Documented Penicillin Allergies on Antibiotic Selection at Pediatric Emergency Department Visits.

BACKGROUND: Penicillin or amoxicillin are the recommended treatments for the most common pediatric bacterial illnesses. Allergies to penicillin are commonly reported among children but rarely true. We evaluated the impact of reported penicillin allergies on broad-spectrum antibiotic use overall and for the treatment of common respiratory infections among treat-and-release pediatric emergency department (ED) visits. METHODS: Retrospective cohort study of pediatric patients receiving antibiotics during a treat-and-release visit at a large, pediatric ED in the northeast from 2014 to 2016. Study exposure was a reported allergy to penicillin in the electronic medical record. Study outcomes were the selection of broad-spectrum antibiotics and alternative (second-line) antibiotic therapy for the treatment of acute otitis media (AOM) and group A streptococcus (GAS) pharyngitis. We used unadjusted and adjusted generalized estimating equation models to analyze the impact of reported penicillin allergies on the selection of broad-spectrum antibiotics. We used unadjusted and adjusted logistic regression models to determine the probability of children with a documented penicillin allergy receiving alternative antibiotic treatments for AOM and GAS. RESULTS: Among 12,987 pediatric patients, 810 (6.2%) had a documented penicillin allergy. Penicillin allergies increased the odds of children receiving a broad spectrum versus narrow spectrum antibiotic (adjusted odds ratio, 13.55; 95% confidence interval (CI), 11.34-16.18). In our adjusted logistic regression model, the probability of children with a documented penicillin allergy receiving alternative antibiotic treatment for AOM was 0.97 (95% CI, 0.94-0.99) and for GAS was 0.97 (95% CI, 0.92-0.99). CONCLUSIONS: Antibiotic stewardship efforts in pediatric EDs may consider the delabeling of penicillin allergies particularly among children receiving antibiotics for an acute respiratory infection as a target for intervention.

Pursuing sources of heterogeneity in modeling clustered population.

Researchers often have to deal with heterogeneous population with mixed regression relationships, increasingly so in the era of data explosion. In such problems, when there are many candidate predictors, it is not only of interest to identify the predictors that are associated with the outcome, but also to distinguish the true sources of heterogeneity, that is, to identify the predictors that have different effects among the clusters and thus are the true contributors to the formation of the clusters. We clarify the concepts of the source of heterogeneity that account for potential scale differences of the clusters and propose a regularized finite mixture effects regression to achieve heterogeneity pursuit and feature selection simultaneously. We develop an efficient algorithm and show that our approach can achieve both estimation and selection consistency. Simulation studies further demonstrate the effectiveness of our method under various practical scenarios. Three applications are presented, namely, an imaging genetics study for linking genetic factors and brain neuroimaging traits in Alzheimer's disease, a public health study for exploring the association between suicide risk among adolescents and their school district characteristics, and a sport analytics study for understanding how the salary levels of baseball players are associated with their performance and contractual status.

A Review of Statistical Disclosure Control Techniques Employed by Web-Based Data Query Systems.

We systematically reviewed the statistical disclosure control techniques employed for releasing aggregate data in Web-based data query systems listed in the National Association for Public Health Statistics and Information Systems (NAPHSIS). Each Web-based data query system was examined to see whether (1) it employed any type of cell suppression, (2) it used secondary cell suppression, and (3) suppressed cell counts could be calculated. No more than 30 minutes was spent on each system. Of the 35 systems reviewed, no suppression was observed in more than half (n = 18); observed counts below the threshold were observed in 2 sites; and suppressed values were recoverable in 9 sites. Six sites effectively suppressed small counts. This inquiry has revealed substantial weaknesses in the protective measures used in data query systems containing sensitive public health data. Many systems utilized no disclosure control whatsoever, and the vast majority of those that did deployed it inconsistently or inadequately.

The SOS Suicide Prevention Program: Further Evidence of Efficacy and Effectiveness.

