Associations between Social Adversities and Chronic Medical Conditions in a Statewide Sample of Individuals in Treatment for Mental Illnesses.

Individuals with mental illnesses experience disproportionately high rates of social adversities, chronic medical conditions, and early mortality. We analyzed a large, statewide dataset to explore associations between four social adversities and the presence of one or more, and then two or more, chronic medical conditions among individuals in treatment for mental illnesses in New York State. In Poisson regression models adjusting for multiple covariates (e.g., gender, age, smoking status, alcohol use), the presence of one or more adversities was associated with the presence of at least one medical condition (prevalence ratio (PR) = 1.21) or two or more medical conditions (PR = 1.46), and two or more adversities was associated with at least one medical condition (PR = 1.25) or two or more medical conditions (PR = 1.52) (all significant at p < .0001). Greater attention to primary, secondary, and tertiary prevention of chronic medical conditions is needed in mental health treatment settings, especially among those experiencing social adversities.

Associations Between Cumulative Social Adversities and Substance Use Comorbidity in a Statewide Sample of Individuals in Treatment for Mental Illnesses.

ABSTRACT: We sought to investigate associations of cumulative social adversities in four areas (low education, unemployment, homelessness, and criminal/legal involvement) with presence of comorbid alcohol and drug use disorders among individuals in treatment for mental illnesses. Using data from 103,416 adults in mental health treatment, generalized estimating equation modified Poisson models were used to estimate increased risk of having comorbid substance use disorders based on individual and/or cumulative number of social adversities present. Controlling for effects of sex, race/ethnicity, and region (New York City vs . the rest of the State), as well as for the other social adversities, each of four social adversities was associated with presence of substance use comorbidity. Relative to having none of the social adversities, the presence of one, two, three, or four was associated with an increased prevalence ratio (PR) of having substance use comorbidity: 1.44, 2.10, 2.66, and 2.92; all p 's < 0.0001. PRs were greater among female patients, and among Hispanics and those classified as other or multiracial compared with non-Hispanic Whites or non-Hispanic Blacks. Findings indicate substantial associations between four social adversities and presence of substance use comorbidity; the strength of association with the four social adversities is cumulative.

Retrospective State Medicaid Claims Analysis of Children and Adults With Obsessive-Compulsive Disorder.

OBJECTIVE: With a lifetime U.S. prevalence of 2.3%, obsessive-compulsive disorder (OCD) is a chronic condition often producing reduced quality of life and disability when left untreated. Little is known about the prevalence or treatment of diagnosed OCD in public behavioral health systems. METHODS: Using a claims analysis of 2019 New York State Medicaid data (N=2,245,084 children; N=4,274,100 adults), the authors investigated the prevalence and characteristics of children and adults with OCD. The authors also examined whether these individuals received treatment with medication or psychotherapy. RESULTS: The prevalence of OCD was 0.2% among children and 0.3% among adults. Fewer than half of children (40.0%) and adults (37.5%) received U.S. Food and Drug Administration-approved medications (with or without psychotherapy); another 19.4% of children and 11.0% of adults received 45- or 60-minute psychotherapy alone. CONCLUSIONS: These data demonstrate the need for public behavioral health systems to increase their capacity to identify and treat OCD.

Community, Hospital, and Patient Factors Contributing to Ethnoracial Disparities in Follow-Up After Psychiatric Hospitalization.

OBJECTIVE: This study used an ecosocial perspective to examine ethnoracial disparities in timely outpatient follow-up care after psychiatric hospitalization in a cohort of Medicaid recipients. METHODS: This retrospective analysis used 2012-2013 New York State Medicaid claims data for 17,488 patients ages <65 years who were treated in hospital psychiatric units and discharged to the community. Claims data were linked to other administrative data sets capturing key social conditions and determinants of mental health for non-Latinx White (White hereafter), non-Latinx Black (Black), Latinx, non-Latinx Asian/Pacific Islander (Asian/Pacific Islander), non-Latinx American Indian or Native Alaskan (American Indian or Native Alaskan), and other ethnoracial groups. Regression models were used to estimate the variations in disparities in timely follow-up care that were attributable to community, organization (i.e., hospital), and individual patient characteristics. RESULTS: Overall, 60.1% of patients attended an outpatient mental health visit within 30 days of discharge. Compared with the rate for White patients, the attendance rates were 9.5 percentage points lower for Black patients and 7.8 percentage points higher for Asian/Pacific Islander patients. No significant difference in attendance rates was found between Latinx and White patients. Community factors, specifically urban versus rural classification and county poverty status, accounted for the greatest variation in timely follow-up care in all comparisons. CONCLUSIONS: Efforts to increase connection to outpatient mental health follow-up care after psychiatric hospitalization should incorporate cultural and structural competencies to address social conditions and determinants of mental health that underly ethnoracial disparities.

