Promoting Shared Decision Making to strengthen outcome of young children with Autism Spectrum Disorders: the role of staff competence

Shared decision-making interventions for people with mental health conditions

BACKGROUND

One person in every four will suffer from a diagnosable mental health condition during their life. Such conditions can have a devastating impact on the lives of the individual and their family, as well as society.  International healthcare policy makers have increasingly advocated and enshrined partnership models of mental health care. Shared decision-making (SDM) is one such partnership approach. Shared decision-making is a form of service user-provider communication where both parties are acknowledged to bring expertise to the process and work in partnership to make a decision.  This review assesses whether SDM interventions improve a range of outcomes. This is the first update of this Cochrane Review, first published in 2010.

OBJECTIVES

To assess the effects of SDM interventions for people of all ages with mental health conditions, directed at people with mental health conditions, carers, or healthcare professionals, on a range of outcomes including: clinical outcomes, participation/involvement in decision-making process (observations on the process of SDM; user-reported, SDM-specific outcomes of encounters), recovery, satisfaction, knowledge, treatment/medication continuation, health service outcomes, and adverse outcomes.

SEARCH METHODS

We ran searches in January 2020 in CENTRAL, MEDLINE, Embase, and PsycINFO (2009 to January 2020). We also searched trial registers and the bibliographies of relevant papers, and contacted authors of included studies.  We updated the searches in February 2022. When we identified studies as potentially relevant, we labelled these as studies awaiting classification.

SELECTION CRITERIA

Randomised controlled trials (RCTs), including cluster-randomised controlled trials, of SDM interventions in people with mental health conditions (by Diagnostic and Statistical Manual of Mental Disorders (DSM) or International Classification of Diseases (ICD) criteria).

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane. Two review authors independently screened citations for inclusion, extracted data, and assessed risk of bias. We used GRADE to assess the certainty of the evidence.

MAIN RESULTS

This updated review included 13 new studies, for a total of 15 RCTs. Most participants were adults with severe mental illnesses such as schizophrenia, depression, and bipolar disorder, in higher-income countries. None of the studies included children or adolescents.  Primary outcomes We are uncertain whether SDM interventions improve clinical outcomes, such as psychiatric symptoms, depression, anxiety, and readmission, compared with control due to very low-certainty evidence. For readmission, we conducted subgroup analysis between studies that used usual care and those that used cognitive training in the control group. There were no subgroup differences. Regarding participation (by the person with the mental health condition) or level of involvement in the decision-making process, we are uncertain if SDM interventions improve observations on the process of SDM compared with no intervention due to very low-certainty evidence. On the other hand, SDM interventions may improve SDM-specific user-reported outcomes from encounters immediately after intervention compared with no intervention (standardised mean difference (SMD) 0.63, 95% confidence interval (CI) 0.26 to 1.01; 3 studies, 534 participants; low-certainty evidence). However, there was insufficient evidence for sustained participation or involvement in the decision-making processes. Secondary outcomes We are uncertain whether SDM interventions improve recovery compared with no intervention due to very low-certainty evidence. We are uncertain if SDM interventions improve users' overall satisfaction. However, one study (241 participants) showed that SDM interventions probably improve some aspects of users' satisfaction with received information compared with no intervention: information given was rated as helpful (risk ratio (RR) 1.33, 95% CI 1.08 to 1.65); participants expressed a strong desire to receive information this way for other treatment decisions (RR 1.35, 95% CI 1.08 to 1.68); and strongly recommended the information be shared with others in this way (RR 1.32, 95% CI 1.11 to 1.58). The evidence was of moderate certainty for these outcomes. However, this same study reported there may be little or no effect on amount or clarity of information, while another small study reported there may be little or no change in carer satisfaction with the SDM intervention. The effects of healthcare professional satisfaction were mixed: SDM interventions may have little or no effect on healthcare professional satisfaction when measured continuously, but probably improve healthcare professional satisfaction when assessed categorically. We are uncertain whether SDM interventions improve knowledge, treatment continuation assessed through clinic visits, medication continuation, carer participation, and the relationship between users and healthcare professionals because of very low-certainty evidence. Regarding length of consultation, SDM interventions probably have little or no effect compared with no intervention (SDM 0.09, 95% CI -0.24 to 0.41; 2 studies, 282 participants; moderate-certainty evidence). On the other hand, we are uncertain whether SDM interventions improve length of hospital stay due to very low-certainty evidence. There were no adverse effects on health outcomes and no other adverse events reported.

AUTHORS' CONCLUSIONS

This review update suggests that people exposed to SDM interventions may perceive greater levels of involvement immediately after an encounter compared with those in control groups. Moreover, SDM interventions probably have little or no effect on the length of consultations.  Overall we found that most evidence was of low or very low certainty, meaning there is a generally low level of certainty about the effects of SDM interventions based on the studies assembled thus far. There is a need for further research in this area.

