PLAY Project Home Consultation Intervention Program for Young Children With Autism Spectrum Disorders: A Randomized Controlled Trial

Solomon, Richard MD*; Van Egeren, Laurie A. PhD; Mahoney, Gerald PhD; Quon Huber, Melissa S. PhD; Zimmerman, Perri MBA*

Journal of Developmental & Behavioral Pediatrics:
doi: 10.1097/DBP.0000000000000096
Original Article

Objective: To evaluate the effectiveness of the Play and Language for Autistic Youngsters (PLAY) Project Home Consultation model, in combination with usual community services (CS), to improve parent-child interaction, child development, and autism symptomatology in young children with autism spectrum disorders (ASDs) compared with CS only.

Methods: Children (N = 128) with autism or PDD-NOS (DSM-4 criteria) aged 2 years 8 months to 5 years 11 months and recruited from 5 disability agencies in 4 US states were randomized in two 1-year cohorts. Using videotape and written feedback within a developmental framework, PLAY consultants coached caregivers monthly for 12 months to improve caregiver-child interaction. CS included speech/language and occupational therapy and public education services. Primary outcomes included change in parent-child interactions, language and development, and autism-related diagnostic category/symptoms. Secondary outcomes included parent stress and depression and home consultant fidelity. Data were collected pre- and post-intervention.

Results: Using intent-to-treat analysis (ITT), large treatment effects were evident for parent and child interactional behaviors on the Maternal and Child Behavior Rating Scales. Child language and developmental quotient did not differ over time by group, although functional development improved significantly. PLAY children improved in diagnostic categories on the Autism Diagnostic Observation Schedule (ADOS). PLAY caregivers' stress did not increase, and depressive symptomatology decreased. Home consultants administered the intervention with fidelity.

Conclusions: PLAY intervention demonstrated substantial changes in parent-child interaction without increasing parents' stress/depression. ADOS findings must be interpreted cautiously because results do not align with clinical experience. PLAY offers communities a relatively inexpensive effective intervention for children with ASD and their parents.

Author Information

*Ann Arbor Center for Developmental and Behavioral Pediatrics, Ann Arbor, MI;

Community Evaluation and Research Collaborative, Office of University Outreach and Engagement, Michigan State University, East Lansing, MI;

Center on Intervention for Children and Families, Mandel School of Applied Social Sciences, Case Western Reserve University, Cleveland, OH.

Address for reprints: Richard Solomon, MD, Ann Arbor Center for Developmental and Behavioral Pediatrics, 2930 Parkridge Dr, Ann Arbor, MI 48103; e-mail:

This investigation was supported by National Institute of Mental Health (NIMH) and Small Business Innovation Research (SBIR) grant (grant# 2 R44 MH078431-02A1).

Disclosure: Small Business Innovation Research (SBIR) grants, sponsored by the NIMH, are administered through business entities to support research in technological innovation and dissemination. Therefore, all SBIR principle investigators if they are directly involved in the grant have a financial conflict of interest. R. Solomon, the principle investigator of the study, was involved in the design of the study, wrote the first draft of the manuscript and was involved in the decision to submit the article. To limit his bias, R. Solomon was assiduously excluded from evaluation of outcomes, data collection, or data analysis, all of which were done independently at Michigan State University under the auspices of L. A. Van Egeren, a senior level researcher and director of the Community Evaluation and Research Collaborative. The only involvement with data occurred when the data collected at Easter Seals sites were deidentified at the “central office” in Ann Arbor and sent on to Michigan State University for analysis. R. Solomon received no other funds outside of the grant (such as honoraria, consultant fees, etc) before or during the grant. G. Mahoney received a fee for consulting as an original part of the grant protocol. The remaining authors declare no conflict of interest.

Clinical Trials Registry number: NCT01768806.

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial No Derivatives 3.0 License, where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially.

Received February , 2014

Accepted July , 2014

Article Outline

Autism spectrum disorders (ASDs), characterized by social communication deficits and repetitive/restrictive patterns of behavior,1 affect 1 in 68 children.2 Prognosis is often poor with high economic costs for families and society.3–5 Better developmental outcomes are associated with early intensive intervention.3 Prognosis improves when children initially demonstrate functional play abilities, higher cognitive abilities, and less initial severity.3,5,6 The National Research Council recommends engaging, intensive (15–25 hr/wk, high teacher to pupil ratio), early (18 mo–5 yr) intervention that addresses the comprehensive needs of children with ASD.7

Most states in the United States that mandate autism intervention by law require applied behavioral analysis methods,8 which are based on operant conditioning.5,9 Behavioral intervention is effective but very expensive ($30–$60,000 per year per child), difficult to administer and sustain, and there is a shortage of trained personnel.10 Despite legal mandates, too many young children with ASD are not receiving needed early intervention services.10–13 Effective, less expensive, and more easily disseminated models are needed. Furthermore, with few exceptions, behavioral research on ASD has largely focused on language and cognition as primary outcomes.5,14,15 With the recent DSM-5 focus on social impairment,1 research that emphasizes social reciprocity is needed.

