Abstract
Background:
Awareness and diagnosis of autism in adulthood is on the rise. Studies have considered the impact of receiving an autism diagnosis for parents of children on the spectrum, although only few primarily qualitative studies have considered the self-reported impact of autism diagnosis. The Impact of Diagnosis Scale (IODS) was initially developed with a focus on borderline personality disorder. Our aim was to develop a version suitable for autistic individuals.
Methods:
The research team and a group of autistic advisors revised the IODS items for suitability and accessibility to autistic participants. We gathered participant data for 92 autistic adolescents and adults from the Cooperative Research Centre for Living with Autism (Autism CRC) Study of Australian School Leavers with Autism (SASLA) and the Australian Longitudinal Study of Autism in Adulthood (ALSAA). We used iterated principal factors analysis to explore potential factors, and thematic analysis to explore responses to two open-ended items.
Results:
Factor analysis suggested three factors of “Service Access (SA),” “Being Understood (BU),” and “Self-Acceptance and Understanding (SU)” for the 12 items of the IODS–Preliminary Revision (IODS-PR). Cronbach's alpha was good overall and acceptable for subdomains. Item mean scores suggest that although impact of autism diagnosis was generally perceived as positive for SU, scores were neutral in other domains. Qualitative analysis identified themes of Self-Understanding, Identity, and Acceptance, Supports and Services, Valence of Response, Relationships, and Camouflaging.
Conclusions:
The IODS-PR is the first scale to measure the self-reported experience of receiving an autism diagnosis. It showed good psychometrics and provides new insight into the experience of autism diagnosis. Qualitative analysis identified domains that remain unexplored and the potential for an expanded item set. A further revision of the tool will soon be available. It will provide critical information for clinicians and has potential applications for research and service evaluation.
Lay summary
Why was this study done?
There are increasing numbers of adults who are only diagnosed with autism in their teen and adult years. Research on this topic is limited, with most using surveys or interviews.
What was the purpose of this study?
The purpose was to develop a revision of the Impact of Diagnosis Scale (IODS) to make it suitable to autistic teenagers and adults.
What did the researchers do?
We worked with autistic research advisors to create the IODS–Preliminary Revision (IODS-PR), which has 12 items scored on a 7-point agree/disagree scale and two open-ended questions. We then gathered data using the IODS-PR from the Study of Australian School Leavers with Autism (SASLA) and the Australian Longitudinal Study of Autism in Adulthood (ALSAA). We ran a factor analysis on the scores and conducted a thematic analysis of the open-ended responses. One of the autistic advisors reviewed how we interpreted our results.
What were the results of the study?
There were 92 autistic participants (46 males, 38 females, 8 nonbinary; mean age of 36 years old). On average, participants were diagnosed with autism at age 30. The factor analysis suggested three domains in the IOD-PR: Self-Acceptance and Understanding, Being Understood, and Service Access. On average, participants' scores suggested receiving an autism diagnosis was helpful for understanding and accepting themselves, but neutral for being understood by others or getting support from services.
The thematic analysis identified several themes, the strongest theme was Self-Understanding, Identity, and Acceptance, where participants mostly commented on the positive new self-identity that came from their autism diagnosis. There was a Supports and Services theme that was divided into Enabled Support, Support not needed, and No or poor services. Most concerning was that many participants commented that the autism diagnosis did not enable any access to supports or that there were no appropriate supports available. There was a Valence of Response theme that was divided into Relief, Positive impact, Wish diagnosed earlier, and Negative impact. There was a Relationships theme divided into Connected with autistic community, Improves relationships, and Others lack understanding. Finally, there was a Camouflaging theme.
Based on these results, the researchers are working on further revisions to the IODS-PR to make it more useful and accessible.
What do these findings add to what was already known?
The adapted IODS shows promise and findings will guide further development of the tool. These early-stage findings agree with what previous research said about the impact of receiving a diagnosis of autism in adulthood.
What are potential weaknesses in the study?
There are strengths and weaknesses to using a questionnaire tool to research this topic. Interview research can get a more in-depth understanding of an individual's response to the diagnosis.
How will these findings help autistic adults now or in the future?
