Preferences in the Design and Delivery of Neurodevelopmental Follow-Up Care for Children: A Systematic Review of Discrete Choice Experiments

Neurodevelopmental disorders are a significant cause of morbidity. Early detection of neurodevelopmental delay is essential for timely diagnosis and intervention, and it is therefore important to understand the preferences of parents and clinicians for engaging with neurodevelopmental surveillance and follow-up care. Discrete choice experiment (DCE) may be an appropriate method for quantifying these preferences. This review systematically examined how DCEs have been designed and delivered in studies examining neurodevelopmental care of children and identified the preferred attributes that have been reported. PubMed, Embase, CINAHL, and Scopus databases were systematically searched. Studies were included if they used DCE to elicit preferences for a neurodevelopmental follow-up program for children. Two independent reviewers conducted the title and abstract and full-text screening. Risk of bias was assessed using a DCE-specific checklist. Findings were presented using a narrative synthesis. A total of 6618 records were identified and 16 papers were included. Orthogonal (n=5) and efficient (n=5) experimental designs were common. There was inconsistent reporting of design-related features. Analysis was primarily completed using mixed logit (n=6) or multinomial logit (n=3) models. Several key attributes for neurodevelopmental follow-up care were identified including social, behavioral and emotional support, therapy, waiting time, and out-of-pocket costs. DCE has been successfully used as a preference elicitation method for neurodevelopmental-related care. There is scope for improvement in the design and analysis of DCE in this field. Nonetheless, attributes identified in these studies are likely to be important considerations in the design and implementation of programs for neurodevelopmental care.

Parental perspectives on attention-deficit/hyperactivity disorder treatments for children

This study investigated parental perspectives and experiences on the evaluation and treatment process associated with attention-deficit/hyperactivity disorder (ADHD). Five hundred sixty-eight parents of youth 2-28 years-old (M = 9.37; SD = 4.11) diagnosed with ADHD responded to a 14-item online survey about their child's diagnosis and treatment. Parents reported that they had tried an average of 4.49 interventions (SD = 2.63). Parents further shared factors in treatment selection, most helpful parenting strategies, and preferences for types of treatments and treatment targets. A majority of parents reported incorporating many non-traditional strategies (e.g., exercise, healthy eating, outdoor activities) with goals of improving their child's coping skills, study habits, and anger management. The findings show that treatment choices were often selected based on trust in the provider, research support, and the child's preference. Given parental preferences for non-traditional strategies, treatment development efforts should consider these strategies as a component of a broader multimodal treatment approach to ADHD.

Eliciting preferences for continuing medication among adult patients and parents of children with attention-deficit hyperactivity disorder

BACKGROUND

Adherence to medication for attention-deficit hyperactivity disorder (ADHD) is less than optimal. Previous studies have primarily focused on qualitative assessment of factors that influence medication adherence.

OBJECTIVE

This study aimed to quantify the factors that influence patient and parent preferences for continuing ADHD medication.

METHOD

A discrete-choice experiment was conducted to investigate preferences. Adults, and parents of children, with ADHD were presented with eight hypothetical choice tasks of three options (Medication A, Medication B, No Medication) described by six attributes related to medication outcomes. Preferences were estimated using a mixed multinomial logit model.

RESULTS

Overall, respondents' preferences (n = 216) for continuing medication were negative (mean [β] = -1.426, p < .001); however, a significant heterogeneity in preferences was observed amongst respondents (standard deviation = 0.805, p < .001). Improvements in education, aggressive behaviour, social behaviour and family functioning, and side effects and stigma, influenced respondents' decision to continue taking medication. The respondents were willing to continue medication if they experienced positive effects, but side effects (even moderate) were the strongest concern for not continuing medication. While side effects were the most important factor for both adult patients and parents of children with ADHD, improvement in education was relatively more important for adults and improvement in aggressive behaviour, social behaviour and family functioning was relatively more important for parents of children with ADHD. Parents were more likely to not continue a medication with severe side effects even at the highest level of improvement in education.

CONCLUSIONS

Side effects are the most important factor that influenced preferences for continuing medication for both adults with ADHD, as well as parents of children with ADHD. While overall the respondents preferred not to take/give medication, discrete-choice experiment showed that the relative importance of factors that influenced continuation of medications was different for the two groups.