Parent-mediated interventions16–26 often focus on social reciprocity. They are typically much less costly, more easily implemented, and could offer an important alternative or complement to professionally delivered interventions if they were shown to be effective. Recently parent-mediated programs for ASD have been recognized as evidence-based.16 In these programs, professionals train parents one-on-one or in group formats in home or community settings with methods that may include didactic instruction, discussion, modeling, coaching, or performance feedback. Once trained, parents implement all or part of the intervention(s) with their child.16 A majority of parent-mediated models emphasize social reciprocity and/or improvement in developmental measures.17–26

A recent review of rigorously designed parent-mediated interventions for young children with ASD17 found strong evidence for improvement in short-term parent-child interaction but less robust evidence for longer term effects on language, IQ, and core autism symptoms. Only 3 studies were a year-long or longer. None of the larger longer studies showed objective changes in autism severity/symptomatology by using such measures as the Autism Diagnostic Observation Schedule.17,19,23 The review emphasized the need for parent-mediated programs to monitor parent stress. They concluded that high-quality randomized controlled trials (RCTs) were still needed.

In this article, we present results from a RCT of the Play and Language for Autistic Youngsters (PLAY) Project Home Consultation program for young children with ASD (using DSM-4 criteria27). PLAY is parent-mediated, developmental, and focused on social reciprocity.28 PLAY is based on Greenspan and Wieder's29 developmental, individual differences, and relationship-based (DIR) theoretical framework. Greenspan's “affect diathesis hypothesis” maintains that when dyadic interaction is contingent, reciprocal, and affectively laden (i.e., enjoyable), the child's diathesis/inherent tendency is to progress through a series of increasingly functional (i.e., socially competent) developmental levels. PLAY operationalizes DIR through a structured approach that includes coaching, modeling, and video feedback. PLAY consultants make monthly 3-hour home visits; a 15-minute video of representative play interactions is recorded and analyzed. This analysis includes a written “PLAY Plan” describing methods, techniques, and activities that fosters parents' interactional abilities and play skills to promote their children's functional development.

PLAY addresses National Research Council recommendations for intensity by supporting parents in engaging their children for a minimum of 2 hours/day (15 hr/wk) in addition to usual community services. It was hypothesized that, compared with a control group, PLAY parents would improve in their interaction skills that would result in concomitant improvements in their children's interaction skills, language, development, and autism symptomatology.

Caregivers of children with ASD are at high risk for clinical levels of stress and depression.30–32 Both parenting stress and depression are associated with the demands of caring for a child with ASD.32 Since PLAY places more demands on caregivers, it was hypothesized that PLAY parents would experience more stress and depression than control parents. Finally, we assessed whether PLAY consultants showed fidelity to the model. This is an important outcome given that the intervention was conducted across multiple sites with multiple providers.

Back to Top | Article Outline


Study Design and Participants

Michigan State University's (MSU) Institutional Review Board (IRB) approved the study. The Community Evaluation and Research Collaborative at MSU served as the study's independent evaluation team. The study was funded through the National Institute of Mental Health (NIMH) Small Business Innovation Research (SBIR) grant and registered with An NIMH SBIR grant funded an initial feasibility study in 2006–2008, implementing the same process and most of the same measures.33

Back to Top | Article Outline
Power Analysis

To identify the appropriate size for recruitment, power analysis was conducted based on the results from the feasibility study and comparable studies.19,34,35 Sample sizes needed to achieve power set at 0.8 with levels (Type I error) set at 0.05, accounting for correlated measures in a repeated measures analysis of variance (ANOVA) design testing a within- or between-subject treatment interaction (time × group) were Maternal Behavior Rating Scale (MBRS): responsiveness (d = 0.8), required N = 52; and achievement (d = 0.43), required N = 172; Parent-Child Interaction's Child Communication Acts (d = 0.73), required N = 62; MacArthur Communicative Development Inventory's (MCDI) language comprehension (d = 0.67), required N = 72; and expressive vocabulary (d = 0.40), required N = 200. To determine the final recruitment target, we considered (1) the range of required N identified through these power estimates, (2) capacity per site to recruit and serve study children, (3) the study cost per site and per child, and (4) the variability evidenced in severity, demographic characteristics, and outcomes. The final recruitment target for analysis was 96 children, 19 per site for the 5 sites after accounting for estimated attrition. After oversampling for an estimate of 20% attrition, the final recruitment target was 120, 60 per group/cohort (12 per site, with 6 per site receiving PLAY therapy).

Families were recruited from April 2010 to June 2012 through local physician offices in 5 cities (Detroit, MI; Peoria and Bloomington, IL; Billings, MT; and Evansville, IN) and referred for enrollment to Easter Seals sites in those cities, respectively. Easter Seals (ES) is a national, private, nonprofit, disability service agency. Two consecutive cohorts participated for 1 year each. Inclusion criteria were age 3.0 to 5.11 years (actual 2 yr 8 mo–5 yr 11 mo) at the time of intervention and previous clinical diagnosis of autism spectrum disorder (ASD) according to DSM-427 criteria (i.e., autism vs PDD NOS) and meeting criteria for autism or ASD on the Autism Diagnostic Observation Schedule (ADOS)36,37 and Social Communication Questionnaire (SCQ).38 Exclusion criteria included a diagnosis of Asperger syndrome, genetic disorders, severe medical conditions, a parent with severe psychiatric disorder or cognitive impairment, and/or families in which English was not the primary language. The Peabody Picture Vocabulary Test—Fourth Edition39 was used to screen parents for cognitive functioning that would permit understanding of the intervention processes with a minimum requirement of sixth-grade vocabulary. ES administrators obtained written informed consent. Of the 148 families screened, 128 met criteria and chose to participate (Fig. 1).

