Health profiles of older nursing home residents by suicidal ideation: A latent class analysis.

OBJECTIVES: Identify the health profiles of older nursing home residents with and without at-admission self-reported suicidal ideation (SI) and examine the association between the identified profiles and self-reported SI at 90 days. METHODS: Using the Minimum Data Set 3.0 and the ninth Patient Health Questionnaire-9 (PHQ-9) item, we identified 15,277 older residents with and 562,184 without self-reported SI at nursing home admission. Latent class analysis, using frailty, cognitive impairment, palliative care index, pain, and remaining PHQ-9 items as indicators, identified health profiles by at-admission SI and the BCH method estimated their association with SI at 90 days. RESULTS: Profiles identified for residents without at-admission SI were: (1) frail and depressedNoSI (prevalence: 33.9%); (2) frail and severe cognitive impairmentNoSI (38.1%); (3) pre-frailNoSI (28.0%). Residents in the frail and depressedNoSI group had greater odds [adjusted OR: 2.80; 95% Confidence Interval: 2.60-3.00] while those in the frail and severe cognitive impairmentNoSI group had lower odds [aOR: 0.79; 95% CI: 0.71-0.86] of 90-day SI than those in the pre-frailNoSI group. Profiles identified for residents with at-admission SI were: (1) frail and all depressive symptomsSI (22.8%); (2) frail and some depressive symptomsSI (32.2%); (3) frail and severe cognitive impairmentSI (22.9%); (4) pre-frailSI (22.0%). Compared to those in the pre-frailSI group, residents in the frail and all depressive symptomsSI group had greater odds of continuing reporting SI at 90 days [aOR: 1.22; 95% CI:1.09-1.35]. CONCLUSIONS: Findings indicated unique health profiles of nursing home residents at higher risk of new onset of or continued SI.

Trajectories of physical frailty and cognitive impairment in older adults in United States nursing homes.

BACKGROUND: U.S. nursing homes provide long-term care to over 1.2 million older adults, 60% of whom were physically frail and 68% had moderate or severe cognitive impairment. Limited research has examined the longitudinal experience of these two conditions in older nursing home residents. METHODS: This national longitudinal study included newly-admitted non-skilled nursing care older residents who had Minimum Data Set (MDS) 3.0 (2014-16) assessments at admission, 3 months, and 6 months (n = 266,001). Physical frailty was measured by FRAIL-NH and cognitive impairment by the Brief Interview for Mental Status. Separate sets of group-based trajectory models were fitted to identify the trajectories of physical frailty and trajectories of cognitive impairment, and to estimate the association between older residents' characteristics at admission with each set of trajectories. A dual trajectory model was used to quantify the association between the physical frailty trajectories and cognitive impairment trajectories. RESULTS: Over the course of the first six months post-admission, five physical frailty trajectories ["Consistently Frail" (prevalence: 53.0%), "Consistently Pre-frail" (29.0%), "Worsening Frailty" (7.6%), "Improving Frailty" (5.5%), and "Consistently Robust" (4.8%)] and three cognitive impairment trajectories ["Consistently Severe Cognitive Impairment" (35.5%), "Consistently Moderate Cognitive Impairment" (31.8%), "Consistently Intact/Mild Cognitive Impairment" (32.7%)] were identified. One in five older residents simultaneously followed the trajectories of "Consistently Frail" and "Consistently Severe Cognitive Impairment". Characteristics associated with higher odds of the "Improving Frailty", "Worsening Frailty", "Consistently Pre-frail" and "Consistently Frail" trajectories included greater at-admission cognitive impairment, age ≥ 85 years, admitted from acute hospitals, cardiovascular/metabolic diagnoses, neurological diagnoses, hip or other fractures, and presence of pain. Characteristics associated with higher odds of the "Consistently Moderate Cognitive Impairment" and "Consistently Severe Cognitive Impairment" included worse at-admission physical frailty, neurological diagnoses, hip fracture, and receipt of antipsychotics. CONCLUSIONS: Findings provided information regarding the trajectories of physical frailty, the trajectories of cognitive impairment, the association between the two sets of trajectories, and their association with residents' characteristics in older adults' first six months post-admission to U.S. nursing homes. Understanding the trajectory that the residents would most likely follow may provide information to develop a comprehensive care approach tailored to their specific healthcare goals.

