A noise audit of human-labeled benchmarks for machine commonsense reasoning.

With the advent of large language models, evaluating and benchmarking these systems on important AI problems has taken on newfound importance. Such benchmarking typically involves comparing the predictions of a system against human labels (or a single 'ground-truth'). However, much recent work in psychology has suggested that most tasks involving significant human judgment can have non-trivial degrees of noise. In his book, Kahneman suggests that noise may be a much more significant component of inaccuracy compared to bias, which has been studied more extensively in the AI community. This article proposes a detailed noise audit of human-labeled benchmarks in machine commonsense reasoning, an important current area of AI research. We conduct noise audits under two important experimental conditions: one in a smaller-scale but higher-quality labeling setting, and another in a larger-scale, more realistic online crowdsourced setting. Using Kahneman's framework of noise, our results consistently show non-trivial amounts of level, pattern, and system noise, even in the higher-quality setting, with comparable results in the crowdsourced setting. We find that noise can significantly influence the performance estimates that we obtain of commonsense reasoning systems, even if the 'system' is a human; in some cases, by almost 10 percent. Labeling noise also affects performance estimates of systems like ChatGPT by more than 4 percent. Our results suggest that the default practice in the AI community of assuming and using a 'single' ground-truth, even on problems requiring seemingly straightforward human judgment, may warrant empirical and methodological re-visiting.

Natural language processing (NLP) to facilitate abstract review in medical research: the application of BioBERT to exploring the 20-year use of NLP in medical research.

BACKGROUND: Abstract review is a time and labor-consuming step in the systematic and scoping literature review in medicine. Text mining methods, typically natural language processing (NLP), may efficiently replace manual abstract screening. This study applies NLP to a deliberately selected literature review problem, the trend of using NLP in medical research, to demonstrate the performance of this automated abstract review model. METHODS: Scanning PubMed, Embase, PsycINFO, and CINAHL databases, we identified 22,294 with a final selection of 12,817 English abstracts published between 2000 and 2021. We invented a manual classification of medical fields, three variables, i.e., the context of use (COU), text source (TS), and primary research field (PRF). A training dataset was developed after reviewing 485 abstracts. We used a language model called Bidirectional Encoder Representations from Transformers to classify the abstracts. To evaluate the performance of the trained models, we report a micro f1-score and accuracy. RESULTS: The trained models' micro f1-score for classifying abstracts, into three variables were 77.35% for COU, 76.24% for TS, and 85.64% for PRF. The average annual growth rate (AAGR) of the publications was 20.99% between 2000 and 2020 (72.01 articles (95% CI: 56.80-78.30) yearly increase), with 81.76% of the abstracts published between 2010 and 2020. Studies on neoplasms constituted 27.66% of the entire corpus with an AAGR of 42.41%, followed by studies on mental conditions (AAGR = 39.28%). While electronic health or medical records comprised the highest proportion of text sources (57.12%), omics databases had the highest growth among all text sources with an AAGR of 65.08%. The most common NLP application was clinical decision support (25.45%). CONCLUSIONS: BioBERT showed an acceptable performance in the abstract review. If future research shows the high performance of this language model, it can reliably replace manual abstract reviews.

Service Quality and Residents' Preferences for Facilitated Self-Service Fundus Disease Screening: Cross-Sectional Study.

