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.

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.

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.

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.

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.

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.

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.

Relationship Between Hospital Performance on a Patient Satisfaction Survey and Surgical Quality.

IMPORTANCE: The Centers for Medicare and Medicaid Services include patient experience as a core component of its Value-Based Purchasing program, which ties financial incentives to hospital performance on a range of quality measures. However, it remains unclear whether patient satisfaction is an accurate marker of high-quality surgical care. OBJECTIVE: To determine whether hospital performance on a patient satisfaction survey is associated with objective measures of surgical quality. DESIGN, SETTING, AND PARTICIPANTS: Retrospective observational study of participating American College of Surgeons National Surgical Quality Improvement Project (ACS NSQIP) hospitals. We used data from a linked database of Medicare inpatient claims, ACS NSQIP, the American Hospital Association annual survey, and Hospital Compare from December 2, 2004, through December 31, 2008. A total of 103 866 patients older than 65 years undergoing inpatient surgery were included. Hospitals were grouped by quartile based on their performance on the Hospital Consumer Assessment of Healthcare Providers and Systems survey. Controlling for preoperative risk factors, we created hierarchical logistic regression models to predict the occurrence of adverse postoperative outcomes based on a hospital's patient satisfaction scores. MAIN OUTCOMES AND MEASURES: Thirty-day postoperative mortality, major and minor complications, failure to rescue, and hospital readmission. RESULTS: Of the 180 hospitals, the overall mean patient satisfaction score was 68.0% (first quartile mean, 58.7%; fourth quartile mean, 76.7%). Compared with patients treated at hospitals in the lowest quartile, those at the highest quartile had significantly lower risk-adjusted odds of death (odds ratio = 0.85; 95% CI, 0.73-0.99), failure to rescue (odds ratio = 0.82; 95% CI, 0.70-0.96), and minor complication (odds ratio = 0.87; 95% CI, 0.75-0.99). This translated to relative risk reductions of 11.1% (P = .04), 12.6% (P = .02), and 11.5% (P = .04), respectively. No significant relationship was noted between patient satisfaction and either major complication or hospital readmission. CONCLUSIONS AND RELEVANCE: Using a national sample of hospitals, we demonstrated a significant association between patient satisfaction scores and several objective measures of surgical quality. Our findings suggest that payment policies that incentivize better patient experience do not require hospitals to sacrifice performance on other quality measures.

Improving Hospital Reporting of Patient Race and Ethnicity--Approaches to Data Auditing.

OBJECTIVE: To investigate new metrics to improve the reporting of patient race and ethnicity (R/E) by hospitals. DATA SOURCES: California Patient Discharge Database (PDD) and birth registry, 2008-2009, Healthcare and Cost Utilization Project's State Inpatient Database, 2008-2011, cancer registry 2000-2008, and 2010 US Census Summary File 2. STUDY DESIGN: We examined agreement between hospital reported R/E versus self-report among mothers delivering babies and a cancer cohort in California. Metrics were created to measure root mean squared differences (RMSD) by hospital between reported R/E distribution and R/E estimates using R/E distribution within each patient's zip code of residence. RMSD comparisons were made to corresponding "gold standard" facility-level measures within the maternal cohort for California and six comparison states. DATA COLLECTION: Maternal birth hospitalization (linked to the state birth registry) and cancer cohort records linked to preceding and subsequent hospitalizations. Hospital discharges were linked to the corresponding Census zip code tabulation area using patient zip code. PRINCIPAL FINDINGS: Overall agreement between the PDD and the gold standard for the maternal cohort was 86 percent for the combined R/E measure and 71 percent for race alone. The RMSD measure is modestly correlated with the summary level gold standard measure for R/E (r = 0.44). The RMSD metric revealed general improvement in data agreement and completeness across states. "Other" and "unknown" categories were inconsistently applied within inpatient databases. CONCLUSIONS: Comparison between reported R/E and R/E estimates using zip code level data may be a reasonable first approach to evaluate and track hospital R/E reporting. Further work should focus on using more granular geocoded data for estimates and tracking data to improve hospital collection of R/E data.

Which Patients Require More Care after Hospital Discharge? An Analysis of Post-Acute Care Use among Elderly Patients Undergoing Elective Surgery.