Risk factors for monoclonal gammopathy of undetermined significance: a systematic review.

Monoclonal gammopathy of undetermined significance (MGUS), precursor of multiple myeloma, is an asymptomatic plasma cell disorder that overproduces serum monoclonal protein. Older age, male sex, black race, and family history of MGUS increase the risk of MGUS, yet other risk factors are known. We systematically reviewed observational epidemiological studies that examined sociodemographic, clinical, and behavioral risk factors for the development of MGUS. The protocol for this study was registered on the PROSPERO registry for systematic reviews. We identified epidemiological studies from PubMed and Scopus. Articles were limited to those written in English and published before February 2019. Five case-control and three cohort studies were eligible for data extraction. Studies evaluating factors associated with MGUS risk are limited, with conflicting conclusions regarding risk associated with obesity. Despite the limited research, a significant elevated risk for being diagnosed with MGUS was associated with several specific prior infections, inflammatory disorders, and smoking. The sparse existing literature suggests an increased risk of MGUS associated with several risk factors related to immune function. Further research is needed to explore the potential mechanisms underlying the development of MGUS and to confirm risk factors, both modifiable and non-modifiable.

Physical Frailty and Cognitive Impairment in Older Adults in United States Nursing Homes.

INTRODUCTION: In older US nursing home (NH) residents, there is limited research on the prevalence of physical frailty, its potential dynamic changes, and its association with cognitive impairment in older adults' first 6 months of NH stay. METHODS: Minimum Data Set (MDS) 3.0 is the national database on residents in US Medicare-/Medicaid-certified NHs. MDS 3.0 was used to identify older adults aged ≥65 years, newly admitted to NHs during January 1, 2014, and June 30, 2016, with life expectancy ≥6 months at admission and NH length of stay ≥6 months (N = 571,139). MDS 3.0 assessments at admission, 3 months, and 6 months were used. In each assessment, physical frailty was measured by FRAIL-NH (robust, prefrail, and frail) and cognitive impairment by Brief Interview for Mental Status and Cognitive Performance Scale (none/mild, moderate, and severe). Demographic characteristics and diagnosed conditions were measured at admission, while presence of pain and receipt of psychotropic medications were at each assessment. Distribution of physical frailty and its change over time by cognitive impairment were described. A nonproportional odds model was fitted with a generalized estimation equation to longitudinally examine the association between physical frailty and cognitive impairment, adjusting for demographic and clinical characteristics. RESULTS: Around 60% of older residents were physically frail in the first 6 months. Improvement and worsening across physical frailty levels were observed. Particularly, in those who were prefrail at admission, 23% improved to robust by 3 months. At admission, 3 months, and 6 months, over 37% of older residents had severe cognitive impairment and about 70% of those with cognitive impairment were physically frail. At admission, older residents with moderate cognitive impairment were 35% more likely (adjusted odds ratio [aOR]: 1.35, 95% confidence interval [CI]: 1.33-1.37) and those with severe impairment were 74% more likely (aOR: 1.74, 95% CI: 1.72-1.77) to be frail than prefrail/robust, compared to those with none/mild impairment. The association between the 2 conditions remained positive and consistently increased over time. DISCUSSION/CONCLUSION: Physical frailty was prevalent in NHs with potential to improve and was strongly associated with cognitive impairment. Physical frailty could be a modifiable target, and interventions may include efforts to address cognitive impairment.

Physical frailty and cognitive impairment in older nursing home residents: a latent class analysis.

