Study protocol for a randomised clinical trial of a decision aid and values clarification method for parents of a fetus or neonate diagnosed with a life-threatening congenital heart defect

Rebecca K Delaney, Nelangi M Pinto, Elissa M Ozanne, Louisa A Stark, Mandy L Pershing, Alistair Thorpe, Holly O Witteman, Praveen Thokala, Linda M Lambert, Lisa M Hansen, Tom H Greene, Angela Fagerlin, Rebecca K Delaney, Nelangi M Pinto, Elissa M Ozanne, Louisa A Stark, Mandy L Pershing, Alistair Thorpe, Holly O Witteman, Praveen Thokala, Linda M Lambert, Lisa M Hansen, Tom H Greene, Angela Fagerlin

Abstract

Introduction: Parents who receive the diagnosis of a life-threatening, complex heart defect in their fetus or neonate face a difficult choice between pursuing termination (for fetal diagnoses), palliative care or complex surgical interventions. Shared decision making (SDM) is recommended in clinical contexts where there is clinical equipoise. SDM can be facilitated by decision aids. The International Patient Decision Aids Standards collaboration recommends the inclusion of values clarification methods (VCMs), yet little evidence exists concerning the incremental impact of VCMs on patient or surrogate decision making. This protocol describes a randomised clinical trial to evaluate the effect of a decision aid (with and without a VCM) on parental mental health and decision making within a clinical encounter.

Methods and analysis: Parents who have a fetus or neonate diagnosed with one of six complex congenital heart defects at a single tertiary centre will be recruited. Data collection for the prospective observational control group was conducted September 2018 to December 2020 (N=35) and data collection for two intervention groups is ongoing (began October 2020). At least 100 participants will be randomised 1:1 to two intervention groups (decision aid only vs decision aid with VCM). For the intervention groups, data will be collected at four time points: (1) at diagnosis, (2) postreceipt of decision aid, (3) postdecision and (4) 3 months postdecision. Data collection for the control group was the same, except they did not receive a survey at time 2. Linear mixed effects models will assess differences between study arms in distress (primary outcome), grief and decision quality (secondary outcomes) at 3-month post-treatment decision.

Ethics and dissemination: This study was approved by the University of Utah Institutional Review Board. Study findings have and will continue to be presented at national conferences and within scientific research journals.

Trial registration number: NCT04437069 (Pre-results).

Keywords: congenital heart disease; paediatric cardiology.

Conflict of interest statement

Competing interests: None declared.

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
Study flow. REDCap, Research Electronic Data Capture.

