Severity Classification of Mental Health Related Tweets

2021 ◽  
Author(s):  
Praatibh Surana ◽  
Mirza Yusuf ◽  
Sanjay Singh
Keyword(s):  
Mental Health ◽  
Severity Classification ◽  
Health Related

Tracking self-reported symptoms and medical conditions on social media during the COVID-19 pandemic (Preprint)

2021 ◽  
Author(s):  
Qinglan Ding ◽  
Daisy Massey ◽  
Chenxi Huang ◽  
Connor Grady ◽  
Yuan Lu ◽  
...  
Keyword(s):  
Mental Health ◽  
Infectious Disease ◽  
Social Media ◽  
Positive Predictive Value ◽  
Medical Condition ◽  
Medical Conditions ◽  
Health Related ◽  
The U.S ◽  
Over Time

BACKGROUND Harnessing health-related data posted on social media in real-time has the potential to offer insights into how the pandemic impacts the mental health and general well-being of individuals and populations over time. OBJECTIVE The aim of this study was to obtain information on symptoms and medical conditions self-reported by non-Twitter social media users during the coronavirus disease 2019 (COVID-19) pandemic, and to determine how discussion of these symptoms and medical conditions on social media changed over time. METHODS We used natural language processing (NLP) algorithms to identify symptom and medical condition topics being discussed on social media between June 14 and December 13, 2020. The sample social media posts were geotagged by NetBase, a third-party data provider. We calculated the positive predictive value and sensitivity to validate the classification of the posts. We also assessed the frequency of different health-related discussions on social media over time during the study period, and compared the changes in the frequency of each symptom/medical condition discussion to the fluctuation of U.S. daily new COVID-19 cases during the study period. Additionally, we compared the trends of the 5 most commonly mentioned symptoms and medical conditions from June 14 to August 31 (when the U.S. passed 6 million COVID-19 cases) to the trends observed from September 1 to December 13, 2020. RESULTS Within a total of 9,807,813 posts (nearly 70% were sourced from the U.S.), we identified discussion of 120 symptom topics and 1,542 medical condition topics. Our classification of the health-related posts had a positive predictive value of over 80% and an average classification rate of 92% sensitivity. The 5 most commonly mentioned symptoms on social media during the study period were: anxiety (in 201,303 posts or 12.2% of the total posts mentioning symptoms), generalized pain (189,673, 11.5%), weight loss (95,793, 5.8%), fatigue (91,252, 5.5%), and coughing (86,235, 5.2%). The 5 most discussed medical conditions were: COVID-19 (in 5,420,276 posts or 66.4% of the total posts mentioning medical conditions), unspecified infectious disease (469,356, 5.8%), influenza (270,166, 3.3%), unspecified disorders of the central nervous system (253,407, 3.1%), and depression (151,752, 1.9%). The changes in the frequency of 2 medical conditions, COVID-19 and unspecified infectious disease, were similar to the fluctuation of daily new confirmed cases of COVID-19 in the U.S. CONCLUSIONS COVID-19 and symptoms of anxiety were the two most commonly discussed health-related topics on social media from June 14 to December 13, 2020. Real-time monitoring of social media posts on symptoms and medical conditions may help assess the population's mental health status and enhance public health surveillance for infectious disease.

OP40 Criminal Justice Costs And Benefits Of Mental Health Interventions

2019 ◽  
Vol 35 (S1) ◽  
pp. 9-10
Author(s):  
Luca Janssen ◽  
Irina Pokhilenko ◽  
Ruben Drost ◽  
Aggie Paulus ◽  
Silvia Evers
Keyword(s):  
Mental Health ◽  
Criminal Justice ◽  
Literature Search ◽  
Grey Literature ◽  
Economic Evaluations ◽  
Costs And Benefits ◽  
European Healthcare ◽  
Health Related ◽  
Mental Health Interventions

