An Affective-Appraisal Approach for Parental Shared Decision Making in Children and Young People's Mental Health Settings: A Qualitative Study

A systematic review of shared decision making interventions in child and youth mental health: synthesising the use of theory, intervention functions, and behaviour change techniques

Reviews around interventions to improve shared decision making (SDM) for child and youth mental health have produced inconclusive findings on what approaches increase participation. Importantly, the previous reviews did not explore the use of theory, as well as mechanisms of change (intervention functions) and active units of change (behaviour change techniques). The aim of this review was to explore these factors and ascertain how, if at all, these contribute to SDM. Five databases were searched up until April 2020. Studies met inclusion criteria if they were: (a) an intervention to facilitate SDM; (b) aimed at children, adolescence, or young people aged up to 25, with a mental health difficulty, or their parents/guardians; and (c) included a control group. Data were extracted on patient characteristics, study design, intervention, theoretical background, intervention functions, behaviour change techniques, and SDM. Quality assessment of the studies was undertaken using the Effective Public Health Practice Project (EPHPP) quality assessment tool. Eight different interventions met inclusion criteria. The role of theory to increase SDM remains unclear. Specific intervention functions, such as 'education' on SDM and treatment options and 'environmental restructuring' using decision aids, are being used in SDM interventions, as well as 'training' for clinicians. Similarly, behaviour change techniques linked to these, such as 'adding objects to the environment', 'discussing pros/cons', and clinicians engaging in 'behavioural practice/rehearsal'. However, as most studies scored low on the quality assessment criteria, as well as a small number of studies included and a low number of behaviour change techniques utilised, links between behaviour change techniques, intervention functions and increased participation remain tentative. Intervention developers and clinicians may wish to consider specific intervention functions and behaviour change techniques to facilitate SDM.

Parents' priorities for decision-making of pediatric epilepsy treatments and perceived needs for decision support in multi-ethnic Asian clinical setting: A qualitative analysis

OBJECTIVE

To identify parents' priorities when making a decision on genetic testing and antiseizure drug (ASD) options for pediatric epilepsy and their support needs for informed decision-making in multi-ethnic Asian clinical settings.

METHODS

Qualitative in-depth interviews, using a semi-structured interview guide, were conducted with purposively selected parents of pediatric patients with newly diagnosed epilepsy or known diagnosis of epilepsy (n = 26). Interviews were audio recorded and transcribed verbatim. Thematic analysis was undertaken to generate themes.

RESULTS

Parents' narratives showed difficulty assimilating information, while knowledge deficit and emotional vulnerability led parents' desire to defer a decision for testing and ASDs to mitigate decisional burden. Priorities for decisions were primarily based on intuitive ideas of the treatment's risks and benefits, yet very few could elaborate on tradeoffs between risks and efficacy. Priorities outside the purview of the healthcare team, such as children's emotional wellbeing and family burden of ASD administration, were also considered important. Authority-of-medical-professional heuristic facilitated the ASD decision for parents who preferred shared rather than sole responsibility for a decision. Importantly, parents' support needs for informed decision-making were very much related to the availability of support mechanisms in post-treatment decisions owing to perceived uncertainty of the chosen ASD.

CONCLUSIONS

Findings suggest that multiple priorities influenced ASD decision process. To address support needs of parents for informed decision-making, more consideration should be given to post-treatment decision support through the provision of educational opportunities, building peer support networks, and developing a novel communication channel between healthcare providers and parents.

Associations between child mental health, carer worry and help-seeking

Carers may not always express child mental health concerns to health professionals. Therefore, identifying factors delaying help-seeking is important. The aim of this study was to examine the relationship between carer affect and help-seeking. In a secondary analysis of data collected from school-aged children (N = 1,857, mean age = 9.85 years, 51% female), we used logistic regression to examine the associations between carer worry, help-seeking and child mental health. Regarding worry, higher levels of emotional problems (OR = 1.42, 95% CI = 1.33-1.52), conduct problems (OR = 1.24, 95% CI = 1.12, 1.36), peer problems (OR = 1.17, 95% CI = 1.05-1.27) or functional impairment (OR = 1.37, 95% CI = 1.2-.56) were associated with higher levels of carer worry. Regarding help-seeking, higher levels of functional impairment were associated with higher levels of help-seeking (OR = 1.51, 95% CI = 1.09-2.11). After controlling for mental health problems, carers who reported being worried about their child's mental health were less likely than other carers to seek help (OR = 0.13, 95% CI = 0.05-0.35). Knowledge of these factors may inform early interventions. Alongside implications for future research and practice, limitations of the study are discussed.

