Can subjective symptoms predict objective findings in gastroesophageal reflux disease patients?

INTRODUCTION: Medical therapy is the first-line treatment for gastroesophageal reflux disease, but surgical options are available and shown to be effective when medical management fails. There is no consensus for when a surgical evaluation is indicated. We set out to determine if the GERD-HRQL questionnaire scores correlate to objective findings found in patients undergoing anti-reflux surgery to predict when surgical consultation could be warranted. METHODS: A prospectively gathered database was used for patients undergoing anti-reflux surgery from January 2014 to September 2020. Inclusion criteria required a diagnosis of GERD and comprehensive esophageal workup with the GERD-HRQL questionnaire, EGD, esophageal manometry, and ambulatory pH monitoring. Analysis of the GERD-HRQL scores was compared to objective endpoints to see correlation and predictability. Logistic regression analysis was used to assess relationship between the presence of objective findings and GERD-HRQL questionnaire scores. RESULTS: There were 246 patients meeting inclusion criteria. There was no significant correlation between GERD-HRQL score and DeMeester score (correlation coefficient = 0.23), or presence of a hiatal hernia, regardless of size (p = 0.89). Patients with esophagitis had significantly higher average GERD-HRQL scores compared to those without esophagitis (40.1 ± 18.9 vs 30.4 ± 19.1, p < 0.0001). Patients with a score of 40 or greater had a 42% to 65% probability of having esophagitis versus a score of 30 or less, lowering the chances of having esophagitis to less than 35%. CONCLUSION: Usage of a GERD-HRQL questionnaire score can potentially show the correlation between subjective and objective findings in the workup of a patient for anti-reflux surgery. Specifically, patients with a GERD-HRQL score of 40 or greater have an increased probability of esophagitis compared to those with a score of 30 or less. Using these scores can help referring clinicians identify those patients failing medical therapy and allow for prompt referral for surgical evaluation.

Survey of Provider Transfusion Practices for Oncology Patients in an Academic Medical Center.

OBJECTIVES: Hospitalized oncology patients receive care from a variety of professionals, each of whom plays a role in decisions related to blood transfusions. We sought to examine differences in transfusion practices based on professional role, years of experience, and patient clinical scenario. METHODS: We surveyed general medicine residents, hospitalists, and oncologists caring for inpatients at a large academic medical center between August 2013 and June 2014. Respondents reported transfusion practices in three different patient scenarios: a generally healthy patient, a patient with solid tumor malignancy, and a patient with hematologic malignancy. We also assessed rationale for transfusion practices. Bivariate comparisons of respondent characteristics and transfusion threshold were conducted using the Fisher exact test. Multivariate logistic regression was performed to assess the relative relations among professional role, years in practice, clinical scenario, and transfusion threshold <7 g/dL. RESULTS: Of 158 physicians surveyed, 97 responded (61.4%). In bivariate analyses, fewer oncologists than residents or hospitalists used a threshold of <7 g/dL, but the result was significant for only one of three scenarios. The multivariate odds of transfusing at a threshold <7 g/dL were significantly higher among nononcologists (odds ratio [OR] 2.10, 95% confidence interval [CI] 1.03-4.28). Residents and practitioners in practice for <4 years also were more likely to use a threshold <7 g/dL (OR 1.82, 95% CI 0.99-3.33). Providers were less likely to use a restrictive threshold when an underlying malignancy was present (solid tumor OR 0.31, 95% CI 0.15-0.64; hematologic malignancy OR 0.34, 95% CI 0.16-0.70). CONCLUSIONS: Transfusion thresholds differed based on professional role, years in practice, and patient scenario. Further research is needed to determine the optimal transfusion threshold for oncology patients.

The impact of hospitalist discontinuity on hospital cost, readmissions, and patient satisfaction.