Research risks related to privacy of research data (e.g., videos, health information, etc) were addressed through the original application and the MSU IRB. Other risks included the need for appropriate clinical support during the research time frame, which was supplied through ES. Parent stress and depression were measured both before and after and monitored clinically. Families were expressly allowed to obtain other interventions at any time during the research time frame.

Table 1 displays child and family demographic characteristics by group. At baseline, children's average age was around 50 months (range, 32–71 mo). In accordance with the prevalence of autism, the majority of children were male. About one quarter of children were African-American, Asian, and/or Hispanic. Most of them were from 2-parent families, and more than half reported family incomes less than $60,000 (US median income in 2011 was $51,100). Most primary parents (responsible for participating in the intervention) were mothers. About half of the primary parents had a bachelor's degree.

Back to Top | Article Outline

Deidentified demographic and diagnostic data for enrolled families were sent to the MSU research team for randomization to usual community services (CS) intervention or PLAY plus CS. Randomization was computer-generated and occurred within sites using a matched pair design with primary blocking variables of age (younger than 4.49 yr vs 4.5 yr or older), ADOS-related autism categories (autism vs autism spectrum), and child's gender. Each group was allocated 64 families. PLAY and CS groups did not differ significantly on any demographic or outcome variables. Retention rate was 89.0% of PLAY families and 85.9% of control families for a total of 112 families. Retained and nonretained families did not differ significantly on demographic or outcome variables.

Back to Top | Article Outline

The PLAY Project Home Consultation (PLAY) program is a well-established clinical model.28 Since 2001, the PLAY Project training program has trained hundreds of masters/doctoral level consultants (SLP, OTs, MEd, PhD, and MD) reaching over a 1000 children nationally with dissemination in 27 states. PLAY typically supplements existing services (e.g., special education, language and occupational therapies, and/or applied behavioral analysis/behavioral interventions) but has been implemented as a primary intervention for ASD in early intervention settings. The average cost of PLAY is between $3500 and $4500 per year per child.

Back to Top | Article Outline
Treatment Group

In this study, 6 PLAY consultants (1 occupational therapist, 2 speech and language therapists, and 3 special educators) were employed at the 5 ES study sites and had 2 to 5 years experience as PLAY consultants. All had been trained to certification by attending a 4-day training seminar followed by 12 to 18 months of supervision. Supervision involved submitting 20 video write-ups based on their clinical caseload to PLAY Project supervisors who evaluated their write-ups according to the PLAY Project fidelity manual.

PLAY services consisted of a 3-hour monthly home visit for 12 months (mean visits = 10.52; SD = 3.01). One week before the first visit, parents were encouraged (but not required) to review the PLAY Project DVD and written orientation materials. The 2-hour DVD introduced the parents to PLAY principles, methods, activities, and techniques through PowerPoint lecture slides combined with video examples. Written orientation materials (about 20 pages in total) described in detail the 6 functional developmental levels (FDLs) of Greenspan and Wieder's29 developmental, individual differences, and relationship-based theoretical framework (see FEAS measure below) and provided descriptions and dozens of examples of PLAY techniques and activities based on the FDLs.

During the visits, the primary caregiver providing the majority of play interaction was targeted for instruction, but all caregivers were welcomed to attend monthly sessions. Consultants trained caregivers/parents through coaching, modeling, and video feedback. During coaching, consultants helped parents identify their child's subtle and hard to detect cues, respond contingently to the child's intentions, and effectively engage the child in reciprocal exchanges. Parents were taught to provide appropriate developmental challenges to promote progress in the child's FDLs.29 During modeling, consultants played for 15 to 30 minutes with the child to demonstrate PLAY methods and techniques. During video feedback, the home consultant obtained a 10-minute representative sample of parent play, and the parent obtained a 5-minute representative sample of the home consultant modeling. A written analysis of the video, sent between visits, reviewed the parent-child and consultant-child video interactions, summarized the child's developmental profile, and recommended methods and techniques. The program was revised to address the child's evolving developmental profile. For example, as children became easier to engage, the intervention emphasized increasing the length of engagement, waiting for more initiation, and expecting more reciprocal social exchanges, thus increasing the complexity of interaction and helping the child move up FDLs. Consultants were available between visits as needed by e-mail or phone. Families were encouraged to engage their child in 15- to 20-minute play sessions and throughout daily for a total of 2 hours/day.

Back to Top | Article Outline
Control Group

Usual CS included special education public preschool services for 3 to 5 year olds that were free, typically composed of 4 to 5 half days of educational services and readily available in each of the study communities. The amount of these services was not consistently documented by parent report. Parents did report that on an average, they obtained approximately 100 hours/year (or approximately 2 hr/wk) of private speech and language therapies. After randomization, 2 families from the CS group chose to pay for PLAY services rather than participating in the control group and left the study.

Back to Top | Article Outline

Measures were collected before randomization and 12 months after PLAY intervention began. Easter Seals (ES) site administrators collected demographic data for the child and family at the screening visit. ADOS evaluators were trained to research reliability. The ADOS and Mullen were administered in ES offices, and evaluators were blinded as to intervention status. Other parent-report measures were completed by parents in the home, collected, and reviewed for accuracy at ES offices. ES management and staff were trained according to training manuals by the central administrative office in Ann Arbor to use the various evaluation instruments. All interactional observation measures were video-recorded in the home, then scored by raters blinded to group, and time assignment. Each measure was deidentified and copied at the grant's central administrative office before being sent to MSU for data analysis. All measures were prespecified by grant aims according to the original NIMH grant protocol.

