Expanding capacity for publication in nursing: Experiences from a writing for publication group.

Nurses have valuable knowledge and expertise to share. Yet, for a variety of reasons, many nurses do not write for publication. Members in one Sigma Theta Tau International chapter requested information about publishing so a writing for publication program (WPP) was convened. Ten nurses from diverse clinical and academic backgrounds participated. The goal of the WPP was to support a small group of nurses to advance knowledge and develop practical skills through the development of a manuscript with mentorship from doctorally-prepared nurses with publishing experience. The anticipated effect was that participants would share what they learned with colleagues or mentor others to publish in the future. Beginning with informational sessions to lay the foundation for writing and publishing, the WPP included biweekly, two-hour online sessions over a seven-month period whereby individual and group writing with embedded peer and WPP leader feedback occurred. WPP participants gained proficiency in searching online databases, synthesizing published literature, and working as a member of a writing team. The group successfully published a manuscript based on a topic of interest. This current article describes the structured support and mentorship provided during the WPP with recommendations for overcoming publication barriers commonly described in the literature.

Heart Rate Measurement Using the Built-In Triaxial Accelerometer from a Commercial Digital Writing Device.

Currently, wearable technology is an emerging trend that offers remarkable access to our data through smart devices like smartphones, watches, fitness trackers and textiles. As such, wearable devices can enable health monitoring without disrupting our daily routines. In clinical settings, electrocardiograms (ECGs) and photoplethysmographies (PPGs) are used to monitor heart and respiratory behaviors. In more practical settings, accelerometers can be used to estimate the heart rate when they are attached to the chest. They can also help filter out some noise in ECG signals from movement. In this work, we compare the heart rate data extracted from the built-in accelerometer of a commercial smart pen equipped with sensors (STABILO's DigiPen) to standard ECG monitor readouts. We demonstrate that it is possible to accurately predict the heart rate from the smart pencil. The data collection is carried out with eight volunteers writing the alphabet continuously for five minutes. The signal is processed with a Butterworth filter to cut off noise. We achieve a mean-squared error (MSE) better than 6.685 × 10-3 comparing the DigiPen's computed Δt (time between pulses) with the reference ECG data. The peaks' timestamps for both signals all maintain a correlation higher than 0.99. All computed heart rates (HR =60Δt) from the pen accurately correlate with the reference ECG signals.

Historia de la escritura como herramienta para la práctica de la psiquiatría y la salud mental.

La escritura como la conocemos hoy en día es un desarrollo relativamente nuevo en la historia cultural de la humanidad. Más actual aún es la masividad de la alfabetización de la población. Desde los orígenes de la psiquiatría, la escritura forma parte inherente de ésta en la bibliografía médica pero también como una herramienta aplicada en la práctica en diversos formatos, tanto con fines diagnósticos como terapéuticos. No obstante, frente a las herramientas clásicas de comunicación, como el habla, y en la psiquiatría infantil, también el juego y el dibujo, la escritura parece haber sido relegada. En esta investigación bibliográfica, que no tendría antecedentes en su tipo, se realizó un recorrido histórico de la temática desde el surgimiento de la psiquiatría como especialidad hasta nuestros días; donde hechos como las Guerras Mundiales, la evolución del concepto de discapacidad o la pandemia por COVID-19 parecen haber jugado un papel clave para delimitar variables que caracterizan, al menos, tres períodos históricos y presumir un cuarto en plena gestación. El soporte tecnológico con el que se escribe y el uso y formato dado a la escritura resultaron las principales variables de los distintos períodos. Siendo ésta una época de muy alta demanda en Salud Mental, desafiante en su accesibilidad y la masividad en el uso de la escritura a partir de tecnologías de la información, esta investigación representaría un aporte significativo al desarrollo de la escritura como herramienta para la práctica de la psiquiatría y la salud mental.

Implementation and evaluation of an interprofessional prescription writing workshop with a simulated electronic prescribing activity for preclerkship medical students.

