Spending On Care After Surgery Driven By Choice Of Care Settings Instead Of Intensity Of Services.
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ABSTRACT:
SUBMITTER: Chen LM
PROVIDER: S-EPMC5500192 | biostudies-literature | 2017 Jan
REPOSITORIES: biostudies-literature
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Spending On Care After Surgery Driven By Choice Of Care Settings Instead Of Intensity Of Services.
Chen Lena M LM Norton Edward C EC Banerjee Mousumi M Regenbogen Scott E SE Cain-Nielsen Anne H AH Birkmeyer John D JD
Health affairs (Project Hope) 20170101 1
The rising popularity of episode-based payment models for surgery underscores the need to better understand the drivers of variability in spending on postacute care. Examining postacute care spending for fee-for-service Medicare beneficiaries after three common surgical procedures in the period 2009-12, we found that it varied widely between hospitals in the lowest versus highest spending quintiles for postacute care, with differences of 129 percent for total hip replacement, 103 percent for cor ...[more]
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Project description:BackgroundSurgical care among older adults is costly. While Medicare accountable care organizations (ACOs) are designed around primary care, there are reasons to believe that participation may also affect spending on surgery. This study examines the impact that Medicare ACO alignment has on spending for inpatient and outpatient surgical care.Study designWe conducted a retrospective cohort study using national Medicare claims (2008 through 2015). Among a 20% random sample of beneficiaries, we identified adults 65 years of age and older enrolled in fee-for-service Medicare, distinguishing between those aligned and unaligned with a Medicare ACO. We then measured payments for surgical services made on their behalf. Finally, we fit multivariable regression models to evaluate the association between ACO alignment and spending for inpatient and outpatient surgical care.ResultsWe identified 37,249,845 beneficiary-year observations, of which 2,950,188 (7.9%) were aligned with a Medicare ACO. After adjustment for patient factors, ACO alignment was associated with $181 [95% confidence interval (CI), -$243 to -$118; P <0.001] lower spending per beneficiary-year. ACO alignment was associated with 2.9% fewer inpatient surgical episodes per year [incidence rate ratio (IRR), 0.97; 95% CI, 0.96 to 0.98; P <0.001] but 2.3% more outpatient episodes per year (IRR, 1.02; 95% CI, 1.02 to 1.03; P <0.001). Among inpatient surgical episodes, average payments were $956 lower for ACO aligned beneficiaries (95%CI -$1218 to -$694, P <0.001).Conclusions and relevanceACO alignment was associated with savings on surgical care. These savings resulted from increased outpatient surgery and reduced use of inpatient surgery as well as reduced spending per inpatient surgical episode. Greater focus on surgical care may improve the ability of ACOs to control healthcare spending.
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Project description:BACKGROUND:Evidence is lacking to support the use of specialized anesthesia providers in minor surgical operations for patients without medical necessity. The authors sought to estimate the extent of potentially discretionary service use (anesthesiologist-administered anesthesia services among low-risk patients). METHODS:The authors performed a retrospective claims analysis using the Truven MarketScan Database to estimate the prevalence and cost of anesthesiologist-administered anesthesia services provided to patients undergoing minor hand surgery (i.e., carpal tunnel release, trigger finger release, or de Quervain release) from 2010 to 2015. A predictive probability model was created to estimate patient risk status. The authors examined the relationship between patient risk status and anesthesia use using multivariable regression models. RESULTS:Of 441,579 eligible procedures, 352,779 (80 percent) involved anesthesiologist-administered anesthesia services. The total proportion of estimated anesthesiologist-administered anesthesia use in low-risk patients who did not need anesthesiologist support declined over the study period (from 69.7 percent in 2010 to 65.8 percent in 2015). Although total payments for these services remained steady between 2010 and 2014, the average payment per procedure increased regardless of procedure type (from $376.8 in 2010 to $427.9 in 2015 for a carpal tunnel release operation). Approximately 83.7 percent of payments ($133 million) to anesthesia providers is credited to services in low-risk patients. CONCLUSIONS:Anesthesiologist-administered anesthesia services are commonly rendered to low-risk surgical patients. Existing health care reform efforts do not adequately address discretionary services that can be a targeted area for cost saving. It is important to consider the implications of potentially discretionary use of specialized anesthesia providers, particularly with the advancement of bundled payment models.
