Functional Outcomes and Health-Related Quality of Life Before and After Primary Total Knee Replacement for Patients From Diverse Geographic Regions.

BACKGROUND: The purpose of this study was to investigate whether patient-reported knee function and health status before and after primary total knee replacement (TKR) at an academic medical center differs among patients from diverse geographic regions. METHODS: We assessed patient-reported outcomes (PROs) as measured by the Oxford Knee Score (OKS) and EuroQoL-5D (EQ-5D) in 2855 TKR patients at preprimary and one year postprimary TKR procedure between January 1, 2012 and June 30, 2014. We compared the demographic characteristics, response rates, and changes in OKS, EQ-5D, and EQ visual analog scale among local, regional, and national patient groups. Patient- or hospital-related predictors of the postoperative scores were identified after controlling for preoperative scores on the PRO measures. RESULTS: Local patients had more comorbid conditions. Groups were similar in clinical outcomes such as length of stay at hospital, complication, and reoperation rates. Local, regional, and national patients had similar response rates and reported a similar level of knee function and health-related quality of life before and after TKR. Eighty nine percent had clinically important improvement on OKS, 69% on EQ-5D index, and 28% EQ visual analog scale, and there were no differences among groups in the proportions of clinically meaningful change. Better postoperative PRO scores were associated with older age, shorter hospital stay, fewer comorbidities, nonsmoking status, fewer complications, and private health insurance. CONCLUSION: Some patient characteristics such as comorbidities were greater in the local patient cohort versus the national cohort. Nevertheless, clinical outcomes and PROs were comparable across all geographic tiers.

Impact of Psychiatric Comorbidities on Health Care Costs Among Patients With Cancer.

BACKGROUND: Psychiatric disorders are common in cancer patients and impact outcomes. Impact on cancer care cost needs study to develop business case for psychosocial interventions. OBJECTIVE: To evaluate the impact of preexisting psychiatric comorbidities on total cost of care during 6 months after cancer diagnosis. METHODS: This retrospective cohort study examined patients diagnosed with cancer between January 1, 2009, and December 31, 2014, at one National Cancer Institute-designated cancer center. Patients who received all cancer treatment at the study site (6598 of 11,035 patients) were included. Patients were divided into 2 groups, with or without psychiatric comorbidity, based on International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes. Total costs of care during the first 6 months of treatment were based on standardized costs adjusted to 2014 dollars, determined by assigning Medicare reimbursement rates to professional billed services and applying appropriate cost-to-charge ratios. Quantile regression models with covariate adjustments were developed to assess the effect of psychiatric comorbidity across the distribution of costs. RESULTS: Six hundred ninety-eight (10.6%) of 6598 eligible patients had at least one psychiatric comorbidity. These patients had more nonpsychiatric Elixhauser comorbidities (mean 4 vs. 3). Unadjusted total cancer care costs were higher for patients with psychiatric comorbidity (mean [standard deviation]: $51,798 [$74,549] vs. $32,186 [$45,240]; median [quartiles]: $23,871 [$10,705-$57,338] vs. $19,073 [$8120-$38,230]). Quantile regression models demonstrated that psychiatric comorbidity had significant incremental effects at higher levels of cost: 75th percentile $8629 (95% confidence interval: $3617-13,642) and 90th percentile $42,586 (95% confidence interval: $25,843-59,330). CONCLUSIONS: Psychiatric comorbidities are associated with increased total cancer costs, especially in patients with very high cancer care costs, representing an opportunity to develop mitigation strategies.

Factors Associated With Minimally Invasive Surgery for Colorectal Cancer in Emergency Settings.

