scholarly journals Disparities in Alcohol, Drug Use, and Mental Health Condition Prevalence and Access to Care in Rural, Isolated, and Reservation Areas: Findings From the South Dakota Health Survey

2015 ◽  
Vol 32 (3) ◽  
pp. 287-302 ◽  
Author(s):  
Melinda M. Davis ◽  
Margaret Spurlock ◽  
Kristen Dulacki ◽  
Thomas Meath ◽  
Hsin-Fang Grace Li ◽  
...  
Keyword(s):  
Mental Health ◽  
Drug Use ◽  
Access To Care ◽  
South Dakota ◽  
Health Survey ◽  
Health Condition ◽  
Mental Health Condition ◽  
The South

scholarly journals Disparities in access to health care in Australia for people with mental health conditions

2019 ◽  
Vol 43 (6) ◽  
pp. 619
Author(s):  
L. Corscadden ◽  
E. J. Callander ◽  
S. M. Topp
Keyword(s):  
Mental Health ◽  
Physical Health ◽  
Access To Care ◽  
Consensus Statement ◽  
Health Condition ◽  
Health Conditions ◽  
Mental Health Condition ◽  
Immigrant Status ◽  
Mental Health Conditions ◽  
Barriers To Access

Objective One aim of Australia’s Equally Well National Consensus Statement is to improve monitoring of the physical health of people with mental health conditions, which includes measures of accessibility and people’s experiences of physical health care services. The present analysis contributes to this aim by using population survey data to evaluate whether, and in what domains, Australians with a mental health condition experience barriers in accessing care when compared with Australians without a mental health condition. Methods The 2016 Commonwealth Fund International Health Policy Survey includes a sample of 5248 Australian adults. Access to care was measured using 39 survey questions from before to after reaching services. Multivariable logistic regression models were used to identify disparities in barriers to access, comparing experiences of people with and without a self-reported mental health condition, adjusting for age, sex, immigrant status, income and self-rated health. Results Australians with mental health conditions were more likely to experience barriers for 29 of 39 access measures (odds ratio (OR) >1.55; P<0.05). On average, the prevalence of barriers was 10 percentage points higher for those with a condition. When measured as ratios, the largest barriers for people with mental health conditions were for affordability. When measured as percentage point differences, the largest disparities were observed for experiences of not being treated with respect in hospital. Disparities remained after adjusting for income, rurality, education, immigrant status and self-rated health for 25 of 39 measures. Conclusion Compared with the rest of the community, Australians with mental health conditions have additional challenges negotiating the health system, and are more likely to experience barriers to access to care across a wide range of measures. Understanding the extent to which people with mental health conditions experience barriers throughout the pathway to accessing care is crucial to inform care planning and delivery for this vulnerable group. Results may inform improvements in regular performance monitoring of disparities in access for people with mental health conditions. What is known about this topic? A stated national aim of the Equally Well National Consensus Statement is to improve monitoring of the physical health and well-being of people with mental health conditions through measures of service accessibility and people’s experiences of physical healthcare services. What does this paper add? This paper highlights areas in which health services are not providing equal access to overall care for people with mental health conditions. The analysis offers quantitative evidence of ‘red flag areas’ where people with mental health conditions are significantly more likely to experience barriers to access to care. What are the implications for practitioners? Systematic attention across the health system to making care more approachable and accessible for people with mental health conditions is needed. Practitioners may be engaged to discuss possible interventions to improve access disparities for people with mental health conditions.

scholarly journals Parental mental health conditions and use of healthcare services in children the first year of life– a register-based, nationwide study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Signe Heuckendorff ◽  
Martin Nygård Johansen ◽  
Søren Paaske Johnsen ◽  
Charlotte Overgaard ◽  
Kirsten Fonager
Keyword(s):  
Mental Health ◽  
Healthcare Services ◽  
Health Condition ◽  
Health Conditions ◽  
Mental Health Condition ◽  
Parental Mental Health ◽  
Mental Health Conditions ◽  
First Year Of Life ◽  
Paternal Mental Health ◽  
The Impact

