Frailty Screening Using the Electronic Health Record Within a Medicare Accountable Care Organization.
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ABSTRACT:
SUBMITTER: Pajewski NM
PROVIDER: S-EPMC6777083 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature
Publications
Frailty Screening Using the Electronic Health Record Within a Medicare Accountable Care Organization.
Pajewski Nicholas M NM Lenoir Kristin K Wells Brian J BJ Williamson Jeff D JD Callahan Kathryn E KE
The journals of gerontology. Series A, Biological sciences and medical sciences 20191001 11
<h4>Background</h4>The accumulation of deficits model for frailty has been used to develop an electronic health record (EHR) frailty index (eFI) that has been incorporated into British guidelines for frailty management. However, there have been limited applications of EHR-based approaches in the United States.<h4>Methods</h4>We constructed an adapted eFI for patients in our Medicare Accountable Care Organization (ACO, N = 12,798) using encounter, diagnosis code, laboratory, medication, and Medic ...[more]
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Project description:Importance:Despite rapid diffusion of Accountable Care Organizations (ACOs), whether ACO enrollment results in observable changes in cancer screening remains unknown. Objective:To determine whether Medicare Shared Savings Program (MSSP) ACO enrollment changes the appropriateness of screening for breast, colorectal, and prostate cancers. Design, Setting, and Participants:For this population-based analysis of Medicare beneficiaries, we used Medicare data from 2007 through 2014 and evaluated changes in screening associated with ACO enrollment using differences-in-differences (DD) analyses. We then performed difference-in-difference-in-differences (DDD) analyses to determine whether observed changes in cancer screening associated with ACO enrollment were different across strata of appropriateness, defined using age (65-74 years vs ≥75 years) and predicted survival (top vs bottom quartile). Main Outcomes and Measures:Rates of breast, colorectal, and prostate cancer screening measured yearly as a proportion of eligible Medicare beneficiaries undergoing relevant screening services. Results:Among Medicare beneficiaries, comprising 39 218 652 person-years before MSSP enrollment and 17 252 345 person-years after MSSP enrollment, breast cancer screening declined among both ACO (42.7% precontract, 38.1% postcontract) and non-ACO (37.3% precontract, 34.1% postcontract) populations. The adjusted rate of decline (DD) in the ACO population exceeded the non-ACO population by 0.79% (P < .001). This decline was most pronounced among elderly women (-2.1%), with minimal observed change among younger women (-0.26%). Baseline colorectal cancer screening rates were lower than those for breast cancer among both ACO (10.1% precontract, 10.3% postcontract) and non-ACO (9.2% precontract, 9.1% postcontract) populations. We observed an adjusted 0.24% (P = .03) increase in screening associated with ACO enrollment, most pronounced among younger Medicare beneficiaries (0.36%). For breast and colorectal cancer, we observed statistically significant differences in estimates of effect between age strata, suggesting that the ACO effect on cancer screening is mediated by age (DDD for both P < .001). Prostate cancer screening declined among ACO (35.1% precontract, 28.5% postcontract) and non-ACO (31.2% precontract, 25.7% postcontract) populations. The adjusted rate of decline in the ACO population exceeded that of the non-ACO population by 1.2%. We observed no difference in estimate of effect between age strata, suggesting that the ACO-mediated changes in prostate cancer screening are similar among younger and elderly men. Results characterizing appropriateness with predicted survival mirrored those when stratified by age. Conclusions and Relevance:Medicare Shared Savings Program ACO enrollment is associated with more appropriate breast and colorectal screening, although the magnitude of the observed ACO effect is modest in the early ACO experience.
| S-EPMC5876897 | biostudies-literature
Project description:ObjectiveExamine the extent to which physician organization participation in an accountable care organization (ACO) and electronic health record (EHR) functionality are associated with greater adoption of care transition management (CTM) processes.Data sources/study settingA total of 1,398 physician organizations from the third National Study of Physician Organization survey (NSPO3), a nationally representative sample of medical practices in the United States (January 2012-May 2013).Study designWe used data from the third National Study of Physician Organization survey (NSPO3) to assess medical practice characteristics, including CTM processes, ACO participation, EHR functionality, practice type, organization size, ownership, public reporting, and pay-for-performance participation.Data collection/extraction methodsMultivariate linear regression models estimated the extent to which ACO participation and EHR functionality were associated with greater CTM capabilities, controlling for practice size, ownership, public reporting, and pay-for-performance participation.Principal findingsApproximately half (52.4 percent) of medical practices had a formal program for managing care transitions in place. In adjusted analyses, ACO participation (p < .001) and EHR functionality (p < .001) were independently associated with greater use of CTM processes among medical practices.ConclusionsThe growth of ACOs and similar provider risk-bearing arrangements across the country may improve the management of care transitions by physician organizations.
