Literature DB >> 1537582

Social work services in the emergency department: a cost-benefit analysis of an extended coverage program.

J M Ponto1, W Berg.   

Abstract

Although issues relating to cost and cost containment have assumed an increasingly important role in the delivery of health care services, relatively few attempts have been made to assess the costs and benefits of social work services in a hospital setting. This article examines a program that provides social work services in a general hospital's emergency department on a 24-hour, seven-day-a-week basis. The cost of these services is assessed through the output value index, a form of cost-benefit analysis in which the estimated value of the program's output is contrasted with the estimated investment of resources to maintain the program. The results suggest that the program was operated at a marginal cost to the hospital and that cost may have been outweighed by tangible and intangible program benefits.

Mesh:

Year:  1992        PMID: 1537582     DOI: 10.1093/hsw/17.1.66

Source DB:  PubMed          Journal:  Health Soc Work        ISSN: 0360-7283


  4 in total

Review 1.  Social care's impact on emergency medicine: a model to test.

Authors:  P Bywaters; E McLeod
Journal:  Emerg Med J       Date:  2003-03       Impact factor: 2.740

2.  Study protocol for two randomized controlled trials examining the effectiveness and safety of current weekend allied health services and a new stakeholder-driven model for acute medical/surgical patients versus no weekend allied health services.

Authors:  Terry P Haines; Lisa O'Brien; Deb Mitchell; Kelly-Ann Bowles; Romi Haas; Donna Markham; Samantha Plumb; Timothy Chiu; Kerry May; Kathleen Philip; David Lescai; Fiona McDermott; Mitchell Sarkies; Marcelle Ghaly; Leonie Shaw; Genevieve Juj; Elizabeth H Skinner
Journal:  Trials       Date:  2015-04-02       Impact factor: 2.279

3.  Impact of disinvestment from weekend allied health services across acute medical and surgical wards: 2 stepped-wedge cluster randomised controlled trials.

Authors:  Terry P Haines; Kelly-Ann Bowles; Deb Mitchell; Lisa O'Brien; Donna Markham; Samantha Plumb; Kerry May; Kathleen Philip; Romi Haas; Mitchell N Sarkies; Marcelle Ghaly; Melina Shackell; Timothy Chiu; Steven McPhail; Fiona McDermott; Elizabeth H Skinner
Journal:  PLoS Med       Date:  2017-10-31       Impact factor: 11.069

4.  Predicting 72-hour and 9-day return to the emergency department using machine learning.

Authors:  Woo Suk Hong; Adrian Daniel Haimovich; Richard Andrew Taylor
Journal:  JAMIA Open       Date:  2019-07-01
  4 in total

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