Community–Academic Partnership
The Academic Autism Spectrum Partnership in Research and Education (AASPIRE; http://aaspire.org/) is an ongoing academic–community partnership comprising academic researchers, autistic adults, family members, and healthcare and disability services providers. We use a CBPR approach, whereby academic and community partners serve as equal partners throughout each project. In this study, partners were involved with the development of the research question, the design of the study, the creation of protocols and research materials, the development of the toolkit, the analysis and interpretation of data, and the writing of this manuscript.13,14 The project was approved by the institutional review boards at each affiliated university.
Participants and Recruitment
For all three studies, participants needed to be 18 years old or older, reside in the United States, and communicate in English. Additional eligibility criteria for autistic adults were a medical diagnosis on the autism spectrum (autistic disorder, Asperger’s, pervasive developmental disorder not otherwise specified, or autism spectrum disorder) and, in the toolkit evaluation study, a designated PCP. We encouraged autistic adults to participate directly, with or without help from a supporter. In cases where the autistic adult could not participate directly, even with accommodations and supports, we asked a supporter who had experience supporting the autistic adult in healthcare settings to participate on their behalf. For the cognitive interview study, PCPs' eligibility included a current primary care practice with adult patients. In the toolkit evaluation study, PCPs were included only if their patient participated in the study. We recruited participants via fliers, postings, and announcements to autism and disability-related organizations, email distribution lists, recruitment databases, and forums. Potential participants completed a brief screening questionnaire online or via telephone to assess eligibility.
Toolkit Content Development
The content of the toolkit was informed by a prior series of AASPIRE studies, including 1) a survey comparing the healthcare experiences10 and barriers to care11 of 209 autistic and 228 non-autistic adults, 2) a qualitative study of the healthcare experiences of 39 autistic adults and 16 supporters,12 and 3) a brief survey about the autism-related practices and training needs of 129 PCPs for adults, and qualitative interviews with 9 PCPs about their experiences in providing care to autistic adults (unpublished data). These data helped us identify potential leverage points that could be targeted with our intervention and informed the types of tools and resources to include. Table 1 depicts some of the concrete ways those findings informed the toolkit.
Table 1 Examples of How Findings from Prior Studies Informed Toolkit
Our team of academic and community partners jointly created and edited materials to ensure their relevance, utility, and accessibility. In general, we found that our autistic participants and team members desired a high degree of detail and examples, especially on topics related to navigating the healthcare system. The resulting AASPIRE Healthcare Toolkit has a section for patients and supporters and another for healthcare providers. It includes general healthcare and autism-related information, checklists, worksheets, and other resources. Figure 1 shows sample toolkit contents; the full toolkit is available at http://autismandhealth.org
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Recognizing the substantial heterogeneity of autistic individuals, our research participants and team members felt that communicating personalized information about each individual patient was essential.12 The toolkit’s centerpiece is thus the Autism Healthcare Accommodations Tool (AHAT), which allows patients to create a personalized accommodations report for their healthcare provider. A patient or his/her supporter completes the AHAT survey to automatically generate a customized cover letter and AHAT report for the provider.
We used the recommendations elicited in our qualitative studies and the lived and professional experience of the community and academic partners on our team to create the AHAT survey items. We created two versions of the survey, one for autistic adults and one for supporters. The AHAT survey includes five multiple-choice items about the patient’s spoken and written communication abilities and use of alternatives to speech, and 12 items about areas where autistic adults may need strategies and accommodations to facilitate care, or where providers may need to be aware of autism-related characteristics. Each of these items uses a check-all response format and lists 5 to 14 potential accommodations, strategies, or characteristics, an option indicating that no accommodations are needed, and one indicating that accommodations are needed but not listed. There are also open-ended items related to patients’ strengths, special interests, and strategies for recognizing and addressing anxiety in healthcare settings and a section eliciting information about supporters. Table 2 further describes the AHAT. The final version of the full AHAT survey and samples of AHAT reports are provided in Appendix A.
Table 2 Autism Healthcare Survey and Report Contents
Preliminary Testing and Refinement of the AHAT
We assessed content validity of the AHAT survey and reports by conducting cognitive interviews with autistic adults, supporters, and PCPs. We also informally reviewed the AHAT reports with several local groups of PCPs and autism experts. Participants could choose to take part in the cognitive interviews in person or via telephone, email, or text-based chat. We used purposeful sampling to ensure that we included autistic participants with a broad range of disability characteristics. The interviewer showed autistic participants or supporters the AHAT survey items, and showed providers a sample cover letter and sample reports from three hypothetical patients. The interviewer used a variety of qualitative techniques to assess understanding, relevance, and utility, including asking participants to paraphrase items or response options, asking them to describe what potential accommodations might look like in their own situation, and eliciting ideas for additional strategies not already included in the AHAT. The interviewer took notes on the responses and entered them into a matrix. We used an iterative process, periodically reviewing participant responses to the cognitive interview questions, revising the surveys, reports, and letters based upon feedback, and showing later participants the most current versions. We also went back to some of the PCP participants to assess whether our changes adequately addressed their concerns.
