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.

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.

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.

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.

The Impact of the Hospital Readmissions Reduction Program across Insurance Types in California.

OBJECTIVE: Examine 30-day readmission rates for indicator conditions before and after adoption of the Hospital Readmissions Reduction Program (HRRP). DATA: California hospital discharge data, 2005 to 2014. STUDY DESIGN: Estimated difference between pre-HRRP trends and post-HRRP rates of hospital readmissions after hospitalization for indicator conditions targeted by the HRRP (heart attack, heart failure, and pneumonia) by payer among insured adults. PRINCIPAL FINDINGS: Post-HRRP, reductions occurred for the three conditions among Fee-for-Service (FFS) Medicare. Readmissions decreased for heart attack and heart failure in Medicare Managed Care (MC). No reductions were observed in the younger commercially insured. CONCLUSIONS: Post-HRRP, greater than expected reductions occurred in rehospitalizations for patients with Medicare FFS and Medicare MC. HRRP incentives may be influencing system-wide changes influencing care outside of traditional Medicare.

The cost of comorbidities in treatment for HIV/AIDS in California.

BACKGROUND: Antiretroviral therapy has increased longevity for people living with HIV (PLWH). As a result, PLWH increasingly experience the common diseases of aging and the resources needed to manage these comorbidities are increasing. This paper characterizes the number and types of comorbidities diagnosed among PLWH covered by Medicare and examines how non-HIV comorbidities relate to outpatient, inpatient, and pharmaceutical expenditures. METHODS: The study examined Medicare expenditures for 9767 HIV-positive Californians enrolled in Medicare in 2010 (7208 persons dually covered by Medicare and Medicaid and 2559 with Medicare only). Costs included both out of pocket costs and those paid by Medicare and Medicaid. Comorbidities were determined by examining diagnosis codes. FINDINGS: Medicare expenditures for Californians with HIV averaged $47,036 in 2010, with drugs accounting for about 2/3 of the total and outpatient costs 19% of the total. Inpatient costs accounted for 18% of the total. About 64% of the sample had at least one comorbidity in addition to HIV. Cross-validation showed that adding information on comorbidities to the quantile regression improved the accuracy of predicted individual expenditures. Non-HIV comorbidities relating to health habits-diabetes, hypertension, liver disease (hepatitis C), renal insufficiency-are common among PLWH. Cancer was relatively rare, but added significantly to cost. Comorbidities had little effect on pharmaceutical costs, which were dominated by the cost of antiretroviral therapy, but had a major effect on hospital admission. CONCLUSIONS: Comorbidities are prevalent among PLWH and add substantially to treatment costs for PLWH. Many of these comorbidities relate to health habits that could be addressed with additional prevention in ambulatory care, thereby improving health outcomes and ultimately reducing costs.

Development of an algorithm to identify fall-related injuries and costs in Medicare data.

BACKGROUND: Identifying fall-related injuries and costs using healthcare claims data is cost-effective and easier to implement than using medical records or patient self-report to track falls. We developed a comprehensive four-step algorithm for identifying episodes of care for fall-related injuries and associated costs, using fee-for-service Medicare and Medicare Advantage health plan claims data for 2,011 patients from 5 medical groups between 2005 and 2009. METHODS: First, as a preparatory step, we identified care received in acute inpatient and skilled nursing facility settings, in addition to emergency department visits. Second, based on diagnosis and procedure codes, we identified all fall-related claim records. Third, with these records, we identified six types of encounters for fall-related injuries, with different levels of injury and care. In the final step, we used these encounters to identify episodes of care for fall-related injuries. RESULTS: To illustrate the algorithm, we present a representative example of a fall episode and examine descriptive statistics of injuries and costs for such episodes. Altogether, we found that the results support the use of our algorithm for identifying episodes of care for fall-related injuries. When we decomposed an episode, we found that the details present a realistic and coherent story of fall-related injuries and healthcare services. Variation of episode characteristics across medical groups supported the use of a complex algorithm approach, and descriptive statistics on the proportion, duration, and cost of episodes by healthcare services and injuries verified that our results are consistent with other studies. CONCLUSIONS: This algorithm can be used to identify and analyze various types of fall-related outcomes including episodes of care, injuries, and associated costs. Furthermore, the algorithm can be applied and adopted in other fall-related studies with relative ease.

Differences in Nursing Home Quality Between Medicare Advantage and Traditional Medicare Patients.

