Transcript
Associate Professor Melissa Mulraney Hi, I’m Melissa Mulraney. I’m an Associate Professor of Developmental Mental Health in the Department of Paediatrics, at the University of Melbourne in Australia. Today, I’m going to be speaking about some work that we recently published, where we developed a set of patient-centred outcome measures for children and young people with neurodevelopmental disorders. So, just to give a brief overview of my talk, I’ll start by describing what neurodevelopmental disorders and measurement-based care are, then I’ll introduce ICHOM, the organisation that drove the development of the set. I’ll then take you through how we developed the set, describe the different components and then, finally, provide some links to resources and further information.
So, neurodevelopmental disorders are conditions that affect how the brain develops and functions. They usually show up in early childhood and they can affect things like how people learn, the way that they behave and interact with the world around them, as well as how they interact and communicate with other people. There are a lot of different types of neurodevelopmental disorders, which depends on how brain development is affected and what types of functions are affected. So, I’ll just give a brief description of the different categories of neurodevelopmental disorders that you can see listed here, and these are the categories that are included in the DSM-5, which is the Diagnostic and Statistical Manual of Mental Disorders.
So, intellectual disabilities involve limitations in intellectual functioning, so things like our ability to learn, reason and problem solve, as well as limitations in adaptive behaviour. So, this is things like our everyday social and practical skills, like being able to dress ourselves independently. Communication disorders affect a person’s ability to understand or apply language and speech, and this can include things like difficulties with speaking, listening, reading, writing, or understanding language, and an example of a communication disorder would be a person who stutters. Autism spectrum disorder is a condition that affects how a person communicates and interacts with others. People with autism may have trouble understanding social cues, may engage in repetitive behaviours and might have very focused interests.
ADHD is a condition characterised by persistent patterns of inattention, so people have a lot of trouble focusing or concentrating, hyperactivity, which is excessive movement, and impulsivity, so acting without thinking. Specific learning disorders are difficulties in specific areas of learning, like reading, writing or maths. People who have a specific learning disorder with impairments in reading and spelling are often referred to as having dyslexia. Specific learning disorders are not due to a lack of intelligence or effort, but are related to how our brain processes information. And then, finally, motor disorders are conditions that affect the nervous system and lead to abnormal and involuntary movements. So, these can include things like tics, tremors or problems with co-ordination and balance. An example of a motor disorder would be Tourette syndrome.
Okay. Now, measurement-based care is a way of using regular systematic assessments to track a patient’s progress during treatment. So, in simpler terms, that means that Doctors and Therapists regularly check in on how a patient is doing by using specific tools and questionnaires, and this helps them see if the treatment is working and make any necessary adjustments to improve the care they’re giving their patients. So, for example, in diabetes care, we know that patients measure their blood sugar levels and then adjust their medication accordingly. In the context of neurodevelopmental disorders, this might look like a parent completing a brief questionnaire about their child’s ADHD symptoms after starting medication, and then this helps the Doctor decide whether the medication dose needs to be adjusted.
And we know that the use of measurement-based care is associated with a number of positive outcomes, so by regularly tracking a patient’s progress using standardised tools, healthcare providers can see what treatments are working and make adjustments as needed, and this leads to better and faster improvements in patient health. Measurement-based care enhances clinical decision-making, through providing objective data that helps Clinicians make more informed decisions about treatment plans, and this reduces the reliance on guesswork and personal clinical judgement alone.
When patients see their progress through regular assessments, they often feel more involved and motivated in their treatment, and this can lead to better adherence to treatment, as well as improved overall patient satisfaction. Measurement-based care also helps to show the effectiveness of treatments, by providing clear evidence of patient progress, and this is really important for justifying the use of certain therapies, and in some contexts, for securing funding or insurance coverage. And then, finally, measurement-based care can also help prevent deterioration, so regular monitoring can catch early signs that a patient’s condition is worsening, and this allows for early, timely interventions to prevent further decline.
Okay. Now, before I go on to describe our research, I’m just going to speak a little bit about ICHOM, the organisation who drove the development of our set. So, ICHOM stands for International Consortium for Health Outcomes Measurement. They’re a nonprofit organisation with a vision of improving health and safe equitable healthcare through measurement-based care, ensuring that the outcomes which matter most to patients are being tracked. ICHOM aims to standardise and drive global adoption of patient-centred outcomes measurement as the benchmark for health and value.
Okay. So, ICHOM sets end up being a set of around ten to 15 outcomes that matter most to the people with a particular condition, and this usually includes symptoms of the condition, as well as impacts on functioning and quality of life. The sets are designed to be mostly patient-reported outcomes, but most sets also include some Clinician-reported outcomes. As well as the outcomes, a set will include something that’s called ‘case-mix variables’. Now, these are things that are not likely to change as a result of treatment for the condition, but they’ll probably impact either treatment effectiveness or the choice of which treatment to use. So, case-mix variables might include things like a person’s gender, or if they were born prematurely.
