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3.
Harv Rev Psychiatry ; 32(4): 150-159, 2024 Jul 01.
Article in English | MEDLINE | ID: mdl-38990903

ABSTRACT

ABSTRACT: Clinical neurosciences, and psychiatry specifically, have been challenged by the lack of a comprehensive and practical framework that explains the core mechanistic processes of variable psychiatric presentations. Current conceptualization and classification of psychiatric presentations are primarily centered on a non-biologically based clinical descriptive approach. Despite various attempts, advances in neuroscience research have not led to an improved conceptualization or mechanistic classification of psychiatric disorders. This perspective article proposes a new-work-in-progress-framework for conceptualizing psychiatric presentations based on neural network components (NNC). This framework could guide the development of mechanistic disease classification, improve understanding of underpinning pathology, and provide specific intervention targets. This model also has the potential to dissolve artificial barriers between the fields of psychiatry and neurology.


Subject(s)
Mental Disorders , Neurosciences , Humans , Mental Disorders/classification , Neural Networks, Computer , Psychiatry
4.
J Med Internet Res ; 26: e51814, 2024 Jul 15.
Article in English | MEDLINE | ID: mdl-39008831

ABSTRACT

BACKGROUND: Telepsychiatry (TP), a live video meeting, has been implemented in many contexts and settings. It has a distinct advantage in the psychiatric emergency department (ED) setting, as it expedites expert assessments for psychiatric patients. However, limited knowledge exits for TP's effectiveness in the ED setting, as well as the process of implementing TP in this setting. OBJECTIVE: This scoping review aimed to review the existing evidence for the administrative and clinical outcomes for TP in the ED setting and to identify the barriers and facilitators to implementing TP in this setting. METHODS: The scoping review was conducted according to the guidelines for the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). Three electronic databases were examined: PubMed, Embase, and Web of Science. The databases were searched from January 2013 to April 2023 for papers and their bibliography. A total of 2816 potentially relevant papers were retrieved from the initial search. Studies were screened and selected independently by 2 authors. RESULTS: A total of 11 articles were included. Ten papers reported on administrative and clinical outcomes of TP use in the ED setting and 1 on the barriers and facilitators of its implementation. TP is used in urban and rural areas and for settings with and with no on-site psychiatric services. Evidence shows that TP reduced waiting time for psychiatric evaluation, but in some studies, it was associated with prolonged total length of stay in the ED compared with in-person evaluation. Findings indicate lower admission rates in patients assessed with TP in the ED. Limited data were reported for TP costs, its use for involuntary commitment evaluations, and its use for particular subgroups of patients (eg, those with a particular diagnosis). A single paper examined TP implementation process in the ED, which explored the barriers and facilitators for implementation among patients and staff in a rural setting. CONCLUSIONS: Based on the extant studies, TP seems to be generally feasible and acceptable to key stakeholders. However, this review detected a gap in the literature regarding TP's effectiveness and implementation process in the ED setting. Specific attention should be paid to the examination of this service for specific groups of patients, as well as its use to enable assessments for possible involuntary commitment.


Subject(s)
Emergency Service, Hospital , Telemedicine , Humans , Telemedicine/statistics & numerical data , Emergency Service, Hospital/statistics & numerical data , Emergency Services, Psychiatric/statistics & numerical data , Emergency Services, Psychiatric/methods , Mental Disorders/therapy , Psychiatry/methods
5.
Psychiatr Pol ; 58(2): 219-220, 2024 Apr 30.
Article in English, Polish | MEDLINE | ID: mdl-39003506

ABSTRACT

no summary.