Back to Top | Article Outline
Intervention Hours

Parents completed monthly logs of time spent using PLAY and other types of interventions. Consultants collected logs at the PLAY home visit. Participation in other intensive interventions (i.e., at least 10 hr/wk) made families ineligible because of the potential confound with PLAY; 1 family from each group was removed for this reason.

Back to Top | Article Outline
Autism Diagnosis and Symptoms

The ADOS-generic37 (ADOS-G) assesses social and communication behaviors representing ASD and was administered by independent assessors in ES offices. Assessors administered either Module 1 for children with little or no phrase speech or Module 2 for children who used phrase speech but did not speak fluently. Seventy participants were administered ADOS Module 1, and 26 participants were administered Module 2 at both pretest and posttest. The remaining 16 participants were administered Module 1 at pretest and Module 2 at posttest. Diagnostic classifications were based on research-derived cut points,36 listed from the most to the least severe for autism, ASD, or no autism diagnosis (After pretest data collection on the ADOS-G, the revised ADOS-2 instrument was published.40 This version includes an algorithm for a continuous calibrated severity score [CSS]. Since initial randomization was done using diagnosis from the original ADOS algorithms, replacing ADOS-G scoring with CSS algorithms resulted in participants being in different diagnostic groups for randomization or disqualifying them from the study, which would have invalidated the initial randomization. Thus, the continuous scores could not be used). At baseline, all children received ADOS classifications for either autism or ASD.

Parents also completed the SCQ,38 a 40-item Yes/No measure of communication and social functioning that aims to identify behaviors that would be rare in unaffected individuals (α = .79 at baseline and .85 at follow-up).

Back to Top | Article Outline
Parent and Child Interactions

The MBRS41 and Child Behavior Rating Scale (CBRS)42 assessed parent and child interactional behaviors, respectively. Parent-child play with toys in the home was video-recorded for 7.5 minutes at pre- and post-assessment and coded by raters blind to group allocation and assessment time. Items were coded on a scale of 1 (none to minimal use of the interactive dimension) to 5 (high to continuous use of the interactive dimension). The MBRS assesses 4 interactive style dimensions: Responsive/Child Oriented (3 items, α = .87 at baseline and .91 at follow-up), Affect/Animation (5 items, α = .85 at baseline and .89 at follow-up), Achievement Orientation (2 items, α = .22 at baseline and .58 at follow-up), and Directiveness (2 items, α = .64 at baseline and .53 at follow-up). The CBRS is composed of 7 items, which assesses 2 interactive style dimensions for children: Attention (4 items, α = .88 at baseline and .89 at follow-up) and Initiation (3 items, α = .70 at baseline and .83 at follow-up). Interrater reliability was assessed through intraclass correlations (ICCs) for 20% of videos randomly selected and distributed over the time of the study. ICCs were moderate43; ICCs for MBRS were .64 for Responsiveness/Child Oriented, .70 for Affect/Animation, .73 for Achievement Orientation, and .61 for Directiveness, and ICCs for CBRS scales were .75 for Attention and .77 for Initiation.

Back to Top | Article Outline
Child Developmental Outcomes

Developmental quotients were measured by The Mullen Scales of Early Learning44 and calculated by dividing the child's age equivalent score by chronological age and multiplying by 100. Twenty percent of children at baseline and 17% at the second assessment either refused or were unable to complete the Mullen because of low levels of developmental functioning. These data were treated as missing and were not imputed. Children not completing the Mullen tended to be younger (47 vs 51 mo) (F[1,110] = 3.11, p = .081) and more likely to be classified with Autism (vs ASD) on the ADOS at baseline (86% vs 68%) (χ2[1, N = 112] = 2.992, p = .084).

Child language was also measured through parent report on the MCDI,45 a standardized parent-report language measure for children from age 8 to 16 months (Word and Gestures Form: MCDI-WG) and 16 to 30 months (Words and Sentences Form: MCDI-WS). Since the children tended to evidence significant language delay, all parents completed the MCDI-WG form at each assessment point. Parents were asked to complete the MCDI-WS if the Easter Seals site administrator assessed the child's language development as appropriate for the questions. Parents completed the MCDI-WS for 30% of children at baseline and 51% of children at the second assessment. Reliabilities were as follows for MCDI-WG: Phrases understood (28 items) α = .95 at baseline and .94 at follow-up, Vocabulary (396 items) α = 1.00 at baseline and 1.00 at follow-up, and Total gestures (63 items) α = 96.0 at baseline and .97 at follow-up. Reliabilities for the MCDI-WS scales were as follows: Complexity (37 items) was α = .97 at baseline and .95 at follow-up and Vocabulary (636 items) α = 1.00 at baseline and 1.00 at follow-up.

The Functional Emotional Assessment Scale46 is a video assessment of a child's interactional/social functioning. The FEAS has 6 sections and 34 items based on Greenspan's 6 FDLs,33 which progress from simple attention (FDL 1) and engagement (FDL 2) to 2-way purposeful reciprocal exchanges (FDL 3), to problem-solving gestures (FDL 4), and then to the consistent use of words (FDL 5) leading to rich pretend play, emotional thinking, and complex interaction (FDL 6). Items are rated as 0 (not at all or very brief), 1 (present some of the time, observed several times), or 2 (consistently present, observed many times). Ratings were summed to compute scores. Higher raw scale scores indicate greater social–emotional development. Parent-child free play with toys in the home was video-recorded for 15 minutes at pre- and post-assessment and coded by raters blind to group allocation and assessment time. Internal consistency of the overall scale was .99 at pretest and .95 at posttest. ICCs for interrater reliability for videos randomized over time were .95, which is considered substantial.43

Back to Top | Article Outline
Parent Outcomes

The Parenting Stress Index47 (PSI), a 120-item screening and diagnostic instrument, identifies areas of stress from the domains of child characteristics, parent characteristics, and situational/demographic life stress. Parents completed these forms at home and then sent them to MSU for data analysis. Internal consistency for the total score was .94 at baseline and.95 at posttest. The PSI was analyzed both as a continuous score and as a binomial variable using the recommended cutoff for referral for clinical services of 260.

