Cross-sectional assessment of mental health and service disparities in a high-risk community.

Abstract Background: There are no accurate estimates of the prevalence of non-severe maternal morbidities. Given the lack of instruments to fully assess these morbidities, the World Health Organization (WHO) developed an instrument called WOICE. Objective: To evaluate the prevalence of non-severe maternal morbidities in puerperal women and factors associated to impaired clinical, social and mental health conditions. Method: A cross-sectional study with postpartum women at a high-risk outpatient clinic in southeast Brazil, from November 2017 to December 2018. The WOICE questionnaire included three sections: the first with maternal and obstetric history, sociodemographic data, risk and environment factors, violence and sexual health; the second considers functionality and disability, general symptoms and mental health; and the third includes data on physical and laboratory tests. Data collection was supported by Tablets with REDCAP software. Initially, a descriptive analysis was performed, with general prevalence of all variables contained in the WOICE, including scales on anxiety and depression (GAD-7 and PHQ-9- impaired if ≥10), functionality (WHODAS- high disability scores when ≥37.4) and data on violence and substance use. Subsequently, an evaluation of cases with positive findings was performed, with a Poisson regression to investigate factors associated to impaired non-clinical and clinical conditions. Results: 517 women were included, majority (54.3%) multiparous, between 20 and 34 years (65.4%) and with a partner (75,6%). Over a quarter had (26.2%) preterm birth. Around a third (30.2%) reported health problems informed by the physician, although more than 80% considered having good or very good health. About 10% reported any substance use and 5.9% reported exposure to violence. Anxiety was identified in 19.8% of cases, depression in 36.9% and impaired functioning in 4.4% of women. Poisson regression identified that poor overall health rating was associated to increased anxiety/depression and impaired functioning. Having a partner reduced perception of women on the presence of clinical morbidities. Conclusion: During postpartum care of a high-risk population, over one third of the considered women presented anxiety and depression; 10% reported substance use and around 6% exposure to violence. These aspects of women´s health need further evaluation and specific interventions to improve quality of care.

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Mental Health and its Relationship With Social Support in Iranian Women With High-Risk Sexual Behaviors

International Journal of Women s Health and Reproduction Sciences ◽

10.15296/ijwhr.2019.18 ◽

2018 ◽

Vol 7 (1) ◽

pp. 112-118

Author(s):

Sharare Amani ◽

Hossin Ebrahimi ◽

Mojgan Mirghafourvand ◽

Fahimeh Sehhatie Shafaie

Keyword(s):

Mental Health ◽

Social Support ◽

High Risk ◽

Sexual Behaviors ◽

Social Protection ◽

Cross Sectional Study ◽

Health Determinants ◽

Cross Sectional ◽

Sexually Transmitted ◽

Depression Subscale

Objectives: The violence and prostitution are examples of the stressors in the women with high-risk sexual behaviors and can create a psychological crisis in these women. The purpose of this study was to determine the relationship of mental health with social support in the women with high -risk sexual behaviors visiting drop-in centers (DICs) in Tabriz, Iran, in 2017. Materials and Methods: This cross-sectional study was conducted on 149 women with high-risk sexual behaviors, visiting three DICs in Tabriz, Iran. The sampling was purposive and non-random. Data were collected using socio-demographic characteristics, social support (PRQ-part 85), and mental health (GHQ-28) questionnaires. A test of multivariate linear regression was performed to identify a number of mental health determinants and explanation of variance. Results: The mental health score was 50.7 (18.2), the score ranged from 0-84. The best status belonged to depression subscale [10.5 (7.1)] and the worst status belonged to social dysfunction subscale [14.6 (4.5)]. The mental health and its subscales had a significant relationship with social support (P<0.001, R= -0.55 to -0.33). The variables of social support, drug use, and spousal violence were able to predict 35.4% of mental health variance in the women. Conclusions: According to the results, appropriate strategies are needed to promote social protection and mental health in the women with high-risk sexual behaviors in order to reduce the sexually transmitted diseases especially HIV/AIDS in the society.