BACKGROUND: Achieving patient-physician continuity is difficult in the inpatient setting, where care must be provided continuously. Little is known about the impact of hospital physician discontinuity on outcomes. OBJECTIVE: To determine the association between hospital physician continuity and percentage change in median cost of hospitalization, 30-day readmission, and patient satisfaction with physician communication. DESIGN: Retrospective observational study using various multivariable models to adjust for patient characteristics. PARTICIPANTS: Patients admitted to a non-teaching hospitalist service in a large, academic, urban hospital between 6 July 2008 and 31 December 2011. MAIN MEASURES: We used two measures of continuity: the Number of Physicians Index (NPI), and the Usual Provider of Continuity (UPC) index. The NPI is the total number of unique physicians caring for a patient, while the UPC is calculated as the largest number of patient encounters with a single physician, divided by the total number of encounters. Outcome measures were percentage change in median cost of hospitalization, 30-day readmissions, and top box responses to satisfaction with physician communication. KEY RESULTS: Our analyses included data from 18,375 hospitalizations. Lower continuity was associated with modest increases in costs (range 0.9-12.6 % of median), with three of the four models used achieving statistical significance. Lower continuity was associated with lower odds of readmission (OR = 0.95-0.98 across models), although only one of the models achieved statistical significance. Satisfaction with physician communication was lower, with less continuity across all models, but results were not statistically significant. CONCLUSIONS: Hospital physician discontinuity appears to be associated with modestly increased hospital costs. Hospital physicians may revise plans as they take over patient care responsibility from their colleagues.

Project BOOST implementation: lessons learned.

OBJECTIVES: Enhancing care coordination and reducing hospital readmissions have been a focus of multiple quality improvement (QI) initiatives. Project BOOST (Better Outcomes by Optimizing Safe Transitions) aims to enhance the discharge transition from hospital to home. Previous research indicates that QI initiatives originating externally often face difficulties gaining momentum or effecting lasting change in a hospital. We performed a qualitative evaluation of Project BOOST implementation by examining the successes and failures experienced by six pilot sites. We also evaluated the unique physician mentoring component of this program. Finally, we examined the impact of intensification of the physician mentoring model on adoption of BOOST interventions in two later Illinois cohorts (27 hospitals). METHODS: Qualitative analysis of six pilot hospitals used a process of methodological triangulation and analysis of the BOOST enrollment applications, the listserv, and content from telephone interviews. Evaluation of BOOST implementation at Illinois hospitals occurred via mid-year and year-end surveys. RESULTS: The identified common barriers included inadequate understanding of the current discharge process, insufficient administrative support, lack of protected time or dedicated resources, and lack of frontline staff buy-in. Facilitators of implementation included the mentor, a small beginning, teamwork, and proactive engagement of the patient. Notably, hospitals viewed their mentors as essential facilitators of change. Sites consistently commented that the individualized mentoring was extremely helpful and provided significant accountability and stimulated creativity. In the Illinois cohorts, the improved mentoring model showed more complete implementation of BOOST interventions. CONCLUSIONS: The implementation of Project BOOST was well received by hospitals, although sites faced substantial barriers consistent with other QI research reports. The unique mentorship element of Project BOOST proved extremely valuable in helping sites overcome their distinctive challenges and identify facilitators for success. The findings from this qualitative study should contribute to future BOOST implementation success and others' efforts to optimize hospital discharge transitions.

"You get caught up": youth decision-making and violence.

Violence is a major cause of morbidity and mortality among adolescents. We conducted serial focus groups with 30 youth from a violence prevention program to discuss violence in their community. We identified four recurrent themes characterizing participant experiences regarding peer decision-making related to violence: (1) youth pursue respect, among other typical tasks of adolescence; (2) youth pursue respect as a means to achieve personal safety; (3) youth recognize pervasive risks to their safety, frequently focusing on the prevalence of firearms; and (4) as youth balance achieving respect in an unsafe setting with limited opportunities, they express conflict and frustration. Participants recognize that peers achieve peer-group respect through involvement in unsafe or unhealthy behavior including violence; however they perceive limited alternative opportunities to gain respect. These findings suggest that even very high risk youth may elect safe and healthy alternatives to violence if these opportunities are associated with respect and other adolescent tasks of development.

Assessing the risk of pH-dependent absorption for new molecular entities: a novel in vitro dissolution test, physicochemical analysis, and risk assessment strategy.

