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We aimed to examine the association of young and middle-aged sibling bereavement with use of health services and risk of developing mental health disorders over 24 months before and after sibling's death. All persons aged 18-56 years who died of illness/natural causes between 2009 and 2016 were identified in the Danish Register of Causes of Death. The study sample included 31,842 bereaved siblings and 31,842 age- and sex-matched controls. Overall, the largest effect was observed for increased use of psychological services: For women, the peak was observed 4-6 months after the death (odds ratio (OR) = 3.31, 95% confidence interval (CI): 2.85, 3.85) and for men in the first 3 months after the death (OR = 2.63, 95% CI: 2.06, 3.36). The peak of being diagnosed in a hospital setting with any mental disorder for women was observed in the period 13-15 months after sibling death (OR = 1.52, 95% CI: 1.11, 2.07) and for men in the first 3 months after the death (OR = 1.75, 95% CI: 1.32, 2.32). Young and middle-aged adults who experienced the death of a sibling are more likely to use health services and are at risk of poorer mental health outcomes. During the bereavement process, young and middle-aged siblings are especially in need of mental health support, such as professional psychological counseling., (© The Author(s) 2021. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Emergency department (ED) utilization has increased due to factors such as admissions for mental health conditions, including suicide and self-harm. We investigate direct and moderating influences on non-emergent ED utilization through the Behavioral Model of Health Services Use. Through logistic regression, we examined correlates of ED use via 2014 New York State Department of Health Statewide Planning and Research Cooperative System outpatient data. Consistent with the primary hypothesis, mental health admissions were associated with emergent use across models, with only a slight decrease in effect size in rural living locations. Concerning moderating effects, Spanish/Hispanic origin was associated with increased likelihood for emergent ED use in the rural living location model, and non-emergent ED use for the no non-emergent source model. 'Other' ethnic origin increased the likelihood of emergent ED use for rural living location and no non-emergent source models. The findings reveal 'need', including mental health admissions, as the largest driver for ED use. This may be due to mental healthcare access, or patients with mental health emergencies being transported via first responders to the ED, as in the case of suicide, self-harm, manic episodes or psychotic episodes. Further educating ED staff on this patient population through gatekeeper training may ensure patients receive the best treatment and aid in driving access to mental healthcare delivery changes., Competing Interests: The authors declare no conflict of interest.

Background and objectivesThe evidence base on health services use and cost burdens associated with transition to severe cognitive impairment (SCI) and dementia is underdeveloped. We examine how the change in cognitive impairment status influences nursing home use, hospitalizations, and out-of-pocket (OOP) expenditures.Research design and methodsWe use prospective data from the Health and Retirement Study (2007/2008-2015/2016) on adults 70 years and older meeting research criteria for cognitive impairment not dementia (CIND) at baseline (unweighted n = 1,692) to fit 2-part models testing how reversion to normal cognition, stability (CIND maintenance), and transition into SCI/dementia influence change in yearly nursing home use, hospitalizations, and OOP expenditures.ResultsOver 8 years, 5.9% reverted, 15.9% remained CIND, 14.9% transitioned to SCI/dementia, and 63.3% died. We observed substantial increases in the propensity of any nursing home use which were particularly pronounced among those who transitioned or died during follow-up and similar but less pronounced differences in patterns of inpatient hospitalizations. Average baseline OOP spending was similar among reverters ($1156 [95% confidence interval = 832-1,479]), maintainers ($1,145 [993-1,296]), and transitioners ($1,385 [1,041-1,730]). Individuals who died during follow-up spent $2,529 (2,101-2,957). By the eighth year of follow-up, spending among reverters increased to $1,402 (869-1,934) and $2,188 (1,402-2,974) and $8,988 (5,820-12,157) for maintainers and transitioners, respectively. Average spending at the wave preceding death was $7,719 (4,345-11,094). Estimates were only partly attenuated through adjustment to covariables.Discussion and implicationsA better understanding of variations in health services use and cost burdens among individuals with mild cognitive impairment can help guide targeted care and financial planning.

