scholarly journals Health Care Spending and Utilization in Public and Private Medicare

2019 ◽  
Vol 11 (2) ◽  
pp. 302-332 ◽  
Author(s):  
Vilsa Curto ◽  
Liran Einav ◽  
Amy Finkelstein ◽  
Jonathan Levin ◽  
Jay Bhattacharya
Keyword(s):  
Health Care ◽  
Health Care Utilization ◽  
Claims Data ◽  
Care Utilization ◽  
Health Care Spending ◽  
Medicare Advantage ◽  
Public And Private ◽  
Present Evidence ◽  
Utilization Management ◽  
The Way

We compare health care spending in public and private Medicare using newly available claims data from Medicare Advantage (MA) insurers. MA insurer revenues are 30 percent higher than their health care spending. Adjusting for enrollee mix, health care spending per enrollee in MA is 9 to 30 percent lower than in Traditional Medicare (TM), depending on the way we define “comparable” enrollees. Spending differences primarily reflect differences in health care utilization, with similar reductions for “high-value” and “low-value” care, rather than health care prices. We present evidence consistent with MA plans encouraging substitution to less expensive care and engaging in utilization management. (JEL G22, H44, H51, I11, I13)

Health Care Utilization and Medical Cost Outcomes from a Digital Diabetes Prevention Program in a Medicare Advantage Population

2020 ◽  
Vol 23 (6) ◽  
pp. 414-421
Author(s):  
Douglas Barthold ◽  
Vinay Chiguluri ◽  
Rajiv Gumpina ◽  
Cynthia Castro Sweet ◽  
Jason Pieratt ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Utilization ◽  
Medical Cost ◽  
Prevention Program ◽  
Diabetes Prevention ◽  
Diabetes Prevention Program ◽  
Care Utilization ◽  
Medicare Advantage ◽  
Cost Outcomes

scholarly journals Health Care Utilization and Direct Costs Among Patients Diagnosed with Cluster Headache in U.S. Health Care Claims Data

2018 ◽  
Vol 24 (9) ◽  
pp. 921-928 ◽  
Author(s):  
Casey K. Choong ◽  
Janet H. Ford ◽  
Allen W. Nyhuis ◽  
Rebecca L. Robinson ◽  
Sheena K. Aurora
Keyword(s):  
Health Care ◽  
Health Care Utilization ◽  
Cluster Headache ◽  
Claims Data ◽  
Direct Costs ◽  
Care Utilization ◽  
Health Care Claims

scholarly journals The importance of health insurance claims data in creating learning health systems: evaluating care for high-need high-cost patients using the National Patient-Centered Clinical Research Network (PCORNet)

2019 ◽  
Vol 26 (11) ◽  
pp. 1305-1313 ◽  
Author(s):  
Maureen A Smith ◽  
Mary S Vaughan-Sarrazin ◽  
Menggang Yu ◽  
Xinyi Wang ◽  
Peter A Nordby ◽  
...  
Keyword(s):  
Health Care ◽  
Health Insurance ◽  
Case Management ◽  
Health Care Utilization ◽  
Health Systems ◽  
Claims Data ◽  
Care Utilization ◽  
Insurance Claims Data ◽  
Health Insurance Claims Data ◽  
Health Insurance Claims

Abstract Objective Case management programs for high-need high-cost patients are spreading rapidly among health systems. PCORNet has substantial potential to support learning health systems in rapidly evaluating these programs, but access to complete patient data on health care utilization is limited as PCORNet is based on electronic health records not health insurance claims data. Because matching cases to comparison patients on baseline utilization is often a critical component of high-quality observational comparative effectiveness research for high-need high-cost patients, limited access to claims may negatively affect the quality of the matching process. We sought to determine whether the evaluation of programs for high-need high-cost patients required claims data to match cases to comparison patients. Materials and Methods A retrospective cohort study design with multiple measures of before-and-after health care utilization for 1935 case management patients and 3833 matched comparison patients aged 18 years and older from 2011 to 2015. EHR and claims data were extracted from 3 health systems participating in PCORNet. Results Without matching on claims-based health care utilization, the case management programs at 2 of 3 health systems were associated with fewer hospital admissions and emergency visits over the subsequent 12 months. With matching on claims-based health care utilization, case management was no longer associated with admissions and emergency visits at those 2 programs. Discussion The results of a PCORNet-facilitated evaluation of 3 programs for high-need high-cost patients differed substantially depending on whether claims data were available for matching cases to comparison patients. Conclusions Partnering with learning health systems to rapidly evaluate programs for high-need high-cost patients will require that PCORNet facilitates comprehensive and timely access to both electronic health records and health insurance claims data.

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