This study replicated and extended previous evaluations of the Signs of Suicide (SOS) prevention program in a high school population using a more rigorous pre-test post-test randomized control design than used in previous SOS evaluations in high schools (Aseltine and DeMartino 2004; Aseltine et al. 2007). SOS was presented to an ethnically diverse group of ninth grade students in technical high schools in Connecticut. After controlling for the pre-test reports of suicide behaviors, exposure to the SOS program was associated with significantly fewer self-reported suicide attempts in the 3 months following the program. Ninth grade students in the intervention group were approximately 64% less likely to report a suicide attempt in the past 3 months compared with students in the control group. Similarly, exposure to the SOS program resulted in greater knowledge of depression and suicide and more favorable attitudes toward (1) intervening with friends who may be exhibiting signs of suicidal intent and (2) getting help for themselves if they were depressed or suicidal. In addition, high-risk SOS participants, defined as those with a lifetime history of suicide attempt, were significantly less likely to report planning a suicide in the 3 months following the program compared to lower-risk participants. Differential attrition is the most serious limitation of the study; participants in the intervention group who reported a suicide attempt in the previous 3 months at baseline were more likely to be missing at post-test than their counterparts in the control group.

Connecticut Hospital Readmissions Related to Chest Pain and Heart Failure: Differences by Race, Ethnicity, and Payer.

BACKGROUND: Racial and ethnic disparities in hospital readmissions for several major illnesses and conditions are well-documented. However, due to the data typically used to assess readmission disparities little is known regarding the interplay between race/ethnicity and payer in fostering readmissions. This study used a statewide database of acute-care hospital admissions to examine 30-day readmission rates following hospitalization for chest pain and heart failure byrace/ethnicity and insurance status. METHODS: Connecticut hospital discharge data for patients admitted for Chest Pain-DRG 313 (n = 23,450) and Heart Failure and Shock-DRG 291 and 292 (n = 39,985) from 2008 - 2012 were analyzed using marginal logistic models for clustered data with generalized estimating equations. RESULTS: Results from logistic models indicated that Black patients were significantly more likely to be readmitted within 30 days of discharge following hospitalization for chest pain (OR = 1.19, CI = 1.04, 1.37) than were White patients. Hispanics, but not Blacks, were significantly more likely to be readmitted within 30 days of discharge following hospitalization for heart failure (OR = 1.30, CI = 1.15, 1.47). Rates of 30-day readmission across these conditions were between 50-100% higher among those covered by Medicaid compared to those covered by private payer. Controlling for patient socioeconomic status, patient comorbidities, and payer substantially reduced Black/White differences in the odds of readmission for chest pain but did not reduce Hispanic-White differences for heart failure. CONCLUSIONS: Racial and ethnic disparities were seen in hospital readmission rates for Chest Pain (DRG 313) and Heart Failure and Shock (DRG 291 and 292) when a statewide database that captures all acute care hospital admissions was analyzed. When controlling for patient socioeconomic status, comorbidities, and payer status, the difference in the odds of readmission for chest pain, but not heart failure, was reduced.

Understanding the Burden of 30-Day Readmission in Patients With Both Primary and Secondary Diagnoses of Heart Failure: Causes, Timing, and Impact of Co-Morbidities.

Although efforts to reduce 30-day readmission rates have mainly focused on patients with heart failure (HF) as a primary diagnosis at index hospitalization, patients with HF as a secondary diagnosis remain common, costly, and understudied. This study aimed to determine the incidence, etiology, and patterns of 30-day readmissions after discharge for HF as a primary and secondary diagnosis and investigate the impact of co-morbidities on HF readmission. The National Readmission Database from 2014 to 2016 was used to identify HF patients with a linked 30-day readmission. Patient and hospital characteristics, admission features, and Elixhauser-related co-morbidities were compared between the 2 groups. Readmitted patients in both groups were younger, male, with lower household income, higher mortality risk, and higher hospitalization costs. Over 60% of readmissions were for reasons other than HF, and greater than 1/3 had more than 2 readmissions within 30 days, with a median time to readmission of 12 days. Both cohorts had high readmission rates and high rates of readmission for causes other than HF. Our findings suggest that efforts to reduce 30-day readmission rates should be extended to patients with secondary HF diagnosis, with surveillance extending to 2 weeks postdischarge to identify patients at risk.

Clinical outcomes in borderline and locally advanced pancreatic cancer with the addition of low-dose-rate brachytherapy to standard of care therapy.

