The Role of Pediatric Sensory Over-responsivity and Anxiety Symptoms in the Development of Family Accommodations.

Sensory over-responsivity (SOR) is linked with elevated anxiety and reduced family wellbeing. Family accommodation of anxiety relates with greater symptom severity and reduced intervention outcome. This study examined the contribution of child SOR and co-occurring anxiety symptoms to family accommodation and its consequences. Ninety families of typically developing children (ages 4-13 years), completed an online survey including the Sensory Profile 2, Screen for Child Anxiety Related Emotional Disorders (SCARED), and Family Accommodation Sensory Scale (FASENS). FASENS scores include frequency of accommodation, child impact, and family impact.Children with elevated anxiety symptoms had significantly higher sensory and FASENS scores. Stepwise linear regression indicated that only SOR symptoms significantly predicted the frequency of sensory family accommodation, while both SOR and anxiety symptoms predicted the impact of family accommodation upon child and family well-being.Both SOR and anxiety symptoms in children predict the impact of sensory family accommodations on child and family well-being.

Promoting Family-Centered Care: A Provider Training Effectiveness Study.

IMPORTANCE: Although family-centered care (FCC) is a best practice in pediatrics, health care providers report challenges in translating FCC from theory to practice. OBJECTIVE: To measure the effectiveness of the Better Together (BT) training to enhance providers' changes in FCC practice and self-efficacy. DESIGN: Pretest-posttest quasi-experimental design. SETTING: Continuing education centers in Israel. PARTICIPANTS: Eighty-two participants-occupational therapists, speech-language pathologists, physical therapists, and art therapists-working in outpatient or school-based pediatric practices. INTERVENTION: We developed BT on the basis of adult learning theory to prepare providers to implement best practices in FCC. The training was delivered as six consecutive in-person workshops (30-hr total over 10 wk). OUTCOMES AND MEASURES: We used the Measure of Processes of Care (MPOC) Service Provider and Confidence versions to measure providers' perceptions of how they used specific aspects of FCC in their practice and their related self-efficacy. RESULTS: Observed changes included improved reports of FCC implementation and increased self-efficacy in all MPOC domains, with medium effect sizes. These outcomes were positively interrelated. Before the training, providers in outpatient settings who had more years of experience reported higher FCC use than less experienced participants in other settings; these differences disappeared by the end of the training. CONCLUSIONS AND RELEVANCE: BT training can enhance health care providers' perceptions of FCC implementation and self-efficacy and minimize differences in FCC implementation by providers across expertise levels and practice settings. This study can inform the development of future FCC training interventions for providers, managers, educators, and researchers. What This Article Adds: Intensive training can improve both the way practitioners work with families and their self-efficacy in doing so. This study highlights the importance of self-efficacy in promoting knowledge translation.

Understanding and Enhancing Occupational Therapists' Use of Standard Family-Centered Measures.

IMPORTANCE: The use of standard family-centered measures (FCMs) is imperative to guide family-centered care (FCC) interventions and monitor their outcomes. OBJECTIVE: To measure the frequency of FCM use and evaluate the effectiveness of experiential learning and reflection to increase their use. DESIGN: Descriptive and two-group pre-post comparative training study. SETTING: Continuing education center. PARTICIPANTS: Phase 1 included 145 health care providers. Phase 2 included 44 school-based occupational therapists who participated in Phase 1. INTERVENTION: Phase 2 participants enrolled in 30-hr FCC training that included a 2-hr workshop on FCM. One group (n = 22) conducted an FCM with a family and wrote a reflective report. OUTCOMES AND MEASURES: All participants completed the Measure of Processes of Care-Service Provider (MPOC-SP) questionnaire and reported how frequently they used FCMs. RESULTS: FCM use rates were low (50%, not at all; 26%, to a very small extent). The extent of FCC was correlated with FCM use (r = .24-.30, p < .01). A Wilcoxon signed-rank test demonstrated that participants who administered an FCM with a family and reflected on this experience showed significant increases (Z = 176.0, p = .001) in FCM use compared with participants who were only instructed about available FCM. A Mann-Whitney U test confirmed the difference (U = 3.54, p = .012). CONCLUSIONS AND RELEVANCE: FCM use is sparse, but experiential and reflective activities are simple keys to promoting FCC and integrating FCM into practice. What This Article Adds: Training designers, educators, and managers should consider integrating experiential learning to enhance providers' expertise and quality of care.

