Relationship of POLST to Hospitalization and ICU Care Among Nursing Home Residents in California.

BACKGROUND: Physician Orders for Life Sustaining Treatment (POLST) document instructions for intensity of care based upon patient care preferences. POLST forms generally reflect patients' wishes and dictate subsequent medical care, but it is not known how POLST use and content among nursing home residents is associated with inpatient utilization across a large population. OBJECTIVE: Evaluate the relationship between POLST use and content with hospital utilization among nursing home residents in California. DESIGN: Retrospective cohort study using the Minimum Data Set linked to California Section S (POLST documentation), the Medicare Beneficiary Summary File, and Medicare line item claims. PATIENTS: California nursing home residents with Medicare fee-for-service insurance, 2011-2016. MAIN MEASURES: Hospitalization, days in the hospital, and days in the intensive care unit (ICU) after adjustment for resident and nursing home characteristics. KEY RESULTS: The 1,112,834 residents had a completed and signed (valid) POLST containing orders for CPR with Full treatment 29.6% of resident-time (in person-years) and a DNR order with Selective treatment or Comfort care 27.1% of resident-time. Unsigned POLSTs accounted for 11.3% of resident-time. Residents experienced 14 hospitalizations and a mean of 120 hospital days and 37 ICU days per 100 person-years. Residents with a POLST indicating CPR Full treatment had utilization nearly identical to residents without a POLST. A gradient of decreased utilization was related to lower intensity of care orders. Compared to residents without a POLST, residents with a POLST indicating DNR Comfort care spent 56 fewer days in the hospital and 22 fewer days in the ICU per 100 person-years. Unsigned POLST had a weaker and less consistent relationship with hospital utilization. CONCLUSIONS: Among California NH residents, there is a direct relationship between intensity of care preferences in POLST and hospital utilization. These findings emphasize the importance of a valid POLST capturing informed preferences for nursing home residents.

Using Both Clinical Registry and Administrative Claims Data to Measure Risk-adjusted Surgical Outcomes.

OBJECTIVE: To examine the validity of hybrid quality measures that use both clinical registry and administrative claims data, capitalizing on the strengths of each data source. BACKGROUND: Previous studies demonstrate substantial disagreement between clinical registry and administrative claims data on the occurrence of postoperative complications. Clinical data have greater validity than claims data for quality measurement but can be burdensome for hospitals to collect. METHODS: American College of Surgeons National Surgical Quality Improvement Program records were linked to Medicare inpatient claims (2005-2008). National Quality Forum-endorsed risk-adjusted measures of 30-day postoperative complications or death assessed hospital quality for patients undergoing colectomy, lower extremity bypass, or all surgical procedures. Measures use hierarchical multivariable logistic regression to identify statistical outliers. Measures were applied using clinical data, claims data, or a hybrid of both data sources. Kappa statistics assessed agreement on determinations of hospital quality. RESULTS: A total of 111,984 patients participated from 206 hospitals. Agreement on hospital quality between clinical and claims data was poor. Hybrid models using claims data to risk-adjust complications identified by clinical data had moderate agreement with all clinical data models, whereas hybrid models using clinical data to risk-adjust complications identified by claims data had routinely poor agreement with all clinical data models. CONCLUSIONS: Assessments of hospital quality differ substantially when using clinical registry versus administrative claims data. A hybrid approach using claims data for risk adjustment and clinical data for complications may be a valid alternative with lower data collection burden. For quality measures focused on postoperative complications to be meaningful, such policies should require, at a minimum, collection of clinical outcomes data.

Variation in Hospital Use of Postacute Care After Surgery and the Association With Care Quality.

