Identification of Functional, Social, and Health Needs of Older Residents in Nonurban Settings: A Community Risk Assessment.

Objectives: We examined functional, social, and health needs and service delivery gaps among a geographically expansive and economically diverse population of older adults to identify service priorities. Methods: We conducted analyses based on 1280 respondents aged 60 years and older surveyed for an 8-county needs assessment. Results: We identified three distinct risk profiles using two-step cluster analysis. ANOVA and chi-square analyses revealed significant differences between risk profiles on a range of health and social service needs. Discussion: Identifying high-risk residents can support community providers' efforts to help older adults age in place. Community-based organizations are well-positioned to respond early to social determinants of health needs. Targeting services and supports that reduce risk, extend independence, and prevent avoidable adverse healthcare situations to improve health and achieve health equity among historically underserved and hard-to-reach populations and prioritizing low-cost community interventions can reduce the need for high-cost interventions (e.g., emergency care and hospitalizations).

Using a randomized controlled trial to test whether modifications to contingency management improve outcomes for heavy drinkers with serious mental illness.

BACKGROUND: In contingency management (CM), individuals receive rewards for alcohol abstinence. CM is associated with reduced alcohol use in adults with co-occurring serious mental illnesses (SMI). Pre-treatment urine ethyl glucuronide (uEtG) levels equivalent to daily heavy drinking (uEtG >349ng/mL) are associated with poor response to CM. Modifications to CM are needed to improve outcomes for non-responders. AIMS: To determine if pre-treatment heavy drinkers, defined by uEtG, with SMI achieve higher levels of alcohol abstinence when they receive an increased magnitude of reinforcement for abstinence (High-Magnitude CM) or reinforcers for reduced drinking, prior to receiving reinforcers for abstinence (Shaping CM), relative to those who receive typical low-magnitude abstinence based CM (Usual CM). Additionally, variables in the Addictions Neuroclinical Assessment model will be examined as treatment response moderators. METHODS: Participants (N=400) will be recruited from two urban mental health organizations and complete a 4-week induction period where they will be reinforced for submitting samples for uEtG testing. Participants who attain a mean uEtG >349mg/mL will be randomized to receive either Usual CM, High-Magnitude CM, or Shaping CM for 16weeks. Differences in abstinence, assessed by uEtG, will be examined during treatment and during a 12-month follow-up. Measures of negative emotionality, alcohol reinforcer salience, and executive functioning will be gathered at study intake and used to predict treatment outcomes. DISCUSSION: This novel approach to CM will use an alcohol biomarker to identify those at risk for treatment non-response and determine if adaptations to CM might improve outcomes for this group.

Connecting Patients to Prescription Assistance Programs: Effects on Emergency Department and Hospital Utilization.

BACKGROUND: Manufacturer prescription assistance programs (PAPs) have been developed to provide medications at little or no cost to eligible patients. There are over 200 PAPs available from pharmaceutical companies, and each may have different eligibility requirements and assistance guidelines. A formalized community-based patient prescription coordinator can help patients navigate these programs by reviewing an applicant's financial information and medication requirements to identify which PAPs are most appropriate. Little is known, however, about whether providing such guidance is associated with a reduction in acute care utilization. OBJECTIVE: To evaluate changes in emergency department and hospital utilization among patients who received care coordination and financial assistance with prescribed medications. METHODS: This single-cohort interrupted time-series study included participants in eastern Washington state who enrolled in the Spokane Prescription Assistance Network (SPAN) program between March 1, 2009, and August 31, 2012. Referrals to the SPAN patient prescription coordinator were made by a social service agency or medical provider for patients who may have difficulty paying for prescribed medications. Initial patient contact occurred while the patient was still being treated in a clinic or hospital or through a direct visit to the coordinator's community-based office. Participants were contacted 6 months after the initial appointment and then annually thereafter to review current medications and health status. A review of electronic health records provided information on hospitalizations and emergency department visits in the 12 months before and after program entry. RESULTS: Among SPAN participants (n = 310), emergency department and hospital encounters declined from 0.38 per participant in the year before enrollment to 0.20 encounters in the year following program entry. A repeated-measures mixed-effects model indicated SPAN participation was associated with a 51% decline in the rate of emergency department and hospital utilization (incidence rate ratio [IRR] = 0.49; 95% CI = 0.31-0.77; P = 0.002). Observed effects differed by prescription class. Factor interactions revealed significant reductions in utilization for participants with prescribed pulmonary medications (IRR = 0.58; 95% CI = 0.37-0.92; P = 0.019). Assistance with mental health (psychotropic) medications was associated with increased incidence of utilization (IRR = 2.07; 95% CI = 1.32-3.24; P = 0.001). At the time of SPAN enrollment, 60% of participants had prescriptions for psychotropic medications. CONCLUSIONS: A formalized patient prescription coordinator can help patients access prescribed medications at low cost and remain compliant with treatment plans. In a study of a coordination pilot program, reductions in hospital admissions and emergency department visits were observed following program participation. DISCLOSURES: This study was not supported by any outside funding. The authors declare no conflicts of interest. Study design was created by Burley, McPherson, and Daratha. Burley Daratha, Selinger, and Armstrong collected the data, with interpretation performed by Burley, Daratha, and Tuttle, assisted by McPherson. The manuscript was written by Burley, Daratha, and Selinger, with assistance from White, and revised by Burley, White, and Selinger, with assistance from Daratha and Tuttle.

