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.

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.

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.

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.

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.

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.

When I Am Asked: Lisel Mueller's Beginning in Poetry.

Why does anyone write poetry? Lisel Mueller (1924-2020) was a poet, author, and translator with a long and much-decorated career. She and her family fled Nazi Germany in the 1930s and emigrated to the United States, where she would establish herself as a writer. The poem "When I Am Asked" describes the beginning of her journey into poetry, undertaken during a period of grief after the death of her mother. Her writing would come to include nine collections of poetry and myriad accolades, including the 1981 National Book Award and the 1997 Pulitzer Prize for Poetry. Though her ouvre is filled with evocative works, this piece stands out as particularly relevant to physicians and other writers who find solace by expressing themselves through the art of poetry.

The Emotional Content of Children's Writing: A Data-Driven Approach.

Emotion is closely associated with language, but we know very little about how children express emotion in their own writing. We used a large-scale, cross-sectional, and data-driven approach to investigate emotional expression via writing in children of different ages, and whether it varies for boys and girls. We first used a lexicon-based bag-of-words approach to identify emotional content in a large corpus of stories (N>100,000) written by 7- to 13-year-old children. Generalized Additive Models were then used to model changes in sentiment across age and gender. Two other machine learning approaches (BERT and TextBlob) validated and extended these analyses, converging on the finding that positive sentiments in children's writing decrease with age. These findings echo reports from previous studies showing a decrease in mood and an increased use of negative emotion words with age. We also found that stories by girls contained more positive sentiments than stories by boys. Our study shows the utility of large-scale data-driven approaches to reveal the content and nature of children's writing. Future experimental work should build on these observations to understand the likely complex relationships between written language and emotion, and how these change over development.

Development of a New Tool for Writing Research Key Information in Plain Language.

BACKGROUND: The complexity of research informed consent forms makes it hard for potential study participants to make informed consent decisions. In response, new rules for human research protection require informed consent forms to begin with a key information section that potential study participants can read and understand. This research study builds on exiting guidance on how to write research key information using plain language. OBJECTIVE: The aim of this study was to develop a valid and reliable tool to evaluate and improve the readability, understandability, and actionability of the key information section on research informed consent forms. METHODS: We developed an initial list of measures to include on the tool through literature review; established face and content validity of measures with expert input; conducted four rounds of reliability testing with four groups of reviewers; and established construct validity with potential research participants. KEY RESULTS: We identified 87 candidate measures via literature review. After expert review, we included 23 items on the initial tool. Twenty-four raters conducted 4 rounds of reliability testing on 10 informed consent forms. After each round, we revised or eliminated items to improve agreement. In the final round of testing, 18 items demonstrated substantial inter-rater agreement per Fleiss' Kappa (average = .73) and Gwet's AC1 (average = .77). Intra-rater agreement was substantial per Cohen's Kappa (average = .74) and almost perfect per Gwet's AC1 (average = 0.84). Focus group feedback (N = 16) provided evidence suggesting key information was easy to read when rated as such by the Readability, Understandability and Actionability of Key Information (RUAKI) Indicator. CONCLUSION: The RUAKI Indicator is an 18-item tool with evidence of validity and reliability investigators can use to write the key information section on their informed consent forms that potential study participants can read, understand, and act on to make informed decisions. [HLRP: Health Literacy Research and Practice. 2024;8(1):e29-e37.].

PLAIN LANGUAGE SUMMARY: Research informed consent forms describe key information about research studies. People need this information to decide if they want to be in a study or not. A helpful form begins with a short, easy-to-read key information section. This study created a tool researchers can use to write the key information about their research people can read, understand, and use.

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.

Ten Ways to Improve Getting a Scientific Manuscript Accepted.

BACKGROUND: Scientific publication is the cornerstone to academic and private practice advancement in patient management and outcomes. Writing a manuscript requires a certain discipline and skill set that can be achieved with diligence and hard work. METHODS: Anecdotal and review. RESULTS: Several factors must be considered in scientific writing and journal manuscript submission and acceptance. Choosing where to submit the manuscript; understanding the instructions to authors; disclosing ethically; formatting correctly; never plagiarizing; supplying high quality appropriate images; creating meaningful tables; curating a pertinent but thorough bibliography; having valid, supported conclusions; and respecting timelines. CONCLUSION: A discussion of relevant components in manuscript writing and journal submission to improve your chances of acceptance.

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.

Evaluation of a Generative Language Model Tool for Writing Examination Questions.

OBJECTIVE: To describe an evaluation of a generative language model tool to write examination questions for a new elective course focused on the interpretation of common clinical laboratory results being developed as an elective for students in a Bachelor of Science in Pharmaceutical Sciences program. METHODS: A total of 100 multiple-choice questions were generated using a publicly available large language model for a course dealing with common laboratory values. Two independent evaluators with extensive training and experience in writing multiple-choice questions evaluated each question for appropriate formatting, clarity, correctness, relevancy, and difficulty. For each question, a final dichotomous judgment was assigned by each reviewer, usable as written or not usable written. RESULTS: The major finding of this study was that a generative language model (ChatGPT 3.5) could generate multiple-choice questions for assessing common laboratory value information but only about half the questions (50% and 57% for the 2 evaluators) were deemed usable without modification. General agreement between evaluator comments was common (62% of comments) with more than 1 correct answer being the most common reason for commenting on the lack of usability (N = 27). CONCLUSION: The generally positive findings of this study suggest that the use of a generative language model tool for developing examination questions is deserving of further investigation.