When It's Impossible to Ignore: Development and Validation of the Sensory Habituation Questionnaire.

IMPORTANCE: Sensory overresponsivity (SOR) in adults is frequently overlooked and misdiagnosed. In some cases, the sensory symptoms are attributed to psychopathology or negative emotionality. Developing sound tools for examining various dimensions of sensory overresponsivity in adults, particularly sensitivity versus habituation, can more precisely guide scientific and intervention efforts. OBJECTIVE: To evaluate the psychometric properties, content validity, internal reliability, and construct validity of the new Sensory Habituation Questionnaire. DESIGN: A Classical Test Theory approach and a multitrait-multimethod matrix was used to evaluate the questionnaire's psychometric properties. PARTICIPANTS: A nonclinical sample of 160 adults ages 18-65 yr (mean = 31.85, standard deviation = 10.72); 56.87% were female. MEASURES: Participants completed the Sensory Habituation Questionnaire, Sensory Perception Quotient, Adolescent/Adult Sensory Profile, and the Brief Symptom Inventory. RESULTS: The Sensory Habituation Questionnaire had high internal reliability (α = .88) and was significantly correlated with other standardized SOR questionnaires (rs = .57-.61). In contrast to the Adolescent/Adult Sensory Profile overresponsivity score, the perceptually oriented measures (the Sensory Perception Quotient and the Sensory Habituation Questionnaire) were not associated with the Brief Symptom Inventory. CONCLUSIONS AND RELEVANCE: The Sensory Habituation Questionnaire is a tool that can evaluate the ability to ignore daily sensations independent of psychopathology symptoms. It can guide practitioners and researchers in breaking down the dimensions of SOR. WHAT THIS ARTICLE ADDS: This article introduces a questionnaire for evaluating the rate of sensory habituation in adults, a dimension of SOR that greatly affects daily functioning. The questionnaire is also advantageous in identifying sensory difficulties that differ from psychopathological symptoms. Habituation is a crucial factor to consider in intervention, because it calls for work on the capacity to adjust to bothersome sensations.

Evaluating change: Using the Measure of Processes of Care-Service Provider as an outcome measure for performance and confidence in family-centred care.

BACKGROUND: Family-centred care (FCC) is considered the best practice in paediatric care but it is not always implemented sufficiently. Effective training programmes that enhance health care providers' knowledge and self-efficacy have the potential to improve FCC implementation in their daily practice. The goal of the study was to evaluate the sensitivity of the measure of processes of care (MPOC)-service provider (MPOC-SP) version and MPOC confidence (MPOC-Con) in detecting changes following an FCC training. METHODS: The MPOC-Con was developed for this study as a sequel to MPOC-SP to measure self-efficacy related to specific FCC practices. Twenty-four health care providers (occupational and physical therapists, speech pathologist, and special education teacher) participated in a 6-month FCC provider training. The training included 30 contact hours on FCC principles and techniques through experiential learning, reflective exercises, peer mentoring, and case-study analyses. The MPOC-SP and MPOC-Con were administered preparticipation and postparticipation. RESULTS: Repeated multivariate analysis of variance and reliable change index (RCI) analyses indicated a significant group increase in performance and confidence following the training in two of the four MPOC-SP factors and in all MPOC-Con factors, F(1, 7) = 5.17, P = .003, η2  = .68; RCI > 1.96. Individual change patterns in FCC performance indicated patterns of increased, decreased, or stable performance, with the highest increased performances reported for treating people respectfully (79%) and communicating specific information (71%), mostly stable performance in providing general information (75%) and similar levels of increase and stability (41% and 39%, respectively) for interpersonal sensitivity. The Pearson's correlation between MPOC-SP and MPOC-Con were significant, moderate-strong, and positive (r = .42-.69, P < .05). CONCLUSIONS: The MPOC-SP and the MPOC-Con are sensitive measures suitable for evaluating individual and group changes following training. When designing professional development programmes, managers and educators should consider the interrelation between self-efficacy and implementing acquired knowledge and skills in FCC.

Risk Assessment for Parents Who Suspect Their Child Has Autism Spectrum Disorder: Machine Learning Approach.

