Literature DB >> 15808137

Prolonging the return visit interval in primary care.

Gordon Schectman1, Gary Barnas, Prakash Laud, Laura Cantwell, Monica Horton, Edwin J Zarling.   

Abstract

PURPOSE: Extending the scheduled return visit interval has been suggested as one means to improve clinic access to the provider. However, prolonging the return visit interval may affect quality of care if prevention measures and chronic disease management receive less attention as clinic visits become less frequent. The purpose of this study was to determine whether a comprehensive education program could encourage providers to lengthen their return visit interval without compromising performance on key quality indicators. SUBJECTS AND METHODS: This was a prospective cohort study monitoring scheduling and performance data of primary care providers at the Milwaukee Veterans Affairs Medical Center. Following collection of baseline data (January through June 1999), providers were encouraged to lengthen the return visit interval while increasing reliance on nurses and other clinic staff for interim management of chronic disease. Provider-specific feedback of return visit interval and performance data was utilized to motivate behavioral change. Scheduling and clinical data were abstracted from random medical record audits performed at baseline and from July through December in the years 2000 and 2001.
RESULTS: Compared with the baseline period, the percent of patients scheduled > or =6 months was significantly increased among staff providers and medicine residents at 2 years (Staff providers: 31% vs. 62%, P <0.001; Medicine residents: 22 vs. 44%, P <0.001). Colorectal screening, pneumonia immunizations, and achievement of therapeutic goals for diabetes, hypertension, and lipid disorders significantly improved at 2 years compared with baseline measurements.
CONCLUSIONS: Educational interventions can successfully retrain providers to extend the return visit interval and reduce the scheduling of routine and perhaps unnecessary appointments. This can be accomplished without compromising important performance monitors for diabetes, lipid disorders, hypertension, and prevention.

Entities:  

Mesh:

Year:  2005        PMID: 15808137     DOI: 10.1016/j.amjmed.2005.01.003

Source DB:  PubMed          Journal:  Am J Med        ISSN: 0002-9343            Impact factor:   4.965


  9 in total

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Authors:  John D Piette; James E Aikens; Ann M Rosland; Jeremy B Sussman
Journal:  Med Care       Date:  2014-06       Impact factor: 2.983

8.  Maximizing the value of mobile health monitoring by avoiding redundant patient reports: prediction of depression-related symptoms and adherence problems in automated health assessment services.

Authors:  John D Piette; Jeremy B Sussman; Paul N Pfeiffer; Maria J Silveira; Satinder Singh; Mariel S Lavieri
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9.  Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools: Protocol for a Randomized Study Funded by the US Department of Veterans Affairs Health Services Research and Development Program.

Authors:  John D Piette; Sarah L Krein; Dana Striplin; Nicolle Marinec; Robert D Kerns; Karen B Farris; Satinder Singh; Lawrence An; Alicia A Heapy
Journal:  JMIR Res Protoc       Date:  2016-04-07
  9 in total

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