Literature DB >> 26057681

Characteristics of Newly Enrolled Members of an Integrated Delivery System after the Affordable Care Act.

Elizabeth A Bayliss1, Jennifer L Ellis2, Mary Jo Strobel3, Deanna B Mcquillan4, Irena B Petsche5, Jennifer C Barrow6, Arne Beck7.   

Abstract

Of 89,289 newly enrolled non-Medicare members, 25.3% completed the Brief Health Questionnaire between 1/1/2014, and 8/31/2014. Of these, 3593 respondents were insured through Medicaid, 9434 through the individual health exchange, and 9521 through primarily commercial plans. Of Medicaid, exchange, and commercial members, 19.5%, 7.1%, and 5.3%, respectively, self-reported fair or poor health; 12.9%, 2.0%, and 3.3% of each group self-reported 2 or more Emergency Department visits during the previous year; and 8.1%, 4.3%, and 4.4% self-reported an inpatient admission during the previous year.

Mesh:

Year:  2015        PMID: 26057681      PMCID: PMC4500475          DOI: 10.7812/TPP/14-193

Source DB:  PubMed          Journal:  Perm J        ISSN: 1552-5767


  30 in total

1.  Persons with chronic conditions. Their prevalence and costs.

Authors:  C Hoffman; D Rice; H Y Sung
Journal:  JAMA       Date:  1996-11-13       Impact factor: 56.272

Review 2.  The causal effect of health insurance on utilization and outcomes in adults: a systematic review of US studies.

Authors:  Joseph D Freeman; Srikanth Kadiyala; Janice F Bell; Diane P Martin
Journal:  Med Care       Date:  2008-10       Impact factor: 2.983

3.  Use of health-related, quality-of-life metrics to predict mortality and hospitalizations in community-dwelling seniors.

Authors:  David A Dorr; Spencer S Jones; Laurie Burns; Steven M Donnelly; Cherie P Brunker; Adam Wilcox; Paul D Clayton
Journal:  J Am Geriatr Soc       Date:  2006-04       Impact factor: 5.562

4.  Predicting persistently high primary care use.

Authors:  James M Naessens; Macaran A Baird; Holly K Van Houten; David J Vanness; Claudia R Campbell
Journal:  Ann Fam Med       Date:  2005 Jul-Aug       Impact factor: 5.166

Review 5.  Predictors of health care utilization in the chronically ill: a review of the literature.

Authors:  A G de Boer; W Wijker; H C de Haes
Journal:  Health Policy       Date:  1997-11       Impact factor: 2.980

6.  Routine emergency department use for sick care by children in the United States.

Authors:  N Halfon; P W Newacheck; D L Wood; R F St Peter
Journal:  Pediatrics       Date:  1996-07       Impact factor: 7.124

7.  Predicting mortality and healthcare utilization with a single question.

Authors:  Karen B DeSalvo; Vincent S Fan; Mary B McDonell; Stephan D Fihn
Journal:  Health Serv Res       Date:  2005-08       Impact factor: 3.402

8.  Development and validation of a model for predicting emergency admissions over the next year (PEONY): a UK historical cohort study.

Authors:  Peter T Donnan; David W T Dorward; Bill Mutch; Andrew D Morris
Journal:  Arch Intern Med       Date:  2008-07-14

9.  Responsiveness of health status measures to change among older adults.

Authors:  E H Wagner; A Z LaCroix; L C Grothaus; J A Hecht
Journal:  J Am Geriatr Soc       Date:  1993-03       Impact factor: 5.562

10.  Reports of financial disability predict functional decline and death in older patients discharged from the hospital.

Authors:  Alexander K Li; Kenneth E Covinsky; Laura P Sands; Richard H Fortinsky; Steven R Counsell; C Seth Landefeld
Journal:  J Gen Intern Med       Date:  2005-02       Impact factor: 5.128

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  1 in total

1.  Applying Sequential Analytic Methods to Self-Reported Information to Anticipate Care Needs.

Authors:  Elizabeth A Bayliss; J David Powers; Jennifer L Ellis; Jennifer C Barrow; MaryJo Strobel; Arne Beck
Journal:  EGEMS (Wash DC)       Date:  2016-07-12
  1 in total

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