BACKGROUND: Little is known about the heterogeneous clinical profile of physical frailty and its association with cognitive impairment in older U.S. nursing home (NH) residents. METHODS: Minimum Data Set 3.0 at admission was used to identify older adults newly-admitted to nursing homes with life expectancy ≥6 months and length of stay ≥100 days (n = 871,801). Latent class analysis was used to identify physical frailty subgroups, using FRAIL-NH items as indicators. The association between the identified physical frailty subgroups and cognitive impairment (measured by Brief Interview for Mental Status/Cognitive Performance Scale: none/mild; moderate; severe), adjusting for demographic and clinical characteristics, was estimated by multinomial logistic regression and presented in adjusted odds ratios (aOR) and 95% confidence intervals (CIs). RESULTS: In older nursing home residents at admission, three physical frailty subgroups were identified: "mild physical frailty" (prevalence: 7.6%), "moderate physical frailty" (44.5%) and "severe physical frailty" (47.9%). Those in "moderate physical frailty" or "severe physical frailty" had high probabilities of needing assistance in transferring between locations and inability to walk in a room. Residents in "severe physical frailty" also had greater probability of bowel incontinence. Compared to those with none/mild cognitive impairment, older residents with moderate or severe impairment had slightly higher odds of belonging to "moderate physical frailty" [aOR (95%CI)moderate cognitive impairment: 1.01 (0.99-1.03); aOR (95%CI)severe cognitive impairment: 1.03 (1.01-1.05)] and much higher odds to the "severe physical frailty" subgroup [aOR (95%CI)moderate cognitive impairment: 2.41 (2.35-2.47); aOR (95%CI)severe cognitive impairment: 5.74 (5.58-5.90)]. CONCLUSIONS: Findings indicate the heterogeneous presentations of physical frailty in older nursing home residents and additional evidence on the interrelationship between physical frailty and cognitive impairment.

Changes in depressive symptoms and cognitive impairment in older long-stay nursing home residents in the USA: a latent transition analysis.

OBJECTIVES: To longitudinally examine the latent statuses of depressive symptoms and their association with cognitive impairment in older U.S. nursing home (NH) residents. METHOD: Using Minimum Data Set 3.0, newly-admitted, long-stay, older NH residents with depression in 2014 were identified (n = 88,532). Depressive symptoms (Patient Health Questionnaire-9) and cognitive impairment (Brief Interview of Mental Status) were measured at admission and 90 days. Latent transition analysis was used to examine the prevalence of and the transition between latent statuses of depressive symptoms from admission to 90 days, and the association of cognitive impairment with the statuses at admission. RESULTS: Four latent statuses of depressive symptoms were identified: 'Multiple Symptoms' (prevalence at admission: 17.3%; 90 days: 13.6%), 'Depressed mood' (20.0%; 19.5%), 'Fatigue' (27.4%; 25.7%), and 'Minimal Symptoms' (35.3%; 41.2%). Most residents remained in the same status from admission to 90 days. Compared to residents who were cognitively intact, those with moderate impairment were more likely to be in 'Multiple Symptoms' and 'Fatigue' statuses; those with severe impairment had lower odds of belonging to 'Multiple Symptoms', 'Depressed Mood', and 'Fatigue' statuses. CONCLUSION: By addressing the longitudinal changes in the heterogeneous depressive symptoms and the role of cognitive impairment, findings have implications for depression management in older NH residents.

Depression symptoms and cognitive impairment in older nursing home residents in the USA: A latent class analysis.

OBJECTIVES: To identify subgroups of nursing home (NH) residents in the USA experiencing homogenous depression symptoms and evaluate if subgroups vary by cognitive impairment. METHODS: We identified 104 465 newly admitted, long-stay residents with depression diagnosis at NH admission in 2014 using the Minimum Data Set 3.0. The Patient Health Questionnaire-9 was used to measure depression symptoms and the Brief Interview of Mental Status for cognitive impairment (intact; moderately impaired; severely impaired). Latent class analysis (LCA) with logistic regression was used to: (a) construct the depression subgroups and (b) estimate adjusted odds ratios (aOR) and 95% confidence intervals (CI) of the associations between the subgroups and cognitive impairment level, adjusting for demographic and clinical characteristics. RESULTS: The best-fitted LCA model suggested four subgroups of depression: minimal symptoms (latent class prevalence: 42.4%), fatigue (32.0%), depressed mood (14.5%), and multiple symptoms (11.2%). Odds of subgroup membership varied by cognitive impairment. Compared to residents with intact cognition, those with moderate or severe cognitive impairment were less likely to belong to the fatigue subgroup [aOR(95% CI): moderate: 0.75 (0.71-0.80); severe: 0.26 (0.23-0.29)] and more likely to belong to the depressed mood subgroup [aOR (95% CI): moderate: 4.54 (3.55-5.81); severe: 6.41 (4.86-8.44)]. Residents with moderate cognitive impairment had increased odds [aOR (95% CI): 1.19 (1.12-1.27)] while those with severe impairment had reduced odds of being in the multiple symptoms subgroup [aOR (95% CI): 0.63 (0.58-0.68)]. CONCLUSIONS: Findings provide a basis for improving depression management with consideration of both subgroups of depression symptoms and levels of cognitive function.

