart disease

Cardiology in the Young

Volumn 22, Issue 3, 2012, Pages 307-315

  Mackie, Andrew S ^a   Rempel, Gwen R ^b   Rankin, Kathryn N ^a   Nicholas, David ^c   Magill Evans, Joyce ^b  

^a UNIVERSITY OF ALBERTA   (Canada)

^b UNIVERSITY OF ALBERTA   (Canada)

^c UNIVERSITY OF CALGARY   (Canada)

Author keywords

adult; Cardiac defects; congenital; continuity of care; mixed method; paediatric

Indexed keywords

ADOLESCENT; ADULT; AORTIC ARCH INTERRUPTION; AORTIC COARCTATION; AORTIC VALVE REPAIR; AORTIC VALVE STENOSIS; ARTERIAL SWITCH OPERATION; ARTERY GRAFT; ATRIOVENTRICULAR SEPTAL DEFECT; CARDIOLOGIST; CASE CONTROL STUDY; CHILD; CONGENITAL HEART DISEASE; CONSULTATION; CONTROLLED STUDY; END TO END ANASTOMOSIS; FALLOT TETRALOGY; FAMILY INCOME; FEMALE; FOLLOW UP; FONTAN PROCEDURE; GENERAL PRACTITIONER; GREAT VESSELS TRANSPOSITION; HEART ATRIUM SEPTUM DEFECT; HEART CATHETERIZATION; HEART RIGHT VENTRICLE DOUBLE OUTLET; HEART VENTRICLE SEPTUM DEFECT; HUMAN; MAJOR CLINICAL STUDY; MALE; MEDICAL DOCUMENTATION; MEDICAL INFORMATION; MEDICAL RECORD REVIEW; PREDICTION; PROTECTION; PULMONARY VALVE ATRESIA; REVIEW; RISK FACTOR; ROSS PROCEDURE; TELEPHONE INTERVIEW; TRICUSPID VALVE ATRESIA; ARTICLE; CANADA; CARDIOLOGY; CONGENITAL HEART MALFORMATION; HOSPITAL MANAGEMENT; MULTIVARIATE ANALYSIS; PATIENT CARE; PATIENT COMPLIANCE; STATISTICAL MODEL; STATISTICS;

ADOLESCENT; ADULT; APPOINTMENTS AND SCHEDULES; CANADA; CARDIOLOGY; CASE-CONTROL STUDIES; CONTINUITY OF PATIENT CARE; FEMALE; HEART DEFECTS, CONGENITAL; HUMANS; LOGISTIC MODELS; MALE; MULTIVARIATE ANALYSIS; PATIENT COMPLIANCE; RISK FACTORS;

EID: 84866756764     PISSN: 10479511     EISSN: 14671107     Source Type: Journal    
DOI: 10.1017/S104795111100148X     Document Type: Review

References (29)

1. Warnes CA, Liberthson R, Danielson GK, et al. Task force 1: the changing profile of congenital heart disease in adult life. J Am Coll Cardiol 2001; 37: 1170-1175.
2. Warnes CA, Williams RG, Bashore TM, et al. ACC/AHA 2008 Guidelines for the Management of Adults with Congenital Heart Disease: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation 2008; 118: e714-e833.
3. Wernovsky G, Rome JJ, Tabbutt S, et al. Guidelines for the outpatient management of complex congenital heart disease. Congenit Heart Dis 2006; 1: 10-26.
4. Mackie AS, Ionescu-Ittu R, Therrien J, et al. Children and adults with congenital heart disease lost to follow-up: who and when? Circulation 2009; 120: 302-309.
5. Reid GJ, Irvine MJ, McCrindle BW, et al. 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; 113: e197-e205.
6. Warnes CA. The adult with congenital heart disease: born to be bad? J Am Coll Cardiol 2005; 46: 1-8.
7. Yeung E, Kay J, Roosevelt GE, et al. Lapse of care as a predictor for morbidity in adults with congenital heart disease. Int J Cardiol 2008; 125: 62-65.
8. Plano Clark VL, Creswell JW. The Mixed Methods Reader. Sage Publications, California, 2008.
9. Gail M, Williams R, Byar DP, et al. How many controls? J Chronic Dis 1976; 29: 723-731.
10. Richards L, Morse JM. Readme First for a User's Guide to Qualitative Methods. Sage, California, 2007.
11. Statistics Canada. Postal Code Conversion File (PCCF). Statistics Canada, Ottawa, ON, 2009.
12. Bow CJ, Waters NM, Faris PD, et al. Accuracy of city postal code coordinates as a proxy for location of residence. Int J Health Geogr 2004; 3: 5.
13. Southern DA, Faris PD, Knudtson ML, et al. Prognostic relevance of census-derived individual respondent incomes versus household incomes. Can J Public Health 2006; 97: 114-117.
14. Google Maps Canada. http://maps.google.ca. Accessed July, 2010.
15. Statistics Canada. Census of Canada, 2006: Profile for Canada, Provinces, Territories, Census Divisions, Census Subdivisions and Dissemination Areas. Census of Population, Statistics Canada catalogue no. 94-581-XCB2006002, Ottawa, ON, May 29, 2008.
16. Akaike H. New look at the statistical model identification. IEEE Trans Autom Control 1974; AC-19: 716-723.
17. Peduzzi P, Concato J, Kemper E, et al. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol 1996; 49: 1373-1379.
18. Morse J, Field P. Qualitative Research Methods for Health Professionals. Sage, Thousand Oaks, CA, 1995.
19. Hsieh HF, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res 2005; 15: 1277-1288.
20. Chariatte V, Michaud P, Berchtold A, et al. Missed appointments in an adolescent outpatient clinic: descriptive analyses of consultations over eight years. Swiss Med Wkly 2007; 137: 677-681.
21. Chariatte V, Berchtold A, Akre C, et al. Missed appointments in an outpatient clinic for adolescents, an approach to predict the risk of missing. J Adolesc Health 2008; 43: 38-45.
22. Irwin CE Jr, Millstein SG, Ellen JM. Appointment-keeping behavior in adolescents: factors associated with follow-up appointment-keeping. Pediatrics 1993; 92: 20-23.
23. O'Brien G, Lazebnik R. Telephone call reminders and attendance in an adolescent clinic. Pediatrics 1998; 101: e6-e12.
24. Sawyer SM, Zalan A, Bond LM. Telephone reminders improve adolescent clinic attendance: a randomized controlled trial. J Paediatr Child Health 2002; 38: 79-83.
25. Maeda N, Horibe K, Kato K, et al. Survey of childhood cancer survivors who stopped follow-up physician visits. Pediatr Int 2010; 52: 806-812.
26. Crosby LE, Modi AC, Lemanek KL, et al. Perceived barriers to clinic appointments for adolescents with sickle cell disease. J Pediatr Hematol Oncol 2009; 31: 571-576.
27. Gordon M, Antshel KM, Lewandowski L, et al. Predictors of missed appointments over the course of child mental health treatment. Psychiatr Serv 2010; 61: 657-659.
28. Maddison AR, Asada Y, Urquhart R. Inequity in access to cancer care: a review of the Canadian literature. Cancer Causes Control 2011; 22: 1-8.
29. Heslop CL, Miller GE, Hill JS. Neighbourhood socioeconomics status predicts non-cardiovascular mortality in cardiac patients with access to universal health care. PLoS ONE 2009; 4: e4120-e4127.