Racial and Ethnic Disparities in Health Care Access and Utilization among Medicaid Managed Care Beneficiaries.

This quasi-experimental study examined the impact of a statewide integrated special needs program Health and Recovery Plan (HARP) for individuals with serious mental illness and identified racial and ethnic disparities in access to Medicaid services. Generalized estimating equation negative binomial models were used to estimate changes in service use, difference-in-differences, and difference-in-difference-in-differences in the pre- to post-HARP periods. Implementation of the special needs plan contributed to reductions in racial/ethnic disparities in access and utilization. Notable among those enrolled in the special needs plan was the declining Black-White disparities in emergency room (ER) visits and inpatient stays, but the disparity in non-behavioral health clinic visits remains. Also, the decline of Hispanic-White disparities in ER, inpatient, and clinic use was more evident for HARP-enrolled patients. Health equity policies are needed in the delivery of care to linguistically and culturally disadvantaged Medicaid beneficiaries.

Prediction Tool for Individual Outcome Trajectories Across the Next Year in First-Episode Psychosis in Coordinated Specialty Care.

Importance: In coordinated specialty care (CSC) settings for people with a first episode of psychosis, the development of reliable, validated individual-level prediction tools for key outcomes may be informative for shared clinician and client decision-making. Objective: To develop an individual-level prediction tool using machine-learning methods that predicts a trajectory of education/work status or psychiatric hospitalization outcomes over a client's next year of quarterly follow-up assessments. Additionally, to visualize these predictions in a way that is informative to clinicians and clients. Design, Setting, and Participants: Individual-level data were collected for all patients enrolled in the OnTrackNY program at enrollment and at quarterly follow-ups using standardized forms. The OnTrackNY program, a network of CSC sites in New York State, provides person-centered, recovery-oriented, and evidence-based psychosocial and pharmaceutical interventions to individuals aged 16 to 30 years with recent-onset (<2 years) nonaffective psychosis. Although data collection is ongoing, data for this study were collected from October 2013 to December 2018, and the time frame for analysis was July 2020 to May 2021. Data were separated into a training/cross-validation set to perform internally validated model development and a separate holdout test set (~20% of the sample) for external validation. Random probability forest models were developed to predict individual-level trajectories of outcomes. Exposures: Forty-three individual-level demographic and clinical features collected at enrollment in OnTrackNY, 25 of which were time-varying and updated at quarterly follow-up assessments, and 13 site-level demographic and economic census variables. Main Outcomes and Measures: Individual-level education and/or employment status and psychiatric hospitalization trajectories at quarterly follow-up periods across the first 2 years of CSC. Results: The total study sample consists of 1298 individuals aged 16 to 30 years and included 341 women (26.3%), 949 men (73.1%), and 8 (<1%) with another gender. Prediction models performed well for 1-year trajectories of education/work across all validation sets, with areas under the receiver operating characteristic curve (AUCs) ranging from 0.68 (95% CI, 0.63-0.74) to 0.88 (95% CI, 0.81-0.96). Predictive accuracy for psychiatric hospitalization 3 months ahead reached AUC above 0.70; moreover, predictions of future psychiatric hospitalizations at 6 months and beyond were consistently poor, with AUCs below 0.60. Given the good externally validated performance for predicting education/work, a prototype interactive visualization tool displaying individual-level education/work trajectories and related features was developed. Conclusions and Relevance: This study suggests that accurate prediction tools can be developed for outcomes in people with first-episode psychosis, which may help inform shared clinician/client decision-making. Future work should study the effectiveness of its deployment, including proper communication to inform shared clinician/client decision-making in the context of a learning health care system. At present, more work is needed to develop better performing prediction models for future psychiatric hospitalizations before any tool is recommended for this outcome.