BACKGROUND: Prescription writing skills are essential for physician practice. This study describes the development and implementation of a curricular intervention focused on improving the knowledge and confidence of preclerkship medical students' prescription writing practices utilizing an interprofessional education model, with a focus on electronic prescribing. METHODS: Medicine and Pharmacy Faculty from a large, urban university collaborated to develop the content of the workshop and a simulation platform was used for the e-prescribing activity. Second-year medical students attended a mandatory in-person workshop facilitated by fourth-year pharmacy students. A pre and post knowledge test and confidence survey were used to assess students' knowledge, confidence, and satisfaction. Outcomes from the knowledge test were evaluated with paired-samples proportions tests, and confidence survey data was evaluated with paired t-tests and Wilcoxon signed-rank tests in a pre-post study design. RESULTS: Students demonstrated a significant increase in prescription writing knowledge and confidence after completing the workshop. On the pre-test, 7% of students (21/284) completed the electronic prescribing assessment correctly and 51% of students (149/295) completed it correctly on the post-test. All items on the confidence survey showed a significant increase in pre- versus post-survey comparisons (p < 0.001). CONCLUSIONS: This interprofessional prescription writing workshop facilitated by pharmacy students shows promise for improving the knowledge and confidence of prescription writing and electronic prescribing practices in preclerkship medical students.

Evaluation of Large Language Model Performance and Reliability for Citations and References in Scholarly Writing: Cross-Disciplinary Study.

BACKGROUND: Large language models (LLMs) have gained prominence since the release of ChatGPT in late 2022. OBJECTIVE: The aim of this study was to assess the accuracy of citations and references generated by ChatGPT (GPT-3.5) in two distinct academic domains: the natural sciences and humanities. METHODS: Two researchers independently prompted ChatGPT to write an introduction section for a manuscript and include citations; they then evaluated the accuracy of the citations and Digital Object Identifiers (DOIs). Results were compared between the two disciplines. RESULTS: Ten topics were included, including 5 in the natural sciences and 5 in the humanities. A total of 102 citations were generated, with 55 in the natural sciences and 47 in the humanities. Among these, 40 citations (72.7%) in the natural sciences and 36 citations (76.6%) in the humanities were confirmed to exist (P=.42). There were significant disparities found in DOI presence in the natural sciences (39/55, 70.9%) and the humanities (18/47, 38.3%), along with significant differences in accuracy between the two disciplines (18/55, 32.7% vs 4/47, 8.5%). DOI hallucination was more prevalent in the humanities (42/55, 89.4%). The Levenshtein distance was significantly higher in the humanities than in the natural sciences, reflecting the lower DOI accuracy. CONCLUSIONS: ChatGPT's performance in generating citations and references varies across disciplines. Differences in DOI standards and disciplinary nuances contribute to performance variations. Researchers should consider the strengths and limitations of artificial intelligence writing tools with respect to citation accuracy. The use of domain-specific models may enhance accuracy.

Utility of Kolmogorov complexity measures: Analysis of L2 groups and L1 backgrounds.

The proliferation of automated syntactic complexity tools allowed the analysis of larger amounts of learner writing. However, existing tools tend to be language-specific or depend on segmenting learner production into native-based units of analysis. This study examined the utility of a language-general and unsupervised linguistic complexity metric: Kolmogorov complexity in discriminating between L2 proficiency levels within several languages (Czech, German, Italian, English) and across various L1 backgrounds (N = 10) using two large CEFR-rater learner corpora. Kolmogorov complexity was measured at three levels: syntax, morphology, and overall linguistic complexity. Pairwise comparisons indicated that all Kolmogorov complexity measures discriminated among the proficiency levels within the L2s. L1-based variation in complexity was also observed. Distinct syntactic and morphological complexity patterns were found when L2 English writings were analyzed across versus within L1 backgrounds. These results indicate that Kolmogorov complexity could serve as a valuable metric in L2 writing research due to its cross-linguistic flexibility and holistic nature.

To Reveal or Not to Reveal, That Is the Wrong Question: Thoughts about Clinical Writing in Psychoanalysis.

