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The patient-centered medical home model of primary care has received considerable attention for its potential to improve outcomes and reduce health care costs. Yet little information exists about the model's ability to achieve these goals for Medicaid patients. We sought to evaluate the effect of patient-centered medical home certification of Louisiana primary care clinics on the quality and cost of care over time for a Medicaid population. We used a quasi-experimental pre-post design with a matched control group to assess the effect of medical home certification on outcomes. We found no impact on acute care use and modest support for reduced costs and primary care use among medical homes serving higher proportions of chronically ill patients. These findings provide preliminary results related to the ability of the patient-centered medical home model to improve outcomes for Medicaid beneficiaries. The findings support a case-mix-adjusted payment policy for medical homes going forward.

Background. Although approximately 82 percent of the US population was covered by some form of law that restricted smoking in public establishments as of 2014, most research examining the relationship between smoke-free laws and health has been focused at the state level.Purpose. To examine the effect of county workplace smoke-free laws over and above the effect of other (restaurant or bar) smoke-free laws on adult asthma.Methods. The study estimated the effect of rates of adult asthma discharges before and after the implementation of county nonhospitality workplace smoke-free laws and county restaurant and bar smoke-free laws. Data were from 2002 to 2009, and all analyses were performed in 2011 through 2013.Results. A statistically significant relationship (−5.43,p<.05) was found between county restaurant or bar smoke-free laws and reductions in working age adult asthma discharges. There was no statistically significant effect of nonhospitality workplace smoke-free laws over and above the effect of county restaurant or bar laws.Conclusions. This study suggests that further gains in preventable asthma-related hospitalizations in the US are more likely to be made by focusing on smoke-free laws in bars or restaurants rather than in nonhospitality workplaces.

Objective Determine the degree of congruence between several measures of adverse events. Design Cross-sectional study to assess frequency and type of adverse events identified using a variety of methods. Setting Mayo Clinic Rochester hospitals. Participants All inpatients discharged in 2005 ( n = 60 599). Interventions Adverse events were identified through multiple methods: (i) Agency for Healthcare Research and Quality-defined patient safety indicators (PSIs) using ICD-9 diagnosis codes from administrative discharge abstracts, (ii) provider-reported events, and (iii) Institute for Healthcare Improvement Global Trigger Tool with physician confirmation. PSIs were adjusted to exclude patient conditions present at admission. Main outcome measure Agreement of identification between methods. Results About 4% (2401) of hospital discharges had an adverse event identified by at least one method. Around 38% (922) of identified events were provider-reported events. Nearly 43% of provider-reported adverse events were skin integrity events, 23% medication events, 21% falls, 1.8% equipment events and 37% miscellaneous events. Patients with adverse events identified by one method were not usually identified using another method. Only 97 (6.2%) of hospitalizations with a PSI also had a provider-reported event and only 10.5% of provider-reported events had a PSI. Conclusions Different detection methods identified different adverse events. Findings are consistent with studies that recommend combining approaches to measure patient safety for internal quality improvement. Potential reported adverse event inconsistencies, low association with documented harm and reporting differences across organizations, however, raise concerns about using these patient safety measures for public reporting and organizational performance comparison.

Explore effects of comorbidity and prior health care utilization on choice of employee health plans with different levels of cost sharing.Mayo Clinic employees in Rochester, Minnesota (MCR) under age 65 in January 2004; N = 20,379.Assessment of a natural experiment where self-funded medical care benefit options were changed to contain costs within a large medical group practice. Before the change, most employees were enrolled in a plan with first dollar coverage, while 18% had a plan with copays and deductibles. In 2004, 3 existing plans were replaced by 2 new options, one with lower premiums and higher out-of-pocket costs and the other with higher premiums, a lower coinsurance rate, and lower out-of-pocket maximums.Data on employees were merged across insurance claims, medical records, eligibility files, and employment files for 2003 and 2004.As the number of chronic comorbidities among family members increased, the probability of choosing high-premium option also increased. Seventy-two percent of employees with at least 1 family member with comorbidity chose the high-cost option versus 54.7% of employees with no comorbidities. High-premium and low-premium plans seem to subdivide population into discrete risk categories, which may adversely affect the future stability of the insurance plan options.Various factors affect decision making of employees regarding the choice of plan with different levels of cost-sharing. In a natural experiment setting where all options were redesigned, the health status of employees and their dependents played a very significant role in plan choice.