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Project description:BackgroundUptake of pre-exposure prophylaxis (PrEP) in the US has been limited. Evidence for why and how PrEP has been successfully integrated into some clinical settings, but not in others is minimal. To address this gap, we conducted a qualitative study to identify contextual factors that facilitated and challenged the implementation of PrEP services.SettingIn partnership with the NYC Department of Health, we convened a planning committee with expertise with groups highly affected by the HIV epidemic employed in diverse health care settings, to guide the project. Representatives from programs within New York were targeted for participation initially and subsequently expanded nationally to enhance diversity in program type.MethodsUsing an interview guide informed by the Consolidated Framework for Implementation Research, we conducted 20 interviews with participants who successfully implemented PrEP programs in different settings (eg, primary care, emergency department, sexual health clinics), using different delivery models. We used template and matrix analysis to identify and characterize contextual determinants and implementation strategies.ResultsParticipants frequently described determinants and strategies fluidly and conceptualized them in context-specific terms. Commonly discussed Consolidated Framework for Implementation Research constructs included implementation climate (tension for change, compatibility, relatively priority), stakeholders' knowledge (or lack thereof) and beliefs about PrEP, and costs associated with PrEP implementation.ConclusionOur work identifies patterns in PrEP program implementation, describing how organizations dealt with determinants in their own context. Our research points to the need to connect rigorous implementation research with how frontline implementers conceptualize their work to inform and improve PrEP implementation.
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Project description:ObjectiveWe sought to describe the differences in health care spending and utilization among patients who develop persistent postoperative opioid use.Summary of background dataAlthough persistent opioid use following surgery has garnered concern, its impact on health care costs and utilization remains unknown.MethodsWe examined insurance claims among 133,439 opioid-naive adults undergoing surgery. Outcomes included 6-month postoperative health care spending; proportion of spending attributable to admission, readmission, ambulatory or emergency care; monthly spending 6 months before and following surgery. We defined persistent opioid use as continued opioid fills beyond 3 months postoperatively. We used linear regression to estimate outcomes adjusting for clinical covariates.ResultsIn this cohort, 8103 patients developed persistent opioid use. For patients who underwent inpatient procedures, new persistent opioid use was associated with health care spending (+$2700 per patient, P < 0.001) compared with patients who did not develop new persistent use. For patients who underwent outpatient procedures, new persistent opioid use was similarly correlated with higher health care spending (+$1500 per patient, P < 0.001) compared with patients who did not develop new persistent use. Patients without persistent opioid use returned to baseline health care spending within 6 months, regardless of other complications. However, patients with persistent opioid use had sustained increases in spending by approximately $200 per month.ConclusionUnlike other postoperative complications, persistent opioid use is associated with sustained increases in spending due to greater readmissions and ambulatory care visits. Early identification of patients vulnerable to persistent use may enhance the value of surgical care.
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Project description:To compare health care use and spending of Medicaid enrollees seen at federally qualified health centers versus non-health center settings in a context of significant growth.Using fee-for-service Medicaid claims from 13 states in 2009, we compared patients receiving the majority of their primary care in federally qualified health centers with propensity score-matched comparison groups receiving primary care in other settings.We found that health center patients had lower use and spending than did non-health center patients across all services, with 22% fewer visits and 33% lower spending on specialty care and 25% fewer admissions and 27% lower spending on inpatient care. Total spending was 24% lower for health center patients.Our analysis of 2009 Medicaid claims, which includes the largest sample of states and more recent data than do previous multistate claims studies, demonstrates that the health center program has provided a cost-efficient setting for primary care for Medicaid enrollees.
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Project description:BackgroundCentralizing specialist cancer surgery services aims to reduce variations in quality of care and improve patient outcomes, but increases travel demands on patients and families. This study aimed to evaluate preferences of patients, health professionals and members of the public for the characteristics associated with centralization.MethodsA discrete-choice experiment was conducted, using paper and electronic surveys. Participants comprised: former and current patients (at any stage of treatment) with prostate, bladder, kidney or oesophagogastric cancer who previously participated in the National Cancer Patient Experience Survey; health professionals with experience of cancer care (11 types including surgeons, nurses and oncologists); and members of the public. Choice scenarios were based on the following attributes: travel time to hospital, risk of serious complications, risk of death, annual number of operations at the centre, access to a specialist multidisciplinary team (MDT) and specialist surgeon cover after surgery.ResultsResponses were obtained from 444 individuals (206 patients, 111 health professionals and 127 members of the public). The response rate was 52·8 per cent for the patient sample; it was unknown for the other groups as the survey was distributed via multiple overlapping methods. Preferences were particularly influenced by risk of complications, risk of death and access to a specialist MDT. Participants were willing to travel, on average, 75 min longer in order to reduce their risk of complications by 1 per cent, and over 5 h longer to reduce risk of death by 1 per cent. Findings were similar across groups.ConclusionRespondents' preferences in this selected sample were consistent with centralization.
