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1.
Autism ; : 13623613241259910, 2024 Jun 23.
Artigo em Inglês | MEDLINE | ID: mdl-38910297

RESUMO

LAY ABSTRACT: Black/African American people in the United States who have a diagnosis of autism often experience service-related disparities, including not having the same access to high-quality autism and related care (e.g. behavioral interventions), and are less likely to have sustained treatment engagement across their lifespan. While interventions to support autistic people are typically designed to be universal, there is concern that these interventions not being tailored to the Black/African American population could reduce the overall impact due to a lack of responsiveness to the needs of the Black children or families who receive the intervention. The current systematic review summarized research on interventions developed for the Black autism community, including Black children with autism and their caregivers. After a comprehensive, systematic search, eight peer-reviewed publications were identified that met the study's inclusion criteria. The majority of the interventions were tailored to Black caregivers of children with autism. Autism researchers demonstrate different strategies for engaging Black caregivers in culturally responsive ways; however, more research into these interventions is needed in order to assess their effectiveness. In addition, there are still limited interventions adapted to be culturally responsive to Black/African American autistic people. The Cultural Adaptation Checklist framework is a novel approach with promise to become the standard for adapting interventions to meet the needs of culturally diverse groups. Cultural responsiveness is an important facet in the development of interventions that produce optimal outcomes for the range of diversity in the United States and is an important step to achieving equitable autism research practices.

2.
JAMA Netw Open ; 6(2): e2254006, 2023 02 01.
Artigo em Inglês | MEDLINE | ID: mdl-36735257

RESUMO

Importance: Electronic clinical decision support systems apply clinical guidelines in real time and offer a new approach to improve referral and utilization of low vision rehabilitation (LVR) care. Objective: To characterize patients and factors associated with LVR service utilization with and without the use of an electronic health record (EHR) clinical decision support system (CDSS) alert. Design, Setting, and Participants: Quality improvement study using EHR data to compare patients who did and did not utilize LVR service after referral between November 6, 2017, and October 5, 2019, (primary) and to assess overall service utilization rate from September 1, 2016, to April 2, 2021, regardless of referral status (secondary). Participants in the primary analysis were patients at a large ophthalmology department in an academic medical center in the US who received an LVR referral recommendation from their ophthalmologist according to the CDSS alert. The secondary analysis included patients with best documented visual acuity (BDVA) worse than 20/40 before, during, and after the CDSS implementation. Data were analyzed from August 2021 to April 2022. Exposures: Number and locations of referral recommendations for LVR service according to the CDSS alert in the primary analysis; active CDSS implementation in the secondary analysis. Main Outcomes and Measures: LVR service utilization rate was defined as the number of patients who accessed service among those who were referred (primary) and among those with BDVA worse than 20/40 (secondary). EHR data on patient demographics (age, sex, race, ethnicity) and ophthalmology encounter characteristics (numbers of referral recommendations, encounter location, and BDVA) were extracted. Results: Of the 429 patients (median [IQR] age, 71 [53 to 83] years; 233 female [54%]) who received a CDSS-based referral recommendation, 184 (42.9%) utilized LVR service. Compared with nonusers of LVR, users were more likely to have received at least 2 referral recommendations (12.5% vs 6.1%; χ21 = 5.29; P = .02) and at an ophthalmology location with onsite LVR service (87.5% vs 78.0%; χ21 = 6.50; P = .01). Onsite LVR service (odds ratio, 2.06; 95% CI, 1.18-3.61) persisted as the only statistically significant factor after adjusting for patient demographics and other referral characteristics. Among patients whose BDVA was worse than 20/40 before, during, and after the CDSS implementation regardless of referral status, the LVR service utilization rate was 6.1%, 13.8%, and 7.5%, respectively. Conclusions and Relevance: In this quality improvement study, ophthalmologist referral recommendations and onsite LVR services at the location where patients receive other ophthalmic care were significantly associated with service utilization. Ophthalmology CDSSs are promising tools to apply clinical guidelines in real time to improve connection to care.


Assuntos
Sistemas de Apoio a Decisões Clínicas , Oftalmologia , Baixa Visão , Humanos , Feminino , Idoso , Baixa Visão/reabilitação , Registros Eletrônicos de Saúde , Centros Médicos Acadêmicos
3.
JAMA Neurol ; 79(6): 623-626, 2022 06 01.
Artigo em Inglês | MEDLINE | ID: mdl-35467745

RESUMO

Importance: Dementia prevention is a high priority, given the large impact of dementia on the well-being of individuals and society. The number of older adults with dementia in the US and globally is projected to increase as a result of population aging and growth. Thus, it is vital to identify potentially modifiable dementia risk factors. Vision impairment has been identified as a risk factor for accelerated cognitive decline and incident dementia. An estimated 90% of vision impairment is preventable or has yet to be treated. Nevertheless, vision impairment has not been included in the dominant life-course models of dementia risk factors used to shape public health policy and research priorities. Objective: To strengthen an existing model of potentially modifiable dementia risk factors through the inclusion of vision impairment and to estimate the contributions of those risk factors in the US population. Design, Setting, and Participants: Population-based, cross-sectional study using data from the 2018 round of the Health and Retirement Study. Analyses were conducted from March 11 through September 24, 2021. The study population was a probability sample of US adults aged 50 years and older. Exposures: Potentially modifiable dementia risk factors, including vision impairment. Main Outcomes and Measures: The estimated population attributable fractions (PAFs) of dementia associated with vision impairment and other dementia risk factors were calculated. The PAF represents the number of cases of dementia that would potentially be prevented if a risk factor were eliminated. Results: The probability sample from the Health and Retirement Study included 16 690 participants (weighted demographic characteristics: 54.0% female, 52.0% age ≥65, 10.6% Black, 80% White, and 9.2% identified as other [including American Indian or Alaska Native, Asian, and Hawiian Native or Pacific Islander, although specific data were not available]). The 12 dementia risk factors in the PAF model were associated with an estimated 62.4% of dementia cases in the US. The risk factor with the highest weighted PAF for dementia was hypertension (12.4%). The PAF of vision impairment was 1.8%, suggesting that more than 100 000 prevalent dementia cases in the US could potentially have been prevented through healthy vision. Conclusions and Relevance: Existing life-course models of potentially modifiable dementia risk factors may consider including vision impairment. Since a large majority of vision impairment can be treated with cost-effective but underused interventions, this may represent a viable target for future interventional research that aims to slow cognitive decline and prevent incident dementia.


Assuntos
Disfunção Cognitiva , Demência , Idoso , Envelhecimento , Disfunção Cognitiva/complicações , Disfunção Cognitiva/epidemiologia , Estudos Transversais , Demência/epidemiologia , Demência/etiologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Fatores de Risco
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