PURPOSE We wanted to identify risk factors for persistently high use of primary care. METHODS We analyzed outpatient office visits to practitioners in family medicine, general internal medicine, general pediatrics, and obstetrics for 1997–1999 among patients in a small Midwestern city covered by a fee-for-service insurance plan with no co-payments for physician visits and no requirement for referral to specialty care. Logistic regression was used to predict which patients with 10 or more primary care visits in 1997 would repeat high use in 1998 based on demographic and diagnostic categories (adjusted clinical groups [ACGs]). A confirmatory data set (high primary care use in 1998 persistent into 1999) was used to evaluate the model. RESULTS Two percent of the 54,074 patients had 10 or more primary care visits in 1997, and of these, almost 19% had 10 or more visits in the next year. Among adults, 4 ambulatory diagnosis groups (ADGs) were simultaneously positive predictors of repeated high primary care visits: unstable chronic medical conditions, see and reassure conditions, minor time-limited psychosocial conditions, and minor signs and symptoms. Meanwhile, pregnancy was negatively associated. The area under the receiver operating characteristic (ROC) curve was 0.794 for adults in the developmental data set and 0.752 in the confirmatory data set, indicating a moderately accurate assessment. A satisfactory model was not developed for pediatric patients. CONCLUSIONS Many persistently high primary care users appear to be overserviced but underserved, with underlying problems not addressed by a medical approach. Some may benefit from psychosocial support, whereas others may be good candidates for disease management interventions.

Diverting attention away from noxious stimulation (i.e., distraction) is a common pain-coping strategy. Its effects are variable across individuals, however, and the authors hypothesized that chronic pain patients who reported higher levels of pain catastrophizing would derive less pain-reducing benefit from distraction.Chronic pain patients (n=149) underwent psychometric and quantitative sensory testing, including assessment of the temporal summation of pain in the presence and absence of a distracting motor task.A simple distraction task decreased temporal summation of pain overall, but, surprisingly, a greater distraction analgesia was observed in high catastrophizers. This enhanced distraction analgesia in high catastrophizers was not altered when controlling for current pain scores, depression, anxiety, or opioid use (analysis of covariance [ANCOVA]: F=8.7, P0.005). Interestingly, the magnitude of distraction analgesia was inversely correlated with conditioned pain modulation (Pearson R=-0.23, P=0.005).Distraction produced greater analgesia among chronic pain patients with higher catastrophizing, suggesting that catastrophizing's pain-amplifying effects may be due in part to greater attention to pain, and these patients may benefit from distraction-based pain management approaches. Furthermore, these data suggest that distraction analgesia and conditioned pain modulation may involve separate underlying mechanisms.

For the past two decades, Louisiana's population health rankings as reported by the United Health Foundation have been among the lowest in the nation. In addition, the 2009 Commonwealth State Scorecards Report ranked the Louisiana health system performance, in terms of health outcomes, among the poorest in the nation. One reason for this disparity could be attributed to shortages of physicians and other healthcare resources in the state. These shortages were exacerbated by the damage from Hurricanes Katrina and Rita in 2005 to hospitals and physicians' practices in New Orleans and throughout the state. This descriptive cross-sectional study focused on the geographical dimension of access and on one of its critical determinants: the availability of physicians. The objective behind this study was to offer a better understanding of the determinants of geographical imbalances in the distribution of physicians in the state of Louisiana. This study is part one of a three-part series that examines the association between total physician supply, primary care, and specialty care supply on mortality amenable to healthcare (MAHC).

This retrospective study aimed to evaluate the effect of predisposing (demographic), enabling (organizational), and illness (health status) factors on human immunodeficiency virus (HIV)/acquired immunodeficiency virus (AIDS)-related hospital length of stay (LOS). Inpatient hospital visit record data from 1998 through 2003 was abstracted from the Louisiana Hospital Inpatient Discharge Database. We hypothesized that enabling, not predisposing or illness factors, influenced hospital LOS among HIV-infected persons in Louisiana. Analyses were performed for the six-year period and then repeated for each year of admission. Aggregate multivariable analysis revealed that the LOS for rural residents was more than one-third longer than for urban residents (p = 0.025). This effect was consistent for each year of analysis, although it failed to reach statistical significance after adjusting for other covariates. Subjects' gender and age categories were found to be insignificant predictors for the LOS, controlling for other covariates in model. Other significant independent predictors of LOS in the aggregate time series model were number of comorbid conditions, number of inpatient medical procedures, presence of an AIDS defining illness, and source and type of admission; although effects of only the first two predictors were significant at each year of analysis (all p-values.05). This study shows that neither gender nor age of HIV patients is a significant predictor of HIV-related LOS. However, the number of comorbid conditions and inpatient medical procedures are significant.