Abstract Background Parental mental health conditions have been associated with increased morbidity and use of healthcare services in offspring. Existing studies have not examined different severities of parental mental health conditions, and the impact of paternal mental health has been overlooked. We examined the association between two severities of parental mental health conditions and use of healthcare services for children during the first year of life and explored the impact of both maternal and paternal mental health conditions. Methods This register-based cohort study included all live-born children born in Denmark from 2000 to 2016. Information on socioeconomics, diagnoses, drug prescriptions, and healthcare contacts was extracted from nationwide public registries. Parents were grouped according to severity of mental condition based on the place of treatment of the mental health condition. Negative binominal regression analyses were performed to estimate the incidence rate ratio (IRR) of contacts to general practice (GP), out-of-hour medical service, emergency room (ER), and out- and inpatient hospital contacts during the first 12 months of the child’s life. Results The analyses included 964,395 children. Twenty percent of the mothers and 12 % of the fathers were identified with mental health conditions. Paternal mental health conditions were independently associated with increased risk of infant healthcare contacts (GP IRR 1.05 (CI95% 1.04–1.06) and out-of-hour IRR 1.20 (CI95% 1.18–1.22)). Risks were higher for maternal mental health conditions (GP IRR 1.18 (CI95% 1.17–1.19) and out-of-hour IRR 1.39 (CI95% 1.37–1.41)). The risks were even higher if both parents were classified with a mental health condition (GP IRR 1.25 (CI95% 1.23–1.27) and out-of-hour contacts IRR 1.49 (CI95% 1.45–1.54)), including minor mental health condition (GP IRR 1.22 (CI95% 1.21–1.24) and out-of-hour IRR 1.37 (CI95% 1.34–1.41)). This pattern was the same for all types of healthcare contacts. Conclusions Both maternal and paternal mental health conditions, including minor mental health conditions, were associated with increased utilization of healthcare services. Focus on both parents’ mental health conditions (even if minor) may be warranted in service planning.

scholarly journals Self-reported suboptimal sleep and receipt of sleep assessment and treatment among persons with and without a mental health condition in Australia: a cross sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alexandra P. Metse ◽  
Caitlin Fehily ◽  
Tara Clinton-McHarg ◽  
Olivia Wynne ◽  
Sharon Lawn ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Physical Health ◽  
Health Condition ◽  
Community Dwelling ◽  
Mental Health Condition ◽  
Cross Sectional ◽  
Sleep Assessment ◽  
Assessment And Treatment ◽  
Sleep Parameters

Abstract Background Poor sleep and poor mental health go hand in hand and, together, can have an adverse impact on physical health. Given the already disproportionate physical health inequities experienced by people with a mental health condition worldwide, the need to consider and optimise sleep has been highlighted as a means of improving both physical and mental health status. Sleep recommendations recently developed by the United States’ National Sleep Foundation incorporate a range of sleep parameters and enable the identification of ‘suboptimal’ sleep. Among community-dwelling persons with and without a 12-month mental health condition in Australia, this study reports: [1] the prevalence of ‘suboptimal’ sleep and [2] rates of sleep assessment by a health care clinician/service and receipt of and desire for sleep treatment. Methods A descriptive study (N = 1265) was undertaken using self-report data derived from a cross-sectional telephone survey of Australian adults, undertaken in 2017. Results Fifteen per cent (n = 184) of participants identified as having a mental health condition in the past 12 months. Across most (7 of 8) sleep parameters, the prevalence of suboptimal sleep was higher among people with a mental health condition, compared to those without (all p < 0.05). The highest prevalence of suboptimal sleep for both groups was seen on measures of sleep duration (36–39% and 17–20% for people with and without a mental health condition, respectively). In terms of sleep assessment and treatment, people with a mental health condition were significantly more likely to: desire treatment (37% versus 16%), have been assessed (38% versus 12%) and have received treatment (30% versus 7%). Conclusions The prevalence of suboptimal sleep among persons with a mental health condition in Australia is significantly higher than those without such a condition, and rates of assessment and treatment are low for both groups, but higher for people with a mental health condition. Population health interventions, including those delivered as part of routine health care, addressing suboptimal sleep are needed.

