Literature DB >> 10157263

USQA Health Profile Database as a tool for health plan quality improvement.

N A Hanchak1, J F Murray, A Hirsch, P D McDermott, N Schlackman.   

Abstract

Managed care organizations are in a unique position to evaluate and improve the quality of care delivered to their defined memberships. Traditionally, health services delivery has been claims-focused. We describe a potentially richer, patient-centered approach, whereby patients with certain chronic diseases are first identified and then used as the unit of analysis. U.S. Quality Algorithms (USQA), a subsidiary of U.S. Healthcare (USHC) based in Blue Bell, Pennsylvania, has developed selection criteria for 36 different chronic diseases and a new database, the USQA Health Profile Database (HPD), to identify and archive patients with those diseases. Examples of how this approach and database can be used as a quality tool are demonstrated.

Entities:  

Mesh:

Year:  1996        PMID: 10157263

Source DB:  PubMed          Journal:  Manag Care Q        ISSN: 1064-5454


  5 in total

1.  Use of cholesterol-lowering therapy and related beliefs among middle-aged adults after myocardial infarction.

Authors:  John Z Ayanian; Bruce E Landon; Mary Beth Landrum; James R Grana; Barbara J McNeil
Journal:  J Gen Intern Med       Date:  2002-02       Impact factor: 5.128

2.  Treatment Patterns and Health Care Costs of Lupus Nephritis in a United States Payer Population.

Authors:  Laura Bartels-Peculis; Ajay Sharma; Alison M Edwards; Anirudh Sanyal; Erin Connolly-Strong; Winnie W Nelson
Journal:  Open Access Rheumatol       Date:  2020-06-22

3.  The epidemiology and medical management of low back pain during ambulatory medical care visits in the United States.

Authors:  John C Licciardone
Journal:  Osteopath Med Prim Care       Date:  2008-11-24

4.  Chronic kidney disease and undiagnosed atrial fibrillation in individuals with diabetes.

Authors:  Nam Ju Heo; Sang Youl Rhee; Jill Waalen; Steven Steinhubl
Journal:  Cardiovasc Diabetol       Date:  2020-09-30       Impact factor: 9.951

5.  Evaluating the relationship between clinical and demographic characteristics of insulin-using people with diabetes and their health outcomes: a cluster analysis application.

Authors:  Elizabeth L Eby; Alison Edwards; Eric Meadows; Ilya Lipkovich; Brian D Benneyworth; Kenneth Snow
Journal:  BMC Health Serv Res       Date:  2021-07-08       Impact factor: 2.655

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.