Decision Making in Pediatric Plastic Surgery: Autonomy and Shared Approaches

BACKGROUND

Although shared decision-making is essential to patient-centered healthcare, its role in pediatric plastic surgery remains unclear. The objective of this study was to define the preferred level of involvement in surgical decision-making among children, caregivers, and surgeons.

METHODS

The authors surveyed pediatric plastic surgery patients (n = 100) and their caregivers regarding their preferences on child involvement during surgical decision-making. Fleiss' kappa was used to assess agreement between groups. Bivariate Chi-square tests and multinomial logistic regression were used to assess the relationship between decision-making preferences and select demographic factors.

RESULTS

Only 34% of children and their caregivers agreed upon their decision-making preferences (k = 0.04). The majority of children (40%) and caregivers (67%) favored shared decision-making between the patient, caregiver, and surgeon. Only 16% of children preferred physician-driven decisions, while 20% of children desired complete autonomy. Children's preferences were significantly associated with their age; the relative risk of children deferring to caregivers or surgeons over a shared approach was lower for adolescents and teens compared to children under 10 years old (relative risk = 0.20; 95% confidence interval: 0.054-0.751; P = 0.02). Caregiver's preferences did not change based on the child's age, but rather were related to the child's gender. Caregivers were more likely to choose the option that gave the child more autonomy when the child was male.

CONCLUSIONS

While most caregivers preferred a shared approach to decision-making, children desired greater autonomy, particularly with increasing age. Since there was limited agreement between caregivers and children, surgeons must be cognizant of differing preferences when discussing treatment plans to optimize both patient and parent satisfaction.

Systematic literature review and meta-analysis of the relationship between adherence, competence and outcome in psychotherapy for children and adolescents

The extent to which therapist adherence to guidelines and clinician skill or competence may play a role in the prediction of therapeutic outcomes remains inconclusive. This systematic literature review and meta-analysis considers whether adherence or competence predicts youth outcome in child and adolescent psychotherapy, and whether there are any identifiable factors which moderate the strength or direction of this relationship. A systematic literature search identified 35 studies in 52 papers. The studies contained 29 effect sizes for the relationship between adherence and outcome, while nine effect sizes were extracted for competence, and a further five effects measured a composite of adherence and competence constructs, referred to as fidelity in this report. The meta-analysis indicated a small but significant relationship between therapist adherence and outcome, although the small size of effect suggests that outcomes are likely to be more strongly associated with factors other than adherence. No significant relationship was identified between competence or composite fidelity and outcome. Although variance was observed in effect sizes, no significant moderation by client group, intervention type, or implementation measure informant was identified. Further study is needed to understand the specific circumstances under which adherence and outcome are related.

A Framework and Resources for Shared Decision Making: Opportunities for Improved Physical Therapy Outcomes

Shared decision making (SDM) is a collaborative approach between clinicians and patients, where the best available evidence is integrated with patients' values and preferences for managing their health problems. Shared decision making may enhance patient-centered care and increase patients' satisfaction, engagement, adherence, and ability to self-manage their conditions. Despite its potential benefits, SDM is underutilized by physical therapists, and frequent mismatches between patients' and therapists' rehabilitation goals have been reported. Physical therapists can use evidence-based strategies, tools, and techniques to address these problems. This paper presents a model for SDM and explains its association with improved patient outcomes and relevance to situations commonly encountered in physical therapy. It describes freely available resources, including health literacy universal precautions, teach-back, motivational interviewing, decision aids, and patient-reported outcome measures that can help physical therapists integrate SDM into their clinical practices. This paper also explains SDM facilitators and barriers, suggests a theoretical framework to address them, and highlights the need for SDM promotion within physical therapy practice, education, administration, and research.

Early Detection and Intervention of ASD: A European Overview

Over the last several years there has been an increasing focus on early detection of Autism Spectrum Disorder (ASD), not only from the scientific field but also from professional associations and public health systems all across Europe. Not surprisingly, in order to offer better services and quality of life for both children with ASD and their families, different screening procedures and tools have been developed for early assessment and intervention. However, current evidence is needed for healthcare providers and policy makers to be able to implement specific measures and increase autism awareness in European communities. The general aim of this review is to address the latest and most relevant issues related to early detection and treatments. The specific objectives are (1) analyse the impact, describing advantages and drawbacks, of screening procedures based on standardized tests, surveillance programmes, or other observational measures; and (2) provide a European framework of early intervention programmes and practices and what has been learnt from implementing them in public or private settings. This analysis is then discussed and best practices are suggested to help professionals, health systems and policy makers to improve their local procedures or to develop new proposals for early detection and intervention programmes.

Shared Decision-Making and Children With Disabilities: Pathways to Consensus

Shared decision-making (SDM) promotes family and clinician collaboration, with ultimate goals of improved health and satisfaction. This clinical report provides a basis for a systematic approach to the implementation of SDM by clinicians for children with disabilities. Often in the discussion of treatment plans, there are gaps between the child's/family's values, priorities, and understanding of perceived "best choices" and those of the clinician. When conducted well, SDM affords an appropriate balance incorporating voices of all stakeholders, ultimately supporting both the child/family and clinician. With increasing knowledge of and functional use of SDM skills, the clinician will become an effective partner in the decision-making process with families, providing family-centered care. The outcome of the process will support the beneficence of the physician, the authority of the family, and the autonomy and well-being of the child.