PURPOSE: Surgical resection remains the only curative therapy for pancreatic cancer. Unfortunately, many patients have borderline or unresectable disease at diagnosis due to proximity of major abdominal vessels. Neoadjuvant chemotherapy and radiation are used to down-stage, however, there is a risk that there will be a positive/close surgical margin. The CivaSheet is a low-dose-rate (LDR) brachytherapy device placed at the time of surgery to target the area of highest risk of margin positivity. The purpose of this study is to assess the clinical value of brachytherapy in addition to standard-of-care therapy in pancreatic therapy. METHODS AND MATERIALS: Between 2017 and 2022 patients with borderline and locally advanced pancreatic cancer treated with neoadjuvant chemotherapy and radiation followed by surgical resection were included. There were 2 cohorts of patients: (1) Those who had the LDR brachytherapy device placed at the time of surgery and (2) those who did not. Sixteen of 19 (84%) patients who had brachytherapy were enrolled in a prospective clinical trial (NCT02843945). Patients were matched for comorbidities, cancer staging, and treatment details. The primary outcome was progression-free survival (PFS). RESULTS: Thirty-five patients were included in this analysis, 19 in the LDR brachytherapy group and 16 in the comparison cohort. The 2-year PFS was 21% vs. 0% (p = 0.11), 2-year OS was 26% vs. 13% (p = 0.43), and the pancreatic cancer cause-specific survival was 84% vs. 56% (p = 0.13) in favor of the brachytherapy patients. CONCLUSIONS: Use of LDR brachytherapy at the time of resection shows a trend towards improved progression free and overall survival for patients with borderline or locally advanced pancreatic cancer treated with neoadjuvant chemoradiation.

Assessing intervention efficacy on high-risk drinkers using generalized linear mixed models with a new class of link functions.

Unhealthy alcohol use is one of the leading causes of morbidity and mortality in the United States. Brief interventions with high-risk drinkers during an emergency department (ED) visit are of great interest due to their possible efficacy and low cost. In a collaborative study with patients recruited at 14 academic ED across the United States, we examined the self-reported number of drinks per week by each patient following the exposure to a brief intervention. Count data with overdispersion have been mostly analyzed with generalized linear mixed models (GLMMs), of which only a limited number of link functions are available. Different choices of link function provide different fit and predictive power for a particular dataset. We propose a class of link functions from an alternative way to incorporate random effects in a GLMM, which encompasses many existing link functions as special cases. The methodology is naturally implemented in a Bayesian framework, with competing links selected with Bayesian model selection criteria such as the conditional predictive ordinate (CPO). In application to the ED intervention study, all models suggest that the intervention was effective in reducing the number of drinks, but some new models are found to significantly outperform the traditional model as measured by CPO. The validity of CPO in link selection is confirmed in a simulation study that shared the same characteristics as the count data from high-risk drinkers. The dataset and the source code for the best fitting model are available in Supporting Information.

Predictors of 30-Day Readmission in Patients Hospitalized With Heart Failure as a Primary Versus Secondary Diagnosis.

Short-term rehospitalizations are common, costly, and detrimental to patients with heart failure (HF). Current research and policy have focused primarily on 30-day readmissions for patients with HF as a primary diagnosis at index hospitalization, whereas a much larger population of patients are admitted with HF as a secondary diagnosis. This study aims to compare patients initially hospitalized for HF as either a primary or a secondary diagnosis, and to identify the most important factors in predicting 30-day readmission. Patients admitted with HF between 2014 and 2016 in the Nationwide Readmissions Database were included and divided into 2 cohorts: those admitted with a primary and secondary diagnosis of HF. Multivariable logistic regression was performed to predict 30-day readmission. Statistically significant predictors in multivariable logistic regression were used for dominance analysis to rank these factors by relative importance. Co-morbidities were the major driver of increased risk of 30-day readmission in both groups. Individual Elixhauser co-morbidities and the Elixhauser co-morbidity indexes were significantly associated with an increase in 30-day readmission. The 5 most important predictors of 30-day readmission according to dominance analysis were age, Elixhauser co-morbidity indexes of co-morbidity complications and readmission, number of diagnoses, and renal failure. These 5 factors accounted for 68% of the 30-day readmission risk. Measures of patient co-morbidities were among the strongest predictors of readmission risk. This study highlights the importance of expanding predictive models to include a broader set of clinical measures to create better-performing models of readmission risk for HF patients.

A Survey on Cone-beam Computed Tomography Usage Among Endodontists in the United States.