BACKGROUND: Parents are likely to seek Web-based communities to verify their suspicions of autism spectrum disorder markers in their child. Automated tools support human decisions in many domains and could therefore potentially support concerned parents. OBJECTIVE: The objective of this study was to test the feasibility of assessing autism spectrum disorder risk in parental concerns from Web-based sources, using automated text analysis tools and minimal standard questioning. METHODS: Participants were 115 parents with concerns regarding their child's social-communication development. Children were 16- to 30-months old, and 57.4% (66/115) had a family history of autism spectrum disorder. Parents reported their concerns online, and completed an autism spectrum disorder-specific screener, the Modified Checklist for Autism in Toddlers-Revised, with Follow-up (M-CHAT-R/F), and a broad developmental screener, the Ages and Stages Questionnaire (ASQ). An algorithm predicted autism spectrum disorder risk using a combination of the parent's text and a single screening question, selected by the algorithm to enhance prediction accuracy. RESULTS: Screening measures identified 58% (67/115) to 88% (101/115) of children at risk for autism spectrum disorder. Children with a family history of autism spectrum disorder were 3 times more likely to show autism spectrum disorder risk on screening measures. The prediction of a child's risk on the ASQ or M-CHAT-R was significantly more accurate when predicted from text combined with an M-CHAT-R question selected (automatically) than from the text alone. The frequently automatically selected M-CHAT-R questions that predicted risk were: following a point, make-believe play, and concern about deafness. CONCLUSIONS: The internet can be harnessed to prescreen for autism spectrum disorder using parental concerns by administering a few standardized screening questions to augment this process.

Sensory over responsivity and obsessive compulsive symptoms: A cluster analysis.

BACKGROUND: Several studies have examined the sensory component in Obsesseive Compulsive Disorder (OCD) and described an OCD subtype which has a unique profile, and that Sensory Phenomena (SP) is a significant component of this subtype. SP has some commonalities with Sensory Over Responsivity (SOR) and might be in part a characteristic of this subtype. Although there are some studies that have examined SOR and its relation to Obsessive Compulsive Symptoms (OCS), literature lacks sufficient data on this interplay. OBJECTIVES: First to further examine the correlations between OCS and SOR, and to explore the correlations between SOR modalities (i.e. smell, touch, etc.) and OCS subscales (i.e. washing, ordering, etc.). Second, to investigate the cluster analysis of SOR and OCS dimensions in adults, that is, to classify the sample using the sensory scores to find whether a sensory OCD subtype can be specified. Our third goal was to explore the psychometric features of a new sensory questionnaire: the Sensory Perception Quotient (SPQ). METHOD: A sample of non clinical adults (n=350) was recruited via e-mail, social media and social networks. Participants completed questionnaires for measuring SOR, OCS, and anxiety. RESULTS: SOR and OCI-F scores were moderately significantly correlated (n=274), significant correlations between all SOR modalities and OCS subscales were found with no specific higher correlation between one modality to one OCS subscale. Cluster analysis revealed four distinct clusters: (1) No OC and SOR symptoms (NONE; n=100), (2) High OC and SOR symptoms (BOTH; n=28), (3) Moderate OC symptoms (OCS; n=63), (4) Moderate SOR symptoms (SOR; n=83). The BOTH cluster had significantly higher anxiety levels than the other clusters, and shared OC subscales scores with the OCS cluster. The BOTH cluster also reported higher SOR scores across tactile, vision, taste and olfactory modalities. The SPQ was found reliable and suitable to detect SOR, the sample SPQ scores was normally distributed (n=350). CONCLUSIONS: SOR is a dimensional feature that can influence the severity of OCS and may characterize a unique sensory OCD subtype.

Online Concerns of Parents Suspecting Autism Spectrum Disorder in Their Child: Content Analysis of Signs and Automated Prediction of Risk.