PATIENT AND PUBLIC INVOLVEMENT

Adults, and parents of children, with ADHD participated in this study by completing the online questionnaire. The questionnaire was based on findings of research in the literature, as well as earlier focus groups conducted with adults, and parents of children, with ADHD. The face validity of the questionnaire was determined by asking parents of children, and adults, with ADHD (n = 3) to complete the survey and participate in a short discussion on their understanding of the questions and their recommendations on improving the clarity of the survey.

Socioeconomic factors and parents' preferences for internet- and mobile-based parenting interventions to prevent youth mental health problems: A discrete choice experiment

BACKGROUND

The positive impact of parenting programs for youth mental health is undermined by difficulties engaging parents. Low engagement disproportionately impacts parents of lower-socioeconomic positions (SEPs). Internet- and mobile-based interventions hold potential for overcoming barriers to enrolment, but additional research is needed to understand how programs can appropriately meet the needs of parents across SEPs. Consumer preference methods such as discrete choice experiments may be valuable in this endeavour.

METHOD

A discrete choice experiment was used to determine the relative influence of modifiable program features on parents' intent to enrol. 329 Australian parents of children aged 0-18 repeatedly selected their preferred program from randomized sets of hypothetical programs in an online survey. Each hypothetical program was unique, varying across four program features: module duration, program platform, user control, and program cost. Cumulative link models were used to predict choices, with education, household income, and community advantage used as indicators of SEP.

RESULTS

Overall, parents preferred cheaper programs and briefer modules. Parents' preferences differed based on their socioeconomic challenges. Lower-income parents preferred briefer modules, cheaper programs and application-based programs compared to higher-income parents. Parents with less education preferred briefer modules and a predefined module order. Parents living in areas of less advantage preferred website-based programs, user choice of module order, and more expensive programs.

CONCLUSIONS

This study offers program developers evidence-based strategies for tailoring internet- and mobile-based parenting interventions to increase lower-SEP parent enrolment. Findings also highlight the importance of considering parents' socioeconomic challenges to ensure programs do not perpetuate existing mental health inequalities, as "one-size-fits-all" approaches are likely insufficient for reaching lower-SEP parents.

Using discrete choice experiment to investigate patients' and parents' preferences for initiating ADHD medication

BACKGROUND

The decision to initiate medication is complex and is influenced by a variety of factors. There is limited information on the relative importance of factors that influence the initiation of ADHD medication.

AIMS

To investigate the factors, and their relative importance, that influence the decision to initiate medication in adults, and parents of children, with ADHD.

METHODS

A discrete choice experiment was conducted using eight choice tasks made up of five attributes that described the outcomes of initiating medication. A mixed multinomial logit model was used to estimate preferences for medication.

RESULTS

Respondents' overall preferences for initiating medication were negative (Mean (β)= -0.72705, p < 0.1), however, significant heterogeneity was noted in preferences (SD: 0.93604, p < 0.001). Side-effects were the most important factor for both adults (Relative importance (RI) = 40.39%) and parents (RI = 41.99%). Improvement in education had a greater weighting in adults' decision-making compared to parents (RI = 36.93% vs 30.47%) while improvement in aggressive (RI = 14.38% vs 11.84%) and social behaviour (RI = 12.59% vs 10.37%) was more important to parents.

CONCLUSIONS

Important differences in preferences of patients and parents were identified, highlighting that the decision to initiate medication is influenced differently in different individuals and groups.

Mental health service preferences of patients and providers: a scoping review of conjoint analysis and discrete choice experiments from global public health literature over the last 20 years (1999-2019)

BACKGROUND

In designing, adapting, and integrating mental health interventions, it is pertinent to understand patients' needs and their own perceptions and values in receiving care. Conjoint analysis (CA) and discrete choice experiments (DCEs) are survey-based preference-elicitation approaches that, when applied to healthcare settings, offer opportunities to quantify and rank the healthcare-related choices of patients, providers, and other stakeholders. However, a knowledge gap exists in characterizing the extent to which DCEs/CA have been used in designing mental health services for patients and providers.