Weak base therapeutic agents can show reduced absorption or large pharmacokinetic variability when coadministered with pH-modifying agents, or in achlorhydria disease states, due to reduced dissolution rate and/or solubility at high gastric pH. This is often referred to as pH-effect. The goal of this study was to understand why some drugs exhibit a stronger pH-effect than others. To study this, an API-sparing, two-stage, in vitro microdissolution test was developed to generate drug dissolution, supersaturation, and precipitation kinetic data under conditions that mimic the dynamic pH changes in the gastrointestinal tract. In vitro dissolution was assessed for a chemically diverse set of compounds under high pH and low pH, analogous to elevated and normal gastric pH conditions observed in pH-modifier cotreated and untreated subjects, respectively. Represented as a ratio between the conditions, the in vitro pH-effect correlated linearly with clinical pH-effect based on the Cmax ratio and in a non-linear relationship based on AUC ratio. Additionally, several in silico approaches that use the in vitro dissolution data were found to be reasonably predictive of the clinical pH-effect. To explore the hypothesis that physicochemical properties are predictors of clinical pH-effect, statistical correlation analyses were conducted using linear sequential feature selection and partial least-squares regression. Physicochemical parameters did not show statistically significant linear correlations to clinical pH-effect for this data set, which highlights the complexity and poorly understood nature of the interplay between parameters. Finally, a strategy is proposed for implementation early in clinical development, to systematically assess the risk of clinical pH-effect for new molecular entities that integrates physicochemical analysis and in vitro, in vivo and in silico methods.

Interventions to reduce 30-day rehospitalization: a systematic review.

BACKGROUND: About 1 in 5 Medicare fee-for-service patients discharged from the hospital is rehospitalized within 30 days. Beginning in 2013, hospitals with high risk-standardized readmission rates will be subject to a Medicare reimbursement penalty. PURPOSE: To describe interventions evaluated in studies aimed at reducing rehospitalization within 30 days of discharge. DATA SOURCES: MEDLINE, EMBASE, Web of Science, and the Cochrane Library were searched for reports published between January 1975 and January 2011. STUDY SELECTION: English-language randomized, controlled trials; cohort studies; or noncontrolled before-after studies of interventions to reduce rehospitalization that reported rehospitalization rates within 30 days. DATA EXTRACTION: 2 reviewers independently identified candidate articles from the results of the initial search on the basis of title and abstract. Two 2-physician reviewer teams reviewed the full text of candidate articles to identify interventions and assess study quality. DATA SYNTHESIS: 43 articles were identified, and a taxonomy was developed to categorize interventions into 3 domains that encompassed 12 distinct activities. Predischarge interventions included patient education, medication reconciliation, discharge planning, and scheduling of a follow-up appointment before discharge. Postdischarge interventions included follow-up telephone calls, patient-activated hotlines, timely communication with ambulatory providers, timely ambulatory provider follow-up, and postdischarge home visits. Bridging interventions included transition coaches, physician continuity across the inpatient and outpatient setting, and patient-centered discharge instruction. LIMITATIONS: Inadequate description of individual studies' interventions precluded meta-analysis of effects. Many studies identified in the review were single-institution assessments of quality improvement activities rather than those with experimental designs. Several common interventions have not been studied outside of multicomponent "discharge bundles." CONCLUSION: No single intervention implemented alone was regularly associated with reduced risk for 30-day rehospitalization. PRIMARY FUNDING SOURCE: None.

A Suite of Mobile Conversational Agents for Daily Stress Management (Popbots): Mixed Methods Exploratory Study.

BACKGROUND: Approximately 60%-80% of the primary care visits have a psychological stress component, but only 3% of patients receive stress management advice during these visits. Given recent advances in natural language processing, there is renewed interest in mental health chatbots. Conversational agents that can understand a user's problems and deliver advice that mitigates the effects of daily stress could be an effective public health tool. However, such systems are complex to build and costly to develop. OBJECTIVE: To address these challenges, our aim is to develop and evaluate a fully automated mobile suite of shallow chatbots-we call them Popbots-that may serve as a new species of chatbots and further complement human assistance in an ecosystem of stress management support. METHODS: After conducting an exploratory Wizard of Oz study (N=14) to evaluate the feasibility of a suite of multiple chatbots, we conducted a web-based study (N=47) to evaluate the implementation of our prototype. Each participant was randomly assigned to a different chatbot designed on the basis of a proven cognitive or behavioral intervention method. To measure the effectiveness of the chatbots, the participants' stress levels were determined using self-reported psychometric evaluations (eg, web-based daily surveys and Patient Health Questionnaire-4). The participants in these studies were recruited through email and enrolled on the web, and some of them participated in follow-up interviews that were conducted in person or on the web (as necessary). RESULTS: Of the 47 participants, 31 (66%) completed the main study. The findings suggest that the users viewed the conversations with our chatbots as helpful or at least neutral and came away with increasingly positive sentiment toward the use of chatbots for proactive stress management. Moreover, those users who used the system more often (ie, they had more than or equal to the median number of conversations) noted a decrease in depression symptoms compared with those who used the system less often based on a Wilcoxon signed-rank test (W=91.50; Z=-2.54; P=.01; r=0.47). The follow-up interviews with a subset of the participants indicated that half of the common daily stressors could be discussed with chatbots, potentially reducing the burden on human coping resources. CONCLUSIONS: Our work suggests that suites of shallow chatbots may offer benefits for both users and designers. As a result, this study's contributions include the design and evaluation of a novel suite of shallow chatbots for daily stress management, a summary of benefits and challenges associated with random delivery of multiple conversational interventions, and design guidelines and directions for future research into similar systems, including authoring chatbot systems and artificial intelligence-enabled recommendation algorithms.