BACKGROUND: Online communities are used as platforms by parents to verify developmental and health concerns related to their child. The increasing public awareness of autism spectrum disorders (ASD) leads more parents to suspect ASD in their child. Early identification of ASD is important for early intervention. OBJECTIVE: To characterize the symptoms mentioned in online queries posed by parents who suspect that their child might have ASD and determine whether they are age-specific. To test the efficacy of machine learning tools in classifying the child's risk of ASD based on the parent's narrative. METHODS: To this end, we analyzed online queries posed by parents who were concerned that their child might have ASD and categorized the warning signs they mentioned according to ASD-specific and non-ASD-specific domains. We then used the data to test the efficacy with which a trained machine learning tool classified the degree of ASD risk. Yahoo Answers, a social site for posting queries and finding answers, was mined for queries of parents asking the community whether their child has ASD. A total of 195 queries were sampled for this study (mean child age=38.0 months; 84.7% [160/189] boys). Content text analysis of the queries aimed to categorize the types of symptoms described and obtain clinical judgment of the child's ASD-risk level. RESULTS: Concerns related to repetitive and restricted behaviors and interests (RRBI) were the most prevalent (75.4%, 147/195), followed by concerns related to language (61.5%, 120/195) and emotional markers (50.3%, 98/195). Of the 195 queries, 18.5% (36/195) were rated by clinical experts as low-risk, 30.8% (60/195) as medium-risk, and 50.8% (99/195) as high-risk. Risk groups differed significantly (P<.001) in the rate of concerns in the language, social, communication, and RRBI domains. When testing whether an automatic classifier (decision tree) could predict if a query was medium- or high-risk based on the text of the query and the coded symptoms, performance reached an area under the receiver operating curve (ROC) curve of 0.67 (CI 95% 0.50-0.78), whereas predicting from the text and the coded signs resulted in an area under the curve of 0.82 (0.80-0.86). CONCLUSIONS: Findings call for health care providers to closely listen to parental ASD-related concerns, as recommended by screening guidelines. They also demonstrate the need for Internet-based screening systems that utilize parents' narratives using a decision tree questioning method.

Feasibility and validity of early screening for identifying infants with poor social-communication development in a well-baby clinic system.

UNLABELLED: This study examined the feasibility and validity of implementing an autism spectrum disorders (ASD) screening for 12-month-old infants. METHOD: Parents of 583 infants, 12months of age attending well baby clinics (WBCs), completed the First Year Inventory-Lite (FYI-L). Ten infants who failed the FYI-L and a subset of 12 infants who passed the identified FYI-L were evaluated using the Autism Observation Scale for Infants (AOSI) and the Mullen Scales of Early Learning. Information regarding social-communication development ≥24months of age was extracted from medical records of 153 of the 583 infants. RESULTS: Mean response rate across clinics was 26.63%. Infants at risk compared to controls showed significantly higher scores on the AOSI, lower composite scores on the MSEL, and a higher rate of referral for a developmental evaluation. At 24months, 95% of infants who were negatively screened had no social-communication problems on their medical records; 60% of those who were screened positive had documented problems on medical records. CONCLUSION: ASD screening using the FYI-L at 12months in a healthcare setting identifies infants with poor social-communication development, yet parents had low compliance with screening.

Early developmental milestone clusters of autistic children based on electronic health records.

Autistic children vary in symptoms, co-morbidities, and response to interventions. This study aimed to identify clusters of autistic children with a distinct pattern of attaining early developmental milestones (EDMs). The clustering of 5836 autistic children was based on the attainment of 43 gross motor, fine motor, language, and social developmental milestones during the first 3 years of life as recorded in baby wellness visits. K-means cluster analysis detected four EDM clusters: mild (n = 1686); moderate (n = 1691); severe (n = 2265); and global (n = 194). The most prominent cluster differences were in the language domain. The global cluster showed earlier and greater developmental delay across domains, unique early gross motor delays, and more were born preterm via cesarean section. The severe cluster had poor language development prominently in the second year of life, and later fine motor delays. Moderate cluster had mainly language delays in the third year of life. The mild cluster mostly passed milestones. EDM clusters differed demographically, with higher socioeconomic status in mild cluster and lowest in global cluster. However, the severe cluster had more immigrant and non-Jewish mothers followed by the moderate cluster. The rates of parental concerns and provider developmental referrals were significantly higher in the global, followed by the severe, moderate, and mild EDM clusters. Autistic children's language and motor delay in the first 3 years can be grouped by common magnitude and onset profiles as distinct groups that may link to specific etiologies (like prematurity or genetics) and specific intervention programs. Early autism screening should be tailored to these different developmental profiles.