When the revised IODS is available, it could be used to evaluate support services and help clinicians understand how to help create a more positive response to diagnosis. Our findings confirm more needs to be performed about postdiagnosis supports.
Keywords: autism, diagnosis, assessment
Introduction
Rising public awareness, diagnoses in females1 and cases of less pronounced autistic traits2 are factors contributing to an overall increase in autism spectrum diagnoses in adulthood. Researchers referred to individuals receiving a late autism diagnosis as a “lost generation,”3 as they have spent a large proportion of their life without the benefit of early identification and supports. To date, limited qualitative work in this area describes that receiving a diagnosis in adulthood can be a life-changing “emotional roller coaster”4 that elicits feelings of relief and provides a framework for understanding and sense of belonging.4–8 However, more research is needed to understand, support, and accommodate the increasing number of individuals receiving a late autism diagnosis.
Evidence from both survey4,6,8 and interview-based5,9 methods suggest a generally positive impact of receiving an autism spectrum diagnosis in adulthood. Adults from qualitative studies described feelings of being different and experiences of unexplained social and occupational difficulties before diagnosis.4,5,9 Participants reported feelings of relief after diagnosis,6,8 as this new understanding allowed them to reinterpret their experiences in a manner that promotes self-acceptance.4,5,9 Adults described that increased self-understanding helped them develop more effective coping strategies for everyday situations.4 However, some adults also experience sadness and anger after diagnosis,6 most commonly because they wish that they had been diagnosed earlier or due to uncertainty over availability of support.8 Despite the lack of formal support services,6 evidence illustrates that receiving a diagnosis enables autistic adults to access peer-led autistic communities in-person and online, which can provide a sense of belonging and acceptance.4,5,9
Despite the reports regarding the impact of adult diagnosis, there is currently no empirically supported psychometric tool measuring the impact of receiving an autism diagnosis in adulthood. Impact of diagnosis research has focused on the mostly negative emotional response of parents whose child is diagnosed on the spectrum10 or been framed as a negative and stressful event in cancer and diabetes diagnosis,11,12 but little if any research has been conducted with other conditions. Courtney and Makinen13 originally developed the 10-item Impact of Diagnosis Scale (IODS) to explore the impact of receiving a borderline personality disorder diagnosis in adolescents. They gathered preliminary data 1-month postdiagnosis from 25 Canadian adolescents who had attended an inpatient unit. The 21 usable responses showed a modest internal consistency for the IODS (Cronbach α = 0.66), with a spread of responses to the items; in general, participants felt that their diagnosis was accurate and helped them understand their symptoms. The scale authors identified the need for further development of the IODS, suggested revision of items relating to psychological validation, adding new items relating to hope and shame, and co-production in the tool's design.
Given the lack of suitable measures to investigate self-reported impact of diagnosis, the aim of the current study was to validate a revised version of the IODS designed to explore the impact of receiving an autism spectrum diagnosis in older autistic adolescents and adults. A secondary aim was to gather data to guide potential future revisions of the tool. Our autistic research participants and advisors highlighted exploration of autism diagnosis in adulthood as a topic of enquiry.14 It is intended that the measurement of the impact of diagnosis may potentially be used to influence clinical practice, as without understanding the impact of diagnosis, it is not possible to provide evidence-based support to autistic adults during this experience.
Methods
Participants and procedures
We gathered participant data for this study from the Study of Australian School Leavers with Autism (SASLA)15 and the Australian Longitudinal Study of Autism in Adulthood (ALSAA; formerly known as the Australian Longitudinal Study of Adults with Autism).14 Both studies are questionnaire-based, prospective, longitudinal cohort studies of autistic school leavers (15–25 years) and autistic adults (25+ years), respectively, and have ethics approval from the relevant institutions. The SASLA and ALSAA studies recruited participants through advertisement and contact with autism, disability, or education-related organizations. Participants completed online or hardcopy surveys with a large battery of measures containing the revised version of the IODS. Participants self-reported their autism diagnosis, as well as providing details of diagnosing clinicians and completed the Autism Spectrum Quotient-28.16 Full details of the SASLA and ALSAA samples and procedures are described elsewhere.14,15
From an available 169 respondents, a total of 92 autistic participants provided usable quantitative data (46 males, 38 females, 8 nonbinary; Mage = 35.62 years, SD = 15.62, range 15–71 years). For these participants, the average age of receiving a diagnosis was 29.59 years (SD = 17.32, range 2–63, n = 5 missing) and average years since receiving diagnosis was 7.25 years (SD = 6.98, range 0–40, n = 5 missing). Participants' year of diagnosis ranged between 1977 and 2018. Many had co-occurring mental health conditions (depression n = 48, 52%; anxiety n = 59, 64%), and some were studying (n = 35, 38%, n = 1 missing) or were employed (n = 41, 46%, n = 2 missing). We included all N = 169 participants in qualitative analysis.