BACKGROUND: Minimally invasive surgery (MIS) is associated with improved colorectal cancer (CRC) outcomes, but it is used less frequently in emergency settings. We aimed to assess patient-level factors associated with emergency presentation for CRC and the use of MIS in emergency versus elective settings. METHODS: This retrospective study examined the clinical data of patients who underwent emergency and elective resections for CRC from 2013 to 2015 using the Florida Inpatient Discharge Dataset. Multivariable analyses were performed to assess differences in gender, age, race, urbanization, region, insurance, and clinical characteristics associated with mode of presentation and surgical approach. In-hospital mortality and length of stay by mode of presentation were recorded. RESULTS: Of 16,277 patients identified, 10,224 (61%) had elective surgery and 6503 (39%) had emergency surgery. Emergency presentations were more likely to be black (14.2% versus 9.5%), Hispanic (18.9% versus 15.4%), Medicaid-insured (9.7% versus 4.2%), and have metastatic cancer (34.4% versus 20.2%) or multiple comorbidities (12.6% versus 4.0%). MIS was the surgical approach in 31.8% of emergency cases versus 48.1% of elective cases. Factors associated with lower odds of MIS for emergencies include Medicaid (odds ratio (OR) 0.79, 95% confidence interval (CI) 0.63-0.99), metastases (OR 0.56, CI 0.5-0.63), and multiple comorbidities (OR 0.53, CI 0.4-0.7). Emergency cases experienced higher in-hospital mortality (3.7% versus 1.0%) and a longer median length of stay (10 d versus 5 d). CONCLUSIONS: Emergency CRC presentations are associated with racial minorities, Medicaid insurance, metastatic disease, and multiple comorbidities. Odds of MIS in emergency settings are lowest for patients with Medicaid insurance and highest clinical disease burden.

Which Readmissions May Be Preventable? Lessons Learned From a Posthospitalization Care Transitions Program for High-risk Elders.

BACKGROUND: Care transitions programs have been shown to reduce hospital readmissions. OBJECTIVES: The main objective of this study was to evaluate effects of the Mayo Clinic Care Transitions (MCCTs) Program on potentially preventable and nonpreventable 30-day unplanned readmissions among high-risk elders. RESEARCH DESIGN: This was a retrospective cohort study of patients enrolled in MCCT following hospitalization and propensity score-matched controls receiving usual primary care. SUBJECTS: The subjects were primary care patients, who were 60 years or older, at high-risk for readmission, and hospitalized for any cause between January 1, 2011 and June 30, 2013. MEASURES: Hospital readmission within 30 days. The 3M algorithm was used to identify potentially preventable readmissions. Readmissions for ambulatory care sensitive conditions, a subset of preventable readmissions identified by the 3M algorithm, were also assessed. RESULTS: The study cohort included 365 pairs of MCCT enrollees and propensity score-matched controls. Patients were similar in age (mean 83 y) and other baseline demographic and clinical characteristics, including reason for index hospitalization. MCCT enrollees had a significantly lower all-cause readmission rate [12.4% (95% confidence interval: CI, 8.9-15.7) vs. 20.1% (15.8-24.1); P=0.004] resulting from a decrease in potentially preventable readmissions [8.4% (95% CI, 5.5-11.3) vs. 14.3% (95% CI, 10.5-17.9); P=0.01]. Few potentially preventable readmissions were for ambulatory care sensitive conditions (6.7% vs. 12.0%). The rates of nonpotentially preventable readmissions were similar [4.3% (95% CI, 2.2-6.5) vs. 6.7% (95% CI, 4.0-9.4); P=0.16]. Potentially preventable readmissions were reduced by 44% (hazard ratio, 0.56; 95% CI, 0.36-0.88; P=0.01) with no change in other readmissions. CONCLUSIONS: The MCCT significantly reduces preventable readmissions, suggesting that access to multidisciplinary care can reduce readmissions and improve outcomes for high-risk elders.

ERAS protocol validation in a propensity-matched cohort of patients undergoing colorectal surgery.

PURPOSE: Enhanced recovery after surgery (ERAS) provides many benefits. However, important knowledge gaps with respect to specific components of enhanced recovery after surgery remain because of limited validation data. The aim of the study was to validate a mature ERAS protocol at a different hospital and in a similar population of patients. METHODS: This is a retrospective analysis of patients undergoing elective colorectal surgery from 2009 through 2016. Patients enrolled in ERAS are compared with those undergoing the standard of care. Patient demographic characteristics, length of stay, pain scores, and perioperative morbidity are described. RESULTS: Patients (1396) were propensity matched into two equal groups (ERAS vs non-ERAS). No significant difference was observed for age, Charlson Comorbidity Index, American Society of Anesthesiologists score, body mass index, sex, operative approach, and surgery duration. Median length of stay in ERAS and non-ERAS groups was 3 and 5 days (P < .001). Mean pain scores were lower in the ERAS group, measured at discharge from the postanesthesia unit (P < .001), on postoperative day 1 (P = .002) and postoperative day 2 (P = .02) but were identical on discharge. CONCLUSIONS: This ERAS protocol was validated in a similar patient population but at a different hospital. ERAS implementation was associated with an improved length of stay and pain scores similar to the original study. Different than most retrospective studies, propensity score matching ensured that groups were evenly matched. To our knowledge, this study is the only ERAS validation study in a propensity-matched cohort of patients undergoing elective colorectal surgery.