References

    1. Oster ME, Lee KA, Honein MA, et al. . Temporal trends in survival among infants with critical congenital heart defects. Pediatrics 2013;131:e1502–8. 10.1542/peds.2012-3435
    1. Hoffman JIE, Kaplan S. The incidence of congenital heart disease. J Am Coll Cardiol 2002;39:1890–900. 10.1016/S0735-1097(02)01886-7
    1. Reller MD, Strickland MJ, Riehle-Colarusso T, et al. . Prevalence of congenital heart defects in metropolitan Atlanta, 1998-2005. J Pediatr 2008;153:807–13. 10.1016/j.jpeds.2008.05.059
    1. Peterson C, Dawson A, Grosse SD, et al. . Hospitalizations, costs, and mortality among infants with critical congenital heart disease: how important is timely detection? Birth Defects Res A Clin Mol Teratol 2013;97:664–72. 10.1002/bdra.23165
    1. Barron DJ, Kilby MD, Davies B, et al. . Hypoplastic left heart syndrome. Lancet 2009;374:551–64. 10.1016/S0140-6736(09)60563-8
    1. Bertaud S, Lloyd DFA, Laddie J, et al. . The importance of early involvement of paediatric palliative care for patients with severe congenital heart disease. Arch Dis Child 2016;101:984–7. 10.1136/archdischild-2015-309789
    1. Chenni N, Lacroze V, Pouet C, et al. . Fetal heart disease and interruption of pregnancy: factors influencing the parental decision-making process. Prenat Diagn 2012;32:168–72. 10.1002/pd.2923
    1. Zeigler VL. Ethical principles and parental choice: treatment options for neonates with hypoplastic left heart syndrome. Pediatr Nurs 2003;29:65–9.
    1. Davies V, Gledhill J, McFadyen A, et al. . Psychological outcome in women undergoing termination of pregnancy for ultrasound-detected fetal anomaly in the first and second trimesters: a pilot study. Ultrasound Obstet Gynecol 2005;25:389–92. 10.1002/uog.1854
    1. Korenromp MJ, Christiaens GCML, van den Bout J, et al. . Long-Term psychological consequences of pregnancy termination for fetal abnormality: a cross-sectional study. Prenat Diagn 2005;25:253–60. 10.1002/pd.1127
    1. López R, Frangini P, Ramírez M, et al. . Well-Being and agency in parents of children with congenital heart disease: a survey in Chile. World J Pediatr Congenit Heart Surg 2016;7:139–45. 10.1177/2150135115623284
    1. Lawoko S, Soares JJF. Distress and hopelessness among parents of children with congenital heart disease, parents of children with other diseases, and parents of healthy children. J Psychosom Res 2002;52:193–208. 10.1016/S0022-3999(02)00301-X
    1. Uzark K, Jones K. Parenting stress and children with heart disease. J Pediatr Health Care 2003;17:163–8. 10.1016/S0891-5245(02)88322-5
    1. Bevilacqua F, Palatta S, Mirante N, et al. . Birth of a child with congenital heart disease: emotional reactions of mothers and fathers according to time of diagnosis. J Matern Fetal Neonatal Med 2013;26:1249–53. 10.3109/14767058.2013.776536
    1. Kaasen A, Helbig A, Malt UF, et al. . Acute maternal social dysfunction, health perception and psychological distress after ultrasonographic detection of a fetal structural anomaly. BJOG 2010;117:1127–38. 10.1111/j.1471-0528.2010.02622.x
    1. Vrijmoet-Wiersma CMJ, Ottenkamp J, van Roozendaal M, et al. . A multicentric study of disease-related stress, and perceived vulnerability, in parents of children with congenital cardiac disease. Cardiol Young 2009;19:608–14. 10.1017/S1047951109991831
    1. Kon AA. Healthcare providers must offer palliative treatment to parents of neonates with hypoplastic left heart syndrome. Arch Pediatr Adolesc Med 2008;162:844–8. 10.1001/archpediatrics.2008.3
    1. Muenke M, Kruszka P, Sable C. Congenital heart disease: molecular genetics, principles of diagnosis and treatment. Karger Medical and Scientific Publishers, 2015.
    1. Boss R, Shapiro M. chap Ethical considerations in congenital heart disease. In: Congenital heart disease. Karger Publishers, 2015: 298–305.
    1. Kon AA, Ackerson L, Lo B. How pediatricians counsel parents when no "best-choice" management exists: lessons to be learned from hypoplastic left heart syndrome. Arch Pediatr Adolesc Med 2004;158:436–41. 10.1001/archpedi.158.5.436
    1. Byrne PJ, Murphy A. Informed consent and hypoplastic left heart syndrome. Acta Paediatr 2005;94:1171–5. 10.1111/j.1651-2227.2005.tb02069.x
    1. Rocque R, Chipenda Dansokho S, Grad R, et al. . What matters to patients and families: a content and process framework for Clarifying preferences, concerns, and values. Med Decis Making 2020;40:722–34. 10.1177/0272989X20940660
    1. Stacey D, Légaré F, Lewis K, et al. . Decision AIDS for people facing health treatment or screening decisions. Cochrane Database Syst Rev 2017;4:CD001431. 10.1002/14651858.CD001431.pub5