Abstract Background Homelessness is associated with substantial morbidity. Data linkages between homeless and health systems are important to understand unique needs across homeless populations, identify homeless individuals not registered in homeless databases, quantify the impact of housing services on health-system use, and motivate health systems and payers to contribute to housing solutions. Methods We performed a cross-sectional survey including six health systems and two Homeless Management Information Systems (HMIS) in Cook County, Illinois. We performed privacy-preserving record linkage to identify homelessness through HMIS or ICD-10 codes captured in electronic medical records. We measured the prevalence of health conditions and health-services use across the following typologies: housing-service utilizers stratified by service provided (stable, stable plus unstable, unstable) and non-utilizers (i.e., homelessness identified through diagnosis codes—without receipt of housing services). Results Among 11,447 homeless recipients of healthcare, nearly 1 in 5 were identified by ICD10 code alone without recorded homeless services (n = 2177; 19%). Almost half received homeless services that did not include stable housing (n = 5444; 48%), followed by stable housing (n = 3017; 26%), then receipt of both stable and unstable services (n = 809; 7%). Setting stable housing recipients as the referent group, we found a stepwise increase in behavioral-health conditions from stable housing to those known as homeless solely by health systems. Compared to those in stable housing, prevalence rate ratios (PRR) for those without homeless services were as follows: depression (PRR = 2.2; 95% CI 1.9 to 2.5), anxiety (PRR = 2.5; 95% CI 2.1 to 3.0), schizophrenia (PRR = 3.3; 95% CI 2.7 to 4.0), and alcohol-use disorder (PRR = 4.4; 95% CI 3.6 to 5.3). Homeless individuals who had not received housing services relied on emergency departments for healthcare—nearly 3 of 4 visited at least one and many (24%) visited multiple. Conclusions Differences in behavioral-health conditions and health-system use across homeless typologies highlight the particularly high burden among homeless who are disconnected from homeless services. Fragmented and high use of emergency departments for care should motivate health systems and payers to promote housing solutions, especially those that incorporate substance use and mental health treatment.

Background: Early evidence suggests that the COVID-19 pandemic and associated interventions have affected mental well-being and associated health service use. Aims: the aim of this study was to examine the effect of the COVID-19 pandemic and associated public health measures on helpline and telehealth service demand. Methods: the study utilized a mixed methods research design. Segmented regression analyses were used first to identify changes in patterns of demand for Aotearoa/New Zealand national helplines (n = 11) from January 2020 until the end of March 2021. Thematic analysis of 23 in-depth interviews was used next to explore the reasons behind the quantitative findings from the perspective of various organizational stakeholders. Results: the data from 1,244,293 Aotearoa/New Zealand national helplines' contacts between January 2020 and March 2021 showed a non-significant (1.4%) upward trend for the full range of observations. Throughout this period, a peak and trough pattern was observed. Significant demand increases were observed in anticipation of containment measures (12.4% increase from January to March 2020) and significant demand decreases coincided with relaxation of restrictions (6.9% decrease from April to June 2020). There were spikes in demand during public health interventions (i.e., mental health promotion, introduction of new helpline services) and regional lockdowns, but these did not result in significant changes in trends. In general, the demand for helplines stabilized at a new higher level. Most of the contacts occurred by telephone calls. Contacts by other methods (webchat, text, email) have shown higher uptake during the periods of lockdowns. Quantitative-qualitative data triangulation showed that youth and populations who were disproportionally negatively affected by unstable economic conditions and underemployment made more frequent contacts. Providers emphasized that increased demand could be viewed positively as a successful outcome of public health messaging; however, greater capacity is needed to better serve higher demand. Conclusions: COVID-19, related interventions, and measures of control were associated with an increase in contacts to helplines. However, the extent of the demand increases was lower than observed internationally. Moreover, in Aotearoa/New Zealand the reasons for increases in demand were often beyond the COVID-19 pandemic and measures of control. [ABSTRACT FROM AUTHOR]