PROPER: Development of an Early Pediatric Intensive Care Unit Readmission Risk Prediction Tool.

OBJECTIVE: No risk prediction model is currently available to measure patient's probability for readmission to the pediatric intensive care unit (PICU). This retrospective case-control study was designed to assess the applicability of an adult risk prediction score (Stability and Workload Index for Transfer [SWIFT]) and to create a pediatric version (PRediction Of PICU Early Readmissions [PROPER]). DESIGN: Eighty-six unplanned early (<48 hours) PICU readmissions from January 07, 2007, to June 30, 2014, were compared with 170 random controls. Patient- and disease-specific data and PICU workload factors were compared across the 2 groups. Factors statistically significant on multivariate analysis were included in the creation of the risk prediction model. The SWIFT scores were calculated for cases and controls and compared for validation. RESULTS: Readmitted patients were younger, weighed less, and were more likely to be admitted from the emergency department. There were no differences in gender, race, or admission Pediatric Index of Mortality scores. A higher proportion of patients in the readmission group had a Pediatric Cerebral Performance Category in the moderate to severe disability category. Cases and controls did not differ with respect to staff workload at discharge or discharge day of the week; there was a much higher proportion of patients on supplemental oxygen in the readmission group. Only 2 of 5 categories in the SWIFT model were significantly different, and although the median SWIFT score was significantly higher in the readmissions group, the model discriminated poorly between cases and controls (area under the curve: 0.613). A 7-category PROPER score was created based on a multiple logistic regression model. Sensitivity of this model (score ≥12) for the detection of readmission was 81% with a positive predictive value of 0.50. CONCLUSION: We have created a preliminary model for predicting patients at risk of early readmissions to the PICU from the hospital floor. The SWIFT score is not applicable for predicting the risk for pediatric population.

PROACTIVE PROTOCOL-BASED MANAGEMENT OF HYPERGLYCEMIA AND DIABETES IN COLORECTAL SURGERY PATIENTS.

OBJECTIVE: The management of diabetic patients undergoing elective abdominal surgery continues to be unsystematic, despite evidence that standardized perioperative glycemic control is associated with fewer postoperative surgical complications. We examined the efficacy of a pre-operative diabetes optimization protocol implemented at a single institution in improving perioperative glycemic control with a target blood glucose of 80 to 180 mg/dL. METHODS: Patients with established and newly diagnosed diabetes who underwent elective colorectal surgery were included. The control group comprised 103 patients from January 1, 2011, through December 31, 2013, before protocol implementation. The glycemic-optimized group included 96 patients following protocol implementation from January 1, 2014, through July 31, 2016. Data included demographic information, blood glucose levels, insulin doses, hypoglycemic events, and clinical outcomes (length of stay, re-admissions, complications, and mortality). RESULTS: Patients enrolled in the glycemic optimization protocol had significantly lower glucose levels intra-operatively (145.0 mg/dL vs. 158.1 mg/dL; P = .03) and postoperatively (135.6 mg/dL vs. 145.2 mg/dL; P = .005). A higher proportion of patients enrolled in the protocol received insulin than patients in the control group (0.63 vs. 0.48; P = .01), but the insulin was administered less frequently (median [interquartile range] number of times, 6.0 [2.0 to 11.0] vs. 7.0 [5.0 to 11.0]; P = .04). Two episodes of symptomatic hypoglycemia occurred in the control group. There was no difference in clinical outcomes. CONCLUSION: Improved peri-operative glycemic control was observed following implementation of a standardized institutional protocol for managing diabetic patients undergoing elective colorectal surgery. ABBREVIATIONS: HbA1c = glycated hemoglobin A1c; IQR = interquartile range.

