Evaluation of Telehealth Services that are Clinically Appropriate for Reimbursement in the US Medicaid Population: Mixed Methods Study.

BACKGROUND: When the US Department of Health and Human Services instituted a State of Public Health Emergency (PHE) during the COVID-19 pandemic, many telehealth flexibilities were fast-tracked to allow state Medicaid agencies to reimburse new specialty services, sites of care, and mediums such as FaceTime to communicate with patients.. This resulted in expanded access to care for financially vulnerable Medicaid patients, as evidenced by an uptick in telehealth use. Research has mostly focused on telehealth reimbursement for limited use cases such as rural primary care, without broader consideration for how telehealth can be appropriately mainstreamed and maintained. OBJECTIVE: This study sought to (1) evaluate the continuation of flexible telehealth reimbursement broadly, beyond the COVID-19 pandemic; (2) analyze the clinical effectiveness of the new telehealth services; and (3) offer code-by-code reimbursement guidance to state Medicaid leaders. METHODS: We surveyed 10 state Medicaid medical directors (MMDs) who are responsible for the scientific and clinical appropriateness of Medicaid policies in their respective states. Participants were asked to complete an internet-based survey with a list of medical billing codes, grouped by service type, and asked if they believed they should be reimbursed by Medicaid on a permanent basis. Additional questions covered more detailed recommendations, such as reimbursing video with audio versus audio-only, guardrails for certain specialty services, and motivations behind responses. RESULTS: The MMDs felt that the majority of services should be reimbursed via some modality of telehealth after the PHE, with the most support for video combined with audio compared to audio-only. There were exceptions on both ends of the spectrum, where services such as pulmonary diagnostics were not recommended to be reimbursed in any form and services such as psychotherapy for mental health had the most support for audio-only. The vast majority of MMDs were supportive of reimbursement for remote monitoring services, but some preferred to have some reimbursement guardrails. We found that 90% (n=9) of MMDs were supportive of reimbursement for telehealth interprofessional services, while half (n=5) of the respondents felt that there should be continued guardrails for reimbursement. Motivations for continuing reimbursement flexibility were largely attributed to improving access to care, improving outcomes, and improving equity among the Medicaid patient population. CONCLUSIONS: There is a strong clinical endorsement to continue the telehealth flexibility enabled by the PHE, primarily for video combined with audio telehealth, with caution against audio-only telehealth in situations where hands-on intervention is necessary for diagnosis or treatment. There is also support for reimbursing remote monitoring services and telehealth interprofessional services, albeit with guardrails. These results are primarily from a perspective of improving access, outcomes, and equity; other state-specific factors such as fiscal impact and technical implementation may need to be taken into account when considering reimbursement decisions on telehealth.

Patient Flow and Reutilization of Crisis Services Within 30 Days in a Comprehensive Crisis System.

OBJECTIVE: Crisis services are undergoing an unprecedented expansion in the United States, but research is lacking on crisis system design. This study describes how individuals flow through a well-established crisis system and examines factors associated with reutilization of such services. METHODS: This cross-sectional study used Medicaid claims to construct episodes describing the flow of individuals through mobile crisis, specialized crisis facility, emergency department, and inpatient services. Claims data were merged with electronic health record (EHR) data for the subset of individuals receiving care at a crisis response center. A generalized estimating equation was used to calculate adjusted odds ratios for demographic, clinical, and operational factors associated with reutilization of services within 30 days of an episode's end point. RESULTS: Of 41,026 episodes, most (57.4%) began with mobile crisis services or a specialized crisis facility rather than the emergency department. Of the subset (N=9,202 episodes) with merged EHR data, most episodes (63.3%) were not followed by reutilization. Factors associated with increased odds of 30-day reutilization included Black race, homelessness, stimulant use, psychosis, and episodes beginning with mobile crisis services or ending with inpatient care. Decreased odds were associated with depression, trauma, and involuntary legal status. Most (59.3%) episodes beginning with an involuntary legal status ended with a voluntary status. CONCLUSIONS: Crisis systems can serve a large proportion of individuals experiencing psychiatric emergencies and divert them from more restrictive and costly levels of care. Understanding demographic, clinical, and operational factors associated with 30-day reutilization may aid in the design and implementation of crisis systems.

Racial and Ethnic Disparities in Geographic Access to Autism Resources Across the US.

