Assessing reliability and validity of SIPAT and opportunities for improvement: A single-center cohort study.

Psychosocial assessment is a standard component of patient evaluations for transplant candidacy. The Stanford Integrated Psychosocial Assessment for Transplant (SIPAT) is a widely used measure to assess psychosocial risk for transplant. However, there are questions regarding the SIPAT's reliability and validity. We examined the SIPAT's psychometric performance and its impact on equitable access to transplant in a diverse cohort of 2825 patients seeking liver transplantation between 2014 and 2021 at an urban transplant center. The SIPAT demonstrated good internal consistency reliability at the overall score [Cronbach's α = 0.85, 95% CI (0.83, 0.86)] and domain levels (0.80 > α > 0.70). There was mixed support for structural validity, with poor overall model fit in confirmatory factor analysis and 50% of questions achieving the 0.70-factor loadings threshold. Adjusting for sociodemographic variables, the odds of not being waitlisted for psychosocial reasons were three times higher for patients with Medicaid insurance than patients with private insurance [OR 3.24, 95% CI (2.09, 4.99)] or Medicare [OR 2.89, 95% CI (1.84, 4.53)], mediated by higher SIPAT scores. Black patients had nearly twice the odds of White patients [OR 1.88, 95% CI (1.20, 2.91)], partially mediated by higher social support domain scores. Patients with Medicaid, non-White patients, and those without a college degree scored significantly higher on collinear questions, disproportionately contributing to higher SIPAT scores. The SIPAT did not perform equally across insurance type, race/ethnicity, and education groups, with the lowest subgroup validity associated with patient readiness and psychopathology domains. The SIPAT should be interpreted with caution, especially as a composite score. Future studies should examine validity in other populations.

Correlation and Crosswalks Between Patient-Reported Functional Outcomes and PROMIS Physical Function Among Medically Ill Patients.

OBJECTIVES: To develop scoring crosswalks between a new multidomain patient-reported outcome measure, the Functional Assessment in Acute Care (FAMCAT), with a Patient-Reported Outcomes Measurement (PROMIS) measure of physical function, and examine correlations with existing legacy instruments. DESIGN: Cross-sectional, single-group design study. SETTING: Large, Midwestern academic teaching hospital. PARTICIPANTS: A sample of patients (N=1885; 53% men; average age, 62±16y) hospitalized on the general medical services between May 2016 and June 2017. INTERVENTION: Not applicable. MAIN OUTCOME MEASURES: Scores from the FAMCAT administered via computerized adaptive testing were compared with scores on the 8-item PROMIS Physical Function (PROMIS PF) short form. RESULTS: Correlations with the FAMCAT and the PROMIS PF were strong for initial scores (MCAT_Mobilty: r=0.78, P<.0001; MCAT_DailyAct: r=0.81, P<.0001). The Applied Cognition scale did not demonstrate adequate correlations and thus was not a candidate for crosswalk scores. Although the MCAT_Mobility scale could be initially linked, subsequent analysis did not support a valid crosswalk. Linking criteria were applied with the Daily Activity scale to developing a final concordance table. CONCLUSIONS: The FAMCAT Daily Activity scale yielded robust correlations to develop crosswalk scores with the PROMIS PF. The resulting crosswalk conversion metric may be useful to compare outcomes across these constructs for assessing functional abilities among patients on general medical services. The Applied Cognition and Basic Mobility scales did not meet the criteria; therefore, alternate legacy instruments are needed to develop additional crosswalks.

Identifying Clinically Relevant Functional Strata to Direct Mobility Preservation Among Patients Hospitalized With Medical Conditions.

OBJECTIVE: To develop a system to guide interpretation of scores generated from the newly developed item response theory (IRT)-based Functional Assessment in Acute Care Multidimensional Computerized Adaptive Test (FAMCAT), which assesses 3 important domains of function: Mobility, Daily Activities, and Applied Cognition. DESIGN: Cross-sectional data was used to inform a modified Delphi approach to establish FAMCAT cutpoints delineating various functional ability levels. SETTING: Large midwestern academic teaching hospital. PARTICIPANTS: Patients hospitalized to an inpatient medical service (N=2049). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: FAMCAT Basic Mobility, Daily Activity, and Applied Cognition scores. RESULTS: IRT-based score estimation data was successfully integrated with expert clinical feedback using a modified Delphi process to arrive at consensus yielding 4 functional level strata (ranging from bed-based mobility to independent mobility) for both the FAMCAT Mobility and Daily Activity scales; 1 cutpoint was supported to delineate 2 functional strata for Applied Cognition. CONCLUSIONS: Meaningful cutpoints were established for each FAMCAT domain using a data-informed, modified Delphi process for achieving consensus. The resulting FAMCAT interpretation guide may be used to develop an ability-matched mobility preservation program and identify patients who may require a higher level of supervision based on the resulting FAMCAT scores.