Subject(s)
Psychiatry , Humans , Mental Disorders/therapy
6.
Vertex ; 35(164, abr.- jun.): 48-55, 2024 Jul 10.
Article in Spanish | MEDLINE | ID: mdl-39024486

ABSTRACT

OBJETIVOS: La comunicación entre pacientes y profesionales de la salud mental mediante plataformas de mensa- jería en el intervalo entre encuentros presenciales o virtuales se convirtió en una modalidad de teleconsulta asincrónica (TA) cuya utilidad y efecto en la carga de trabajo de los profesionales de salud mental no se han explorado. Método: Profesionales del campo de la salud mental que trabajan en Argentina fueron invitados a responder a una encuesta que exploraba la intensidad y utilidad de la TA, y la sobrecarga resultante. RESULTADOS: Se recibieron un total de 527 respuestas de profesionales que trabajan en todo el país. El 69 % de los encuestados mensajes con un promedio de 1-10 pacientes/día y el 31 % con más de 10 pacientes/día; el 75 % respondió mensajes por teléfono móvil los fines de semana. Mientras que el 68 % calificó estas interacciones como positivas para  el seguimiento clínico, el 47 % las consideró una fuente de sobrecarga laboral. CONCLUSIONES: La adopción generalizada de la TA puede requerir una autorregulación adicional por parte de los profesionales y un seguimiento regular de los niveles de sobrecarga (especialmente, entre los psiquiatras) para que su práctica clínica diaria sea eficiente y sostenible.


Subject(s)
Psychiatry , Psychology , Argentina , Humans , Mobile Applications , Male , Female , Adult , Mental Health Services , Health Care Surveys , Middle Aged , Psychiatrists
8.
Hum Resour Health ; 22(1): 51, 2024 Jul 16.
Article in English | MEDLINE | ID: mdl-39014408

ABSTRACT

BACKGROUND: Mental, neurological, and substance abuse (MNS) disorders describe a range of conditions that affect the brain and cause distress or functional impairment. In the Middle East and North Africa (MENA), MNS disorders make up 10.88 percent of the burden of disease as measured in disability-adjusted life years. The Kingdom of Saudi Arabia (KSA) is one of the main providers of mental health services and one of the largest contributors to mental health research in the region. Within the past decade, mental health resources and services has increased. METHODS: We employ a needs-based workforce estimate as a planning exercise to arrive at the total number of psychiatrists, nurses, and psychosocial care providers needed to meet the epidemiological need of mental health conditions of the population of KSA. Estimates for a potential mental health workforce gap were calculated using five steps: Step 1-Quantify target population for priority mental health conditions. Step 2-Identify number of expected cases per year. Step 3-Set target service coverage for each condition. Step 4-Estimate cost-effective health care service resource utilization for each condition. Step 5-Estimate service resources needed for each condition. RESULTS: The planning exercise indicates an epidemiologic need for a total of 17,100 full-time-equivalent (FTE) health care providers to treat priority MNS disorders. KSA appears to have a need-based shortage of 10,400 health workers to treat mental disorders. A total of 100 psychiatrists, 5700 nurses, and 4500 psychosocial care providers would be additionally needed (that is, above and beyond current levels) to address the priority mental health conditions. The shortfall is particularly severe for nurses and psychosocial workers who make up 98.9 percent of the shortfall. This shortage is substantial when compared to other high-income countries. Overall, the workforce needed to treat MNS conditions translates to 49.2 health workers per 100,000 population. CONCLUSION: Challenges to addressing the shortfall are Saudi specific which includes awareness of cultural customs and norms in the medical setting. These challenges are compounded by the lack of Saudi nationals in the mental health workforce. Saudi nationals make up 29.5 percent of the physician workforce and 38.8 percent of the nursing workforce. Policymakers and planners supplement this shortfall with non-Saudi providers, who must be mindful of Saudi-specific cultural considerations. Potential solutions to reducing the shortfall of mental health care workers includes nurse task shifting and training of general practitioners to screen for, and treat, a subset of MNS disorders.


Subject(s)
Health Services Needs and Demand , Health Workforce , Mental Disorders , Mental Health Services , Humans , Saudi Arabia , Mental Disorders/therapy , Psychiatry , Nurses/supply & distribution , Cost-Benefit Analysis , Workforce , Health Resources/supply & distribution , Health Personnel/psychology
10.
J Pers Disord ; 38(3): 225-240, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38857158

ABSTRACT

There is currently insufficient evidence for the use of a specific pharmacological treatment for personality disorders (PD). The research literature lacks a systematic exploration of clinicians' experiences of pharmacological treatment of PD. The aim of the qualitative study was to examine how psychiatrists make decisions about pharmacological treatment for patients with PD. The interviews were analyzed using inductive thematic analysis. The results showed that ambiguous guidelines had the effect that the psychiatrists often relied on their own experience, or that of their colleagues. As a basis for decisions concerning drug treatment, an interpersonal component was also identified. Some of the psychiatrists in the current study argued that medications may be part of the alliance-building with the patient and that medications were a way of tying the patient to the clinic. Our findings show that it is important to work on how the clinical guidelines should be implemented in practice.