BACKGROUND: Fundus photography is the most important examination in eye disease screening. A facilitated self-service eye screening pattern based on the fully automatic fundus camera was developed in 2022 in Shanghai, China; it may help solve the problem of insufficient human resources in primary health care institutions. However, the service quality and residents' preference for this new pattern are unclear. OBJECTIVE: This study aimed to compare the service quality and residents' preferences between facilitated self-service eye screening and traditional manual screening and to explore the relationships between the screening service's quality and residents' preferences. METHODS: We conducted a cross-sectional study in Shanghai, China. Residents who underwent facilitated self-service fundus disease screening at one of the screening sites were assigned to the exposure group; those who were screened with a traditional fundus camera operated by an optometrist at an adjacent site comprised the control group. The primary outcome was the screening service quality, including effectiveness (image quality and screening efficiency), physiological discomfort, safety, convenience, and trustworthiness. The secondary outcome was the participants' preferences. Differences in service quality and the participants' preferences between the 2 groups were compared using chi-square tests separately. Subgroup analyses for exploring the relationships between the screening service's quality and residents' preference were conducted using generalized logit models. RESULTS: A total of 358 residents enrolled; among them, 176 (49.16%) were included in the exposure group and the remaining 182 (50.84%) in the control group. Residents' basic characteristics were balanced between the 2 groups. There was no significant difference in service quality between the 2 groups (image quality pass rate: P=.79; average screening time: P=.57; no physiological discomfort rate: P=.92; safety rate: P=.78; convenience rate: P=.95; trustworthiness rate: P=.20). However, the proportion of participants who were willing to use the same technology for their next screening was significantly lower in the exposure group than in the control group (P<.001). Subgroup analyses suggest that distrust in the facilitated self-service eye screening might increase the probability of refusal to undergo screening (P=.02). CONCLUSIONS: This study confirms that the facilitated self-service fundus disease screening pattern could achieve good service quality. However, it was difficult to reverse residents' preferences for manual screening in a short period, especially when the original manual service was already excellent. Therefore, the digital transformation of health care must be cautious. We suggest that attention be paid to the residents' individual needs. More efficient man-machine collaboration and personalized health management solutions based on large language models are both needed.

Remixing Preferences for Western Instrumental Classical Music of Bilateral Cochlear Implant Users.

For people with profound hearing loss, a cochlear implant (CI) is able to provide access to sounds that support speech perception. With current technology, most CI users obtain very good speech understanding in quiet listening environments. However, many CI users still struggle when listening to music. Efforts have been made to preprocess music for CI users and improve their music enjoyment. This work investigates potential modifications of instrumental music to make it more accessible for CI users. For this purpose, we used two datasets with varying complexity and containing individual tracks of instrumental music. The first dataset contained trios and it was newly created and synthesized for this study. The second dataset contained orchestral music with a large number of instruments. Bilateral CI users and normal hearing listeners were asked to remix the multitracks grouped into melody, bass, accompaniment, and percussion. Remixes could be performed in the amplitude, spatial, and spectral domains. Results showed that CI users preferred tracks being panned toward the right side, especially the percussion component. When CI users were grouped into frequent or occasional music listeners, significant differences in remixing preferences in all domains were observed.

The Self-Narrative Role in the Diagnosis of Motivation to Achieve Personal Success.

This study aims to investigate the efficacy of self-narrative as a tool for identifying personality traits conducive to motivation for success. The research employs several methodologies, including the "Readiness for Self-Development" test by V.L. Pavlov, the Achievement Motivation Diagnosis test, and the katathym imaginative psychotherapy motive "Mountain" as a form of self-narrative. Psycholinguistic analysis tools such as the verbosity coefficient, embolism coefficient, and correlation coefficient are utilized. Through empirical analysis of self-narratives, criteria for evaluating motivational potential are established. Quantitative and qualitative analyses of respondent narratives reveal distinct patterns. Coefficients derived from psycholinguistic analysis indicate a correlation between self-narratives and motivation for achievement. Respondents demonstrating motivation for success and readiness for self-development exhibit lower verbosity and embolism coefficients. Conversely, those with a tendency to avoid failure and low readiness for self-development tend to employ narratives rich in superficial language elements. The findings suggest that self-narrative analysis can effectively gauge an individual's motivational tendencies and readiness for personal development. This method holds promise as a tool for identifying and nurturing talent within organizations, particularly in the context of forming a vertical personnel reserve. By understanding the motivational drivers revealed through self-narratives, organizations can better tailor their approaches to talent management and development.

Decadal Analysis of ESBL-Escherichia coli Antibiotic Resistance Patterns in Urine Samples from Nepal: A Systematic Review and Meta-Analysis.

