Implementing peer recovery coaching and improving outcomes for substance use disorders in underserved communities.

INTRODUCTION: The Peer Recovery Expansion Project (PREP) was designed to expand outreach and deliver enhanced treatment services via peer-recovery coaches for individuals with substance use disorder (SUD) and limited access to healthcare. METHODS: PREP was implemented in low-socioeconomic areas with historic challenges to accessing SUD treatment. Services were provided to 153 clients through tailored cultural responsiveness, use of peer-based recovery coaching, and development of a Recovery Support Network. Outcome data were collected using the Government Performance and Reporting Act tool at intake and at 6-month follow-up for coaches and clients. RESULTS: The vast majority of peer-recovery coaches were satisfied with the overall quality of the training and their training experience (96.8%). Around 95% agreed that the training enhanced their skills in the topic area and 93% agreed that the training was relevant to substance use disorder treatment at the 6-month post training survey. Majority of clients were from low-income, minority demographics that had a high prevalence history of incarceration, homelessness, and inconsistent employment. At 6-month follow-up, they reported a 22% increase in stable housing and a 25% increase in full-time/part-time employment/training program enrollment. They also demonstrated a significant decline in reported depression, anxiety, and prescribed medication use at 6-month follow-up when compared to baseline. CONCLUSIONS: Clients enrolled in a tailored evidence based peer-led program decreased their psychiatric symptoms and increased their housing stability and employment. Study outcomes support the use of an integrated peer-led support for increasing engagement in care for adults experiencing substance use disorders.

Estimating the obstetric co-morbidity burden using administrative data: The impact of the pregnancy-related assessment window.

BACKGROUND: Despite increased research using large administrative databases to identify determinants of maternal morbidity and mortality, the extent to which these databases capture obstetric co-morbidities is unknown. OBJECTIVE: To evaluate the impact that the time window used to assess obstetric co-morbidities has on the completeness of ascertainment of those co-morbidities. METHODS: We conducted a five-year analysis of inpatient hospitalisations of pregnant women from 2010-2014 using the Nationwide Readmissions Database. For each woman, using discharge diagnoses, we identified 24 conditions used to create the Obstetric Comorbidity Index. Using various assessment windows for capturing obstetric co-morbidities, including the delivery hospitalisation only and all weekly windows from 7 to 280 days, we calculated the frequency and rate of each co-morbidity and the degree of underascertainment of the co-morbidity. Under each scenario, and for each co-morbidity, we also calculated the all-cause, 30-day readmission rate. RESULTS: There were over 3 million delivery hospitalisations from 2010 to 2014 included in this analysis. Compared with a full 280-day window, assessment of obstetric co-morbidities using only diagnoses made during the delivery hospitalisation would result in failing to identify over 35% of cases of chronic renal disease, 28.5% cases in which alcohol abuse was documented during pregnancy, and 23.1% of women with pulmonary hypertension. For seven other co-morbidities, at least 1 in 20 women with that condition would have been missed with exclusive reliance on the delivery hospitalisation for co-morbidity diagnoses. Not only would reliance on delivery hospitalisations have resulted in missed cases of co-morbidities, but for many conditions, estimates of readmission rates for women with obstetric co-morbidities would have been underestimated. CONCLUSIONS: An increasing proportion of maternal and child health research is based on large administrative databases. This study provides data that facilitate the assessment of the degree to which important obstetric co-morbidities may be underascertained when using these databases.

A nationwide study of breast cancer, depression, and multimorbidity among hospitalized women and men in the United States.

PURPOSE: Breast cancer is the most common and second most deadly cancer for women in the US. Comorbidities like depression exacerbate the burden. This national study provides data on depression and comorbidity for both women and men with breast cancer. METHODS: We conducted a serial cross-sectional analysis of the 2002-2014 National Inpatient Sample, the largest all-payer inpatient discharge database in the United States. We identified patients with primary site breast cancer, and captured information on their concomitant depression and other major chronic comorbidities. Logistic regression was used to generate adjusted odds ratios representing associations between patient and hospital characteristics and depression. Joinpoint regression was used to estimate temporal trends in depression rates. RESULTS: Depression prevalence was higher for women than men, with little difference between cancer subtypes. Comorbidity burden was nearly twice as high for men. From 2002 to 2014, the average number of comorbidities doubled. Depression rates were highest for patients with four or more chronic comorbidities and those with unplanned hospitalizations. Significant yearly increases of 6-10% in depression were also observed. CONCLUSIONS: Breast cancer patient depression rates were higher than the general inpatient population with a strong gradient effect between increasing numbers of comorbidities and the odds of depression. Comorbidities, including mental health-related, negatively impact breast cancer prognosis, increasing cancer-specific mortality as well as mortality for other conditions. Unplanned hospitalization episodes in a patient with breast cancer can be noted as an opportunity for mental health screening and intervention.

