0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Development and preliminary evaluation of a novel physician-report tool for assessing barriers to providing care to autistic patients

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Individuals on the autism spectrum face significant disparities in health and physicians often report difficulties in providing care to autistic patients. In order to improve the quality of care autistic individuals receive, it is important to identify the barriers that physicians experience in providing care so that these may be addressed. This paper reports the initial development and preliminary evaluation of a physician-report ‘Barriers to Providing Healthcare’ measurement tool.

          Method

          An established taxonomy of healthcare barriers for autistic individuals informed the initial draft of a 22-item measurement tool. This measurement tool was distributed to physicians working in various healthcare specialties and settings. Exploratory factor analysis (EFA) was conducted to determine the construct validity of the tool; discriminant validity between, and internal consistency of, the resultant factors were assessed. Multiple regressions were used to explore variables potentially associated with barriers endorsed by physicians.

          Results

          A total of 203 physicians were included in the analyses. The EFA resulted in a 17-item tool with three distinct factors which explained 37.6% of the variance: 1) Patient-related barriers (Cronbach’s α = 0.83; e.g., the patient’s reactivity to the healthcare environment); 2) Healthcare provider (HCP)/family-related barriers (Cronbach’s α = 0.81; e.g., a lack of providers willing to work with autistic patients); and 3) System-related barriers (Cronbach’s α = 0.84; e.g., there is a lack of support for patients and families). Discriminant validity between the factors was adequate ( r < .8). The barriers that were most frequently endorsed as occurring ‘often’ or ‘very often’ included a lack of support for patients and families (endorsed by 79.9% of physicians); communication difficulties (73.4%); and a lack of coordination between services (69.9%). The regression analyses identified no significant associated variables.

          Conclusion

          A preliminary version of a novel physician-report tool to assess barriers to providing care to autistic patients has been developed although further validation work is required. The use of this tool will help physicians to identify issues specific to different medical specialities and healthcare settings. This information may help identify the supports physicians require to recognise and implement the required accommodations. Future research which elucidates barriers to healthcare provision for autistic patients is required to support systemic change in healthcare so as to improve care experiences and health outcomes for people on the autism spectrum.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12913-021-06842-1.

          Related collections

          Most cited references85

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2016

          Problem/Condition Autism spectrum disorder (ASD). Period Covered 2016. Description of System The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance program that provides estimates of the prevalence of ASD among children aged 8 years whose parents or guardians live in 11 ADDM Network sites in the United States (Arizona, Arkansas, Colorado, Georgia, Maryland, Minnesota, Missouri, New Jersey, North Carolina, Tennessee, and Wisconsin). Surveillance is conducted in two phases. The first phase involves review and abstraction of comprehensive evaluations that were completed by medical and educational service providers in the community. In the second phase, experienced clinicians who systematically review all abstracted information determine ASD case status. The case definition is based on ASD criteria described in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. Results For 2016, across all 11 sites, ASD prevalence was 18.5 per 1,000 (one in 54) children aged 8 years, and ASD was 4.3 times as prevalent among boys as among girls. ASD prevalence varied by site, ranging from 13.1 (Colorado) to 31.4 (New Jersey). Prevalence estimates were approximately identical for non-Hispanic white (white), non-Hispanic black (black), and Asian/Pacific Islander children (18.5, 18.3, and 17.9, respectively) but lower for Hispanic children (15.4). Among children with ASD for whom data on intellectual or cognitive functioning were available, 33% were classified as having intellectual disability (intelligence quotient [IQ] ≤70); this percentage was higher among girls than boys (40% versus 32%) and among black and Hispanic than white children (47%, 36%, and 27%, respectively). Black children with ASD were less likely to have a first evaluation by age 36 months than were white children with ASD (40% versus 45%). The overall median age at earliest known ASD diagnosis (51 months) was similar by sex and racial and ethnic groups; however, black children with IQ ≤70 had a later median age at ASD diagnosis than white children with IQ ≤70 (48 months versus 42 months). Interpretation The prevalence of ASD varied considerably across sites and was higher than previous estimates since 2014. Although no overall difference in ASD prevalence between black and white children aged 8 years was observed, the disparities for black children persisted in early evaluation and diagnosis of ASD. Hispanic children also continue to be identified as having ASD less frequently than white or black children. Public Health Action These findings highlight the variability in the evaluation and detection of ASD across communities and between sociodemographic groups. Continued efforts are needed for early and equitable identification of ASD and timely enrollment in services.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis

            Exploratory factor analysis (EFA) is a complex, multi-step process. The goal of this paper is to collect, in one article, information that will allow researchers and practitioners to understand the various choices available through popular software packages, and to make decisions about “best practices” in exploratory factor analysis. In particular, this paper provides practical information on making decisions regarding (a) extraction, (b) rotation, (c) the number of factors to interpret, and (d) sample size.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Evaluating the use of exploratory factor analysis in psychological research.

                Bookmark

                Author and article information

                Contributors
                sinead.lydon@nuigalway.ie
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                26 August 2021
                26 August 2021
                2021
                : 21
                : 873
                Affiliations
                [1 ]GRID grid.6142.1, ISNI 0000 0004 0488 0789, Department of General Practice, School of Medicine, , National University of Ireland, ; Galway, Ireland
                [2 ]GRID grid.412440.7, ISNI 0000 0004 0617 9371, Irish Centre for Applied Patient Safety and Simulation, , University Hospital Galway, ; Galway, Ireland
                [3 ]GRID grid.6142.1, ISNI 0000 0004 0488 0789, School of Medicine, , National University of Ireland Galway, ; Galway, Ireland
                [4 ]GRID grid.6142.1, ISNI 0000 0004 0488 0789, Discipline of Paediatrics, School of Medicine, , National University of Ireland Galway, ; Galway, Ireland
                [5 ]GRID grid.414315.6, ISNI 0000 0004 0617 6058, Department of Liaison Psychiatry, , Beaumont Hospital, ; Dublin 9, Ireland
                [6 ]GRID grid.412440.7, ISNI 0000 0004 0617 9371, Galway University Hospital, ; Galway, Ireland
                Article
                6842
                10.1186/s12913-021-06842-1
                8390217
                34445991
                0df8ab32-f74e-43ab-b8ba-ed6507eca62f
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 6 October 2020
                : 30 July 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100002081, Irish Research Council;
                Award ID: GOIPG/2017/1356
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Health & Social care
                autism,physicians,healthcare access,health equity,reasonable adjustments,health
                Health & Social care
                autism, physicians, healthcare access, health equity, reasonable adjustments, health

                Comments

                Comment on this article