| S-EPMC5517677 | biostudies-literature
Project description:Backgroundfrailty is an especially problematic expression of population ageing. International guidelines recommend routine identification of frailty to provide evidence-based treatment, but currently available tools require additional resource.Objectivesto develop and validate an electronic frailty index (eFI) using routinely available primary care electronic health record data.Study design and settingretrospective cohort study. Development and internal validation cohorts were established using a randomly split sample of the ResearchOne primary care database. External validation cohort established using THIN database.Participantspatients aged 65-95, registered with a ResearchOne or THIN practice on 14 October 2008.Predictorswe constructed the eFI using the cumulative deficit frailty model as our theoretical framework. The eFI score is calculated by the presence or absence of individual deficits as a proportion of the total possible. Categories of fit, mild, moderate and severe frailty were defined using population quartiles.Outcomesoutcomes were 1-, 3- and 5-year mortality, hospitalisation and nursing home admission.Statistical analysishazard ratios (HRs) were estimated using bivariate and multivariate Cox regression analyses. Discrimination was assessed using receiver operating characteristic (ROC) curves. Calibration was assessed using pseudo-R(2) estimates.Resultswe include data from a total of 931,541 patients. The eFI incorporates 36 deficits constructed using 2,171 CTV3 codes. One-year adjusted HR for mortality was 1.92 (95% CI 1.81-2.04) for mild frailty, 3.10 (95% CI 2.91-3.31) for moderate frailty and 4.52 (95% CI 4.16-4.91) for severe frailty. Corresponding estimates for hospitalisation were 1.93 (95% CI 1.86-2.01), 3.04 (95% CI 2.90-3.19) and 4.73 (95% CI 4.43-5.06) and for nursing home admission were 1.89 (95% CI 1.63-2.15), 3.19 (95% CI 2.73-3.73) and 4.76 (95% CI 3.92-5.77), with good to moderate discrimination but low calibration estimates.Conclusionsthe eFI uses routine data to identify older people with mild, moderate and severe frailty, with robust predictive validity for outcomes of mortality, hospitalisation and nursing home admission. Routine implementation of the eFI could enable delivery of evidence-based interventions to improve outcomes for this vulnerable group.
| S-EPMC4846793 | biostudies-literature
Project description:ImportanceAccountable care contracts hold physician groups financially responsible for the quality and cost of health care delivered to patients. Focusing on clinically vulnerable patients, those with serious conditions who are responsible for the greatest proportion of spending, may result in the largest effects on both patient outcomes and financial rewards for participating physician groups.ObjectiveTo estimate the effect of Medicare accountable care organization (ACO) contracts on spending and high-cost institutional use for all Medicare beneficiaries and for clinically vulnerable beneficiaries.Design, setting, and participantsFor this cohort study, 2 study populations were defined: the overall Medicare population and the clinically vulnerable subgroup of Medicare beneficiaries. The overall Medicare population was based on a random 40% sample drawn from continuously enrolled fee-for-service beneficiaries with at least 1 evaluation and management visit in a calendar year. The clinically vulnerable study population included all Medicare beneficiaries 66 years or older who had at least 3 Hierarchical Condition Categories (HCCs). Beneficiaries entered the cohort during the quarter between January 2009 to December 2011 when they first had at least 3 HCCs and remained in the cohort until death. Cohort entry was restricted to the preperiod to account for potential changes in coding practices after ACO implementation. Difference-in-difference estimations were used to compare changes in health care outcomes for Medicare beneficiaries attributed to physicians in ACOs with those attributed to non-ACO physicians from January 2009 to December 2013.ExposuresMedicare ACOs beginning contracts in January 2012, April 2012, July 2012, and January 2013 through the Pioneer and Medicare Shared Savings Programs.Main outcomes and measuresTotal spending per beneficiary-quarter, spending categories, use of hospitals and emergency departments, ambulatory care sensitive admissions, and 30-day readmissions.ResultsTotal spending decreased by $34 (95% CI, -$52 to -$15) per beneficiary-quarter after ACO contract implementation across the overall Medicare population (n = 15 592 600) and decreased $114 in clinically vulnerable patients (n = 8 673 823) (95% CI, -$178 to -$50). In the overall Medicare cohort, hospitalizations and emergency department visits decreased by 1.3 and 3.0 events per 1000 beneficiaries per quarter, respectively (95% CIs: -2.1 to -0.4 and -4.8 to -1.3), and hospitalizations and emergency department visits decreased in the clinically vulnerable cohort by 2.9 and 4.1 events per 1000 beneficiaries per quarter, respectively (95% CIs: -5.2 to -0.7 and -7.1 to -1.2). Changes in total spending associated with ACOs did not vary by clinical condition of beneficiaries.Conclusions and relevanceMedicare ACO programs are associated with modest reductions in spending and use of hospitals and emergency departments. Savings were realized through reductions in use of institutional settings in clinically vulnerable patients.
