The Relationship Between Insurance Status and the Affordable Care Act on Asthma Outcomes Among Low-Income US Adults.

BACKGROUND: Asthma disproportionately affects individuals with lower income. High uninsured rates are a potential driver for this disparity. Previous studies have not examined the effect of the Affordable Care Act (ACA) on asthma-related outcomes for individuals with low income. RESEARCH QUESTION: What is the impact of insurance status and the ACA on asthma outcomes for adults 18 to 64 years of age in households with low-income status? STUDY DESIGN AND METHODS: This study was a pooled cross-sectional observational study using National Health Interview Survey data from 2011 through 2013 and 2016 through 2018. Individuals 18 to 64 years of age with a history of asthma and low income were included. Survey-weighted regression modeling and mediation analysis was used to explore the relationship of insurance status and asthma control. Univariate and multivariate survey-weighted regression modeling then was used to evaluate the correlation of the ACA and asthma outcomes. RESULTS: We identified 4,043 individual observations. Having health insurance was correlated with improved asthma outcomes (OR, 1.25). This relationship was completely mediated by cost barriers to medications and physician visits. Although the ACA resulted in significant changes in insurance status (OR, 2.4), no statistically significant change was found in asthma outcomes. Furthermore, cost barriers to both medications and physician visits persisted in the insured population, 20.7% and 30.0%, respectively. INTERPRETATION: Insurance coverage is associated with improved asthma control for adults 18 to 64 years from households with low socioeconomic status. The ACA reduced the rates of uninsured, but did not have the same magnitude of effect on reducing cost barriers. The persistence of cost barriers may explain in part the lack of population-level improvement in asthma control.

The relationship between educational attainment and hospitalizations among middle-aged and older adults in the United States.

BACKGROUND: There has been little research on the relationship between education and healthcare utilization, especially for racial/ethnic minorities. This study aimed to examine the association between education and hospitalizations, investigate the mechanisms, and disaggregate the relationship by gender, race/ethnicity, and age groups. METHODS: A retrospective cohort analysis was conducted using data from the 1992-2016 US Health and Retirement Study. The analytic sample consists of 35,451 respondents with 215,724 person-year observations. We employed a linear probability model with standard errors clustered at the respondent level and accounted for attrition bias using an inverse probability weighting approach. RESULTS: On average, compared to having an education less than high school, having a college degree or above was significantly associated with an 8.37 pp (95% CI, -9.79 pp to -7.95 pp) lower probability of being hospitalized, and having education of high school or some college was related to 3.35 pp (95% CI, -4.57 pp to -2.14 pp) lower probability. The association slightly attenuated after controlling for income but dramatically reduced once holding health conditions constant. Specifically, given the same health status and childhood environment conditions, compared to those with less than high school degree, college graduates saw a 1.79 pp (95% CI, -3.16 pp to -0.42 pp) lower chance of being hospitalized, but the association for high school graduates became indistinguishable from zero. Additionally, the association was larger for females, whites, and those younger than 78. The association was statistically significantly smaller for black college graduates than their white counterparts, even when health status is held constant. CONCLUSIONS: Educational attainment is a strong predictor of hospitalizations for middle-aged and older US adults. Health mediates most of the education-hospitalization gradients. The heterogeneous results across age, gender, race, and ethnicity groups should inform further research on health disparities.

Primary Care Physicians' Conceptualization of Quality in Medicare's Merit-Based Incentive Payment System.

BACKGROUND: While administrators of pay-for-performance may have good intentions, physicians may be reluctant to participate for various reasons, including poor program alignment with realities of clinical practice. In this study, we sought to characterize how primary care physicians (PCPs) participating in Medicare's Merit-Based Incentive Payment System (MIPS) conceptualize the quality of health care to help inform future measurement strategies that physicians would understand and appreciate. METHODS: We performed semi-structured qualitative interviews with a nationwide sample of 20 PCPs in MIPS. We asked PCPs how they would characterize quality and what distinguished exceptional, good, and poor quality. Interviews were transcribed and 2 coders independently read transcripts, allowing data to emerge from the interviews and developing theories about the data. The coders met intermittently to discuss findings, harmonize the coding scheme, develop a final list of themes and subthemes, and aggregate a list of representative quotations. RESULTS: Participants described quality as consisting of 2 components: (1) evidence-based care that is safe, which included health maintenance and chronic disease control, accurate diagnoses, and guideline adherence, and (2) patient-centered care, which included spending enough time with patients, responding to patient concerns, and establishing long-term relationships founded on trust. CONCLUSIONS: PCPs consider patient-centered care necessary for the provision of exceptional quality. Program administrators for quality measurement and pay-for-performance programs should explore new ways to reward PCPs for providing outstanding patient-centered care. Future research should be undertaken to determine whether patient-centered activities such as forging long-term, favorable patient-physician relationships, are associated with improved health outcomes.

