Literature DB >> 19231765

CKD screening and management in the Veterans Health Administration: the impact of system organization and an innovative electronic record.

Thakor G Patel1, Leonard M Pogach, Robert H Barth.   

Abstract

At the beginning of this decade, Healthy People 2010 issued a series of objectives to "reduce the incidence, morbidity, mortality and health care costs of chronic kidney disease." A necessary feature of any program to reduce the burden of kidney disease in the US population must include mechanisms to screen populations at risk and institute early the aspects of management, such as control of blood pressure, management of diabetes, and, in patients with advanced chronic kidney disease (CKD), preparation for dialysis therapy and proper vascular access management, that can retard CKD progression and improve long-term outcome. The Department of Veterans Affairs and the Veterans Health Administration is a broad-based national health care system that is almost uniquely situated to address these issues and has developed a number of effective approaches using evidence-based clinical practice guidelines, performance measures, innovative use of a robust electronic medical record system, and system oversight during the past decade. In this report, we describe the application of this systems approach to the prevention of CKD in veterans through the treatment of risk factors, identification of CKD in veterans, and oversight of predialysis and dialysis care. The lessons learned and applicability to the private sector are discussed.

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Year:  2009        PMID: 19231765     DOI: 10.1053/j.ajkd.2008.07.051

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  20 in total

1.  Recognition of CKD after the introduction of automated reporting of estimated GFR in the Veterans Health Administration.

Authors:  Virginia Wang; Matthew L Maciejewski; Bradley G Hammill; Rasheeda K Hall; Lynn Van Scoyoc; Amit X Garg; Arsh K Jain; Uptal D Patel
Journal:  Clin J Am Soc Nephrol       Date:  2013-10-31       Impact factor: 8.237

2.  A pilot trial of a computerized renal template note to improve resident knowledge and documentation of kidney disease.

Authors:  S Shirazian; R Wang; D Moledina; V Liberman; J Zeidan; D Strand; J Mattana
Journal:  Appl Clin Inform       Date:  2013-11-13       Impact factor: 2.342

3.  A technology-based quality innovation to identify undiagnosed hypertension among active primary care patients.

Authors:  Michael K Rakotz; Bernard G Ewigman; Menaka Sarav; Ruth E Ross; Ari Robicsek; Chad W Konchak; Thomas F Gavagan; David W Baker; David J Hyman; Kenneth P Anderson; Christopher M Masi
Journal:  Ann Fam Med       Date:  2014-07       Impact factor: 5.166

4.  Facility-Level Variations in Kidney Disease Care among Veterans with Diabetes and CKD.

Authors:  Sankar D Navaneethan; Julia M Akeroyd; David Ramsey; Sarah T Ahmed; Shiva Raj Mishra; Laura A Petersen; Paul Muntner; Christie Ballantyne; Wolfgang C Winkelmayer; Venkat Ramanathan; Salim S Virani
Journal:  Clin J Am Soc Nephrol       Date:  2018-11-29       Impact factor: 8.237

Review 5.  Early chronic kidney disease: diagnosis, management and models of care.

Authors:  Olivier J Wouters; Donal J O'Donoghue; James Ritchie; Panos G Kanavos; Andrew S Narva
Journal:  Nat Rev Nephrol       Date:  2015-06-09       Impact factor: 28.314

6.  Arteriovenous fistulas among incident hemodialysis patients in Department of Defense and Veterans Affairs facilities.

Authors:  Frank P Hurst; Kevin C Abbott; Dominic Raj; Mahesh Krishnan; Carlos E Palant; Lawrence Y Agodoa; Rahul M Jindal
Journal:  J Am Soc Nephrol       Date:  2010-08-12       Impact factor: 10.121

7.  Impact of automated reporting of estimated glomerular filtration rate in the veterans health administration.

Authors:  Virginia Wang; Bradley G Hammill; Matthew L Maciejewski; Rasheeda K Hall; Lynn Van Scoyoc; Amit X Garg; Arsh K Jain; Uptal D Patel
Journal:  Med Care       Date:  2015-02       Impact factor: 2.983

8.  Rate of kidney function decline associates with mortality.

Authors:  Ziyad Al-Aly; Angelique Zeringue; John Fu; Michael I Rauchman; Jay R McDonald; Tarek M El-Achkar; Sumitra Balasubramanian; Diana Nurutdinova; Hong Xian; Kevin Stroupe; Kevin C Abbott; Seth Eisen
Journal:  J Am Soc Nephrol       Date:  2010-10-14       Impact factor: 10.121

9.  Estimating prevalence of CKD stages 3-5 using health system data.

Authors:  Vahakn B Shahinian; Elizabeth Hedgeman; Brenda W Gillespie; Eric W Young; Bruce Robinson; Chi-Yuan Hsu; Laura C Plantinga; Nilka Ríos Burrows; Paul Eggers; Sharon Saydah; Neil R Powe; Rajiv Saran
Journal:  Am J Kidney Dis       Date:  2013-03-13       Impact factor: 8.860

10.  Use of electronic health records and administrative data for public health surveillance of eye health and vision-related conditions in the United States.

Authors:  Amanda F Elliott; Arthur Davidson; Flora Lum; Michael F Chiang; Jinan B Saaddine; Xinzhi Zhang; John E Crews; Chiu-Fang Chou
Journal:  Am J Ophthalmol       Date:  2012-12       Impact factor: 5.258

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