Driver Rehabilitation Utilization and Need Among Community-Dwelling Older Adults.

IMPORTANCE: Driving is one of the most important instrumental activities of daily living. As adults age, many face challenges with maintaining independent driving, leading to risk for decreased occupational engagement and quality of life. The extent to which occupational therapy services meet the driver rehabilitation needs of older adults is unknown. OBJECTIVE: To characterize driver rehabilitation service utilization among a nationally representative sample of community-dwelling older adults. DESIGN: Exploratory, descriptive cross-sectional study using the National Health and Aging Trends Study 2016 wave. PARTICIPANTS: Community-dwelling adults age 65 and older who received rehabilitation services in the past year (N = 1,173). OUTCOMES AND MEASURES: Sociodemographic information, comorbidities, rehabilitation use, community mobility, and participation restrictions were collected using self-report and performance-based measures. RESULTS: Of this sample of older adults, 63.0% reported driving as their primary mode of transportation, 25.8% reported limitations in community participation related to transportation, and 9.2% reported having received rehabilitation focused on driving or other transportation goals in the past year. Findings from this study suggest a discrepancy between utilization of driver rehabilitation and self-reported need. CONCLUSIONS AND RELEVANCE: Many older adults reported limitations in community participation for transportation-related reasons, yet driver rehabilitation represented only a small proportion of services used. As experts in driver rehabilitation, occupational therapy practitioners should lead the way in advocating for increased utilization of driver rehabilitation and development of innovative, accessible transportation options to promote community mobility and participation among older adults. WHAT THIS ARTICLE ADDS: The results of this study illustrate an important discrepancy between self-reported need for and utilization of driver rehabilitation services. Occupational therapy practitioners can play an important role in meeting older adults' driving and transportation needs to enable them to fully participate in their community and daily routines.

The Supporting Older Americans Act of 2020: How Policy Connects With Occupational Therapy Principles and Practice.

The U.S. population is aging at an unprecedented rate, creating both opportunities and challenges for the overall health of the nation. Occupational therapy practitioners can inform important health policies by developing an understanding of the basis for relevant laws and programs and how occupational therapy principles relate to policy goals. This column discusses the Older Americans Act of 1965 (reauthorized as the Supporting Older Americans Act of 2020) and describes ways in which the objectives of this legislation align with the principles and practice of occupational therapy. Recommendations are provided for how the field of occupational therapy can enhance current policy development and debate, thus leading to expanded opportunities for the profession.

Meditation-Based Interventions for Adults With Dementia: A Scoping Review.

IMPORTANCE: With the high prevalence and cost of dementia care worldwide, a need exists to develop cost-effective and evidence-based treatment for people with dementia. Meditation, which has been demonstrated to have positive effects on brain health, may be a viable intervention option. OBJECTIVE: To investigate how meditation-based interventions affect health and quality-of-life (QOL) outcomes for adults with dementia. DATA SOURCES: Articles were located by using the keywords meditation, mindfulness, mind-body, dementia, and Alzheimer's to search the following electronic databases: PubMed, CINAHL, Embase, Cochrane, and JumboSearch at Tufts University. STUDY SELECTION AND DATA COLLECTION: Using Arksey and O'Malley's methodology, a scoping review was conducted to examine scientific and gray literature published between 1997 and 2018. Data were abstracted and assessed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Only articles that included a meditation-based intervention and at least 1 participant with dementia were included. FINDINGS: Nineteen articles met inclusion criteria. The four main outcomes that emerged from the literature were improvement in QOL, mental health, cognition, and functional abilities after participation in a meditation-based intervention. The outcome with the strongest support was the effectiveness of meditation-based interventions in maintaining cognitive function in people living with dementia. Significant gaps in the research were identified, including weak research design, inconsistency in measurement of outcomes, small sample sizes, and a lack of standardized meditation protocols for people with dementia. CONCLUSIONS AND RELEVANCE: Our findings suggest that incorporating meditation into interventions for clients with dementia can have beneficial results. Opportunities exist for occupational therapy practitioners to advocate for the continuation of research in this field. Notable gaps in the literature highlight the need for randomized controlled trials and the development of standardized meditation protocols for people with dementia. WHAT THIS ARTICLE ADDS: Meditation-based interventions for people with dementia are associated with improved quality of life and cognition and may be viable treatment options for occupational therapists to implement in their practice.