Comparison of Childbirth Delivery Outcomes and Costs of Care Between Women Experiencing vs Not Experiencing Homelessness.

Importance: Women and families constitute the fastest-growing segments of the homeless population. However, there is limited evidence on whether women experiencing homelessness have poorer childbirth delivery outcomes and higher costs of care compared with women not experiencing homelessness. Objective: To compare childbirth delivery outcomes and costs of care between pregnant women experiencing homelessness vs those not experiencing homelessness. Design, Setting, and Participants: This cross-sectional study included 15 029 pregnant women experiencing homelessness and 308 242 pregnant women not experiencing homelessness who had a delivery hospitalization in 2014. The study used statewide databases that included all hospital admissions in 3 states (ie, Florida, Massachusetts, and New York). Delivery outcomes and delivery-associated costs were compared between pregnant women experiencing homelessness and those not experiencing homelessness cared for at the same hospital (analyzed using the overlap propensity-score weighting method and multivariable regression models with hospital fixed effects). The Benjamini-Hochberg false discovery rate procedure was used to account for multiple comparisons. Data were analyzed from January 2020 through May 2020. Exposure: Housing status at delivery hospitalization. Main Outcomes and Measures: Outcome variables included obstetric complications (ie, antepartum hemorrhage, placental abnormalities, premature rupture of the membranes, preterm labor, and postpartum hemorrhage), neonatal complications (ie, fetal distress, fetal growth restriction, and stillbirth), delivery method (ie, cesarean delivery), and delivery-associated costs. Results: Among 15 029 pregnant women experiencing homelessness (mean [SD] age, 28.5 [5.9] years) compared with 308 242 pregnant women not experiencing homelessness (mean [SD] age, 29.4 [5.8] years) within the same hospital, those experiencing homelessness were more likely to experience preterm labor (adjusted probability, 10.5% vs 6.7%; adjusted risk difference [aRD], 3.8%; 95% CI, 1.2%-6.5%; adjusted P = .03) and had higher delivery-associated costs (adjusted costs, $6306 vs $5888; aRD, $417; 95% CI, $156-$680; adjusted P = .02) compared with women not experiencing homelessness. Those experiencing homelessness also had a higher probability of placental abnormalities (adjusted probability, 4.0% vs 2.0%; aRD, 1.9%; 95% CI, 0.4%-3.5%; adjusted P = .053), although this difference was not statistically significant. Conclusions and Relevance: This study found that women experiencing homelessness, compared with those not experiencing homelessness, who had a delivery and were admitted to the same hospital were more likely to experience preterm labor and incurred higher delivery-associated costs. These findings suggest wide disparities in delivery-associated outcomes between women experiencing homelessness and those not experiencing homelessness in the US. The findings highlight the importance for health care professionals to actively screen pregnant women for homelessness during prenatal care visits and coordinate their care with community health programs and social housing programs to make sure their health care needs are met.

Evaluating inpatient adverse outcomes under California's Delivery System Reform Incentive Payment Program.