Detection of clinically important colorectal surgical site infection using Bayesian network.

BACKGROUND: Despite extensive efforts to monitor and prevent surgical site infections (SSIs), real-time surveillance of clinical practice has been sparse and expensive or nonexistent. However, natural language processing (NLP) and machine learning (i.e., Bayesian network analysis) may provide the methodology necessary to approach this issue in a new way. We investigated the ability to identify SSIs after colorectal surgery (CRS) through an automated detection system using a Bayesian network. MATERIALS AND METHODS: Patients who underwent CRS from 2010 to 2012 and were captured in our institutional American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) comprised our cohort. A Bayesian network was applied to detect SSIs using risk factors from ACS-NSQIP data and keywords extracted from clinical notes by NLP. Two surgeons provided expertise informing the Bayesian network to identify clinically meaningful SSIs (CM-SSIs) occurring within 30 d after surgery. RESULTS: We used data from 751 CRS cases experiencing 67 (8.9%) SSIs and 78 (10.4%) CM-SSIs. Our Bayesian network detected ACS-NSQIP-captured SSIs with a receiver operating characteristic area under the curve of 0.827, but this value increased to 0.892 when using surgeon-identified CM-SSIs. CONCLUSIONS: A Bayesian network coupled with NLP has the potential to be used in real-time SSI surveillance. Moreover, surgeons identified CM-SSI not captured under current NSQIP definitions. Future efforts to expand CM-SSI identification may lead to improved and potentially automated approaches to survey for postoperative SSI in clinical practice.

Developing a standardized healthcare cost data warehouse.

BACKGROUND: Research addressing value in healthcare requires a measure of cost. While there are many sources and types of cost data, each has strengths and weaknesses. Many researchers appear to create study-specific cost datasets, but the explanations of their costing methodologies are not always clear, causing their results to be difficult to interpret. Our solution, described in this paper, was to use widely accepted costing methodologies to create a service-level, standardized healthcare cost data warehouse from an institutional perspective that includes all professional and hospital-billed services for our patients. METHODS: The warehouse is based on a National Institutes of Research-funded research infrastructure containing the linked health records and medical care administrative data of two healthcare providers and their affiliated hospitals. Since all patients are identified in the data warehouse, their costs can be linked to other systems and databases, such as electronic health records, tumor registries, and disease or treatment registries. RESULTS: We describe the two institutions' administrative source data; the reference files, which include Medicare fee schedules and cost reports; the process of creating standardized costs; and the warehouse structure. The costing algorithm can create inflation-adjusted standardized costs at the service line level for defined study cohorts on request. CONCLUSION: The resulting standardized costs contained in the data warehouse can be used to create detailed, bottom-up analyses of professional and facility costs of procedures, medical conditions, and patient care cycles without revealing business-sensitive information. After its creation, a standardized cost data warehouse is relatively easy to maintain and can be expanded to include data from other providers. Individual investigators who may not have sufficient knowledge about administrative data do not have to try to create their own standardized costs on a project-by-project basis because our data warehouse generates standardized costs for defined cohorts upon request.

Inclusion of short-term care patients affects the perceived performance of specialists: a retrospective cohort study.

BACKGROUND: Current publicly reported quality performance measures directly compare primary care to specialty care. Specialists see short-term patients referred due to poor control of their disease who then return to their local provider. Our study looked to determine if outcomes measured in short-term care patients differed from those in long-term care patients and what impact those differences may have on quality performance profiles for specialists. METHODS: Retrospective cohort from a large academic medical Center. Performance was measured as "Optimal Care"--all or none attainment of goals. Patients with short-term care (<90 days contact) versus long-term care (>90 days contact) were evaluated for both specialty and primary care practices during the year 2008. RESULTS: Patients with short-term care had significantly lower "Optimal Care": 7.2% vs. 19.7% for optimal diabetes care in endocrinology and 41.3% vs. 53.1% for optimal ischemic vascular disease care in cardiology (p < 0.001). Combining short and long term care patients lowered overall perceived performance for the specialty practice. CONCLUSIONS: Factors other than quality affect the perceived performance of the specialty practice. Extending current primary care quality measurement to short-term specialty care patients without adjustment produces misleading results.

