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Administering a sustained attention test often takes a lengthy time, which can hamper routine assessments in clinical settings. Therefore, we first proposed a method to reduce the time needed for administering a sustained attention test (the Computerized Digit Vigilance Test, C-DVT). The method was to retrieve 5 segments from different trial positions of the original C-DVT testing. Then we compared the concurrent validity, convergent validity, and random measurement error of the examinees' performance on these segments to find the segment with better psychometric properties. The 5 segments were as follows: the first 50% of testing, the 21st~50th percentile of testing, the first 60% of testing, the 31st~60th percentile of testing, and the 36th~65th percentile of testing. Then we compared the validities and random measurement error of the examinees' performance on these segments. Ninety patients with stroke participated in the validity study, and 44 of them participated in the random measurement error study. The patients' scores on the 5 segments were highly correlated with those of the C-DVT (Pearson's r ≥ 0.98), indicating excellent concurrent validity. The patients' scores on the 5 segments were moderately correlated with those of the Tablet-based Symbol Digit Modalities Test (Pearson's r = -0.51~-0.48), indicating sufficient convergent validity. The amounts of random measurement error (percent standard error of measurement) were all limited: 5.1% for the C-DVT, 6.6% for the first 50% of testing, 6.0% for the 21st~50th percentile of testing, 6.1% for the first 60% of testing, 6.0% for the 31st~60th percentile of testing, and 6.1% for the 36th~65th percentile of testing. The patients needed on average 3~4 minutes to complete all the aforementioned testing. The patients' scores on the 5 segments showed excellent concurrent validity, sufficient convergent validity, and limited amounts of random measurement error in patients with stroke. We suggest the 31st~60th percentile of testing segment for users because it had the lowest amount of random measurement error and can reduce the time needed for formal testing by about 40%.

No studies have compared the 2-factor structures of Wong's and Post's versions of the short-form Stroke-Specific Quality of Life (i.e., 12-item SSQOL) scale. This study compared the construct validity of 2 short-forms of the 12-item-SSQOL (not the 12-domain-SSQOL).Data were obtained from a previous validation study of the original 49-item SSQOL in 263 patients. Construct validity was tested by confirmatory factor analysis (CFA) to examine whether the two-factor structure, including psychosocial and physical domains, was supported in both versions. The CFA tested the data-model fit by indices: chi-square χ2/df ratio, root mean square error of approximation (RMSEA), comparative fit index (CFI), nonnormative fit index (NNFI), standard root mean square residual (SRMR), and parsimony normed fit index (PNFI). Item factor loadings (cutoffs: .50) were examined. Model fit was compared using Akaike information criterion (AIC) and consistent AIC (i.e., CAIC) values.All model fit indices for Post's version fell within expected ranges: χ2/df ratio = 2.02, RMSEA = 0.05, CFI = 0.97, NNFI = 0.97, SRMR = 0.06, and PNFI = 0.76. In the psychosocial domain, the item factor loadings ranged from 0.46 to 0.63. In the physical domain, all items (except the language and vision items) had acceptable factor loadings (0.68 to 0.88). However, in Wong's version, none of the model indices met the criteria for good fit. In model fit comparisons, Post's version had smaller AIC and CAIC values than did Wong's version.All fit indices supported Post's version, but not Wong's version. The construct validity of Post's version with a 2-factor structure was confirmed, and this version of the 12-item SSQOL is recommended.

Objective. The Fugl-Meyer assessment for upper extremity (FMA-UE) is a measure for assessing upper extremity motor function in patients with stroke. However, the considerable administration time of the assessment decreases its feasibility. This study aimed to develop an accumulative assessment system of upper extremity motor function (AAS-UE) based on the FMA-UE to improve administrative efficiency while retaining sufficient psychometric properties. Methods. The study used secondary data from 3 previous studies having FMA-UE datasets, including 2 follow-up studies for subacute stroke individuals and 1 test-retest study for individuals with chronic stroke. The AAS-UE adopted deep learning algorithms to use patients' prior information (ie, the FMA-UE scores in previous assessments, time interval of adjacent assessments, and chronicity of stroke) to select a short and personalized item set for the following assessment items and reproduce their FMA-UE scores. Results. Our data included a total of 682 patients after stroke. The AAS-UE administered 10 different items for each patient. The AAS-UE demonstrated good concurrent validity (r =0.97-0.99 with the FMA-UE), high test-retest reliability (intra-class correlation coefficient=0.96), low random measurement error (percentage of minimal detectable change=15.6%), good group-level responsiveness (standardized response mean=0.65-1.07), and good individual-level responsiveness (30.5%-53.2% of patients showed significant improvement). These psychometric properties were comparable to those of the FMA-UE. Conclusion. The AAS-UE uses an innovative assessment method, which makes good use of patients' prior information to achieve administrative efficiency with good psychometric properties. Impact. This study demonstrates a new assessment method to improve administrative efficiency while retaining psychometric properties, especially individual-level responsiveness and random measurement error, by making good use of patients' basic information and medical records. [ABSTRACT FROM AUTHOR]