BACKGROUND: This systematic review aimed to determine the antimicrobial resistance pattern of the extended-spectrum ß-lactamases producing Escherichia coli (ESBL-EC) in urine samples in Nepal. METHODS: Systematic literature review was conducted to locate all articles reporting ESBL-EC in urine samples published between January 2012 to December 2022. The Egger's weighted regression analysis was done to assess the publication bias. A random-effects model was used to calculate the pooled prevalence and corresponding 95% confidence interval due to significant between-study heterogeneity. The strength of correlation between multidrug resistance and ESBL production in E.coli strains was determined using Pearson's correlation coefficient. The data were analyzed using R-language 4.2.2. software. RESULTS: The combined prevalence of E.coli in urine samples was found to be 14 % (95% CI, 11-18), while the overall pooled prevalence of ESBL E.coli and MDR E.coli were 30% (95% CI, 20-42) and 70% (95% CI, 38-90) respectively. A strong positive correlation of 0.99 (95% CI, 0.89-1.0) was found between ESBL production and MDR among E.coli isolates. Imipenem was the drug of choice against ESBL-E.coli in urine specimens. CONCLUSIONS: Our analyses showed the overall ESBL-EC and MDR-EC burden in Nepal is considerably high. Likewise, the study also infers an increasing trend of antibiotic resistance pattern of ESBL-EC in urine samples.

Validity and reliability of the Turkish version of the transition of primiparas becoming mothers scale.

BACKGROUND: The transition to motherhood is an important life event in a woman's life and represents an important developmental process that brings physical, psychological and social changes to gain a new role. However, research on the transition to motherhood in Turkish society is scarce. There is a need for a comprehensive, practical and reliable tool to evaluate the transition to motherhood in primiparous mothers. This study evaluated the reliability and validity of the Turkish version of the Transition of Primiparous Becoming Mothers Scale (TMP-S) to evaluate the transition process of primiparous mothers to motherhood. METHODS: This methodological research was carried out in obstetrics and gynecology outpatient clinics, pediatric outpatient clinics, and family health centers of a hospital in Türkiye. The sample consisted of primiparous mothers of 0 to 6- month-old babies who visited clinics and family health centers for routine postnatal examinations (n ​​= 305). After evaluating the language equivalence and content validity of the scale, test-retest reliability, internal consistency and construct validity were examined. Factor analysis, Pearson's correlation, retest reliability, and Cronbach's alpha were employed to evaluate structural validity and reliability. RESULTS: The final TPM-S had two dimensions with 25 items. Exploratory factor analysis revealed a two-factor solution, which accounted for 59.276% of the variance. Confirmatory factor analysis showed that the model fit of the two-factor model also reached a satisfactory model ft after modification. The comparative fit index was 0.894, the Tucker‒Lewis index was 0.882, and the root mean square error of approximation was 0.079. The content validity index of the scale ranged from 0.56 ~ 0.77. The Cronbach's alpha coefficient was 0.93 for the total scale, and the test-retest reliability was 0.96. CONCLUSIONS: It is a valid and reliable tool for evaluating the transition to motherhood among primiparous mothers of 0 to 6 month-old babies in Türkiye. Turkish researchers and healthcare professionals can routinely apply this measurement tool to primiparous mothers in the first six months after birth to evaluate their transition to motherhood.

How Network Structure Shapes Languages: Disentangling the Factors Driving Variation in Communicative Agents.

Languages show substantial variability between their speakers, but it is currently unclear how the structure of the communicative network contributes to the patterning of this variability. While previous studies have highlighted the role of network structure in language change, the specific aspects of network structure that shape language variability remain largely unknown. To address this gap, we developed a Bayesian agent-based model of language evolution, contrasting between two distinct scenarios: language change and language emergence. By isolating the relative effects of specific global network metrics across thousands of simulations, we show that global characteristics of network structure play a critical role in shaping interindividual variation in language, while intraindividual variation is relatively unaffected. We effectively challenge the long-held belief that size and density are the main network structural factors influencing language variation, and show that path length and clustering coefficient are the main factors driving interindividual variation. In particular, we show that variation is more likely to occur in populations where individuals are not well-connected to each other. Additionally, variation is more likely to emerge in populations that are structured in small communities. Our study provides potentially important insights into the theoretical mechanisms underlying language variation.

Language as social action: Gertrude Buck, the "Michigan School" of rhetoric, and pragmatist philosophy.