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A chatbot-based assessment of employees' mental health: Design process and pilot implementation (Preprint)

10.2196/preprints.21678 ◽

2020 ◽

Author(s):

Ines Hungerbuehler ◽

Kate Daley ◽

Kate Cavanagh ◽

Heloísa Garcia Claro ◽

Michael Kapps

Keyword(s):

Mental Health ◽

High Risk ◽

Design Process ◽

Mental Health Problems ◽

Health Assessment ◽

Cost Effective ◽

Response Rates ◽

Cross Sectional ◽

Work Related ◽

Pilot Implementation

BACKGROUND Stress, burnout and mental health problems, such as depression and anxiety are common and can significantly impact on workplaces through absenteeism and reduced productivity. To address this issue, organizations must first understand the extent of the difficulties by mapping the mental health of their workforce. Online surveys are a cost-effective and scalable way to do this but typically have low response rates, in part due to a lack of interactivity. Chatbots offer one potential solution, enhancing engagement through simulated natural human conversation and use of interactive features. OBJECTIVE To describe the design process and results of a pilot implementation of a chatbot-based assessment of employee mental health within the workplace. METHODS A fully automated and intelligent chatbot (‘Viki’) was developed to evaluate employee risks of suffering from depression (PHQ-9), anxiety (GAD-7), stress (DASS-21), insomnia (ISI), burnout (OLBI) and work-related stressors (JSS). The chatbot uses a conversation style and gamification features including story/theme and feedback to enhance engagement. The chatbot was implemented within a small to medium-sized enterprise (SME) (N=120) in a cross-sectional study. RESULTS In total, 98 (82%) employees started the assessment, and 77 (79%) completed it. The majority of employees (54/77, 70%) reported a high risk of suffering from work-related stress. Over one-third (26/77, 34%) reported a high risk of suffering from burnout, 21 (27%) from anxiety, 14 (18%) from general stress, 12 (16%) from depression and 7 (9%) from insomnia. Depression, anxiety, and insomnia were strongly correlated with a measure of presenteeism (r between 0.8 and 0.9). CONCLUSIONS A chatbot-based workplace mental health assessment seems to be a highly engaging and effective way to collect anonymized mental health data among employees with response rates comparable to face-to-face interviews. CLINICALTRIAL N/A

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Risk of work addiction in academic physicians prevalence, determinants and impact on quality of life

International Journal of Family & Community Medicine ◽

10.15406/ijfcm.2021.05.00239 ◽

2021 ◽

Vol 5 (5) ◽

pp. 158-166

Author(s):

Irtyah Merchaoui ◽

Abir Gana ◽

Samia Machghoul ◽

Ines Rassas ◽

Marouen Hayouni ◽

...

Keyword(s):

Mental Health ◽

High Risk ◽

Participation Rate ◽

Assistant Professor ◽

Teaching Hospitals ◽

Physical And Mental Health ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Work Addiction ◽

Number Of Children

The prevalence of work addiction is constantly increasing worldwide, ranging from 8.3% to 30%, especially among physicians. The aim of this study was to assess the prevalence and characteristics of Work Addiction among academic physicians and its influence on their mental and physical health. This is a cross-sectional survey conducted among the 293 academic physicians practicing in the teaching hospitals of the faculty of Medicine of Monastir in Tunisia. We used a self-administered questionnaire, with the «Work Addiction Risk Test » and the «SF-8 health survey». The participation rate was 24.3%, 24% were addicted to work and 56% were at high risk of addiction. WART score was significantly higher in single, females with medical history of depression or associated depression, poor physical and mental health and psychosomatic symptoms. It was significantly decreased with age, and seniority. Certain psychosocial factors increased WART score. Mental health score was significantly lower in single, females, assistant professor and increased with age, seniority and number of children. Academic physicians are at a high risk of developing work addiction. Preventive guided measures to reconcile family life and work as well as organizational strategies are recommended.