Objective: The purposes of this study were to examine the test-retest reliability, concurrent validity, and ecological validity of the Computerized Digit Vigilance Test (C-DVT) in patients with schizophrenia. Method: Each participant was assessed four times, with 1-week intervals. In each assessment, the participants completed both the C-DVT and the original DVT. The participants were also assessed using the Lawton Instrumental Activities of Daily Living Scale (LIADL) and the Personal and Social Performance Scale (PSP). Results: Forty-nine participants were recruited in this study. The results showed that the test-retest agreement of the C-DVT was good-toexcellent (intraclass correlation coefficient = 0.71-0.89). The random measurement errors of the C-DVT were acceptable (percentages of minimal detectable change = 12.9%-24.1%). The practice effect of the C-DVT reached a plateau after three assessments (effect size <0.20). The concurrent validity of the C-DVT was good (r = .75-.79 with DVT) when we controlled for the randomized administration order of the two tests. The ecological validity of the C-DVT was good (r = −.44 with the LIADL; r = −.45 with the PSP). Conclusions: The C-DVT had acceptable test-retest reliability, sound concurrent validity, and sound ecological validity in patients with schizophrenia. These findings indicate that the C-DVT has the potential to be a reliable and valid test of sustained attention in patients with schizophrenia. [ABSTRACT FROM AUTHOR]

Importance: Coloring is popular with preschool children and reveals their developmental state. However, interpreting coloring performances is challenging because descriptive and subjective evaluations are commonly used with large variations., Objective: To develop a scoring method to objectively quantify children's coloring skills., Design: Colored blank train templates were analyzed using four indicators (entropy, complexity, coloring outside the lines, and unexpected blank areas) to form a summed score., Setting: Kindergarten in a urban city (Tainan, Taiwan)., Participants: Two hundred thirty-nine typically developing children ages 3 to 6 yr., Outcome and Measures: A newly developed method to assess coloring skill on the basis of a colored picture of a train., Results: The summed score exhibited good internal consistency (Cronbach's α = .80), discriminative validity (p = .04), convergent validity (rs = .66 and .59 with age and visual-motor integration), and acceptable factorial validity (comparative fit index = .99, standardized root-mean-square residual = .04, and root-mean-square error of approximation = .13). Moreover, three coloring patterns (mature, transitional, and immature) were identified., Conclusions and Relevance: The new method provides objective, reliable, and valid scores representing coloring skills in typically developing children. In addition, the coloring patterns can be recognized. This method can be used to facilitate comparisons of children's coloring skills with peers and provide valuable insight into children's development. Plain-Language Summary: This study proposes a new method to objectively quantify children's coloring skills with sound reliability and validity in typically developing children. The method can be used to evaluate children's coloring skills and patterns to shed light on their developmental stages., (Copyright © 2024 by the American Occupational Therapy Association, Inc.)

The degradation of AlGaN-based UVC LEDs under constant temperature and constant current stress for up to 500 hrs was analyzed in this work. During each degradation stage, the two-dimensional (2D) thermal distributions, I-V curves, optical powers, combining with focused ion beam and scanning electron microscope (FIB/SEM), were thoroughly tested and analyzed the properties and failure mechanisms of UVC LEDs. The results show that: 1) the opto-electrical characteristics measured before/during stress indicate that the increased leakage current and the generation of stress-induced defects increase the non-radiative recombination in the early stress stage, resulting in a decrease in optical power; 2) the increase of temperature caused by the deterioration of the Cr/Al layer of p-metal after 48 hrs of stress aggravates the optical power in UVC LEDs. The 2D thermal distribution in conjunction with FIB/SEM provide a fast and visual way to precisely locate and analyze the failure mechanisms of UVC LEDs.