In the late 19th and early 20th centuries, Gertrude Buck and collaborators developed a sociologically and pragmatist-informed approach to language that has been neglected in later scholarship. Buck approached the study of language from the standpoint of pragmatist functional psychology, which is indebted to John Dewey's pragmatism at the University of Michigan, and which views language as a normal, dynamic action of human organisms engaged in necessary cooperative relations with one another. Her approach overcomes the small-minded pragmatism that would criticize figurative or poetic language as impractical, and instead shows how figuration is essential to the particular ways in which language is action that conveys meaning to others and serves broader social functions. Buck's forgotten work helps overcome criticisms of the application of pragmatic action theory to language and literature, sketching how language structure may be explained on the basis of language as a natural social-communicative act, how figurative language is inherent in the normal act of communicating situated bodily experiences to others, and how rhetorical speech and writing contributes to participation in democratic social processes. This paper also indicates how Buck's work has been partially rediscovered in Composition Studies, as well as prefigures later reader-response esthetics and feminist analyses of language.

Validity and reliability of the Foot Care Scale for Older Diabetics in Turkish society.

BACKGROUND: Older patients with diabetes have behaviors and practices in foot care that differ from those of younger patients. There is a need for a tool to assess the foot care of patients with diabetes who are over the age of 65 years. PURPOSE: This study aimed to assess the validity and reliability of the long and short versions of the Foot Care Scale for Older Diabetics (FCS-OD) in Turkish society. METHODS: A total of 172 older patients with diabetes participated in the study. Language validity, content validity, construct validity, Cronbach's alpha coefficient value, item-scale correlations, parallel form reliability, and test-retest correlations were used to assess the Turkish version of FCS-OD. A patient identification form, FCS-OD, Diabetic Foot Care Self-Efficacy Scale, and Foot Self-Care Behavior Scale were used for data collection. RESULTS: Turkish versions of the FCS-OD, both short and long versions, were at acceptable levels regarding their content (content validity index: 0.964, 0.975) and construct (factor loadings > 0.4). Both versions of the scale showed a high level of internal consistency as demonstrated by Cronbach's alpha values (short version, 0.802; long version, 0.905) and item-scale correlations (> 0.3). Both versions of the scale were stable over time and compared to the parallel forms. CONCLUSIONS: Both versions of the scale were found to be valid and reliable for Turkish society with regard to psychometric properties.

THE EFFECT OF A MULTIMODAL APPROACH ON THE RESULTS OF TREATMENT IN SURGERY: INTEGRATION OF CHEMOTHERAPY, SURGERY, AND RADIOTHERAPY.

This study investigates the safety and efficacy of a multimodal approach, integrating radiotherapy, chemotherapy, and surgery for the management of cancer patients. This review systematically reviewed English-language literature from digital repositories, namely Web of Science, Scopus, Google Scholar, PubMed, and the Cochrane Library. The search strategy employed a targeted selection of keywords: "chemotherapy," "radiotherapy," "multimodal," and "surgery," encompassing publications published before January 2024. This comprehensive approach was designed to encapsulate the breadth of existing research on the integration of these therapeutic modalities in cancer treatment, ensuring a robust analysis of their collective efficacy and safety. While existing literature has examined the efficacy and safety of the multimodal approach in various cancer types, each study typically focuses on a single type, such as breast, brain, or bladder cancer. This review is distinguished by its evaluation of the approach's efficacy across different cancer types, including but not limited to breast, bladder, esophageal, salivary gland, and cervical cancers. The integration of chemotherapy, surgery, and radiotherapy emerges as the optimal strategy for cancer management, irrespective of cancer type or location. This approach is linked to the highest rates of disease-free survival, overall survival, and the lowest complication rates. However, further high-quality randomized trials are necessary to accurately assess the efficacy of this integrated approach in managing various cancer types.

Who is the majority group? Signaling majority group membership with name-based treatments in multilingual contexts: The case of Catalonia.

An increasing body of work has shown how the selection of names shapes patterns of ethnic and racial discrimination in hiring observed in correspondence audit studies. A clear limitation of the existing research on name perceptions and ethnic discrimination in employment is that is predominantly based in the US, which limits its applicability to contexts with high linguistic diversity among the majority population. These territories confront a reality where language preferences and uses, social class, and ancestry are associated with specific names among the native majority group. The result is notable diversity in the labor market (dis)advantages conferred by different names within the majority population. To fill this gap, this article focuses on Catalonia, a diverse multilingual region and Spain's second most populated area. Using two complementary studies, this work identifies the direct influence of names in the hiring process (Study 1) and evaluates the associations between names and perceptions of geographic origin, social class, and linguistic competence (Study 2). The results show that having a Catalan name confers an advantage in the labour market via three mechanisms. First, names inform a perception of language proficiency, which is tied to an expectation of productivity. Second, names signal social class and certain names in the majority group (applicants with two Catalan surnames, a minority within the region), indicate higher social class, which affords an advantage. Third, some advantage could be linked to tastes that favor an ingroup for reasons of assumed cultural, historical, or political compatibility. The approach adopted in this article holds significant relevance to other research on ethnic discrimination conducted in multilingual contexts with comparable autochthonous diversity.