The Center for Epidemiologic Studies Depression Scale48 (CES-D) is a 20-item questionnaire used to assess adult depressive symptoms. Parents were given these forms to complete at home and then sent to MSU for data analysis. Internal consistency was .93 and .92 at pretest and posttest, respectively. CES-D scores were analyzed continuously and as a binomial variable with scores of 16 and above categorized as at risk for clinical depression.48

Back to Top | Article Outline
Consultant Fidelity

Two study supervisors, experts in PLAY methodology, trained to use the project's fidelity manual, and blinded to time, independently rated a random sample of consultant videos and write-ups. Supervisors agreed 100% on whether the consultants met or did not meet fidelity criteria.

Back to Top | Article Outline
Statistical Analysis

Apart from the Mullen and MCDI-WS, missing data were missing completely at random (Little's MCAR test χ2[42, N = 112] = 50.16, p = .181). Data were imputed forward for using the last observation carried forward method at the scale level. Although multiple imputation procedures are promising,49 the field has not advanced to provide methods for addressing repeated measures ANOVA analysis,50 as used in this article. A common alternative has been the use of last observation carried.51,52 Analyses used an intent-to-treat approach, which included all cases randomized to PLAY and CS groups including those that did not complete the intervention. Exceptions were the video-based MBRS, CBRS, and FEAS, which were rated only for cases that completed the intervention. To test for the effect of treatment group on ADOS classification, an ordered logistic regression was conducted predicting ADOS diagnosis at Time 2 controlling for initial diagnosis, child age, and site. Ordered logistic regressions were conducted for the PSI and CES-D binomial classifications at Time 2 controlling for site, child age and Time 1 classification on the measure. For all other outcomes, repeated measures univariate or multivariate analyses of covariance (analysis of covariance and MANCOVAs) were conducted on sets of variables with treatment group as a between-group variable. When MANCOVAs were significant, follow-up univariate analyses were conducted to identify the direction of the differences.

Back to Top | Article Outline



PLAY families participated in an average of 10.52 visits (SD = 3.01) and reported using intervention with their children for 621.90 hours (SD = 273.64 hr) over the year (Table 2). In addition to usual community services (CS) (e.g., special education preschool), both PLAY and CS groups participated in about 100 hours of CS therapies (OT, Speech/Language, etc) per year. There were no group differences in CS therapies other than developmental, individual differences, and relationship-based/play-based interventions. In addition to PLAY consultation in the home, the PLAY group also received significantly more of these services in the community but they were infrequent (<10 hr/yr).

Back to Top | Article Outline
Autism Diagnosis and Symptoms

Table 3 displays the number of children by change in Autism Diagnostic Observation Schedule (ADOS) classification between Time 1 and Time 2 for each diagnosis and treatment group. Overall, 33% of CS children and 54% of PLAY children improved by at least 1 category. By Time 2, for children diagnosed with autism spectrum disorder, 41% of CS children and 53% of PLAY children improved, and for children diagnosed with autism, 29% of CS children and 55% of PLAY children improved.

Results of the ordinal logistic regression (controlling for child age, initial diagnosis, and site) predicting change in ADOS by treatment group indicated that the model was significant, χ2(6, N = 128) = 32.29, p < .001, with PLAY children more likely to improve in diagnostic classification than control children (Wald estimate = 5.91; location estimate = 0.87; 95% confidence interval [CI], 0.169–1.57; p = .015). The odds ratio of 2.39 indicates that PLAY children were more than twice as likely as control children to improve their diagnostic classification. Relative risk of no improvement was 32.30%, and absolute risk of no improvement was 21.66%.

Table 4 presents descriptive data, and repeated measure analysis of covariance and multivariate analysis of covariance (MANCOVA) results for time × group analyses for all other outcomes for the intent-to-treat analysis. The Social Communication Questionnaire showed a positive effect for time, indicating that parents reported fewer symptoms over the time regardless of group but the time × group effect was not significant.

Back to Top | Article Outline
Parent and Child Interactions

The repeated measures MANCOVA for parent interactions included the 4 Maternal Behavior Rating Scale scales and showed a significant and large time × group effect. Univariate tests of each scale indicated that PLAY parents evidenced significantly greater change in interaction quality than CS parents. Effect sizes were moderate to large, especially for the Responsiveness/Child Oriented and Affect/Animation scales. Repeated measures MANCOVA results for the child interaction scales also evidenced a significant time × group effect. Child Attention and Initiation improved in the PLAY group, whereas remaining stable in the CS group with moderate to large effect sizes.