Association of hospital participation in a surgical outcomes monitoring program with inpatient complications and mortality.

IMPORTANCE: Programs that analyze and report rates of surgical complications are an increasing focus of quality improvement efforts. The most comprehensive tool currently used for outcomes monitoring in the United States is the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP). OBJECTIVE: To compare surgical outcomes experienced by patients treated at hospitals that did vs did not participate in the NSQIP. DESIGN, SETTING, AND PARTICIPANTS: Data from the University HealthSystem Consortium from January 2009 to July 2013 were used to identify elective hospitalizations representing a broad spectrum of elective general/vascular operations in the United States. Data on hospital participation in the NSQIP were obtained through review of semiannual reports published by the ACS. Hospitalizations at any hospital that discontinued or initiated participation in the NSQIP during the study period were excluded after the date on which that hospital's status changed. A difference-in-differences approach was used to model the association between hospital-based participation in NSQIP and changes in rates of postoperative outcomes over time. EXPOSURE: Hospital participation in the NSQIP. MAIN OUTCOMES AND MEASURES: Risk-adjusted rates of any complications, serious complications, and mortality during a hospitalization for elective general/vascular surgery. RESULTS: The cohort included 345,357 hospitalizations occurring in 113 different academic hospitals; 172,882 (50.1%) hospitalizations were in NSQIP hospitals. Hospitalized patients were predominantly female (61.5%), with a mean age of 55.7 years. The types of procedures performed most commonly in the analyzed hospitalizations were hernia repairs (15.7%), bariatric (10.5%), mastectomy (9.7%), and cholecystectomy (9.0%). After accounting for patient risk, procedure type, underlying hospital performance, and temporal trends, the difference-in-differences model demonstrated no statistically significant differences over time between NSQIP and non-NSQIP hospitals in terms of likelihood of complications (adjusted odds ratio, 1.00; 95% CI, 0.97-1.03), serious complications (adjusted odds ratio, 0.98; 95% CI, 0.94-1.03), or mortality (adjusted odds ratio, 1.04; 95% CI, 0.94-1.14). CONCLUSIONS AND RELEVANCE: No association was found between hospital-based participation in the NSQIP and improvements in postoperative outcomes over time within a large cohort of patients undergoing elective general/vascular operations at academic hospitals in the United States. These findings suggest that a surgical outcomes reporting system does not provide a clear mechanism for quality improvement.

Patient survival after surgical treatment of rectal cancer: impact of surgeon and hospital characteristics.

BACKGROUND: Surgeon and hospital factors are associated with the survival of patients treated for rectal cancer. The relative contribution of each of these factors toward determining outcomes is poorly understood. METHODS: We used data from the Surveillance, Epidemiology, and End Results-Medicare database to analyze the outcomes of patients aged 65 years and older undergoing operative treatment for nonmetastatic rectal cancer, diagnosed in the United States between 1998 and 2007. These data were linked to a registry to identify whether the treating surgeon was a board-certified colorectal surgeon versus a noncolorectal surgeon. Hospital volume and hospital certification as a National Cancer Institute-designated Comprehensive Cancer Centers were also analyzed. The primary outcome of interest was long-term survival. RESULTS: Our data source yielded 6432 patients. Initial analysis demonstrated improved long-term survival in patients treated by higher-volume colorectal surgeons, higher-volume hospitals, teaching hospitals, and National Cancer Institute (NCI)-designated Comprehensive Cancer Centers. Based on an iterative approach to modeling the interactions between these various factors, we found a robust effect of surgeon subspecialty status, hospital volume, and NCI designation. Surgeon volume was not distinctly associated with long-term survival. CONCLUSIONS: Patients treated for rectal cancer by board-certified colorectal surgeons in centers that are higher volume and/or NCI-designated Comprehensive Cancer Centers experience better overall survival. These differences persist after adjustment for a broad range of patient and contextual risk factors, including surgeon volume. Patients and payers can use these results to identify surgeons and hospitals where outcomes are most favorable.

Evaluating implementation of a rapid response team: considering alternative outcome measures.