Prevalence and Correlates of Four Social Determinants in a Statewide Survey of Licensed Mental Health Services.

OBJECTIVE: This analysis examined the distribution of four social determinants of health among recipients of state-licensed mental health services and analyzed relationships between determinants and individuals' clinical and demographic characteristics. METHODS: With data from the New York State Office of Mental Health 2017 Patient Characteristics Survey (N=103,416), prevalences of four social determinants (education, employment, housing, and criminal legal involvement) among mental health service recipients were described. Results were stratified to explore differences by diagnosis, gender, race and ethnicity, and region of residence. RESULTS: High proportions had low education (20.9%), unemployment (79.1%), homelessness (8.2%), and criminal legal involvement (12.2%), surpassing statistics for the general state population. Prevalences of alcohol-related, drug-related, and psychotic disorders were higher among these groups than were prevalences of other diagnoses. People of color and male recipients were overrepresented among those with adverse social determinants. CONCLUSIONS: Results highlight the magnitude of social adversity among those receiving mental health services, as well as potential inequities.

Patient-, Hospital-, and System-Level Factors Associated With 30-Day Readmission After a Psychiatric Hospitalization.

ABSTRACT: Readmission after inpatient care for a psychiatric condition is associated with a range of adverse events including suicide and all-cause mortality. This study estimated 30-day readmission rates in a large cohort of inpatient psychiatric admissions in New York State and examined how these rates varied by patient, hospital, and service system characteristics. Data were obtained from Medicaid claims records, and clinician, hospital, and region data, for individuals with a diagnosis of any mental disorder admitted to psychiatric inpatient units in New York State from 2012 to 2013. Psychiatric readmission was defined as any unplanned inpatient stay with a mental health diagnosis with an admission date within 30 days of being discharged. Unadjusted and adjusted odds ratios of being readmitted within 30 days were estimated using logistic regression analyses. Over 15% of individuals discharged from inpatient units between 2012 and 2013 were readmitted within 30 days. Patients who were readmitted were more likely to be homeless, have a schizoaffective disorder or schizophrenia, and have medical comorbidity. Readmission rates varied in this cohort mainly because of individual-level characteristics. Homeless patients were at the highest risk of being readmitted after discharge.

Underdetection of pre-existing HIV/AIDS during psychiatric hospitalizations.

OBJECTIVES: People with severe mental illness are 10 times more likely to have HIV/ AIDS than the general population, yet little is known about the characteristics and frequency of recognition of pre-existing HIV/AIDS diagnoses among inpatients with severe mental illness. This study examines documentation rates of pre-existing HIV/ AIDS among inpatients within psychiatric hospitals in New York State. DESIGN: Retrospective cohort study to examine recognition of pre-existing HIV/AIDS among psychiatric inpatients. METHODS: Patient-level Medicaid claims records were linked with hospital and regional data for people admitted to psychiatric inpatient units in New York State. Presence of HIV/AIDS diagnoses prior to psychiatric hospitalization was coded for each inpatient (n = 14 602). Adjusted odds ratios of undocumented HIV/AIDS diagnoses at the time of discharge were calculated using logistic regression analyses. RESULTS: About 5.1% (741/14 602) of unique psychiatric inpatients had pre-existing HIV/AIDS diagnoses. Of these inpatients, 58.3% (432/741) were not coded as having HIV/AIDS upon discharge. Higher rates of missed detection were associated with younger age, non-Hispanic white race/ethnicity, shorter length of stay, more distal coding of an HIV/AIDS diagnosis, and fewer HIV/AIDS-related Medicaid claims in the past year. Hospitals with higher readmission rates also had higher rates of undetected HIV/AIDS diagnoses. CONCLUSION: Over half of inpatients previously diagnosed with HIV/AIDS did not have their HIV-positive status noted upon discharge from psychiatric hospitalization. This finding underscores how frequently clinically significant medical comorbidities fail to be incorporated into psychiatric treatment and treatment planning. Inpatient clinicians are missing important opportunities to optimize HIV/AIDS treatment and reduce morbidity and mortality.