Psychometric Evaluation of the Improved Work-Disability Functional Assessment Battery.

OBJECTIVE: To assess psychometric properties of the improved Work Disability Functional Assessment Battery (WD-FAB 2.0). DESIGN: Longitudinal study. SETTING: Community. PARTICIPANTS: Three samples of working-age (21-66) adults (N=1006): (1) unable to work because of a physical condition (n=375); (2) unable to work because of a mental health condition (n=296); (3) general United States working age sample (n=335). INTERVENTION: NA. MAIN OUTCOME MEASURES: All samples completed the WD-FAB 2.0; the second administration came 5 days after the first. Construct validity was examined by convergent and divergent correlational analysis using legacy measures. Test-retest reliability was assessed by intraclass correlation coefficients (ICC3,1). Standard error of the mean (SEM) and minimal detectable change (MDC90) were calculated to measure scale precision and sensitivity. RESULTS: Physical function ICCs ranged from 0.69 to 0.77 in the general sample, and 0.66 to 0.86 in the disability sample. Mental health function scales ICCs ranged from 0.62 to 0.73 in the general sample, and 0.74 to 0.76 in the disability sample. SEMs for all scales indicated good discrimination; those for the physical function scales were generally lower than those for the mental health scales. MDC90 values ranged from 3.41 to 10.55. Correlations between all WD-FAB 2.0 scales and legacy measures were in the expected direction. CONCLUSIONS: The study provides substantial support for the reliability and construct validity of the WD-FAB 2.0 among 3 diverse samples. Although initially developed for use within the Social Security Administration (SSA), these results suggest that the WD-FAB 2.0 could be used for assessment and measurement of work-related physical and mental health function in other contexts as well.

Improving Assessment of Work Related Mental Health Function Using the Work Disability Functional Assessment Battery (WD-FAB).

Purpose To improve the mental health component of the Work Disability Functional Assessment Battery (WD-FAB), developed for the US Social Security Administration's (SSA) disability determination process. Specifically our goal was to expand the WD-FAB scales of mood & emotions, resilience, social interactions, and behavioral control to improve the depth and breadth of the current scales and expand the content coverage to include aspects of cognition & communication function. Methods Data were collected from a random, stratified sample of 1695 claimants applying for the SSA work disability benefits, and a general population sample of 2025 working age adults. 169 new items were developed to replenish the WD-FAB scales and analyzed using factor analysis and item response theory (IRT) analysis to construct unidimensional scales. We conducted computer adaptive test (CAT) simulations to examine the psychometric properties of the WD-FAB. Results Analyses supported the inclusion of four mental health subdomains: Cognition & Communication (68 items), Self-Regulation (34 items), Resilience & Sociability (29 items) and Mood & Emotions (34 items). All scales yielded acceptable psychometric properties. Conclusions IRT methods were effective in expanding the WD-FAB to assess mental health function. The WD-FAB has the potential to enhance work disability assessment both within the context of the SSA disability programs as well as other clinical and vocational rehabilitation settings.

Improving measures of work-related physical functioning.

PURPOSE: To expand content of the physical function domain of the Work Disability Functional Assessment Battery (WD-FAB), developed for the US Social Security Administration's (SSA) disability determination process. METHODS: Newly developed questions were administered to 3532 recent SSA applicants for work disability benefits and 2025 US adults. Factor analyses and item response theory (IRT) methods were used to calibrate and link the new items to the existing WD-FAB, and computer-adaptive test simulations were conducted. RESULTS: Factor and IRT analyses supported integration of 44 new items into three existing WD-FAB scales and the addition of a new 11-item scale (Community Mobility). The final physical function domain consisting of: Basic Mobility (56 items), Upper Body Function (34 items), Fine Motor Function (45 items), and Community Mobility (11 items) demonstrated acceptable psychometric properties. CONCLUSIONS: The WD-FAB offers an important tool for enhancement of work disability determination. The FAB could provide relevant information about work-related functioning for initial assessment of claimants; identifying denied applicants who may benefit from interventions to improve work and health outcomes; enhancing periodic review of work disability beneficiaries; and assessing outcomes for policies, programs and services targeting people with work disability.