BACKGROUND: Little is known about hospital use of postacute care after surgery and whether it is related to measures of surgical quality. RESEARCH DESIGN: We used data merged between a national surgery registry, Medicare inpatient claims, the Area Resource File, and the American Hospital Association Annual Survey (2005-2008). Using bivariate and multivariate analyses, we calculated hospital-level, risk-adjusted rates of postacute care use for both inpatient facilities (IF) and home health care (HHC), and examined the association of these rates with hospital quality measures, including mortality, complications, readmissions, and length of stay. RESULTS: Of 112,620 patients treated at 217 hospitals, 18.6% were discharged to an IF, and 19.9% were discharged with HHC. Even after adjusting for differences in patient and hospital characteristics, hospitals varied widely in their use of both IF (mean, 20.3%; range, 2.7%-39.7%) and HHC (mean, 22.3%; range, 3.1%-57.8%). A hospital's risk-adjusted postoperative mortality rate or complication rate was not significantly associated with its use of postacute care, but higher 30-day readmission rates were associated with higher use of IF (24.1% vs. 21.2%, P=0.03). Hospitals with longer average length of stay used IF less frequently (19.4% vs. 24.4%, P<0.01). CONCLUSIONS: Hospitals vary widely in their use of postacute care. Although hospital use of postacute care was not associated with risk-adjusted complication or mortality rates, hospitals with high readmission rates and shorter lengths of stay used inpatient postacute care more frequently. To reduce variations in care, better criteria are needed to identify which patients benefit most from these services.

Use of the Physician Orders for Life-Sustaining Treatment among California Nursing Home Residents.

BACKGROUND: Physician Orders for Life-Sustaining Treatment (POLST) is a tool that facilitates the elicitation and continuity of life-sustaining care preferences. POLST was implemented in California in 2009, but how well it disseminated across a large, racially diverse population is not known and has implications for end-of-life care. OBJECTIVE: To evaluate the use of POLST among California nursing home residents, including variation by resident characteristics and by nursing home facility. DESIGN: Observational study using California Minimum Data Set Section S. PARTICIPANTS: A total of 296,276 people with a stay in 1,220 California nursing homes in 2011. MAIN MEASURES: The proportion of residents with a completed POLST (containing a resuscitation status order and resident/proxy and physician signatures) and relationship to resident characteristics; change in POLST use during 2011; and POLST completion and unsigned forms within nursing homes. KEY RESULTS: During 2011, POLST completion increased from 33 to 49 % of California nursing home residents. Adjusting for age and gender using a mixed-effects logistic model, long-stay residents were more likely than short-stay residents to have a completed POLST [OR = 2.36 (95 % CI 2.30, 2.42)]; severely cognitively impaired residents were less likely than unimpaired to have a completed POLST [OR = 0.89 (95 % CI 0.87, 0.92)]; and there was little difference by functional status. There was no difference in POLST completion among White non-Hispanic, Black, and Hispanic residents. Variation in POLST completion among nursing homes far exceeded that attributable to resident characteristics with 40 % of facilities having ≥80 % of long-stay residents with a completed POLST, while 20 % of facilities had ≤10 % of long-stay residents with a completed POLST. Thirteen percent of nursing home residents had a POLST containing a resuscitation preference but lacked a signature, rendering the POLST invalid. CONCLUSIONS: Statewide nursing home data show broad uptake of POLST in California without racial disparity. However, variation in POLST completion among nursing homes identifies potential areas for quality improvement.

Comparison between clinical registry and medicare claims data on the classification of hospital quality of surgical care.

OBJECTIVE: To compare the classification of hospital statistical outlier status as better or worse performance than expected for postoperative complications using Medicare claims versus clinical registry data. BACKGROUND: Controversy remains as to the most favorable data source for measuring postoperative complications for pay-for-performance and public reporting polices. METHODS: Patient-level records (2005-2008) were linked between the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and Medicare inpatient claims. Hospital statistical outlier status for better or worse performance than expected was assessed using each data source for superficial surgical site infection (SSI), deep/organ-space SSI, any SSI, urinary tract infection, pneumonia, sepsis, deep venous thrombosis, pulmonary embolism, venous thromboembolism, and myocardial infarction by developing hierarchical multivariable logistic regression models. Kappa statistics and correlation coefficients assessed agreement between the data sources. RESULTS: A total of 192 hospitals with 110,987 surgical patients were included. Agreement on hospital rank for complication rates between Medicare claims and ACS-NSQIP was poor-to-moderate (weighted κ: 0.18-0.48). Of hospitals identified as statistical outliers for better or worse performance by Medicare claims, 26% were also identified as outliers by ACS-NSQIP. Of outliers identified by ACS-NSQIP, 16% were also identified as outliers by Medicare claims. Agreement between the data sources on hospital outlier status classification was uniformly poor (weighted κ: -0.02-0.34). CONCLUSIONS: Despite using the same statistical methodology with each data source, classification of hospital outlier status as better or worse performance than expected for postoperative complications differed substantially between ACS-NSQIP and Medicare claims.

