Literature DB >> 16449394

Quality of preventive care for diabetes: effects of visit frequency and competing demands.

Joshua J Fenton1, Michael Von Korff, Elizabeth H B Lin, Paul Ciechanowski, Bessie A Young.   

Abstract

PURPOSE: We sought to determine the association between timely receipt of diabetes-related preventive services and the longitudinal pattern of outpatient service use as characterized by a novel taxonomy that prioritized visits based on the Oregon State Prioritized Health Services List.
METHODS: We performed a cross-sectional analysis of mail survey and automated health care data for a population-based sample of patients with diabetes enrolled in a health maintenance organization in Washington State (N = 4,463). Outcomes included American Diabetes Association-recommended preventive services, including regular hemoglobin A1C (HbA1C) monitoring, retinal examination, and microalbuminuria screening. Patients with fewer than 8 visits during the 2-year study period were considered infrequent users, while patients with 8 or more visits were classified as lower-priority users if most visits were for conditions of relatively low rank on the Oregon list and as higher-priority users otherwise.
RESULTS: After adjustment for social, demographic, and clinical factors, and depression, infrequent users had significantly reduced odds of receiving at least 1 HbA1C test (odds ratio [OR] = 0.35, 95% confidence interval [CI], 0.24-0.51), retinal examination (OR = 0.74, 95% CI, 0.63-0.86), and microalbuminuria screening (OR = 0.75, 95% CI, 0.58-0.96) relative to higher-priority users during the previous year. Lower-priority users also had relatively reduced odds of receiving at least 1 HbA(1C) test (OR = 0.59, 95% CI, 0.35-1.01), retinal examination (OR = 0.68, 95% CI, 0.56-0.84), and microalbuminuria screening (OR = 0.79, 95% CI, 0.57-1.09) despite attending a similar mean number of total visits as higher-priority users.
CONCLUSIONS: Patients who attend relatively few outpatient visits or who attend more frequent visits for predominantly lower-priority conditions are more likely to receive substandard preventive care for diabetes.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16449394      PMCID: PMC1466990          DOI: 10.1370/afm.421

Source DB:  PubMed          Journal:  Ann Fam Med        ISSN: 1544-1709            Impact factor:   5.166


  26 in total

1.  Direct observation of rates of preventive service delivery in community family practice.

Authors:  K C Stange; S A Flocke; M A Goodwin; R B Kelly; S J Zyzanski
Journal:  Prev Med       Date:  2000-08       Impact factor: 4.018

2.  Chronic care clinics for diabetes in primary care: a system-wide randomized trial.

Authors:  E H Wagner; L C Grothaus; N Sandhu; M S Galvin; M McGregor; K Artz; E A Coleman
Journal:  Diabetes Care       Date:  2001-04       Impact factor: 19.112

3.  The PHQ-9: validity of a brief depression severity measure.

Authors:  K Kroenke; R L Spitzer; J B Williams
Journal:  J Gen Intern Med       Date:  2001-09       Impact factor: 5.128

4.  Use of a disease severity index for evaluation of healthcare costs and management of comorbidities of patients with diabetes mellitus.

Authors:  James L Rosenzweig; Katie Weinger; Laurinda Poirier-Solomon; Mary Rushton
Journal:  Am J Manag Care       Date:  2002-11       Impact factor: 2.229

5.  Competing demands in the office visit: what influences mammography recommendations?

Authors:  P A Nutting; M Baier; J J Werner; G Cutter; C Conry; L Stewart
Journal:  J Am Board Fam Pract       Date:  2001 Sep-Oct

6.  Competing demands from physical problems: effect on initiating and completing depression care over 6 months.

Authors:  P A Nutting; K Rost; J Smith; J J Werner; C Elliot
Journal:  Arch Fam Med       Date:  2000 Nov-Dec

7.  Health care and health status and outcomes for patients with type 2 diabetes.

Authors:  M I Harris
Journal:  Diabetes Care       Date:  2000-06       Impact factor: 19.112

