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1.
JAMIA Open ; 2(2): 238-245, 2019 Jul.
Article in English | MEDLINE | ID: mdl-31984359

ABSTRACT

OBJECTIVES: "Meaningful Use" (MU) of electronic health records (EHRs) is a measure used by Medicare to determine whether hospitals are comprehensively using electronic tools. Whether hospitals' engagement in value-based initiatives such as MU is associated with value-defined as high quality and low costs-is unknown. Our objectives were to describe hospital participation in MU, and determine whether duration of participation is associated with value. MATERIALS AND METHODS: We linked national Medicare data with MU and other hospital-level and market data. We analyzed bivariate relationships to characterize duration of participation. We estimated inverse probability-weighted multilevel logistic regressions to evaluate whether duration of participation was associated with higher likelihood of value-operationalized as having performance on 30-day readmission and inpatient spending at or below the national average. RESULTS: Of 2860 short-term hospitals, 59% had 4 or 5 years of MU participation by 2015; 7% had 1 or 2 years. There were differences by duration of participation across location, ownership, and size. Seventeen percent of hospitals were classified as high-value. Controlling for hospital characteristics, and holding constant market location, there was no evidence of a statistical association between duration of participation and value (odds ratio = 1.05, 95% confidence interval: 0.91-1.21; P = .51). Examining the 2 outcomes separately, there was a significant relationship between duration of participation and lower Medicare inpatient spending, but not 30-day readmission. DISCUSSION: Sustained participation in MU is associated with lower Medicare spending, but not with lower readmission rates. CONCLUSION: Policy interventions aimed at increasing value may need a broader focus than EHR implementation and use.

2.
Telemed J E Health ; 25(7): 604-618, 2019 07.
Article in English | MEDLINE | ID: mdl-30129886

ABSTRACT

Background: To systematically review evidence on the feasibility and efficacy of real-time electronic notifications about patients at high risk of emergency department (ED) recidivism. Methods: Eight electronic databases were searched for empirical studies of real-time ED-based electronic tools, identifying adult patients at high risk of frequent utilization. Study selection and data extraction were performed independently by two reviewers. Qualitative data synthesis and assessment of strength of evidence were conducted through consensus discussion. Results: Of 2,256 records found through the search, 210 were duplicates, 2,004 were excluded based on abstract review, and 31 were excluded after full text review. The final sample consisted of 10 studies described in 11 articles describing the effect of real-time ED-based electronic notifications for high-risk patients. Three were randomized controlled trials (RCTs). All notifications were based on prespecified markers of risk. Seven studies integrated complex care plans into the electronic health record. Effect on ED use and length of stay (LOS) was mixed: nine studies reported decreased ED use, although results were statistically significant in only three studies; for LOS, one study reported a statistically significant reduction. Impact on cost and financial metrics was promising, with three (of three studies reporting this metric) showing improved organizational financial metrics. Three RCTs reported a reduction in opioid prescriptions. Conclusions: Real-time electronic notifications of ED providers regarding patients at high risk of ED recidivism are feasible. They may help reduce resource utilization and costs. Large knowledge gaps remain regarding patient- and provider-centered outcomes.


Subject(s)
Electronic Health Records/organization & administration , Emergency Service, Hospital/statistics & numerical data , Patient Readmission/statistics & numerical data , Humans , Length of Stay/statistics & numerical data , Patient Care Planning/organization & administration , Risk Assessment , Time Factors
3.
Health Serv Res ; 53(2): 803-823, 2018 04.
Article in English | MEDLINE | ID: mdl-28255995

ABSTRACT

OBJECTIVES: To examine trends in hospital post-acute utilization indicators and to determine whether improvement in these indicators is associated with attesting to meaningful use (MU). DATA SOURCES: Medicare claims-based, repeated measures on 30-day hospital-wide all-cause readmission and emergency department (ED) utilization rates for 160 short-stay hospitals (2009-2012); Medicare EHR Incentive Program Payments files (2011-2012); and other hospital and market data. STUDY DESIGN: Interrupted time series with concurrent comparison group. PRINCIPAL FINDINGS: Propensity score-weighted multilevel models for change demonstrate that 30-day readmission rates (unadjusted) fell from 13.4 percent in 2009 to 12.1 percent in 2012. Similarly, 30-day ED utilization declined from 18.9 percent to 17.3 percent during the same period. However, MU and non-MU hospitals were indistinguishable vis-à-vis performance. Controlling for hospital and market characteristics, MU was unrelated to 30-day readmission. In contrast, 30-day ED utilization deteriorated. CONCLUSIONS: Hospitals with MU Stage 1 designation did not show significantly higher improvement on post-acute utilization compared to their counterparts without. To achieve gains in quality and safety, potentially associated with EHRs, and to advance care coordination and patient engagement, the regulators should strengthen accountability by linking comprehensive, outcomes-based performance measures to specific MU objectives.


Subject(s)
Emergency Service, Hospital/statistics & numerical data , Meaningful Use/statistics & numerical data , Patient Readmission/statistics & numerical data , Subacute Care/statistics & numerical data , Electronic Health Records/statistics & numerical data , Humans , Insurance Claim Review , Interrupted Time Series Analysis , Medicare/statistics & numerical data , Quality of Health Care/statistics & numerical data , Residence Characteristics , United States
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