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Risco de Síndrome de Burnout em enfermeiros da saúde mental

Revista de Enfermagem UFPE on line ◽

10.5205/1981-8963.2019.241609 ◽

2019 ◽

Vol 13 ◽

Author(s):

Daiane Da Silva Azevedo ◽

Mônica Madeira Martins Ferraz ◽

Ravena De Sousa Alencar Ferreira ◽

Jefferson Abraão Caetano Lira ◽

Daline Da Silva Azevedo ◽

...

Keyword(s):

Mental Health ◽

High Risk ◽

Psychosocial Care ◽

Maslach Burnout Inventory ◽

Burnout Syndrome ◽

Chi Square ◽

Cross Sectional ◽

Mental Health Nursing ◽

Validated Questionnaire ◽

Salud Mental

Objetivo: avaliar o risco de Síndrome de Burnout em enfermeiros que atuam na saúde mental. Método: trata-se de um estudo quantitativo, descritivo, transversal e analítico, com 23 enfermeiros que atuam em um hospital psiquiátrico e em Centros de Atenção Psicossociais. Coletaram-se os dados por meio de um questionário validado e do instrumento Maslach Burnout Inventory. Utilizou-se o teste qui-quadrado de Pearson para se associar as variáveis. Apresentaram-se os resultados em forma de tabelas e figura. Resultados: constatou-se que 60,9% dos profissionais apresentaram baixa exaustão emocional; 65,2%, baixa despersonalização e 47,8%, alta realização profissional. Destaca-se que, apesar de os profissionais não apresentarem a Síndrome de Burnout, 47,8% demonstraram um alto risco para o seu desenvolvimento. Conclusão: evidenciou-se que os enfermeiros da saúde mental apresentaram um elevado risco para a Síndrome de Burnout e demonstraram associações significativas a alguns fatores preditores e sintomas desse agravo. Descritores: Esgotamento Profissional; Saúde Mental; Enfermagem; Serviços de Saúde Mental; Saúde do Trabalhador; Enfermagem Psiquiátrica.ABSTRACTObjective: to evaluate the risk of Burnout Syndrome in nurses working in mental health. Method: this is a quantitative, descriptive, cross-sectional and analytical study with 23 nurses who work in a psychiatric hospital and in Psychosocial Care Centers. Data were collected through a validated questionnaire and the Maslach Burnout Inventory instrument. Pearson's chi-square test was used to associate the variables. Results were presented in tables and figures. Results: it was found that 60.9% of professionals had low emotional exhaustion; 65.2%, low depersonalization and 47.8%, high professional achievement. It is noteworthy that, although professionals do not have Burnout Syndrome, 47.8% demonstrated a high risk for its development. Conclusion: it was evidenced that mental health nurses had a high risk for Burnout Syndrome and showed significant associations with some predictors and symptoms of this condition. Descriptors: Burnout, Professional; Mental Health; Nursing; Mental Health Services; Occupational Health; Psychiatric Nursing.RESUMENObjetivo: evaluar el riesgo de síndrome de Burnout en enfermeros que trabajan en salud mental. Método: estudio cuantitativo, descriptivo, transversal y analítico con 23 enfermeros que trabajan en un hospital psiquiátrico y en Centros de Atención Psicosocial. Los datos fueron recolectados a través de un cuestionario validado y el instrumento Maslach Burnout Inventory. La prueba de chi-cuadrado de Pearson se utilizó para asociar las variables. Los resultados se presentaron en tablas y figuras. Resultados: se encontró que el 60.9% de los profesionales tenían bajo agotamiento emocional; 65,2%, baja despersonalización y 47,8%, alto rendimiento profesional. Es de destacar que, aun que los profesionales no tienen síndrome de Burnout, el 47.8% demostró un alto riesgo para su desarrollo. Conclusión: se evidenció que los enfermeros de salud mental tenían un alto riesgo de síndrome de Burnout y mostraron asociaciones significativas con algunos predictores y síntomas de este agravio. Descriptores: Agotamiento Profesional; Salud Mental; Enfermería; Servicios de Salud Mental; Salud Laboral; Enfermería Psiquiátrica.