OBJECTIVE: Determine the prolonged effect of rapid response team (RRT) implementation on failure to rescue (FTR). DESIGN: Longitudinal study of institutional performance with control charts and Bayesian change point (BCP) analysis. SETTING: Two academic hospitals in Midwest, USA. PARTICIPANTS: All inpatients discharged between 1 September 2005 and 31 December 2010. INTERVENTION: Implementation of an RRT serving the Mayo Clinic Rochester system was phased in for all inpatient services beginning in September 2006 and was completed in February 2008. MAIN OUTCOME MEASURE: Modified version of the AHRQ FTR measure, which identifies hospital mortalities among medical and surgical patients with specified in-hospital complications. RESULTS: A decrease in FTR, as well as an increase in the unplanned ICU transfer rate, occurred in the second-year post-RRT implementation coinciding with an increase in RRT calls per month. No significant decreases were observed pre- and post-implementation for cardiopulmonary resuscitation events or overall mortality. A significant decrease in mortality among non-ICU discharges was identified by control charts, although this finding was not detected by BCP or pre- vs. post-analyses. CONCLUSIONS: Reduction in the FTR rate was associated with a substantial increase in the number of RRT calls. Effects of RRT may not be seen until RRT calls reach a sufficient threshold. FTR rate may be better at capturing the effect of RRT implementation than the rate of cardiac arrests. These results support prior reports that short-term studies may underestimate the impact of RRT systems, and support the need for ongoing monitoring and assessment of outcomes to facilitate best resource utilization.

Obesity increases length of stay and direct medical costs in total hip arthroplasty.

BACKGROUND: The number of obese patients undergoing THA is increasing. Previous studies have shown that obesity is associated with an increased likelihood of complications after THA, but there is little information regarding the impact of obesity on medical resource use and direct medical costs in THA. QUESTIONS/PURPOSES: We sought to examine the relationship between obesity, length of stay, and direct medical costs in a large cohort of patients undergoing THAs. METHODS: The study included 8973 patients who had undergone 6410 primary and 2563 revision THAs at a large US medical center between January 1, 2000, and September 31, 2008. Patients with bilateral procedures within 90 days after index admission and patients with acute trauma were excluded. Data regarding clinical, surgical characteristics, and complications were obtained from the original medical records and the institutional joint registry. Patients were classified into eight groups based on their BMI at the time of surgery. Direct medical costs were calculated by using standardized, inflation-adjusted costs for services and procedures billed during hospitalization and the 90-day window. Study end points were hospital length of stay, direct medical costs during hospitalization, and the 90-day window. End points were compared across the eight BMI categories in multivariable risk-adjusted linear regression models. RESULTS: Mean length of stay and the direct medical costs were lowest for patients with a BMI of 25 to 35 kg/m(2). Increasing BMI was associated with longer hospital stays and costs. Every five-unit increase in BMI beyond 30 kg/m(2) was associated with approximately USD $500 higher hospital costs and USD $900 higher 90-day costs in primary THA (p = 0.0001), which corresponded to 5% higher costs. The cost increase associated with BMI was greater in the revision THA cohort where every five-unit increase in BMI beyond 30 kg/m(2) was associated with approximately USD $800 higher hospital costs and USD $1500 higher 90-day costs. These estimates remained unchanged after adjusting for comorbidities or complications. CONCLUSIONS: Obesity is associated with longer hospital stays and higher costs in THA. The significant effect of obesity on costs persists even among patients without comorbidities but the increased costs associated with obesity may be balanced by the potential benefits of THA in the obese. Increasing prevalence of obesity likely contributes to the increasing financial burden of THA worldwide. LEVEL OF EVIDENCE: Level IV, economic and decision analyses. See the Instructions for Authors for a complete description of levels of evidence.

Determinants of direct medical costs in primary and revision total knee arthroplasty.