OBJECTIVE: The California Delivery System Reform Incentive Payment Program (DSRIP) provided incentive payments to Designated Public Hospitals (DPHs) to improve quality of care. We assessed the program's impact on reductions in sepsis mortality, central line-associated bloodstream infections (CLABSIs), venous thromboembolisms (VTEs), and hospital-acquired pressure ulcers (HAPUs). DATA SOURCES: We used 2009-2014 discharge data from California hospitals. STUDY DESIGN: We used a pre-post study design with a comparison group. We constructed propensity scores and used them to assign inverse probability weights according to their similarity to DPH discharges. Interaction term coefficients of time trends and treatment group provided significance testing. DATA EXTRACTION: We used Patient Safety Indicators for CLABSI, HAPU, and VTE, and constructed a sepsis mortality measure. PRINCIPAL FINDINGS: Discharges from DPHs and non-DPHs both saw decreases in the four outcomes over the DSRIP period (2010-2014). The difference-in-difference estimator (DD) for sepsis was only significant during two time periods, comparing 2010 with 2012 (DD: -2.90 percent, 95% CI: -5.08, -0.72 percent) and 2010 with 2014 (DD: -5.74, 95% CI: -8.76 percent, -2.72 percent); the DD estimator was not significant comparing 2010 with 2012 (DD: -1.30, 95% CI: -3.18 percent, 0.58 percent) or comparing 2010 with 2013 (DD: -3.05 percent, 95% CI: -6.50 percent, 0.40 percent). For CLABSI, we did not find any meaningful differences between DPHs and non-DPHs across the four time periods. For HAPU and VTE, the only significant DD estimator compared 2014 with 2010. CONCLUSIONS: We did not find that DPHs participating in DSRIP outperformed non-DPHs during the DSRIP program. Our results were robust to multiple sensitivity analyses. Given multiple concurrent inpatient safety initiatives, it was challenging to assign improvements over time periods to DSRIP.

End-of-Life Cost Trajectories in Cancer Patients Treated by Medicare versus the Veterans Health Administration.

BACKGROUND/OBJECTIVES: To evaluate differences in end-of-life cost trajectories for cancer patients treated through Medicare versus by the Veterans Health Administration (VA). DESIGN: A retrospective analysis of VA and Medicare administrative data from FY 2010 to 2014. We employed three-level generalized estimating equations to evaluate monthly cost trajectories experienced by patients in their last year of life, with patients nested within hospital referral region. SETTING: Care received at VA facilities or by Medicare-reimbursed providers nationwide. PARTICIPANTS: A total of 36,401 patients dying from cancer and dually enrolled in VA and Medicare. MEASUREMENTS: We evaluated trajectories for total, inpatient, outpatient, and drug costs, using the last 12 months of life. Cost trajectories were prioritized as costs are not directly comparable across Medicare and VA. Patients were assigned to be VA-reliant, Medicare-reliant or Mixed-reliant based on their healthcare utilization in the last year of life. RESULTS: All three groups experienced significantly different cost trajectories for total costs in the last year of life. Inpatient cost trajectories were significantly different between Medicare-reliant and VA-reliant patients, but did not differ between VA-reliant and Mixed-reliant patients. Outpatient and drug cost trajectories exhibited the inverse pattern: they were significantly different between VA-reliant and Mixed-reliant patients, but not between VA-reliant and Medicare-reliant patients. However, visual examination of cost trajectories revealed similar cost patterns in the last year of life among all three groups; there was a sharp rise in costs as patients approach death, largely due to inpatient care. CONCLUSION: Despite substantially different financial incentives and organization, VA- and Medicare-treated patients exhibit similar patterns of increasing end-of-life costs, largely driven by inpatient costs. Both systems require improvement to ensure quality of end-of-life care is aligned with recommended practice.

Comorbidity Assessment Is Uneven Across Veterans Health Administration and Medicare for the Same Patient: Implications for Risk Adjustment.

OBJECTIVE: Compare comorbidity identification in Medicare and Veterans Health Administration (VA) data for the purposes of risk adjustment. DATA SOURCES: Analysis of Medicare and VA datasets for dually-enrolled Veterans receiving care in both settings, fiscal years 2010-2014. STUDY DESIGN: A retrospective analysis of administrative data for a national sample of cancer decedents. DATA EXTRACTION METHODS: Comorbidities were evaluated using Elixhauser and Charlson coding algorithms. PRINCIPAL FINDINGS: Clinical comorbidities were more likely to be recorded in Medicare than in VA datasets. Of 42 comorbidities, 36 (86%) were recorded at a different frequency. For example, congestive heart failure was recorded for 22.0% of patients in Medicare data and for 11.3% of patients in VA data (P<0.001). CONCLUSION: There are large differences in comorbidity assessment across VA and Medicare administrative data for the same patient, posing challenges for risk adjustment.

Understanding Gender Sensitivity of the Health Care Workforce at the Veterans Health Administration.