Measuring risk-adjusted value using Medicare and ACS-NSQIP: is high-quality, low-cost surgical care achievable everywhere?

OBJECTIVE: To evaluate the relationship between risk-adjusted cost and quality for colectomy procedures and to identify characteristics of "high value" hospitals (high quality, low cost). BACKGROUND: Policymakers are currently focused on rewarding high-value health care. Hospitals will increasingly be held accountable for both quality and cost. METHODS: Records (2005-2008) for all patients undergoing colectomy procedures in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) were linked to Medicare inpatient claims. Cost was derived from hospital payments by Medicare. Quality was derived from the occurrence of 30-day postoperative major complications and/or death as recorded in ACS-NSQIP. Risk-adjusted cost and quality metrics were developed using hierarchical multivariable modeling, consistent with a National Quality Forum-endorsed colectomy measure. RESULTS: The study population included 14,745 colectomy patients in 169 hospitals. Average hospitalization cost was $21,350 (SD $20,773, median $16,092, interquartile range $14,341-$24,598). Thirty-four percent of patients had a postoperative complication and/or death. Higher hospital quality was significantly correlated with lower cost (correlation coefficient 0.38, P < 0.001). Among hospitals classified as high quality, 52% were found to be low cost (representing highest value hospitals) whereas 14% were high cost (P = 0.001). Forty-one percent of low-quality hospitals were high cost. Highest "value" hospitals represented a mix of teaching/nonteaching affiliation, small/large bed sizes, and regional locations. CONCLUSIONS: Using national ACS-NSQIP and Medicare data, this study reports an association between higher quality and lower cost surgical care. These results suggest that high-value surgical care is being delivered in a wide spectrum of hospitals and hospital types.

Limitations With California Medicaid Data for Palliative and End of Life Care Quality Measures.

In 2014 the California legislature passed Senate Bill 1004 (SB 1004) that was designed to expand access to specialty palliative care for individuals served by California's Medicaid (known as Medi-Cal) Managed Care Plans (MCPs). The California Department of Health Care Services (DHCS) operationalized the legislation by developing minimum requirements for palliative care programs that all MCPs must meet or exceed.7 Quality and utilization data specific to California's Medicaid population are needed for stakeholders to identify care deficiencies and disparities, describe the end of life experience and utilization patterns of MCP members, compare these patterns to Medicare beneficiaries or other populations, and set appropriate targets to help monitor progress. We evaluated the feasibility of using Medicaid claims data and encounter data either by partnering with MCPs or by obtaining statewide data from DHCS to measure the quality of palliative care and end of life care. In a concurrent but separate effort, we analyzed administrative data supplied by three MCPs as part of a prospective pilot of standards for home-based palliative care in California, including care delivered to Medicaid beneficiaries under SB 1004. Beyond the practical challenges of allowing time for data access and approvals, both projects revealed several limitations to using administrative data to assess quality of palliative and end of life care for a Medicaid population. We describe these challenges that undermined our confidence in analysis results and propose solutions to measuring the quality of palliative and end of life care for Medicaid patients and suggested next steps.

Association between physician age and patterns of end-of-life care among older Americans.

