Literature DB >> 11711016

Rate of case reporting, physician compliance, and practice volume in a practice-based research network study.

J L Temte1, J W Beasley.   

Abstract

OBJECTIVE: Practice-based research is one method for answering questions about common problems that are seen infrequently in referral centers. We explored the potential limitations of this method. STUDY
DESIGN: This was a prospective observational cohort study of participants in a practice-based research network who submitted data on 231 patients with dyspepsia from a total of 45,337 patient encounters over a 53-week period. Reporting of individual cases involved use of a relatively high-burden data instrument. Outcome measures were compared using rank correlation. POPULATION: We included 18 physicians in a Wisconsin research network study on initial management of dyspepsia in primary care settings. OUTCOMES MEASURED: The outcomes we measured were the rate of dyspepsia visits, average weekly patient volume, and self-reported compliance to the study protocol for each physician.
RESULTS: A significant negative correlation existed between physician patient volume and the reported rate of dyspepsia visits. Self?reported compliance with the protocol was negatively correlated to patient volume and positively correlated to the reported rate of dyspepsia visits.
CONCLUSIONS: Practice volume may influence the results in practice-based research. Investigators using practice-base research networks need to consider the complexity of their protocols and should be cognizant of compliance-sensitive measures.

Entities:  

Mesh:

Year:  2001        PMID: 11711016

Source DB:  PubMed          Journal:  J Fam Pract        ISSN: 0094-3509            Impact factor:   0.493


  3 in total

1.  Clinician and Staff Perspectives on Participating in Practice-based Research (PBR): A Report from the Wisconsin Research and Education Network (WREN).

Authors:  Amanda E Hoffmann; Erin K Leege; Mary Beth Plane; Katherine A Judge; Amy L Irwin; Regina M Vidaver; David L Hahn
Journal:  J Am Board Fam Med       Date:  2015 Sep-Oct       Impact factor: 2.657

2.  Toward a theoretical approach to medical error reporting system research and design.

Authors:  Ben-Tzion Karsh; Kamisha Hamilton Escoto; John W Beasley; Richard J Holden
Journal:  Appl Ergon       Date:  2005-09-22       Impact factor: 3.940

3.  Suggestion of a simpler and faster influenza-like illness surveillance system using 2014-2018 claims data in Korea.

Authors:  HeeKyoung Choi; Won Suk Choi; Euna Han
Journal:  Sci Rep       Date:  2021-05-27       Impact factor: 4.379

  3 in total

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