BACKGROUND: The use of post-acute care is common among the elderly and accounts for $62 billion in annual Medicare expenditures. However, little is known about post-acute care use after surgery. STUDY DESIGN: Data were merged between the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and Medicare claims for 2005 to 2008. Post-acute care use, including skilled nursing facilities (SNF), inpatient rehabilitation facilities (IRF), and home health care (HHC) were analyzed for 3 operations: colectomy, pancreatectomy, and open abdominal aortic aneurysm repair. Controlling for both preoperative risk factors and the occurrence of postoperative complications, we used multinomial logistic regression to estimate the odds of use for each type of post-acute care after elective surgery compared with home discharge. RESULTS: Post-acute care was used frequently for patients undergoing colectomy (40.0%; total n=10,932), pancreatectomy (46.0%; total n=2,144), and open abdominal aortic aneurysm (AAA) repair (44.9%; total n=1,736). Home health was the most frequently reported post-acute care service for each operation (range 23.2% to 31.5%) followed by SNF (range 12.0% to 15.0%), and then by IRF (range 2.5% to 5.4%). The majority of patients with at least 1 inpatient complication were discharged to post-acute care (range 58.6% for open AAA repair to 64.4% for colectomy). In multivariable analysis, specific preoperative risk factors, including advanced age, poor functional status, and inpatient complications were significantly associated with increased risk-adjusted odds of discharge to post-acute care for each operation studied. CONCLUSIONS: Among elderly patients, post-acute care use is frequent after surgery and is significantly associated with several preoperative risk factors and postoperative inpatient complications. Further work is needed to ensure that post-acute care services are used appropriately and cost-effectively.

Extending the value of the National Surgical Quality Improvement Program claims dataset to study long-term outcomes: Rate of repeat ventral hernia repair.

BACKGROUND: Existing large clinical registries capture short-term follow-up. Yet, there are many important long-term outcomes in surgery, such as recurrence of a ventral hernia after ventral hernia repair. The goal of the current study was to conduct an exploratory analysis to determine whether the rates, timing, and risk factors for ventral hernia re-repair in claims data linked to registry data were consistent with the known clinical literature. STUDY DESIGN: The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and Medicare inpatient claims linked data set from 2005 to 2008 was queried to identify ventral hernia re-repairs after index ventral hernia repairs. Survival analysis was used to examine the ventral hernia re-repair rate over time and to quantify the relationship with clinical variables. RESULTS: Of 3,730 index ventral hernia repairs identified in ACS-NSQIP, 247 patients (6.6%) underwent re-repair of a ventral hernia during the study period (2005-2008) in the Medicare claims data. ACS-NSQIP clinical variables that were associated with the ventral hernia re-repair rate in Medicare claims data 1 year after index ventral hernia repair were being a smoker (hazard ratio [HR] = 1.70, P = .02), body mass index (HR = 1.16, P = .04), and postoperative superficial surgical-site infection (HR = 2.88, P < .001). CONCLUSION: Long-term rate and timing of ventral hernia re-repair obtained from claims data were an underestimate compared with clinical studies. Yet, several known clinical risk factors for recurrence in the clinical registry were associated with the re-repair rate in claims data at one year. It may be possible to study certain long-term outcomes using selected reoperation rates using the technique of linked clinical registry-claims data, with an understanding that event rates are conservative estimates.

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.

Effect of a falls quality improvement program on serious fall-related injuries.

OBJECTIVES: To determine whether a program that improves the quality of care for falls reduces the number of episodes of care for serious fall-related injuries. DESIGN: Nonrandomized controlled trial. SETTING: Four community-based primary care practices. PARTICIPANTS: Individuals aged 75 and older who screened positive for fall risk. INTERVENTION: A multicomponent quality improvement program (Assessing Care of Vulnerable Elders Practice Redesign for Improved Medical Care for Elders) involving face-to-face clinician education about falls and decision support to prompt primary care providers to implement appropriate care, including referral to appropriate community resources, in response to individuals screening positive for fall risk. MEASUREMENTS: Episodes of care for selected fall-related injuries, based on healthcare claims. RESULTS: Of 1,791 individuals with data available for analysis, 1,187 were in the intervention group, and 604 were in the control group. Mean age was 83, and more than two-thirds of the sample were women. After adjusting for potential confounders, there were no statistically significant differences between intervention and control groups in episodes of care for fall-related injuries during the 12-month (incidence rate ratio (IRR) 1.27, 95% confidence interval (CI) = 0.93-1.73) or 24-month (IRR 1.18, 95% CI = 0.93-1.49) period after initiation of the intervention. CONCLUSION: Despite improving the care of falls, this quality improvement initiative did not result in a change in the number of episodes of care for serious fall-related injuries. Future work in community-based settings should test higher-intensity interventions to reduce fall-related injuries.