METHODS

We performed a scoping review from the past 20 years (2009-2019) to identify and describe applications of conjoint analysis and discrete choice experiments. We searched the following electronic databases: Pubmed, CINAHL, PsychInfo, Embase, Cochrane, and Web of Science to identify stakehold,er preferences for mental health services using Mesh terms. Studies were categorized according to pertaining to patients, providers and parents or caregivers.

RESULTS

Among the 30 studies we reviewed, most were published after 2010 (24/30, 80%), the majority were conducted in the United States (11/30, 37%) or Canada (10/30, 33%), and all were conducted in high-income settings. Studies more frequently elicited preferences from patients or potential patients (21/30, 70%) as opposed to providers. About half of the studies used CA while the others utilized DCEs. Nearly half of the studies sought preferences for mental health services in general (14/30, 47%) while a quarter specifically evaluated preferences for unipolar depression services (8/30, 27%). Most of the studies sought stakeholder preferences for attributes of mental health care and treatment services (17/30, 57%).

CONCLUSIONS

Overall, preference elicitation approaches have been increasingly applied to mental health services globally in the past 20 years. To date, these methods have been exclusively applied to populations within the field of mental health in high-income countries. Prioritizing patients' needs and preferences is a vital component of patient-centered care - one of the six domains of health care quality. Identifying patient preferences for mental health services may improve quality of care and, ultimately, increase acceptability and uptake of services among patients. Rigorous preference-elicitation approaches should be considered, especially in settings where mental health resources are scarce, to illuminate resource allocation toward preferred service characteristics especially within low-income settings.

Application and Perceived Effectiveness of Complementary and Alternative Intervention Strategies for Attention-Deficit/Hyperactivity Disorder: Relationships with Affiliate Stigma

This cross-sectional questionnaire survey study was designed to examine the complementary and alternative intervention strategies (CAIS) employed by caregivers for their children’s attention-deficit/hyperactivity disorder (ADHD) and the associations of affiliate stigma with the employment and rated effectiveness of these strategies in Taiwan. A total of 400 caregivers of children with ADHD participated. CAIS that the caregivers employed and their effectiveness rated by the caregivers were surveyed. Associations of affiliate stigma with the application and rated effectiveness of the strategies were determined using logistic regression analysis. The results indicated that sensory integration (30.3%), exercise training (29.3%), sugar restriction (20.5%), and omega fatty acid supplementation (11.3%) were the most common CAIS that the caregivers employed. Caregivers with stronger affiliate stigma were more likely to employ sensory integration, exercise training, and omega fatty acid supplementation but also rated them as ineffective in treating their children’s ADHD. Various CAIS were employed by the caregivers to manage their children’s ADHD. Affiliate stigma was significantly associated with the application and rated ineffectiveness of several CAIS.

What attributes should be included in a discrete choice experiment related to health technologies? A systematic literature review

Discrete choice experiments (DCEs) are a way to assess priority-setting in health care provision. This approach allows for the evaluation of individuals’ preferences as a means of adding criteria to traditional quality-adjusted life year analysis. The aim of this systematic literature review was to identify attributes for designing a DCE in order to then develop and validate a framework that supports decision-making on health technologies. Our systematic literature review replicated the methods and search terms used by de Bekker-Grob et al. 2012 and Clark et al. 2014. The Medline database was searched for articles dated between 2008 and 2015. The search was limited to studies in English that reflected general preferences and were choice-based, published as full-text articles and related to health technologies. This study included 72 papers, 52% of which focused on DCEs on drug treatments. The average number of attributes used in all included DCE studies was 5.74 (SD 1.98). The most frequently used attributes in these DCEs were improvements in health (78%), side effects (57%) and cost of treatment (53%). Other, less frequently used attributes included waiting time for treatment or duration of treatment (25%), severity of disease (7%) and value for money (4%). The attributes identified might inform future DCE surveys designed to study societal preferences regarding health technologies in order to better inform decisions in health technology assessment.

Racial-Ethnic Differences in Patterns of Discontinuous Medication Treatment Among Medicaid-Insured Youths With ADHD

OBJECTIVE

This study examined the association between race-ethnicity and patterns of medication gaps and discontinuities among Medicaid-insured children initiating pharmacotherapy for attention-deficit hyperactivity disorder (ADHD).