Construct validity, reliability, and threshold value for treatment goals of the Thai version of the 12-item Psoriatic Arthritis Impact of Disease Questionnaire for patients with psoriatic arthritis.

OBJECTIVE: To determine the construct validity, reliability, and treatment goal threshold of a Thai-language version of the 12-item Psoriatic Arthritis Impact of Disease (Thai-PsAID) questionnaire in patients with psoriatic arthritis (PsA). METHODS: This cross-sectional study involved administering the proposed Thai-PsAID to 117 Thai patients with PsA. Reliability was assessed by Cronbach's α test and intraclass correlation coefficient (ICC). Construct validity was assessed using Spearman correlation with clinical disease activity index for psoriatic arthritis (cDAPSA), the Health Assessment Questionnaire (HAQ), EQ-5D index, and the patient-acceptable symptom state (PASS). The optimal cutoff score of the Thai-PsAID for minimal disease activity (MDA) was determined by receiver operating characteristic curves. RESULTS: Participants had a mean age of 49.5 years, 61 (52.1%) were female, and the median disease duration was 5 years. The median Thai-PsAID score was 2.1, with a Cronbach's α coefficient of .95 and an ICC of 0.77. The mean time to complete the Thai-PsAID was 2.1 min, with no missing data. The Thai-PsAID score demonstrated a moderate correlation with the cDAPSA, HAQ, and EQ-5D with indices (Spearman's rho of .64, .54, and -.55, respectively). The cutoff of 2.7 has 81%-84% sensitivity and 69%-85% specificity for classifying patients with MDA, satisfied PASS, and indicating no need to escalate medication. CONCLUSIONS: The Thai-PsAID is a valid, reliable, and feasible tool for measuring PsA prognosis. A cutoff of 2.7 accurately discriminates MDA and PASS and indicates no need for medication escalation. The Thai-PsAID may be used as a standalone measure.

A psycholinguistic study of intergroup bias and its cultural propagation.

Intergroup bias is the tendency for people to inflate positive regard for their in-group and derogate the out-group. Across two online experiments (N = 922) this study revisits the methodological premises of research on language as a window into intergroup bias. Experiment 1 examined (i) whether the valence (positivity) of language production differs when communicating about an in- vs. out-group, and (ii) whether the extent of this bias is influenced by the positivity of input descriptors that were initially presented to participants as examples of how an in-group or out-group characterize themselves. Experiment 2 used the linear diffusion chain method to examine how biases are transmitted through cultural generations. Valence of verbal descriptions were quantified using ratings obtained from a large-scale psycholinguistic database. The findings from Experiment 1 indicated a bias towards employing positive language in describing the in-group (exhibiting in-group favoritism), particularly in cases where the input descriptors were negative. However, there was weak evidence for increased negativity aimed at the out-group (i.e., out-group derogation). The findings from Experiment 2 demonstrated that in-group positivity bias propagated across cultural generations at a higher rate than out-group derogation. The results shed light on the formation and cultural transmission of intergroup bias.

Evaluation of apparently healthy Egyptian infants and toddlers on the bayley-III scales according to age and sex.