Long-acting opioid initiation in US nursing homes.

PURPOSE: To estimate the proportion of residents newly initiating long-acting opioids in comparison to residents initiating short-acting opioids and examine variation in long-acting opioid initiation by region and resident characteristics. METHODS: This cross-sectional study included 182 735 long-stay nursing home residents in 13 881 US nursing homes who were Medicare beneficiaries during 2011 to 2013 and initiated a short-acting or long-acting opioid (excluding residents <50 years old, those with cancer, or receiving hospice care). Medicare Part D prescription claims were used to identify residents as newly initiating short-acting or long-acting opioids, defined as having a prescription claim for an opioid with no prior opioid prescriptions in the preceding 60 days. We estimated the overall proportion of initiators prescribed long-acting opioids. Regional variation was examined by mapping results by state and hospital referral regions. Logistic models were used to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs). RESULTS: Two percent of opioid initiators were prescribed long-acting opioids. State variation in long-acting opioid initiation ranged from 0.6% to 7.5% (5th-95th percentiles: 0.6-6.4%). Resident characteristics associated with increased long-acting opioid initiation included severe physical limitations (vs none/mild limitations; aOR: 2.13, 95% CI: 1.92-2.37) and pain (staff-assessed vs no pain; aOR: 1.59 95% CI: 1.40-1.80), whereas being non-White was inversely associated (non-Hispanic black vs non-Hispanic white; aOR: 0.70, 95% CI: 0.62-0.79). CONCLUSION: United States nursing home residents predominantly initiate short-acting opioids in accordance with Center for Disease Control and Prevention guidelines. Documented variation by geographic and resident characteristics suggests that improvements are possible.

Geographic Variation in the Initiation of Commonly Used Opioids and Dosage Strength in United States Nursing Homes.

OBJECTIVES: To examine and quantify geographic variation in the initiation of commonly used opioids and prescribed dosage strength among older US nursing home residents. METHODS: We merged 2011 Minimum Data Set 3.0 to Medicare claims and facility characteristics data to conduct a cross-sectional study among long-stay nursing home residents who initiated short-acting opioids commonly used in nursing homes (oxycodone, hydrocodone, or tramadol). We examined geographic variation in specific opioids initiated and potentially inappropriate doses (≥50 mg oral morphine equivalent/d) across hospital referral regions (HRRs). Multilevel logistic models quantified the proportional change in between-HRR variation and associations between commonly initiated opioids and inappropriate doses after adjusting for resident characteristics, facility characteristics, and state. RESULTS: Oxycodone (9.4%) was initiated less frequently than hydrocodone (56.2%) or tramadol (34.5%) but varied dramatically between HRRs (range, 0%-74.5%). In total, resident/facility characteristics and state of residence, respectively explained 84.1%, 58.2%, 59.1%, and 46.6% of the between-HRR variation for initiating oxycodone, hydrocodone, tramadol, and inappropriate doses. In all cases, state explained the largest proportion of between-HRR variation. Relative to hydrocodone, residents initiating oxycodone were more likely (adjusted odds ratio, 5.00; 95% confidence interval, 4.57-5.47) and those initiating tramadol were less likely (adjusted odds ratio, 0.28; 95% confidence interval, 0.25-0.31) to be prescribed potentially inappropriately high doses. CONCLUSIONS: We documented extensive geographic variation in the opioid and dose initiated for nursing home residents, with state explaining the largest proportion of the observed variation. Further work is needed to understand potential drivers of opioid prescribing patterns at the state level.

Association of religiosity and spirituality with quality of life in patients with cardiovascular disease: a systematic review.