BACKGROUND: Gender sensitivity of providers and staff has assumed increasing importance in closing historical gender disparities in health care quality and outcomes. The Department of Veterans Affairs (VA) has implemented several initiatives intended to improve gender sensitivity of its health care workforce. The current study examines practice- and individual-level characteristics associated with gender sensitivity of primary care providers (PCPs) and staff. METHODS: We surveyed PCPs and staff (nurses, medical assistants, and clerks) at 12 VA medical centers (VAMCs) (n = 256 of 649; response rate, 39%). Gender sensitivity was measured using a 10-item scale adapted from the Gender Awareness Inventory-VA. We used weighted multivariate regression with maximum likelihood estimation to identify individual- and practice-level characteristics associated with gender sensitivity of PCPs and staff. RESULTS: PCPs and staff had similar gender sensitivity but differed in most characteristics associated with that gender sensitivity. Among PCPs, women's health training and positive communication with others in the clinic were associated with greater gender sensitivity. For staff, prior work experience caring for women, working in Women's Health Patient-Aligned Care Teams, and rural location were associated with greater gender sensitivity, whereas more years of VA service was associated with lower gender sensitivity. Working at VA medical centers with a higher volume of women veteran patients was associated with greater gender sensitivity for both PCPs and staff. CONCLUSIONS: Women's health training and experience in working with other women's health professionals are strongly correlated with greater gender sensitivity in the clinical workforce.

Adherence to the SEP-1 Sepsis Bundle in Hospital-Onset v. Community-Onset Sepsis: a Multicenter Retrospective Cohort Study.

BACKGROUND: Sepsis is the leading cause of in-hospital death. The SEP-1 sepsis bundle is a protocol for early sepsis care that requires providers to diagnose and treat sepsis quickly. Limited evidence suggests that adherence to the sepsis bundle is lower in cases of hospital-onset sepsis. OBJECTIVE: To compare sepsis bundle adherence in hospital-onset vs. community-onset sepsis. DESIGN: Retrospective cohort study using multivariable analysis of clinical data. PARTICIPANTS: A total of 4658 inpatients age 18 or older were identified by diagnosis codes consistent with sepsis or disseminated infection. SETTING: Four university hospitals in California between 2014 and 2016. MAIN OUTCOMES AND MEASURES: The primary outcome was adherence to key components of the sepsis bundle defined by the Centers for Medicare and Medicaid Services in their core measure, SEP-1. Covariates included clinical characteristics related to the patient, infection, and pathogen. KEY RESULTS: Compared with community-onset, cases of hospital-onset sepsis were less likely to receive SEP-1 adherent care (relative risk 0.33, 95% confidence interval 0.29-0.38, p < 0.001). With the exception of vasopressors (RR 1.11, p = 0.002), each component of SEP-1 evaluated-blood cultures (RR 0.76, p < 0.001), serum lactate (RR 0.51, p < 0001), broad-spectrum antibiotics (RR 0.62, p < 0.001), intravenous fluids (0.47, p < 0.001), and follow-up lactate (RR 0.71, p < 0.001)-was less likely to be performed within the recommended time frame in hospital-onset sepsis. Within the hospital, cases of hospital-onset sepsis arising on the ward were less likely to receive SEP-1-adherent care than were cases arising in the intensive care unit (RR 0.68, p = 0.004). CONCLUSIONS: Inpatients with hospital-onset sepsis receive different management than individuals with community-onset sepsis. It remains to be determined whether system-level factors, provider-level factors, or factors related to measurement explain the observed variation in care or whether variation in care affects outcomes.

Health System and Beneficiary Costs Associated With Intensive End-of-Life Medical Services.