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Use of latent profile analysis and k-means clustering to identify student anxiety profiles

BMC Psychiatry ◽

10.1186/s12888-021-03648-7 ◽

2022 ◽

Vol 22 (1) ◽

Author(s):

Fang Liu ◽

Dan Yang ◽

Yueguang Liu ◽

Qin Zhang ◽

Shiyu Chen ◽

...

Keyword(s):

Mental Health ◽

High Risk ◽

Latent Profile Analysis ◽

Profile Analysis ◽

Risk Groups ◽

High Risk Group ◽

Cross Sectional ◽

Student Anxiety ◽

Targeted Interventions ◽

Latent Profile

Abstract Background Anxiety disorders are often the first presentation of psychopathology in youth and are considered the most common psychiatric disorders in children and adolescents. This study aimed to identify distinct student anxiety profiles to develop targeted interventions. Methods A cross-sectional study was conducted with 9738 students in Yingshan County. Background characteristics were collected and Mental Health Test (MHT) were completed. Latent profile analysis (LPA) was applied to define student anxiety profiles, and then the analysis was repeated using k-means clustering. Results LPA yielded 3 profiles: the low-risk, mild-risk and high-risk groups, which comprised 29.5, 38.1 and 32.4% of the sample, respectively. Repeating the analysis using k-means clustering resulted in similar groupings. Most students in a particular k-means cluster were primarily in a single LPA-derived student profile. The multinomial ordinal logistic regression results showed that the high-risk group was more likely to be female, junior, and introverted, to live in a town, to have lower or average academic performance, to have heavy or average academic pressure, and to be in schools that have never or occasionally have organized mental health education activities. Conclusions The findings suggest that students with anxiety symptoms may be categorized into distinct profiles that are amenable to varying strategies for coordinated interventions.

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Population Health Management to identify and characterise ongoing health need for high-risk individuals shielded from COVID-19: a cross-sectional cohort study

BMJ Open ◽

10.1136/bmjopen-2020-041370 ◽

2020 ◽

Vol 10 (9) ◽

pp. e041370

Author(s):

Charlie Kenward ◽

Adrian Pratt ◽

Sam Creavin ◽

Richard Wood ◽

Jennifer A Cooper

Keyword(s):

Mental Health ◽

High Risk ◽

Population Health ◽

Health Management ◽

High Risk Group ◽

High Risk Population ◽

Care Providers ◽

Cross Sectional ◽

Risk Population ◽

Population Health Management

ObjectivesTo use Population Health Management (PHM) methods to identify and characterise individuals at high-risk of severe COVID-19 for which shielding is required, for the purposes of managing ongoing health needs and mitigating potential shielding-induced harm.DesignIndividuals at ‘high risk’ of COVID-19 were identified using the published national ‘Shielded Patient List’ criteria. Individual-level information, including current chronic conditions, historical healthcare utilisation and demographic and socioeconomic status, was used for descriptive analyses of this group using PHM methods. Segmentation used k-prototypes cluster analysis.SettingA major healthcare system in the South West of England, for which linked primary, secondary, community and mental health data are available in a system-wide dataset. The study was performed at a time considered to be relatively early in the COVID-19 pandemic in the UK.Participants1 013 940 individuals from 78 contributing general practices.ResultsCompared with the groups considered at ‘low’ and ‘moderate’ risk (ie, eligible for the annual influenza vaccination), individuals at high risk were older (median age: 68 years (IQR: 55–77 years), cf 30 years (18–44 years) and 63 years (38–73 years), respectively), with more primary care/community contacts in the previous year (median contacts: 5 (2–10), cf 0 (0–2) and 2 (0–5)) and had a higher burden of comorbidity (median Charlson Score: 4 (3–6), cf 0 (0–0) and 2 (1–4)). Geospatial analyses revealed that 3.3% of rural and semi-rural residents were in the high-risk group compared with 2.91% of urban and inner-city residents (p<0.001). Segmentation uncovered six distinct clusters comprising the high-risk population, with key differentiation based on age and the presence of cancer, respiratory, and mental health conditions.ConclusionsPHM methods are useful in characterising the needs of individuals requiring shielding. Segmentation of the high-risk population identified groups with distinct characteristics that may benefit from a more tailored response from health and care providers and policy-makers.

