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OBJECTIVE: To test the hypothesis that health systems provide better care to patients with high needs by comparing differences in quality between system‐affiliated and nonaffiliated physician organizations (POs) and to examine variability in quality across health systems. DATA SOURCES: 2015 Medicare Data on Provider Practice and Specialty linked physicians to POs. Medicare Provider Enrollment, Chain, and Ownership System (PECOS) and IRS Form 990 data identified health system affiliations. Fee‐for‐service Medicare enrollment and claims data were used to examine quality. STUDY DESIGN: This cross‐sectional analysis of beneficiaries with high needs, defined as having more than twice the expected spending of an average beneficiary, examined six quality measures: continuity of care, follow‐up visits after hospitalizations and emergency department (ED) visits, ED visits, all‐cause readmissions, and ambulatory care‐sensitive hospitalizations. Using a matched‐pair design, we estimated beneficiary‐level regression models with PO random effects to compare quality of care in system‐affiliated and nonaffiliated POs. We then limited the sample to system‐affiliated POs and estimated models with system random effects to examine variability in quality across systems. PRINCIPAL FINDINGS: Among 2 323 301 beneficiaries with high needs, 52.3% received care from system‐affiliated POs. Rates of ED visits were statistically significantly different in system‐affiliated POs (117.5 per 100) and nonaffiliated POs (106.8 per 100, P

OBJECTIVE: To assess racial and ethnic disparities in care for Medicare fee‐for‐service (FFS) beneficiaries and whether disparities differ between health system‐affiliated physician organizations (POs) and nonaffiliated POs. DATA SOURCES: We used Medicare Data on Provider Practice and Specialty (MD‐PPAS), Medicare Provider Enrollment, Chain, and Ownership System (PECOS), IRS Form 990, 100% Medicare FFS claims, and race/ethnicity estimated using the Medicare Bayesian Improved Surname Geocoding 2.0 algorithm. STUDY DESIGN: Using a sample of 16 007 POs providing primary care in 2015, we assessed racial/ethnic disparities on 12 measures derived from claims (2 cancer screenings; diabetic eye examinations; continuity of care; two medication adherence measures; three measures of follow‐up visits after acute care; all‐cause emergency department (ED) visits, all‐cause readmissions, and ambulatory care‐sensitive admissions). We decomposed these “total” disparities into within‐PO and between‐PO components using models with PO random effects. We then pair‐matched 1853 of these POs that were affiliated with health systems to similar nonaffiliated POs. We examined differences in within‐PO disparities by affiliation status by interacting each nonwhite race/ethnicity with an affiliation indicator. DATA COLLECTION/EXTRACTION METHODS: Medicare Data on Provider Practice and Specialty identified POs billing Medicare; PECOS and IRS Form 990 identified health system affiliations. Beneficiaries age 18 and older were attributed to POs using a plurality visit rule. PRINCIPAL FINDINGS: We observed total disparities in 12 of 36 comparisons between white and nonwhite beneficiaries; nonwhites received worse care in 10. Within‐PO disparities exceeded between‐PO disparities and were substantively important (>=5 percentage points or>=0.2 standardized differences) in nine of the 12 comparisons. Among these 12, nonaffiliated POs had smaller disparities than affiliated POs in two comparisons (P

