Factors That Predict Short-term Complication Rates After Total Hip Arthroplasty

Background: There remains uncertainty regarding the relative importance of patient factors such as comorbidity and provider factors such as hospital volume in predicting complication rates after total hip arthroplasty (THA). Purpose: We therefore identified patient and provider factors predicting complications after THA. Methods: We reviewed discharge data from 138,399 patients undergoing primary THA in California from 1995 to 2005. The rate of complications during the first 90 days postoperatively (mortality, infection, dislocation, revision, perioperative fracture, neurologic injury, and thromboembolic disease) was regressed against a variety of independent variables, including patient factors (age, gender, race/ethnicity, income, Charlson comorbidity score) and provider variables (hospital volume, teaching status, rural location). Results: Compared with patients treated at high-volume hospitals (above the 20th percentile), patients treated at low-volume hospitals (below the 60th percentile) had a higher aggregate risk of having short-term complications (odds ratio, 2.00). A variety of patient factors also had associations with an increased risk of complications: increased Charlson comorbidity score, diabetes, rheumatoid arthritis, advanced age, male gender, and black race. Hispanic and Asian patients had lower risks of complications. Conclusions: Patient and provider characteristics affected the risk of a short-term complication after THA. These results may be useful for educating patients and anticipating perioperative risks of THA in different patient populations. Level of Evidence: Level II, prognostic study. See Guidelines for Authors for a complete description of levels of evidence. © 2010 The Author(s)

Changes over time in POLST use and content by race and ethnicity among California nursing home residents.

BACKGROUND: Physician Orders for Life-Sustaining Treatment (POLST) are commonly used for nursing home (NH) residents. Treatment orders differ across race and ethnicity, presumably related to cultural and socioeconomic variation and levels of access to care and trust. Because national efforts focus on addressing the underpinnings of racial and ethnic differences in treatment (i.e., access to care and trust), we describe POLST use and content by race and ethnicity. METHODS: California requires NHs to document POLST completion and content in the Minimum Data Set. We describe POLST completion and content for all California NH residents from 2011 to 2016 (N = 1,120,376). Adjusting for resident characteristics, we compared changes in completion rate and differences by race and ethnicity in POLST content-orders for cardiopulmonary resuscitation (CPR), do not resuscitate (DNR), CPR with full treatment, DNR with selective treatment or comfort orders, and if unsigned. RESULTS: POLST completion increased across all racial and ethnic groups from 2011 to 2016; by 2016, NH residents had a POLST two-thirds or more of the time. In 2011, Black residents had a POLST with a CPR order 30.4% of the time, Hispanic residents 25.6%, and White residents 19.7%. By 2016, this grew to 42.5%, 38.2%, and 28.1%, respectively, with Black and Hispanic residents demonstrating larger increases than White residents (p < 0.001). Increases over time in POLST with CPR and full treatment were greater for Black and Hispanic residents compared to White residents. The increase in POLST with DNR and DNR with Selective treatment and Comfort orders was greater for White compared to Black patients (p < 0.001). Unsigned POLST with CPR and DNR orders decreased across all racial and ethnic groups. CONCLUSIONS: Racial and ethnic differences in POLST intensity of care orders increased between 2011 and 2016 suggesting that efforts to mitigate factors underlying differences were ineffective. Studies of newer POLST data are imperative

Care preferences in physician orders for life sustaining treatment in California nursing homes.

BACKGROUND: Physician Orders for Life-Sustaining Treatment (POLST) facilitates documentation and transition of patients life-sustaining treatment orders across care settings. Little is known about patient and facility factors related to care preferences within POLST across a large, diverse nursing home population. We describe the orders within POLST among all nursing home (NH) residents in California from 2011 to 2016. METHODS: California requires NHs to document in the Minimum Data Set whether residents complete a POLST and orders within POLST. Using a serial cross-sectional design for each year, we describe POLST completion and orders for all California NH residents from 2011 to 2016 (N = 1,112,668). We used logistic mixed-effects regression models to estimate POLST completion and resuscitation orders to understand the relationship with resident and facility characteristics, including Centers for Medicare and Medicaid Services (CMS) Nursing Home Compare overall five-star quality rating. RESULTS: POLST completion significantly increased from 2011 to 2016 with most residents having a POLST in 2016 (short-stay:68%; long-stay:81%). Among those with a POLST in 2016, 54% of long-stay and 41% of short-stay residents had a DNR order. Among residents with DNR, >90% had orders for limited medical interventions or comfort measures. Few residents (<6%) had a POLST with contradictory orders. In regression analyses, POLST completion was greater among residents with more functional dependence, but was lower among those with more cognitive impairment. Greater functional and cognitive impairment were associated with DNR orders. Racial and ethnic minorities indicated more aggressive care preferences. Higher CMS five-star facility quality rating was associated with greater POLST completion. CONCLUSIONS: Six years after a state mandate to document POLST completion in NHs, most California NH residents have a POLST, and about half of long-stay residents have orders to limit life-sustaining treatment. Future work should focus on determining the quality of care preference decisions documented in POLST

Disproportionate-Share Hospital Payment Reductions May Threaten The Financial Stability Of Safety-Net Hospitals