Subject(s)
Attitude of Health Personnel , Personality Disorders , Psychiatry , Qualitative Research , Humans , Female , Male , Adult , Middle Aged , Clinical Decision-Making , Practice Patterns, Physicians' , Practice Guidelines as Topic , Psychiatrists
11.
BMC Psychiatry ; 24(1): 430, 2024 Jun 10.
Article in English | MEDLINE | ID: mdl-38858711

ABSTRACT

OBJECTIVE: In a growing list of countries, patients are granted access to their clinical notes ("open notes") as part of their online record access. Especially in the field of mental health, open notes remain controversial with some clinicians perceiving open notes as a tool for improving therapeutic outcomes by increasing patient involvement, while others fear that patients might experience psychological distress and perceived stigmatization, particularly when reading clinicians' notes. More research is needed to optimize the benefits and mitigate the risks. METHODS: Using a qualitative research design, we conducted semi-structured interviews with psychiatrists practicing in Germany, to explore what conditions they believe need to be in place to ensure successful implementation of open notes in psychiatric practice as well as expected subsequent changes to their workload and treatment outcomes. Data were analyzed using thematic analysis. RESULTS: We interviewed 18 psychiatrists; interviewees believed four key conditions needed to be in place prior to implementation of open notes including careful consideration of (1) diagnoses and symptom severity, (2) the availability of additional time for writing clinical notes and discussing them with patients, (3) available resources and system compatibility, and (4) legal and data protection aspects. As a result of introducing open notes, interviewees expected changes in documentation, treatment processes, and doctor-physician interaction. While open notes were expected to improve transparency and trust, participants anticipated negative unintended consequences including the risk of deteriorating therapeutic relationships due to note access-related misunderstandings and conflicts. CONCLUSION: Psychiatrists practiced in Germany where open notes have not yet been established as part of the healthcare data infrastructure. Interviewees were supportive of open notes but had some reservations. They found open notes to be generally beneficial but anticipated effects to vary depending on patient characteristics. Clear guidelines for managing access, time constraints, usability, and privacy are crucial. Open notes were perceived to increase transparency and patient involvement but were also believed to raise issues of stigmatization and conflicts.


Subject(s)
Attitude of Health Personnel , Psychiatry , Qualitative Research , Humans , Male , Female , Germany , Adult , Middle Aged , Physician-Patient Relations , Electronic Health Records , Mental Disorders/psychology , Mental Disorders/therapy , Psychiatrists
12.
PLoS One ; 19(6): e0304996, 2024.
Article in English | MEDLINE | ID: mdl-38900758

ABSTRACT

INTRODUCTION: The Mental Welfare Commission for Scotland published a report into the death of a young person, with recommendations for the Royal College of Psychiatry in Scotland Child and Adolescent Faculty; to explore if there were barriers to the use of Clozapine in young people in Scotland. METHODS: A mixed-methods study was performed using a cross-sectional survey of clinicians working in child and adolescent psychiatry across Scotland, to determine attitudes towards clozapine use and the perceived barriers and facilitators to clozapine treatment. RESULTS: Results suggest that there may be a lack of clearly defined pathways within and between services, as well as a lack of resources provided for the necessary monitoring of a young person started on clozapine. Multiple respondents felt unskilled in clozapine initiation and had not accessed formal training. The most frequently mentioned themes for improving facilitation of clozapine prescription were that of increased resources and training. DISCUSSION: National policymakers including the Mental Welfare Commission, NHS Education for Scotland, and NHS Scotland should consider these findings to address the potential underutilisation of clozapine for people aged under 18 in services across Scotland. A review of current service provision should take place, with consideration of whether the facilitators to clozapine prescription which our study has highlighted could be implemented more effectively. This may help reduce identified barriers and increase clozapine prescription to those who would benefit from it, potentially improving outcomes for young people with treatment-resistant psychosis.


