Literature DB >> 16439930

Development and validation of a screen for specialized discharge planning services.

Diane E Holland1, Marcelline R Harris, Cynthia L Leibson, V Shane Pankratz, Kathleen E Krichbaum.   

Abstract

BACKGROUND: There is no rigorously developed and empirically validated screening tool to identify, early in the hospital stay, those adults who will use specialized hospital discharge planning services.
OBJECTIVES: To develop and validate a screen using hospital admission clinical data that discriminates between adults who use and do not use specialized discharge planning services.
METHODS: Subjects consisted of prospectively sampled adult patients admitted to two hospitals located in a Midwestern United States city in 1998 (tool development sample, n = 991) and 2002 (validation sample, n = 303). Variables suggestive of being predictive of use of specialized hospital discharge planning services were identified from the literature and were obtained from direct participant interviews, record review, and administrative databases. The outcome was a documented referral for involvement of specialized discharge planning personnel with the patient's plan of care and was identified from review of hospital records.
RESULTS: Of 24 variables examined, only age, disability, living alone, and self-rated walking limitation were jointly predictive of use of specialized discharge planning services in the development sample. Standardized coefficients from the joint model were used to estimate a screening score. A cut-point was derived and had a sensitivity of 75% and specificity of 78% in the development sample. The screen performed equally well in the validation sample and the development sample.
CONCLUSION: A screening tool consisting of a limited number of characteristics readily available early in the hospital stay that were shown to be highly predictive of the use of specialized discharge planning services was developed. The application of such a tool will hopefully assist providers to deploy services appropriately and in a timely fashion.

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Year:  2006        PMID: 16439930     DOI: 10.1097/00006199-200601000-00008

Source DB:  PubMed          Journal:  Nurs Res        ISSN: 0029-6562            Impact factor:   2.381


  16 in total

1.  Validating Performance of a Hospital Discharge Planning Decision Tool in Community Hospitals.

Authors:  Diane E Holland; Cheryl Brandt; Paul V Targonski; Kathryn H Bowles
Journal:  Prof Case Manag       Date:  2017 Sep/Oct

2.  Illuminating hospital discharge planning: staff nurse decision making.

Authors:  Lori M Rhudy; Diane E Holland; Kathryn H Bowles
Journal:  Appl Nurs Res       Date:  2009-03-26       Impact factor: 2.257

3.  Implementation and testing of interdisciplinary decision support tools to standardize discharge planning.

Authors:  Kathryn H Bowles; Diane E Holland; Sheryl L Potashnik
Journal:  NI 2012 (2012)       Date:  2012-06-23

4.  Nurse Generated EHR Data Supports Post-Acute Care Referral Decision Making: Development and Validation of a Two-step Algorithm.

Authors:  Kathryn H Bowles; Sarah J Ratcliffe; Mary D Naylor; John H Holmes; Susan K Keim; Emilia J Flores
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

5.  Comparison of algorithm advice for post-acute care referral to usual clinical decision-making: examination of 30-day acute healthcare utilization.

Authors:  Susan K Keim; Kathryn H Bowles
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

6.  Validating Performance of a Hospital Discharge Planning Decision Tool in Community Hospitals.

Authors: 
Journal:  Prof Case Manag       Date:  2017 Sep/Oct

7.  Association Between Hospital Admission Risk Profile Score and Skilled Nursing or Acute Rehabilitation Facility Discharges in Hospitalized Older Adults.

Authors:  Stephen K Liu; Justin Montgomery; Yu Yan; John N Mecchella; Stephen J Bartels; Rebecca Masutani; John A Batsis
Journal:  J Am Geriatr Soc       Date:  2016-09-07       Impact factor: 5.562

8.  Targeting hospitalised patients for early discharge planning intervention.

Authors:  Diane E Holland; George J Knafl; Kathryn H Bowles
Journal:  J Clin Nurs       Date:  2012-08-21       Impact factor: 3.036

9.  Factors identified by experts to support decision making for post acute referral.

Authors:  Kathryn H Bowles; John H Holmes; Sarah J Ratcliffe; Matthew Liberatore; Robert Nydick; Mary D Naylor
Journal:  Nurs Res       Date:  2009 Mar-Apr       Impact factor: 2.381

10.  Utility of Mayo Clinic's early screen for discharge planning tool for predicting patient length of stay, discharge destination, and readmission risk in an inpatient oncology cohort.

Authors:  Caitlyn P Socwell; Lucy Bucci; Sharni Patchell; Erika Kotowicz; Lara Edbrooke; Rodney Pope
Journal:  Support Care Cancer       Date:  2018-05-18       Impact factor: 3.603

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