Instrument
The IODS–Preliminary Revision
The IODS–Preliminary Revision (IODS-PR) was developed with input from the ALSAA Research Advisory Network (RAN) of autistic advisors. Three autistic advisors reviewed the scale, before data gathering, with a focus on wording of modified items developed by the research team (S.R.C.A. and L.P.L.). The IODS-PR consisted of 12 items (Appendix A1) each scored on a 7-point Likert scale (Strongly Disagree–Strongly Agree), with a Not Applicable (NA) option. Four items (3, 5, 6, and 10) were reverse scored. Higher scores indicated a more positive impact of diagnosis. In comparison to the original IODS, we split two items, with “access treatment” separated into “access to community supports” and “access to healthcare supports,” and “diagnosis made me feel better” separated into “feel better physically” and “feel better about myself.” We removed words such as “symptoms,” as autism was conceptualized as a condition, not a disorder, hence the word “symptom” would be inaccurate. We also revised instructions to ask participants the exact autism spectrum diagnosis they received, given that many would have been diagnosed under DSM-IV or DSM-IV-TR,17 and to write this into spaces provided within several items, which is automated when completing the online survey. There were two additional qualitative items, asking for (1) reasons why any items were scored NA and (2) any further comments on impact of receiving diagnosis. We used the first item “I clearly remember a clinician using the diagnostic term ……………. to describe some of my life experiences” as a screening item, where we considered participants who disagreed with this item unlikely to be able to complete a valid questionnaire. Although the original IODS used the first two items for screening, we included the second item “I have learned about …………………………. and the indications of the condition” in domain scoring.
Inclusive research process
The ALSAA study recruited RAN advisors through established networks of the researchers, the Cooperative Research Centre for Living with Autism (Autism CRC) Research Academy, and later open calls to ALSAA participants. For this study, we sent autistic advisors e-mails with attached lay summaries, instructions, and time frames for providing input, and draft versions of the tool, inviting them to provide input to the scale development. Three advisors who had already established their preferred methods of communication responded. Their feedback was received through various formats, including written responses via e-mail or letter, and video conferencing. Advisors provided feedback on visual formatting, clarity of instructions for participants, and added clarity to assessment items. We then sent advisors a summary outlining which aspects of their advice had been incorporated or were unable to be incorporated into the IODS-PR. One advisor reviewed the qualitative findings within this article.
Data analysis
We used STATA 1518 for all quantitative analyses, including descriptive statistics, psychometrics, and factor analysis.
We used QSR International's NVivo 1219 for qualitative thematic analysis. For the thematic analysis, we practiced an inductive approach to coding, attempting to derive themes from the data itself and avoid theoretical bias. The first rater (S.R.C.A.) completed inductive coding across all responses to generate possible themes. In discussion with the second rater (Y.I.J.H.), we grouped and collapsed theme where possible. Themes with <2 coded entries collapsed into “uncategorized.” The second rater then completed independent coding of 1/3 of the responses to the agreed themes to determine inter-rater reliability.