Back to Top | Article Outline
Developmental Outcomes

The Mullen developmental quotient results showed a trend for time × group but no significant univariate effects. The parent-rated MacArthur Communicative Development Inventories (MCDI) had significant effects for time with all subscales except Vocabulary Understood demonstrating improvement. However, time × group effects were not significant for either MCDI-WG or MCDI-WS. The FEAS video ratings showed a significant moderate time × group effect with the PLAY group showing improvement in observed socioemotional behavior, whereas the CS group remained stable.

Back to Top | Article Outline
Parent Outcomes

Parenting stress levels decreased over time for both groups but did not differ by intervention group when analyzed continuously or categorically (Wald estimate = 0.65; p = .42; Exp(B) = 1.44; 95% CI, 0.591–3.508).

Depression scores of parents showed a trend for time by treatment group when measured on a continuous scale, with PLAY parents' depression scores tending to decrease more than that of CS parents. When classified as above or below, the threshold of “depressed,” χ2(6, N = 128) = 30.86, p < .001, with PLAY parents less likely to be classified as depressed over time than control parents (Wald estimate = 4.64; p = .031; Exp(B) = 3.02; 95% CI, 1.11–8.250).

Back to Top | Article Outline
Consultant Fidelity

Consultants completed 610 visits and submitted 138 (23%) videos and write-ups for review; each consultant was rated for at least 22 submissions. Nearly, all (97%) submissions reached criteria. Those that did not reach criteria received corrective feedback.

Back to Top | Article Outline


This randomized controlled trial (RCT) evaluated the PLAY Project Home Consultation (PLAY) program, a parent-mediated intervention model that uses a developmental relationship-based approach for young children ages 3 to 5 years old with autism spectrum disorder (ASD) (i.e., autism or PDD-NOS by DSM-4 criteria). After 12 months of intervention, the following aims, using an intent-to-treat analysis, were demonstrated: On the Maternal Behavior Rating Scale, PLAY parents significantly improved in their abilities to sensitively respond and effectively engage their child; on the Child Behavior Rating Scale, PLAY children's interaction skills within the home improved with increased shared attention and initiation; and as measured by the Functional Emotional Assessment Scale, PLAY children's social-emotional development significantly increased. Autism symptomatology, measured by the Autism Diagnostic Observation Schedule-Generic (ADOS-G), also improved significantly with PLAY children more than twice as likely to improve in their autism diagnostic category. Although the interactional and functional developmental outcomes were robust, the ADOS findings must be interpreted with caution.

Other studies have used the ADOS as an outcome measure with equivocal or negative results.19,23 To our knowledge, this is the first larger scale, longitudinal (12 mo) controlled study using a parent-mediated model to show improvement in autism symptomatology as measured by the ADOS. These ADOS results, however, have lead to some incongruous results when interpreted clinically (Table 3). Forty-one percent of community service (CS) children and 53% of PLAY children in the “ASD” group improved significantly enough to be categorized clinically as no longer on the autism spectrum. Furthermore, 16% of CS and 31% of PLAY children categorized as being in the “Autism” ADOS category improved enough to move to the milder diagnosis of ASD. Finally, 24% of PLAY and 13% of CS children classified in the Autism category at pretest no longer were classified on the spectrum at posttest. This kind of dramatic improvement in 1 year is not in agreement with clinical experience.

The ADOS, according to the ADOS diagnostic manual, “is only one component of a full diagnostic evaluation for ASD… information from this instrument should never be used in isolation to determine an individual's clinical diagnosis.”40 The ADOS-G has been revised to improve diagnostic accuracy40 (after pretest data collection on the ADOS-G, the revised ADOS-2 instrument was published.40 This version includes an algorithm for a continuous calibrated severity score [CSS]. Since initial randomization was done using diagnosis from the original ADOS algorithms, replacing ADOS-G scoring with CSS algorithms resulted in participants being in different diagnostic groups for randomization or disqualifying them from the study, which would have invalidated the initial randomization. Thus, the continuous scores could not be used). Categorical cutoffs on the ADOS-G might have led raters to interpret the test items such that slight changes in score caused categories to be crossed leading to the incongruous results. Because of these concerns, the improvement of autism symptomatology in the PLAY group must be viewed very cautiously. Results need to be replicated in future studies and should include clinical correlation.

Parent-mediated intensive intervention models may present potential harms. Increasing demands on parents may add to parental levels of stress and depression.53,54 However, interventions that offer support and/or lead to improvement in children's symptoms have been shown to lower reported parental stress.55,56 Consistent with this, PLAY parents' stress did not increase. Parents of children with ASD also demonstrate more depression than parents of typically developing children,57 yet PLAY parents showed a significant reduction in depressive symptomatology when compared with CS parents. These findings must be interpreted cautiously since improvement in depression resulted when established cutoffs (scores ≥16) for depression were used, whereas analysis of continuous depression scores showed no significant findings. Nonetheless, our study is one of the first rigorous long-term studies to show a reduction in depression after intensive intervention.55–57

Our study has limitations. Language, as measured by MacArthur Communicative Development Inventory, and developmental quotient, as measured by the Mullen, showed no differences between groups. These mixed findings improved parent-child interaction with less robust outcomes in language and IQ measures and are characteristic of the other RCTs of parent-mediated models.23,26 Longer term studies with children carefully enrolled by cognitive/language level may be necessary. Also, the intervention group received similar CS as the control group, making it difficult to assess PLAY in isolation. Combining parent-mediated interventions with other locally available services, however, may improve the comprehensiveness of services and might be preferred for local autism treatment provision so that the burden on parents is shared.17 Finally, parents in this study were better educated and of somewhat higher socioeconomic status than average, which may limit the generalizability of findings.