The sets also include recommended measurement tools, so, for example, a particular questionnaire might be recommended to measure quality of life. And this ensures that, as much as possible, the same tools are used in different healthcare settings worldwide, which makes it easier to compare outcomes across services. Lastly, the sets include recommended measurement timepoints, and again, this makes comparisons between services a lot more relevant, because patient outcomes can be compared at similar stages of treatment.
So, how are they developed? ICHOM sets are developed by an international working group that consists of a core Research Team, including ICHOM representatives, a Working Group Chair, who’s a renowned expert in the field, and a Research Fellow, who’s also an expert in the field, but generally a bit more junior in their career than the Chair. So, for the neurodevelopmental disorder set, I was the Research Fellow. As well as the core Research Team, there’s a selection of experts from around the globe, including Researchers and Clinicians who work diresh – directly with patients with the conditions. And then, finally, the working group includes lived experience representatives.
So, what happens in the process is the Research Team compiles – or the core Project Team compiles evidence to present to the working group, who then vote on various aspects of the set in an iterative process, until agreement is reached on final recommendations. And when choosing measurement tools, the working group prioritise measures that have evidence of strong psychometric properties, so that means these are measures that can reliably measure what it is that they’re supposed to be measuring. Working groups also prioritise measures that have low administrative burden, so that it’s not too difficult or time consuming for patients and Clinicians to complete, wherever possible tools that are free from cost and that are translated into multiple languages.
Okay. So, for the neurodevelopmental disorders, the working group is shown on the slide here, and consisted of 27 experts from 12 countries, and this included Clinicians and Researchers, as well as two lived experience representatives. Now, I know the font here is quite small, but as you can see on the map, we had representatives from most areas around the globe, and the core Project Team co-ordinated and facilitated the work and undertook supporting research, but didn’t vote on the surveys.
So, the set was developed through the process that’s depicted on this slide. So, the working group participated in nine video conferences and eight surveys, between March 2021 and June 2022. During the video conferences, the working group discussed the results of research presented by the Project Team, and then a modified Delphi process was undertaken to make decisions. So, what this means is that members were given a survey where they voted on how important different aspects were. If 80% of the group agreed that something was essential, it was included, and if 80% agreed that it was not important, then it was excluded. Anything else that didn’t meet those thresholds was discussed in a subsequent video conference and then went through to a second round of voting, and if necessary, a third round. So, the working group voted on the scope of the set, outcomes and their measurement, as well as a selection of case-mix variables and timepoints for measurement, and I’ll describe each of those steps in turn. And then the set also went through an open review period, where it was distributed to professionals and service users for external feedback and validation.
Okay. So, here you can see the final scope of the set, and there were just a couple of key things that I wanted to speak about in relation to this. So, we made the decision to define neurodevelopmental cor – disorders according to the categories you can see here, so ADHD, motor disorders, communication disorders and specific learning disorders. Although the working group agreed that a set of outcome measures for neurodevelopmental disorders should include autism, a separate ICHOM set had already been developed specific to autism, so we didn’t want to duplicate this work. The working group also decided to exclude intellectual disabilities, and this is based on the understanding that the goal was to develop a standard set of patient-reported outcome measures reflecting treatment outcomes, and intellectual abilities are really not very well measured through patient-reported measures. In fact, most measures of intellectual ability are very time consuming and costly, and need to be administered by a Psychologist, so they’re not really feasible for a project like this.
All treatment approaches and modalities were considered in scope, and the age range for the set was three to 20 years. We set the upper limit at 20 rather than 18, because the working group thought that it was really important to capture the transition into young adulthood, especially since a lot of youth health services around the world include adults – include clients who are in early adulthood. We excluded adults older than 20 because a lot of the relevant outcomes change from childhood to adulthood. So, for example, in adulthood, work-related outcomes become more important and education-related outcomes less so. We did recommend to ICHOM that they consider developing a separate set for adults with neurodevelopmental disorders.
Okay. So, moving to outcomes and measurement, the working group decided on a broad outcome domain of core symptoms, which vary according to diagnosis. And on this slide, you can see the chosen core symptom outcomes for each disorder, as well as the tools recommended to measure them. So, I just want to remind you again here, when choosing measures, we prioritised those with evidence of strong psychometric properties, with low administration burden, wherever possible free of cost, and translated into multiple languages. So, for ADHD symptoms, we recommend using either the SNAP-IV, ADHD Rating Scale-5, or Vanderbilt. And these three measures are pretty directly comparable, because the measurement of core ADHD symptoms in these tools maps directly onto diagnostic criteria and response format is the same. So, we didn’t feel comfortable recommending one tool above another, because they’re essentially, equivalent in their measurement of ADHD symptoms.