PURPOSE: This review systematically identified and critically appraised the available literature that has examined the association between religiosity and/or spirituality (R/S) and quality of life (QOL) in patients with cardiovascular disease (CVD). METHODS: We searched several electronic online databases (PubMed, SCOPUS, PsycINFO, and CINAHL) from database inception until October 2017. Included articles were peer-reviewed, published in English, and quantitatively examined the association between R/S and QOL. We assessed the methodological quality of each included study. RESULTS: The 15 articles included were published between 2002 and 2017. Most studies were conducted in the US and enrolled patients with heart failure. Sixteen dimensions of R/S were assessed with a variety of instruments. QOL domains examined were global, health-related, and disease-specific QOL. Ten studies reported a significant positive association between R/S and QOL, with higher spiritual well-being, intrinsic religiousness, and frequency of church attendance positively related with mental and emotional well-being. Approximately half of the included studies reported negative or null associations. CONCLUSIONS: Our findings suggest that higher levels of R/S may be related to better QOL among patients with CVD, with varying associations depending on the R/S dimension and QOL domain assessed. Future longitudinal studies in large patient samples with different CVDs and designs are needed to better understand how R/S may influence QOL. More uniformity in assessing R/S would enhance the comparability of results across studies. Understanding the influence of R/S on QOL would promote a holistic approach in managing patients with CVD.

Postacute Care Setting, Facility Characteristics, and Poststroke Outcomes: A Systematic Review.

OBJECTIVES: To synthesize research comparing poststroke health outcomes between patients rehabilitated in skilled nursing facilities (SNFs) and those in inpatient rehabilitation facilities (IRFs) as well as to evaluate relations between facility characteristics and outcomes. DATA SOURCES: PubMed and CINAHL searches spanned January 1, 1998, to October 6, 2016, and encompassed MeSH and free-text keywords for stroke, IRF/SNF, and study outcomes. Searches were restricted to peer-reviewed research in humans published in English. STUDY SELECTION: Observational and experimental studies examining outcomes of adult patients with stroke rehabilitated in an IRF or SNF were eligible. Studies had to provide site of care comparisons and/or analyses incorporating facility-level characteristics and had to report ≥1 primary outcome (discharge setting, functional status, readmission, quality of life, all-cause mortality). Unpublished, single-center, descriptive, and non-US studies were excluded. Articles were reviewed by 1 author, and when uncertain, discussion with study coauthors achieved consensus. Fourteen titles (0.3%) were included. DATA EXTRACTION: The types of data, time period, size, design, and primary outcomes were extracted. We also extracted 2 secondary outcomes (length of IRF/SNF stay, cost) when reported by included studies. Effect measures, modeling approaches, methods for confounding adjustment, and potential confounders were extracted. Data were abstracted by 1 author, and the accuracy was verified by a second reviewer. DATA SYNTHESIS: Two studies evaluating community discharge, 1 study evaluating the predicted probability of readmission, and 3 studies evaluating all-cause mortality favored IRFs over SNFs. Functional status comparisons were inconsistent. No studies evaluated quality of life. Two studies confirmed increased costs in the IRF versus SNF setting. Although substantial facility variation was described, few studies characterized sources of variation. CONCLUSIONS: The few studies comparing poststroke outcomes indicated better outcomes (with higher costs) for patients in IRFs versus those in SNFs. Contemporary research on the role of the postacute care setting and its attributes in determining health outcomes should be prioritized to inform reimbursement system reform.

Depression and cognitive impairment among newly admitted nursing home residents in the USA.

OBJECTIVE: The objective of this study is to describe the prevalence of depression and cognitive impairment among newly admitted nursing home residents in the USA and to describe the treatment of depression by level of cognitive impairment. METHODS: We identified 1,088,619 newly admitted older residents between 2011 and 2013 with an active diagnosis of depression documented on the Minimum Data Set 3.0. The prevalence of receiving psychiatric treatment was estimated by cognitive impairment status and depression symptoms. Binary logistic regression using generalized estimating equations provided adjusted odds ratios and 95% confidence intervals for the association between level of cognitive impairment and receipt of psychiatric treatment, adjusted for clustering of residents within nursing homes and resident characteristics. RESULTS: Twenty-six percent of newly admitted residents had depression; 47% of these residents also had cognitive impairment. Of those who had staff assessments of depression, anhedonia, impaired concentration, psychomotor disturbances, and irritability were more commonly experienced by residents with cognitive impairment than residents without cognitive impairment. Forty-eight percent of all residents with depression did not receive any psychiatric treatment. Approximately one-fifth of residents received a combination of treatment. Residents with severe cognitive impairment were less likely than those with intact cognition to receive psychiatric treatment (adjusted odds ratio = 0.95; 95% confidence interval: 0.93-0.98). CONCLUSIONS: Many newly admitted residents with an active diagnosis of depression are untreated, potentially missing an important window to improve symptoms. The extent of comorbid cognitive impairment and depression and lack of treatment suggest opportunities for improved quality of care in this increasingly important healthcare setting. Copyright © 2017 John Wiley & Sons, Ltd.