This paper plays with the possibilities of writing about psychoanalytic work in different ways with different levels of disclosure about both patient and analyst. Various issues around anonymity, confidentiality, consent and identity are explored, highlighting the many questions that come up. These issues of how to write psychoanalytically are also addressed from the point of view of culture and the sociopolitical gestalt of our time.

What We Do, What We Say, What We Don't Say: Confidentiality In The Publication Of Clinical Writing.

Questions concerning analysts' publication of material from the analyses of their patients have troubled the field of psychoanalysis since its inception. Disguise inevitably distorts the clinical material and is often insufficient to protect the patient from recognition. Asking the patient's consent for publication intrudes upon and alters the analytic process. While analysts have largely reached a consensus about the need for anonymity in published material, there is still considerable debate about the necessity for obtaining patients' consent when using their material for publication. In this paper, I will trace the evolving meanings of disguise, and particularly of consent, in the analytic literature. I will place a particular emphasis upon the differing theoretical belief systems that underlie the analyst's decision to ask consent from her patient or not to do so, and I will argue that, although decisions on asking consent remain a complex matter, such coherent belief systems should play an important part in analysts' decisions regarding consent. I will illustrate my thought processes and some clinical situations with brief examples, and I will conclude with some practical recommendations, with the hope that these will stimulate further discussion in the analytic community.

Does it Appear to 'Resemble' Reality? on the Ethics of Psychoanalytic Writing.

This paper explores the intricate nexus of writing and psychoanalysis by addressing a key question: In what and how many directions should analytic writing be ethical? The author structures the argument across three axes. First, in an introduction, writing's role as a psychoanalytic invariant is emphasized. Then, an exploration ensues, delving into writing as praxis, navigating complex technical choices, from micro- to macro-perspectives in clinical vignettes, their autobiographical essence, their relevance as models for theory, self-revelation, etc. Lastly, a succinct epilogue considers the relationship between aesthetics and ethics in psychoanalytic writing.

Faculty Worldviews: The Challenge of Diversity and Silos.

While much has been written about diversity and worldviews, too often an openness and respect for diversity of perspectives in teaching-learning seem veiled in calls for sameness in thinking about the world, education, and events. In this column, the author explores the issue of diversity of faculty perspectives in the teaching-learning of nursing. Thoughts are shared from the humanbecoming teaching-learning model, exploring the notion of synergistic patterning in creating a rich tapestry of teaching-learning of nursing.

Pearls and pitfalls in letters of recommendation for neurology residency applications.

Letters of recommendation are a cornerstone of residency applications. Variability and bias in letters exists across specialties, neurology being no exception. Studies done in other specialty fields assessing nuanced language uncovered key attention points for improvement and mitigation of bias, lessons from which should be applied in the field of neurology. We review common pearls and pitfalls in the letter solicitation, writing and reading process, with suggested best-practices for residency applicants, letter writers, and program faculty reviewers. We advocate for the thoughtful selection of writers, emphasis on highlighting professional skills, and attention to implicit bias. This discussion focuses on recommendations for US advanced or categorical neurology programs, but elements of this guidance may apply more broadly to fellowship and faculty promotion letters as well.

Writing for publication: Argument and evidence.

The rules for writing a research report are well defined but novice writers need more clarification on writing scholarly scientific papers for publication. The purpose of this paper is to enable novice writers to confidently apply the skills of scientific writing to the development of a scholarly paper for publication. We highlight the importance of having a clearly defined question or clarity in focus before moving on to consider the components of a scholarly paper including, the question, thesis, introduction, body, discussion, conclusion and finally, an abstract.

Scientific writing quality of theses in Medicine and Pharmacy at the University of Bamako (Mali).