Importance: Despite recommendations to reduce intensive medical treatment at the end of life, many patients with cancer continue to receive such services. Objective: To quantify expected beneficiary and health system costs incurred in association with receipt of intensive medical services in the last month of life. Design, Setting, and Participants: This retrospective cohort study used data collected nationally from Medicare and the Veterans Health Administration for care provided in fiscal years 2010 to 2014. Participants were 48 937 adults aged 66 years or older who died of solid tumor and were continuously enrolled in fee-for-service Medicare and the Veterans Health Administration in the 12 months prior to death. The data were analyzed from February to August 2019. Exposures: American Society of Clinical Oncology metrics regarding medically intensive services provided in the last month of life, including hospital stay, intensive care unit stay, chemotherapy, 2 or more emergency department visits, or hospice for 3 or fewer days. Main Outcomes and Measures: Costs in the last month of life associated with receipt of intensive medical services were evaluated for both beneficiaries and the health system. Costs were estimated from generalized linear models, adjusting for patient demographics and comorbidities and conditioning on geographic region. Results: Of 48 937 veterans who received care through the Veterans Health Administration and Medicare, most were white (90.8%) and male (98.9%). More than half (58.9%) received at least 1 medically intensive service in the last month of life. Patients who received no medically intensive service generated a mean (SD) health system cost of $7660 ($1793), whereas patients who received 1 or more medically intensive services generated a mean (SD) health system cost of $23 612 ($5528); thus, the additional financial consequence to the health care system for medically intensive services was $15 952 (95% CI, $15 676-$16 206; P < .001). The biggest contributor to these differences was $21 093 (95% CI, $20 364-$21 689) for intensive care unit stay, while the smallest contributor was $3460 (95% CI, $2927-$3880) for chemotherapy. Mean (SD) expected beneficiary costs for the last month of life were $133 ($50) for patients with no medically intensive service and $1257 ($408) for patients with at least 1 medically intensive service (P < .001). Conclusions and Relevance: Given the low income of many elderly patients in the United States, the financial consequences of medically intensive services may be substantial. Costs of medically intensive services at the end of life, including patient financial consequences, should be considered by both physicians and families.

Patient experience of hospital care in China: major findings from the Chinese Patient Experience Questionnaire Survey (2016-2018).

OBJECTIVES: China launched the National Healthcare Improvement Initiative (NHII) in 2015 to improve patient experiences in healthcare. This study aimed to generate evidence of hospital care quality from the patients' perspective. DESIGN: This nationwide cross-sectional study interviewed participants from 31 provinces, municipalities and autonomous regions across China. SETTING: A total of 117 tertiary hospitals in mainland China. PARTICIPANTS: 48 422 responses from outpatients and 35 957 responses from inpatients were included in this study. PRIMARY OUTCOME MEASURE: The scores of six predefined domains in the Chinese Patient Experience Questionnaire, five of which were designed to reflect specific dimensions of care, and one of which indicated the overall rating. RESULTS: More than 80% of the respondents viewed their care experiences as positive. The NHII seems to have had a positive impact, as indicated by the steady, although unremarkable, increase in the patient experience scores over the 2016-2018 period. The Chinese patients generally reported a positive experience with the clinical aspects of care, but reported a less positive experience with the environmental, interpersonal and social services aspects of care. The institutional factors, including region and type of hospital, and personal factors, such as gender, age, education and occupation, were factors affecting the patient experience in China. Humanistic care was the aspect of care with the greatest association with the overall patient experience rating in both the outpatient and inpatient settings. CONCLUSIONS: The national survey indicated an overall positive patient perspective of care in China. Older age, higher education level and formal employment status were found to be correlated with positive care experiences, as were higher levels of economic development of the region, a more generous insurance benefits package and a higher degree of coordinated care. The interpersonal-related initiatives had substantial roles in the improvement of the patient experience. In the regions where farmers and users of traditional Chinese medicine services constitute a greater proportion of the population, improvement of patient experiences for these groups deserves special policy attention.

Primary Care Physicians in the Merit-Based Incentive Payment System (MIPS): a Qualitative Investigation of Participants' Experiences, Self-Reported Practice Changes, and Suggestions for Program Administrators.