Probabilistic bias analysis in pharmacoepidemiology and comparative effectiveness research: a systematic review.

PURPOSE: We systematically reviewed pharmacoepidemiologic and comparative effectiveness studies that use probabilistic bias analysis to quantify the effects of systematic error including confounding, misclassification, and selection bias on study results. METHODS: We found articles published between 2010 and October 2015 through a citation search using Web of Science and Google Scholar and a keyword search using PubMed and Scopus. Eligibility of studies was assessed by one reviewer. Three reviewers independently abstracted data from eligible studies. RESULTS: Fifteen studies used probabilistic bias analysis and were eligible for data abstraction-nine simulated an unmeasured confounder and six simulated misclassification. The majority of studies simulating an unmeasured confounder did not specify the range of plausible estimates for the bias parameters. Studies simulating misclassification were in general clearer when reporting the plausible distribution of bias parameters. Regardless of the bias simulated, the probability distributions assigned to bias parameters, number of simulated iterations, sensitivity analyses, and diagnostics were not discussed in the majority of studies. CONCLUSION: Despite the prevalence and concern of bias in pharmacoepidemiologic and comparative effectiveness studies, probabilistic bias analysis to quantitatively model the effect of bias was not widely used. The quality of reporting and use of this technique varied and was often unclear. Further discussion and dissemination of the technique are warranted. Copyright © 2016 John Wiley & Sons, Ltd.

Changes in depression subtypes for women during treatment with citalopram: a latent transition analysis.

UNLABELLED: The aim of this study was to characterize latent subtypes of major depression and changes in these subtypes among women receiving citalopram in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial. Latent transition analysis was applied to data from 755 women who completed baseline and week 12 study visits in level 1 of STAR*D. Items from the self-report version of the Quick Inventory of Depressive Symptomatology were used as indicators of latent depression subtype. Four subtypes were identified at baseline and week 12. The baseline subtypes were Mild (21 %), Moderate (30 %), Severe with Increased Appetite (16 %), and Severe with Decreased Appetite (34 %). The subtypes at week 12 were Symptom Resolution (65 %), Mild (23 %), Moderate (9 %), and Severe with Psychomotor Disturbances (3 %). Women in the Moderate subtype at baseline had the greatest chance of moving to Symptom Resolution (87 %). Women in the Severe with Decreased Appetite subtype had the lowest chance of transitioning to Symptom Resolution (46 %). Depression severity and appetite distinguished depression subtypes for women before treatment with citalopram. Depression severity and psychomotor disturbances characterized the subtypes after treatment. This work highlights the need to consider how depression treatment changes different symptoms instead of relying exclusively on summary rating scores. CLINICAL TRIAL REGISTRATION: www.clinicaltrials.gov , NCT00021528.

Quality of Nursing Homes Admitting Working-Age Adults With Serious Mental Illness.

OBJECTIVE: This cross-sectional study examined the association between nursing home quality and admission of working-age persons (ages 22-64 years) with serious mental illness. METHODS: The study used 2015 national Minimum Data Set 3.0 and Nursing Home Compare (NHC) data. A logistic mixed-effects model estimated the likelihood (adjusted odds ratios [AORs] and 95% confidence intervals [CIs]) of a working-age nursing home resident having serious mental illness, by NHC health inspection quality rating. The variance partition coefficient (VPC) was calculated to quantify the variation in serious mental illness attributable to nursing home characteristics. Measures included serious mental illness (i.e., schizophrenia, bipolar disorder, and other psychotic disorders), health inspection quality rating (ranging from one star, below average, to five stars, above average), and other sociodemographic and clinical covariates. RESULTS: Of the 343,783 working-age adults newly admitted to a nursing home in 2015 (N=14,307 facilities), 15.5% had active serious mental illness. The odds of a working-age resident having serious mental illness was lowest among nursing homes of above-average quality, compared with nursing homes of below-average quality (five-star vs. one-star facility, AOR=0.78, 95% CI=0.73-0.84). The calculated VPC from the full model was 0.11. CONCLUSIONS: These findings indicate an association between below-average nursing homes and admission of working-age persons with serious mental illness, suggesting that persons with serious mental illness may experience inequitable access to nursing homes of above-average quality. Access to alternatives to care, integration of mental health services in the community, and improving mental health care in nursing homes may help address this disparity.