Using Natural Language Processing to Assess the Psychological Effect of COVID-19 Pandemic on Insomnia via Tweets: A Pre-Post Retrospective Pilot Study (Preprint)

2021 ◽  
Author(s):  
Arash Maghsoudi ◽  
Sara Nowakowski ◽  
Ritwick Agrawal ◽  
Amir Sharafkhaneh ◽  
Sadaf Aram ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Temporal Analysis ◽  
Health Condition ◽  
Additional Stress ◽  
Mental Health Condition ◽  
Twitter Users

BACKGROUND The COVID-19 pandemic has imposed additional stress on population health that may result in a higher incidence of insomnia. In this study, we hypothesized that using natural language processing (NLP) to explore social media would help to identify the mental health condition of the population experiencing insomnia after the outbreak of COVID-19. OBJECTIVE In this study, we hypothesized that using natural language processing (NLP) to explore social media would help to identify the mental health condition of the population experiencing insomnia after the outbreak of COVID-19. METHODS We designed a pre-post retrospective study using public social media content from Twitter. We categorized tweets based on time into two intervals: prepandemic (01/01/2019 to 01/01/2020) and pandemic (01/01/2020 to 01/01/2021). We used NLP to analyze polarity (positive/negative) and intensity of emotions and also users’ tweets psychological states in terms of sadness, anxiety and anger by counting the words related to these categories in each tweet. Additionally, we performed temporal analysis to examine the effect of time on the users’ insomnia experience. RESULTS We extracted 268,803 tweets containing the word insomnia (prepandemic, 123,293 and pandemic, 145,510). The odds of negative tweets (OR, 1.31; 95% CI, 1.29-1.33), anger (OR, 1.19; 95% CI, 1.16-1.21), and anxiety (OR, 1.24; 95% CI: 1.21-1.26) were higher during the pandemic compared to prepandemic. The likelihood of negative tweets after midnight was higher than for other daily intevals, comprising approximately 60% of all negative insomnia-related tweets in 2020 and 2021 collectively. CONCLUSIONS Twitter users shared more negative tweets about insomnia during the pandemic than during the year before. Also, more anger and anxiety-related content were disseminated during the pandemic on the social media platform. Future studies using an NLP framework could assess tweets about other psychological distress, habit changes, weight gain due to inactivity, and the effect of viral infection on sleep.

Prevalence of parental mental health conditions among children aged 0–16 years in Denmark: A nationwide register-based cross-sectional study

2021 ◽  
pp. 140349482110454
Author(s):  
Amanda M.S. Christesen ◽  
Camilla K. Knudsen ◽  
Kirsten Fonager ◽  
Martin N. Johansen ◽  
Signe Heuckendorff
Keyword(s):  
Mental Health ◽  
Geographical Variation ◽  
Cross Sectional Study ◽  
Health Condition ◽  
Health Conditions ◽  
Mental Health Condition ◽  
Sectional Study ◽  
Parental Mental Health ◽  
Cross Sectional ◽  
Mental Health Conditions

Aim: Parental mental health conditions adversely affect the children. Information on the prevalence of parental mental health conditions is needed to help policymakers allocate resources appropriately. Therefore, the aim of this study was to estimate the prevalence of children with parental mental health conditions in Denmark and further estimate the age-specific prevalence and geographical variation. Methods: In this nationwide register-based cross-sectional study, we included all children born between 2000 and 2016 if they resided in Denmark on 31 December 2016. Information on both maternal and paternal mental health conditions was retrieved from primary and secondary healthcare registers. Parental mental health conditions were categorised in three severity groups: minor, moderate, and severe. We estimated the proportion of children with parental mental health conditions on 31 December 2016. Results: Of the 1,106,459 children aged 0–16 years, 39.1% had at least one parent with a mental health condition. The prevalence increased with age of the children until the age of six years. Geographical variation in the prevalence ranged from 29.0% to 48.3% in the 98 municipalities. Minor parental mental health conditions (23.5%) were more common than moderate (13.5%) and severe parental mental health conditions (2.2%). Hospital-diagnosed parental mental health conditions were prevalent in 12.8% of the children. Conclusions: Two in five children aged 0–16 years in Denmark have parents with a mental health condition and geographical variation exists. The high prevalence of children with parental mental health conditions is an important public health challenge, which calls for attention.

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