Subject(s)
Antipsychotic Agents , Clozapine , Psychiatry , Humans , Clozapine/therapeutic use , Scotland , Adolescent , Cross-Sectional Studies , Male , Female , Antipsychotic Agents/therapeutic use , Surveys and Questionnaires , Attitude of Health Personnel , Practice Patterns, Physicians'/statistics & numerical data , Adult , Child , Psychiatrists
13.
BMC Psychiatry ; 24(1): 461, 2024 Jun 20.
Article in English | MEDLINE | ID: mdl-38902699

ABSTRACT

BACKGROUND: There is a discussion among general practitioners and psychiatrists regarding over-diagnosing versus under-reporting of psychiatric diagnoses. A deeper understanding of this topic is relevant for providing reasonable health care and for planning future studies. A crucial factor to understanding this discussion is the difference in the prevalence of a disease in each sector. One way to attain knowledge about such prevalences is the analysis of routine care data of the sector in question. However, diagnosis-related data might be modified by several additional influencing factors. AIMS: This study aims to explore what kind of motives and modifying factors play a role for or against giving psychiatric diagnoses in psychiatric and general medical settings. METHODS: Twenty-six semi-structured interviews were conducted with German physicians in the fields of general medicine and psychiatry. Interviews were analysed using content analysis. RESULTS: The analysis revealed three major motivational categories for finding a diagnosis: (1) "objective matters" such as "categorisation for research"; (2) "functional and performance-related factors" such as "requirement for medication", "billing aspects" that go with certain diagnoses or "access to adequate care" and (3) "Individual factors" such as the "personality of a physician". Similarly, factors emerged that lead to not making psychiatric diagnoses like "fear of stigmatization among patients" or "detrimental insurance status with psychiatric diagnosis". Additionally participants mentioned other reasons for "not diagnosing a psychiatric diagnosis", such as "coding of other clinical pictures". CONCLUSION: The diagnostic process is a complex phenomenon that goes far beyond the identification of medical findings. This insight should be considered when processing and interpreting secondary data for designing health care systems or designing a study.


Subject(s)
General Practice , Mental Disorders , Motivation , Psychiatry , Qualitative Research , Humans , Mental Disorders/diagnosis , Mental Disorders/psychology , Male , Female , Adult , Middle Aged , Attitude of Health Personnel , Germany
14.
Article in Russian | MEDLINE | ID: mdl-38884427

ABSTRACT

Presently, there is an increased interest in expanding the range of diagnostic and scientific applications of electroencephalography (EEG). The method is attractive due to non-invasiveness, availability of equipment with a wide range of modifications for various purposes, and the ability to track the dynamics of brain electrical activity directly and with high temporal resolution. Spectral, coherency and other types of analysis provide volumetric information about its power, frequency distribution, spatial organization of signal and its self-similarity in dynamics or in different sections at a time. The development of computing technologies provides processing of volumetric data obtained using EEG and a qualitatively new level of their analysis using various mathematical models. This review discusses benefits and limitations of using the EEG in scientific research, currently known interpretation of the obtained data and its physiological and pathological correlates. It is expected to determine the complex relationship between the parameters of brain electrical activity and various functional and pathological conditions. The possibility of using EEG characteristics as biomarkers of various physiological and pathological conditions is being considered. Electronic databases, including MEDLINE (on PubMed), Google Scholar and Russian Scientific Citation Index (RSCI, on elibrary.ru), scientific journals and books were searched to find relevant studies.