Characteristics of Working-Age Adults With Schizophrenia Newly Admitted to Nursing Homes.

OBJECTIVES: Persons aged <65 years account for a considerable proportion of US nursing home residents with schizophrenia. Because they are often excluded from psychiatric and long-term care studies, a contemporary understanding of the characteristics and management of working-age adults (22-64 years old) with schizophrenia living in nursing homes is lacking. This study describes characteristics of working-age adults with schizophrenia admitted to US nursing homes in 2015 and examines variations in these characteristics by age and admission location. Factors associated with length of stay and discharge destination were also explored. DESIGN: This is a cross-sectional study using the Minimum Data Set 3.0 merged to Nursing Home Compare. SETTING AND PARTICIPANTS: This study examines working-age (22-64 years) adults with schizophrenia at admission to a nursing home. METHODS: Descriptive statistics of resident characteristics (sociodemographic, clinical comorbidities, functional status, and treatments) and facility characteristics (ownership, geography, size, and star ratings) were examined overall, stratified by age and by admission location. Generalized estimating equation models were used to explore the associations of age, discharge to the community, and length of stay with relevant resident and facility characteristics. Coefficient estimates, adjusted odds ratios, and 95% CIs are presented. RESULTS: Overall, many of the 28,330 working-age adults with schizophrenia had hypertension, diabetes, and obesity. Those in older age subcategories tended to have physical functional dependencies, cognitive impairments, and clinical comorbidities. Those in younger age subcategories tended to exhibit higher risk of psychiatric symptoms. CONCLUSIONS AND IMPLICATIONS: Nursing home admission is likely inappropriate for many nursing home residents with schizophrenia aged <65 years, especially those in younger age categories. Future psychiatric and long-term care research should include these residents to better understand the role of nursing homes in their care and should explore facility-level characteristics that may impact quality of care.

Prevalence of Bipolar Disorder in Perinatal Women: A Systematic Review and Meta-Analysis.

Objective: To estimate overall prevalence of bipolar disorder (BD) and the prevalence and timing of bipolar-spectrum mood episodes in perinatal women.Data Sources: Databases (PubMed, Scopus, PsycINFO, CINAHL, Cochrane, ClincalTrials.gov) were searched from inception to March 2020.Study Selection: Included studies were original research in English that had (1) populations of perinatal participants (pregnant or within 12 months postpartum), aged ≥ 18 years, and (2) a screening/diagnostic tool for BD. Search terms described the population (eg, perinatal), illness (eg, bipolar disorder), and detection (eg, screen, identify).Data Extraction: Study design data, rates, and timing of positive screens/diagnoses and mood episodes were extracted by 3 independent reviewers. Pooled prevalences were estimated using random-effects meta-analyses.Results: Twenty-two articles were included in qualitative review and 12 in the meta-analysis. In women with no known psychiatric illness preceding the perinatal period, pooled prevalence of BD was 2.6% (95% CI, 1.2%-4.5%) and prevalence of bipolar-spectrum mood episodes (including depressed, hypomanic/manic, mixed) during pregnancy and the postpartum period was 20.1% (95% CI, 16.0%-24.5%). In women with a prior BD diagnosis, 54.9% (95% CI, 39.2%-70.2%) were found to have at least one bipolar-spectrum mood episode occurrence in the perinatal period.Conclusions: Our review suggests that the perinatal period is associated with high rates of bipolar-spectrum mood episodes and that pregnant and postpartum women represent a special risk population. This review may help to inform clinical care recommendations, thus helping to identify those who may have.

Risk factors associated with suicidal ideation in newly admitted working-age nursing home residents.

