scholarly journals Large‐scale implementation of insomnia treatment in routine psychiatric care: patient characteristics and insomnia‐depression comorbidity

2021 ◽  
Author(s):  
Martin Kraepelien ◽  
Erik Forsell ◽  
Kerstin Blom
Keyword(s):  
Large Scale ◽  
Psychiatric Care ◽  
Patient Characteristics ◽  
Care Patient ◽  
Insomnia Treatment

scholarly journals Evaluation of the First Contact Physiotherapy (FCP) model of primary care: Patient characteristics and outcomes

Physiotherapy ◽  
2021 ◽  
Author(s):  
S. Stynes ◽  
K.P. Jordan ◽  
J.C. Hill ◽  
G. Wynne-Jones ◽  
E. Cottrell ◽  
...  
Keyword(s):  
Primary Care ◽  
Primary Care Patient ◽  
Patient Characteristics ◽  
Care Patient ◽  
First Contact

scholarly journals Uncontrolled arterial hypertension in primary care – patient characteristics and associated factors

2012 ◽  
Author(s):  
C Chmiel ◽  
M Wang ◽  
O Senn ◽  
Prete Del ◽  
M Zoller ◽  
...  
Keyword(s):  
Primary Care ◽  
Arterial Hypertension ◽  
Associated Factors ◽  
Primary Care Patient ◽  
Patient Characteristics ◽  
Care Patient

Cognitive function in post-cardiac intensive care: patient characteristics and impact of multidisciplinary cardiac rehabilitation

2020 ◽  
Vol 35 (7) ◽  
pp. 946-956 ◽  
Author(s):  
Hitoshi Sumida ◽  
Yuichi Yasunaga ◽  
Kensei Takasawa ◽  
Aya Tanaka ◽  
Seiko Ida ◽  
...  
Keyword(s):  
Intensive Care ◽  
Cognitive Function ◽  
Cardiac Rehabilitation ◽  
Intensive Care Patient ◽  
Patient Characteristics ◽  
Care Patient ◽  
Cardiac Intensive Care

C-Care: Patient Characteristics Associated with Allerject TM Versus EpipenTM Auto-Injector Prescription Across Three Montreal Hospitals

2015 ◽  
Vol 135 (2) ◽  
pp. AB201
Author(s):  
Bhairavi Balram ◽  
Ann Clarke ◽  
Sebastian La Vieille ◽  
Reza Alizadehfar ◽  
Alizee Dery ◽  
...  
Keyword(s):  
Patient Characteristics ◽  
Care Patient ◽  
Auto Injector

Evolving Comprehensive VA Women’s Health Care: Patient Characteristics, Needs, and Preferences

2011 ◽  
Vol 21 (4) ◽  
pp. S120-S129 ◽  
Author(s):  
Michelle A. Mengeling ◽  
Anne G. Sadler ◽  
James Torner ◽  
Brenda M. Booth
Keyword(s):  
Health Care ◽  
Women’S Health ◽  
Women's Health ◽  
Patient Characteristics ◽  
Care Patient ◽  
Women's Health Care

scholarly journals Factors Influencing Patients’ Initial Decisions Regarding Telepsychiatry Participation During the COVID-19 Pandemic: Telephone-Based Survey

10.2196/25469 ◽  
2020 ◽  
Vol 4 (12) ◽  
pp. e25469
Author(s):  
Jennifer Severe ◽  
Ruiqi Tang ◽  
Faith Horbatch ◽  
Regina Onishchenko ◽  
Vidisha Naini ◽  
...  
Keyword(s):  
Psychiatric Care ◽  
Patient Characteristics ◽  
Quality Improvement Initiative ◽  
Patient Age ◽  
Health Crisis ◽  
Factors Influencing ◽  
Patient Âgé ◽  
Virtual Visits ◽  
Survey Responses ◽  
At Home