METHODS

Medicaid claims data from nine states were used to identify racial-ethnic differences in patterns of ADHD medication treatment among 102,669 children initiating ADHD medication. Multinomial logistic regression with state indicators was used to estimate these differences, with adjustment for individual and contextual confounders.

RESULTS

Approximately three-fifths of the sample did not receive continuous medication treatment as defined by HEDIS guidelines; among them, one-fifth discontinued treatment with no subsequent reinitiation (early termination), less than one-tenth reinitiated pharmacotherapy following a single medication gap, more than three-tenths experienced discontinuous pharmacotherapy with two gaps, and more than four-tenths experienced discontinuous pharmacotherapy with three or more gaps. Compared with white children, black children had a 25% relative increase in the likelihood of early termination and Hispanic children had a 21% relative increase (p<.001); their relative increases in the likelihood of two medication gaps were 41% and 29%, respectively (p<.001), and for three or more gaps they were 56% and 40%, respectively (p<.001).

CONCLUSIONS

Black and Hispanic children were much more likely than white children to be classified as discontinuing ADHD medication treatment, according to HEDIS. The differences predominantly occurred because youths from minority groups were more likely to experience multiple medication gaps, rather than complete discontinuation. Future studies should examine reasons for these multiple gaps to inform interventions to improve ADHD treatment continuity.

A Latent Class Analysis to Identify Variation in Caregivers' Preferences for their Child's Attention-Deficit/Hyperactivity Disorder Treatment: Do Stated Preferences Match Current Treatment?

OBJECTIVES

To investigate variation in caregiver preferences for their child's attention-deficit/hyperactivity disorder (ADHD) care and to determine if their stated preferences align with current care management.

METHODS

Caregivers of a child aged 4-14 years and in care for ADHD were recruited from pediatric outpatient clinics and advocacy groups across the state of Maryland. Participants completed a survey collecting demographics, the child's treatment, and caregiver preferences-elicited using a best-worst scaling experiment (case 2). Latent class analysis was used to identify distinct preference segments and bivariate analyses were used to compare the association between segment membership with what the child was currently receiving for their ADHD.

RESULTS

Participants (n = 184) were predominantly White (68%) and the child's mother (84%). Most children had ADHD for 2 or more years (79%). Caregiver preferences were distinguished by two segments: continuous medication (36%) and minimal medication (64%). The two groups had very different preferences for when medication was administered (p < 0.001), but they had similar preferences for provider-oriented and non-medication interventions (p > 0.05 for the caregiver behavior training, provider communication, provider specialty, and out-of-pocket costs). One third of the sample did not receive the preferred individualized education program and 42% of the minimal medication group reported using medication 7 days a week all year round.

CONCLUSIONS

Although behavior management training and school accommodations aspects of an ADHD care plan are more important to caregivers than evidence-based medication, fewer families had access to educational accommodations. Further research is needed to clarify how stated preferences for care align with treatments used in actual practice settings.

Caregiver Treatment Preferences for Children with a New Versus Existing Attention-Deficit/Hyperactivity Disorder Diagnosis

OBJECTIVES

Parental experiences with managing their child's attention-deficit/hyperactivity disorder (ADHD) can influence priorities for treatment. This study aimed to identify the ADHD management options caregivers most prefer and to determine if preferences differ by time since initial ADHD diagnosis.

METHODS

Primary caregivers (n = 184) of a child aged 4-14 years old in care for ADHD were recruited from January 2013 through March 2015 from community-based pediatric and mental health clinics and family support organizations across the state of Maryland. Participants completed a survey that included child/family demographics, child clinical treatment, and a Best-Worst Scaling (BWS) experiment to elicit ADHD management preferences. The BWS comprised 18 ADHD management profiles showing seven treatment attributes, where the best and worst attribute levels were selected from each profile. A conditional logit model using effect-coded variables was used to estimate preference weights stratified by time since ADHD diagnosis.

RESULTS

Participants were primarily the mother (84%) and had a college or postgraduate education (76%) with 75% of the children on stimulant medications. One-on-one caregiver behavior training, medication use seven days a week, therapy in a clinic, and an individualized education program were most preferred for managing ADHD. Aside from caregiver training and monthly out-of-pocket costs, caregivers of children diagnosed with ADHD for less than two years prioritized medication use lower than other care management attributes and caregivers of children diagnosed with ADHD for two or more years preferred school accommodations, medication, and provider specialty.