Summary Objectives In order to make tuberculosis (TB) treatment more effective and to lower the default rate of the disease, the Bureau of National Health Insurance (BNHI) in Taiwan implemented the "pay-for-performance on Tuberculosis" program (P4P on TB) in 2004. The purpose of this study is to investigate the effectiveness of the P4P system in terms of default rate. Methods This is a retrospective study. National Health Insurance Research Datasets in Taiwan from 2002 to 2005 has been used for the study. The study compared the differences of TB default rate before and after the implementation of P4P program, between participating and non-participating hospitals, and between P4P hospitals with and without case managers. Furthermore, logistic regression analysis was conducted to explore the related factors influencing TB patients default treatment after TB detected. Results The treatment default rate after "P4P on TB" was 11.37% compared with the 15.56% before "P4P on TB" implementation. The treatment default rate in P4P hospitals was 10.67% compared to 12.7% in non-P4P hospitals. In addition, the default rate was 10.4% in hospitals with case managers compared with 12.68% in hospitals without case managers. Conclusions The results of the study showed that "P4P on TB" program improved the treatment default rate for TB patients. In addition, case managers improved the treatment outcome in controlling patients' default rate.

Background The prevalence of both unintended pregnancy and psychiatric disorders in pregnancy is high. Each is associated with compromised birth outcomes and challenges in child-rearing. This study examines the relationship between mental illness and unintended pregnancy in seeking to improve the care provided to women and our ability to minimize the number of children born unwanted or ill-cared for. Methods The sample consisted of 744 pregnant Women, Infants, and Children (WIC) participants with a stratified enrollment design by residence and representative by race for each WIC county. Analysis consisted of post-stratification by developmental age group with logistic regression models estimating odds of unintended pregnancy among women with and without a psychiatric disorder. Covariates included race, education, and marital status. Findings Almost one third (30.9%) had at least one psychiatric disorder with over two thirds (67.3%) reporting their pregnancy as unintended. No grouped psychiatric disorder was associated with unintended pregnancy with all ages combined. However, adolescents (ages 15–19) with a substance disorder were less likely to have an unintended pregnancy (adjusted odds ratio [aOR], 0.3; 95% confidence interval [CI], 0.1–0.7) than women without a substance disorder and emerging adult women (ages 20–23) with an anxiety disorder were less likely to have an unintended pregnancy (aOR, 0.4; 95% CI, 0.2–1.0) compared with those without the targeted disorder. Conclusion The prevalence of unintended pregnancy is not associated with having a psychiatric disorder, although substance use disorders and anxiety disorders were associated with a decreased likelihood for an unintended pregnancy in a specific age group. Importantly, targeted efforts are needed to identify and counsel women with mental illness about pregnancy planning.

Context: Many attempts to identify hospital complications rely on secondary diagnoses from billing data. To be meaningful, diagnosis codes must distinguish between diagnoses after admission and those existing before admission. Objective: To assess the influence of diagnoses at admission on patient safety, comorbidity, severity measures, and case mix groupings for Medicare reimbursement. Design: Cross-sectional association of various diagnosis-based clinical and performance measures with and without diagnosis present on admission. Setting: Hospital discharges from Mayo Clinic Rochester hospitals in 2005 (N = 60,599). Patients: All hospital inpatients including surgical, medical, pediatric, maternity, psychiatric, and rehabilitation patients. About 33% of patients traveled more than 120 miles for care. Main Outcome Measures: Hospital patient safety indicators, comorbidity, severity, and case mix measures with and without diagnoses present at admission. Results: Over 90% of all diagnoses were present at admission whereas 27.1% of all inpatients had a secondary diagnosis coded in-hospital. About one-third of discharges with a safety indicator were flagged because of a diagnosis already present at admission, more likely among referral patients. In contrast, 87% of postoperative hemorrhage, 22% of postoperative hip fractures, and 54% of foreign bodies left in wounds were coded as in-hospital conditions. Severity changes during hospitalization were observed in less than 8% of discharges. Slightly over 3% of discharges were assigned to higher weight diagnosis-related groups based on an in-hospital complication. Conclusions: In general, many patient safety indicators do not reliably identify adverse hospital events, especially when applied to academic referral centers. Except as noted, conditions recorded after admission have minimal impact on comorbidity and severity measures or on Medicare reimbursement.