Safety-net hospitals rely on disproportionate-share hospital (DSH) payments to help cover uncompensated care costs and underpayments by Medicaid (known as Medicaid shortfalls). The Affordable Care Act (ACA) anticipates that insurance expansion will increase safety-net hospitals' revenues and will reduce DSH payments accordingly. We examined the impact of the ACA's Medicaid DSH reductions on California public hospitals' financial stability by estimating how total DSH costs (uncompensated care costs and Medicaid shortfalls) will change as a result of insurance expansion and the offsetting DSH reductions. Decreases in uncompensated care costs resulting from the ACA insurance expansion may not match the act's DSH reductions because of the high number of people who will remain uninsured, low Medicaid reimbursement rates, and medical cost inflation. Taking these three factors into account, we estimate that California public hospitals' total DSH costs will increase from $2.044 billion in 2010 to$2.363-$2.503 billion in 2019, with unmet DSH costs of$1.381-$1.537 billion

Age stratified, perioperative, and one-year mortality after abdominal aortic aneurysm repair: A statewide experience

ObjectiveThe purpose of this study was to determine the in-hospital, 30-day, and 365-day mortality for the open repair of abdominal aortic aneurysms (AAAs), when stratified by age, in the general population. Age stratification could provide clinicians with information more applicable to an individual patient than overall mortality figures.MethodsIn a retrospective analysis, data were obtained from the California Office of Statewide Health Planning and Development (OSHPD) for the years 1995 to 1999. Out-of-hospital mortality was determined via linkage to the state death registry. All patients undergoing AAA repair as coded by International Classification of Diseases, 9th Revision (ICD-9) procedure code 38.44 and diagnosis codes 441.4 (intact) and 441.3/441.5 (ruptured) in California were identified. Patients <50 years of age were excluded. We determined in-hospital, 30-day, and 365-day mortality, and stratified our findings by patient age. Multivariate logistic regression was used to determine predictors of mortality in the intact and ruptured AAA cohorts.ResultsWe identified 12,406 patients (9,778 intact, 2,628 ruptured). Mean patient age was 72.4 ± 7.2 years (intact) and 73.9 ± 8.2 (ruptured). Men comprised 80.9% of patients, and 90.8% of patients were white. Overall, intact AAA patient mortality was 3.8% in-hospital, 4% at 30 days, and 8.5% at 365 days. There was a steep increase in mortality with increasing age, such that 365-day mortality increased from 2.9% for patients 51 to 60 years old to 15% for patients 81 to 90 years old. Mortality from day 31 to 365 was greater than both in-hospital and 30-day mortality for all but the youngest intact AAA patients. Perioperative (in-hospital and 30-day) mortality for ruptured cases was 45%, and mortality at 1 year was 54%.ConclusionsThere is continued mortality after the open repair of AAAs during postoperative days 31 to 365 that, for many patients, is greater than the perioperative death rate. This mortality increases dramatically with age for both intact and ruptured AAA repair

Assessing Quality of Care of Elderly Patients Using the ACOVE Quality Indicator Set: A Systematic Review

Background: Care of the elderly is recognized as an increasingly important segment of health care. The Assessing Care Of Vulnerable Elderly (ACOVE) quality indicators (QIs) were developed to assess and improve the care of elderly patients. Objectives: The purpose of this review is to summarize studies that assess the quality of care using QIs from or based on ACOVE, in order to evaluate the state of quality of care for the reported conditions. Methods: We systematically searched MEDLINE, EMBASE and CINAHL for English-language studies indexed by February 2010. Articles were included if they used any ACOVE QIs, or adaptations thereof, for assessing the quality of care. Included studies were analyzed and relevant information was extracted. We summarized the results of these studies, and when possible generated an overall conclusion about the quality of care as measured by ACOVE for each condition, in various settings, and for each QI. Results: Seventeen studies were included with 278 QIs (original, adapted or newly developed). The quality scores showed large variation between and within conditions. Only a few conditions showed a stable pass rate range over multiple studies. Overall, pass rates for dementia (interquartile range (IQR): 11%-35%), depression (IQR: 27%-41%), osteoporosis (IQR: 34%-43%) and osteoarthritis (IQR: 29-41%) were notably low. Medication management and use (range: 81%-90%), hearing loss (77%-79%) and continuity of care (76%-80%) scored higher than other conditions. Out of the 278 QIs, 141 (50%) had mean pass rates below 50% and 121 QIs (44%) had pass rates above 50%. Twenty-three percent of the QIs scored above 75%, and 16% scored below 25%. Conclusions: Quality of care per condition varies markedly across studies. Although there has been much effort in improving the care for elderly patients in the last years, the reported quality of care according to the ACOVE indicators is still relatively lo

Quality and complexity measures for data linkage and deduplication

Summary. Deduplicating one data set or linking several data sets are increasingly important tasks in the data preparation steps of many data mining projects. The aim of such linkages is to match all records relating to the same entity. Research interest in this area has increased in recent years, with techniques originating from statistics, machine learning, information retrieval, and database research being combined and applied to improve the linkage quality, as well as to increase performance and efficiency when linking or deduplicating very large data sets. Different measures have been used to characterise the quality and complexity of data linkage algorithms, and several new metrics have been proposed. An overview of the issues involved in measuring data linkage and deduplication quality and complexity is presented in this chapter. It is shown that measures in the space of record pair comparisons can produce deceptive quality results. Various measures are discussed and recommendations are given on how to assess data linkage and deduplication quality and complexity. Key words: data or record linkage, data integration and matching, deduplication, data mining pre-processing, quality and complexity measures