Work disability functional assessment battery: feasibility and psychometric properties.

OBJECTIVE: To assess the feasibility and psychometric properties of 8 scales covering 2 domains of the newly developed Work Disability Functional Assessment Battery (WD-FAB): physical function (PF) and behavioral health (BH) function. DESIGN: Cross-sectional study. SETTING: Community. PARTICIPANTS: Adults (N=973) unable to work because of a physical (n=497) or a mental (n=476) disability. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Each disability group responded to a survey consisting of the relevant WD-FAB scales and existing measures of established validity. The WD-FAB scales were evaluated with regard to data quality (score distribution, percentage of "I don't know" responses), efficiency of administration (number of items required to achieve reliability criterion, time required to complete the scale) by computerized adaptive testing (CAT), and measurement accuracy as tested by person fit. Construct validity was assessed by examining both convergent and discriminant correlations between the WD-FAB scales and scores on same-domain and cross-domain established measures. RESULTS: Data quality was good, and CAT efficiency was high across both WD-FAB domains. Measurement accuracy was very good for PF scales; BH scales demonstrated more variability. Construct validity correlations, both convergent and divergent, between all WD-FAB scales and established measures were in the expected direction and range of magnitude. CONCLUSIONS: The data quality, CAT efficiency, person fit, and construct validity of the WD-FAB scales were well supported and suggest that the WD-FAB could be used to assess PF and BH function related to work disability. Variation in scale performance suggests the need for future work on item replenishment and refinement, particularly with regard to the Self-Efficacy scale.

Development of a computer-adaptive physical function instrument for Social Security Administration disability determination.

OBJECTIVES: To develop and test an instrument to assess physical function for Social Security Administration (SSA) disability programs, the SSA-Physical Function (SSA-PF) instrument. Item response theory (IRT) analyses were used to (1) create a calibrated item bank for each of the factors identified in prior factor analyses, (2) assess the fit of the items within each scale, (3) develop separate computer-adaptive testing (CAT) instruments for each scale, and (4) conduct initial psychometric testing. DESIGN: Cross-sectional data collection; IRT analyses; CAT simulation. SETTING: Telephone and Internet survey. PARTICIPANTS: Two samples: SSA claimants (n=1017) and adults from the U.S. general population (n=999). INTERVENTIONS: None. MAIN OUTCOME MEASURES: Model fit statistics, correlation, and reliability coefficients. RESULTS: IRT analyses resulted in 5 unidimensional SSA-PF scales: Changing & Maintaining Body Position, Whole Body Mobility, Upper Body Function, Upper Extremity Fine Motor, and Wheelchair Mobility for a total of 102 items. High CAT accuracy was demonstrated by strong correlations between simulated CAT scores and those from the full item banks. On comparing the simulated CATs with the full item banks, very little loss of reliability or precision was noted, except at the lower and upper ranges of each scale. No difference in response patterns by age or sex was noted. The distributions of claimant scores were shifted to the lower end of each scale compared with those of a sample of U.S. adults. CONCLUSIONS: The SSA-PF instrument contributes important new methodology for measuring the physical function of adults applying to the SSA disability programs. Initial evaluation revealed that the SSA-PF instrument achieved considerable breadth of coverage in each content domain and demonstrated noteworthy psychometric properties.

Development of an instrument to measure behavioral health function for work disability: item pool construction and factor analysis.