BACKGROUND: TKA procedures are increasing rapidly, with substantial cost implications. Determining cost drivers in TKA is essential for care improvement and informing future payment models. QUESTIONS/PURPOSES: We determined the components of hospitalization and 90-day costs in primary and revision TKA and the role of demographics, operative indications, comorbidities, and complications as potential determinants of costs. METHODS: We studied 6475 primary and 1654 revision TKA procedures performed between January 1, 2000, and September 31, 2008, at a single center. Direct medical costs were measured by using standardized, inflation-adjusted costs for services and procedures billed during the 90-day period. We used linear regression models to determine the cost impact associated with individual patient characteristics. RESULTS: The largest proportion of costs in both primary and revision TKA, respectively, were for room and board (28% and 23%), operating room (22% and 17%), and prostheses (13% and 24%). Prosthesis costs were almost threefold higher in revision TKA than in primary TKA. Revision TKA procedures for infections and bone and/or prosthesis fractures were approximately 25% more costly than revisions for instability and loosening. Several common comorbidities were associated with higher costs. Patients with vascular and infectious complications had longer hospital stays and at least 80% higher 90-day costs as compared to patients without complications. CONCLUSIONS: High prosthesis costs in revision TKA represent a factor potentially amenable to cost containment efforts. Increased costs associated with demographic factors and comorbidities may put providers at financial risk and may jeopardize healthcare access for those patients in greatest need.

The asthma ePrompt: a novel electronic solution for chronic disease management.

OBJECTIVE: This study tested the ability of an electronic prompt to promote an asthma assessment during primary care visits. METHODS: We performed a prospective study of all eligible adult patients with previously diagnosed asthma in three geographically distinct ambulatory family medicine clinics within a 4-month period. The usual clinic visit process was performed at two geographically distinct control sites (n = 75 and n = 55 patients, respectively). The intervention group site (n = 64) had an electronic flag embedded in the Patient Check-in Locator field which prompted the distribution of a self-administered Asthma Management Questionnaire (AMQ) in the waiting room. The primary outcome measure was a documented asthma severity assessment. RESULTS: The front desk distributed the AMQ successfully in 100% of possible opportunities and the AMQ was completed by 84% of patients. Providers in the intervention group were significantly more likely than providers in the two non-intervention groups to document asthma severity in the medical record during a non-asthma ambulatory clinic visit (63.3% vs. 18.7% vs. 3.6%; p < .001). CONCLUSION: The provision of standardized asthma information triggered by an electronic prompt at the time of check-in effectively initiates an asthma assessment during the primary care visits.

Association between value-based purchasing score and hospital characteristics.

BACKGROUND: Medicare hospital Value-based purchasing (VBP) program that links Medicare payments to quality of care will become effective from 2013. It is unclear whether specific hospital characteristics are associated with a hospital's VBP score, and consequently incentive payments.The objective of the study was to assess the association of hospital characteristics with (i) the mean VBP score, and (ii) specific percentiles of the VBP score distribution. The secondary objective was to quantify the associations of hospital characteristics with the VBP score components: clinical process of care (CPC) score and patient satisfaction score. METHODS: Observational analysis that used data from three sources: Medicare Hospital Compare Database, American Hospital Association 2010 Annual Survey and Medicare Impact File. The final study sample included 2,491 U.S. acute care hospitals eligible for the VBP program. The association of hospital characteristics with the mean VBP score and specific VBP score percentiles were assessed by ordinary least square (OLS) regression and quantile regression (QR), respectively. RESULTS: VBP score had substantial variations, with mean score of 30 and 60 in the first and fourth quartiles of the VBP score distribution. For-profit status (vs. non-profit), smaller bed size (vs. 100-199 beds), East South Central region (vs. New England region) and the report of specific CPC measures (discharge instructions, timely provision of antibiotics and beta blockers, and serum glucose controls in cardiac surgery patients) were positively associated with mean VBP scores (p<0.01 in all). Total number of CPC measures reported, bed size of 400-499 (vs. 100-199 beds), a few geographic regions (Mid-Atlantic, West North Central, Mountain and Pacific) compared to the New England region were negatively associated with mean VBP score (p<0.01 in all). Disproportionate share index, proportion of Medicare and Medicaid days to total inpatient days had significant (p<0.01) but small effects. QR results indicate evidence of differential effects of some of the hospital characteristics across low-, medium- and high-quality providers. CONCLUSIONS: Although hospitals serving the poor and the elderly are more likely to score lower under the VBP program, the correlation appears small. Profit status, geographic regions, number and type of CPC measures reported explain the most variation among scores.

Who is counseled to lose weight? Survey results and anthropometric data from 3,149 lower socioeconomic women.