CONCLUSIONS

Preferences for ADHD treatment differ based on the duration of the child's ADHD. Acknowledging that preferences change over the course of care could facilitate patient/family-centered care planning across a range of resources and a multidisciplinary team of professionals.

Preferences for Attention-Deficit/Hyperactivity Disorder (ADHD) Non-Stimulant Treatment Characteristics Among Children and Adolescents With ADHD and Their Caregivers

Background: Understanding patient and caregiver preferences for treatment is important for optimizing treatment decisions. Non-stimulant therapies are an alternative treatment option to stimulant therapy for attention-deficit/hyperactivity disorder (ADHD). Guanfacine extended release (GXR) and atomoxetine (ATX) are two non-stimulant medications approved in the United States for the treatment of ADHD. Objective: To identify non-stimulant ADHD medication attributes important to caregivers/patients. Methods: US caregivers of ADHD patients (6-17 years) and child/adolescent patients (10-17 years) completed an adaptive conjoint analysis survey. Respondents selected between hypothetical treatments with different attributes. Ordinary least-squares and hierarchical Bayes regression using Sawtooth Software were used to calculate utilities, importance ratings, and preferences. Results: 483 caregivers (mean age: 41.9 years, standard deviation [SD]: 8.7; 75% female) and 211 children/adolescents (mean age: 14.5 years, SD: 2.2; 70% male) completed the survey. Based on importance ratings, the most influential attributes for both caregivers and children/adolescents were chance of somnolence, efficacy, and for caregivers, effect on oppositionality and black box warning. Most caregivers (95.3%) and children/adolescents (93.8%) preferred GXR over ATX. In several sensitivity analyses in which attribute levels varied, GXR remained the preferred medication with the exception of one scenario. Conclusions: Children/adolescents and caregivers demonstrated in this study that they can clearly express their preferences for treatment attributes and treatment choices; in this case they preferred GXR to ATX. Patients and caregiver preferences could be useful inputs to the treatment selection decision-making process.

Systematic Review of Patients' and Parents' Preferences for ADHD Treatment Options and Processes of Care

BACKGROUND

Patient preferences are an important topic of study with respect to attention-deficit hyperactivity disorder (ADHD) interventions, as there are multiple treatment choices available, multiple developmental levels to consider, and multiple potential individuals involved in treatment (children, parents, and adults with ADHD). Stated preference methods such as discrete choice experiment (DCE), best-worst scaling (BWS), and other utility value methods such as standard gamble interview (SGI) and time trade-off (TTO) are becoming more common in research addressing preferences for ADHD treatments. A synthesis of this research may facilitate improved patient-centered and family-centered treatment for ADHD.

OBJECTIVE

The purpose of this review was to synthesize reports across existing DCE, BWS, TTO, and SGI studies to assess which aspects of ADHD treatment are most studied as well as most preferred and influential in treatment decisions.

DATA SOURCES

MEDLINE, PsycINFO.

STUDY SELECTION

A total of 41 studies referring to preferences for ADHD treatment were identified through the initial search and contact with researchers. Of these, 13 reported ADHD treatment preference data from a study using DCE, BWS, or SGI methods. No TTO studies were identified that met inclusion criteria.

RESULTS

Methods and designs varied considerably across studies. Relatively few studies focused on preferences among children, adolescents, and adults compared with those that focused on the preferences of parents of children with ADHD. The majority of studies focused primarily on medication treatments, with many fewer focused on psychosocial treatments. Some studies indicated that parents of children with ADHD prefer to avoid stimulant medications in favor of behavioral or psychosocial interventions. Others report that parents see medication as a preferred treatment. Treatment outcome is a particularly salient attribute for treatment decisions for many informants.

CONCLUSIONS

Potential outcomes of various treatments play a proximal role in patients' and families' decisions for ADHD treatment. Because the majority of studies focus on medication treatments for children with ADHD, more research is necessary to understand preferences related to behavioral and other psychosocial treatments both as stand-alone interventions and used in combination with medication. Additional research is also needed to assess the treatment preferences of adults with ADHD. In general, DCE, BWS, and SGI methods allow measurement of patient preferences in a manner that approximates the uncertainty and trade-offs inherent in real-world treatment decision making and provides valuable information to inform patient-centered and family-centered treatment.