Back to Top | Article Outline


This study has implications for dissemination of ASD services. This was a community-based real-world implementation of the PLAY Project Home Consultation intervention for young children with ASD, adding 3 hours/month of home visitation within the context of usual CS. PLAY consultants showed fidelity in implementing the model, and parents consistently and effectively applied the program, providing about 2 hours/day of engaging interaction with their children. PLAY children made greater improvements in their interaction, functional development, and autism symptomatology than CS children. PLAY offers communities a relatively inexpensive effective treatment for children with ASD and their parents.

Back to Top | Article Outline

The authors thank Patricia Howlin, PhD for her critical review and Fei Chen for assistance with manuscript preparation.

Back to Top | Article Outline


1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed. Arlington, VA: American Psychiatric Publishing; 2013.
2. CDC. Prevalence of autism spectrum disorders among children 8 years old—autism and developmental disabilities monitoring network, 11 sites, United States, 2010. MMWR Surveill Summ. 2014;63:1–21.
3. Johnson CP, Myers SM. Identification and evaluation of children with autism spectrum disorders. Pediatrics. 2007;120:1183–1215.
4. Knapp M, Romeo R, Beecham J. Economic cost of autism in the UK. Autism. 2009;13:317–336.
5. Magiati I, Tay XW, Howlin P. Early comprehensive behaviorally based interventions for children with autism spectrum disorders: a summary of findings from recent review and meta-analyses. Neuropsychiatry. 2012;2:543–570.
6. Dawson G, Rogers SJ, Munson J, et al.. Randomized controlled trial of an intervention for toddlers with autism: the Early Start Denver Model. Pediatrics. 2010;125:e17–e23.
7. Lord C, McGee JP, eds. National Research Council, Committee on Educational Interventions for Children with Autism. Educating Children with Autism. Washington, DC: National Academies Press; 2001.
8. Autism Speaks. State Initiatives. September 2014. Available at:
9. Lovaas I. Behavioral treatment and normal educational and intellectual functioning in young autistic children. J Consult Clin Psychol. 1987;55:3–9.
10. Croen LA, Najjar DV, Ray GT, et al.. A comparison of health care utilization and costs of children with and without autism spectrum disorders in a large group model health plan. Pediatrics. 2006;118:e1203–e1211.
11. U.S. Department of Health and Human Services, Health Resources and Services Administration, Maternal and Child Health Bureau, The Health and Well-Being of Children: A Portrait of States and the Nation 2011–2012. Rockville, Maryland: U.S. Department of Health and Human Services; 2014.
12. Ruble LA, Heflinger CA, Renfrew JW, et al.. Access and service use by children with autism spectrum disorders in Medicaid Managed Care. J Autism Dev Disord. 2005;35:3–13.
13. Pringle BA, Colpe LJ, Blumberg SJ, et al.. Diagnostic history and treatment of school-aged children with autism spectrum disorder and special health care needs. NCHS Data Brief. 2012;97:1–8.
14. Nefdt N, Koegel R, Singer G, et al.. The use of a self-directed learning program to provide introductory training in pivotal response treatment to parents of children with autism. J Posit Behav Interv. 2010;12:23–32.
15. Spreckley M, Boyd R. Efficacy of applied behavioral intervention in preschool children with autism for improving cognitive, language, and adaptive behavior: a systematic review and meta-analysis. J Pediatr. 2009;154:338–344.
16. Wong C, Odom S, Hume K, et al.. Evidence-based practices for children, youth, and young adults with autism spectrum disorder. Chapel Hill: The University of North Carolina, Frank Porter Graham Child Development Institute, Autism Evidence-Based Practice Review Group. 2013. Available at:
17. Oono IP, Honey EJ, McConachie H. Parent-mediated early intervention for young children with autism spectrum disorders (ASD). Cochrane Database Syst Rev. 2013;4:1–100.
18. Jocelyn LJ, Casiro OG, Beattie D, et al.. Treatment of children with autism: a randomized controlled trial to evaluate a caregiver-based intervention program in community day-care centres. J Dev Behav Pediatr. 1998;19:326–334.
19. Aldred C, Green J, Adams C. A new social communication intervention for children with autism: pilot randomized controlled study suggesting effectiveness. J Child Psychol Psychiatry. 2004;45:1420–1430.
20. Kasari C, Freeman S, Paparella T. Joint attention and symbolic play in young children with autism: a randomized controlled intervention study. J Child Psychol Psychiatry. 2006;47:611–620.
21. Schertz H, Odom S. Promoting joint attention in toddlers with autism: a parent-mediated developmental model. J Autism Dev Disord. 2007;37:1562–1575.
22. Kasari C, Paparella T, Freeman S, et al.. Language outcome in autism: randomized comparison of joint attention and play interventions. J Consult Clin Psychol. 2008;76:25–137.
23. Green J, Charman T, McConachie H, et al.. Parent-mediated communication-focused treatment in children with autism (PACT): a randomized controlled trial. Lancet. 2010;375:2152–2160.
24. Kasari C, Gulsrud A, Wong C, et al.. Randomized controlled caregiver mediated joint engagement intervention for toddlers with autism. J Autism Dev Disord. 2010;40:1045–1056.