BACKGROUND: End-of-life (EOL) care patterns may differ by physician age given differences in how physicians are trained or changes associated with aging. We sought to compare patterns of EOL care delivered to older Americans according to physician age. METHODS: We conducted a cross-sectional study of a 20% sample of Medicare fee-for-service beneficiaries aged ≥66 years who died in 2016-2019 (n = 487,293). We attributed beneficiaries to the physician who had >50% of primary care visits during the last 6 months of life. We compared beneficiary-level outcomes by physician age (<40, 40-49, 50-59, or ≥60) in two areas: (1) advance care planning (ACP) and palliative care; and (2) high-intensity care at the EOL. RESULTS: Beneficiaries attributed to younger physicians had slightly higher proportions of billed ACP (adjusted proportions, 17.1%, 16.1%, 15.5%, and 14.0% for physicians aged <40, 40-49, 50-59, and ≥60, respectively; p-for-trend adjusted for multiple comparisons <0.001) and palliative care counseling or hospice use in the last 180 days of life (64.5%, 63.6%, 61.9%, and 60.8%; p-for-trend <0.001). Similarly, physicians' younger age was associated with slightly lower proportions of emergency department visits (57.4%, 57.0%, 57.4%, and 58.1%; p-for-trend <0.001), hospital admissions (51.2%, 51.1%, 51.4%, and 52.1%; p-for-trend <0.001), intensive care unit admissions (27.8%, 27.9%, 28.2%, and 28.3%; p-for-trend = 0.03), or mechanical ventilation or cardiopulmonary resuscitation (14.2, 14.9%, 15.2%, and 15.3%; p-for-trend <0.001) in the last 30 days of life, and in-hospital death (20.2%, 20.6%, 21.3%, and 21.5%; p-for-trend <0.001). CONCLUSIONS: We found that differences in patterns of EOL care between beneficiaries cared for by younger and older physicians were small, and thus, not clinically meaningful. Future research is warranted to understand the factors that can influence patterns of EOL care provided by physicians, including initial and continuing medical education.

Association between occurrence of a postoperative complication and readmission: implications for quality improvement and cost savings.

OBJECTIVE: To estimate the effect of preventing postoperative complications on readmission rates and costs. BACKGROUND: Policymakers are targeting readmission for quality improvement and cost savings. Little is known regarding mutable factors associated with postoperative readmissions. METHODS: Patient records (2005-2008) from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) were linked to Medicare inpatient claims. Risk factors, procedure, and 30-day postoperative complications were determined from ACS-NSQIP. The 30-day postoperative readmission and costs were determined from Medicare. Occurrence of a postoperative complication included surgical site infections and cardiac, pulmonary, neurologic, and renal complications. Multivariate regression models predicted the effect of reducing complication rates on risk-adjusted readmission rates and costs by procedure. RESULTS: The 30-day postoperative readmission rate was 12.8%. Complication rates for readmitted and nonreadmitted patients were 53% and 16% (P < 0.001). Patients with a postoperative complication had higher predicted probability of readmission and cost of readmission than patients without a complication. For the 20 procedures accounting for the greatest number of readmissions, reducing ACS-NSQIP complication rates by a relative 5% could result in prevention of 2092 readmissions per year and a savings to Medicare of $31.0 million per year. Preventing all ACS-NSQIP complications for these procedures could result in prevention of 41,846 readmissions per year and a savings of $620.3 million per year. CONCLUSIONS: This study provides substantial evidence that efforts to reduce postoperative readmissions should begin by focusing on postoperative complications that can be reliably and validly measured. Such an approach will not eliminate all postoperative readmissions but will likely have a major effect on readmission rates.

Is emergency department crowding associated with increased "bounceback" admissions?

OBJECTIVE: Emergency department (ED) crowding is linked with poor quality of care and worse outcomes, including higher mortality. With the growing emphasis on hospital performance measures, there is additional concern whether inadequate care during crowded periods increases a patient's likelihood of subsequent inpatient admission. We sought to determine if ED crowding during the index visit was associated with these "bounceback" admissions. METHODS: We used comprehensive, nonpublic, statewide ED and inpatient discharge data from the California Office of Statewide Health Planning and Development from 2007 to identify index outpatient ED visits and bounceback admissions within 7 days. We further used ambulance diversion data collected from California local emergency medical services agencies to identify crowded days using intrahospital daily diversion hour quartiles. Using a hierarchical logistic regression model, we then determined if patients visiting on crowded days were more likely to have a subsequent bounceback admission. RESULTS: We analyzed 3,368,527 index visits across 202 hospitals, of which 596,471 (17.7%) observations were on crowded days. We found no association between ED crowding and bounceback admissions. This lack of relationship persisted in both a discrete (high/low) model (OR, 1.01; 95% CI, 0.99, 1.02) and a secondary model using ambulance diversion hours as a continuous predictor (OR, 1.00; 95% CI, 1.00, 1.00). CONCLUSIONS: Crowding as measured by ambulance diversion does not have an association with hospitalization within 7 days of an ED visit discharge. Therefore, bounceback admission may be a poor measure of delayed or worsened quality of care due to crowding.