Association of hospital admission service structure with early transfer to critical care, hospital readmission, and length of stay.

BACKGROUND: Hospital medical groups use various staffing models that may systematically affect care continuity during the admission process. OBJECTIVE: To compare the effect of 2 hospitalist admission service models ("general" and "admitter-rounder") on patient disposition and length of stay. DESIGN: Retrospective observational cohort study with difference-in-difference analysis. SETTING: Large tertiary academic medical center in the United States. PARTICIPANTS: Patients (n = 19,270) admitted from the emergency department to hospital medicine and medicine teaching services from July 2010 to June 2013. INTERVENTIONS: Admissions to hospital medicine staffed by 2 different service models, compared to teaching service admissions. MEASUREMENTS: Incidence of transfer to critical care within the first 24 hours of hospitalization, hospital and emergency department length of stay, and hospital readmission rates ≤30 days postdischarge. RESULTS: The change of hospitalist services to an admitter-rounder model was associated with no significant change in transfer to critical care or hospital length of stay compared to the teaching service (difference-in-difference P = 0.32 and P = 0.87, respectively). The admitter-rounder model was associated with decreased readmissions compared to the teaching service on difference-in-difference analysis (odds ratio difference: -0.21, P = 0.01). Adoption of the hospitalist admitter-rounder model was associated with an increased emergency department length of stay compared to the teaching service (difference of +0.49 hours, P < 0.001). CONCLUSIONS: Rates of transfer to intensive care and overall hospital length of stay between the hospitalist admission models did not differ significantly. The hospitalist admitter-rounder admission service structure was associated with extended emergency department length of stay and a decrease in readmissions. Journal of Hospital Medicine 2016;11:669-674. © 2016 Society of Hospital Medicine.

Hospital-based violence intervention programs targeting adult populations: an Eastern Association for the Surgery of Trauma evidence-based review.

BACKGROUND: Violent injury and reinjury take a devastating toll on distressed communities. Many trauma centers have created hospital-based violent injury prevention programs (HVIP) to address psychosocial, educational, and mental health needs of injured patients that may contribute to reinjury. OBJECTIVES: To evaluate the overall effectiveness of HVIPs for violent injury prevention. We performed an evidence-based review to answer the following population, intervention, comparator, outcomes (PICO) question: Are HVIPs attending to adult patients (age 18+) treated for intentional injury more effective than the usual care at preventing: intentional violent reinjury and/or death; arrest and/or incarceration; substance abuse and/or mental issues; job and/or school attainment? DATA SOURCES: PubMed, Web of Science, Google Scholar, and the Cochrane Library were queried for salient articles by a professional librarian on two separate occasions, and related articles were identified from references. STUDY ELIGIBILITY CRITERIA PARTICIPANTS INTERVENTIONS: Eligible studies examined adult patients treated for intentional injury in a hospital-based violence prevention program compared to a control group. STUDY APPRAISAL AND SYNTHESIS METHODS: We used the Grading of Recommendations Assessment, Development, and Evaluation methodology to assess the breadth and quality of the evidence. RESULTS: 71 articles were identified. After discarding duplicates, reviews, and those articles that did not address our PICO questions, we ultimately reviewed 10 articles. We found insufficient evidence to recommend adult-focused HVIP interventions. LIMITATIONS: There was a relative paucity of data, and available studies were limited by self-selection bias and small sample sizes. CONCLUSIONS: We make no recommendation with respect to adult-focused HVIP interventions.