OBJECTIVES: To develop a broad set of claimant-reported items to assess behavioral health functioning relevant to the Social Security disability determination processes, and to evaluate the underlying structure of behavioral health functioning for use in development of a new functional assessment instrument. DESIGN: Cross-sectional. SETTING: Community. PARTICIPANTS: Item pools of behavioral health functioning were developed, refined, and field tested in a sample of persons applying for Social Security disability benefits (N=1015) who reported difficulties working because of mental or both mental and physical conditions. INTERVENTIONS: None. MAIN OUTCOME MEASURE: Social Security Administration Behavioral Health (SSA-BH) measurement instrument. RESULTS: Confirmatory factor analysis (CFA) specified that a 4-factor model (self-efficacy, mood and emotions, behavioral control, social interactions) had the optimal fit with the data and was also consistent with our hypothesized conceptual framework for characterizing behavioral health functioning. When the items within each of the 4 scales were tested in CFA, the fit statistics indicated adequate support for characterizing behavioral health as a unidimensional construct along these 4 distinct scales of function. CONCLUSIONS: This work represents a significant advance both conceptually and psychometrically in assessment methodologies for work-related behavioral health. The measurement of behavioral health functioning relevant to the context of work requires the assessment of multiple dimensions of behavioral health functioning. Specifically, we identified a 4-factor model solution that represented key domains of work-related behavioral health functioning. These results guided the development and scale formation of a new SSA-BH instrument.

Conceptual foundation for measures of physical function and behavioral health function for Social Security work disability evaluation.

Physical and mental impairments represent the 2 largest health condition categories for which workers receive Social Security disability benefits. Comprehensive assessment of physical and mental impairments should include aspects beyond medical conditions such as a person's underlying capabilities as well as activity demands relevant to the context of work. The objective of this article is to describe the initial conceptual stages of developing new measurement instruments of behavioral health and physical functioning relevant for Social Security work disability evaluation purposes. To outline a clear conceptualization of the constructs to be measured, 2 content models were developed using structured and informal qualitative approaches. We performed a structured literature review focusing on work disability and incorporating aspects of the International Classification of Functioning, Disability and Health as a unifying taxonomy for framework development. Expert interviews provided advice and consultation to enhance face validity of the resulting content models. The content model for work-related behavioral health function identifies 5 major domains: (1) behavior control, (2) basic interactions, (3) temperament and personality, (4) adaptability, and (5) workplace behaviors. The content model describing physical functioning includes 3 domains: (1) changing and maintaining body position, (2) whole-body mobility, and (3) carrying, moving, and handling objects. These content models informed subsequent measurement properties including item development and measurement scale construction, and provided conceptual coherence guiding future empirical inquiry. The proposed measurement approaches show promise to comprehensively and systematically assess physical and behavioral health functioning relevant to work.

Development of a self-report physical function instrument for disability assessment: item pool construction and factor analysis.

OBJECTIVES: To build a comprehensive item pool representing work-relevant physical functioning and to test the factor structure of the item pool. These developmental steps represent initial outcomes of a broader project to develop instruments for the assessment of function within the context of Social Security Administration (SSA) disability programs. DESIGN: Comprehensive literature review; gap analysis; item generation with expert panel input; stakeholder interviews; cognitive interviews; cross-sectional survey administration; and exploratory and confirmatory factor analyses to assess item pool structure. SETTING: In-person and semistructured interviews and Internet and telephone surveys. PARTICIPANTS: Sample of SSA claimants (n=1017) and a normative sample of adults from the U.S. general population (n=999). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Model fit statistics. RESULTS: The final item pool consisted of 139 items. Within the claimant sample, 58.7% were white; 31.8% were black; 46.6% were women; and the mean age was 49.7 years. Initial factor analyses revealed a 4-factor solution, which included more items and allowed separate characterization of: (1) changing and maintaining body position, (2) whole body mobility, (3) upper body function, and (4) upper extremity fine motor. The final 4-factor model included 91 items. Confirmatory factor analyses for the 4-factor models for the claimant and the normative samples demonstrated very good fit. Fit statistics for claimant and normative samples, respectively, were: Comparative Fit Index=.93 and .98; Tucker-Lewis Index=.92 and .98; and root mean square error approximation=.05 and .04. CONCLUSIONS: The factor structure of the physical function item pool closely resembled the hypothesized content model. The 4 scales relevant to work activities offer promise for providing reliable information about claimant physical functioning relevant to work disability.

Scale refinement and initial evaluation of a behavioral health function measurement tool for work disability evaluation.