Attribute Development Using Continuous Stakeholder Engagement to Prioritize Treatment Decisions: A Framework for Patient-Centered Research

OBJECTIVES

To develop a methodological approach for selecting, validating, and prioritizing attributes for health care decision making.

METHODS

Participants (n = 48) were recruited from community support groups if they had a child aged 26 years or younger diagnosed with a coexisting mental health condition and cognitive impairment. Six in-depth interviews eliciting care management experiences were transcribed and coded into themes following the principles of grounded theory and the constant comparative method. Six focus groups involving 42 participants assessed the relevance, priority, and meaning and inter-relationship among the themes. The positive predictive value and sensitivity assessed agreement on thematic meaning. A final list was selected from the top priorities with good agreement as candidate attributes. Attribute levels reflecting the range of experiences in care management decisions emerged from the verbatim passages within each coded theme.

RESULTS

Participants were the child's mother (73%), white (77%), married (69%), and on average 48 years old. The children were on average 14 years old; 44% had an intellectual disability, 25% had autism, and more than half had anxiety or attention-deficit/hyperactivity disorder. All 14 attributes identified from the in-depth interviews were deemed relevant. The positive predictive value exceeded 90%, and the sensitivity ranged from 64% to 89%. The final set of attributes formed the framework for care management decisions consisting of six attributes (medication, behavior, services, social, treatment effects, and school) each with three levels.

CONCLUSIONS

A systematic approach grounded in qualitative methods produced a framework of relevant, important, and actionable attributes representing competing alternatives in clinical decisions.

Using Best-Worst Scaling to Measure Caregiver Preferences for Managing their Child's ADHD: A Pilot Study

BACKGROUND

Management of attention-deficit/hyperactivity disorder (ADHD) is a trade-off between caregivers' concerns about the benefits versus the risks of evidence-based treatment. Few studies have used choice-based methods to assess what treatment attributes matter most to caregivers.

OBJECTIVE

The aim was to develop and to pilot an instrument to elicit caregivers' preferences for evidence-based management of their child's ADHD.

METHODS

Mixed methods were used to develop a Best-Worst Scaling (BWS) instrument, and quantitative methods were used to pilot the instrument. Primary caregivers of children with ADHD from two community organizations were recruited for the development (n = 21) and pilot (n = 37) phase. The instrument was a BWS case 2, where 18 management profiles are presented one at a time, with respondents indicating the one best and one worst feature of each profile. Profiles were developed using a main effects orthogonal array. The mean of best-minus-worse scores was estimated, and attribute importance was based on the sum of maximum minus minimum scores for each attribute. Feasibility of eliciting stated preferences was evaluated with t tests and 95 % confidence intervals.

RESULTS

Seven attributes (medication, therapy, school, caregiver training, provider specialty, provider communication, and out-of-pocket costs) with three levels each were identified. All mean scores were significant except for pediatrician management of the child's ADHD (p = 0.089). Caregiver training had the highest relative importance, followed by medication and provider communication.

CONCLUSIONS

The BWS instrument was a relatively simple measure, caregivers completed it independently, and it distinguished the relative importance of different attributes in managing a child's ADHD.

Nutzung von Conjoint-Analysen zur Messung von Therapiezielpräferenzen aus Patientenperspektive in der Behandlung psychischer Störungen