The effect of serious mental illness on the risk of rehospitalization among patients with diabetes.

BACKGROUND: Medical-surgical rehospitalizations within a month after discharge among patients with diabetes result in tremendous costs to the US health care system. OBJECTIVE: The study's aim was to examine whether co-morbid serious mental illness diagnoses (bipolar disorder, schizophrenia, or other psychotic disorders) among patients with diabetes are independently associated with medical-surgical rehospitalization within a month of discharge after an initial hospitalization. METHODS: This cohort study of all community hospitals in Washington state evaluated data from 82,060 adults discharged in the state of Washington with any International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis indicating diabetes mellitus between 2010 and 2011. Data on medical-surgical hospitalizations were obtained from the Washington State Comprehensive Hospital Abstract Reporting System. Co-morbid serious mental illness diagnoses were identified based on International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes indicating bipolar disorder, schizophrenia, or other psychotic disorders. Logistic regression analyses identified factors independently associated with rehospitalization within a month of discharge. Cox proportional hazard analyses estimated time to rehospitalization for the entire study period. RESULTS: After adjusting for demographics, medical co-morbidity, and characteristics of the index hospitalization, co-morbid serious mental illness diagnosis was independently associated with increased odds of rehospitalization within 1 month among patients with diabetes who had a medical-surgical hospitalization (odds ratio: 1.24, 95% confidence interval: 1.07, 1.44). This increased risk of rehospitalization persisted throughout the study period (up to 24 mo). CONCLUSIONS: Co-morbid serious mental illness in patients with diabetes is independently associated with greater risk of early medical-surgical rehospitalization. Future research is needed to define and specify targets for interventions at points of care transition for this vulnerable patient population.

Co-occurring mood disorders among hospitalized patients and risk for subsequent medical hospitalization.

OBJECTIVE: The objective was to determine if patients hospitalized with a primary medical diagnosis and any co-occurring serious mental illness (SMI) were more likely than patients without any co-occurring SMI diagnosis to experience a subsequent medical hospitalization. METHOD: This was a longitudinal cohort study of 925,705 adult persons (aged 18+ years). Patients hospitalized in Washington State from 2004 to 2008 were followed through 2009 (for an average of 43 months). RESULTS: Compared to patients hospitalized for medical conditions without co-occurring SMI, patients with co-occurring dysthymia, bipolar and major depressive disorders were at an elevated risk for long-term subsequent hospitalization. Patients in the combined co-occurring mood disorders cohort were more likely (hazard ratio=1.13; 99% confidence interval=1.10-1.16; P<.001) than patients in the reference cohort to experience a subsequent medical hospitalization. A significant interaction between substance and mood disorders that increased risk for subsequent hospitalization was also observed. CONCLUSION: Hospitalized patients with co-occurring mood disorders are at high risk for repeat hospitalization for a medical reason. This high-risk population, including those with substance abuse, should be a focus of research efforts to identify and address ambulatory-care-sensitive conditions amenable to strategies that decrease complications and illness leading to subsequent hospitalizations.