INTRODUCTION: The aim of the study was to investigate the accessibility and frequency of cone-beam computed tomography (CBCT) usage and to assess the economic and logistical factors involved with its usage among active American Association of Endodontists (AAE) members, utilizing a web-based survey. METHODS: A survey of 19 questions was sent to 3,071 AAE members addressing participant access to, along with financial and logistical aspects of CBCT imaging. Descriptive analysis was performed and Fisher exact test utilized to test associations between groups (P < .05). RESULTS: The overall response rate was 14.7% (n = 544). Ninety-five percent of respondents (n = 486) had an in-office CBCT unit, with those graduating after the year 2000 statistically more likely to have one (P < .05). Utilization of CBCT imaging for every case was reported by 40% of providers. Eighty-nine percent reported taking the scan at the consultation visit and 20% included this charge with the consultation fee. For those who charged for the scan separately, 85% charged more than $100. Providers who paid off their unit did so within 1-2 years (41%), 3-4 years (36%), 4-5 years (12%), and 5+ years (11%). Limited field of view was utilized by 95% of respondents. Fifty-eight percent reported interpreting the scans themselves, 38% send only if pathology is expected, and 3% always send their scans to a radiologist. CONCLUSIONS: In conclusion, accessibility and utilization of CBCT imaging among United States endodontists has increased and acquisition of this equipment has not made a long lasting financial burden on providers.

Parent-reported penicillin allergies in children: A qualitative study.

BACKGROUND: Penicillin allergies are commonly reported in children. Most reported penicillin allergies are false, resulting in the unnecessary selection of alternative antibiotic treatments that promote antibiotic resistance. While formal allergy testing is encouraged to establish a diagnosis of penicillin allergy, children are rarely referred for allergy testing, and study of parents' experiences and perceptions of their child's reported penicillin allergy is limited. We aimed to describe parents' experiences and perceptions of their child's penicillin allergy and attitudes towards penicillin allergy testing to identify opportunities to engage parents in antimicrobial stewardship efforts. METHODS: This was a qualitative descriptive study. RESULTS: Eighteen parents participated in this study. Parents' children were on average 2 years old when the index reaction occurred, and 7 years had passed since the reaction. Transcripts revealed that participants were receptive to penicillin allergy testing for their child after learning the consequences of penicillin allergy and availability of allergy testing. Four major themes emerged from data (1) parents' making sense of allergy; (2) parents' impressions of allergy label, (3) parents' attitudes towards allergy testing, and (4) parents' desire to be informed of testing availability. CONCLUSIONS: Efforts are needed to engage parents in addressing spuriously reported penicillin allergies.

Intentional Self-Harm Among US Veterans With Traumatic Brain Injury or Posttraumatic Stress Disorder: Retrospective Cohort Study From 2008 to 2017.

BACKGROUND: Veterans with a history of traumatic brain injury (TBI) and/or posttraumatic stress disorder (PTSD) may be at increased risk of suicide attempts and other forms of intentional self-harm as compared to veterans without TBI or PTSD. OBJECTIVE: Using administrative data from the US Veterans Health Administration (VHA), we studied associations between TBI and PTSD diagnoses, and subsequent diagnoses of intentional self-harm among US veterans who used VHA health care between 2008 and 2017. METHODS: All veterans with encounters or hospitalizations for intentional self-harm were assigned "index dates" corresponding to the date of the first related visit; among those without intentional self-harm, we randomly selected a date from among the veteran's health care encounters to match the distribution of case index dates over the 10-year period. We then examined the prevalence of TBI and PTSD diagnoses within the 5-year period prior to veterans' index dates. TBI, PTSD, and intentional self-harm were identified using International Classification of Diseases diagnosis and external cause of injury codes from inpatient and outpatient VHA encounters. We stratified analyses by veterans' average yearly VHA utilization in the 5-year period before their index date (low, medium, or high). Variations in prevalence and odds of intentional self-harm diagnoses were compared by veterans' prior TBI and PTSD diagnosis status (TBI only, PTSD only, and comorbid TBI/PTSD) for each VHA utilization stratum. Multivariable models adjusted for age, sex, race, ethnicity, marital status, Department of Veterans Affairs service-connection status, and Charlson Comorbidity Index scores. RESULTS: About 6.7 million veterans with at least two VHA visits in the 5-year period before their index dates were included in the analyses; 86,644 had at least one intentional self-harm diagnosis during the study period. During the periods prior to veterans' index dates, 93,866 were diagnosed with TBI only; 892,420 with PTSD only; and 102,549 with comorbid TBI/PTSD. Across all three VHA utilization strata, the prevalence of intentional self-harm diagnoses was higher among veterans diagnosed with TBI, PTSD, or TBI/PTSD than among veterans with neither diagnosis. The observed difference was most pronounced among veterans in the high VHA utilization stratum. The prevalence of intentional self-harm was six times higher among those with comorbid TBI/PTSD (6778/58,295, 11.63%) than among veterans with neither TBI nor PTSD (21,979/1,144,991, 1.92%). Adjusted odds ratios suggested that, after accounting for potential confounders, veterans with TBI, PTSD, or comorbid TBI/PTSD had higher odds of self-harm compared to veterans without these diagnoses. Among veterans with high VHA utilization, those with comorbid TBI/PTSD were 4.26 (95% CI 4.15-4.38) times more likely to receive diagnoses for intentional self-harm than veterans with neither diagnosis. This pattern was similar for veterans with low and medium VHA utilization. CONCLUSIONS: Veterans with TBI and/or PTSD diagnoses, compared to those with neither diagnosis, were substantially more likely to be subsequently diagnosed with intentional self-harm between 2008 and 2017. These associations were most pronounced among veterans who used VHA health care most frequently. These findings suggest a need for suicide prevention efforts targeted at veterans with these diagnoses.

