Literature DB >> 22791661

Impact of localizing general medical teams to a single nursing unit.

Siddhartha Singh1, Sergey Tarima, Vipulkumar Rana, David S Marks, Mary Conti, Kathleen Idstein, Lee A Biblo, Kathlyn E Fletcher.   

Abstract

BACKGROUND: Localization of general medical inpatient teams is an attractive way to improve inpatient care but has not been adequately studied.
OBJECTIVE: To evaluate the impact of localizing general medical teams to a single nursing unit.
DESIGN: Quasi-experimental study using historical and concurrent controls.
SETTING: A 490-bed academic medical center in the midwestern United States. PATIENTS: Adult, general medical patients, other than those with sickle cell disease, admitted to medical teams staffed by a hospitalist and a physician assistant (PA). INTERVENTION: Localization of patients assigned to 2 teams to a single nursing unit. MEASUREMENTS: Length of stay (LOS), 30-day risk of readmission, charges, pages to teams, encounters, relative value units (RVUs), and steps walked by PAs.
RESULTS: Localized teams had 0.89 (95% confidence interval [CI], 0.37-1.41) more patient encounters and generated 2.20 more RVUs per day (CI, 1.10-3.29) compared to historical controls; and 1.02 (CI, 0.46-1.58) more patient encounters and generated 1.36 more RVUs per day (CI, 0.17-2.55) compared to concurrent controls. Localized teams received 51% (CI, 48-54) fewer pages during the workday. LOS may have been approximately 10% higher for localized teams. Risk of readmission within 30 days and charges incurred were no different. PAs possibly walked fewer steps while localized.
CONCLUSION: Localization of medical teams led to higher productivity and better workflow, but did not significantly impact readmissions or charges. It may have had an unintended negative impact on hospital efficiency; this finding deserves further study.
Copyright © 2012 Society of Hospital Medicine.

Entities:  

Mesh:

Year:  2012        PMID: 22791661     DOI: 10.1002/jhm.1948

Source DB:  PubMed          Journal:  J Hosp Med        ISSN: 1553-5592            Impact factor:   2.960


  8 in total

1.  Identifying potential predictors of a safe attending physician workload: a survey of hospitalists.

Authors:  Henry J Michtalik; Peter J Pronovost; Jill A Marsteller; Joanne Spetz; Daniel J Brotman
Journal:  J Hosp Med       Date:  2013-10-07       Impact factor: 2.960

2.  Geographical assignment of hospitalists in an urban teaching hospital: feasibility and impact on efficiency and provider satisfaction.

Authors:  Christine Bryson; Greta Boynton; Anna Stepczynski; Jane Garb; Reva Kleppel; Farzan Irani; Siva Natanasabapathy; Mihaela S Stefan
Journal:  Hosp Pract (1995)       Date:  2017-07-28

3.  The Impact of Resident Geographic Rounding on Rapid Responses.

Authors:  Alexander Williams; Chad DeMott; Shari Whicker; Mariah Rudd; Ellen Rachel Lockhart; Pavan Isanaka; Christa Witt
Journal:  J Gen Intern Med       Date:  2019-07       Impact factor: 5.128

4.  Capsule commentary on Singh et al., A qualitative evaluation of geographical localization of hospitalists: how unintended consequences may impact quality.

Authors:  Shuhei Hattori
Journal:  J Gen Intern Med       Date:  2014-07       Impact factor: 5.128

5.  A qualitative evaluation of geographical localization of hospitalists: how unintended consequences may impact quality.

Authors:  Siddhartha Singh; Kathlyn E Fletcher
Journal:  J Gen Intern Med       Date:  2014-02-19       Impact factor: 5.128

6.  Geographically Localized Medicine House-Staff Teams and Patient Satisfaction.

Authors:  Zishan Siddiqui; Amanda Bertram; Stephen Berry; Timothy Niessen; Lisa Allen; Nowella Durkin; Leonard Feldman; Carrie Herzke; Rehan Qayyum; Peter Pronovost; Daniel J Brotman
Journal:  J Patient Exp       Date:  2018-04-30

7.  Redesigning systems to improve teamwork and quality for hospitalized patients (RESET): study protocol evaluating the effect of mentored implementation to redesign clinical microsystems.

Authors:  Kevin J O'Leary; Julie K Johnson; Milisa Manojlovich; Jenna D Goldstein; Jungwha Lee; Mark V Williams
Journal:  BMC Health Serv Res       Date:  2019-05-08       Impact factor: 2.655

8.  Closer to or Farther away from an Ideal Model of Care? Lessons Learned from Geographic Cohorting.

Authors:  Areeba Kara; Deanne Kashiwagi; Marisha Burden
Journal:  J Gen Intern Med       Date:  2022-04-12       Impact factor: 6.473

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.