8.  Influence of patients' requests for direct-to-consumer advertised antidepressants: a randomized controlled trial.

Authors:  Richard L Kravitz; Ronald M Epstein; Mitchell D Feldman; Carol E Franz; Rahman Azari; Michael S Wilkes; Ladson Hinton; Peter Franks
Journal:  JAMA       Date:  2005-04-27       Impact factor: 56.272

9.  Time use during acute and chronic illness visits to a family physician.

Authors:  Barbara Yawn; Meredith A Goodwin; Stephen J Zyzanski; Kurt C Stange
Journal:  Fam Pract       Date:  2003-08       Impact factor: 2.267

10.  Risk adjustment using automated ambulatory pharmacy data: the RxRisk model.

Authors:  Paul A Fishman; Michael J Goodman; Mark C Hornbrook; Richard T Meenan; Donald J Bachman; Maureen C O'Keeffe Rosetti
Journal:  Med Care       Date:  2003-01       Impact factor: 2.983

View more
  26 in total

1.  Nurse practitioners, physician assistants, and physicians in community health centers, 2006-2010.

Authors:  Perri Morgan; Christine Everett; Esther Hing
Journal:  Healthc (Amst)       Date:  2014-08-14

2.  Social organization of self-management support of persons with diabetes: a health systems comparison.

Authors:  Michaela Schiøtz; Anne Frølich; Allan Krasnik; Warren Taylor; John Hsu
Journal:  Scand J Prim Health Care       Date:  2012-07-30       Impact factor: 2.581

3.  Diabetes Outpatient Care and Acute Complications Before and After High-Deductible Insurance Enrollment: A Natural Experiment for Translation in Diabetes (NEXT-D) Study.

Authors:  J Frank Wharam; Fang Zhang; Emma M Eggleston; Christine Y Lu; Stephen Soumerai; Dennis Ross-Degnan
Journal:  JAMA Intern Med       Date:  2017-03-01       Impact factor: 21.873

4.  Electronic health records vs Medicaid claims: completeness of diabetes preventive care data in community health centers.

Authors:  Jennifer E Devoe; Rachel Gold; Patti McIntire; Jon Puro; Susan Chauvie; Charles A Gallia
Journal:  Ann Fam Med       Date:  2011 Jul-Aug       Impact factor: 5.166

5.  Prevalence of colorectal cancer screening among a multimorbid rural Appalachian population.

Authors:  Steven T Fleming; Nancy E Schoenberg; Yelena N Tarasenko; Kevin A Pearce
Journal:  South Med J       Date:  2011-12       Impact factor: 0.954

6.  Impact of a high-deductible health plan on outpatient visits and associated diagnostic tests.

Authors:  Sheila R Reddy; Dennis Ross-Degnan; Alan M Zaslavsky; Stephen B Soumerai; James F Wharam
Journal:  Med Care       Date:  2014-01       Impact factor: 2.983

7.  The relationship of regional hemoglobin A1c testing and amputation rate among patients with diabetes.

Authors:  Karina A Newhall; Kimon Bekelis; Bjoern D Suckow; Daniel J Gottlieb; Adrienne E Farber; Philip P Goodney; Jonathan S Skinner
Journal:  Vascular       Date:  2016-07-09       Impact factor: 1.285

Review 8.  Individualising therapy for older adults with diabetes mellitus.

Authors:  Danelle Cayea; Cynthia Boyd; Samuel C Durso
Journal:  Drugs Aging       Date:  2007       Impact factor: 3.923

9.  Division of primary care services between physicians, physician assistants, and nurse practitioners for older patients with diabetes.

Authors:  Christine M Everett; Carolyn T Thorpe; Mari Palta; Pascale Carayon; Valerie J Gilchrist; Maureen A Smith
Journal:  Med Care Res Rev       Date:  2013-07-17       Impact factor: 3.929

10.  Challenges in diabetes management with particular reference to India.

Authors:  Kavita Venkataraman; A T Kannan; Viswanathan Mohan
Journal:  Int J Diabetes Dev Ctries       Date:  2009-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.