Hospital- and Patient-Level Characteristics Associated With Unplanned Readmissions and In-Patient Mortality in Men and Women With Alcoholic Cardiomyopathy.

OBJECTIVE: The aims of the study were to (a) determine rates of early, late, and overall 30-day all-cause readmission for women and men with the diagnosis of alcoholic cardiomyopathy (ACM), (b) examine hospital- and patient-level characteristics associated with the risk of readmission and how these factors differed by sex, and (c) examine the association between sex and in-patient mortality during readmission. METHOD: We conducted a multi-year cross-sectional analysis of adult (≥18 years) inpatient hospitalizations in the United States. Descriptive statistics including frequencies and percentages were used to describe the study population, stratified by sex. We then used Poisson regression with robust error variance estimation to estimate risk ratios (RRs) and 95% confidence intervals (CIs) that represented the associations between sex and likelihood of 30-day all-cause readmission and inpatient mortality. RESULTS: Among more than 116 million hospitalizations, there were 53,207 ACM-related hospitalizations (45,573 men and 7,634 women). Thirty-day all-cause readmission rates following an ACM-related index hospitalization were similar between men (20.3%) and women (20.5%). For men and women, cancer, hepatitis, chronic renal failure, cirrhosis, asthma, and anemia were associated with a higher risk of readmission. Although crude in-hospital mortality rates were higher among women (6.6%) than men (4.3%), there were no sex differences in mortality after adjusting for confounders (RR = 1.26, 95% CI [0.88, 1.81]). CONCLUSIONS: Although men are more likely to be hospitalized for ACM, readmission risk is high (approximately 20%) and is similar in men and women following hospitalization for ACM. Hospital care transition programs that include a multidisciplinary approach are needed to help prevent these readmissions and associated morbidity and mortality.

The association between use of opiates, cocaine, and amphetamines during pregnancy and maternal postpartum readmission in the United States: A retrospective analysis of the Nationwide Readmissions Database.

BACKGROUND: Substance use during pregnancy has increased in the United States, with adverse consequences for mother and baby. Similarly, postpartum readmission (PPR) imposes physical, emotional, and financial stressors causing disruption to family functioning and childcare. We used national data to estimate the extent to which women who used opiates, cocaine, and amphetamines during pregnancy are at increased risk of PPR. METHODS: We analyzed 2010-2014 data from the Nationwide Readmissions Database (NRD). Our exposure, drug use during pregnancy, was identified using diagnosis codes indicative of opioid, cocaine or amphetamine use, abuse, or dependence. The outcome was all-cause PPR, maternal readmission within 42 days following discharge from the delivery hospitalization. Multivariable logistic regression was used to estimate odds ratios (OR) that represented associations between drug use and PPR. RESULTS: Among 11 million delivery hospitalizations, nearly 1 % had documented use of opiates, cocaine and/or amphetamines. The crude PPR rate was nearly four times higher among users (54.6 per 1000) compared to non-users (14.0 per 1000), and 1 in 10 women who had documented use of more than one drug category experienced postpartum readmission. Even after controlling for sociodemographic and clinical confounders, we observed a two-fold increased odds of PPR among users compared to non-users (OR = 1.95; 95 % CI: 1.82, 2.07). CONCLUSIONS: The national opioid epidemic should encourage a paradigm shift in health care public policy to facilitate the management of all substance use disorders as chronic medical conditions through evidence-based public health initiatives to prevent these disorders, treat them, and promote recovery.

Exploring classification of birth defects severity in national hospital discharge databases compared to an active surveillance program.