IntroductionMental health disorders and their treatments produce costs and benefits in both healthcare and non-healthcare sectors. The latter one is often referred to as inter-sectoral costs and benefits (ICBs). Limited research is available on the inclusion of these inter-sectoral costs and benefits (ICBs) in economic evaluations. In this study, we focus on the identification and classification of ICBs of mental health-related interventions within the criminal justice sector in a broader European context. This study was conducted as part of the PECUNIA-project, which aims to develop new standardized, harmonized and validated methods and tools for the assessment of costs and outcomes in European healthcare systems. The aim of the study is to further conceptualize an internationally applicable list of ICBs of mental health-related interventions in the criminal justice sector. Additionally, we aim to facilitate the inclusion of ICBs in economic evaluations across EU by prioritizing important ICBs.MethodsData was collected via a systematic literature search on PubMed and PsychINFO. Additionally, a grey literature search was carried out in six European countries. In order to validate the international applicability of the list and prioritize the ICBs, a survey was conducted with an international group of experts from the criminal justice sector.ResultsThe literature search identified ICBs and resulted in a comprehensive list of items. A multi-dimensional list was constructed, distinguishing between costs as consequence of crime, and costs in response to crime. Based on the expert survey, the international applicability of the list was validated and the most important ICBs from the economic perspective were identified.ConclusionsThis study laid further foundations for the inclusion of important societal costs of mental health-related interventions within the criminal justice sector. More research is needed to facilitate the greater use of ICBs in economic evaluations.

Mental Health Related Work Absences in Chile

2012 ◽  
Author(s):  
Vilma Ortiz ◽  
Juan Pablo Osorio
Keyword(s):  
Mental Health ◽  
Health Related

Association of Optimism and Health-Related Behavior with Mental Health in Czech Adolescents

2016 ◽  
Author(s):  
Helena Klimusova ◽  
Iva Buresova ◽  
aroslava Dosedlova ◽  
Martin Jelinek
Keyword(s):  
Mental Health ◽  
Health Related

Mental Health Status and Health-Related Quality of Life among Systemic Lupus Erythematosus (SLE) Patients in Thailand: A Multi-Site Study

2020 ◽  
Vol 103 (11) ◽  
pp. 1185-1193
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Health Status ◽  
Lupus Erythematosus ◽  
Self Esteem ◽  
Mental Health Status ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Background: The systemic lupus erythematosus (SLE) patients oftentimes suffer from both physical and psychosocial challenges that may lead to low health-related quality of life (HRQoL). However, limited research has been done in this area. Objective: To examined mental health status and HRQoL among SLE patients in Thailand. Materials and Methods: The present study was a cross-sectional study conducted at the rheumatology clinic of four major hospitals in Thailand. The paper-based questionnaire consisted of demographic, health history such as depression, anxiety, stress Scale (DASS-21), and the Rosenberg self-esteem scale (RSE), and the disease-specific Lupus Quality of Life scale (LupusQoL). Depending on the variable’s level of measurement such as categorical or continuous, Spearman’s Rho or Pearson’s product moment correlation coefficients were used to explore the relationships among the variables. Hierarchical multiple regression was used to identify the predictors of LupusQoL. Results: Among the 387 participants, many might have experienced depression, anxiety, and stress (30%, 51%, and 29%, respectively). Self-esteem among the participants was good (31.8 out of 40). All eight domains of LupusQoL were affected with intimate relationship domain being impacted the most. The overall LupusQoL was significantly associated with the number of prescribed medications (r=–0.23), depression (r=–0.70), anxiety (r=–0.58), stress (r=–0.67), and self-esteem (r=0.59), p<0.001. Significant predictors of the overall LupusQoL were mental health status (depression, anxiety, and stress) and self-esteem, F (3, 81)=43.10, p<0.001, adjusted R²=0.60. Conclusion: SLE patients should be holistically assessed in both physical and psychological aspects. In addition to proper medical treatments, healthcare providers should use a multidisciplinary team approach to resolve the patients’ psychosocial issues, which in turn, may increase the patients’ quality of life. Self-care education may be necessary to help the patients manage the condition and decrease the number of medications. Keywords: Mental health, Quality of life, SLE, Thailand

scholarly journals Early stage melanoma diagnosis and mental health-related: emotional influence of body self-perception