Characterizing changes in student empathy throughout medical school.

BACKGROUND: Empathy is important in the physician-patient relationship. Prior studies suggest that medical student empathy declines with clinical training. AIMS: We examined the trend of empathy longitudinally; determined differences in empathy according to gender and medical specialty preferences; and determined empathy and career preference differences among students admitted through different medical school admission pathways. METHOD: The data for this study were collected using a longitudinal cohort design and included 2652 observations nested within 1162 individuals. Participants were medical students at a university-based medical school surveyed yearly from 2007 through 2010. Empathy was measured by the Jefferson Scale of Physician Empathy-Student Version (JSPE-S), a validated, 20-item self-administered questionnaire. Predictors of JSPE-S scores included gender, age, anticipated financial debt upon graduation and future career interest. RESULTS: Empathy scores of students in preclinical years were higher than in clinical years. Gender was a significant predictor of empathy, with women having higher empathy scores than men. Students preferring technology-oriented specialties had lower empathy scores. When career preference was controlled, higher levels of debt were significantly associated with greater empathy. Students with high baseline empathy decreased less than students with low baseline empathy during medical school. Students in traditional four-year medical school programs had higher baseline empathy than those in early pathway programs. CONCLUSIONS: Self-reported empathy for patients, a possibly critical factor in high-quality patient-centered care, wanes as students advance in clinical training, particularly among those entering technology-oriented specialties. In the era of new health care policy and primary care shortages, our research may have implications for the medical education system and admission policy.

The association of prescription opioid use with suicide attempts: An analysis of statewide medical claims data.

BACKGROUND: Suicides and opioid overdose deaths are among the most pressing public health concerns in the US. However direct evidence for the association between opioid use and suicidal behavior is limited. The objective of this article is to examine the association between frequency and dose of prescription opioid use and subsequent suicide attempts. METHODS AND FINDINGS: This retrospective cohort study analyzed 4 years of statewide medical claims data from the Connecticut All-Payer Claims Database. Commercially insured adult patients in Connecticut (n = 842,773) who had any medical claims beginning in January 2012 were followed through December 2015. The primary outcome was suicide attempt identified using International Classification of Diseases (ICD 9) diagnosis codes. Primary predictor variables included frequency of opioid use, which was defined as the number of months with claims for prescription opioids per year, and strength of opioid dose, which was standardized using morphine milligram equivalent (MME) units. We also controlled for psychiatric and medical comorbidities using ICD 9 codes. We used Cox proportional hazards regression to examine the association between frequency, dose, and suicide attempts, adjusting for medical and psychiatric comorbid conditions. Interactions among measures of opioid use and comorbid conditions were analyzed. In this cohort study with follow-up time up to 4 years (range = 2-48 months, median = 46 months), the hazard ratios (HR) from the time-to-event analysis indicated that patients prescribed opioid medications for at least 6 months during the past year and at 20-50 MME levels or higher had 4.44 (95% CI: [3.71, 5.32]) to 7.23 (95% CI: [6.22, 8.41]) times the risk of attempted suicide compared to those not prescribed opioids. Risk of suicide attempt was sharply elevated among patients with psychiatric conditions other than anxiety who were prescribed more frequent and higher opioid doses. In contrast, more frequent and higher doses of prescription opioids were associated with lower risk of suicide attempts among patients with medical conditions necessitating pain management. This study is limited by its exclusive focus on commercially insured patients and does not include patients covered by public insurance. It is also limited to patients' receipt of prescription opioids and does not take into account opioids obtained through other means, nor does it include measures of actual patient opioid use. CONCLUSIONS: This analysis provides evidence of a complex relationship among prescription opioids, mental health, pain and other medical comorbidities, and suicide risk. Findings indicate the need for proactive suicide surveillance among individuals diagnosed with affective or psychotic disorders who are receiving frequent and high doses of opioids. However, appropriate opioid treatment may have significant value in reducing suicide risk for those without psychiatric comorbidities.