We then conducted a 2-week test–retest reliability study with autistic participants and supporters to test the stability of the tool over time. Taking each response option for the check-all items as a separate dichotomous variable, the original AHAT included 132 variables. For each of the 132 variables, we calculated the percentage of time given by participants to the same response on the two versions of the survey, as well as a kappa and a phi statistic for each.
Toolkit Evaluation
Study Design
We evaluated the full toolkit in a real-life setting using a mixed-methods, single arm pre/post-intervention study design. After completing a baseline survey, autistic participants (or their supporters) used the AHAT tool to create a personalized report and decided whether to have it sent to their PCP. They then gained access to the remainder of the online toolkit. One month after using the toolkit, participants completed a post-intervention survey. In cases where participants asked us to send the AHAT report to their provider, we surveyed PCPs approximately 1 month after the intervention to assess whether they found the report useful.
Data Collection
We conducted surveys with autistic participants using an online audio computer-assisted survey interview (ACASI) system that has been found to be highly accessible to people with developmental disabilities.15,16 Surveys had two versions, one for autistic adults participating directly and one for supporters. The supporter version asked questions about the autistic person in the third person and instructed the supporter, where applicable, to either answer on behalf of the autistic person or offer their own opinion. The surveys are provided in Appendix B.
We assessed healthcare self-efficacy using a 21-item scale created de novo by our community and academic partners, with special attention to the self-efficacy issues previously identified in our qualitative work.12 Items addressed aspects related to healthcare navigation, successful interactions with providers, and disease self-management. Response options used a four-point Likert scale with anchors of “0 – Not at all confident” to “3 – Totally confident.” We scored self-efficacy by adding responses from the 21 items, resulting in a possible range of 0 to 63, with higher scores corresponding to higher self-efficacy.
We assessed 16 barriers to healthcare using a checklist that we had previously developed11 for use with autistic individuals. The supporter version of the survey included a few slightly modified items to differentiate between barriers faced by the autistic individuals and those faced by the supporters. We compared the total number of barriers endorsed by participants in the pre- and post-intervention surveys.
We collected data about patient–provider communication using an eight-item scale we had previously adapted10 from the 2007 Health Information National Trends Survey (HINTS).17–21 We did not assess patient–provider communication for those who were participating via a supporter, because we did not feel that a supporter could adequately rate the patient's satisfaction with communication. Autistic participants were asked these questions again in the post-intervention survey only if they had seen their PCP since using the healthcare toolkit. Responses used a five-point Likert scale with anchors of “1 – Strongly disagree” to “5 – Strongly agree.” We analyzed items by summing the responses to yield a composite score from 8 to 40, with higher scores indicating higher satisfaction.
The pre-intervention survey also included information about demographic and disability characteristics. The post-intervention survey included seven multiple-choice items and nine open-ended items assessing the autistic patient’s or supporter’s impression of the toolkit’s usability and utility.
In cases where participants asked us to send their AHAT report to their PCPs and provided enough information for us to locate the PCP, we mailed the PCP an information sheet about the study, a cover letter, and the AHAT report. A month later, we attempted to contact the PCP to recruit them to the study. Due to an initial low response rate, we shortened the PCP survey to fit on a single page. Likert-scale and open-ended items assessed the PCP's impression of the AHAT report and the toolkit. PCPs could participate in the survey via telephone, fax, email, or Internet.
Data Analysis
We calculated summary statistics for all measures. We calculated Cronbach’s alphas for scored scales (patient–provider communication and healthcare self-efficacy). We could not do so for the barriers checklist or the AHAT survey because responses were dichotomous or in check-all format. We compared pre- and post-intervention outcomes using paired t tests. We conducted all quantitative analyses using Stata software (version 13.0; StataCorp LP, College Station, TX).
We conducted a thematic analysis22 of responses to open-ended survey items using an inductive approach, on a semantic level, and a constructivist paradigm. The two co-principal investigators (CN, DR) reviewed all responses using an electronic spreadsheet, collaboratively devised a coding schema, categorized responses, collapsed codes into common themes, and chose representative quotes.