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Decisional conflict in parents of children with congenital heart defect: Towards development of a model.
- Source :
- International Journal of Nursing Practice (John Wiley & Sons, Inc.); Feb2024, Vol. 30 Issue 1, p1-11, 11p
- Publication Year :
- 2024
-
Abstract
- Aim: This study aimed to develop a model to help parents cope with decisional conflict. Background: Parents of children with congenital heart defect experience decisional conflict when they are uncertain about treatment decisions for their child, which may lead to delay in seeking care or distress over the decision made. Design: Correlational design with model building and data triangulation was used. Methods: Data were collected through surveys and interviews with a consecutive sample of 221 parent respondents from June to December 2018. Structural equation modelling and qualitative data analysis were used. Results: Lower decisional conflict was seen in parents with higher income, more nurse support and physician risk communication. Time delay for surgery was correlated with the child's age, social service coverage, and social support. Decisional conflict mediated the influence of income, nurse support and physician risk communication on satisfaction with decision. Based on model fit parameters, the emerging model is a good and parsimonious model of decisional conflict. The overall theme, 'Deciding for Surgery: What Matters Most', described the processes parents went through in making treatment decisions. Conclusion: Nurses may help parents feel more certain, less conflicted, and more satisfied with their decision by addressing factors including knowledge gaps, personal values, available support, and resource access. Summary statement: What is already known about this topic? Decisional conflict occurs when parents are uncertain of the best action for their child because treatment options entail risks for undesirable outcomes, value compromise, unclear prognosis, or anticipated regret over the decision.Professional support, information, and communication are vital to parents' decision‐making process.Child, parent, and support factors may influence parent treatment decisions in varied paediatric conditions. What this paper adds? Child's age at the time of decision‐making had an effect on the delay in surgery. However, assisting parents to weigh their options and focus on personal values allowed them to make their treatment decision.Low income, costly health services, and bureaucratic processes impeded the timely availment of surgery. Healthcare reforms that provide a system of government funding, streamlined health structure, and social insurance may be looked into.Family support weighed in on the parents' decision to delay surgery for fear of blame or guilt. Providing relevant information enabled parents to make a choice and stand by their decision regardless of the outcome. The implications of this paper: Modelling provides a framework to identify which factors are more important and how they interact to affect decision‐making. It may be used as an approach to find solutions to clinical problems for groups with different diagnoses.Though nursing support, information, and communication are essential, a more holistic family nursing care approach may be considered to assist parents to make appropriate treatment decisions for their child.Familiarity with the healthcare system may equip nurses to aid parents in processing available healthcare funding and dealing with financial uncertainty affecting decisions for their child's treatment. [ABSTRACT FROM AUTHOR]
- Subjects :
- RESEARCH
STRUCTURAL equation modeling
CARDIAC surgery
STATISTICAL power analysis
NURSING models
SOCIAL support
PARENTS of children with disabilities
AGE distribution
MULTIPLE regression analysis
CONGENITAL heart disease
SATISFACTION
INTERVIEWING
MEDICAL personnel
QUANTITATIVE research
CONFLICT (Psychology)
TREATMENT delay (Medicine)
QUALITATIVE research
INCOME
PATIENTS' families
URBAN hospitals
SEVERITY of illness index
SEX distribution
CRONBACH'S alpha
PSYCHOSOCIAL factors
PATIENT-family relations
DECISION making
HOSPITAL nursing staff
FACTOR analysis
SOCIAL classes
DESCRIPTIVE statistics
QUESTIONNAIRES
CHI-squared test
RESEARCH funding
PSYCHOLOGICAL adaptation
STATISTICAL correlation
SOCIAL services
PHYSICIANS
THEMATIC analysis
MARITAL status
DATA analysis software
INSURANCE
CONTROL (Psychology)
Subjects
Details
- Language :
- English
- ISSN :
- 13227114
- Volume :
- 30
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- International Journal of Nursing Practice (John Wiley & Sons, Inc.)
- Publication Type :
- Academic Journal
- Accession number :
- 175230928
- Full Text :
- https://doi.org/10.1111/ijn.13152