| S-EPMC4969198 | biostudies-literature
Project description:ImportanceWasteful practices are widespread in the US health care system. It is unclear if payment models intended to improve health care efficiency, such as the Medicare accountable care organization (ACO) programs, discourage the provision of low-value services.ObjectiveTo assess whether the first year of the Medicare Pioneer ACO program was associated with a reduction in use of low-value services.Design, setting, and participantsIn a difference-in-differences analysis, we compared use of low-value services between Medicare fee-for-service beneficiaries attributed to health care provider groups that entered the Pioneer program (ACO group) and beneficiaries attributed to other health care providers (control group) before (2009-2011) vs after (2012) Pioneer ACO contracts began. Data analysis was conducted from December 1, 2014, to June 27, 2015. Comparisons were adjusted for beneficiaries' sociodemographic and clinical characteristics as well as for geography. We decomposed estimates according to service characteristics (clinical category, price, and sensitivity to patient preferences) and compared estimates between subgroups of ACOs with higher vs lower baseline use of low-value services.Main outcomes and measuresUse of, and spending on, 31 services in instances that provide minimal clinical benefit, measured as annual service counts per 100 beneficiaries and price-standardized annual service spending per 100 beneficiaries.ResultsDuring the precontract period, trends in the use of low-value services were similar for the ACO and control groups. The first year of ACO contracts was associated with a differential reduction (95% CI) of 0.8 low-value services per 100 beneficiaries for the ACO group (-1.2 to -0.4; P < .001), corresponding to a 1.9% differential reduction in service quantity (-2.9% to -0.9%) and a 4.5% differential reduction in spending on low-value services (-7.5% to -1.4%; P = .004). Differential reductions were similar for services less sensitive vs more sensitive to patient preferences and for higher- vs lower-priced services. The ACOs with higher than their markets' mean baseline levels of low-value service use experienced greater service reductions (-1.2 services per 100 beneficiaries; -1.7 to -0.7; P < .001) than did ACOs with use below the mean (-0.2 services per 100 beneficiaries, -0.6 to -0.2; P = .41; P = .003 for test of difference between subgroups).Conclusions and relevanceDuring its first year, the Pioneer ACO program was associated with modest reductions in low-value services, with greater reductions for organizations providing more low-value care. Accountable care organization-like risk contracts may be able to discourage use of low-value services even without specifying services to target.
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Project description:Introduction/objectivesSystematic screening for social determinants of health (SDOH), such as food and housing insecurity, is increasingly implemented in primary care, particularly in the context of Accountable Care Organizations (ACO). Despite the importance of developing effective systems for SDOH resource linkage, there is limited research examining these processes. The objective of the study was to explore facilitators and barriers to addressing SDOH identified by systematic screening in a healthcare system participating in a Medicaid ACO.MethodsThis qualitative case study took place between January and March 2020. Semi-structured interviews were conducted with fifteen staff (8 community resource staff and 7 managers) from community health centers and hospitals affiliated with a large healthcare system. Interviews were transcribed, coded, and analyzed using the Framework Method.ResultsFacilitators for addressing SDOH included maintaining updated resource lists, collaborating with community organizations, having leadership buy-in, and developing a trusting relationship with patients. Barriers to addressing SDOH included high caseloads, time constraints, inefficiencies in tracking, lack of community resources, and several specific patient characteristics. Further, resource staff expressed distress associated with having to communicate to patients that they were unable to address certain needs.ConclusionsHealth system, community, and individual-level facilitators and barriers should be considered when developing programs for addressing SDOH. Specifically, the psychological burden on resource staff is an important and underappreciated factor that could impact patient care and lead to staff burnout.