A Prediction Model of Autism Spectrum Diagnosis from Well-Baby Electronic Data Using Machine Learning.

Early detection of autism spectrum disorder (ASD) is crucial for timely intervention, yet diagnosis typically occurs after age three. This study aimed to develop a machine learning model to predict ASD diagnosis using infants' electronic health records obtained through a national screening program and evaluate its accuracy. A retrospective cohort study analyzed health records of 780,610 children, including 1163 with ASD diagnoses. Data encompassed birth parameters, growth metrics, developmental milestones, and familial and post-natal variables from routine wellness visits within the first two years. Using a gradient boosting model with 3-fold cross-validation, 100 parameters predicted ASD diagnosis with an average area under the ROC curve of 0.86 (SD < 0.002). Feature importance was quantified using the Shapley Additive explanation tool. The model identified a high-risk group with a 4.3-fold higher ASD incidence (0.006) compared to the cohort (0.001). Key predictors included failing six milestones in language, social, and fine motor domains during the second year, male gender, parental developmental concerns, non-nursing, older maternal age, lower gestational age, and atypical growth percentiles. Machine learning algorithms capitalizing on preventative care electronic health records can facilitate ASD screening considering complex relations between familial and birth factors, post-natal growth, developmental parameters, and parent concern.

Predicting autism traits from baby wellness records: A machine learning approach.

LAY ABSTRACT: Timely identification of autism spectrum conditions is a necessity to enable children to receive the most benefit from early interventions. Emerging technological advancements provide avenues for detecting subtle, early indicators of autism from routinely collected health information. This study tested a model that provides a likelihood score for autism diagnosis from baby wellness visit records collected during the first 2 years of life. It included records of 591,989 non-autistic children and 12,846 children with autism. The model identified two-thirds of the autism spectrum condition group (boys 63% and girls 66%). Sex-specific models had several predictive features in common. These included language development, fine motor skills, and social milestones from visits at 12-24 months, mother's age, and lower initial growth but higher last growth measurements. Parental concerns about development or hearing impairment were other predictors. The models differed in other growth measurements and birth parameters. These models can support the detection of early signs of autism in girls and boys by using information routinely recorded during the first 2 years of life.

Early childhood tracking application: Correspondence between crowd-based developmental percentiles and clinical tools.

Barriers to child developmental screening lead to delayed diagnosis and intervention. babyTRACKS, a mobile application for tracking developmental milestones, presents parents their child's percentiles computed relative to crowd-based data. This study evaluated correspondence between crowd-based percentiles and traditional development measures. Research analyzed babyTRACKS diaries of 1951 children. Parents recorded attainment age for milestones across Gross Motor, Fine Motor, Language, Cognitive, and Social domains. Fifty-seven parents completed the Ages and Stages Questionnaire (ASQ-3), and 13 families participated in the Mullen Scales of Early Learning (MSEL) expert assessment. Crowd-based percentiles were compared with: Centers for Disease Control (CDC) norms for comparable milestones, ASQ-3 and MSEL scores. babyTRACKS percentiles correlated with the percentage of unmet CDC milestones, and with higher ASQ-3 and MSEL scores across several domains. Children who did not meet CDC age thresholds had lower babyTRACKS percentiles by about 20 points and those at ASQ-3 risk had lower babyTRACKS Fine Motor and Language scores. Repeated measures tests showed significantly higher MSEL versus babyTRACKS percentiles in the Language domain. Although ages and milestones in diary varied, the app percentiles corresponded with traditional measures, particularly in fine motor and language domains. Future research is needed for determining referral thresholds while minimizing false alarms.

Family Accommodation Scale for Sensory Over-Responsivity: A Measure Development Study.