Shared-decision-making Behavior in Hospitalized Patients: Investigating the Impact of Patient's Trust in Physicians, Emotional Support, Informational Support, and Tendency to Excuse Using a Structural Equation Modeling Approach

Patient participation in care decisions is facilitated by shared-decision-making (SDM). This study, therefore, aims to explore the impact of patient's trust in physicians, emotional support, informational support, and tendency to excuse on SDM. A cross-sectional study was conducted at the medical-surgical wards of 6 similar-sized public hospitals in Tabriz, northwest Iran, using a self-administered questionnaire, with 321 cases collected from October to December 2019. The structural equation modeling (SEM) analysis was used to test the hypothetical model. Using the SEM approach, the findings fully confirmed the study hypothesis, and patients' trust in physician (Beta = -0.44), emotional support (Beta = 0.29), tendency to excuse (Beta = 0.18), and informational support (Beta = 0.58) predicted the inpatient's SDM behavior (R 2 = 0.65, goodness-of-fit index = 0.902). To improve patient outcomes, physicians might advise incorporating techniques such as improving patient trust, informational and emotional supports to improve SDM. Improving the psychosocial skills of physicians also seems to be essential to help patients express their concerns.

A Caregiver Digital Intervention to Support Shared Decision Making in Child and Adolescent Mental Health Services: Development Process and Stakeholder Involvement Analysis

Background

Parents and caregivers are generally recognized by literature and the law as key to child and adolescent mental health decisions. Digital interventions are increasingly being used to support care and treatment in child and adolescent mental health services (CAMHS). However, evidence of the design and development process is generally not made available.

Objective

In light of calls for more transparency, this paper aims to describe the development of an evidence-based, theoretically informed digital decision support intervention for parents and caregivers of young people accessing CAMHS.

Methods

The intervention was developed in line with the UK Medical Research Council framework for developing complex interventions. The process incorporated the steps for developing patient decision aids, as follows: assessing need, assessing feasibility; defining objectives; identifying the framework of decision support; and selecting the methods, designs, and dissemination approach. We synthesized theory, research, international guidelines, and input from relevant stakeholders using an iterative design approach.

Results

The development steps resulted in Power Up for Parents, a decision support intervention, with five key features (ie, decisions, goals, journey, support, and resources). The intervention aims to encourage discussion, allow parents to ask questions during sessions or seek further information between sessions, and allow service providers to tailor the shared decision-making process to accommodate the needs of the parent and child.

Conclusions

We confirmed that it is possible to use input from end users—integrated with theory and evidence—to create digital interventions to be used in CAMHS. Key lessons with implications for practice, policy, and implementation science, along with preliminary findings, are presented.

International Registered Report Identifier (IRRID)

RR2-10.2196/14571

Parent/Carer-Reported Experience of Shared Decision Making at Child and Adolescent Mental Health Services: A Multilevel Modelling Approach

Background and Objective: Shared decision making (SDM) has been associated with positive outcomes at child and adolescent mental health services (CAMHS). However, implementing SDM is sometimes challenging. Understanding the factors associated with parent/carer experience of SDM could provide empirical evidence to support targeted efforts to promote SDM. This study aimed to explore the frequency of parent/carer-reported experience of SDM and examine possible associations between SDM and clinician's perceptions of the (a) children's and young people's psychosocial difficulties, (b) additional complex problems, and (c) impact of the psychosocial difficulties. Methods: Secondary analysis was conducted on administrative data collected from CAMHS between 2011 and 2015. The sample was composed of 3,175 cases across 58 sites in England. Frequencies were recorded and associations were explored between clinician-reported measures and parent/carer-reported experiences of SDM using a two-level mixed-effect logistic regression analytic approach. Results: Almost 70% of parents/carers reported experiencing higher levels of SDM. Individual-level variables in model one revealed statistically significant (p <0.05) associations suggesting Asian parents/carers (OR = 1.95, 95% CI [1.4, 2.73]) and parents/carers having children with learning difficulties (OR = 1.45, 95% CI [1.06, 1.97]) were more likely to report higher levels of SDM. However, having two parents/carers involved in the child's care and treatment decisions (OR = 0.3, 95% CI [0.21, 0.44]) and being a parent/carer of a child or young person experiencing conduct problems (OR = 0.78, 95% CI [0.63, 0.98]) were associated with lower levels of SDM. When adjusting for service level data (model two) the presence of conduct problems was the only variable found to be significant and predicted lower levels of SDM (OR = 0.29, 95% CI [0.52, 0.58]). Conclusion: Multilevel modelling of CAMHS administrative data may help identify potential influencing factors to SDM. The current findings may inform useful models to better predict and support SDM.