The Effectiveness of Discharge Planning for Psychiatric Inpatients With Varying Levels of Preadmission Engagement in Care.

OBJECTIVE: This study examined the extent to which prehospital treatment engagement is related to posthospital follow-up treatment among psychiatric inpatients and whether the effects of inpatient discharge planning on posthospital follow-up treatment vary by level of pretreatment engagement in care. METHODS: New York State Medicaid and other administrative databases were used to examine service use by 18,793 adult patients discharged to the community after inpatient psychiatric care in 2012-2013. Outcomes included attending an outpatient mental health service within 7 days and within 30 days after discharge. The sample was stratified by whether patients had high, partial, low, or no engagement in outpatient psychiatric services in the 6 months before admission. RESULTS: Scheduling an outpatient appointment as part of the patient's discharge plan was significantly associated with attending outpatient psychiatric appointments, regardless of the patient's level of engagement in care before admission. The differences were most pronounced for patients who had not received any outpatient care in the 6 months before admission. When an appointment was scheduled, these patients were three times more likely to follow up with care within 7 days and more than twice as likely to follow up within 30 days than were patients without a scheduled appointment. CONCLUSIONS: The likelihood of psychiatric inpatients following up with outpatient psychiatric care was directly related to their level of outpatient care engagement before hospital admission. Even among those who had not been engaged in outpatient care, inpatient discharge planning was associated with a greater likelihood of receiving follow-up outpatient care.

Health Disparities Between Older Lesbian, Gay, and Bisexual Adults and Heterosexual Adults in the Public Mental Health System.

OBJECTIVE: In this study, the authors examined disparities in general health, substance use, mental health conditions, and acute service use between lesbian, gay, and bisexual (LGB) adults (ages ≥50 years) and a matched sample of heterosexual adults. METHODS: Individuals whose electronic health record indicated their sexual orientation as gay, lesbian, or bisexual from the 2015 New York State Office of Mental Health Patient Characteristics Survey were matched with heterosexual individuals, resulting in N=1,659 individuals in each of the two groups. Differences in health status indicators and acute service use were compared in generalized estimating equation models. RESULTS: Compared with matched heterosexual men, older gay and bisexual men had more chronic general medical conditions and mental health issues; they also had fewer inpatient stays related to substance use disorders. Older lesbian and bisexual women had higher rates of tobacco use, alcohol use, and substance use disorders than heterosexual women; moreover, they reported more inpatient stays and emergency department visits related to substance use disorders. CONCLUSIONS: This study provides evidence of health disparities among sexual minority older adults within a public mental health system. The results suggest that health disparities persist into older adulthood and that new health concerns emerge with the aging of the sexual minority population. Targeted prevention and intervention programs are needed to effectively engage older LGB adults into treatment for general medical and mental illnesses as well as substance use disorders.

Rates of Inpatient and Emergency Room Use Before and After Discharge Among Medicaid Enrollees in OnTrackNY.

OBJECTIVE: This study examined hospital and emergency room (ER) use among Medicaid enrollees before and after discharge from OnTrackNY, a coordinated specialty care program for recent-onset psychosis. METHODS: Medicaid claims data were linked to program data. Inpatient hospitalization, inpatient days, and ER visits were assessed in the 6 months prior to OnTrackNY enrollment and 6 months prior to and after discharge. The sample consisted of 138 participants with continuous Medicaid enrollment during the study. RESULTS: Inpatient visits significantly declined from the pre-OnTrackNY enrollment period to the predischarge period (ß=-1.23, standard error [SE]=0.22, p<0.001), did not significantly change in the first 6 months after discharge (ß=0.19, SE=0.26, p=0.48), and remained significantly lower than before OnTrackNY enrollment (ß=-1.05, SE=0.20, p<0.001). Similar patterns were observed for inpatient days and ER use. CONCLUSIONS: ER and hospital use declined during OnTrackNY participation and did not significantly change in the first 6 months after discharge.

