Literature DB >> 32128687

Clinician-Level Variation in Three Measures Representing Overuse Based on the American Geriatrics Society Choosing Wisely Statement.

Theresa A Rowe1, Tiffany Brown2, Ji Young Lee2, Jeffrey A Linder2, Mark W Friedberg3,4,5, Jason N Doctor6, Daniella Meeker6, Jody D Ciolino2, Stephen D Persell2,7.   

Abstract

IMPORTANCE: The extent of clinician-level variation in the overuse of testing or treatment in older adults is not well understood.
OBJECTIVE: To examine clinician-level variation for three new measures of potentially inappropriate use of medical services in older adults.
DESIGN: Retrospective analysis of overall means and clinician-level variation in performance on three new measures.
SUBJECTS: Adults aged 65 years and older who had office visits with outpatient primary or immediate care clinicians within a single academic medical center health system between July 1, 2016, and June 30, 2017. MEASURES: Two electronic clinical quality measures representing potentially inappropriate use of medical services in older adults: prostate-specific antigen testing against guidelines (PSA) in men aged 76 and older; urinalysis or urine culture for non-specific reasons in women aged 65 and older; and one intermediate outcome measure: hemoglobin A1c less than 7.0 in adults aged 75 and older with diabetes mellitus treated with insulin or oral hypoglycemic medication.
RESULTS: Sixty-nine clinicians and 2009 patients contributed observations to the PSA measure, 144 clinicians and 5933 patients contributed to the urinalysis/urine culture measure, and 42 clinicians and 665 patients contributed to the diabetes measure. Meaningful clinician-level performance variation was greatest for the PSA measure (intraclass correlation coefficient [ICC] = 0.27), followed by the urinalysis/urine culture measure (ICC = 0.18), and the diabetes measure (ICC = 0.024). The range of possible overuse across clinician quartiles was 8-54% for the PSA measure, 3-35% for the urinalysis/urine culture measure, and 13-49% for the diabetes measure. The odds ratios of overuse in the highest quartile compared with the lowest for the PSA, urinalysis/urine culture, and diabetes measures were 99.3 (95% CI 43 to 228), 15.7 (10 to 24), and 6.0 (3.3 to 11), respectively.
CONCLUSIONS: Within the same health system, rates of potential overuse in elderly patients varied greatly across clinicians, particularly for the process measures examined.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32128687      PMCID: PMC7280408          DOI: 10.1007/s11606-020-05748-8

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  23 in total

1.  Analysis of Physician Variation in Provision of Low-Value Services.

Authors:  Aaron L Schwartz; Anupam B Jena; Alan M Zaslavsky; J Michael McWilliams
Journal:  JAMA Intern Med       Date:  2019-01-01       Impact factor: 21.873

2.  Infectious Diseases Society of America guidelines for the diagnosis and treatment of asymptomatic bacteriuria in adults.

Authors:  Lindsay E Nicolle; Suzanne Bradley; Richard Colgan; James C Rice; Anthony Schaeffer; Thomas M Hooton
Journal:  Clin Infect Dis       Date:  2005-02-04       Impact factor: 9.079

3.  Frequency of and variation in low-value care in primary care: a retrospective cohort study.

Authors:  Ciara Pendrith; Meghan Bhatia; Noah M Ivers; Graham Mecredy; Karen Tu; Gillian A Hawker; Susan B Jaglal; Lynn Wilson; Kimberly Wintemute; Richard H Glazier; Wendy Levinson; R Sacha Bhatia
Journal:  CMAJ Open       Date:  2017-01-20

4.  Potential overtreatment of diabetes mellitus in older adults with tight glycemic control.

Authors:  Kasia J Lipska; Joseph S Ross; Yinghui Miao; Nilay D Shah; Sei J Lee; Michael A Steinman
Journal:  JAMA Intern Med       Date:  2015-03       Impact factor: 21.873

Review 5.  6. Glycemic Targets: Standards of Medical Care in Diabetes-2019.

Authors: 
Journal:  Diabetes Care       Date:  2019-01       Impact factor: 19.112

6.  Profiling care provided by different groups of physicians: effects of patient case-mix (bias) and physician-level clustering on quality assessment results.

Authors:  Sheldon Greenfield; Sherrie H Kaplan; Richard Kahn; John Ninomiya; John L Griffith
Journal:  Ann Intern Med       Date:  2002-01-15       Impact factor: 25.391

7.  Treatment of Diabetes in Older Adults: An Endocrine Society* Clinical Practice Guideline.

Authors:  Derek LeRoith; Geert Jan Biessels; Susan S Braithwaite; Felipe F Casanueva; Boris Draznin; Jeffrey B Halter; Irl B Hirsch; Marie E McDonnell; Mark E Molitch; M Hassan Murad; Alan J Sinclair
Journal:  J Clin Endocrinol Metab       Date:  2019-05-01       Impact factor: 5.958

8.  "Tight control" in geriatrics: the emperor wears a thong.

Authors:  Thomas E Finucane
Journal:  J Am Geriatr Soc       Date:  2012-08-06       Impact factor: 5.562

9.  2017 Update on Medical Overuse: A Systematic Review.

Authors:  Daniel J Morgan; Sanket S Dhruva; Eric R Coon; Scott M Wright; Deborah Korenstein
Journal:  JAMA Intern Med       Date:  2018-01-01       Impact factor: 21.873

10.  Sources of variation in physician adherence with clinical guidelines: results from a factorial experiment.

Authors:  J B McKinlay; C L Link; K M Freund; L D Marceau; A B O'Donnell; K L Lutfey
Journal:  J Gen Intern Med       Date:  2007-03       Impact factor: 5.128

View more
  4 in total

1.  Design of Behavioral Economic Applications to Geriatrics Leveraging Electronic Health Records (BEAGLE): A pragmatic cluster randomized controlled trial.

Authors:  Tiffany Brown; Theresa A Rowe; Ji Young Lee; Lucia C Petito; Ryan Chmiel; Jody D Ciolino; Jason N Doctor; Craig R Fox; Noah J Goldstein; Darren Kaiser; Jeffrey A Linder; Daniella Meeker; Yaw Peprah; Stephen D Persell
Journal:  Contemp Clin Trials       Date:  2021-12-08       Impact factor: 2.226

2.  Examining primary care physician rationale for not following geriatric choosing wisely recommendations.

Authors:  Theresa A Rowe; Tiffany Brown; Jason N Doctor; Jeffrey A Linder; Stephen D Persell
Journal:  BMC Fam Pract       Date:  2021-05-15       Impact factor: 2.497

3.  General practitioners' reflections on using PSA for diagnosis of prostate cancer. A qualitative study.

Authors:  Olav Thorsen; Eirik Viste; Torgeir Gilje Lid; Svein R Kjosavik
Journal:  Scand J Prim Health Care       Date:  2022-04-12       Impact factor: 3.147

4.  Association of hemoglobin A1c time in range with risk for diabetes complications.

Authors:  David C Mohr; Libin Zhang; Julia C Prentice; Richard E Nelson; Donglin Li; Erin Pleasants; Paul R Conlin
Journal:  BMJ Open Diabetes Res Care       Date:  2022-07
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.