Results
Quantitative analyses
We excluded numerous participants (n = 77) due to incomplete or NA responses on some items (n = 67) as it was not possible to calculate a total score, for example, scoring NA on items “… getting access to community supports …” (n = 35) and/or “… access to healthcare supports …” (n = 23) and/or due to not remembering being diagnosed based on the screening item (n = 15). Excluded participants were older [t(167) = −1.80, p = 0.03], but we found no significant differences in gender (n = 15 missing), age of diagnosis, or years since diagnosis between included and excluded participants. The original IODS did not include an NA option, but we thought that it was important to include for scale development purposes to ensure items were relevant to receiving an autism diagnosis. For the remaining n = 92 participants, the Kaiser–Meyer–Olkin (KMO) test (KMO = 0.70) and Bartlett's test of sphericity [X2(55) = 353.28, p < 0.001] indicated that the data were acceptable for factor analysis. Following review of eigenvalues, scree plots, and the optimal combination of Akaike's and Bayesian information criterion values (AIC = 184, BIC = 190 for the three-factor model), we conducted a three-factor exploratory factor analysis using the iterated principal factors method20 with Promax rotation. We identified three factors based on factor loadings: Self-Acceptance and Understanding (SU), Being Understood (BU), and Service Access (SA) (Table 1). SU encompassed a new positive understanding of past life experiences, BU referred to others treating the person with more understanding following diagnosis, and SA referred to access to community and health care supports following diagnosis. Cronbach's alpha and average inter-item correlations suggest the 11 scored items overall (α = 0.69, r = 0.18), and the factor SU (α = 0.78, r = 0.35) shows good internal consistency, but factors BU (α = 0.81, r = 0.68) and SA (α = 0.73, r = 0.58) would benefit from greater variety in items.
Table 1.
Factor Loadings of the 11 Scored Items in the Impact of Diagnosis Scale–Preliminary Revision (n = 92)
| Item | Loadings |
||
|---|---|---|---|
| SU | BU | SA | |
| Factor 1: SU | |||
| 2. I have learned about “……” and the indications of the condition. | 0.36 | −0.13 | 0.11 |
| 3. … has made me very confused. | 0.43 | −0.16 | 0.19 |
| 4. … seems to be an accurate way to describe a lot of my life experiences … | 0.77 | 0.13 | 0.02 |
| 7. Learning about “……” has helped me understand my life. | 0.74 | 0.11 | 0.02 |
| 8. … has made me feel better physically. | 0.64 | 0.04 | −0.15 |
| 9. … has made me feel better about myself. | 0.65 | 0.12 | −0.12 |
| 10. My life experiences are better described without using the term “….” | 0.64 | −0.20 | 0.10 |
| Factor 2: BU | |||
| 11. … Clinicians seem to treat me with more understanding … | 0.05 | 0.77 | 0.05 |
| 12. My close family/friends seem to treat me with more understanding … | 0.13 | 0.82 | 0.06 |
| Factor 3: SA | |||
| 5. … I have had a hard time getting access to community supports … | −0.16 | 0.03 | 0.60 |
| 6. … I have had a hard time getting access to healthcare supports … | 0.02 | 0.07 | 0.94 |
BU, Being Understood; SA, Service Access; SU, Self-Acceptance and Understanding.
Descriptive statistics (Table 2) showed that the impact of diagnosis was generally positive for SU, although relatively neutral for BU and SA. Items from SU received neutral-to-high scores with negative skew, indicating positive impact in this domain. In contrast, BU and SA items received low to neutral scores. Pearson's correlations showed weak nonsignificant relationships between factors (r = −0.06 to 0.18).
Table 2.
Impact of Diagnosis Scale–Preliminary Revision Descriptive Statistics for Total, Subscales, and Scored Items, After Reverse-Scoring (n = 92)
| Item | Mean (SD) | Skew | Kurtosis |
|---|---|---|---|
| Factor 1: SU | 5.58 (0.97) | −0.32 | 2.31 |
| 2. I have learned about “……” and the indications of the condition. | 6.25 (1.30) | −2.60 | 10.12 |
| 3. … has made me very confused. | 5.40 (1.62) | −0.92 | 2.90 |
| 4. … seems to be an accurate way to describe a lot of my life experiences … | 5.89 (1.30) | −1.50 | 5.25 |
| 7. Learning about “……” has helped me understand my life. | 6.23 (1.08) | −1.30 | 3.70 |
| 8. … has made me feel better physically. | 4.90 (1.59) | −0.35 | 2.30 |
| 9. … has made me feel better about myself. | 5.07 (1.82) | −0.60 | 2.18 |
| 10. My life experiences are better described without using the term “….” | 5.30 (1.52) | −0.75 | 2.73 |
| Factor 2: BU | 4.54 (1.53) | −0.55 | 2.63 |
| 11. … Clinicians seem to treat me with more understanding … | 4.49 (1.63) | −0.41 | 2.31 |
| 12. My close family/friends seem to treat me with more understanding … | 4.59 (1.72) | −0.59 | 2.46 |
| Factor 3: SA | 4.12 (1.54) | 0.07 | 2.46 |
| 5. … I have had a hard time getting access to community supports … | 3.83 (1.74) | 0.12 | 2.22 |
| 6. … I have had a hard time getting access to healthcare supports … | 4.41 (1.74) | −0.17 | 2.05 |
Thematic analysis
Of 160 meaningful responses to the two open-ended items, 12 responses remained uncategorized. The second rater had >95% agreement with coding 1/3 of the responses. We identified five overarching themes: “Self Understanding, Identity, and Acceptance,” “Supports and Services,” “Valence of Response,” “Relationships,” and “Camouflaging.”
