Literature DB >> 21505619

Sustaining primary care practice: a model to calculate disease burden and adjust panel size.

Belinda Potts, Ronald Adams, Mark Spadin.   

Abstract

INTRODUCTION: In late 2008, the Ohio Permanente Medical Group (OPMG) faced severe staffing shortages in its primary care physician group. In addition, the local market for recruitment did not look promising. As a result, many OPMG primary care physicians had very large patient panels, resulting in physician burnout and the Region faced member dissatisfaction in getting appointments. One solution explored was to hire nurse practitioners (NPs) to fill the staffing gap. To do this, Kaiser Permanente Ohio needed to understand what its model of care would look like with NPs. How would the group use the NPs to support its primary care physicians, and which physicians needed the additional support?
METHODS: In addition to looking at panel size, the group also wanted to know which physicians needed additional support with disease management. Their demand model estimated the number of each physician's office visits; however, it was important to consider the disease component (disease burden) of a physician's patient panel. With the recent implementation of the Permanente Online Interactive Network Tool (POINT), the group planned to use data from the tool to determine the disease burden of each physician's panel. By identifying six chronic diseases from the POINT data and attaching a value, they determined both the disease burden of a physician's panel and the necessary level of support needed from the NPs. This created a new delivery structure that partnered one or two physicians on a team with an NP.
RESULTS: This process resulted in a recommendation to hire 4.5 to 5.5 total NP full-time equivalents to fill the gap identified in capacity and correctly identified the physicians who needed NP support. In 2010, OPMG had 10 NPs, compared with 4 in 2008. The majority of these NPs are working in small teams and successfully supporting physicians with large panels and/or high disease burdens.
CONCLUSION: On the Patient Satisfaction Survey, patients' satisfaction with the time elapsed between scheduling an appointment and date of the visit went from 68% at the end of 2008 to 77% in the first quarter of 2010; the average days elapsed went from 33 in December 2008 to 23 in May 2010. Additionally, staffing shortages of 2008 have all been resolved, and the Region's clinician-retention rate has improved. Physician feedback has been very positive.

Entities:  

Year:  2011        PMID: 21505619      PMCID: PMC3048635          DOI: 10.7812/TPP/10-077

Source DB:  PubMed          Journal:  Perm J        ISSN: 1552-5767


  5 in total

1.  Primary Care Physician Panel Size and Quality of Care: A Population-Based Study in Ontario, Canada.

Authors:  Simone Dahrouge; William Hogg; Jaime Younger; Elizabeth Muggah; Grant Russell; Richard H Glazier
Journal:  Ann Fam Med       Date:  2016 Jan-Feb       Impact factor: 5.166

2.  An analytics approach to designing patient centered medical homes.

Authors:  Saeede Ajorlou; Issac Shams; Kai Yang
Journal:  Health Care Manag Sci       Date:  2014-06-19

3.  Weighting Primary Care Patient Panel Size: A Novel Electronic Health Record-Derived Measure Using Machine Learning.

Authors:  Alvin Rajkomar; Joanne Wing Lan Yim; Kevin Grumbach; Ami Parekh
Journal:  JMIR Med Inform       Date:  2016-10-14

4.  Analysis of Variation in Organizational Definitions of Primary Care Panels: A Systematic Review.

Authors:  Michael F Mayo-Smith; Rebecca A Robbins; Mark Murray; Rachel Weber; Pamela J Bagley; Elaina J Vitale; Neil M Paige
Journal:  JAMA Netw Open       Date:  2022-04-01

5.  Nurse Practitioner Involvement in Medicare Accountable Care Organizations: Association With Quality of Care.

Authors:  Nicole Huang; Mukaila Raji; Yu-Li Lin; Lin-Na Chou; Yong-Fang Kuo
Journal:  Am J Med Qual       Date:  2021 May-Jun 01       Impact factor: 1.200

  5 in total

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