Hintergrund: Im Zuge der wachsenden Bedeutung von Ansätzen zur Patientenorientierung und -partizipation in der Gesundheitsversorgung gewinnt die Bestimmung subjektiver Therapiezielpräferenzen unterschiedlicher Akteure (Patienten, Behandler, Angehörige) zunehmend an Forschungsinteresse. Stated-Preference-Methods ermöglichen die systematische Untersuchung speziell patientenorientierter Fragestellungen. Ziele der Studie: Identifikation und Beschreibung (nach formalen, methodischen und inhaltlichen Merkmalen) von Studien mit Stated-Preference-Methods (Conjoint Measurements, Conjoint Analysis, Discrete Choice Experiments) in der Versorgung von Patienten mit psychischen Störungen mit dem Ziel, eine Bewertung zur Anwendbarkeit der Methode (Potential, Nutzen, Grenzen) in zukünftiger patientenorienterter Forschung abzuleiten. Methode: Systematische Literaturrecherche mit folgenden Studieneinschlusskriterien: Participants: Interventionen zur Behandlung von Patienten mit psychischer Störung; Intervention: psychotherapeutische, psychiatrische, hausärztliche Behandlungen (stationär, teil-stationär, ambulant); Comparison: Studien mit keiner (Ein-Gruppen-Design) oder mindestens einer Kontrollgruppe; Outcomes: conjoint-spezifische Angaben zu Nutzenwerten. Ergebnisse: Conjoint-Analysen werden in unterschiedlichen Forschungsdesigns und unter heterogenen Rahmenbedingungen (Stichprobe, Störungsbild, Setting, Intervention, Zieldimension) zur Messung von Therapiezielpräferenzen eingesetzt. Die Erstellung des Conjoint-Designs erfolgt in der Regel reduziert (orthogonal), mithilfe von Softwarepaketen, die Erhebung als Fragebogen. Schlussfolgerungen: Conjoint-Analysen ermöglichen differenzierte Aussagen über Therapiepräferenzstrukturen auf Basis relationaler Beurteilungsszenarien und stellen damit eine fundiertere Basis zur Verbesserung der Patientenorientierung in der Gesundheitsversorgung zur Verfügung. Die Befundlage belegt, dass sich die Methode zur Untersuchung patientenorientierter Fragestellungen (mehrheitlich zu Pharmakotherapie und Kombinationsbehandlung) in der Versorgung psychischer Störungen (depressive Störungen, ADHS, Schizophrenie, bipolare Störungen, Tabak- und Alkoholabhängigkeit und chronische Schmerzen) eignet. Allerdings ist der erfolgreiche Einsatz der Methodik an einige Voraussetzungen geknüpft (u. a. Unabhängigkeit der betrachteten Therapiezielaspekte, Designkomplexität). Forschungsbedarf besteht u. a. im Hinblick auf bisher nicht untersuchte Störungsbilder (u. a. somatoforme, Angst-, Ess-, Persönlichkeitsstörungen) und Interventionen (u. a. reine Psychotherapie, störungsspezifische Behandlungen).

Behavioural treatment recommendations in clinical practice guidelines for attention-deficit/hyperactivity disorder: a scoping review

BACKGROUND

The extent of behavioural treatment recommendations described in attention-deficit/hyperactivity disorder (ADHD) practice guidelines has not been examined.

METHOD

A scoping review identified eight agency-based ADHD practice guidelines. Key components of behavioural treatment recommendations were summarized.

RESULTS

All guidelines mentioned behavioural treatment as a consideration for managing ADHD, however, the extent to which they were detailed varied. Most guidelines provided lists of behavioural techniques but with minimal specifics regarding treatment delivery.

CONCLUSIONS

There is far less detailing of behavioural approaches compared to pharmacological treatments for ADHD. Greater detailing of evidence-based behavioural approaches may foster improved delivery of high-quality behaviour treatment.

Discrete choice experiments in health economics: a review of the literature

BACKGROUND

Discrete choice experiments (DCEs) are increasingly used in health economics to address a wide range of health policy-related concerns.

OBJECTIVE

Broadly adopting the methodology of an earlier systematic review of health-related DCEs, which covered the period 2001-2008, we report whether earlier trends continued during 2009-2012.

METHODS

This paper systematically reviews health-related DCEs published between 2009 and 2012, using the same database as the earlier published review (PubMed) to obtain citations, and the same range of search terms.

RESULTS

A total of 179 health-related DCEs for 2009-2012 met the inclusion criteria for the review. We found a continuing trend towards conducting DCEs across a broader range of countries. However, the trend towards including fewer attributes was reversed, whilst the trend towards interview-based DCEs reversed because of increased computer administration. The trend towards using more flexible econometric models, including mixed logit and latent class, has also continued. Reporting of monetary values has fallen compared with earlier periods, but the proportion of studies estimating trade-offs between health outcomes and experience factors, or valuing outcomes in terms of utility scores, has increased, although use of odds ratios and probabilities has declined. The reassuring trend towards the use of more flexible and appropriate DCE designs and econometric methods has been reinforced by the increased use of qualitative methods to inform DCE processes and results. However, qualitative research methods are being used less often to inform attribute selection, which may make DCEs more susceptible to omitted variable bias if the decision framework is not known prior to the research project.