Factors associated with short-term bounce-back admissions after emergency department discharge.

STUDY OBJECTIVE: Hospitalizations that occur shortly after emergency department (ED) discharge may reveal opportunities to improve ED or follow-up care. There currently is limited, population-level information about such events. We identify hospital- and visit-level predictors of bounce-back admissions, defined as 7-day unscheduled hospital admissions after ED discharge. METHODS: Using the California Office of Statewide Health Planning and Development files, we conducted a retrospective cohort analysis of adult (aged >18 years) ED visits resulting in discharge in 2007. Candidate predictors included index hospital structural characteristics such as ownership, teaching affiliation, trauma status, and index ED size, along with index visit patient characteristics of demographic information, day of service, against medical advice or eloped disposition, insurance, and ED primary discharge diagnosis. We fit a multivariable, hierarchic logistic regression to account for clustering of ED visits by hospitals. RESULTS: The study cohort contained a total of 5,035,833 visits to 288 facilities in 2007. Bounce-back admission within 7 days occurred in 130,526 (2.6%) visits and was associated with Medicaid (odds ratio [OR] 1.42; 95% confidence interval [CI] 1.40 to 1.45) or Medicare insurance (OR 1.53; 95% CI 1.50 to 1.55) and a disposition of leaving against medical advice or before the evaluation was complete (OR 1.90; 95% CI 1.89 to 2.0). The 3 most common age-adjusted index ED discharge diagnoses associated with a bounce-back admission were chronic renal disease, not end stage (OR 3.3; 95% CI 2.8 to 3.8), end-stage renal disease (OR 2.9; 95% CI 2.4 to 3.6), and congestive heart failure (OR 2.5; 95% CI 2.3 to 2.6). Hospital characteristics associated with a higher bounce-back admission rate were for-profit status (OR 1.2; 95% CI 1.1 to 1.3) and teaching affiliation (OR 1.2; 95% CI 1.0 to 1.3). CONCLUSION: We found 2.6% of discharged patients from California EDs to have a bounce-back admission within 7 days. We identified vulnerable populations, such as the very old and the use of Medicaid insurance, and chronic or end-stage renal disease as being especially at risk. Our findings suggest that quality improvement efforts focus on high-risk individuals and that the disposition plan of patients consider vulnerable populations.

Effect of emergency department crowding on outcomes of admitted patients.

STUDY OBJECTIVE: Emergency department (ED) crowding is a prevalent health delivery problem and may adversely affect the outcomes of patients requiring admission. We assess the association of ED crowding with subsequent outcomes in a general population of hospitalized patients. METHODS: We performed a retrospective cohort analysis of patients admitted in 2007 through the EDs of nonfederal, acute care hospitals in California. The primary outcome was inpatient mortality. Secondary outcomes included hospital length of stay and costs. ED crowding was established by the proxy measure of ambulance diversion hours on the day of admission. To control for hospital-level confounders of ambulance diversion, we defined periods of high ED crowding as those days within the top quartile of diversion hours for a specific facility. Hierarchic regression models controlled for demographics, time variables, patient comorbidities, primary diagnosis, and hospital fixed effects. We used bootstrap sampling to estimate excess outcomes attributable to ED crowding. RESULTS: We studied 995,379 ED visits resulting in admission to 187 hospitals. Patients who were admitted on days with high ED crowding experienced 5% greater odds of inpatient death (95% confidence interval [CI] 2% to 8%), 0.8% longer hospital length of stay (95% CI 0.5% to 1%), and 1% increased costs per admission (95% CI 0.7% to 2%). Excess outcomes attributable to periods of high ED crowding included 300 inpatient deaths (95% CI 200 to 500 inpatient deaths), 6,200 hospital days (95% CI 2,800 to 8,900 hospital days), and $17 million (95% CI $11 to $23 million) in costs. CONCLUSION: Periods of high ED crowding were associated with increased inpatient mortality and modest increases in length of stay and costs for admitted patients.

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.