BACKGROUND: While both administrators of pay-for-performance programs and practicing physicians strive to improve healthcare quality, they sometimes disagree on the best approach. The Medicare Access and CHIP Reauthorization Act of 2015 mandated the creation of the Merit-Based Incentive Payment System (MIPS), a program that incentivizes more than 700,000 physician participants to report on four domains of care, including healthcare quality. While MIPS performance scores were recently released, little is known about how primary care physicians (PCPs) and their practices are being affected by the program and what actions they are taking in response to MIPS. OBJECTIVES: To (1) describe PCP perspectives and self-reported practice changes related to quality measurement under MIPS and (2) disseminate PCP suggestions for improving the program. DESIGN: Qualitative study employing semi-structured interviews. PARTICIPANTS: Twenty PCPs trained in internal medicine or family medicine who were expected to report under MIPS for calendar year 2017 were interviewed between October 2017 and June 2018. Eight PCPs self-reported to be knowledgeable about MIPS. Seven PCPs worked in small practices. KEY RESULTS: Most PCPs identified advantages of quality measurement under MIPS, including the creation of practice-level systems for quality improvement. However, they also cited disadvantages, including administrative burdens and fears that practices serving vulnerable patients could be penalized. Many participants reported using technology or altering staffing to help with data collection and performance improvement. A few participants were considering selling small practices or joining larger ones to avoid administrative tasks. Suggestions for improving MIPS included simplifying the program to reduce administrative burdens, protecting practices serving vulnerable populations, and improving communication between program administrators and PCPs. CONCLUSIONS: MIPS is succeeding in nudging PCPs to develop quality measurement and improvement systems, but PCPs are concerned that administrative burdens are leading to the diversion of clinical resources away from patient-centered care and negatively impacting patient and clinician satisfaction. Program administrators should improve communication with participants and consider simplifying the program to make it less burdensome. Future work should be done to investigate how technical assistance programs can target PCPs that serve vulnerable patient populations and are having difficulty adapting to MIPS.

Injury-specific variables improve risk adjustment and hospital quality assessment in severe traumatic brain injury.

BACKGROUND: Hospital benchmarking is essential to quality improvement, but its usefulness depends on the ability of statistical models to adequately control for inter-hospital differences in patient mix. We explored whether the addition of injury-specific clinical variables to the current American College of Surgeons-Trauma Quality Improvement Program (TQIP) algorithm would improve model fit. METHODS: We analyzed a prospective registry containing all adult patients who presented to a regional consortium of 14 trauma centers between 2010 and 2011 with severe traumatic brain injury (TBI). We used hierarchical logistic regression and stepwise forward selection to develop two novel risk-adjustment models. We then tested our novel models against the current TQIP model and ranked hospitals by their risk-adjusted mortality rates under each model to determine how model selection affects quality benchmarking. RESULTS: Seven hundred thirty-four patients met inclusion criteria. Stepwise selection resulted in two distinct models: one that added three TBI-specific variables (pupil reactivity, cerebral edema, loss of basal cisterns) to the model specification currently used by TQIP and another that combined two TBI-specific variables (pupil reactivity, cerebral edema) with a three-variable subset of TQIP (age, Abbreviated Injury Scale score for the head region, Glasgow Coma Scale motor score). Both novel models outperformed TQIP. Although rankings remained largely unchanged across model configurations, several hospitals moved across quality terciles. CONCLUSION: The inclusion of injury-specific variables improves risk adjustment for patients with severe TBI. Trauma Quality Improvement Program should consider replacing several of its general patient characteristics with injury-specific clinical predictors to increase efficiency, reduce the risk of overfitting, and improve the accuracy of hospital benchmarking. LEVEL OF EVIDENCE: Prognostic and epidemiological, level II.

Ambulance diversions following public hospital emergency department closures.

OBJECTIVE: To examine whether hospitals are more likely to temporarily close their emergency departments (EDs) to ambulances (through ambulance diversions) if neighboring diverting hospitals are public vs private. DATA SOURCES/STUDY SETTING: Ambulance diversion logs for California hospitals, discharge data, and hospital characteristics data from California's Office of Statewide Health Planning and Development and the American Hospital Association (2007). STUDY DESIGN: We match public and private (nonprofit or for-profit) hospitals by distance and size. We use random-effects models examining diversion probability and timing of private hospitals following diversions by neighboring public vs matched private hospitals. DATA COLLECTION/EXTRACTION METHODS: N/A. PRINCIPAL FINDINGS: Hospitals are 3.6 percent more likely to declare diversions if neighboring diverting hospitals are public vs private (P < 0.001). Hospitals declaring diversions have lower ED occupancy (P < 0.001) after neighboring public (vs private) hospitals divert. Hospitals have 4.2 percent shorter diversions if neighboring diverting hospitals are public vs private (P < 0.001). When the neighboring hospital ends its diversion first, hospitals terminate diversions 4.2 percent sooner if the neighboring hospital is public vs private (P = 0.022). CONCLUSIONS: Sample hospitals respond differently to diversions by neighboring public (vs private) hospitals, suggesting that these hospitals might be strategically declaring ambulance diversions to avoid treating low-paying patients served by public hospitals.