Dos and Don'ts in Designing School-Based Awareness Programs for Suicide Prevention.

Background: Despite the promising evidence for the effectiveness of school-based awareness programs in decreasing the rates of suicidal thoughts and suicide attempts in young people, no guidelines on the targets and methods of safe and effective awareness programs exist. Aims: This study intends to distill recommendations for school-based suicide awareness and prevention programs from experts. Method: A three-stage Delphi survey was administered to an expert panel between November 2018 and March 2019. A total of 214 items obtained from open-ended questions and the literature were rated in two rounds. Consensus and stability were used as assessment criteria. Results: The panel consisted of 19 participants in the first and 13 in the third stage. Recommended targets included the reduction of suicide attempts, the enhancement of help-seeking and peer support, as well as the promotion of mental health literacy and life skills. Program evaluation, facilitating access to healthcare, and long-term action plans across multiple levels were among the best strategies for the prevention of adverse effects. Limitations: The study is based on opinions of a rather small number of experts. Conclusion: The promotion of help-seeking and peer support as well as facilitating access to mental health-care utilities appear pivotal for the success of school-based awareness programs.

Providing medical care to diverse populations: findings from a follow-up survey of Connecticut physicians.

OBJECTIVE: To compare physicians' perceptions of challenges to providing medical care to racially, ethnically, and culturallydiverse patients in Connecticut from 2009 and 2011. METHODS: Eight hundred forty-six practicing physicians in Connecticut representing 17 specialty areas completed a brief self-administered mail survey in the spring of 2009 (N=321) and 2011 (N=525). RESULTS: Survey responses in both study waves consistently showed that manyphysicians do not employbest practices for communicating with patients with limited English proficiency and do not tailor their discussions of health and health behavior to individual patients in a way that is culturally sensitive. However, substantial improvement in the numbers of physicians who had taken CME in managing patients from diverse backgrounds was observed in 2011 relative to 2009. Those participating in Care in Context in Care (CIC), a CSMS initiative to improve physician competence in providing culturallyappropriate care, appeared to be more sensitive to the needs of diverse patients. CONCLUSION: Findings from these studies suggest avenues for improving physicians' ability to provide culturally appropriate medical care.

Adoption of the medical home in Connecticut.

OBJECTIVE: To examine the implementation of key features of the medical home concept, with its emphasis on chronic care and disease management, care coordination, case management and timely access to care in Connecticut primary-care practices, and to examine predictors of its implementation in Connecticut. METHODS: Primary care physicians affiliated with the Connecticut Chapter of the American College of Physicians (n = 1088), the Connecticut Chapter of the American Academy of Pediatrics (n = 699), and the Connecticut Academy of Family Physicians (n = 376) were invited to participate in a brief online survey. Participation was limited to physicians who were actively engaged in primary-care medicine as determined by the respondent based on information provided as part of the survey. RESULTS: Four hundred ninty-eight primary-care physicians practicing in Connecticut completed the survey resulting in an overall response rate of 23%. In general, many of the core components of the medical home concept were not widely implemented yet in Connecticut. Most common were registries of patients with chronic diseases (33% of sample) and open or advanced access scheduling (57% of sample). Electronic medical records (EMR) systems were currently used by 39% of primary care physicians. Substantial differences by specialty were observed, with chronic disease registries and advanced/open access scheduling significantly less common among internists, and EMR systems significantly less common among pediatricians. The only factor consistently associated with increased likelihood of implementing the medical home concept was larger practice size (number of practicing physicians within the medical practice). Open or advanced access scheduling resulted in significantly shorter appointment wait times for patients. CONCLUSION: These results reveal that the adoption of the medical home model among Connecticut primary-care physicians remains in its infancy and suggests possible approaches to removing barriers to the implementation of the medical home model in Connecticut.