Background Telepsychiatry enables patients to establish or maintain psychiatric care during the COVID-19 pandemic. Little is known about the factors influencing patients’ initial decisions to participate in telepsychiatry in the midst of a public health crisis. Objective This paper seeks to examine factors influencing patients’ initial decisions to accept or decline telepsychiatry immediately after the stay-at-home order in Michigan, their initial choice of virtual care modality (video or telephone), and their anticipated participation in telepsychiatry once clinics reopen for in-person visits. Methods Between June and August 2020, we conducted a telephone-based survey using a questionnaire comprising 14 quantitative and two qualitative items as part of a quality improvement initiative. We targeted patients who had an in-person appointment date that fell in the first few weeks following the Michigan governor’s stay-at-home order, necessitating conversion to virtual visits or deferment of in-person care. We used descriptive statistics to report individual survey responses and assess the association between chosen visit type and patient characteristics and future participation in telepsychiatry using multivariable logistic regression. Results A total of 244 patients whose original in-person appointments were scheduled within the first 3 weeks of the stay-at-home order in Michigan completed the telephone survey. The majority of the 244 respondents (n=202, 82.8%) initially chose to receive psychiatric care through video visits, while 13.5% (n=33) chose telephone visits and 1.2% (n=3) decided to postpone care until in-person visit availability. Patient age correlated with chosen visit type (P<.001; 95% CI 0.02-0.06). Patients aged ≥44 years were more likely than patients aged 0-44 years to opt for telephone visits (relative risk reduction [RRR] 1.2; 95% CI 1.06-1.35). Patient sex (P=.99), race (P=.06), type of insurance (P=.08), and number of previous visits to the clinic (P=.63) were not statistically relevant. Approximately half of the respondents (114/244, 46.7%) stated they were likely to continue with telepsychiatry even after in-person visits were made available. Telephone visit users were less likely than video visit users to anticipate future participation in telepsychiatry (RRR 1.08; 95% CI 0.97-1.2). Overall, virtual visits met or exceeded expectations for the majority of users. Conclusions In this cohort, patient age correlates with the choice of virtual visit type, with older adults more likely to choose telephone visits over video visits. Understanding challenges to patient-facing technologies can help advance health equity and guide best practices for engaging patients and families through telehealth.

scholarly journals The COVID-19 Pandemic as a Social Stressor: Psychological and Psychiatric Risk Factors (Based on Foreign Studies)

2020 ◽  
Vol 11 (4) ◽  
pp. 13-25
Author(s):  
Z.V. Lukovtseva
Keyword(s):  
Risk Factors ◽  
Large Scale ◽  
Psychiatric Care ◽  
Psychological Characteristics ◽  
Diagnostic Tools ◽  
Individual Factors ◽  
Main Factors ◽  
The Impact ◽  
Psychiatric Problems

Objective. Systematization of the main factors of psychological and psychiatric risk during the COVID-19 pandemic, identified in foreign studies. Background. The need to clarify ideas about the determination of psychological and psychiatric problems caused by the socially stressful impact of the COVID-19 pandemic is dictated primarily by the demands of practice. The relevance of actions in this direction is determined by the continuing instability of the epidemiological and socio-economic situation, the need for prompt and wide coverage of those in need with programs of psychological and psychiatric care, the fragmentation and inconsistency of existing information about the impact of the pandemic on the mental health of the population. Methodology. A theoretical analysis of literature sources describing foreign studies of psychological and psychiatric risk factors against the background of a pandemic was carried out; using a comparative analytical method, the meaning and degree of knowledge of situational and individual factors are determined. Conclusions. The general features of studies conducted by psychologists and psychiatrists from different countries against the background of the coronavirus threat were revealed (the predominance of the remote format, the reduction in the variety and volume of diagnostic tools, the use of large-scale samples). The main factors of psychological and psychiatric risk affecting the population in the context of the spread of coronavirus are divided into situational and individual. The factors of the first group are differentiated according to their degree of specificity for the COVID-19 pandemic, while in the second group, socio-demographic and medico-psychological factors are distinguished. It is shown that individual psychological characteristics that can determine the nature of a person’s response to a pandemic remain the least studied and clarification of their composition is an urgent scientific and practical task.

scholarly journals Multimodal phenotypic axes of Parkinson’s disease

2020 ◽  
Author(s):  
Ross D. Markello ◽  
Golia Shafiei ◽  
Christina Tremblay ◽  
Ronald B. Postuma ◽  
Alain Dagher ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Large Scale ◽  
De Novo ◽  
Patient Characteristics ◽  
Multimodal Fusion ◽  
Compact Set ◽  
Similarity Network ◽  
Mri Morphometry ◽  
Low Dimensional