A comparison of clinical registry versus administrative claims data for reporting of 30-day surgical complications.

OBJECTIVES: To compare the recording of 30-day postoperative complications between a national clinical registry and Medicare inpatient claims data and to determine whether the addition of outpatient claims data improves concordance with the clinical registry. BACKGROUND: Policymakers are increasingly discussing use of postoperative complication rates for value-based purchasing. There is debate regarding the optimal data source for such measures. METHODS: Patient records (2005-2008) from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) were linked to Medicare inpatient and outpatient claims data sets. We assessed the ability of (1) Medicare inpatient claims and (2) Medicare inpatient and outpatient claims to detect a core set of ACS-NSQIP 30-day postoperative complications: superficial surgical site infection (SSI), deep/organ-space SSI, any SSI (superficial and/or deep/organ-space), urinary tract infection, pneumonia, sepsis, deep venous thrombosis (DVT), pulmonary embolism, venous thromboembolism (DVT and/or pulmonary embolism), and myocardial infarction. Agreement of patient-level complications by ACS-NSQIP versus Medicare was assessed by κ statistics. RESULTS: A total of 117,752 patients from more than 200 hospitals were studied. The sensitivity of inpatient claims data for detecting ACS-NSQIP complications ranged from 0.27 to 0.78; the percentage of false-positives ranged from 48% to 84%. Addition of outpatient claims data improved sensitivity slightly but also greatly increased the percentage of false-positives. Agreement was routinely poor between clinical and claims data for patient-level complications. CONCLUSIONS: This analysis demonstrates important differences between ACS-NSQIP and Medicare claims data sets for measuring surgical complications. Poor accuracy potentially makes claims data suboptimal for evaluating surgical complications. These findings have meaningful implications for performance measures currently being considered.

Identifying vulnerable populations with symptomatic cholelithiasis at risk for increased health care utilization.

BACKGROUND: Gallstones are a common problem in the United States with many patients suffering from symptomatic cholelithiasis (SC). Patients with SC may first present to the emergency department ED) and are often discharged for elective follow-up; however, it is unknown what system and patient factors are associated with increased risk for ED revisits. This study aimed to assess longitudinal ED utilization and cholecystectomy for patients with SC and identify patient, geographic, and hospital characteristics associated with ED revisits, specifically race/ethnicity and insurance status. METHODS: Patients discharged from the ED with SC between July 1, 2016, and December 31, 2017, were identified from California administrative databases and followed for 1 year. Emergency department revisits and cholecystectomy after discharge were examined using logistic regression, clustering standard errors by hospital. Models adjusted for patient, geographic, and hospital variables using census and hospital administrative data. RESULTS: Cohort included 34,427 patients who presented to the ED with SC and were discharged. There were 18.8% of the patients that had one or more biliary-related ED revisits within 1 year. In fully adjusted models, non-Hispanic Black patients had higher odds for any ED revisit (adjusted odds ratio 1.23; 95% confidence interval, 1.09-1.39) and for two more ED revisits (adjusted odds ratio 1.48; 95% confidence interval, 1.20-1.82). Insurance type was also associated with ED revisits. CONCLUSION: Non-Hispanic Black patients experienced higher utilization of health care resources for SC after adjusting for other patient, geographic and hospital variables. Strategies to mitigate these disparities may include the development of standardized protocols regarding the follow-up and education for SC. Implementation of such strategies can ensure equitable treatment for all patients. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III.

Delay to Surgery for Patients with Symptomatic Cholelithiasis: Retrospective Analysis of an Administrative California Database after Discharge from the Emergency Department.