Importance: While research has identified racial and ethnic disparities in access to autism services, the size, extent, and specific locations of these access gaps have not yet been characterized on a national scale. Mapping comprehensive national listings of autism health care services together with the prevalence of autistic children of various races and ethnicities and evaluating geographic regions defined by localized commuting patterns may help to identify areas within the US where families who belong to minoritized racial and ethnic groups have disproportionally lower access to services. Objective: To evaluate differences in access to autism health care services among autistic children of various races and ethnicities within precisely defined geographic regions encompassing all serviceable areas within the US. Design, Setting, and Participants: This population-based cross-sectional study was conducted from October 5, 2021, to June 3, 2022, and involved 530 965 autistic children in kindergarten through grade 12. Core-based statistical areas (CBSAs; defined as areas containing a city and its surrounding commuter region), the Civil Rights Data Collection (CRDC) data set, and 51 071 autism resources (collected from October 1, 2015, to December 18, 2022) geographically distributed into 912 CBSAs were combined and analyzed to understand variation in access to autism health care services among autistic children of different races and ethnicities. Six racial and ethnic categories (American Indian or Alaska Native, Asian, Black or African American, Hispanic or Latino, Native Hawaiian or other Pacific Islander, and White) assigned by the US Department of Education were included in the analysis. Main Outcomes and Measures: A regularized least-squares regression analysis was used to measure differences in nationwide resource allocation between racial and ethnic groups. The number of autism resources allocated per autistic child was estimated based on the child's racial and ethnic group. To evaluate how the CBSA population size may have altered the results, the least-squares regression analysis was run on CBSAs divided into metropolitan (>50 000 inhabitants) and micropolitan (10 000-50 000 inhabitants) groups. A Mann-Whitney U test was used to compare the model estimated ratio of autism resources to autistic children among specific racial and ethnic groups comprising the proportions of autistic children in each CBSA. Results: Among 530 965 autistic children aged 5 to 18 years, 83.9% were male and 16.1% were female; 0.7% of children were American Indian or Alaska Native, 5.9% were Asian, 14.3% were Black or African American, 22.9% were Hispanic or Latino, 0.2% were Native Hawaiian or other Pacific Islander, 51.7% were White, and 4.2% were of 2 or more races and/or ethnicities. At a national scale, American Indian or Alaska Native autistic children (ß = 0; 95% CI, 0-0; P = .01) and Hispanic autistic children (ß = 0.02; 95% CI, 0-0.06; P = .02) had significant disparities in access to autism resources in comparison with White autistic children. When evaluating the proportion of autistic children in each racial and ethnic group, areas in which Black autistic children (>50% of the population: ß = 0.05; <50% of the population: ß = 0.07; P = .002) or Hispanic autistic children (>50% of the population: ß = 0.04; <50% of the population: ß = 0.07; P < .001) comprised greater than 50% of the total population of autistic children had significantly fewer resources than areas in which Black or Hispanic autistic children comprised less than 50% of the total population. Comparing metropolitan vs micropolitan CBSAs revealed that in micropolitan CBSAs, Black autistic children (ß = 0; 95% CI, 0-0; P < .001) and Hispanic autistic children (ß = 0; 95% CI, 0-0.02; P < .001) had the greatest disparities in access to autism resources compared with White autistic children. In metropolitan CBSAs, American Indian or Alaska Native autistic children (ß = 0; 95% CI, 0-0; P = .005) and Hispanic autistic children (ß = 0.01; 95% CI, 0-0.06; P = .02) had the greatest disparities compared with White autistic children. Conclusions and Relevance: In this study, autistic children from several minoritized racial and ethnic groups, including Black and Hispanic autistic children, had access to significantly fewer autism resources than White autistic children in the US. This study pinpointed the specific geographic regions with the greatest disparities, where increases in the number and types of treatment options are warranted. These findings suggest that a prioritized response strategy to address these racial and ethnic disparities is needed.

Data-driven, client-centric applied behavior analysis treatment-dose optimization improves functional outcomes.

BACKGROUND: With increasing numbers of individuals diagnosed with autism spectrum disorder (ASD) and with affirmation of applied behavior analysis (ABA) as an evidence-based standard of care for ASD, there has been a proliferation of agencies offering ABA services over the last several decades. Disagreement exists among ABA providers and health plans that reimburse those providers on the optimal number of hours of ABA services that should be reimbursed. This study aims to understand whether children who receive more hours of ABA therapy achieve better outcomes and to evaluate the impact of the COVID-19-induced shift to telehealth clinical supervision on outcomes. METHODS: A retrospective cohort analysis was performed using data from the Vineland 3 Comprehensive Interview Form to assess function throughout ABA treatment. Paired sample t tests, independent sample t tests, Cohen's D, and Pearson correlations were used to determine relationships between Vineland scores and input variables including hours of service and modality of supervision (in-person vs. telehealth). RESULTS: While statistically and clinically significant improvements in function were observed, children appear to have improved outcomes independent of the number of hours of service received. There were also no significant associations between modality of supervision and Vineland standard scores. CONCLUSIONS: These findings challenge prior research that demonstrated a linear dose-response relationship. By tailoring treatment dosage to the individual client's needs, providers may be able to better maximize functional progress of the client, to preserve family time, and to utilize health plan dollars more efficiently.