Shared decision making in Italy: An updated revision of the current situation

The aim of this paper is to update the previous review on the state of patient and public participation in healthcare in Italy. Policymakers consider patient involvement an important aspect in health care decisions and encourage patients to actively participate in the clinical interaction. Nevertheless, the term shared decision making (SDM) is still not clearly defined. Patient associations promote patient participation in health care decisions. Several experts attended the latest consensus conference about patient engagement to reach a consensus on the definition of SDM. Research regarding SDM in Italy continues to increase with 17 articles published between 2012 and 2017. Researchers have assessed the variables associated with patient involvement and explored the use of the SDM approach in different medical settings. Despite the dedicated SDM initiative, researchers in Italy recognize room for improvement. Work is needed to reach a common language regarding SDM and its mechanisms to implement this approach at the clinical level.

Can biological components predict short-term evolution in Autism Spectrum Disorders? A proof-of-concept study

Background

The clinical and pathogenetic heterogeneity of Autism Spectrum Disorders (ASD) limits our ability to predict its short- and long-term evolution. Aim of this naturalistic study was to observe the clinical evolution of very young children with ASD for 12 months after first diagnosis, in order to identify those children who might develop a more positive trajectory and understand how a wide range of biological, clinical and familial factors can influence prognosis.

Methods

Ninety-two children were characterized in terms of family history, prenatal and perinatal variables, and clinical conditions. The sample was divided into four subgroups based on the association of 22 biological, clinical and family history variables. Developmental Quotient (DQ), determined using the Psychoeducational Profile Revised (PEP-R), and symptoms severity, measured by means of the Autism Diagnostic Observation Schedule (ADOS), were evaluated at baseline (T0) and after one year (T1), while receiving treatment as usual. Changes in DQ and ADOS between baseline and follow-up and differences in the short-term evolution of the four subgroups were analyzed.

Results

At T1, 55.4 % of the children demonstrated some gains either of autistic symptomatology or of developmental skills. Mean ADOS score was 13.63 ± 3.67 at T0 and 10.85 ± 4.10 at T1 and mean DQ was 0.64 ± 0.14 at T0 and 0.66 ± 0.15 at T1. At follow-up, 33.7 % of the children showed an improvement in DQ and 37 % presented a less severe symptomatology, measured by means of ADOS. Overall, 15.2 % of the sample displayed major improvements both on developmental quotient and ADOS severity score; these children presented less EEG abnormalities and familial psychiatric disorders. The four subgroups, based on biological, clinical and familial variables, showed differing trends in terms of evolution.

Conclusions

Categorizing very young children with ASD in terms of biological, clinical and familial variables can be instrumental in predicting short-term evolution. This exploratory study highlights the importance of a precise characterization and thorough analysis of interactions among biological and clinical variables, in order to predict the developmental evolution in children with ASD.

Translating Research to Practice for Children With Autism Spectrum Disorder: Part I: Definition, Associated Behaviors, Prevalence, Diagnostic Process, and Interventions

INTRODUCTION

The number of children with autism spectrum disorder (ASD) is rising, along with the potential for challenging behaviors during health care encounters.

METHOD

We present an overview of the emerging science related to ASD diagnosis and interventions for children with ASD.

RESULTS

Emerging science on ASD reveals common associated challenging behaviors, increasing prevalence, emphasis on early diagnosis at 18 to 24 months of age, changes in the diagnostic process with criteria from the Diagnostic and Statistical Manual of Mental Disorders, 5th edition, and interventions with medication, education, and behavior management.

DISCUSSION

Family and health care provider preparation strategies facilitate care of children with ASD and their families. Early diagnosis at 18 to 24 months of age and evidence-based interventions contribute to best outcomes for children and families. Health care providers must be aware of the state of the science for diagnosis and best practices to provide family-centered care for this growing population.

Translating Research to Practice for Children With Autism Spectrum Disorder: Part 2: Behavior Management in Home and Health Care Settings

INTRODUCTION

Managing home and health care for children with autism spectrum disorder can be challenging because of the range of symptoms and behaviors exhibited.

METHOD

This article presents an overview of the emerging science related to the methods to foster family self-management of common concerns regarding activities of daily living and behaviors, as well as for the health care provider in primary and acute health care settings.

RESULTS

Recommendations are provided to enhance the overall delivery of services, including understanding and managing a child's challenging behaviors, and supporting family management of common activities of daily living and behaviors.

DISCUSSION

Health care providers' knowledge of evidence-based recommendations for providing care, supporting family self-management of common concerns, and referral heighten the likelihood of better outcomes for children with autism spectrum disorder.