Objectives. We examined the association between psychiatric disorders and tobacco use during pregnancy. Methods. Data were derived from a population-based cohort of 744 pregnant African American and White low-income women living in urban and rural areas. The Diagnostic Interview Schedule was used to assess women for 20 different psychiatric disorders. Results. In comparison with nonusers, persistent tobacco users (women who had used tobacco after confirmation of their pregnancy) and nonpersistent users (women who had used tobacco but not after pregnancy confirmation) were 2.5 and 2 times as likely to have a psychiatric disorder. Twenty-five percent of persistent users had at least 1 of the following diagnoses: generalized anxiety disorder, bipolar I disorder, oppositional disorder, drug abuse or dependence, and attention deficit–hyperactivity disorder. Conclusions. In this cohort study, 5 diagnoses were more prevalent among persistent tobacco users than among nonusers, suggesting that several psychiatric disorders contribute to difficulty discontinuing tobacco use during pregnancy. Smoking cessation efforts focusing on pregnant women may need to address co-occurring psychiatric disorders if they are to be successful.

Background This study analyzed the likelihood of less-urgent emergency department (ED) visits among type 2 diabetic patients receiving care under a diabetes disease management (DM) program offered by the Louisiana State University Health Care Services Division (LSU HCSD). Methods All ED and outpatient clinic visits made by 6,412 type 2 diabetic patients from 1999 to 2006 were extracted from the LSU HCSD Disease Management (DM) Evaluation Database. Patient ED visits were classified as either urgent or less-urgent, and the likelihood of a less-urgent ED visit was compared with outpatient clinic visits using the Generalized Estimating Equation methodology for binary response to time-dependent variables. Results Patients who adhered to regular clinic visit schedules dictated by the DM program were less likely to use the ED for less urgent care with odds ratio of 0.1585. Insured patients had 1.13 to 1.70 greater odds of a less-urgent ED visit than those who were uninsured. Patients with better-managed glycated hemoglobin (A1c or HbA1c) levels were 82 times less likely to use less-urgent ED visits. Furthermore, being older, Caucasian, or a longer participant in the DM program had a modestly lower likelihood of less-urgent ED visits. The patient's Charlson Comorbidity Index (CCI), gender, prior hospitalization, and the admitting facility showed no effect. Conclusion Patients adhering to the DM visit guidelines were less likely to use the ED for less-urgent problems. Maintaining normal A1c levels for their diabetes also has the positive impact to reduce less-urgent ED usages. It suggests that successful DM programs may reduce inappropriate ED use. In contrast to expectations, uninsured patients were less likely to use the ED for less-urgent care. Patients in the DM program with Medicaid coverage were 1.3 times more likely to seek care in the ED for non-emergencies while commercially insured patients were nearly 1.7 times more likely to do so. Further research to understand inappropriate ED use among insured patients is needed. We suggest providing visit reminders, a call centre, or case managers to reduce the likelihood of less-urgent ED visit use among DM patients. By reducing the likelihood of unnecessary ED visits, successful DM programs can improve patient care.

The effects of chronic pretreatment with amiodarone on ischemic ventricular arrhythmias were evaluated in fully conscious instrumented dogs. In control dogs (n = 14) with large myocardial infarcts, early (first 30 min) ventricular arrhythmias occurred in a bimodal distribution with peaks at 3-5 min and at 12-25 min, with only the former associated with epicardial conduction delay. Ventricular fibrillation occurred equally frequently during each peak of early ventricular arrhythmias. Amiodarone (30 mg/kg daily) for 3-4 weeks had no significant effect (n = 11) on anatomic infarct size (28 +/- 6 vs. 30 +/- 5% of left ventricular weight) nor on collateral blood flow in the center of the infarct (19 +/- 11 vs. 15 +/- 7 ml/min/100 g of tissue) or on the ratio of endocardial/epicardial perfusion (0.23 +/- 0.19 vs. 0.28 +/- 19). Despite significant lengthening of peak epicardial conduction delay (191 +/- 20 to 239 +/- 81 ms, p less than 0.05), the frequency of early ventricular arrhythmias, especially during the second peak of ectopic activity, were markedly attenuated by amiodarone pretreatment, with the extrasystole-free intervals often being as long as 6 h. The incidence of ventricular fibrillation was 9% in the treated animals compared with 29% in the controls. In the control animals, arrhythmias always supervened when epicardial fractionation was significant, and no ectopy-free interval was present in the first 6 h following coronary occlusion. The data indicate that chronic amiodarone pretreatment exerts a beneficial effect on the frequency and severity of such ventricular tachyarrhythmias, with reduction in the incidence of ventricular fibrillation and ectopic activity in the early phases following coronary occlusion.