The strongest theme to emerge related to Self-Understanding, Identity, and Acceptance. Participants commented that the diagnosis was beneficial in helping them understand themselves. One participant remarked with an improved sense of identity and self-acceptance that “It allowed me to see myself as a perfectly normal, average, Autistic person instead of a weird, failed, flawed non-Autistic person. It has completely changed the way that I perceive and describe myself,” with another stating that autism diagnosis was “The single most important thing that has happened to me in my life.” However, a positive self-understanding was sometimes hindered by social stigma: “Because autism is still classified as a ‘disorder’, I found that aspect very difficult to integrate into my life and sense of self without feeling down about myself and the world.”
The Supports and Services theme contains subcategories Enabled Support, Support not needed, and No or poor services. Although some received “a lot more help and support since I was diagnosed,” it appears for many, as supported by the quantitative data, that “the downside of the diagnosis was that there was no follow-up by way of ongoing support and there never has been.” Further supported by the number of NA responses to the related quantitative items, some participants commented that “I do not need or want support,” although comments in this category were sometimes related to the lack of appropriate services: “I have never applied for community supports. (Although, the more I look, the more I see that there are next to none to apply for in any case.)”
The Valence of Response theme contains subcategories Relief, Positive impact, Wish diagnosed earlier, and Negative impact. A common response was “overwhelming relief of knowing I was born this way and that there is nothing wrong with me.” In alignment with quantitative data many gave positive comments: “Other than having my children, my diagnosis is the best thing that ever happened to me,” although not all responses were positive, with some expressing regret they were not diagnosed earlier: “I still feel a lot of grief about things (mistakes due to miscommunication/misunderstanding the situation, abuse, etc.) that I feel could have gone differently if I had had an earlier diagnosis.” There were also some negative responses, with a participant becoming reclusive, another losing their career, and one commenting: “Since diagnoses (sic) advising peers and colleagues gives me a sense of dread and fear of being victimised and excluded.”
The Relationships theme contains subcategories Connected with autistic community, Improves relationships, and Others lack understanding. Some participants commented on a key benefit of diagnosis that “Maybe most importantly, getting my diagnosis prompted me to seek out the Autistic community, and … connections and friendships within my Autistic tribe.” Participants also mentioned improvements to relationships: “Helped me understand previous relationship difficulties and also helps my wife and I with our current relationship.” Although some also mentioned negative aspect of relationships relating to a lack of understanding of autism: “I haven't felt that I have received extra understanding from professionals, in fact I have felt it has worked against me in some situations, especially medical situations where Autism seems to equate to ‘anxiety’ in some people's minds.”
The final theme identified related to Camouflaging, with comments such as “I discovered that I was ‘faking’ my way through most of life, so since my diagnosis I have been going through a lot of self-exploration and working out who ‘I’ really am, rather than who I might be pretending to be.”
Discussion
The aim of this study was to develop a revised version of the IODS to examine the impact of receiving an autism spectrum diagnosis. Quantitative results identified three factors within the IODS-PR: SU, BU, and SA. Scores suggested a generally positive impact to SU from receiving a diagnosis of autism, and a relatively neutral impact to BU and SA. Qualitative data highlighted that for most people, receiving an autism diagnosis is a life-changing and mostly positive experience, although more needs to be performed regarding postdiagnosis support and community understanding and acceptance. Valuable information has been gained to inform further revision of the tool.