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Project description:In recent years direct ownership of physician practices by hospitals and health systems (that is, vertical integration) has become a prominent feature of the US health care system. One unexplored impact of vertical integration is the impact on referral patterns for common diagnostic tests and procedures and the associated spending. Using a 100 percent sample of 2013-16 Medicare fee-for-service claims data, we examined whether hospital and health system ownership of physician practices was associated with changes in site of care and Medicare reimbursement rates for ten common diagnostic imaging and laboratory services. After vertical integration, the monthly number of diagnostic imaging tests per 1,000 attributed beneficiaries performed in a hospital setting increased by 26.3 per 1,000, and the number performed in a nonhospital setting decreased by 24.8 per 1,000. Hospital-based laboratory tests increased by 44.5 per 1,000 attributed beneficiaries, and non-hospital-based laboratory tests decreased by 36.0 per 1,000. Average Medicare reimbursement rose by $6.38 for imaging tests and $0.57 for laboratory tests, which translates to $40.2 million and $32.9 million increases in Medicare spending, respectively, for the entire study period. This study highlights how the growing trend of vertical integration, combined with differences in Medicare payment between hospitals and nonhospital providers, leads to higher Medicare spending.
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Project description:BackgroundDecades-long efforts to require parity between behavioral and physical health insurance coverage culminated in the comprehensive federal Mental Health Parity and Addiction Equity Act.ObjectivesTo determine the association between federal parity and changes in mental health care utilization and spending, particularly among high utilizers.Research designDifference-in-differences analyses compared changes before and after exposure to federal parity versus a comparison group.SubjectsCommercially insured enrollees aged 18-64 with a mental health disorder drawn from 24 states where self-insured employers were newly subject to federal parity in 2010 (exposure group), but small employers were exempt before-and-after parity (comparison group). A total of 11,226 exposure group members were propensity score matched (1:1) to comparison group members, all of whom were continuously enrolled from 1 year prepolicy to 1-2 years postpolicy.MeasuresMental health outpatient visits, out-of-pocket spending for these visits, emergency department visits, and hospitalizations.ResultsRelative to comparison group members, mean out-of-pocket spending per outpatient mental health visit declined among exposure enrollees by $0.74 (1.40, 0.07) and $2.03 (3.17, 0.89) in years 1 and 2 after the policy, respectively. Corresponding annual mental health visits increased by 0.31 (0.12, 0.51) and 0.59 (0.37, 0.81) per enrollee. Difference-in-difference changes were larger for the highest baseline quartile mental health care utilizers [year 2: 0.76 visits per enrollee (0.14, 1.38); relative increase 10.07%] and spenders [year 2: $-2.28 (-3.76, -0.79); relative reduction 5.91%]. There were no significant difference-in-differences changes in emergency department visits or hospitalizations.ConclusionsIn 24 states, commercially insured high utilizers of mental health services experienced modest increases in outpatient mental health visits 2 years postparity.
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Project description:ImportanceCurrent approaches to predicting health care costs generally rely on a single composite value of spending and focus on short time horizons. By contrast, examining patients' spending patterns using dynamic measures applied over longer periods may better identify patients with different spending and help target interventions to those with the greatest need.ObjectiveTo classify patients by their long-term, dynamic health care spending patterns using a data-driven approach and assess the ability to predict spending patterns, particularly using characteristics that are potentially modifiable through intervention.Design, setting, and participantsThis cohort study used a retrospective cohort design from a random nationwide sample of Medicare fee-for-service administrative claims data to identify beneficiaries aged 65 years or older with continuous eligibility from 2011 to 2013. Statistical analysis was performed from August 2018 to December 2019.Main outcomes and measuresGroup-based trajectory modeling was applied to the claims data to classify the Medicare beneficiaries by their total health care spending patterns over a 2-year period. The ability to predict membership in each trajectory spending group was assessed using generalized boosted regression, a data mining approach to model building and prediction, with split-sample validation. Models were estimated using (1) prior-year predictors and (2) prior-year predictors potentially modifiable through intervention measured in the claims data. These models were evaluated using validated C-statistics. The relative influence of individual predictors in the models was evaluated.ResultsAmong the 329 476 beneficiaries, the mean (SD) age was 76.0 (7.2) years and 190 346 (57.8%) were female. This final 5-group model included a minimal-user group (group 1, 37 572 individuals [11.4%]), a low-cost group (group 2, 48 575 individuals [14.7%]), a rising-cost group (group 3, 24 736 individuals [7.5%]), a moderate-cost group (group 4, 83 338 individuals [25.3%]), and a high-cost group (group 5, 135 255 individuals [41.2%]). Potentially modifiable characteristics strongly predicted these patterns (C-statistics range: 0.68-0.94). For groups with progressively increasing spending in particular, the most influential factors were number of medications (relative influence: 29.2), number of office visits (relative influence: 30.3), and mean medication adherence (relative influence: 33.6).Conclusions and relevanceUsing a data-driven approach, distinct spending patterns were identified with high accuracy. The potentially modifiable predictors of membership in the rising-cost group represent important levers for early interventions that may prevent later spending increases. This approach could be adapted by organizations to target quality improvement interventions, particularly because numerous health care organizations are increasingly using these routinely collected data.
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