Segmentation of High-Cost Adults in an Integrated Healthcare System Based on Empirical Clustering of Acute and Chronic Conditions.

BACKGROUND: High-cost patients are a frequent focus of improvement projects based on primary care and other settings. Efforts to characterize high-cost, high-need patients are needed to inform care planning, but such efforts often rely on a priori assumptions, masking underlying complexities of a heterogenous population. OBJECTIVE: To define recognizable subgroups of patients among high-cost adults based on clinical conditions, and describe their survival and future spending. DESIGN: Retrospective observational cohort study. PARTICIPANTS: Within a large integrated delivery system with 2.7 million adult members, we selected the top 1% of continuously enrolled adults with respect to total healthcare expenditures during 2010. MAIN MEASURES: We used latent class analysis to identify clusters of alike patients based on 53 hierarchical condition categories. Prognosis as measured by healthcare spending and survival was assessed through 2014 for the resulting classes of patients. RESULTS: Among 21,183 high-cost adults, seven clinically distinctive subgroups of patients emerged. Classes included end-stage renal disease (12% of high-cost population), cardiopulmonary conditions (17%), diabetes with multiple comorbidities (8%), acute illness superimposed on chronic conditions (11%), conditions requiring highly specialized care (14%), neurologic and catastrophic conditions (5%), and patients with few comorbidities (the largest class, 33%). Over 4 years of follow-up, 6566 (31%) patients died, and survival in the classes ranged from 43 to 88%. Spending regressed to the mean in all classes except the ESRD and diabetes with multiple comorbidities groups. CONCLUSIONS: Data-driven characterization of high-cost adults yielded clinically intuitive classes that were associated with survival and reflected markedly different healthcare needs. Relatively few high-cost patients remain persistently high cost over 4 years. Our results suggest that high-cost patients, while not a monolithic group, can be segmented into few subgroups. These subgroups may be the focus of future work to understand appropriateness of care and design interventions accordingly.

Evaluation of the Present-on-Admission Indicator among Hospitalized Fee-for-Service Medicare Patients with a Pressure Ulcer Diagnosis: Coding Patterns and Impact on Hospital-Acquired Pressure Ulcer Rates.

OBJECTIVES: To evaluate national present-on-admission (POA) reporting for hospital-acquired pressure ulcers (HAPUs) and examine the impact of quality measure exclusion criteria on HAPU rates. DATA SOURCES/STUDY SETTING: Medicare inpatient, outpatient, and nursing facility data as well as independent provider claims (2010-2011). STUDY DESIGN: Retrospective cross-sectional study. DATA COLLECTION/EXTRACTION METHODS: We evaluated acute inpatient hospital admissions among Medicare fee-for-service (FFS) beneficiaries in 2011. Admissions were categorized as follows: (1) no pressure ulcer diagnosis, (2) new pressure ulcer diagnosis, and (3) previously documented pressure ulcer diagnosis. HAPU rates were calculated by varying patient exclusion criteria. PRINCIPAL FINDINGS: Among admissions with a pressure ulcer diagnosis, we observed a large discrepancy in the proportion of admissions with a HAPU based on hospital-reported POA data (5.2 percent) and the proportion with a new pressure ulcer diagnosis based on patient history in billing claims (49.7 percent). Applying quality measure exclusion criteria resulted in removal of 91.2 percent of admissions with a pressure injury diagnosis from HAPU rate calculations. CONCLUSIONS: As payers and health care organizations expand the use of quality measures, it is important to consider how the measures are implemented, coding revisions to improve measure validity, and the impact of patient exclusion criteria on provider performance evaluation.

Quality Of End-Of-Life Care Is Higher In The VA Compared To Care Paid For By Traditional Medicare.