Connecticut 2009 Primary Care Survey: physician satisfaction, physician supply and patient access to medical care.

OBJECTIVE: To provide a more detailed evaluation of the attitudes and opinions of Connecticut's primary-care physicians, the practice environment in which care is provided, and how the evolving practice environment might affect the availability and quality of medical care in the state. METHODS: Primary-care physicians affiliated with the Connecticut Chapter of the American College of Physicians (n = 1088), the Connecticut Chapter of the American Academy of Pediatrics (n = 699), and the Connecticut Academy of Family Physicians (n = 376) were invited to participate in a brief online survey. Participation was limited to physicians who were actively engaged in primary-care medicine. RESULTS: Four hundred ninety-eight primary-care physicians practicing in Connecticut completed the survey resulting in an overall response rate of 23%. Primary-care physicians in Connecticut were generally satisfied with their careers in medicine, although 20% of respondents reported contemplating a career change because of the practice environment in the state. Statistically significant differences in satisfaction among primary-care specialists were observed, with pediatricians expressing greater satisfaction relative to family physicians and internists with hours worked, the Connecticut malpractice environment, level of administrative burden, income, and overall satisfaction. Analyses seeking to account for the greater levels of satisfaction among pediatricians relative to family physicians and internists identified income as a key explanatory factor. Problems related to access to care were also identified, with 23% of primary-care physicians reporting that they were not accepting new patients, and wait time for routine office visits for existing patients averaged 13.4 days. CONCLUSION: These data, combined with information from the US Census Bureau and the state licensure database, indicate that the potential new patient load tied to expanded insurance coverage under health reform may place a significant burden on primary-care physicians in Connecticut's urban areas and could overwhelm physicians in rural communities.

Age Differences in Racial/Ethnic Disparities in Preventable Hospitalizations for Heart Failure in Connecticut, 2009-2015: A Population-Based Longitudinal Study.

OBJECTIVE: Preventable hospitalizations for heart failure result in a large proportion of hospitalizations. The primary objective of this study was to describe longitudinal trends in the association of race/ethnicity with preventable hospitalizations for heart failure in Connecticut and differences in disparities by age. METHODS: We analyzed data on hospitalizations in all civilian acute-care hospitals in Connecticut during a 7-year period, 2009 through 2015. We used raking methodology to weight the nonhospitalized population to create a reference population representative of the state's general population. Multivariate regression models examined racial/ethnic disparities among adults aged 35-64, controlling for age, sex, and type of health insurance. For adults aged ≥65, regression models controlled for age and sex. RESULTS: After controlling for age and sex, the non-Hispanic black to non-Hispanic white odds ratio for preventable hospitalizations for heart failure ranged from 5.2-6.4 during the study period among adults aged 35-64. Among adults aged ≥65, non-Hispanic black adults had significantly higher odds (range, 1.2-1.8) of preventable hospitalizations than non-Hispanic white adults. Rates among Hispanic adults were significantly higher than rates among non-Hispanic adults after controlling for age and sex among adults aged ≥65 in 2014 and 2015. CONCLUSIONS: This research provides information for clinical and population-based interventions targeting racial/ethnic gaps in heart failure hospitalizations. Demonstrating the persistent black-white disparity and age differences in racial/ethnic disparities, this study emphasizes the need for focused prevention among vulnerable populations. Raking methodology is an innovative approach to eliminating selection bias in hospital discharge data.

Identifying risk factors for mortality among patients previously hospitalized for a suicide attempt.

Age-adjusted suicide rates in the US have increased over the past two decades across all age groups. The ability to identify risk factors for suicidal behavior is critical to selected and indicated prevention efforts among those at elevated risk of suicide. We used widely available statewide hospitalization data to identify and test the joint predictive power of clinical risk factors associated with death by suicide for patients previously hospitalized for a suicide attempt (N = 19,057). Twenty-eight clinical factors from the prior suicide attempt were found to be significantly associated with the hazard of subsequent suicide mortality. These risk factors and their two-way interactions were used to build a joint predictive model via stepwise regression, in which the predicted individual survival probability was found to be a valid measure of risk for later suicide death. A high-risk group with a four-fold increase in suicide mortality risk was identified based on the out-of-sample predicted survival probabilities. This study demonstrates that the combination of state-level hospital discharge and mortality data can be used to identify suicide attempters who are at high risk of subsequent suicide death.