BACKGROUND: Medicare Advantage (MA) enrollment is steadily growing, but little is known about the quality of nursing home (NH) care provided to MA enrollees compared to enrollees in traditional fee-for-service (FFS) Medicare. OBJECTIVES: To compare MA and FFS enrollees' quality of NH care. DESIGN: Cross-sectional. SETTING: US nursing homes. PARTICIPANTS: 2.17 million Medicare enrollees receiving care at an NH during 2011. MEASUREMENTS: CMS methodology was used to calculate the 18 Nursing Home Compare quality measures as applicable for each enrollee. RESULTS: Among Medicare enrollees using NH in 2011, 17% were in MA plans. Most quality scores were similar between MA and FFS. After adjusting for facility, beneficiary age and gender, CMS Hierarchical Condition Category score, and geographic region, short-stay MA enrollees had statistically significantly lower rates of new or worsening pressure ulcers [relative risk (RR) = 0.76, 95% confidence interval (CI) = 0.71-0.82] and new antipsychotic use (RR = 0.82, 95% CI = 0.80-0.83) but higher rates of moderate to severe pain (RR = 1.09, 95% CI = 1.07-1.12), compared with short-stay FFS enrollees. MA long-stay enrollees had lower rates of antipsychotic use (RR = 0.94, 95% CI = 0.93-0.96) but had higher rates of incontinence (RR = 1.08, 95% CI = 1.06-1.09) and urinary catheterization (RR = 1.10, 95% CI = 1.06-1.13), compared with long-stay FFS enrollees. CONCLUSION: Overall, we found few differences in NH quality scores between MA and FFS Medicare enrollees. MA enrollment was associated with better scores for pressure ulcers and antipsychotic use but worse scores for pain control, incontinence, and urinary catheterization. Results may be limited by residual case-mix differences between MA and FFS patients or by the small number of short-stay measures reported.

Public Reporting of Hospital-Level Cancer Surgical Volumes in California: An Opportunity to Inform Decision Making and Improve Quality.

PURPOSE: Most patients, providers, and payers make decisions about cancer hospitals without any objective data regarding quality or outcomes. We developed two online resources allowing users to search and compare timely data regarding hospital cancer surgery volumes. METHODS: Hospital cancer surgery volumes for all California hospitals were calculated using ICD-9 coded hospital discharge summary data. Cancer surgeries included (bladder, brain, breast, colon, esophagus, liver, lung, pancreas, prostate, rectum, and stomach) were selected on the basis of a rigorous literature review to confirm sufficient evidence of a positive association between volume and mortality. The literature could not identify threshold numbers of surgeries associated with better or worse outcomes. A multidisciplinary working group oversaw the project and ensured sound methodology. RESULTS: In California in 2014, about 60% of surgeries were performed at top-quintile-volume hospitals, but the per-hospital median numbers of surgeries for esophageal, pancreatic, stomach, liver, or bladder cancer surgeries were four or fewer. At least 670 patients received cancer surgery at hospitals that performed only one or two surgeries for a particular cancer type; 72% of those patients lived within 50 miles of a top-quintile-volume hospital. CONCLUSION: There is clear potential for more readily available information about hospital volumes to help patient, providers, and payers choose cancer surgery hospitals. Our successful public reporting of hospital volumes in California represents an important first step toward making publicly available even more provider-specific data regarding cancer care quality, costs, and outcomes, so those data can inform decision-making and encourage quality improvement.

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.

The lack of documentation of preferences in a cohort of adults who died after ischemic stroke.

OBJECTIVE: To measure the extent and timing of physicians' documentation of communication with patients and families regarding limitations on life-sustaining interventions, in a population cohort of adults who died within 30 days after hospitalization for ischemic stroke. METHODS: We used the California Office of Statewide Health Planning and Development Patient Discharge Database to identify a retrospective cohort of adults with ischemic strokes at all California acute care hospitals from December 2006 to November 2007. Of 326 eligible hospitals, a representative sample of 39 was selected, stratified by stroke volume and mortality. Medical records of 981 admissions were abstracted, oversampled on mortality and tissue plasminogen activator receipt. Among 198 patients who died by 30 days postadmission, overall proportions and timing of documented preferences were calculated; factors associated with documentation were explored. RESULTS: Of the 198 decedents, mean age was 80 years, 78% were admitted from home, 19% had mild strokes, 11% received tissue plasminogen activator, and 42% died during the index hospitalization. Preferences about at least one life-sustaining intervention were recorded on 39% of patients: cardiopulmonary resuscitation 34%, mechanical ventilation 23%, nasogastric tube feeding 10%, and percutaneous enteral feeding 6%. Most discussions occurred within 5 days of death. Greater stroke severity was associated with increased in-hospital documentation of preferences (p < 0.05). CONCLUSIONS: Documented discussions about limitations on life-sustaining interventions during hospitalization were low, even though this cohort died within 30 days poststroke. Improving the documentation of preferences may be difficult given the 2015 Centers for Medicare and Medicaid 30-day stroke mortality hospital performance measure that is unadjusted for patient preferences regarding life-sustaining interventions.