BACKGROUND: Timely receipt of surgery should be available for all patients. Few studies have examined differences in the treatment of symptomatic cholelithiasis (SC), a common surgical problem, based on race/ethnicity or insurance status. This study aimed to identify differences in repeat emergency department (ED) use and wait time to cholecystectomy for SC. STUDY DESIGN: Patients discharged from the ED with SC between July 1, 2016, and December 31, 2017, were identified from California administrative databases and followed for 1 year. Repeat ED use and wait time to elective and nonelective cholecystectomy after ED discharge were examined using logistic and negative binomial regression models. RESULTS: The final cohort analyzed 13,596 patients who underwent cholecystectomy within 1 year from index ED visit for SC. In adjusted analysis, non-Hispanic Black patients had higher odds for repeat ED use for biliary-related conditions before elective surgery and experienced longer waits for cholecystectomy (across several measures of wait times) compared with non-Hispanic White patients. Similar findings were seen for Medicaid and self-pay compared with privately insured patients. For example, self-pay patients had more than double the odds of experiencing repeat ED use while waiting for elective cholecystectomy compared with privately insured patients (adjusted odds ratio 2.49, 95% CI 1.88-3.31). CONCLUSION: Patients with SC receiving cholecystectomy within 1 year from index ED visit were more likely to have repeat ED use and longer waits to surgery based on their race/ethnicity and insurance status, even after adjusting for other measures of access. We identify a vulnerable population at risk for differences in treatment for a common surgical pathology.

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.

Risk of surgery following recent myocardial infarction.

OBJECTIVE: We aimed to assess the impact of recent myocardial infarction (MI) on outcomes after subsequent surgery in the contemporary clinical setting. BACKGROUND: Prior work shows that a history of a recent MI is a risk factor for complications following noncardiac surgery. However, this data does not reflect current advances in clinical management. METHODS: Using the California Patient Discharge Database, we retrospectively analyzed patients undergoing hip surgery, cholecystectomy, colectomy, elective abdominal aortic aneurysm repair, and lower extremity amputation from 1999 to 2004 (n = 563,842). Postoperative 30-day MI rate, 30-day mortality, and 1-year mortality were compared for patients with and without a recent MI using univariate analyses and multivariate logistic regression. Relative risks (RR) with 95% confidence intervals were estimated using bootstrapping with 1000 repetitions. RESULTS: Postoperative MI rate for the recent MI cohort decreased substantially as the length of time from MI to operation increased (0-30 days = 32.8%, 31-60 days = 18.7%, 61-90 days = 8.4%, and 91-180 days = 5.9%), as did 30-day mortality (0-30 days = 14.2%, 31-60 days = 11.5%, 61-90 days = 10.5%, and 91-180 days = 9.9%). MI within 30 days of an operation was associated with a higher risk of postoperative MI (RR range = 9.98-44.29 for the 5 procedures), 30-day mortality (RR range, 1.83-3.84), and 1-year mortality (RR range, 1.56-3.14). CONCLUSIONS: A recent MI remains a significant risk factor for postoperative MI and mortality following surgery. Strategies such as delaying elective operations for at least 8 weeks and medical optimization should be considered.

Association of claims-based quality of care measures with outcomes among community-dwelling vulnerable elders.

BACKGROUND: Few studies examine the link between measured process of care and outcome. OBJECTIVE: To evaluate the relationship of claims-based assessment of process of care to subsequent function and survival. RESEARCH DESIGN: Retrospective cohort study using claims from 1999 to assess performance on 41 quality indicators (QIs) from the Assessing Care of Vulnerable Elders (ACOVE) measurement set on functional decline and death in 2000. SETTING: Community-dwelling individuals. SUBJECTS: All persons ≥75 years enrolled in Medicare and Medicaid in 19 California counties in 1998 and 1999 who received In Home Supportive Services. MEASURES: Quality of care index, activities of daily living, and instrumental activities of daily living (IADL) need indices, mortality. RESULTS: Total 21,310 persons were eligible for a mean of 7.1 QIs; and received 46% of recommended care. The ADL index increased from 8.1 to 11.6 between baseline and follow-up. The IADL index increased from 13.6 to 14.1. Fifteen percent of the cohort died in 2000. After accounting for number of QIs triggered, baseline function and other covariates, better quality was associated with better function at follow-up. Ten percent better quality was associated at follow-up with 0.21 lower ADL need score [95% confidence interval (CI), 0.25-0.17], 0.022 lower IADL need score (95% CI, 0.032-0.013), and lower odds of death (0.91; 95% CI, 0.89 to 0.93). CONCLUSIONS: Routinely collected data implementing ACOVE measures for community vulnerable elders generate quality scores that are directly related to patient functional and survival outcomes. These findings suggest that population-based assessment of care is feasible for vulnerable older persons.