Patient, Caregiver, and Physician Work in Heart Failure Disease Management: A Qualitative Study of Issues That Undermine Wellness.

OBJECTIVE: To identify factors underlying heart failure hospitalization. METHODS: Between January 1, 2012, and May 31, 2012, we combined medical record reviews and cross-sectional qualitative interviews of multiple patients with heart failure, their clinicians, and their caregivers from a large academic medical center in the Midwestern United States. The interview data were analyzed using a 3-step grounded theory-informed process and constant comparative methods. Qualitative data were compared and contrasted with results from the medical record review. RESULTS: Patient nonadherence to the care plan was the most important contributor to hospital admission; however, reasons for nonadherence were complex and multifactorial. The data highlight the importance of patient education for the purposes of condition management, timeliness of care, and effective communication between providers and patients. CONCLUSION: To improve the consistency and quality of care for patients with heart failure, more effective relationships among patients, providers, and caregivers are needed. Providers must be pragmatic when educating patients and their caregivers about heart failure, its treatment, and its prognosis.

Effect of patient-centred bedside rounds on hospitalised patients' decision control, activation and satisfaction with care.

IMPORTANCE: Though interprofessional bedside rounds have been promoted to enhance patient-centred care for hospitalised patients, few studies have been conducted in adult hospital settings and evidence of impact is lacking. OBJECTIVE: To evaluate the effect of patient-centred bedside rounds (PCBRs) on measures of patient-centred care. DESIGN AND SETTING: Cluster randomised controlled trial involving four similar non-teaching hospitalist service units in a large urban hospital. PARTICIPANTS: Hospitalised general medical patients. INTERVENTION: We assembled working groups on two intervention units, consisting of professionals and patient/family members, to determine the optimal timing, duration and format for PCBR. Nurses and hospitalists rounded together in PCBR using a communication tool to provide a framework for discussion and unit leaders joined PCBR to provide coaching during initial weeks of implementation. MAIN OUTCOMES: Using patient interviews, we assessed preferred and experienced roles in medical decision-making using the Control Preferences Scale, activation using the Short Form of the Patient Activation Measure, and satisfaction. We also compared postdischarge patient satisfaction survey items related to teamwork, involvement in decisions and overall care. We assessed nurses', physicians' and advanced practice providers' (APP) perceptions of PCBR using a survey developed for this study. RESULTS: Overall, 650 patients were approached for structured interview during hospitalisation: 284 were excluded because of disorientation, 54 were excluded because of non-English language, 72 declined to participate and 4 withdrew from the study after enrolment. Interview data were available for 236 (122 control and 114 intervention unit) patients, and postdischarge satisfaction survey data were available for 493 (274 control and 219 intervention unit) patients. We found no significant differences in patients' perceptions of shared decision-making, activation or satisfaction with care. Results were similar in analyses based on whether PCBR had been performed (ie, per protocol). We also found no difference in postdischarge patient satisfaction items. Results were similar in multivariate analyses controlling for patient characteristics and clustering of patients within study units. A majority of nurses (78.6%), but only about half of hospitalist physicians and APPs felt that PCBR improved communication with patients (47.4%). A minority of nurses (46.4%) and physicians and APPs (36.8%) agreed that PCBR had improved the efficiency of their workday. CONCLUSIONS: PCBR had no impact on patients' perceptions of shared decision-making, activation or satisfaction with care. Additional research is needed to identify optimal approaches that can be reliably implemented in hospital settings to improve patient-centred care.

Impact of pharmacist involvement in the transitional care of high-risk patients through medication reconciliation, medication education, and postdischarge call-backs (IPITCH Study).