2021 ◽  
pp. 100188
Author(s):  
Dina Di Giacomo ◽  
Jessica Ranieri ◽  
Federica Guerra ◽  
Eleonora Cilli ◽  
Valeria Ciciarelli ◽  
...  
Keyword(s):  
Mental Health ◽  
Early Stage ◽  
Self Perception ◽  
Melanoma Diagnosis ◽  
Health Related ◽  
Body Self

scholarly journals Characteristics of Confidence and Preparedness in Paramedics in Metropolitan, Regional, and Rural Australia to Manage Mental-Health-Related Presentations: A Cross-Sectional Study

2021 ◽  
Vol 18 (4) ◽  
pp. 1882
Author(s):  
Kate Emond ◽  
Melanie Bish ◽  
Michael Savic ◽  
Dan I. Lubman ◽  
Terence McCann ◽  
...  
Keyword(s):  
Mental Health ◽  
Rural Areas ◽  
Cross Sectional Study ◽  
Categorical Variables ◽  
Considerable Proportion ◽  
Sectional Study ◽  
Cross Sectional ◽  
Health Related ◽  
Manage Mental ◽  
Manage Mental Health

Mental-health-related presentations account for a considerable proportion of the paramedic’s workload in prehospital care. This cross-sectional study aimed to examine the perceived confidence and preparedness of paramedics in Australian metropolitan and rural areas to manage mental-health-related presentations. Overall, 1140 paramedics were surveyed. Pearson chi-square and Fisher exact tests were used to compare categorical variables by sex and location of practice; continuous variables were compared using the non-parametric Mann–Whitney and Kruskal–Wallis tests. Perceived confidence and preparedness were each modelled in multivariable ordinal regressions. Female paramedics were younger with higher qualifications but were less experienced than their male counterparts. Compared to paramedics working in metropolitan regions, those working in rural and regional areas were generally older with fewer qualifications and were significantly less confident and less prepared to manage mental health presentations (p = 0.001). Compared to male paramedics, females were less confident (p = 0.003), although equally prepared (p = 0.1) to manage mental health presentations. These results suggest that higher qualifications from the tertiary sector may not be adequately preparing paramedics to manage mental health presentations, which signifies a disparity between education provided and workforce preparedness. Further work is required to address the education and training requirements of paramedics in regional and rural areas to increase confidence and preparedness in managing mental health presentations.

scholarly journals A pilot comparison of medical records sensitivity perspectives of patients with behavioral health conditions and healthcare providers

2021 ◽  
Vol 27 (2) ◽  
pp. 146045822110099
Author(s):  
Hiral Soni ◽  
Julia Ivanova ◽  
Adela Grando ◽  
Anita Murcko ◽  
Darwyn Chern ◽  
...  
Keyword(s):  
Mental Health ◽  
Drug Abuse ◽  
Behavioral Health ◽  
Health Information ◽  
Healthcare Providers ◽  
Health Conditions ◽  
Mixed Methods Approach ◽  
Record Data ◽  
Category Labels

This pilot study compares medical record data sensitivity (e.g., depression is sensitive) and categorization perspective (e.g., depression categorized as mental health information) of patients with behavioral health conditions and healthcare providers using a mixed-methods approach employing patient’s own EHR. Perspectives of 25 English- and Spanish-speaking patients were compared with providers. Data categorization comparisons resulted in 66.3% agreements, 14.5% partial agreements, and 19.3% disagreements. Sensitivity comparisons obtained 54.5% agreement, 11.9% partial agreement, and 33.6% disagreements. Patients and providers disagreed in classification of genetic data, mental health, drug abuse, and physical health information. Factors influencing patients’ sensitivity determination were sensitive category comprehension, own experience, stigma towards category labels (e.g., drug abuse), and perception of information applicability (e.g., alcohol dependency). Knowledge of patients’ sensitivity perceptions and reconciliation with providers could expedite the development of granular and personalized consent technology.

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