AIM: To describe the scientific editorial quality of practice theses defended at the Faculties of Medicine and Pharmacy of Bamako (Mali), during the period 2016-2018. METHODS: This was a cross-sectional study conducted on practice theses in health science, defended between 2016 and 2018, and the electronic version of which was available at the libraries of the Faculties of Medicine and Pharmacy in Bamako. An adjusted STROBE grid was used to measure a scientific editorial conformity score for 18 iso-weighted items of the IMRaD structure (i.e. a total of 18 points). In this way, the scientific editorial quality of practice theses in health sciences was judged to be highly conform (14-18 points), fairly conform (9-13 points), poorly conform (5-8 points), or not conform (<5 points). An ordinal logistic regression model was used to identify determining factors independently associated with the scientific editorial quality of the health sciences practice thesis, with a significance level of 5%. RESULTS: A total of 534 practice theses in health sciences were included in this study, whose scientific editorial quality was judged to be highly or fairly conform (12.2%), poorly conform (43.1%) or not conform (44.8%). These standards scientific editorial conformity, which was higher in a "Medicine" thesis than in a "Pharmacy" thesis (ORa=2.45; IC95% [1.62-3.27], p<=0.05), was attributed to the supervisor's membership of a research structure (ORa=2.88; IC95% [1.6-3.2]; p<0.05). CONCLUSION: The research methodology profile of the practice health sciences thesis supervisor and the thesis section are associated with scientific editorial standard with the IMRaD.

Major mistakes in scientific medical writing based on manuscripts' reviews.

INTRODUCTION: Peer review is a crucial process in ensuring the quality and accuracy of scientific research. It allows experts in the field to assess manuscripts submitted for publication and provide feedback to authors to improve their work. AIM: To describe mistakes encountered while peer reviewing scientific manuscripts submitted to "La Tunisie Médicale" journal. METHOD: This was a bibliometric study of research manuscripts submitted to "La Tunisie Médicale" and reviewed during 2022. The data collected included the type of the manuscripts and the number of reviews conducted per manuscript. The study also identified variables related to writing mistakes encountered during the peer review process. RESULTS: A total of 155 manuscripts (68% original articles) were peer reviewed and 245 reviews were delivered, by two reviewers. Out of 62 mistakes detected, 21% concerned the results section. In 60% of the manuscripts, the keywords used were not MeSH (Medical Subject Headings) terms. The introduction lacked in-text citations in 30% of the reviewed manuscripts, while the method section did not have a clear study framework (27%). The two major mistakes detected in the results section were the misuse of abbreviations in tables/figures, and the non-respect of the scientific nomenclature of tables/figures with respectively 39% and 19% of manuscripts. CONCLUSION: This study identified 62 mistakes while reviewing scientific manuscripts submitted to "La Tunisie Médicale" journal. Scholars can benefit from participation in scientific writing seminars and the use of a safety checklist for scientific medical writing to avoid basic mistakes.

International Perspectives on Mental Health Social Work: Second Edition.

Writing this Editorial for our second collection of papers on "International Perspectives on Mental Health Social Work", we reflected upon the content of our First Edition [...].

Large language models for generating medical examinations: systematic review.

BACKGROUND: Writing multiple choice questions (MCQs) for the purpose of medical exams is challenging. It requires extensive medical knowledge, time and effort from medical educators. This systematic review focuses on the application of large language models (LLMs) in generating medical MCQs. METHODS: The authors searched for studies published up to November 2023. Search terms focused on LLMs generated MCQs for medical examinations. Non-English, out of year range and studies not focusing on AI generated multiple-choice questions were excluded. MEDLINE was used as a search database. Risk of bias was evaluated using a tailored QUADAS-2 tool. RESULTS: Overall, eight studies published between April 2023 and October 2023 were included. Six studies used Chat-GPT 3.5, while two employed GPT 4. Five studies showed that LLMs can produce competent questions valid for medical exams. Three studies used LLMs to write medical questions but did not evaluate the validity of the questions. One study conducted a comparative analysis of different models. One other study compared LLM-generated questions with those written by humans. All studies presented faulty questions that were deemed inappropriate for medical exams. Some questions required additional modifications in order to qualify. CONCLUSIONS: LLMs can be used to write MCQs for medical examinations. However, their limitations cannot be ignored. Further study in this field is essential and more conclusive evidence is needed. Until then, LLMs may serve as a supplementary tool for writing medical examinations. 2 studies were at high risk of bias. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.