Subject(s)
Brain , Electroencephalography , Humans , Electroencephalography/methods , Brain/physiology , Psychiatry/methods , Mental Disorders/physiopathology , Mental Disorders/diagnosis
15.
World J Biol Psychiatry ; 25(6): 342-351, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38905131

ABSTRACT

OBJECTIVES: This survey assessed psychiatry residents'/early-career psychiatrists' attitudes towards the utility of therapeutic drug monitoring (TDM) of antipsychotics. METHODS: A previously developed questionnaire on attitudes on TDM utility during antipsychotic treatment was cross-sectionally disseminated by national coordinators between 01/01/2022-31/12/2023. The frequency of using TDM for antipsychotics other than clozapine was the main outcome in a linear regression analysis, including sex, clinical setting, caseload, and factors generated by an exploratory factor analysis. Comparisons between residents and early-career psychiatrists, respondents working in in- and outpatient settings, and low-/middle- and high-income countries were performed. RESULTS: Altogether, 1,237 respondents completed the survey, with 37.9% having never used TDM for antipsychotics. Seven factors explained 41% of response variance; six of them were associated with frequency of TDM use (p < 0.05). Items with highest loadings for factors included clinical benefits of TDM (factors A and E: 0.7), negative expectations for beliefs of patients towards TDM (factor B: 0.6-0.7), weak TDM scientific evidence (factor C: 0.8), and TDM availability (factor D: -0.8). Respondents from low-/middle-income countries were less likely to frequently/almost always use TDM compared to high-income countries (9.4% vs. 21.5%, p < 0.001). DISCUSSION: TDM use for antipsychotics was poor and associated with limited knowledge and insufficient availability.


Subject(s)
Antipsychotic Agents , Attitude of Health Personnel , Drug Monitoring , Psychiatry , Humans , Antipsychotic Agents/therapeutic use , Female , Male , Cross-Sectional Studies , Surveys and Questionnaires , Adult , Internship and Residency , Europe , Practice Patterns, Physicians'/statistics & numerical data , Societies, Medical , Psychiatrists
18.
Tunis Med ; 102(6): 360-365, 2024 Jun 05.
Article in English | MEDLINE | ID: mdl-38864200

ABSTRACT

INTRODUCTION: Telemedicine has become a fundamental pillar of the evolution of healthcare worldwide. In Tunisia, the challenges of the health system, amplified by the COVID-19 pandemic, have highlighted the urgency to adopt innovative solutions. In this regard, the publication of Presidential Decree No. 318/2022 on April 8 in the Official Journal of the Tunisian Republic represents a significant advance in the regulation of telemedicine. AIM: To assess the knowledge of Tunisian psychiatrists and child psychiatrists regarding telemedicine, its legal framework, and their perceptions of this new medical practice. METHODS: A descriptive cross-sectional study was conducted 8 months after the issuance of the presidential decree. The survey was conducted online through an electronic questionnaire on Google Forms. RESULTS: A total of 68 participants were included in this survey. The median number of professional years was 5±7 years. Among the participants, 82% worked in psychiatry and 18% worked in child psychiatry. The sector of practice was public in 69% and private in 31% of cases. Most of them (62%) did not know about the different telemedicine acts, and 57% of doctors were unaware of the existence of the presidential decree. The majority of doctors (84%) expressed a favorable opinion regarding the adoption of telepsychiatry, regardless of sex (p=0.69), professional status (p=0.512), specialty (p=1), years of experience (p=0.83), and practice sector (p=1). CONCLUSION: Despite a low level of knowledge regarding telemedicine, the study highlights the interest of the participants in integrating telepsychiatry into their clinical practices.


Subject(s)
Health Knowledge, Attitudes, Practice , Psychiatry , Telemedicine , Humans , Tunisia , Telemedicine/statistics & numerical data , Psychiatry/statistics & numerical data , Cross-Sectional Studies , Female , Male , Adult , Surveys and Questionnaires , COVID-19/epidemiology , Middle Aged , Attitude of Health Personnel , Psychiatrists
19.
Neuroimage ; 296: 120665, 2024 Aug 01.
Article in English | MEDLINE | ID: mdl-38848981

