Literature DB >> 30156928

Networks of hospital discharge planning teams and readmissions.

Beth Prusaczyk1,2, Sunil Kripalani1,2, Amar Dhand3,4.   

Abstract

Improving the hospital discharge process to prevent readmission requires a focus on the coordination and communication between interprofessional team members in and outside of the hospital as well as with patients and their caregivers. Yet little is known about how these actors currently communicate and coordinate during the discharge process. Network analysis allows for a direct look at this communication and coordination. This network analysis study utilized retrospective chart review to identify the individuals involved in the discharge planning and their communication with each other for 205 patients. Using this abstracted data, a network was created for each patient wherein a node was any individual involved in the patient's discharge planning process and a tie was any communication documented in the chart related to discharge planning between individuals. Graphical and structural network analyses were used to compare the networks of readmitted patients and non-readmitted patients. Networks of patients not readmitted were more hierarchical, unidirectional, streamlined compared to those readmitted. These findings demonstrate the feasibility and usefulness of conceptualizing discharge planning as a network. Future efforts to understand discharge planning and create interventions to improve the process may benefit by considering network patterns of communication.

Entities:  

Keywords:  Communication; discharge planning; healthcare teams; network analysis; readmissions

Year:  2018        PMID: 30156928     DOI: 10.1080/13561820.2018.1515193

Source DB:  PubMed          Journal:  J Interprof Care        ISSN: 1356-1820            Impact factor:   2.338


  5 in total

Review 1.  A Network Approach to Stroke Systems of Care.

Authors:  Kori S Zachrison; Amar Dhand; Lee H Schwamm; Jukka-Pekka Onnela
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2019-08-13

Review 2.  Human Factors Considerations in Transitions in Care Clinical Decision Support System Implementation Studies.

Authors:  Erin E Kennedy; Kathryn H Bowles
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

3.  Systematic review of prediction models for postacute care destination decision-making.

Authors:  Erin E Kennedy; Kathryn H Bowles; Subhash Aryal
Journal:  J Am Med Inform Assoc       Date:  2021-12-28       Impact factor: 4.497

4.  Who is Responsible for Discharge Education of Patients? A Multi-Institutional Survey of Internal Medicine Residents.

Authors:  Shreya P Trivedi; Zoe Kopp; Paul N Williams; Derek Hupp; Nick Gowen; Leora I Horwitz; Mark D Schwartz
Journal:  J Gen Intern Med       Date:  2021-02-02       Impact factor: 6.473

5.  Ready to Go Home? Assessment of Shared Mental Models of the Patient and Discharging Team Regarding Readiness for Hospital Discharge.

Authors:  Kirstin A Manges; Andrea S Wallace; Patricia S Groves; Marilyn M Schapira; Robert E Burke
Journal:  J Hosp Med       Date:  2021-06       Impact factor: 2.899

  5 in total

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