Literature DB >> 24830498

The value of all-payer claims databases to states.

Ashley Peters1, Jane Sachs2, Jo Porter3, Denise Love4, Amy Costello3.   

Abstract

All-payer claims databases are being developed in states across the nation to fill gaps in information about the health care system. The value of such databases is becoming more apparent as these databases mature and are used more frequently to help states better understand their health care utilization and costs.

Mesh:

Year:  2014        PMID: 24830498     DOI: 10.18043/ncm.75.3.211

Source DB:  PubMed          Journal:  N C Med J        ISSN: 0029-2559


  7 in total

1.  Producing comparable cost and quality results from all-payer claims databases.

Authors:  Maria de Jesus Diaz-Perez; Rita Hanover; Emilie Sites; Doug Rupp; Jim Courtemanche; Emily Levi
Journal:  Am J Manag Care       Date:  2019-05-01       Impact factor: 2.229

2.  APCDs can Provide Important Insights for Surveilling the Opioid Epidemic, With Caveats.

Authors:  Christine Buttorff; George S Wang; Gregory J Tung; Asa Wilks; Daniel Schwam; Rosalie Liccardo Pacula
Journal:  Med Care Res Rev       Date:  2021-12-22       Impact factor: 2.971

3.  Changes in Emergency Department Encounters for Vomiting After Cannabis Legalization in Colorado.

Authors:  George Sam Wang; Christine Buttorff; Asa Wilks; Daniel Schwam; Gregory Tung; Rosalie Liccardo Pacula
Journal:  JAMA Netw Open       Date:  2021-09-01

4.  Trends in bariatric surgery in Texas: an analysis of a statewide administrative database 2013-2017.

Authors:  Benjamin Clapp; William Klingsporn; Isaac Lee; Evan Liggett; Ashtyn Barrientes; Brittany Harper; Alan Tyroch
Journal:  Surg Endosc       Date:  2020-04-03       Impact factor: 4.584

5.  Characterizing the demographics of chronic pain patients in the state of Maine using the Maine all payer claims database.

Authors:  Jennifer Malon; Parth Shah; Woon Yuen Koh; Gary Cattabriga; Edward Li; Ling Cao
Journal:  BMC Public Health       Date:  2018-06-28       Impact factor: 3.295

6.  Blood glucose screening rates among Minnesota adults with hypertension, Behavioral Risk Factor Surveillance System, 2011.

Authors:  Renée S M Kidney; James M Peacock; Steven A Smith
Journal:  Prev Chronic Dis       Date:  2014-11-26       Impact factor: 2.830

7.  Day of surgery cancellation rate after preoperative telephone nurse screening or comprehensive optimization visit.

Authors:  Ronald P Olson; Ishwori B Dhakal
Journal:  Perioper Med (Lond)       Date:  2015-12-10
  7 in total

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