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Screening nursing students to identify those at high risk of poor mental health: a cross-sectional survey

BMJ Open ◽

10.1136/bmjopen-2018-025912 ◽

2019 ◽

Vol 9 (6) ◽

pp. e025912 ◽

Cited By ~ 3

Author(s):

Der-Yun Hsiung ◽

Ching-Lun Tsai ◽

Ling-Chun Chiang ◽

Wei-Fen Ma

Keyword(s):

Mental Health ◽

Nursing Students ◽

High Risk ◽

State Anxiety ◽

Health Screening ◽

Poor Mental Health ◽

Mental Health Screening ◽

Screening Tools ◽

Cross Sectional ◽

Increased Risk

ObjectivesThis study aimed to identify those at high risk of poor mental health among nursing students and to examine the relationships and consistency among five mental health assessments.DesignA cross-sectional design with purposive sampling was used. Four mental health screening tools plus previous mental health history/information were conducted during June 2015 to October 2016.SettingA nursing major university in Taiwan.ParticipantsA total of 2779 participants aged between 19 and 45 years were recruited.Main outcome measuresFive mental health risks were identified: increased risk for ultra-high risk, putative prepsychosis states, high trait anxiety, high state anxiety with genetic risk and depression.ResultsOut of the 3395 collected questionnaire, 2779 (82%) were found valid and included in the study. 612 (22%) of the participants were identified to be at mental health risk. 12 of them appeared positive in four, 79 in three, 148 in two and 373 in one of the adopted mental health screening tools. 69 participants had the experience of seeking medical help due to mental health issues, and 58% of them were identified to be at risk of mental health during the screening. Trait and state anxiety scored the highest in correlation analysis (r(2620)=0.76, p<0.001). Correlations were observed in the scores on the subscales of Chinese Version of Schizotypal Personality Questionnaire-Brief (CSPQ-B) and those of Brief self-report Questionnaire for Screening Putative Prepsychotic States (BQSPS), and the highest correlation coefficients was (r(2740)=0.70, p<0.001). Although both of the screening tools are used to assess mental illness risk at its prodromal phase, but CSPQ-B in general appeared to have more rigorous screening criteria than BQSPS.ConclusionFor expediting early identification high risk of poor mental health, easy-to-use screening questionnaires can be adopted to assess the mental health state of nursing students whose mental well-being and overall health are of vital importance to the entire healthcare industry.

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Risk of suicide among nursing students

Revista Brasileira de Enfermagem ◽

10.1590/0034-7167-2020-0867 ◽

2021 ◽

Vol 74 (6) ◽

Author(s):

Stephane Marcele Almeida Braga Moraes ◽

Valquíria Farias Bezerra Barbosa ◽

Ana Carla Silva Alexandre ◽

Silvana Cavalcanti dos Santos ◽

Fernanda Jorge Guimarães ◽

...

Keyword(s):

Mental Health ◽

Higher Education ◽

Nursing Students ◽

High Risk ◽

Quantitative Research ◽

Public Institution ◽

Students At Risk ◽

Cross Sectional ◽

Brazilian Version ◽

Previous Suicide Attempt

ABSTRACT Objectives: to identify the risk and degree of risk of suicide in nursing students of a public institution in the countryside of Pernambuco, Brazil. Methods: this was a cross-sectional, quantitative research conducted with 150 students. For data collection, a sociodemographic questionnaire and the instrument, M.I.N.I. - Brazilian version 5.0.0 - Module C - Risk of suicide were used. Statistical analyses were performed with IBM(® )SPSS(®), version 23. Results: 53.3% of nursing students had a risk of suicide, of which 20.7% had a high risk. Moreover, 22.67% reported previous suicide attempt. It is noteworthy that students without a partner have a higher risk of suicide (56.8%) than those with a partner (29.4%). Conclusions: it is perceived the need to develop programs that identify students at risk of suicide in higher education institutions, in order to raise awareness of the problem and implement policies to promote mental health in the academia.

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