BACKGROUND: Previous data suggest that direct pharmacist interaction with patients through medication reconciliation, discharge counseling, and postdischarge phone calls decreases the number of adverse drug events (ADEs) and plays an overall positive role in transitional care. Previous studies have evaluated pharmacist involvement in improving transitional care, but these studies did not include multiple postdischarge follow-up phone calls. OBJECTIVES: The objectives of this study were to assess the impact of pharmacist involvement in transitions of care as measured by decreased medication errors (MEs) and ADEs, patients' knowledge related to communication about their medications as measured by improvement in the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) scores, and 30-day all-cause inpatient readmissions and emergency department (ED) visits. METHODS: This was a prospective, randomized, single-period longitudinal study that occurred from November 2012 through June 2013 at an urban, tertiary, academic medical center. Patients admitted to 2 designated internal medicine units on high-risk medications or with greater than 3 prescription medications upon discharge were included for randomization. The control group received the usual hospital standard of care. The study group received face-to-face medication reconciliation, a patient-specific pharmaceutical care plan, discharge counseling, and postdischarge phone calls on days 3, 14, and 30 to provide education and assess study endpoints. RESULTS: A total of 278 patients were included in the final analysis, with 141 in the control group and 137 in the study group. Fifty-five patients (39%) in the control arm experienced an inpatient readmission or ED visit within 30-days postdischarge compared to 34 patients (24.8%) in the study arm (P = 0.01). Eighteen patients (12.8%) in the control group experienced an ADEs or MEs compared to 11 patients (8%) in the study group (P > 0.05). The HCAHPS scores during the study period showed a 9% improvement for the assessed questionnaire domain (P > 0.05). CONCLUSIONS: This study demonstrated that pharmacist involvement in hospital discharge transitions of care had a positive impact on decreasing composite inpatient readmissions and ED visits. Statistically significant difference in medication-related events and HCAHPS scores were not observed. Patients with moderately complex medication regimens benefited from a continuity of care involving a pharmacy team during transitions in care.

The physician mentored implementation model: a promising quality improvement framework for health care change.

Quality improvement (QI) efforts hold great promise for improving care delivery. However, hospitals often struggle with QI implementation and fail to sustain improvement in either process changes or patient outcomes. Physician mentored implementation (PMI) is a novel approach that promotes the success and sustainability of QI initiatives at hospitals. It leverages the expertise of external physician mentors who coach QI teams to implement interventions at their local hospitals. The PMI model includes five core components: (1) a hospital self-assessment tool, (2) a face-to-face training session including direct interaction with a physician mentor, (3) a guided continuous quality improvement and systems approach, (4) yearlong individual physician mentoring, and (5) a learning community supported by a resource center, listserv, and webinars. Mentors provide content and process expertise, rather than offering "one-size-fits-all" technical assistance that might not be sustained after the mentoring year ends. Mentors support and motivate QI teams throughout the planning and implementation phases of their interventions, help to engage hospital leadership, garner local physician buy-in, and address institutional barriers. Mentors also guide hospitals to identify opportunities for the adaptation and customization of original evidence-based models of care while ensuring the fidelity of those models. More than 350 hospitals have used the PMI model to implement successful national and statewide QI initiatives. Academic medical centers are charged with improving the health of patients and reengineering care delivery; thus, they serve as the ideal source for physician mentors and can act as leaders in implementing QI projects using the PMI model.

The effect of hospitalist discontinuity on adverse events.

BACKGROUND: Patient-physician continuity is difficult to achieve in hospital settings because of the need to provide care continuously. The impact of hospital physician discontinuity on patient safety is unknown. OBJECTIVE: To determine the association between hospital physician continuity and the incidence of adverse events (AEs). DESIGN: Retrospective observational study using multivariable models to adjust for patient characteristics. PARTICIPANTS: Patients admitted to a nonteaching hospitalist service in a large academic hospital between March 1, 2009 and December 31, 2011. MAIN MEASURE(S): Two measures of continuity were used. The Number of Physicians Index (NPI) was the total number of unique hospitalists caring for a patient. The Usual Provider of Care (UPC) Index was the proportion of encounters with the most frequently encountered hospitalist. Outcome measures were AEs detected by automated queries of information systems and confirmed by 2 physician researchers. KEY RESULTS: Our analysis included data from 474 hospitalizations. In unadjusted models, each 1-unit increase in the NPI (ie, less continuity) was significantly associated with the incidence of 1 or more AEs (odds ratio = 1.75; P < 0.001). However, UPC was not associated with incidence of AEs. Across all adjusted models, neither NPI nor UPC was significantly associated with the incidence of AEs. The direction of the effect of discontinuity on AEs was also inconsistent across models. CONCLUSIONS: Hospitalist physician continuity does not appear to be associated with the incidence of AEs. Because hospital care is provided by teams of clinicians, future research should evaluate the impact of team complexity and dynamics on patient outcomes.

Outpatient follow-up after traumatic injury: Challenges and opportunities.