Key Points Question Is the adoption of more advanced electronic health record (EHR) capabilities associated with better ambulatory clinical quality of care? Findings In cross-sectional analyses of 3 states from 2014 to 2017, ambulatory clinics (769-972 per year) with more advanced EHR capabilities had higher scores on a composite measure of ambulatory clinical quality than did other clinics, which translated into an approximately 9% difference in rank order of quality. Across the much smaller number of clinics that gained advanced EHR capabilities between 2014 and 2017 (n = 72), the composite of ambulatory clinical quality improved more than for other clinics, but the difference was not statistically significant. Meaning This study suggests that ambulatory clinics with advanced EHR capabilities were associated with a better performance on a composite measure of ambulatory clinical quality than clinics with less-advanced EHR capabilities; clinics that adopted advanced EHR capabilities during a 3-year period were not associated with significant increases in ambulatory clinical quality performance., Importance Electronic health records (EHRs) are widely promoted to improve the quality of health care, but information about the association of multifunctional EHRs with broad measures of quality in ambulatory settings is scarce. Objective To assess the association between EHRs with different degrees of capabilities and publicly reported ambulatory quality measures in at least 3 clinical domains of care. Design, Setting, and Participants This cross-sectional and longitudinal study was conducted using survey responses from 1141 ambulatory clinics in Minnesota, Washington, and Wisconsin affiliated with a health system that responded to the Healthcare Information and Management Systems Society Annual Survey and reported performance measures in 2014 to 2017. Statistical analysis was performed from July 10, 2019, through February 26, 2021. Main Outcomes and Measures A composite measure of EHR capability that considered 50 EHR capabilities in 7 functional domains, grouped into the following ordered categories: no functional EHR, EHR underuser, EHR, neither underuser or superuser, EHR superuser; as well as a standardized composite of ambulatory clinical performance measures that included 3 to 25 individual measures (median, 13 individual measures). Results In 2014, 381 of 746 clinics (51%) were EHR superusers; this proportion increased in each subsequent year (457 of 846 clinics [54%] in 2015, 510 of 881 clinics [58%] in 2016, and 566 of 932 clinics [61%] in 2017). In each cross-sectional analysis year, EHR superusers had better clinical quality performance than other clinics (adjusted difference in score: 0.39 [95% CI, 0.12-0.65] in 2014; 0.29 [95% CI, −0.01 to 0.59] in 2015; 0.26 [95% CI, –0.05 to 0.56] in 2016; and 0.20 [95% CI, –0.04 to 0.45] in 2017). This difference in scores translates into an approximately 9% difference in a clinic’s rank order in clinical quality. In longitudinal analyses, clinics that progressed to EHR superuser status had only slightly better gains in clinical quality between 2014 and 2017 compared with the gains in clinical quality of clinics that were static in terms of their EHR status (0.10 [95% CI, −0.13 to 0.32]). In an exploratory analysis, different types of EHR capability progressions had different degrees of associated improvements in ambulatory clinical quality (eg, progression from no functional EHR to a status short of superuser, 0.06 [95% CI, −0.40 to 0.52]; progression from EHR underuser to EHR superuser, 0.18 [95% CI, −0.14 to 0.50]). Conclusions and Relevance Between 2014 and 2017, ambulatory clinics in Minnesota, Washington, and Wisconsin with EHRs having greater capabilities had better composite measures of clinical quality than other clinics, but clinics that gained EHR capabilities during this time had smaller increases in clinical quality that were not statistically significant., This cross-sectional study assesses the association between electronic health records with different degrees of capabilities and publicly reported ambulatory quality measures in at least 3 clinical domains of care.