ABSTRACT

The perspective of personalized medicine for brain disorders requires efficient learning models for anatomical neuroimaging-based prediction of clinical conditions. There is now a consensus on the benefit of deep learning (DL) in addressing many medical imaging tasks, such as image segmentation. However, for single-subject prediction problems, recent studies yielded contradictory results when comparing DL with Standard Machine Learning (SML) on top of classical feature extraction. Most existing comparative studies were limited in predicting phenotypes of little clinical interest, such as sex and age, and using a single dataset. Moreover, they conducted a limited analysis of the employed image pre-processing and feature selection strategies. This paper extensively compares DL and SML prediction capacity on five multi-site problems, including three increasingly complex clinical applications in psychiatry namely schizophrenia, bipolar disorder, and Autism Spectrum Disorder (ASD) diagnosis. To compensate for the relative scarcity of neuroimaging data on these clinical datasets, we also evaluate three pre-training strategies for transfer learning from brain imaging of the general healthy population: self-supervised learning, generative modeling and supervised learning with age. Overall, we find similar performance between randomly initialized DL and SML for the three clinical tasks and a similar scaling trend for sex prediction. This was replicated on an external dataset. We also show highly correlated discriminative brain regions between DL and linear ML models in all problems. Nonetheless, we demonstrate that self-supervised pre-training on large-scale healthy population imaging datasets (N≈10k), along with Deep Ensemble, allows DL to learn robust and transferable representations to smaller-scale clinical datasets (N≤1k). It largely outperforms SML on 2 out of 3 clinical tasks both in internal and external test sets. These findings suggest that the improvement of DL over SML in anatomical neuroimaging mainly comes from its capacity to learn meaningful and useful abstract representations of the brain anatomy, and it sheds light on the potential of transfer learning for personalized medicine in psychiatry.


Subject(s)
Deep Learning , Neuroimaging , Schizophrenia , Humans , Neuroimaging/methods , Female , Schizophrenia/diagnostic imaging , Male , Adult , Brain/diagnostic imaging , Machine Learning , Autism Spectrum Disorder/diagnostic imaging , Bipolar Disorder/diagnostic imaging , Middle Aged , Young Adult , Psychiatry/methods
20.
Hum Resour Health ; 22(1): 40, 2024 Jun 18.
Article in English | MEDLINE | ID: mdl-38890630

ABSTRACT

BACKGROUND: Physician assistants/associates (PAs) provide services in diverse medical specialties globally, including psychiatry. While health professionals in psychiatry have been described for many years, little is known about PAs practicing in this discipline. METHODS: We describe US PAs practicing in psychiatry using robust national data from the National Commission on Certification of Physician Assistants (NCCPA). Analyses included descriptive and inferential statistics comparing PAs in psychiatry to PAs in all other medical and surgical specialties. RESULTS: The percentage of PAs practicing in psychiatry has increased from 1.1% (n = 630) in 2013 to 2.0% (n = 2 262) in 2021. PAs in psychiatry differed from PAs practicing in all other specialties in the following: they identified predominately as female (71.4% vs. 69.1%; p = 0.016), were more racially diverse (Asian [6.6% vs. 6.0%], Black/African American [5.5% vs. 3.4%], multi-race [2.8% vs. 2.1%], and other races [Native Hawaiian/Pacific Islander, American Indian/Alaska Native, or other; 3.7% vs. 3.6%]; p < 0.001), and resided in the South (43.8% vs. 34.1%; p < 0.001). PAs in psychiatry vs. all other specialties were more likely to work in office-based private practice settings (41.6% vs. 37.3%; p < 0.001) and nearly twice as likely to provide telemedicine services for their patients (62.7% vs. 32.9%; p < 0.001). While one-third (31.9%) of PAs in psychiatry experienced one or more burnout symptoms, and 8.1% considered changing their current position, the vast majority of PAs in psychiatry (86.0%) were satisfied with their position. CONCLUSIONS: Understanding the attributes of PAs in psychiatry is essential in medical labor supply and demand research. Our findings suggest that the number of PAs working in psychiatry is steadily increasing. These PAs were predominantly female, exhibited greater racial diversity, and were primarily located in the South and Midwest regions of the US. A striking difference was that PAs in psychiatry were almost twice as likely to provide telemedicine services for their patients. Although nearly a third of PAs in psychiatry acknowledged having one or more symptoms of burnout, few were considering changing their employment, and the vast majority reported high job satisfaction.


Subject(s)
Physician Assistants , Psychiatry , Humans , Female , Physician Assistants/statistics & numerical data , Physician Assistants/supply & distribution , Male , United States , Adult , Middle Aged , Health Workforce/statistics & numerical data , Workforce
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