Congressional and Veterans Affairs (VA) leaders have recommended the VA become more of a purchaser than a provider of health care. Fee-for-service Medicare provides an example of how purchased care differs from the VA's directly provided care. Using established indicators of overly intensive end-of-life care, we compared the quality of care provided through the two systems to veterans dying of cancer in fiscal years 2010-14. The Medicare-reliant veterans were significantly more likely to receive high-intensity care, in the form of chemotherapy, hospital stays, admission to the intensive care unit, more days spent in the hospital, and death in the hospital. However, they were significantly less likely than VA-reliant patients to have multiple emergency department visits. Higher-intensity end-of-life care may be driven by financial incentives present in fee-for-service Medicare but not in the VA's integrated system. To avoid putting VA-reliant veterans at risk of receiving lower-quality care, VA care-purchasing programs should develop coordination and quality monitoring programs to guard against overly intensive end-of-life care.

Consistency of pressure injury documentation across interfacility transfers.

BACKGROUND: Hospital-acquired pressure injuries (HAPIs) are publicly reported in the USA and used to adjust Medicare payment to acute inpatient facilities. Current methods used to identify HAPIs in administrative claims rely on hospital-reported present-on-admission (POA) data instead of prior patient health information. OBJECTIVE: To study the reliability of claims data for HAPIs and pressure injury (PI) stage by evaluating diagnostic coding agreement across interfacility transfers. METHODS: Using the 2012 100% Medicare Provider and Analysis Review file, we identified all fee-for-service acute inpatient discharge records with a PI diagnosis among Medicare patients 65 years and older. We then identified additional facility claims (eg, acute inpatient, long-stay inpatient or skilled nursing facility) belonging to the same patient who had either (1) admission within 1day of hospital discharge or (2) discharge within 1day of hospital admission. Multivariable logistic regression and stratified kappa statistics were used to measure coding agreement between transferring and receiving facilities in the presence or absence of a PI diagnosis at the time of patient transfer and PI stage category (early vs advanced). RESULTS: In our comparison of claims data between transferring and receiving facilities, we observed poor agreement in the presence or absence of a PI diagnosis at the time of transfer (36.3%, kappa=0.03) and poor agreement in PI stage category (74.3%, kappa=0.17). Among transfers with a POA PI reported by the receiving hospital, only 34.0% had a PI documented at the prior transferring facility. CONCLUSIONS: The observed discordance in PI documentation and staging between transferring and receiving facilities may indicate inaccuracy of HAPI identification in claims data. Future research should evaluate the accuracy of hospital-reported POA data and its impact on PI quality measurement.

Clinical Effectiveness and Cost of a Hospital-Based Fall Prevention Intervention: The Importance of Time Nurses Spend on the Front Line of Implementation.

OBJECTIVE: The aim of this study is to evaluate the clinical effectiveness and incremental net cost of a fall prevention intervention that involved hourly rounding by RNs at 2 hospitals. BACKGROUND: Minimizing in-hospital falls is a priority, but little is known about the value of fall prevention interventions. METHODS: We used an uncontrolled before-after design to evaluate changes in fall rates and time use by RNs. Using decision-analytical models, we estimated incremental net costs per hospital per year. RESULTS: Falls declined at 1 hospital (incidence rate ratio [IRR], 0.47; 95% confidence interval [CI], 0.26-0.87; P = .016), but not the other (IRR, 0.83; 95% CI, 0.59-1.17; P = .28). Cost analyses projected a 67.9% to 72.2% probability of net savings at both hospitals due to unexpected declines in the time that RNs spent in fall-related activities. CONCLUSIONS: Incorporating fall prevention into hourly rounds might improve value. Time that RNs invest in implementing quality improvement interventions can equate to sizable opportunity costs or savings.

Expanding the Role of Registered Nurses in Primary Care: A Business Case Analysis.

Primary care is evolving in response to payment reform, changes in the primary care workforce, and development of new models of work emphasizing team care. The role of registered nurses in these new models is being reexamined and reimagined, with increased registered nurse engagement in chart review prior to visits, histories and physicals, preliminary patient assessment, patient education and coaching in ordered care, delivery of care under standardized orders and protocols, transition planning, and care coordination. The business case for employing registered nurses in these new roles has not been fully addressed. This article examines the business case and financial issues in this expansion of practice. Under both fee-for-service and value-based, capitated, or shared saving models of reimbursement, there are strategies for increasing the number of registered nurses in primary care practices, and expanding the engagement of registered nurses that can increase net revenues for primary care practices, even when the costs of the additional staffing are taken into account.