Impact of the 1115 behavioral health Medicaid waiver on adult Medicaid beneficiaries in New York State.

OBJECTIVE: To evaluate the impact of the Health and Recovery Plan (HARP), a capitated special needs Medicaid managed care product that fully integrates physical and behavioral health delivery systems in New York State. DATA SOURCES: 2013-2019 claims and encounters data on continuously enrolled individuals from the New York State Medicaid data system. STUDY DESIGN: We used a difference-in-difference approach with inverse probability of exposure weights to compare service use outcomes in individuals enrolled in the HARP versus HARP eligible comparison group in two regions, New York City (NYC) pre- (2013-2015) versus post- (2016-2018) intervention periods, and rest of the state (ROS) pre- (2014-2016) versus post- (2017-2019) intervention periods. DATA COLLECTION/EXTRACTION METHODS: Not applicable. PRINCIPAL FINDINGS: HARPs were associated with a relative decrease in all-cause (RR = 0.78, 95% CI 0.68-0.90), behavioral health-related (RR = 0.76, 95% CI 0.60-0.96), and nonbehavioral-related (RR = 0.87, 95% CI 0.78-0.97) stays in the NYC region. In the ROS region, HARPs were associated with a relative decrease in all-cause (RR = 0.87, 95% CI 0.80-0.94) and behavioral health-related (RR = 0.80, 95% CI 0.70-0.91) stays. Regarding outpatient visits, the HARPs benefit package were associated with a relative increase in behavioral health (RR = 1.21, 95% CI 1.13-1.28) and nonbehavioral health (RR = 1.08, 95% CI 1.01-1.15) clinic visits in the NYC region. In the ROS region, the HARPs were associated with relative increases in behavioral health (RR = 1.47, 95% CI 1.32-1.64) and nonbehavioral health (RR = 1.17, 95% CI 1.11-1.25) clinic visits. CONCLUSIONS: Compared to patients with similar clinical needs, HARPs were associated with a relative increase in services used and led to a better engagement in the HARPs group regardless of the overall decline in services used pre- to postperiod.

Factors Associated With Discharge Planning Practices for Patients Receiving Inpatient Psychiatric Care.

OBJECTIVE: This study examined associations of patient, hospital, and service system factors with provision of discharge planning to individuals treated in hospital psychiatric units. METHODS: This retrospective cohort analysis used 2012-2013 New York State Medicaid claims data of 18,185 patients ages <65 years who were treated in hospital psychiatric units and discharged to the community. The claims data were linked to data from managed behavioral health care organizations indicating whether inpatient staff scheduled a follow-up outpatient appointment with a mental health provider. Additional data regarding hospital and service system characteristics were obtained from the American Hospital Association Annual Survey, the Area Health Resource File, and other state administrative databases. Rates and adjusted odds ratios were assessed for the likelihood of inpatient staff scheduling a follow-up appointment. RESULTS: Inpatient staff scheduled outpatient appointments for 79.8% of discharges. The adjusted odds of not having an outpatient appointment scheduled as part of the patient's discharge plan were significantly associated with several factors, including being homeless on admission, having a diagnosis of a co-occurring substance use disorder, having high levels of medical comorbid conditions, and not being engaged in psychiatric outpatient services in the month prior to admission. CONCLUSIONS: Patient characteristics were more strongly associated with failure to receive discharge planning than were hospital and service system characteristics.

OnTrackNY's learning healthcare system.

Worldwide, early intervention services for young people with recent-onset psychosis have been associated with improvements in outcomes, including reductions in hospitalization, symptoms, and improvements in treatment engagement and work/school participation. States have received federal mental health block grant funding to implement team-based, multi-element, evidence-based early intervention services, now called coordinated specialty care (CSC) in the USA. New York State's CSC program, OnTrackNY, has grown into a 23-site, statewide network, serving over 1800 individuals since its 2013 inception. A state-supported intermediary organization, OnTrackCentral, has overseen the growth of OnTrackNY. OnTrackNY has been committed to quality improvement since its inception. In 2019, OnTrackNY was awarded a regional hub within the National Institute of Mental Health-sponsored Early Psychosis Intervention Network (EPINET). The participation in the national EPINET initiative reframes and expands OnTrackNY's quality improvement activities. The national EPINET initiative aims to develop a learning healthcare system (LHS); OnTrackNY's participation will facilitate the development of infrastructure, including a systematic approach to facilitating stakeholder input and enhancing the data and informatics infrastructure to promote quality improvement. Additionally, this infrastructure will support practice-based research to improve care. The investment of the EPINET network to build regional and national LHSs will accelerate innovations to improve quality of care.