Family accommodation refers to the attempt of family members (most often parents) to prevent their child's distress related to psychopathology. Family accommodation can limit meaningful participation in personal and social routines and activities. Accommodation has been studied extensively in the context of childhood anxiety and has been linked to greater impairment, and poor intervention outcomes. Like anxiety, sensory over-responsivity (SOR) symptoms are associated with heightened distress and thus, may also be accommodated by family members. The current study describes the validation of a new pediatric family accommodation scale for SOR. Parents of 301 children ages 3-13 years completed an online survey, of which 48 had medical or developmental conditions. The survey included the Child Sensory Profile 2 and the newly developed family accommodation scale for sensory over-responsivity (FASENS). Three Sensory Profile 2 scores were analyzed: SOR, sensory under-responsivity and sensory seeking. The FASENS consists of 18 items; 12 describing the frequency of accommodation behaviors and 6 describing the impact of the accommodation on the wellbeing of the family and the child. Results indicated that the FASENS has high internal consistency (α = 0.94) as well as a significant 3-factor confirmatory model fit: (1) accommodations (i.e., avoidance and changes), (2) family impact, and (3) child impact. FASENS scores significantly correlated with SOR symptoms (r = 0.52-0.60, p < 0.001). However, they also correlated with under-responsivity and seeking (r = 0.33-0.42, p < 0.001). Parents of children with health conditions reported significantly higher FASENS scores (p < 0.002), which corresponded with their child's significantly higher sensory scores (p < 0.001). Family accommodations for SOR occur to some extent in the general population, but their prevalence and impact are significantly greater when the child has a health condition, in addition to SOR. Additional research is needed to explore whether these accommodations are adaptive and whether families and children would benefit from learning to reduce them, as with anxiety.

The feasibility of a crowd-based early developmental milestone tracking application.

OBJECTIVE: Parents' tracking of developmental milestones can assist healthcare providers with early detection of developmental delays and appropriate referrals to early intervention. Crowdsourcing is one way to update the content and age data distribution of developmental checklists for parents and providers. This feasibility study examined which developmental milestones parents chose to track and what they added beyond traditional milestones, using the babyTRACKS crowd-based mobile app. METHOD: We analyzed the developmental diaries of 3,832 children, registered in the babyTRACKS app at an average age of 9.3 months. Their parents recorded a median of 5 milestones per diary, selecting from the accumulating lists of age-appropriate milestones or authoring new milestones. The final database included 645 types of milestones; 89.15% were developmental, of which 43.6% were comparable to the Centers for Disease Control (CDC) milestones while the rest were crowd-authored. Milestones were categorized into developmental domains: Gross Motor, Fine Motor, Oral Motor, Self-Care, Cognitive, Language Comprehension, Speech, Non-Verbal Communication, Social, Emotional, and Regulation. RESULTS: On average, the milestone domains of Gross Motor, Fine Motor, Cognitive and Social were the most added to diaries (20%-30% of a diary). Within the Cognitive, Speech and Language Comprehension domains there were significantly more CDC comparable versus crowd-authored milestones (29% versus 21%, 22% versus 10%, 8% versus 4%). In contrast, within the Regulation and Oral Motor domains there were more crowd versus CDC milestones (17% versus 3%, 9% versus 3%). Crowd-authored Speech milestones were significantly older by 7 months than CDC milestones. CONCLUSION: Tracking daily observations of child development provides a window into personally relevant milestones for the child and parent. The crowd of parents can independently track and add new milestones across main developmental domains. Regulation and Oral Motor development especially interest parents. Parents may be less aware of early progress in Language Comprehension and Speech; thus, these domains require more structured screening. Designing mobile early screening which is crowd-based engages parents as proactive partners in developmental tracking.

Sensory over-responsivity and obsessive-compulsive disorder: Measuring habituation and sensitivity through self-report, physiological and behavioral indices.

Individuals with obsessive-compulsive disorder (OCD) may report Sensory Over Responsivity (SOR), but evidence for specific shared mechanism is limited. This study investigated a habituation-sensitivity mechanism in individuals with OCD (n = 30). Sensory habituation and sensitivity were compared with a neurotypical sample, divided to high (n = 30) and low (n = 30) obsessive-compulsive symptoms (HOCS and LOCS). Participants completed self-report sensory questionnaires and a physiological protocol measuring Electro Dermal Activity (EDA) while presenting aversive and neutral sounds in two conditions: Aversive stimuli followed by neutral stimuli (AVfirst), or neutral stimuli followed by aversive stimuli (NEfirst). In addition, participants could shorten the stimulus duration by pressing a key. LOCS differed from HOCS and OCD in most sensory self-report scores, with no significant difference between OCD and HOCS. HOCS had no significant differences in habituation patterns across conditions, while OCD had no differences in habituation patterns in AVfirst (p = .08) but significantly slower habituation patterns to the NEfirst neutral stimuli (p < .001). Condition order determined sensitivity for LOCS (AVfirst p = .017; NEfirst p = .045) but not for OCD and HOCS. HOCS and OCD shortened aversive stimuli by key pressing more than LOCS, with no significant difference between OCD and HOCS. The habituation process of individuals with OCD and HOCS was more influenced by stimulus type than by condition order, which might be due to a cognitive bias of prediction. Individuals with elevated OCS have difficulty relying upon sensory input to respond adaptively to the environment. This process can explain the avoidant behavior and complains of individuals with OCD not being able to ignore and to habituate to the sensory environment. These evidence warrants design of psychoeducation and intervention methods for relying on prior sensory information to improve functioning in individuals with OCD and SOR.