This cross-sectional study examines changes in low-value care use and spending from 2014 to 2018 among the fee-for-service Medicare population., Key Points Question Have low-value care use and spending decreased over time with increasing focus on reducing waste in the US health care system? Findings In this cross-sectional study of more than 21 million individuals with fee-for-service Medicare, the percentage receiving any of 32 measured low-value services decreased marginally from 2014 to 2018. Claim line–level spending on low-value care per 1000 individuals did not decrease substantially over this period. Meaning This study found that among individuals with fee-for-service Medicare receiving any of 32 measured services, low-value care use and spending decreased marginally from 2014 to 2018, despite a national education campaign to address low-value care and increased attention on reducing health care waste., Importance Low-value care, defined as care offering no net benefit in specific clinical scenarios, is associated with harmful outcomes in patients and wasteful spending. Despite a national education campaign and increasing attention on reducing health care waste, recent trends in low-value care delivery remain unknown. Objective To assess national trends in low-value care use and spending. Design, Setting, and Participants In this cross-sectional study, analyses of low-value care use and spending from 2014 to 2018 were conducted using 100% Medicare fee-for-service enrollment and claims data. Included individuals were aged 65 years or older and continuously enrolled in Medicare parts A, B, and D during each measurement year and the previous year. Data were analyzed from September 2019 through December 2020. Exposure Being enrolled in fee-for-service Medicare for a period of time, in years. Main Outcomes and Measures The Milliman MedInsight Health Waste Calculator was used to assess 32 claims-based measures of low-value care associated with Choosing Wisely recommendations and other professional guidelines. The calculator designates services as wasteful, likely wasteful, or not wasteful based on an absence of indication of appropriate use in the claims history; calculator-designated wasteful services were defined as low-value care. Spending was calculated as claim-line level (ie, spending on the low-value service) and claim level (ie, spending on the low-value service plus associated services), adjusting for inflation. Results Among 21 045 759 individuals with fee-for-service Medicare (mean [SD] age, 77.4 [7.9] years; 12 515 915 [59.5%] women), the percentage receiving any of 32 low-value services decreased from 36.3% (95% CI, 36.3%-36.4%) to 33.6% (95% CI, 33.6%-33.6%) from 2014 to 2018. Uses of low-value services per 1000 individuals decreased from 677.8 (95% CI, 676.2-679.5) to 632.7 (95% CI, 632.6-632.8) from 2014 to 2018. Three services comprised approximately two-thirds of uses among 32 low-value services per 1000 individuals: preoperative laboratory testing decreased from 213.8 (95% CI, 213.4-214.2) to 166.2 (95% CI, 166.2-166.2), while opioids for back pain increased from 154.4 (95% CI, 153.6-155.2) to 182.1 (95% CI, 182.1-182.1) and antibiotics for upper respiratory infections increased from 75.0 (95% CI, 75.0-75.1) to 82 (95% CI, 82.0-82.0). Spending per 1000 individuals on low-value care also decreased, from $52 765.5 (95% CI, $51 952.3-$53 578.6) to $46 921.7 (95% CI, $46 593.7-$47 249.7) at the claim-line level and from $160 070.4 (95% CI, $158 999.8-$161 141.0) to $144 741.1 (95% CI, $144 287.5-$145 194.7) at the claim level. Conclusions and Relevance This cross-sectional study found that among individuals with fee-for-service Medicare receiving any of 32 measured services, low-value care use and spending decreased marginally from 2014 to 2018, despite a national education campaign in collaboration with clinician specialty societies and increased attention on low-value care. While most use of low-value care came from 3 services, 1 of these was opioid prescriptions, which increased over time despite the harms associated with their use. These findings may represent several opportunities to prevent patient harm and lower spending.

My Career Advancement Account Scholarships are intended to help military spouses with education and employment. The percentage of eligible spouses working declined over time, but users were more likely than nonusers to be working two years later.

Why should deployment affect re‐enlistment? In our model, members enter the military with naive beliefs about deployment and use actual deployment experience to update their beliefs and revise their expected utility of re‐enlisting. Empirically, re‐enlistment is related to the type and number of deployments, consistent with the learning model. Non‐hostile deployment increases first‐term re‐enlistment but hostile deployment has little effect except for the Army, where the effect is positive. Both types increase second‐term re‐enlistment. Interestingly, first‐term members with dependants tend to respond to deployment like second‐term members. In addition, deployment acts directly to affect re‐enlistment, not indirectly through time to promotion.

In addition to boosting and restructuring military pay, the National Defense Authorization Act for Fiscal Year 2000 required the Secretary of Defense to submit to Congress an annual report assessing the effects of the act on recruiting and retention. This research brief assesses the effects of the act on recruiting and retention and reviews the context of military recruiting and retention in recent years.

RAND researchers analyzed personnel records from the 1990s to determine whether deployments had an effect on the reenlistment of enlisted personnel and the retention of officer personnel.