Importantly, we excluded many participants from the quantitative data analysis, primarily due to NA responses to items related to accessing supports. Many participants commented that they did not need further health or community supports postdiagnosis. Traditional scale development processes might suggest that these items should be removed. However, these items relate to areas of critical clinical interest. Future versions of the IODS will need to ensure a scoring system that provides meaningful results for participants who score NA on these items. The screening item “I clearly remember a clinician using the diagnostic term …” may also need revision to clearly determine if there was an event related to the disclosure or discovery of a formal diagnosis.
Our findings for autistic participants add support to existing studies6 of autism diagnosis in adulthood, of a strong positive impact in terms of self-understanding, some improvement in well-being and relationships, although generally poor postdiagnosis support services. The generally positive impact of receiving an autism diagnosis may be diminished by the lack of postdiagnostic support. Future research could consider examining the impact of diagnosis over time and whether it is influenced by clinician practices and the adequacy of postdiagnosis support.
Analysis of qualitative data adds further context to this preliminary analysis on the impact of autism diagnosis. Of interest, although not a specific topic area we probed, the theme of Camouflaging that emerged emphasizes the centrality of this process in autistic social experiences as suggested by recent research.21,22 Undiagnosed adolescents and adults may not realize their experience of camouflaging is related to their neurodivergence. It appears that although overall diagnosis may be a positive experience in terms of self-understanding, a more mixed response in terms of relationships with others is consistent with previous studies7,23 and likely is dependent on the level of acceptance and understanding of the other party. A generally positive response in terms of self-understanding also needs be contextualized to the variety in valence of responses from the qualitative data, as other studies highlighted both positive and negative emotional reactions.4,6,8 Neutral quantitative scores on BU and mixed qualitative responses in terms of relationships should be considered in terms of the difficulty in perspective-taking for some autistic participants, future studies could cross-validate with another party's perspective (e.g., spouse, sibling, parent) on perceptions and access to supports postdiagnosis. We also suspect that the perceived impact of diagnosis will change depending on time since diagnosis, which could be an important area for longitudinal studies.
A key strength of the IODS-PR is the involvement of autistic advisors in its development. Inclusive approaches may particularly benefit scale development, aligning the constructs and their mode of measurement to the understanding of those on the autism spectrum, rather than that of naive outsider perspectives, who may assume that items are easily comprehensible. Thus, using autistic advisors ensures the tool has meaning24 and applicability to the population it is intended to measure. More rigorous engagement with autistic advisors and researchers is underway in developing a further revision of the tool.
Limitations and future directions
There are both strengths and limitations to using a questionnaire tool to explore the topic of impact of diagnosis. For example, the measurement of this construct will allow the identification of related factors that can inform diagnostic practices. However, we were unable to determine potential confounders such as the individual's acceptance or denial of the diagnosis, and their awareness of what supports might be available from the data gathered. Although the two qualitative items intended for scale development purposes did gather a surprising richness of data from several participants, interview or focus group research would be able to obtain a depth of understanding that may be overlooked using a purely questionnaire-based data gathering technique.
Validation of a revised IODS will be limited by the lack of existing tools measuring the construct. However, certain subdomains of a revised tool may align with related constructs (e.g., well-being) and allow assessment of convergent validity. No validity testing has been undertaken so far in the preliminary revision of the tool, and only internal consistency of factors was measured. Factor analysis was conducted using a small sample of n = 92, although testing suggested that the data were suitable for analysis. Future work validating revisions of the IODS using larger samples should be conducted.
An additional benefit to the re-design of the IODS-PR lies in its potential to inform service delivery for autistic individuals. Identifying factors that influence response to diagnosis may assist in further sensitizing clinicians in their approach to disclosing diagnoses and to the adequacy of postdiagnosis supports and services. Most importantly, these preliminary data clearly indicate the need for development of postdiagnostic support for autistic individuals.