Background: Homelessness is associated with substantial morbidity. Data linkages between homeless and health systems are important to understand unique needs across homeless populations, identify homeless individuals not registered in homeless databases, quantify the impact of housing services on health-system use, and motivate health systems and payers to contribute to housing solutions.Methods: We performed a cross-sectional survey including six health systems and two Homeless Management Information Systems (HMIS) in Cook County, Illinois. We performed privacy-preserving record linkage to identify homelessness through HMIS or ICD-10 codes captured in electronic medical records. We measured the prevalence of health conditions and health-services use across the following typologies: housing-service utilizers stratified by service provided (stable, stable plus unstable, unstable) and non-utilizers (i.e., homelessness identified through diagnosis codes-without receipt of housing services).Results: Among 11,447 homeless recipients of healthcare, nearly 1 in 5 were identified by ICD10 code alone without recorded homeless services (n = 2177; 19%). Almost half received homeless services that did not include stable housing (n = 5444; 48%), followed by stable housing (n = 3017; 26%), then receipt of both stable and unstable services (n = 809; 7%). Setting stable housing recipients as the referent group, we found a stepwise increase in behavioral-health conditions from stable housing to those known as homeless solely by health systems. Compared to those in stable housing, prevalence rate ratios (PRR) for those without homeless services were as follows: depression (PRR = 2.2; 95% CI 1.9 to 2.5), anxiety (PRR = 2.5; 95% CI 2.1 to 3.0), schizophrenia (PRR = 3.3; 95% CI 2.7 to 4.0), and alcohol-use disorder (PRR = 4.4; 95% CI 3.6 to 5.3). Homeless individuals who had not received housing services relied on emergency departments for healthcare-nearly 3 of 4 visited at least one and many (24%) visited multiple.Conclusions: Differences in behavioral-health conditions and health-system use across homeless typologies highlight the particularly high burden among homeless who are disconnected from homeless services. Fragmented and high use of emergency departments for care should motivate health systems and payers to promote housing solutions, especially those that incorporate substance use and mental health treatment. [ABSTRACT FROM AUTHOR]

Background: Previous research has shown that bereaved individuals are at risk of developing physical and mental health problems. However, knowledge is scarce about the associations between severe grief reactions after bereavement and physical and mental health problems and the use of health services. Objectives: The present study sought to investigate the prevalence of severe grief reactions and to study the associations of severe grief reactions with mental and physical health and health care utilization. Method: The sample comprised 20,453 adults aged 40 and above (mean age = 57.2 years, SD = 11.3 years, 52.4% female) who participated in the seventh wave of the Tromsø study. Severe grief was assessed with one question asking whether the respondent has experienced the death of a loved one and currently has difficulty accepting the loss, yearns for the deceased, and experiences intense emotional pain related to the loss. Furthermore, participants answered questions about their current physical health, mental health (Hopkins Symptom Checklist – 10), and the use of health services in the past year. Results: Overall, 5.2% of the participants reported severe grief after a loss in childhood, 25.9% after bereavement in adulthood and 4.1% after bereavement in the previous year. Female gender, higher age, living without a partner, non-Norwegian ethnicity, and lower socio-economic status were associated with severe grief. Severe grief reactions were negatively related to self-reported health, predicted positively current levels of depression and anxiety, and were positively associated with the use of health services. Effect sizes were small. Gender differences in the use of health services were observed. Conclusion: Severe grief reactions are common in individuals aged 40 and older and associated with self-reported physical and mental health problems as well as increased use of health services. Health service providers should be attentive to possible severe grief in connection with health complaints.

To examine the added effect of having both cognitive deficit and physical frailty, compared to having either one only, on hospitalization and emergency department (ED) visits. Data from a population-based study of 3,157 community-dwelling older (≥60 years) Chinese adults in the U.S. were used. Cognitive deficit was measured by the Mini-Mental State Examination (i.e. education-adjusted score: 16 [illiterate], 19 [primary school], and 23 [≥middle school]). Physical frailty was identified using the Short Performance Physical Battery (0–6 out of 15). The numbers of hospitalizations and ED visits in the previous two years were self-reported. In this sample, 12.63% had cognitive deficit alone, 5.95% had physical frailty alone, and 4.26% had both. Compared with participants having neither cognitive deficit nor physical frailty, those having physical frailty alone were 1.5 times as likely to have hospitalizations (Rate Ratio [RR] = 1.52 [1.07, 2.16], p = 0.02) and ED visits (RR = 1.52 [1.07, 2.15], p = 0.02). Having cognitive deficit alone was not significantly related to either outcome. However, having cognitive deficit with existing physical frailty increased the likelihood of both hospitalization (RR = 2.00 [1.36, 2.96], p < 0.001) and ED visits (RR = 2.04 [1.37, 3.03], p < 0.001) to a greater extent than having physical frailty alone. Having cognitive deficit alone was not significantly related to the likelihood of hospitalizations or ED visits, however having cognitive deficit with existing physical frailty increased the likelihood of both outcomes to a greater degree than having physical frailty alone. This suggests cognitive deficit and physical frailty have synergistic effects on hospitalizations and ED visits. [ABSTRACT FROM AUTHOR]