25. Pajareya K, Nopmaneejumruslers K. A pilot RCT of DIR/Floortime parent training intervention for pre-school children with ASD. Autism. 2011;15:563–577.
26. Casenhiser D, Shanker SG, Stieben J. Learning through social interactions in children with autism: preliminary data from a social-communications-based intervention. Autism. 2013;17:220–241.
27. American Psychiatric Association. Diagnostic and Statistics Manual of Mental Disorders. 4th ed. Washington, DC: American Psychiatric Association; 1994.
28. Solomon R, Necheles J, Ferch C, et al.. Pilot study of a parent training program for young children with autism: the PLAY project home consultation program. Autism. 2007;11:205–224.
29. Greenspan SI, Wieder S. An integrated developmental approach to interventions for young children with severe difficulties in relating and communicating. Zero to Three. 1997;17:5–18.
30. Montes G, Halterman J, Magyar C. Access to and satisfaction with school and community health services for US children with ASD. Pediatrics. 2009;124(suppl 4):S407–S413.
31. Abbeduto L, Seltzer MM, Shattuck P, et al.. Psychological well-being and coping in mothers of youths with autism, Down syndrome, and fragile X syndrome. Am J Ment Retard. 2004;109:237–254.
32. Hodge D, Hoffman CD, Sweeney DP. Increased psychopathology in parents of children with autism: genetic liability or burden of caregiving? J Dev Phys Disabil. 2011;23:227–239.
33. Solomon R, VanEgeren L. Pilot Study for a Controlled Trial of the PLAY Project Intervention for Autism. Washington, DC: NIMH; 2005. Grant 00060152.
34. McConachie H, Randle V, Hammal D, et al.. A controlled trial of atraining course for parents of children with suspected autism spectrum disorder. J Pediatr. 2005;147:335–340.
35. Mahoney G, Perales F. Relationship-focused early intervention with children with pervasive developmental disorders and other disabilities: a comparative study. J Dev Behav Pediatr. 2005;26:77–85.
36. Lord C, Rutter M, Le Couteur A. Autism Diagnostic Observation Schedule (ADOS) Manual. Los Angeles, CA: Western Psychological Services; 1995.
37. Lord C, Risi S, Lambrecht L, et al.. The autism diagnostic observation schedule-generic: a standard measure of social and communication deficits associated with the spectrum of autism. J Autism Dev Disord. 2000;30:205–223.
38. Rutter M, Bailey A, Berument SK, et al.. Social Communication Questionnaire (SCQ). Los Angeles, CA: Western Psychological Services; 2003.
39. Dunn LM, Dunn DM. Peabody Picture Vocabulary Test. 4th ed. Circle Pines, MN: American Guidance Service; 2007.
40. Lord C, Rutter M, DiLavore PC, et al.. Autism Diagnostic Observation Schedule, Second Edition. Torrance, CA: Western Psychological Services; 2012.
41. Mahoney G, Powell A, Finger I. The maternal behavior rating scale. Topics Early Child Spec Educ. 1986;6:44–56.
42. Mahoney G, Kim JM. Pivotal behavior model of developmental learning. Infant Young Child. 2007;20:311–325.
43. Shrout PE. Measurement reliability and agreement in psychiatry. Stat Methods Med Res. 1998;7:301–317.
44. Mullen EM. Mullen Scales of Early Learning. Circle Pines, MN: American Guidance Service; 1995.
45. Fenson L, Dale PS, Reznick JS, et al.. The MacArthur Communicative Development Inventories: User's Guide and Technical Manual. Baltimore, MD: Paul H. Brookes Publishing Co; 2007.
46. Greenspan S, DeGangi G, Wieder S. Functional Emotional Assessment Scale. Bethesda, MD: Interdisciplinary Council on Developmental and Learning Disorders; 2001.
47. Abidin RR. Parenting Stress Index: Professional Manual. 3rd ed. Odessa, FL: Psychological Assessment Resources Inc; 1995.
48. Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1:385–401.
49. Schafer JL. Multiple imputation: a primer. Stat Methods Med Res. 1999;8:3–15.
50. Van Ginkel JR, Kroonenberg PM. Analysis of variance of multiply imputed data. Multivariate Behav Res. 2014;49:78–91.
51. Altman DG. Missing outcomes in randomized trials: addressing the dilemma. Open Med. 2009;3:e51–e53. Available at:
52. Herman A, Botser IB, Tenebaum S, Checkick A. Intention-to-treat analysis and accounting for missing data in orthopaedic randomized clinical trials. J Bone Joint Surg Am. 2009;91:2137–2143.
53. Brobst J, Clopton J, Hendrick S. Parenting children with autism spectrum disorders: the couple's relationship. Focus Autism Other Dev Disabl. 2009;24:38–49.
54. Herring S, Gray J, Taffe B, et al.. Behaviour and emotional problems in toddlers with pervasive developmental disorders and developmental delay: associations with parental mental health and family functioning. J Intellect Disabil Res. 2006;50:874–882.
55. Wong V, Kwan Q. Randomized controlled trial for early intervention for autism: a pilot study of the Autism 1-2-3 Project. J Autism Dev Disord. 2010;40:677–688.
56. Bendixen R, Elder J, Donaldson S, et al.. Effects of a father-based in-home intervention on perceived stress and family dynamics in parents of children with autism. Am J Occup Ther. 2011;65:679–687.
57. Carter A, Martinez-Pedraza F, Gray S. Stability and individual change in depressive symptoms among parents raising young children with ASD: maternal and child correlates. J Clin Psychol. 2009;65:1270–1280.

Index terms: developmental outcomes; early intervention; parent-mediated intervention

© 2014 by Lippincott Williams & Wilkins