Effect of Scheduling a Post-Discharge Outpatient Mental Health Appointment on the Likelihood of Successful Transition From Hospital to Community-Based Care.

OBJECTIVE: This study examined a cohort of 15,520 inpatient psychiatric discharges to determine associations between scheduling an outpatient mental health appointment as part of discharge planning and attending outpatient care following discharge after control for patient, hospital, and system characteristics. METHODS: 2012-2013 New York State Medicaid and other administrative databases were used to examine patients who were aged under 65 years, admitted to an inpatient psychiatric unit, and discharged to the community. Outcomes included attending an outpatient mental health service within 7 and 30 days following inpatient discharge. Scheduling a mental health outpatient appointment as part of the discharge plan was the primary predictor variable, and potentially confounding covariates were addressed by adjusting for propensity scores estimating the likelihood of having an outpatient appointment scheduled. RESULTS: Among 15,520 discharged patients, 11,945 (77%) had an outpatient appointment scheduled with a mental health provider as part of their discharge planning. After adjustment for propensity scores, patients who had an outpatient appointment scheduled were significantly more likely to attend an outpatient mental health service within 7 (OR = 1.69; 95% CI, 1.48-1.94) and 30 days (OR = 1.65; 95% CI, 1.42-1.93) compared to patients who did not have an appointment scheduled. Even among those with a low propensity to have an appointment scheduled, scheduling an outpatient appointment was associated with attending outpatient services. CONCLUSIONS: Scheduling an outpatient mental health appointment is an effective and low-resource discharge planning practice that should be an important target for inpatient psychiatric clinical quality measurement and improvement.

Medical comorbid diagnoses among adult psychiatric inpatients.

OBJECTIVE: Shortened life expectancy of people with mental disorders has been attributed to medical comorbidities, yet these conditions remain under-recognized and under-treated. This study characterizes the medical demands placed on inpatient psychiatric units to help guide medical assessment and management practices in these settings. METHODS: Medicaid claims records and clinician data were linked with hospital and regional data for individuals with a principal diagnosis of any mental disorder admitted to psychiatric inpatient units in New York State from 2012 to 2013. A modified Elixhauser Comorbidity Index (ECI) score was calculated for each unique individual (n = 14,458). Adjusted odds ratios (AORs) of having a medical comorbidity were calculated using logistic regression analyses. RESULTS: 74.9% of psychiatric inpatients had at least one medical comorbidity, including 57.5% of people ages 18-24. Higher rates of medical comorbidity were associated with older age, female gender, non-schizophrenia diagnoses, and engagement in care prior to hospitalization. Patients with medical comorbidities had lower odds (AOR 0.54; 99% CI 0.35-0.83) of being treated in hospitals with 100 or more total beds compared to smaller hospitals. CONCLUSIONS: A high prevalence of common medical diagnoses among psychiatric inpatients underscores the importance of adequate detection and medical treatment of medical comorbidities in psychiatric inpatient settings.

Relationship Between Continuity of Care and Discharge Planning After Hospital Psychiatric Admission.

OBJECTIVE: This study examined whether communication between inpatient and outpatient mental health providers during patients' inpatient stays was associated with whether patients attended postdischarge appointments. METHODS: Psychiatric inpatient medical records of 189 Medicaid recipients at two hospitals were reviewed to document whether inpatient staff had communicated with current or prior outpatient providers. Medicaid claims provided demographic, clinical, and outpatient attendance data. Associations between provider communications and follow-up care for patients who had or had not received outpatient mental health care within the 30 days prior to admission were evaluated. RESULTS: Inpatient staff communicated with outpatient providers for 118 (62%) patients. For patients who had not received outpatient care within 30 days of admission, compared with those who had, communication was associated with increased odds of attending timely outpatient appointments (odds ratio=2.73, 95% confidence interval=1.09-6.84). CONCLUSIONS: Communication with outpatient providers may be especially important for patients who were not engaged in outpatient care prior to admission.