Considering RAN and participant interest in the topic, potential additional topic areas within the qualitative results, and small numbers of items in BU and SA domains, we decided to work toward a further revision to the tool to explore additional domains and items of interest (e.g., “Well-being [i.e., a positive feeling of wellness]”, “Diagnostic Process,” “Accuracy of Diagnosis,” and “Relating with Others”). Further revision of the IODS intends to make it applicable to service provision evaluation and inform clinical practices, in addition to aiding understanding of the impact and outcomes of receiving an autism diagnosis in late adolescence or adulthood. Examining the impact of diagnosis over time may assist in evaluating the benefit of postdiagnostic pilot services.
Conclusion
Using an inclusive research approach, we developed the IODS-PR, which uniquely measures the self-reported impact of diagnosis. Initial findings confirm the generally positive impact of receiving a diagnosis of autism and the disappointing lack of postdiagnosis support. The IODS-PR had some good psychometric properties, although the small numbers of items in some domains and additional areas for consideration identified in qualitative analysis highlight the need for further revision of the tool. Interested clinicians and researchers are encouraged to contact the corresponding author to access future revisions of the tool, which should soon be available.
Acknowledgments
The authors acknowledge the valuable contribution of the ALSAA Research Advisory Network members Matthew Bennet, Jen Harland, and Julianne Higgins whose insight and recommendations shaped the IODS-PR. We also gratefully acknowledge the cooperation and participation of all participants on the autism spectrum involved in this study.
Appendix A1. Items Used in the Impact of Diagnosis Scale: Preliminary Revision
-
1.
I clearly remember a clinician using the diagnostic term “……………..…………” to describe some of my life experiences.
-
2.
I have learned about “………………………….” and the indications of the condition.
-
3.
Hearing the term “…………………………” to describe my life experiences has made me very confused.
-
4.
Using the term “……………………….….” seems to be an accurate way to describe a lot of my life experiences.
-
5.
I have had a hard time getting access to community supports (e.g., home help, recreation program) since my life experiences were described as being part of “…………….”
-
6.
I have had a hard time getting access to healthcare supports (e.g., psychiatrist or dentist) since my life experiences were described as being part of “………………….”
-
7.
Learning about “……………………….” has helped me understand my life experiences.
-
8.
Hearing my life experiences being described as part of “………………………” has made me feel better physically.
-
9.
Hearing my life experiences being described as part of “………………………” has made me feel better about myself.
-
10.
My life experiences are better described without using the term “…………………….………….”
-
11.
Clinicians seem to treat me with more understanding since the term “……………………………….” was used to describe my life experiences.
-
12.
My close family/close friends seem to treat me with more understanding since the term “……………………….…….” was used to describe my life experiences.
Authorship Confirmation Statement
S.R.C.A., Y.I.J.H., A.R., J.N.T., and L.P.L. contributed to original conceptualization and design. S.R.C.A., Y.H., Y.I.J.H., A.R., J.N.T., and L.P.L. contributed to the analysis and interpretation of research data, and drafting significant parts or critically revising the article. All authors have reviewed and approved this article. This article has been submitted solely to this journal and is not published, in press, or submitted elsewhere.
Author Disclosure Statement
No competing financial interests exist.
Funding Information
This work was supported by the Cooperative Research Centre for Living with Autism (Autism CRC), established and supported under the Australian Government's Cooperative Research Centres Program.