Individuals with Parkinson’s disease present with a complex clinical phenotype, encompassing sleep, motor, cognitive, and affective disturbances. However, characterizations of PD are typically made for the “average” patient, ignoring patient heterogeneity and obscuring important individual differences. Modern large-scale data sharing efforts provide a unique opportunity to precisely investigate individual patient characteristics, but there exists no analytic framework for comprehensively integrating data modalities. Here we apply an unsupervised learning method—similarity network fusion—to objectively integrate MRI morphometry, dopamine active transporter binding, protein assays, and clinical measurements from n = 186 individuals with de novo Parkinson’s disease from the Parkinson’s Progression Markers Initiative. We show that multimodal fusion captures inter-dependencies among data modalities that would otherwise be overlooked by field standard techniques like data concatenation. We then examine how patient subgroups derived from fused data map onto clinical phenotypes, and how neuroimaging data is critical to this delineation. Finally, we identify a compact set of phenotypic axes that span the patient population, demonstrating that this continuous, low-dimensional projection of individual patients presents a more parsimonious representation of heterogeneity in the sample compared to discrete biotypes. Altogether, these findings showcase the potential of similarity network fusion for combining multimodal data in heterogeneous patient populations.

scholarly journals Factors Influencing Patients’ Initial Decisions Regarding Telepsychiatry Participation During the COVID-19 Pandemic: Telephone-Based Survey (Preprint)

2020 ◽  
Author(s):  
Jennifer Severe ◽  
Ruiqi Tang ◽  
Faith Horbatch ◽  
Regina Onishchenko ◽  
Vidisha Naini ◽  
...  
Keyword(s):  
Psychiatric Care ◽  
Patient Characteristics ◽  
Quality Improvement Initiative ◽  
Patient Age ◽  
Health Crisis ◽  
Factors Influencing ◽  
Patient Âgé ◽  
Virtual Visits ◽  
Survey Responses ◽  
At Home

BACKGROUND Telepsychiatry enables patients to establish or maintain psychiatric care during the COVID-19 pandemic. Little is known about the factors influencing patients’ initial decisions to participate in telepsychiatry in the midst of a public health crisis. OBJECTIVE This paper seeks to examine factors influencing patients’ initial decisions to accept or decline telepsychiatry immediately after the stay-at-home order in Michigan, their initial choice of virtual care modality (video or telephone), and their anticipated participation in telepsychiatry once clinics reopen for in-person visits. METHODS Between June and August 2020, we conducted a telephone-based survey using a questionnaire comprising 14 quantitative and two qualitative items as part of a quality improvement initiative. We targeted patients who had an in-person appointment date that fell in the first few weeks following the Michigan governor’s stay-at-home order, necessitating conversion to virtual visits or deferment of in-person care. We used descriptive statistics to report individual survey responses and assess the association between chosen visit type and patient characteristics and future participation in telepsychiatry using multivariable logistic regression. RESULTS A total of 244 patients whose original in-person appointments were scheduled within the first 3 weeks of the stay-at-home order in Michigan completed the telephone survey. The majority of the 244 respondents (n=202, 82.8%) initially chose to receive psychiatric care through video visits, while 13.5% (n=33) chose telephone visits and 1.2% (n=3) decided to postpone care until in-person visit availability. Patient age correlated with chosen visit type (<i>P</i>&lt;.001; 95% CI 0.02-0.06). Patients aged ≥44 years were more likely than patients aged 0-44 years to opt for telephone visits (relative risk reduction [RRR] 1.2; 95% CI 1.06-1.35). Patient sex (<i>P</i>=.99), race (<i>P</i>=.06), type of insurance (<i>P</i>=.08), and number of previous visits to the clinic (<i>P</i>=.63) were not statistically relevant. Approximately half of the respondents (114/244, 46.7%) stated they were likely to continue with telepsychiatry even after in-person visits were made available. Telephone visit users were less likely than video visit users to anticipate future participation in telepsychiatry (RRR 1.08; 95% CI 0.97-1.2). Overall, virtual visits met or exceeded expectations for the majority of users. CONCLUSIONS In this cohort, patient age correlates with the choice of virtual visit type, with older adults more likely to choose telephone visits over video visits. Understanding challenges to patient-facing technologies can help advance health equity and guide best practices for engaging patients and families through telehealth.

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