For communication disorders, we recommend the Children’s Communication Checklist-2, to assess language and social communication difficulties, and the Intelligibility in Context Scale for speech sound difficulties. We weren’t able to identify an appropriate patient-report measure for fluency difficulties, so while it’s not included as part of the core set, we do recommend that where possible, fluency difficulties should be assessed using the Speech Naturalness Scale. Core symptom outcomes for motor disorders include fine and gross motor skills and co-ordination, for which we recommend the Developmental Co-ordination Disorder Questionnaire, and motor disorders can also include vocal and motor tic frequency and severity, for which we recommend the Yale Global Tic Severity Scale. And then, finally, specific learning disorder outcomes include reading accuracy and comprehension, global maths ability and global writing ability, all of which can be assessed using the Colorado Learning Disabilities Questionnaire.
Our second broad outcome domain was impact, functioning and quality of life, and while we recognise that educational outcomes are really important, they’re generally assessed through education rather than health services, so we weren’t actually able to find an appropriate patient-report measure, and so when – we can’t make a recommendation of a tool at this time. The KIDSCREEN-10 was chosen to track quality of life outcomes and activities of daily living, with the Clinician-reported Developmental Disability-CGAS recommended to complement the KIDSCREEN for activities of daily living. We chose the KIDSCREEN-10 over longer versions of this scale, both to reduce burden and also, increase consistency across sets. So, for example, the set for anxiety and depression in children and young people also recommend the KIDSCREEN-10. For assessment of caregiver burden, the Family Strain Index is recommended.
The final broad domain we included is common co-existing problems, and this wheel here just depicts the three broad domains with their component outcomes within. And then, as you can see, three of the six included outcomes under common co-existing problems are the focus of existing ICHOM sets. So, for these issues, we recommend the measures used in the corresponding set. For emotional lability and reactivity, aggression and irritability, the Affective Reactivity Index and the SNAP-IV are recommended, with the Children’s Sleep Habits Questionnaire for sleep problems.
Okay. Now, the next few slides will go through the case-mix variables that we included in the set. So, just to remind you, case-mix variables are things that are not likely to change as a result of treatment but will probably impact treatment effectiveness or decisions about what treatment to use. So, we agreed that services should record demographic information, baseline health status, clinical and historical factors and treatment-related factors. You can see here on the slide the demographic factors that we included. In relation to treatment, we recommend intervention type and setting be included. This might include things like what type of medication or psychotherapy, and whether it’s being delivered in a hospital or community setting. In terms of disorder-specific factors, we included ADHD subtype, and for specific learning disorders, whether the child’s first language is the same as the predominant local language spoken where they’re living.
A large number of baseline health status, clinical and historical factors were included, as you can see here on the slide, but many of these are measured by the Current View tool and so, can actually be recorded quite quickly and easily by services. Now, I’ll just pause for a moment to give you a chance to read through these, before I go onto the next slide [pause].
So, finally, the timepoints for measurement, and we recognise that these are likely to vary quite considerably across services and Clinicians. So, the timepoints that we’re recommending here are really minimum timepoints for measuring outcomes and case-mix variables, but we encourage measuring outcomes as frequently as is needed to best inform clinical decision-making. So, outcomes should be measured at least every six months, or in the cases of changes to medication, they should be measured prior to initiation or change of a medication, as well as at the end of titration.
So, to summarise, the neurodevelopmental disorders set has been completed and is freely available for download and implementation. I’ve included here the direct link to the webpage that you can download it from. You do need to sign up for an ICHOM Connect account before you’ll be able to download the materials, but these accounts are free to set up. So, the set includes 12 outcomes across the domains of core symptoms, impact, functioning and quality of life and common co-existing problems, with 14 recommended measures.
One point that I wanted to touch on before finishing up today, is that we did have a lot of difficulty selecting measures for some of the outcomes. When we were doing our research, we found that very few of the tools had evidence that they were sensitive to change, and for some outcomes, we weren’t actually able to locate any appropriate measures, or patient-reported outcome measures, so in some instances, we couldn’t make a recommendation, and in others we’ve recommended Clinician-reported outcomes. So, it’s really important, as we continue to work towards our patient-centred measurement-based care, that appropriate psychometrically sound patient-reported outcome measures are developed, to make sure that we can properly measure all outcomes of importance to service users.
Finally, I’d just really like to thank everyone who contributed to the development of the set, including the working group members, the reference group members, the core Project Team, our patients and professionals who participated in the open review survey, and the NHS England for funding the set development. Thank you.