| S-EPMC7883146 | biostudies-literature
Project description:Frailty, a clinical syndrome of decreased physiologic reserve and dysregulation in multiple physiologic systems, is associated with increased risk for adverse outcomes.The aim of this retrospective, cross-sectional, correlational study was to characterize frailty in older adults admitted to a tertiary-care hospital using a biopsychosocial frailty assessment and to determine associations between frailty and time to in-hospital mortality and 30-day rehospitalization.The sample included 278 patients ?55 years old admitted to medicine units. Frailty was determined using clinical data from the electronic health record (EHR) for symptoms, syndromes, and conditions and laboratory data for four serum biomarkers. A frailty risk score (FRS) was created from 16 risk factors, and relationships between the FRS and outcomes were examined.The mean age of the sample was 70.2 years and mean FRS was 9.4 ( SD, 2.2). Increased FRS was significantly associated with increased risk of death (hazard ratio = 1.77-2.27 for 3 days ? length of stay (LOS) ?7 days), but depended upon LOS ( p < .001). Frailty was marginally associated with rehospitalization for those who did not die in hospital (adjusted odds ratio = 1.18, p = .086, area under the curve [AUC] = 0.66, 95% confidence interval for AUC = [0.57, 0.76]).Clinical data in the EHR can be used for frailty assessment. Informatics may facilitate data aggregation and decision support. Because frailty is potentially preventable and treatable, early detection is crucial to delivery of tailored interventions and optimal patient outcomes.
| S-EPMC5801547 | biostudies-literature
Project description:Existing methods of screening for substance abuse (standardized questionnaires or clinician's simply asking) have proven difficult to initiate and maintain in primary care settings. This article reports on how predictive modeling can be used to screen for substance abuse using extant data in electronic health records (EHRs). We relied on data available through Veterans Affairs Informatics and Computing Infrastructure (VINCI) for the years 2006 through 2016. We focused on 4,681,809 veterans who had at least two primary care visits; 829,827 of whom had a hospitalization. Data included 699 million outpatient and 17 million inpatient records. The dependent variable was substance abuse as identified from 89 diagnostic codes using the Agency for Healthcare Quality and Research classification of diseases. In addition, we included the diagnostic codes used for identification of prescription abuse. The independent variables were 10,292 inpatient and 13,512 outpatient diagnoses, plus 71 dummy variables measuring age at different years between 20 and 90 years. A modified naive Bayes model was used to aggregate the risk across predictors. The accuracy of the predictions was examined using area under the receiver operating characteristic (AROC) curve in 20% of data, randomly set aside for the evaluation. Many physical/mental illnesses were associated with substance abuse. These associations supported findings reported in the literature regarding the impact of substance abuse on various diseases and vice versa. In randomly set-aside validation data, the model accurately predicted substance abuse for inpatient (AROC?=?0.884), outpatient (AROC?=?0.825), and combined inpatient and outpatient (AROC?=?0.840) data. If one excludes information available after substance abuse is known, the cross-validated AROC remained high, 0.822 for inpatient and 0.817 for outpatient data. Data within EHRs can be used to detect existing or predict potential future substance abuse.
| S-EPMC6154440 | biostudies-literature
Project description:In the Medicare Shared Savings Program (MSSP), accountable care organizations (ACOs) have financial incentives to lower spending and improve quality. We used quasi-experimental methods to assess the early performance of MSSP ACOs.Using Medicare claims from 2009 through 2013 and a difference-in-differences design, we compared changes in spending and in performance on quality measures from before the start of ACO contracts to after the start of the contracts between beneficiaries served by the 220 ACOs entering the MSSP in mid-2012 (2012 ACO cohort) or January 2013 (2013 ACO cohort) and those served by non-ACO providers (control group), with adjustment for geographic area and beneficiary characteristics. We analyzed the 2012 and 2013 ACO cohorts separately because entry time could reflect the capacity of an ACO to achieve savings. We compared ACO savings according to organizational structure, baseline spending, and concurrent ACO contracting with commercial insurers.Adjusted Medicare spending and spending trends were similar in the ACO cohorts and the control group during the precontract period. In 2013, the differential change (i.e., the between-group difference in the change from the precontract period) in total adjusted annual spending was -$144 per beneficiary in the 2012 ACO cohort as compared with the control group (P=0.02), consistent with a 1.4% savings, but only -$3 per beneficiary in the 2013 ACO cohort as compared with the control group (P=0.96). Estimated savings were consistently greater in independent primary care groups than in hospital-integrated groups among 2012 and 2013 MSSP entrants (P=0.005 for interaction). MSSP contracts were associated with improved performance on some quality measures and unchanged performance on others.The first full year of MSSP contracts was associated with early reductions in Medicare spending among 2012 entrants but not among 2013 entrants. Savings were greater in independent primary care groups than in hospital-integrated groups.
| S-EPMC4963149 | biostudies-literature
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.
| S-EPMC7561039 | biostudies-literature