BACKGROUND: It has been shown that rates of ambulatory follow-up after traumatic injury are not optimal, but the association with insurance status has not been studied. AIMS: To describe trauma patient characteristics associated with completed follow-up after hospitalization and to compare relative rates of healthcare utilization across payor types. SETTING AND DESIGN: Single institution retrospective cohort study. MATERIALS AND METHODS: We compared patient demographics and healthcare utilization behavior after discharge among trauma patients between April 1, 2005 and April 1, 2010. Our primary outcome of interest was outpatient provider contact within 2 months of discharge. STATISTICAL ANALYSIS: Multivariate logistic regression was used to determine the association between characteristics including insurance status and subsequent ambulatory and acute care. RESULTS: We reviewed the records of 2906 sequential trauma patients. Patients with Medicaid and those without insurance were significantly less likely to complete scheduled outpatient follow-up within 2 months, compared to those with private insurance (Medicaid, OR 0.67, 95% CI 0.51-0.88; uninsured, OR 0.29, 95% CI 0.23-0.36). Uninsured and Medicaid patients were twice as likely as privately insured patients to visit the Emergency Department (ED) for any reason after discharge (uninsured patients (Medicaid, OR 2.6, 95% CI 1.50-4.53; uninsured, OR 2.10, 94% CI 1.31-3.36). CONCLUSION: We found marked differences between patients in scheduled outpatient follow-up and ED utilization after injury associated with insurance status; however, Medicaid seemed to obviate some of this disparity. Medicaid expansion may improve outpatient follow-up and affect patient outcome disparities after injury.

Illinois trauma centers and community violence resources.

BACKGROUND: Elder abuse and neglect (EAN), intimate partner violence (IPV), and street-based community violence (SBCV) are significant public health problems, which frequently lead to traumatic injury. Trauma centers can provide an effective setting for intervention and referral, potentially interrupting the cycle of violence. AIMS: To assess existing institutional resources for the identification and treatment of violence victims among patients presenting with acute injury to statewide trauma centers. SETTINGS AND DESIGN: We used a prospective, web-based survey of trauma medical directors at 62 Illinois trauma centers. Nonresponders were contacted via telephone to complete the survey. MATERIALS AND METHODS: This survey was based on a survey conducted in 2004 assessing trauma centers and IPV resources. We modified this survey to collect data on IPV, EAN, and SBCV. STATISTICAL ANALYSIS: Univariate and bivariate statistics were performed using STATA statistical software. RESULTS: We found that 100% of trauma centers now screen for IPV, an improvement from 2004 (P = 0.007). Screening for EAN (70%) and SBCV (61%) was less common (P < 0.001), and hospitals thought that resources for SBCV in particular were inadequate (P < 0.001) and fewer resources were available for these patients (P = 0.02). However, there was lack of uniformity of screening, tracking, and referral practices for victims of violence throughout the state. CONCLUSION: The multiplicity of strategies for tracking and referring victims of violence in Illinois makes it difficult to assess screening and tracking or form generalized policy recommendations. This presents an opportunity to improve care delivered to victims of violence by standardizing care and referral protocols.

Project BOOST: effectiveness of a multihospital effort to reduce rehospitalization.

BACKGROUND: Rehospitalization is a prominent target for healthcare quality improvement and performance-based reimbursement. The generalizability of existing evidence on best practices is unknown. OBJECTIVE: To determine the effect of Project BOOST (Better Outcomes for Older adults through Safe Transitions) on rehospitalization rates and length of stay. DESIGN: Semicontrolled pre-post study. SETTING/PARTICIPANTS: Volunteer sample of 11 hospitals varying in geography, size, and academic affiliation. INTERVENTION: Hospitals implemented Project BOOST-recommended tools supported by an external quality improvement physician mentor. METHODS: Pre-post changes in readmission rates and length of stay within BOOST units, and between BOOST units and site-designated control units. RESULTS: The average rate of 30-day rehospitalization in BOOST units was 14.7% prior to implementation and 12.7% 12 months later (P = 0.010), reflecting an absolute reduction of 2% and a relative reduction of 13.6%. Rehospitalization rates for matched control units were 14.0% in the preintervention period and 14.1% in the postintervention period (P = 0.831). The mean absolute reduction in readmission rates in BOOST units compared to control units was 2.0% (P = 0.054 for signed rank test comparing differences in readmission rate reduction in BOOST units compared to site-matched control units). CONCLUSIONS: Participation in Project BOOST appeared to be associated with a decrease in readmission rates.