OBJECTIVE: To explore the extent to which the severity of birth defects could be differentiated using severity of illness (SOI) and risk of mortality (ROM) measures available in national discharge databases. METHODS: Data from the 2012-14 National Inpatient Sample (NIS) was used to identify hospitalizations with one or more major birth defects reported annually to the National Birth Defects Prevention Network using the International Classification of Diseases, Ninth Edition, Clinical Modification (ICD-9-CM) diagnosis codes. Each hospitalization also contained a 4-level SOI and 4-level ROM classification measure. For each birth defect and for each individual birth defect-related ICD-9-CM code, we calculated mean and median SOI and ROM, the proportion of hospitalizations in each level of SOI and ROM, the inpatient mortality rate, and level of agreement between various existing or derived severity proxies in the NIS and the Texas Birth Defects Registry (TBDR). RESULTS: Mean SOI ranged from 1.5 (cleft lip alone) to 3.7 (single ventricle), and mean ROM ranged from 1.1 (cleft lip alone) to 3.9 (anencephaly). As a group, critical congenital heart defects had the highest average number of co-occurring defects, mean SOI, and ROM, whereas orofacial and genitourinary defects had the lowest SOI and ROM. We found strong levels of agreement between TBDR severity classifications and NIS severity classifications defined using Level 3 or 4 SOI or ROM Level 3 or 4. CONCLUSIONS: This preliminary investigation demonstrated how severity indices of birth defects could be differentiated and compared to a severity algorithm of an existing surveillance program.

Trends in regionalization of inpatient care for urological malignancies, 1988 to 2002.

PURPOSE: Higher hospital and clinician volumes may be associated with improved patient outcomes for complex surgical and medical care, although the strength and consistency of this association varies markedly across specific conditions and procedures. Pressures from payors and policymakers exist to move complex care to high volume hospitals. The net effect of these pressures may be the regionalization of care. We quantified trends in the regionalization of inpatient care for urological oncology in a national administrative database. MATERIALS AND METHODS: The Nationwide Inpatient Sample, a 20% stratified sample of United States community hospital admissions, was queried for surgical and nonsurgical admissions for bladder, renal and prostate cancer care between 1988 and 2002. Hospitals were grouped into tertiles by annual surgical volume. Trends over time in the annual discharge rate by hospital volume tertile, geographic region and insurance status were analyzed. RESULTS: High volume hospitals were defined by at least 22, 12 and 26 cases per year for bladder, renal and prostate cancer, respectively. High volume hospital discharges increased significantly as a proportion of all discharges for bladder (67% to 70%) and renal (67% to 73%) cancer surgery, and they were essentially constant for prostate surgery (76%). Trends were similar for Medicare and Medicaid patients except high volume hospital discharges for prostate cancer decreased during the study period. Significant regional variation was observed for the regionalization of surgical and nonsurgical care. CONCLUSIONS: Nationwide Inpatient Sample data demonstrate the ongoing regionalization of urological oncology care. The policy implications of this trend are complex with potentially important benefits and risks in terms of access to and quality of care.

Mortality after major surgery for urologic cancers in specialized urology hospitals: are they any better?

PURPOSE: Specialty-specific hospitals and hospitals with a high volume of complex procedures have been shown to have better outcomes. We sought to determine whether a high volume of unrelated complex procedures or procedures in the same specialty area (urology) could translate into better outcomes after major urologic cancer surgery. METHODS: We performed a cross-sectional analysis of administrative discharge abstract data from the Nationwide Inpatient Sample of the Health Care Utilization Project for years 1998 to 2002. Comparison of outcome after three major urologic cancer-related surgical procedures (radical cystectomy [RC], radical nephrectomy [RN], and radical prostatectomy [RP]) at hospitals by procedure-specific volume, specialized urology status, and Leapfrog criteria was obtained to determine in-hospital mortality after the procedure. All patients in the database with a diagnosis of bladder, kidney, or prostate cancer being admitted for RC, RN, or RP between 1998 and 2002 were included. RESULTS: Neither specialized urology status nor meeting Leapfrog volume criteria for unrelated procedures was associated with lower odds of in-hospital mortality after any of the procedures examined. High-volume hospitals (for RC and RP) and moderate-volume hospitals (for RP) were associated with lower odds of mortality. None of the examined hospital volume-related factors was associated with lower odds of mortality after RN. CONCLUSION: In-hospital mortality after two of three major urologic cancer procedures is affected only by procedure-specific volumes. Generalized process measures existing in hospitals performing a high volume of general urologic procedures or unrelated complex procedures may be less important determinants of procedure-specific outcomes in patients.