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.

Targeting a high-risk group for fall prevention: strategies for health plans.

OBJECTIVES: Although Medicare has implemented incentives for health plans to reduce fall risk, the best way to identify older people at high risk of falling and to use screening results to target fall prevention services remains unknown. We evaluated 4 different strategies using a combination of administrative data and patient-reported information that health plans could easily obtain. STUDY DESIGN: Observational study. METHODS: We used data from 1776 patients 75 years or older in 4 community-based primary care practices who screened positive for a fear of falling and/or a history of falls. For these patients, we predicted fall-related injuries in the 24 months after the date of screening using claims/encounter data. After controlling for age and gender, we predicted the number of fall-related injuries by adding Elixhauser comorbidity count, any claim for a fall-related injury during the 12 months prior to screening, and falls screening question responses in a sequential fashion using negative binomial regression models. RESULTS: Basic patient characteristics, including age and Elixhauser comorbidity count, were strong predictors of fall-related injury. Among falls screening questions, a positive response to, "Have you fallen 2 or more times in the past year?" was the most predictive of a fall-related injury (incidence rate ratio [IRR], 1.56; 95% CI, 1.25-1.94). Prior claim for a fall-related injury also independently predicted this type of injury (IRR, 1.41; 95% CI, 1.05-1.89). The best model for predicting fall-related injuries combined all of these approaches. CONCLUSIONS: The combination of administrative data and a simple screening item can be used by health plans to target patients at high risk for future fall-related injuries.

Using Merged Clinical and Claims Registry Data to Identify High Utilizers of Surgical Inpatient Care 1 Year after Colectomy.

BACKGROUND: Under bundled payment initiatives, providers will be held financially responsible for patients' acute and post-acute care costs. Certain patients, termed high utilizers, use disproportionate shares of resources during 1 year. The aim of this study was to identify high utilizers, describe their costs, and determine whether preoperative characteristics predict high utilizer status. STUDY DESIGN: Colectomy patients with 1-year follow-up were identified in a linked clinical (American College of Surgeons NSQIP) and administrative (Medicare inpatient claims) dataset (2005 to 2008). Cost of inpatient care was calculated by multiplying patient Medicare charges in each cost center by cost-to-charge ratios from the Medicare cost reports. A mixed-effects logistic model quantified the association between preoperative characteristics and being a high utilizer after elective and emergent colectomies. RESULTS: One thousand and fifty-five of 10,561 colectomy patients accounted for >50% of the inpatient care cost of the entire cohort during 1 year postoperatively. This top decile of patients were labeled high utilizers and had substantially greater costs in the following cost centers: intensive care ($36,322 vs $0), respiratory ($2,875 vs $22), radiology ($649 vs $29), and cardiology ($5,057 vs $166) (all p < 0.001). High utilizers more frequently had emergent index colectomies (43% vs 17%; p < 0.001). Patients with American Society of Anesthesiologists class IV and V had 2-fold increased odds of being high utilizers after both elective (odds ratio = 2.72; 95% CI, 1.89-3.90) and emergent colectomies (odds ratio = 2.09; 95% CI, 1.23-3.55). CONCLUSIONS: Patients in the top cost decile account for the majority of costs in the year after colectomy, disproportionately accumulate those costs in particular cost centers, and can be identified preoperatively.

Enhancing Clinical Content and Race/Ethnicity Data in Statewide Hospital Administrative Databases: Obstacles Encountered, Strategies Adopted, and Lessons Learned.

OBJECTIVES: Eight grant teams used Agency for Healthcare Research and Quality infrastructure development research grants to enhance the clinical content of and improve race/ethnicity identifiers in statewide all-payer hospital administrative databases. PRINCIPAL FINDINGS: Grantees faced common challenges, including recruiting data partners and ensuring their continued effective participation, acquiring and validating the accuracy and utility of new data elements, and linking data from multiple sources to create internally consistent enhanced administrative databases. Successful strategies to overcome these challenges included aggressively engaging with providers of critical sources of data, emphasizing potential benefits to participants, revising requirements to lessen burdens associated with participation, maintaining continuous communication with participants, being flexible when responding to participants' difficulties in meeting program requirements, and paying scrupulous attention to preparing data specifications and creating and implementing protocols for data auditing, validation, cleaning, editing, and linking. In addition to common challenges, grantees also had to contend with unique challenges from local environmental factors that shaped the strategies they adopted. CONCLUSIONS: The creation of enhanced administrative databases to support comparative effectiveness research is difficult, particularly in the face of numerous challenges with recruiting data partners such as competing demands on information technology resources. Excellent communication, flexibility, and attention to detail are essential ingredients in accomplishing this task. Additional research is needed to develop strategies for maintaining these databases when initial funding is exhausted.