OBJECTIVE: To use item response theory (IRT) data simulations to construct and perform initial psychometric testing of a newly developed instrument, the Social Security Administration Behavioral Health Function (SSA-BH) instrument, that aims to assess behavioral health functioning relevant to the context of work. DESIGN: Cross-sectional survey followed by IRT calibration data simulations. SETTING: Community. PARTICIPANTS: Sample of individuals applying for Social Security Administration disability benefits: claimants (n=1015) and a normative comparative sample of U.S. adults (n=1000). INTERVENTIONS: None. MAIN OUTCOME MEASURE: SSA-BH measurement instrument. RESULTS: IRT analyses supported the unidimensionality of 4 SSA-BH scales: mood and emotions (35 items), self-efficacy (23 items), social interactions (6 items), and behavioral control (15 items). All SSA-BH scales demonstrated strong psychometric properties including reliability, accuracy, and breadth of coverage. High correlations of the simulated 5- or 10-item computer adaptive tests with the full item bank indicated robust ability of the computer adaptive testing approach to comprehensively characterize behavioral health function along 4 distinct dimensions. CONCLUSIONS: Initial testing and evaluation of the SSA-BH instrument demonstrated good accuracy, reliability, and content coverage along all 4 scales. Behavioral function profiles of Social Security Administration claimants were generated and compared with age- and sex-matched norms along 4 scales: mood and emotions, behavioral control, social interactions, and self-efficacy. Using the computer adaptive test-based approach offers the ability to collect standardized, comprehensive functional information about claimants in an efficient way, which may prove useful in the context of the Social Security Administration's work disability programs.

Informatics Research on Mental Health Functioning: Decision Support for the Social Security Administration Disability Program.

The disability determination process of the Social Security Administration's (SSA's) disability program requires assessing work-related functioning for individual claimants alleging disability due to mental impairment. This task is particularly challenging because the determination process involves the review of a large file of information, including objective medical evidence and self-reports from claimants, families, and former employers. To improve this decision-making process, SSA entered an interagency agreement with the Rehabilitation Medicine Department, Epidemiology and Biostatistics Section, in the Clinical Center of the National Institutes of Health, intending to use data science and informatics to develop decision support tools. This collaborative effort over the past decade has led to the development of the Work Disability-Functional Assessment Battery and has initiated an approach to applying natural language processing to the review of claimants' files for information on mental health functioning. This informatics research collaboration holds promise for improving the process of disability determination for individuals with mental impairments who make claims at the SSA.

Linking job duties, functioning, and employment status using the Work-Disability Functional Assessment Battery (WD-FAB): An expert coding and quantitative analysis.

BACKGROUND: An understanding of the link between specific occupational demands and individual worker functioning is limited, although such information could permit an assessment of the fit between the two in a manner that would inform national and state disability programs such as vocational rehabilitation and Social Security disability programs. OBJECTIVE: Our goal was to examine the utility of assessing physical and mental functioning relative to self-reported job duties to identify the domains of worker functioning most likely to create barriers to fulfilling an occupation's specific requirements. METHODS: Through primary survey data collection, 1770 participants completed the Work-Disability Functional Assessment Battery (WD-FAB) instrument after reporting details on their occupations (or most recent occupation if not working). Expert coders evaluated the level of function expected to successfully carry out each self-reported job duty with respect to six scales of physical and mental function. Quantitative analysis is used to examine the relationship between functioning and job duties. RESULTS: Those not working due to disability were more likely to fall short of the threshold of the physical and mental functioning requirements of their last job's three main job duties compared to those currently employed. Mental function scales were most likely to be the area experiencing a shortfall. CONCLUSIONS: Functional difficulties impede the ability to continue working in particular jobs that require that ability. This points to a need for specific accommodations to be implemented to bridge the gap between job requirements and functional capacity so that workers may remain engaged in their current work.

Modulating Cognitive-Motor Multitasking with Commercial-off-the-Shelf Non-Invasive Brain Stimulation.

One growing area of multitasking research involves a focus on performing cognitive and motor tasks in tandem. In these situations, increasing either cognitive or motor demands has implications for performance in both tasks, an effect which is thought to be due to competing neural resources. Separate research suggests that non-invasive brain stimulation may offer a means to mitigate performance decrements experienced during multitasking. In the present study, we investigated the degree to which a commercially available non-invasive brain stimulation device (Halo Sport) alters balance performance in the presence of different types of cognitive demands. Specifically, we tested if performing a secondary cognitive task impacts postural sway in healthy young adults and if we could mitigate this impact using transcranial direct current stimulation (tDCS) applied over the primary motor cortex. Furthermore, we included conditions of unstable and stable surfaces and found that lower surface stability increased postural sway. In addition, we found that cognitive load impacted postural sway but in the opposite pattern we had anticipated, with higher sway found in the single-task control condition compared to executive function conditions. Finally, we found a small but significant effect of tDCS on balance with decreased sway for active (compared to sham) tDCS.