BACKGROUND: Child development is shaped throughout the first years of life through the interaction of genetics and the environment. Bayley-III is valuably used to determine early developmental delay (DD). The aim of this study was to detect the differences in performance of a sample of apparently healthy Egyptian infants and toddlers on the Bayley-III scales in relation to their age and gender. METHODS: This was a cross-sectional study. Bayley scales were applied to 270 of the 300 recruited children following the inclusion criteria; to avoid potential risk factors affecting development. Assessment included cognitive, language and motor skills. Engaged children aged 18-42 months were divided into 4 age groups with six-month intervals. RESULTS: Approximately 78.4%, 76.2%, and 72% of the participants had average and above average scores in the cognitive, motor, and language domains, respectively. The language domain was characteristically impacted. The oldest age group (36-42 months) scored the highest means composite scores, while the 2nd group aged 24 - <30 months, scored the lowest means in the three evaluated domains. In general, girls had non-significantly higher composite scores than boys, with a small effect size (d = 0.2-0.4). In the language domain, girls aged 30 to < 36 months scored significantly higher composite scores than boys (p < 0.05), with a medium effect size (d = 0.73). CONCLUSION: The study indicates that the performance of apparently healthy Egyptian children on the Bayley III evaluation differs in relation to age and sex. The most vulnerable age group at potential risk of DD was children aged 24-30 months. Efforts must be directed to investigate the nutritional, physical, psychological and safety needs of this group. Attention must be paid to early childhood intervention programs that stimulate development, especially language development, and they must be tailored on the basis of age and gender. Gender-specific norms may be needed in the evaluation of language development.

BioBBC: a multi-feature model that enhances the detection of biomedical entities.

The rapid increase in biomedical publications necessitates efficient systems to automatically handle Biomedical Named Entity Recognition (BioNER) tasks in unstructured text. However, accurately detecting biomedical entities is quite challenging due to the complexity of their names and the frequent use of abbreviations. In this paper, we propose BioBBC, a deep learning (DL) model that utilizes multi-feature embeddings and is constructed based on the BERT-BiLSTM-CRF to address the BioNER task. BioBBC consists of three main layers; an embedding layer, a Long Short-Term Memory (Bi-LSTM) layer, and a Conditional Random Fields (CRF) layer. BioBBC takes sentences from the biomedical domain as input and identifies the biomedical entities mentioned within the text. The embedding layer generates enriched contextual representation vectors of the input by learning the text through four types of embeddings: part-of-speech tags (POS tags) embedding, char-level embedding, BERT embedding, and data-specific embedding. The BiLSTM layer produces additional syntactic and semantic feature representations. Finally, the CRF layer identifies the best possible tag sequence for the input sentence. Our model is well-constructed and well-optimized for detecting different types of biomedical entities. Based on experimental results, our model outperformed state-of-the-art (SOTA) models with significant improvements based on six benchmark BioNER datasets.

How children generalize novel nouns: An eye-tracking analysis of their generalization strategies.

Recent research has shown that comparisons of multiple learning stimuli which are associated with the same novel noun favor taxonomic generalization of this noun. These findings contrast with single-stimulus learning in which children follow so-called lexical biases. However, little is known about the underlying search strategies. The present experiment provides an eye-tracking analysis of search strategies during novel word learning in a comparison design. We manipulated both the conceptual distance between the two learning items, i.e., children saw examples which were associated with a noun (e.g., the two learning items were either two bracelets in a "close" comparison condition or a bracelet and a watch in a "far" comparison condition), and the conceptual distance between the learning items and the taxonomically related items in the generalization options (e.g., the taxonomic generalization answer; a pendant, a near generalization item; versus a bow tie, a distant generalization item). We tested 5-, 6- and 8-year-old children's taxonomic (versus perceptual and thematic) generalization of novel names for objects. The search patterns showed that participants first focused on the learning items and then compared them with each of the possible choices. They also spent less time comparing the various options with one another; this search profile remained stable across age groups. Data also revealed that early comparisons, (i.e., reflecting alignment strategies) predicted generalization performance. We discuss four search strategies as well as the effect of age and conceptual distance on these strategies.

Dementia-Related Disparities in Adult Day Centers: Results of a Bivariate Analysis.