INTRODUCTION: Suicide is a leading cause of mortality in the United States and recent initiatives have sought to increase monitoring of suicide risk within healthcare systems. Working-age adults (22-64 years) admitted to nursing homes may be at risk for suicidal ideation, yet little is known about this population. METHODS: The national nursing home database, Minimum Dataset 3.0, was used to identify 323,436 working-age adults newly admitted to a nursing home in 2015. This cross-sectional study sought to describe sociodemographic and clinical characteristics, examine behavioral health treatment received, and determine resident characteristics associated with suicidal ideation at nursing home admission using logistic regression and reports adjusted odds ratios (aOR). RESULTS: Suicidal ideation was present among 1.27% of newly admitted working-age residents. Almost 25% of those with suicidal ideation had no psychiatric diagnosis. Factors associated with increased odds of suicidal ideation included younger age (aOR 1.90), admission from the community (aOR 1.92) or a psychiatric hospital (aOR 2.38), cognitive impairments (aOR 1.46), pain (aOR 1.40), rejection of care (aOR 1.91), and psychiatric comorbidity (aOR depression: 1.91, anxiety disorder: 1.11, bipolar disorder: 1.62, schizophrenia: 1.32, post-traumatic stress disorder: 1.17). LIMITATIONS: Due to the cross-sectional nature of this study, no causal inferences about suicidal ideation and the explored covariates can be made. The Minimum Dataset 3.0 has only one measure of suicidal ideation the Patient Health Questionnaire. CONCLUSION: Factors other than psychiatric diagnosis may be important in identifying newly admitted working-age nursing home residents who require on-going suicide screening and specialized psychiatric care.

Perspectives on barriers and facilitators to mental health support after a traumatic birth among a sample of primarily White and privately insured patients.

OBJECTIVE: To elicit the perspectives of individuals with a traumatic birth experience on barriers and facilitators to receiving mental health support in the postpartum period. METHODS: Individuals who experienced a traumatic birth within the last three years (n = 32) completed semi-structured phone interviews about their birth and postpartum experience. The Post-traumatic Stress Disorder Checklist for DSM-V (PCL-5), Patient Health Questionnaire (PHQ-8), and Generalized Anxiety Disorder scale (GAD-7) were administered. Qualitative data was analyzed using a modified grounded theory by three independent coders. RESULTS: Among participants, 34.4% screened positive for PTSD, 18.8% for depression, and 34.4% for anxiety. Participants described multi-level barriers that prevented clinicians from recognizing and supporting patients' postpartum mental health needs; those involved lack of communication, education, and resources. Recommendations from participants included that 1) obstetric professionals should acknowledge birth-related trauma experienced by any individual, 2) providers of multiple disciplines need to be integrated into postpartum care, and 3) mental health support may be needed before the ambulatory postpartum visit. CONCLUSIONS: There are multi-level barriers towards detecting and responding to individuals' mental health needs after a traumatic birth. Obstetric professionals need to use a trauma-informed approach and proactively assess mental health throughout the postpartum period.

Racial Segregation Across U.S. Nursing Homes: A Systematic Review of Measurement and Outcomes.

BACKGROUND AND OBJECTIVES: Nursing homes remain subjected to institutional racial segregation in the United States. However, a standardized approach to measure segregation in nursing homes does not appear to be established. A systematic review was conducted to identify all formal measurement approaches to evaluate racial segregation among nursing home facilities, and to then identify the association between segregation and quality of care in this context. RESEARCH DESIGN AND METHODS: PubMed, Scopus, and Web of Science databases were searched (January 2018) for publications relating to nursing home segregation. Following the PRISMA guidelines, studies were included that formally measured racial segregation of nursing homes residents across facilities with regional-level data. RESULTS: Eight studies met the inclusion criteria. Formal segregation measures included the Dissimilarity Index, Disparities Quality Index, Modified Thiel's Entropy Index, Gini coefficient, and adapted models. The most common data sources were the Minimum Data Set (MDS; resident-level), the Certification and Survey Provider Enhanced Reporting data (CASPER; facility-level), and the Area Resource File/ U.S. Census Data (regional-level). Most studies showed evidence of racial segregation among U.S. nursing home facilities and documented a negative impact of segregation on racial minorities and facility-level quality outcomes. DISCUSSION AND IMPLICATIONS: The measurement of racial segregation among nursing homes is heterogeneous. While there are limitations to each methodology, this review can be used as a reference when trying to determine the best approach to measure racial segregation in future studies. Moreover, racial segregation among nursing homes remains a problem and should be further evaluated.