CONCLUSIONS

The use of DCEs in healthcare continues to grow dramatically, as does the scope of applications across an expanding range of countries. There is increasing evidence that more sophisticated approaches to DCE design and analytical techniques are improving the quality of final outputs. That said, recent evidence that the use of qualitative methods to inform attribute selection has declined is of concern.

A descriptive review on methods to prioritize outcomes in a health care context

BACKGROUND

Evidence synthesis has seen major methodological advances in reducing uncertainty and estimating the sizes of the effects. Much less is known about how to assess the relative value of different outcomes.

OBJECTIVE

To identify studies that assessed preferences for outcomes in health conditions.

METHODS

SEARCH STRATEGY

we searched MEDLINE, EMBASE, PsycINFO and the Cochrane Library in February 2014.

INCLUSION CRITERIA

eligible studies investigated preferences of patients, family members, the general population or healthcare professionals for health outcomes. The intention of this review was to include studies which focus on theoretical alternatives; studies which assessed preferences for distinct treatments were excluded.

DATA EXTRACTION

study characteristics as study objective, health condition, participants, elicitation method, and outcomes assessed in the study were extracted.

MAIN RESULTS

One hundred and twenty-four studies were identified and categorized into four groups: (1) multi criteria decision analysis (MCDA) (n = 71), (2) rating or ranking (n = 25), (3) utility eliciting (n = 5) and (4) studies comparing different methods (n = 23). The number of outcomes assessed by method group varied. The comparison of different methods or subgroups within one study often resulted in different hierarchies of outcomes.

CONCLUSIONS

A dominant method most suitable for application in evidence syntheses was not identified. As preferences of patients differ from those of other stakeholders (especially medical professionals), the choice of the group to be questioned is consequential. Further research needs to focus on validity and applicability of the identified methods.

Parent preferences regarding stimulant therapies for ADHD: a comparison across six European countries

The objective is to identify attributes of ADHD stimulant medications that influence treatment preferences of parents of children and adolescents with ADHD across six European countries, using a discrete choice experiment (DCE). Different attributes (and associated levels) of stimulant therapies were identified through literature review and clinician input. Attributes included duration and degree of symptom control after each dose, frequency of medication dosing, potential for treatment to be abused, the side effects of vomiting, loss of appetite, and sleep disturbance. Attributes and levels were combined using an orthogonal design to produce a number of discrete hypothetical treatments. Parents were recruited via patient panels in different countries and asked to complete a survey. DCE data were analyzed using conditional logit models to explore the impact of each attribute on participants' choices. Six hundred individuals (220 parents of adolescents and 380 parents of children) participated. All attributes were significant predictors of choice (p < 0.01). 'Degree of symptom control' was the most important attribute whereby the odds of choosing 'very much improved symptoms' compared with 'minimally improved' was 4.85 [95 % confidence interval (CI) = 4.28-5.49] for the adolescent group and 6.37 (95 % CI = 5.79-7.01) for the child group. Some inter-country differences emerged, e.g., achieving the best degree of symptom control was more important to parents in some countries than others. In conclusion, the study showed that duration and degree of symptom control were the most important aspects of treatment for parents in all countries. The findings revealed cultural differences in the relative importance of attributes.

Amfetamine and methylphenidate medications for attention-deficit/hyperactivity disorder: complementary treatment options

Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders among school-aged children. It is highly symptomatic and associated with significant impairment. This review examines the role of stimulant medications in the treatment of children and adolescents with ADHD. Published clinical studies that compared methylphenidate- and amfetamine-based stimulants in children and adolescents with ADHD support the therapeutic utility of stimulant treatments, and suggest robust efficacy and acceptable safety outcomes in groups treated with either stimulant. Evidence-based guidelines agree that each patient with ADHD is unique and individual treatment strategies that incorporate both drug and non-drug treatment options should be sought. In seeking to optimize individual response and outcomes to stimulant therapy, important considerations include the selection of stimulant class, the choice of long- or short-acting stimulant formulations, addressing effectively any emergent adverse effects and strategies aimed at enhancing adherence to dosing regimen and persistence on therapy.