Because obesity is a grave public health concern, this study examined the percentage of disadvantaged women who recalled ever having received weight loss advice from a healthcare provider and factors associated with such advice. This study was part of a 5-clinic, cervical cancer prevention trial. Patients not immediately post-partum completed a Spanish/English survey; height and weight were also obtained. Of the 3,149 respondents (response rate 83%), 2,138 (68%) were overweight or obese (body mass index (BMI) ≥ 25); 94% reported a household income of <$35,000/year; 69% were Hispanic; 10% non-Hispanic black; and 40% completed the survey in Spanish. Only one-third reported ever having been told to lose weight. Based on BMI, these rates were 15% in the 25-29.9 range (overweight); 34% within 30-34.9; 57% within 35-39.9; and 73% ≥ 40. In univariate analyses, among overweight women, diabetes or English-speaking was associated with weight loss advice. In multivariate analyses, being older, more educated, and diabetic were associated with such advice. 48% of non-Hispanic whites, 31% of non-Hispanic blacks, and 29% of Hispanic had a home scale. Among disadvantaged women, obesity alone does not determine who recalls weight loss advice. Language barriers and lack of a home scale merit further study to address obesity.

All at-risk patients are not created equal: analysis of Braden pressure ulcer risk scores to identify specific risks.

PURPOSE: To improve identification of risk factors for pressure ulcer development and enhance targeted interventions and prevention strategies. SUBJECTS AND SETTING: The records of 12,566 adult patients hospitalized in intensive or progressive care units within Mayo Clinic were analyzed. Inclusion criteria were Braden Scale of 18 or less during the hospitalization; exclusion criteria were preexisting pressure ulcer or length of stay less than 24 hours. METHODS: This study is a retrospective cohort analysis of electronic medical record data from January 1, 2007, to December 31, 2007. Only iatrogenic stage 2 to 4 pressure ulcers were considered as incident events. Demographic and clinical data were extracted from the medical record, including total Braden Scale score and Braden subscale scores at hospital admission, length of stay, admission to the intensive care unit at the time of hospitalization, and presence of acute respiratory failure, acute renal failure, or diabetes. Time to event was calculated based on time from admission to pressure ulcer occurrence or to hospital discharge. RESULTS: Four hundred sixteen (3.3%) of patients developed a pressure ulcer during their hospitalizations. The Braden Scale score total by itself was found to be highly predictive of pressure ulcer development (P ≤ .0001, C = 0.71), as were all individual subscores. The friction/shear subscale had the greatest predictive power among Braden Scale scores (subscores and total score) (C = 0.83). The multivariate model after selection included 5 Braden Scale subscales, surgery, and acute respiratory failure (C = 0.91). CONCLUSIONS: The total Braden Scale score is predictive of pressure ulcer development but does not assist the clinician to develop an individualized targeted prevention plan. In contrast, the use of subscale scores can enhance prevention programs and resource utilization by focusing care on the risk factors specific to the individual patient.

Association Between Preventive Dental Care and Healthcare Cost for Enrollees With Diabetes or Coronary Artery Disease: 5-Year Experience.

BACKGROUND: Evidence of preventive dental care impacting healthcare costs among diabetes or coronary artery disease (CAD) patients is sparse. METHODS: This study examined the association between healthcare costs and adherence with preventive dental care protocols among diabetes and CAD patients in a dental plan affiliated with a large commercial health plan in Arkansas. These patients were auto-enrolled in a program with additional benefits at no cost, and support from medical and dental care management teams was evaluated. All-cause cost was defined as the total amount paid by the health plan. RESULTS: Adherence with preventive dental care was associated with significant average yearly cost savings. The ranges of these savings were progressively higher for patients with only diabetes ($515 to $574), only CAD ($548 to $675), and CAD + diabetes ($866 to $1,718). Most of these savings originated in costs associated with inpatient admissions, which were between 25% and 36% for all disease classifications for all years. CONCLUSIONS: Preventive dental care is strongly associated with significant savings for diabetes and CAD patients, and such savings were highest for diabetes + CAD patients, followed by patients with only CAD and only diabetes. PRACTICAL IMPLICATIONS: Health plans should include dental coverage in their benefits package and incentivize adherence with preventive dental care to improve health and lower costs for enrollees with diabetes and CAD.