Importance: Several short forms of the Stroke Impact Scale Version 3.0 (SIS 3.0) have been proposed in order to decrease its administration time of about 20 min. However, none of the short-form scores are comparable to those of the original measure., Objective: To develop a short-form SIS 3.0 using a machine learning algorithm (ML-SIS)., Design: We developed the ML-SIS in three stages. First, we calculated the frequencies of items having the highest contribution to predicting the original domain scores across 50 deep neural networks. Second, we iteratively selected the items showing the highest frequency until the coefficient of determination (R2) of each domain was ≥.90. Third, we examined the comparability and concurrent and convergent validity of the ML-SIS., Setting: Hospitals., Participants: We extracted complete data for 1,010 patients from an existing data set., Results: Twenty-eight items were selected for the ML-SIS. High average R2s (.90-.96) and small average residuals (mean absolute errors and root-mean-square errors = 0.49-2.84) indicate good comparability. High correlations (rs = .95-.98) between the eight domain scores of the ML-SIS and the SIS 3.0 indicate sufficient concurrent validity. Similar interdomain correlations between the two measures indicate satisfactory convergent validity., Conclusions and Relevance: The ML-SIS uses about half of the items in the SIS 3.0, has an estimated administration time of 10 min, and provides valid scores comparable to those of the original measure. Thus, the ML-SIS may be an efficient alternative to the SIS 3.0. What This Article Adds: The ML-SIS, a short form of the SIS 3.0 developed using a machine learning algorithm, shows good potential to be an efficient and informative measure for clinical settings, providing scores that are valid and comparable to those of the original measure., (Copyright © 2022 by the American Occupational Therapy Association, Inc.)

Importance: The Stroke Impact Scale 3.0 appears to be a promising outcome measure of health-related quality of life (HRQOL) for clients with stroke. However, because the factorial validity of the Stroke Impact Scale 3.0 remains unclear, its validity is limited., Objective: To examine the underlying structure of the Stroke Impact Scale 3.0 by comparing the currently available eight- and four-domain structures simultaneously., Design: Secondary data analysis of responses to the Stroke Impact Scale 3.0 from a previous psychometric validation study., Setting: Five general hospitals in northern and southern Taiwan., Participants: Two hundred sixty-three patients with stroke from rehabilitation wards (inpatients) and neurology and rehabilitation clinics (outpatients)., Outcomes and Measures: Confirmatory factor analysis was used to examine the eight- and four-domain structures of the Stroke Impact Scale 3.0. Four fit indices were considered simultaneously to examine the model fits of both structures., Results: The eight- and four-domain structures of the Stroke Impact Scale 3.0 were not supported by all four indices (χ²/df = 2.7 and 5.0, comparative fit index = .79 and .86, root mean square error of approximation = .08 and .12, standardized root mean square residual = .08 and .08, respectively). The unidimensionality of each domain in the two structures was not supported., Conclusions and Relevance: Neither the eight- nor the four-domain structure of the Stroke Impact Scale 3.0 was supported, suggesting that scores may not provide valid assessments of HRQOL in clients with stroke. Further modification and validation of the Stroke Impact Scale 3.0 are warranted., What This Article Adds: Our findings suggest that the eight- and four-domain scores of the Stroke Impact Scale 3.0 may not be valid. Therefore, until more supporting evidence is developed, these scores should be interpreted cautiously in regard to clients' HRQOL; alternatively, other measures could be used., (Copyright © 2021 by the American Occupational Therapy Association, Inc.)

Importance: The most frequently used measures of facial emotion recognition (FER) are insufficiently comprehensive, reliable, valid, and efficient; moreover, the impact of gender on scoring has not been controlled., Objective: To develop a computerized adaptive test of FER for adults with schizophrenia., Design: First, we selected photographs from a published database. Second, items that fitted well to a Rasch model were used to form the item bank. Third and last, we determined the best administration mode for prospective users to achieve both high reliability and efficiency., Setting: Psychiatric hospitals and the community., Participants: Adults living with schizophrenia (n = 351) and adults without diagnosed mental illness (n = 101)., Results: After removal of misfit items (infit or outfit ≥1.4), the remaining 165 items were selected to form an item bank. Among them, 39 showed severe gender bias, so the item difficulties were adjusted accordingly. On the basis of the item bank, two administration modes were recommended for prospective users. The reliable mode required approximately 128 items (nearly 20 min) to achieve reliability (.72-.81), similar to that of the entire item bank. The efficient mode required approximately 73 items (approximate 11 min) to provide acceptable reliability (.69-.73) for the seven domain scores., Conclusions and Relevance: Our newly developed measure provides comprehensive, valid, and unbiased (to examinees' gender) assessments of FER in adults living with schizophrenia. In addition, the administration modes can be flexibly changed to optimize the reliability or efficiency for prospective users., What This Article Adds: This newly developed FER measure can help occupational therapists identify deficits in recognizing specific basic emotions and plan corresponding interventions to manage the impact on their clients' social functions., (Copyright © 2021 by the American Occupational Therapy Association, Inc.)