References
- 1. Jensen CM, Steinhausen H-C, Lauritsen MB. Time trends over 16 years in incidence-rates of autism spectrum disorders across the lifespan based on Nationwide Danish Register Data. J Autism Dev Disord. 2014;44(8):1808–1818. [DOI] [PubMed] [Google Scholar]
- 2. Whitehouse AJO, Cooper MN, Bebbington K, et al. Evidence of a reduction over time in the behavioral severity of autistic disorder diagnoses. Autism Res. 2017;10(1):179–187. [DOI] [PubMed] [Google Scholar]
- 3. Lai M-C, Baron-Cohen S. Identifying the lost generation of adults with autism spectrum conditions. Lancet Psychiatry. 2015;2(11):1013–1027. [DOI] [PubMed] [Google Scholar]
- 4. Lewis LF. Realizing a diagnosis of autism spectrum disorder as an adult. Int J Ment Health Nurs. 2016;25(4):346–354. [DOI] [PubMed] [Google Scholar]
- 5. Hickey A, Crabtree J, Stott J. ‘Suddenly the first fifty years of my life made sense’: Experiences of older people with autism. Autism. 2018;22(3):357–367. [DOI] [PubMed] [Google Scholar]
- 6. Jones L, Goddard L, Hill EL, Henry LA, Crane L. Experiences of receiving a diagnosis of autism spectrum disorder: A survey of adults in the United Kingdom. J Autism Dev Disord. 2014;44(12):3033–3044. [DOI] [PubMed] [Google Scholar]
- 7. Punshon C, Skirrow P, Murphy G. The ‘not guilty verdict’: Psychological reactions to a diagnosis of Asperger syndrome in adulthood. Autism. 2009;13(3):265–283. [DOI] [PubMed] [Google Scholar]
- 8. Powell T, Acker L. Adults' experience of an Asperger syndrome diagnosis: Analysis of its emotional meaning and effect on participants' lives. Focus Autism Dev Disabil. 2016;31(1):72–80. [Google Scholar]
- 9. Tan CD. “I'm a normal autistic person, not an abnormal neurotypical”: Autism Spectrum Disorder diagnosis as biographical illumination. Soc Sci Med. 2018;197:161–167. [DOI] [PubMed] [Google Scholar]
- 10. Ooi KL, Ong YS, Jacob SA, Khan TM. A meta-synthesis on parenting a child with autism. Neuropsychiatr Dis Treat. 2016;12:745–762. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Feng X, Astell-Burt T. Impact of a type 2 diabetes diagnosis on mental health, quality of life, and social contacts: a longitudinal study. BMJ Open Diabetes Res Amp Care. 2017;5(1):e000198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Mcbride CM, Clipp E, Peterson BL, Lipkus IM, Demark-Wahnefried W. Psychological impact of diagnosis and risk reduction among cancer survivors. Psychooncology. 2000;9(5):418–427. [DOI] [PubMed] [Google Scholar]
- 13. Courtney DB, Makinen J. Impact of diagnosis disclosure on adolescents with borderline personality disorder. J Can Acad Child Adolesc Psychiatry. 2016;25(3):177–184. [PMC free article] [PubMed] [Google Scholar]
- 14. Arnold SRC, Foley K-R, Hwang YI, et al. Cohort profile: The Australian longitudinal study of adults with autism (ALSAA). BMJ Open. 2019;9(12):e030798. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Lawson LP, Haschek A, Richdale AL. Longitudinal Study of Australian School Leavers with Autism (SASLA): Baseline Characteristics. Olga Tennison Autism Research Centre (OTARC), La Trobe University, Melbourne; 2018.
- 16. Hoekstra RA, Vinkhuyzen AAE, Wheelwright S, et al. The construction and validation of an abridged version of the autism-spectrum quotient (AQ-Short). J Autism Dev Disord. 2011;41(5):589–596. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 4th Edition Text Revision: DSM-IV-TR. 4th ed. Text Revision. Washington, DC: American Psychiatric Publishing; 2000. [Google Scholar]
- 18. StataCorp. Stata Statistical Software: Release 15. College Station, TX: Statacorp LP; 2017. [Google Scholar]
- 19. NVivo Qualitative Data Analysis Software. Version 12. Melbourne, Victoria, Australia: QSR International Pty Ltd; 2018. [Google Scholar]
- 20. Tabachnick BG, Fidell LS. Using Multivariate Statistics. 6th edition. Boston: Pearson; 2012. [Google Scholar]
- 21. Hull L, Petrides KV, Allison C, et al. “Putting on my best normal”: Social camouflaging in adults with autism spectrum conditions. J Autism Dev Disord. 2017;47(8):2519–2534. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Lai M-C, Lombardo MV, Ruigrok AN, et al. Quantifying and exploring camouflaging in men and women with autism. Autism. 2017;21(6):690–702. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Crane L, Batty R, Adeyinka H, Goddard L, Henry LA, Hill EL. Autism diagnosis in the United Kingdom: Perspectives of autistic adults, parents and professionals. J Autism Dev Disord. 2018;48(11):3761–3772. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Fletcher-Watson S, Adams J, Brook K, et al. Making the future together: Shaping autism research through meaningful participation. Autism. 2019;23(4):943–953. [DOI] [PMC free article] [PubMed] [Google Scholar]