PURPOSE: Adult day services (ADS) are a valuable resource for people living with Alzheimer's disease and Alzheimer's disease and related dementias (AD/ADRD) and serve a large population of late-life immigrants, often with limited English proficiency (LEP). This secondary data analysis examined potential disparities in diagnosis, dementia severity, medical complexity, and dementia-related behavioral problems in persons with AD/ADRD with LEP within the ADS setting. METHOD: The current study used data from TurboTAR, the electronic health record for ADS in California. Bivariate analyses were conducted to examine differences in clinical management for those with and without LEP. RESULTS: Of 3,053 participants included in the study, 42.3% had LEP. Participants with LEP had higher rates of emergency department use and medication mismanagement. However, due to non-standard data collection, there was a significant amount of missing data on language preference (38.1%) and race/ethnicity (46.5%). Although these findings suggest LEP may play a role in the clinical management of persons with AD/ADRD in ADS, missing data caused by lack of standardized collection compromise the results. CONCLUSION: It is essential to improve data collection practices in ADS on language, race, and ethnicity to help identify health disparities and promote equitable care for marginalized older adults. [Journal of Gerontological Nursing, 50(4), 42-47.].

Utilization of Mental Health Services Within 1 Year of Delivery among Different Language Groups.

OBJECTIVES: Cultural differences can affect postpartum mental health disorders and the utilization of mental health services. We compared women speaking English, Spanish, Russian, and Urdu/Bengali/Punjabi from postpartum through 1 year after delivery. METHODS: This was a retrospective study of 3478 pregnant women from a public hospital in New York City. The primary outcome was a composite outcome of the presence of any of the following: diagnosis of depressive disorder, diagnosis of anxiety disorder, visit to a behavioral health service provider, and/or psychiatric admission. The secondary outcome was healthcare provider referral to a behavioral health service provider. RESULTS: Languages spoken were English (n = 1881), Spanish (n = 694), Russian (n = 600), and Urdu/Bengali/Punjabi (n = 303). The language groups differed significantly (P = 0.02) for the composite outcome, with English having the greatest percentage (3.5%) and Russian the lowest percentage (1.2%). The language groups significantly differed for referral to behavioral health (P = 0.04), with Spanish having the greatest percentage (1.6%) and Russian the lowest percentage (0.2%). Anxiety disorder history (odds ratio [OR] 10.43, 95% confidence interval [CI] 4.75-22.91, P < 0.001) and psychiatric disorder history (OR 5.26, 95% CI 2.13-8.49, P < 0.001) were each significantly associated with increased odds for the composite outcome. Anxiety disorder history (OR 6.42, 95% CI 1.92-21.45, P = 0.003) and elevated depressive symptoms (OR 4.92, 95% CI 2.04-11.83, P < 0.001) each were significantly associated with increased odds for referral to behavioral health. CONCLUSIONS: Russian language was associated with lower utilization of mental health services postpartum. These findings can help clinicians determine among postpartum women who will be affected with mental health concerns and who will seek treatment for mental health concerns.

[The use of standardized nursing languages in electronic medical records: an exploratory study on opportunities, limitations, and strategies]. / L'uso del linguaggio standardizzato infermieristico nelle cartelle cliniche elettroniche: studio esplorativo su opportunità, limiti e strategie.

. The use of standardized nursing languages in electronic medical records: an exploratory study on opportunities, limitations, and strategies. INTRODUCTION: Standardized nursing languages (SNLs) have found increasing application in electronic medical records in recent years. In Italy their use is still uneven and accompanied by a silent debate between positions 'against' and 'for' their use. AIM: To render visible the debate regarding SNLs in Italy, and the strategies to consider when digitized records are based on a SNL. METHOD: Data has been collected through audio-recorded semi-structured interviews, selecting three Italian nursing professors, four managers representing Italian healthcare settings that used a SNT and a representative of the Central committee of the National federation of orders of nursing professions. The thematic approach was used to analyze the data. RESULTS: Participants reported having introduced digitized records based on nursing diagnoses, integrated with the Nursing Interventions Classification System and Nursing Outcome Classification, Clinical Care Classification System, Nursing Sensitive Outcomes or mixed models. Divergent aspects emerge regarding: (1) using nursing languages vs a common language to other healthcare professions; (2) planning care vs enhancing clinical reasoning; (3) measuring nursing care vs accepting the variability of the practice, and (4) making documentation efficient vs dedicating more time. Some convergences have emerged and a set of indications for introducing electronic records when based on standardized languages. CONCLUSIONS: The introduction of electronic documentation requires the use of homogeneous languages. The debate on the potential and limits of SNL is still open and requires reflection among researchers, trainers, clinicians, and coordinators/managers of nursing care regarding the choices to be made which may have long-term effects on many nurses.