Health Disparities, Inpatient Stays, and Emergency Room Visits Among Lesbian, Gay, and Bisexual People: Evidence From a Mental Health System.

OBJECTIVE: This study examined differences in health outcomes and acute service use between lesbian, gay, and bisexual (LGB) individuals and a matched heterosexual control group. METHODS: Individuals ages 18 to 85 whose electronic health records indicated a sexual orientation as LGB and who were included in the 2015 New York State Office of Mental Health Patient Characteristics Survey (N=5,775) were matched with heterosexuals (N=5,775) by sex assigned at birth, age, race, Hispanic ethnicity, and county of residence and compared on health status indicators, conditions and behaviors, and acute service use. Generalized estimating equation models were used to estimate the odds and rates of acute service use. RESULTS: LGB individuals appeared to have more chronic general medical conditions and physical disabilities and tended to use fewer acute services compared with heterosexuals. Gay men and lesbians were significantly less likely than heterosexuals to have used a mental health-related inpatient service (adjusted odds ratio [AOR]=0.69, 95% confidence interval [CI]=0.57-0.85; and AOR=0.73, 95% CI=0.59-0.89 [respectively]) or emergency room (ER) service in the past 12 months (AOR=0.63, 95% CI=0.53-0.76; and AOR=0.79, 95% CI=0.66-0.94 [respectively]). Bisexual men and women were more likely than heterosexuals to have shorter substance use-related inpatient stays (rate ratio [RR]=0.65, 95% CI=0.47-0.90; and RR=0.66, 95% CI=0.51-0.86 [respectively]) and to have fewer substance use-related ER visits (RR=0.69, 95% CI=0.48-0.99; and RR=0.55, 95% CI=0.43-0.69 [respectively]). CONCLUSIONS: The health care system needs strategies in LGB-centered care, research, medical education, health policy, and evidence-based practices to engage sexual minority groups in mental health and general medical care.

Family Involvement in Psychiatric Hospitalizations: Associations With Discharge Planning and Prompt Follow-Up Care.

OBJECTIVE: Involving family in the care of inpatients with serious mental illness is known to be beneficial. This study examined frequencies of involvement by family in the care and discharge planning for 179 psychiatric inpatients. METHODS: Involvement by family in care and discharge planning was assessed from randomly selected medical records of inpatients with Medicaid and severe mental illness at two New York hospitals from 2012 to 2013. "Family" also included anyone close to the patient who provided support. Medicaid claims were reviewed for patient demographic and clinical characteristics and for postdischarge outpatient attendance data. Multiple regression models were used to test whether involvement by family was associated with comprehensive discharge planning (contacting outpatient providers, scheduling follow-up appointments, and forwarding a discharge summary to a provider) and initiation of outpatient treatment. RESULTS: Inpatient staff contacted a family member for 134 (75%) patients. Sixty-seven (37%) patients received comprehensive discharge planning, and 96 (53%) and 139 (78%) attended an outpatient appointment within 7 and 30 days of discharge, respectively. Inpatient staff contacting family, communicating about the patient's health and/or mental health, and communicating about the discharge plan were significantly associated with entry into follow-up care by 7 and 30 days postdischarge. Family phone calls and/or visits with patients, attendance at family therapy sessions, and communication with inpatient staff about services available to families were significantly associated with patients receiving comprehensive discharge planning. When analyses controlled for demographic and clinical factors, having any involvement between family members and inpatient staff was significantly associated with patients' attending an outpatient appointment by 7 days (odds ratio [OR]=2.79, 95% confidence interval [CI]=1.28-6.08) or 30 days (OR=3.07, 95% CI=1.29-7.32) after discharge. CONCLUSIONS: The association of family involvement with comprehensive discharge planning and prompt entry into outpatient care underscores the importance of family contact and communication with staff during inpatient hospitalizations.