Evaluation of an artificial intelligence-based medical device for diagnosis of autism spectrum disorder.

Autism spectrum disorder (ASD) can be reliably diagnosed at 18 months, yet significant diagnostic delays persist in the United States. This double-blinded, multi-site, prospective, active comparator cohort study tested the accuracy of an artificial intelligence-based Software as a Medical Device designed to aid primary care healthcare providers (HCPs) in diagnosing ASD. The Device combines behavioral features from three distinct inputs (a caregiver questionnaire, analysis of two short home videos, and an HCP questionnaire) in a gradient boosted decision tree machine learning algorithm to produce either an ASD positive, ASD negative, or indeterminate output. This study compared Device outputs to diagnostic agreement by two or more independent specialists in a cohort of 18-72-month-olds with developmental delay concerns (425 study completers, 36% female, 29% ASD prevalence). Device output PPV for all study completers was 80.8% (95% confidence intervals (CI), 70.3%-88.8%) and NPV was 98.3% (90.6%-100%). For the 31.8% of participants who received a determinate output (ASD positive or negative) Device sensitivity was 98.4% (91.6%-100%) and specificity was 78.9% (67.6%-87.7%). The Device's indeterminate output acts as a risk control measure when inputs are insufficiently granular to make a determinate recommendation with confidence. If this risk control measure were removed, the sensitivity for all study completers would fall to 51.6% (63/122) (95% CI 42.4%, 60.8%), and specificity would fall to 18.5% (56/303) (95% CI 14.3%, 23.3%). Among participants for whom the Device abstained from providing a result, specialists identified that 91% had one or more complex neurodevelopmental disorders. No significant differences in Device performance were found across participants' sex, race/ethnicity, income, or education level. For nearly a third of this primary care sample, the Device enabled timely diagnostic evaluation with a high degree of accuracy. The Device shows promise to significantly increase the number of children able to be diagnosed with ASD in a primary care setting, potentially facilitating earlier intervention and more efficient use of specialist resources.

Partially coherent diffraction-free vortex beams with a Bessel-mode structure.

A new family of partially coherent beams carrying optical vortices is introduced. Any member of this family represents an incoherent superposition of fully coherent orthogonal Bessel modes with the same helical wavefront and is notable for its diffraction-free propagation. It is shown analytically and experimentally that such beams can be approximately generated in the Fourier-transforming optical system with a computer-controlled liquid-crystal spatial light modulator.

Predicting 30- to 120-Day Readmission Risk among Medicare Fee-for-Service Patients Using Nonmedical Workers and Mobile Technology.

OBJECTIVE: Hospital readmissions are a large source of wasteful healthcare spending, and current care transition models are too expensive to be sustainable. One way to circumvent cost-prohibitive care transition programs is complement nurse-staffed care transition programs with those staffed by less expensive nonmedical workers. A major barrier to utilizing nonmedical workers is determining the appropriate time to escalate care to a clinician with a wider scope of practice. The objective of this study is to show how mobile technology can use the observations of nonmedical workers to stratify patients on the basis of their hospital readmission risk. MATERIALS AND METHODS: An area agency on aging in Massachusetts implemented a quality improvement project with the aim of reducing 30-day hospital readmission rates using a modified care transition intervention supported by mobile predictive analytics technology. Proprietary readmission risk prediction algorithms were used to predict 30-, 60-, 90-, and 120-day readmission risk. RESULTS: The risk score derived from the nonmedical workers' observations had a significant association with 30-day readmission rate with an odds ratio (OR) of 1.12 (95 percent confidence interval [CI], 1 .09-1.15) compared to an OR of 1.25 (95 percent CI, 1.19-1.32) for the risk score using nurse observations. Risk scores using nurse interpretation of nonmedical workers' observations show that patients in the high-risk category had significantly higher readmission rates than patients in the baseline-risk and mild-risk categories at 30, 60, 90, and 120 days after discharge. Of the 1,064 elevated-risk alerts that were triaged, 1,049 (98.6 percent) involved the nurse care manager, 804 (75.6 percent) involved the patient, 768 (72.2 percent) involved the health coach, 461 (43.3 percent) involved skilled nursing, and 235 (22.1 percent) involved the outpatient physician in the coordination of care in response to the alert. DISCUSSION: The predictive nature of the 30-day readmission risk scores is influenced by both nurse and nonmedical worker input, and both are required to adequately triage the needs of the patient. CONCLUSION: Although this preliminary study is limited by a modest effect size, it demonstrates one approach to using technology to contribute to delivery model innovation that could curb wasteful healthcare spending by tapping into an existing underutilized workforce.