    1. Fagerlin A, Pignone M, Abhyankar P, et al. . Clarifying values: an updated review. BMC Med Inform Decis Mak 2013;13 Suppl 2:S8. 10.1186/1472-6947-13-S2-S8
    1. Witteman HO, Scherer LD, Gavaruzzi T, et al. . Design features of explicit values clarification methods: a systematic review. Med Decis Making 2016;36:453–71. 10.1177/0272989X15626397
    1. Witteman HO, Ndjaboue R, Vaisson G. Clarifying values: an updated and expanded systematic review and meta-analysis. Cold Spring Harbor Laboratory, 2021.
    1. Pinto NM, Patel A, Delaney RK, et al. . Provider insights on shared decision-making with families affected by CHD. Cardiol Young 2021;148:1–8. 10.1017/S1047951121004406
    1. Delaney RK, Pinto NM, Ozanne EM, et al. . Parents' decision-making for their foetus or neonate with a severe congenital heart defect. Cardiol Young 2021;29:1–8. 10.1017/S1047951121003218
    1. Derogatis L. Brief symptom inventory. Clinical psychometric research, 1975.
    1. Toedter LJ, Lasker JN, Alhadeff JM. The perinatal grief scale: development and initial validation. Am J Orthopsychiatry 1988;58:435–49. 10.1111/j.1939-0025.1988.tb01604.x
    1. Sepucha K, Ozanne E, Silvia K, et al. . An approach to measuring the quality of breast cancer decisions. Patient Educ Couns 2007;65:261–9. 10.1016/j.pec.2006.08.007
    1. Pinto NM, Weng C, Sheng X, et al. . Modifiers of stress related to timing of diagnosis in parents of children with complex congenital heart disease. J Matern Fetal Neonatal Med 2016;29:3340–6. 10.3109/14767058.2015.1125465
    1. Cohen J. A power primer. Psychol Bull 1992;112:155–9. 10.1037/0033-2909.112.1.155
    1. Zhang J, Quan H, Ng J, et al. . Some statistical methods for multiple endpoints in clinical trials. Control Clin Trials 1997;18:204–21. 10.1016/S0197-2456(96)00129-8
    1. Bender R, Lange S. Adjusting for multiple testing--when and how? J Clin Epidemiol 2001;54:343–9. 10.1016/S0895-4356(00)00314-0
    1. Verbeke G, Molenberghs G. Linear mixed models for longitudinal data. Springer Science & Business Media, 2009.
    1. Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol 2004;159:702–6. 10.1093/aje/kwh090
    1. Little RJA, Rubin DB. The analysis of social science data with missing values. Sociol Methods Res 1989;18:292–326. 10.1177/0049124189018002004
    1. Schafer JL. Multiple imputation: a primer. Stat Methods Med Res 1999;8:3–15. 10.1177/096228029900800102
    1. Charles C, Gafni A, Whelan T. Shared decision-making in the medical encounter: what does it mean? (or it takes at least two to tango). Soc Sci Med 1997;44:681–92. 10.1016/S0277-9536(96)00221-3
    1. Ware J, Kosinski M, Keller SD. A 12-Item short-form health survey: construction of scales and preliminary tests of reliability and validity. Med Care 1996;34:220–33. 10.1097/00005650-199603000-00003
    1. Mazer P, Gischler SJ, Koot HM, et al. . Impact of a child with congenital anomalies on parents (ICCAP) questionnaire; a psychometric analysis. Health Qual Life Outcomes 2008;6:102. 10.1186/1477-7525-6-102
    1. Degner LF, Sloan JA. Decision making during serious illness: what role do patients really want to play? J Clin Epidemiol 1992;45:941–50. 10.1016/0895-4356(92)90110-9
    1. Bennett C, Graham ID, Kristjansson E, et al. . Validation of a preparation for decision making scale. Patient Educ Couns 2010;78:130–3. 10.1016/j.pec.2009.05.012
    1. O'Connor A. Decision self-efficacy scale, 1995.
    1. O'Connor AM. Validation of a decisional conflict scale. Med Decis Making 1995;15:25–30. 10.1177/0272989X9501500105
    1. Brehaut JC, O'Connor AM, Wood TJ, et al. . Validation of a decision regret scale. Med Decis Making 2003;23:281–92. 10.1177/0272989X03256005
    1. Edwards A, Elwyn G, Hood K, et al. . The development of COMRADE--a patient-based outcome measure to evaluate the effectiveness of risk communication and treatment decision making in consultations. Patient Educ Couns 2003;50:311–22. 10.1016/S0738-3991(03)00055-7
    1. Bekker HL, Hewison J, Thornton JG. Applying decision analysis to facilitate informed decision making about prenatal diagnosis for Down syndrome: a randomised controlled trial. Prenat Diagn 2004;24:265–75. 10.1002/pd.851
    1. Chew LD, Bradley KA, Boyko EJ. Brief questions to identify patients with inadequate health literacy. Fam Med 2004;36:588–94.
    1. Fagerlin A, Zikmund-Fisher BJ, Ubel PA, et al. . Measuring numeracy without a math test: development of the subjective Numeracy scale. Med Decis Making 2007;27:672–80. 10.1177/0272989X07304449
    1. Koenig HG, Büssing A. The Duke university religion index (DUREL): a Five-Item measure for use in Epidemological studies. Religions 2010;1:78–85. 10.3390/rel1010078

Source: PubMed

3
S'abonner