Parents' search for evidence-based practice: a personal story.

Many clients engage in an intense search for evidence related to the diagnosis, prognosis and intervention options of their (or their dependent's) health condition. A client-based search for evidence poses challenges from a client and clinician perspective and evolves the client-clinician relationship. This paper describes the meaning of searching for health evidence by health-care clients such as parents of hospitalised children through a personal story. I discuss the subjective search for evidence-based health information, interpretation and transfer of information as well as its impact on providers. In order to implement client-centred care and evidence-based practice health care organisations and providers need to take an active role in guiding clients in effective health information-seeking behaviour and to develop mechanisms for processing evidence presented by clients.

Corrigendum: Sensory Habituation as a Shared Mechanism for Sensory Over-Responsivity and Obsessive-Compulsive Symptoms.

[This corrects the article DOI: 10.3389/fnint.2020.00017.].

Sensory Habituation as a Shared Mechanism for Sensory Over-Responsivity and Obsessive-Compulsive Symptoms.

Background: Some individuals who suffer from obsessive-compulsive (OC) disorder (OCD), report disturbing sensory preoccupations. The inability to stop obsessing over stimuli resonates with a difficulty in sensory habituation. Impaired sensory habituation, to a degree that clearly dysregulates response to sensory stimuli, and impairs participation in everyday activities, can be part of a disorder known as sensory over-responsivity (SOR). Although previous studies indicated a correlation between OCD and SOR, physiological experiments show that individuals with OCD are not more sensitive to sensory stimuli than controls. In the current study, we (1) validated a sensory habituation psycho-physiological protocol and (2) tested whether a "slow to habituate" mechanism can explain the occurrence of elevated SOR and OC symptoms. Methods: We designed a protocol to test auditory sensory habituation through electrodermal activity (EDA) recording. The protocol included two randomly ordered aversive and neutral sound conditions; each set of six everyday life sounds was presented as a continuous stimulus. During the presentation of sounds, EDA was measured and participants could press a button to shorten the stimuli. Participants also completed sensory and OC symptom questionnaires. Participants included 100 typically developing adults that were divided into high versus low OC symptom groups. Mixed models analysis was used throughout to meet the need for capturing the temporal nature of habituation. Results: Distinct physiological indices were computed to measure sensitivity versus habituation. Habituation was slower in the aversive versus neutral condition. Sensitivity was higher for the aversive stimuli. Self-report of sensory habituation and sensitivity partially correlated with the physiological habituation indices. A comparison of the physiological pattern between those with high versus low OC symptoms revealed significant differences in the habituation and sensitivity indices, across conditions. Conclusion: The interplay between SOR and OC symptoms can be explained by a "slow to habituate" mechanism. Identifying behavioral and physiological markers of sensory problems in OCD is important for assessment, intervention and the discovery of underlying mechanisms.

A meta-analysis of sensory modulation symptoms in individuals with autism spectrum disorders.

Sensory modulation symptoms are common in persons with autism spectrum disorders (ASD); however have a heterogeneous presentation. Results from 14 studies indicated a significant high difference between ASD and typical groups in the presence/frequency of sensory symptoms, with the greatest difference in under-responsivity, followed by over-responsivity and sensation seeking. Three moderators that reduced the variability in findings among studies were: chronological age, severity of autism, and type of control group. Sensory differences were highest for studies of children ages 6-9 years, samples with more than 80% with an autism diagnosis, and compared to a CA matched versus a MA or DD matched group. It is important to consider these moderators in the design of studies and interventions addressing sensory symptoms.