Optimum generation of annular vortices using phase diffractive optical elements.

An annular vortex of arbitrary integer topological charge q can be obtained at the Fourier domain of appropriate phase diffractive optical elements. In this context we prove that the diffractive element that generates the vortex with maximum peak intensity has the phase modulation of a propagation-invariant qth order Bessel beam. We discuss additional advantages of this phase element as annular vortex generator.

Experimental determining the coherent-mode structure of vector electromagnetic field through its decomposition in reference basis.

A technique for experimental determining the coherent-mode structure of electromagnetic field is proposed. This technique is based on the coherence measurements of the field in some reference basis and represents a nontrivial vector generalization of the dual-mode field correlation method recently reported by F. Ferreira and M. Belsley [Opt. Lett.38(21), 4350 (2013)]. The justifiability and efficiency of the proposed technique is illustrated by an example of determining the coherent-mode structure of some specially generated and experimentally characterized secondary electromagnetic source.

Comparing efficiency and accuracy of the kinoform and the helical axicon as Bessel-Gauss beam generators.

We compare two phase optical elements that are employed to generate approximate Bessel-Gauss beams of arbitrary order. These elements are the helical axicon (HA) and the kinoform of the desired Bessel-Gauss beam. The HA generates a Bessel beam (BB) by free propagation, and the kinoform is employed in a Fourier spatial filtering optical setup. As the main result, it is obtained that the error in the BBs generated with the kinoform is smaller than the error in the beams obtained with the HA. On the other hand, it is obtained that the efficiencies of the methods are approximately 1.0 (HA) and 0.7 (kinoform).

Accelerating change: Fostering innovation in healthcare delivery at academic medical centers.

Academic medical centers (AMCs) have the potential to be leaders in the era of healthcare delivery reform, but most have yet to display a commitment to delivery innovation on par with their commitment to basic research. Several institutional factors impede delivery innovation including the paucity of adequate training in design and implementation of new delivery models and the lack of established pathways for academic career advancement outside of research. This paper proposes two initiatives to jumpstart disruptive innovation at AMCs: an institutional "innovation incubator" program and a clinician-innovator career track coupled with innovation training programs.

Simple technique for generating the perfect optical vortex.

We propose an improved technique for generating the perfect optical vortex. This technique is notable for the simplicity of its practical realization and high quality of the results. The efficiency of the proposed technique is illustrated with the results of physical experiments and an example of its application in optical trapping of small particles.

Generation of the "perfect" optical vortex using a liquid-crystal spatial light modulator.

We introduce the concept of the perfect optical vortex whose dark hollow radius does not depend on the topological charge. It is shown analytically and experimentally that such a vortex can be approximately generated in the Fourier transforming optical system with a computer-controlled liquid-crystal spatial light modulator.

Effect of coherence and polarization on frequency resolution in optical Fourier transforming system.

Using an example of vector Gaussian Schell-model beam, we demonstrate and analyze the dependence of the spatial frequency resolution in optical Fourier transforming system on the intrinsic coherence-polarization structure of illumination.

The San Francisco Community Vital Signs: using web-based tools to facilitate the mobilizing for action through planning and partnerships process.

A coalition of local public health system stakeholders in San Francisco developed a community assessment and strategic planning tool, the San Francisco Community Vital Signs (SFCVS). The SFCVS builds on the Mobilizing for Action through Planning and Partnerships (MAPP) model by incorporating Internet-based technology into local public health system evaluation and strengthening. This article describes the overlap between the SFCVS and MAPP processes, the manner in which information technology facilitated the SFCVS process, and a template for infusing a Web-based platform into the MAPP model. Internet-based applications helped to implement many (16 of 41; 39%) of the components of the SFCVS process. Of these 16 process measures, the majority (10; 63%) required the use of Web-based technology. The SFCVS demonstrates that a MAPP-like process can leverage the Internet to augment the functionality of public health activities.