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Study objective: We conducted a systematic literature review to identify and to update patient characteristics and contextual factors for adult frequent emergency department users (FEDUs) compared with non‐FEDU in an era where the US health care system underwent substantial changes. Methods: We searched MEDLINE, CINAHL, and EMBASE to identify all relevant articles after 2010 through July 2018 that describe FEDU. We included US studies on adult FEDU only and excluded studies on specific subgroups of FEDU. We included demographic, clinical, and health care utilization information, and two reviewers independently evaluated the studies using the Joanna Briggs Institute Critical Appraisal tool. Results: The 11 studies included in the review indicated that FEDU were 4% to 16% of total ED users but accounted for 14% to 47% of ED visits, with six to nine visits per year on average. The majority of FEDU were young or middle‐aged adults, females, of low socioeconomic status and high school or less education, with public insurance, multiple primary care provider visits, and chronic conditions. Fair or poor self‐perceived health status, unemployment, unmet needs from primary care providers (PCPs), mental health, and substance abuse were predictors of FEDU. Conclusion: FEDUs are disproportionally sicker and are also heavy users of non‐ED health care service providers. The limited data for non‐ED health services use in facility‐specific studies of FEDU may contribute to findings in such studies that complex and unmet needs from PCPs contributed to ED visits. This suggests the need for more comprehensive data analysis beyond a few sites that can inform systemic management approaches. [ABSTRACT FROM AUTHOR]

Objective: People with serious mental illness have reduced life expectancy, in large part due to reduced access to medical services and underutilization of preventive health services. This is a cross-sectional study that compared preventive services use in an integrated behavioral health primary care clinic (IBHPC) with two existing community mental health programs. Methods: Participants completed questionnaires about preventive health services use that contained 33 questions about demographic clinical information, and use of preventive health services, from October 2010 to December 2012. Services examined included mammogram, Papanicolaou Test, prostate specific antigen, digital rectal exam, fecal occult blood test, and flexible sigmoidoscopy or colonoscopy; blood pressure, height and weight, cholesterol, and blood sugar for diabetes; and influenza immunization, Hepatitis C Virus (HCV), and Human Immunodeficiency Virus (HIV) antibodies. A health service utilization score was developed and used as primary outcome for data analyses. Results: In the multivariate analyses female gender (p < 0.05), race/ethnicity (p = 0.01 for Asian, p = 0.04 for Hispanic/Latino, both compared to White), program type (p < 0.001), and having a primary care provider (p < 0.001) were significant predictors of higher services use. IBHPC was associated with higher overall service utilization compared to one community mental health program (p < 0.001) but was similar when compared another (p = 0.34). There was high variability in use of individual services among the clinical programs. Conclusion: More studies are needed to examine the effectiveness of integrated care in improving use of health screening services. Characteristics of the clinic in relation to use of preventive services deserve further study. [ABSTRACT FROM AUTHOR]

Having a pet has been claimed to have beneficial health effects, but methodologically sound empirical studies are scarce. Small sample sizes and a lack of information about the specific type of pets involved make it difficult to draw unambiguous conclusions. We aimed to shed light on the relationship between pet ownership and several health related outcomes by conducting a survey among a large national sample of community-dwelling elderly in The Netherlands, all suffering from chronic illness or disability. We distinguished several types of pets, focusing on cats and dogs. Pet ownership was associated with a greater chance of using ambulatory mental healthcare, whereas it was not related to self-reported general or mental health. Considering possible mechanisms, associations between pet ownership and the frequency of social contacts or feelings of loneliness were not found. Having a dog increased the likelihood of being healthy active, whereas having a cat showed the opposite. Future research should pay more attention to pet related characteristics, in addition to characteristics of the human sample. [ABSTRACT FROM AUTHOR]