Information Extraction Framework for Disability Determination Using a Mental Functioning Use-Case.

Natural language processing (NLP) in health care enables transformation of complex narrative information into high value products such as clinical decision support and adverse event monitoring in real time via the electronic health record (EHR). However, information technologies for mental health have consistently lagged because of the complexity of measuring and modeling mental health and illness. The use of NLP to support management of mental health conditions is a viable topic that has not been explored in depth. This paper provides a framework for the advanced application of NLP methods to identify, extract, and organize information on mental health and functioning to inform the decision-making process applied to assessing mental health. We present a use-case related to work disability, guided by the disability determination process of the US Social Security Administration (SSA). From this perspective, the following questions must be addressed about each problem that leads to a disability benefits claim: When did the problem occur and how long has it existed? How severe is it? Does it affect the person's ability to work? and What is the source of the evidence about the problem? Our framework includes 4 dimensions of medical information that are central to assessing disability-temporal sequence and duration, severity, context, and information source. We describe key aspects of each dimension and promising approaches for application in mental functioning. For example, to address temporality, a complete functional timeline must be created with all relevant aspects of functioning such as intermittence, persistence, and recurrence. Severity of mental health symptoms can be successfully identified and extracted on a 4-level ordinal scale from absent to severe. Some NLP work has been reported on the extraction of context for specific cases of wheelchair use in clinical settings. We discuss the links between the task of information source assessment and work on source attribution, coreference resolution, event extraction, and rule-based methods. Gaps were identified in NLP applications that directly applied to the framework and in existing relevant annotated data sets. We highlighted NLP methods with the potential for advanced application in the field of mental functioning. Findings of this work will inform the development of instruments for supporting SSA adjudicators in their disability determination process. The 4 dimensions of medical information may have relevance for a broad array of individuals and organizations responsible for assessing mental health function and ability. Further, our framework with 4 specific dimensions presents significant opportunity for the application of NLP in the realm of mental health and functioning beyond the SSA setting, and it may support the development of robust tools and methods for decision-making related to clinical care, program implementation, and other outcomes.

The Specificity of Cognitive-Motor Dual-Task Interference on Balance in Young and Older Adults.

Standing upright on stable and unstable surfaces requires postural control. Postural control declines as humans age, presenting greater risk of fall-related injury and other negative health outcomes. Secondary cognitive tasks can further impact balance, which highlights the importance of coordination between cognitive and motor processes. Past research indicates that this coordination relies on executive function (EF; the ability to control, maintain, and flexibly direct attention to achieve goals), which coincidentally declines as humans age. This suggests that secondary cognitive tasks requiring EF may exert a greater influence on balance compared to non-EF secondary tasks, and this interaction could be exaggerated among older adults. In the current study, we had younger and older adults complete two Surface Stability conditions (standing upright on stable vs. unstable surfaces) under varying Cognitive Load; participants completed EF (Shifting, Inhibiting, Updating) and non-EF (Processing Speed) secondary cognitive tasks on tablets, as well as a single task control scenario with no secondary cognitive task. Our primary balance measure of interest was sway area, which was measured with an array of wearable inertial measurement unit sensors. Replicating prior work, we found a main effect of Surface Stability with less sway on stable surfaces compared to unstable surfaces, and we found an interaction between Age and Surface Stability with older adults exhibiting significantly greater sway selectively on unstable surfaces compared to younger adults. New findings revealed a main effect of Cognitive Load on sway, with the single task condition having significantly less sway than two of the EF conditions (Updating and Shifting) and the non-EF condition (Processing Speed). We also found an interaction of Cognitive Load and Surface Stability on postural control, where Surface Stability impacted sway the most for the single task and two of the executive function conditions (Inhibition and Shifting). Interestingly, Age did not interact with Cognitive Load, suggesting that both age groups were equally impacted by secondary cognitive tasks, regardless the presence or type of secondary cognitive task. Taken together, these patterns suggest that cognitive demands vary in their impact on posture control across stable vs. unstable surfaces, and that EF involvement may not be the driving mechanism explaining cognitive-motor dual-task interference on balance.