Literature DB >> 11559417

Interagency relationships among rural early intervention collaboratives.

B J Polivka1, S H Dresbach, J E Heimlich, M Elliott.   

Abstract

Interagency collaboration is used to coordinate services and programs, pool resources, or achieve goals. This study utilizes the Interagency Collaboration Model to assess interagency relationships of Early Intervention (EI) collaboratives in three rural Ohio counties. The model includes five constructs: environmental factors (broader community environment), situational factors (organizational factors), task characteristics (project's scope and complexity), interagency processes (between agency processes), and outcomes (end products). Respondents from 42 agencies completed the 18-item Interagency Collaboration Assessment Tool (ICAT) and demographic questions. The ICAT uses a 5-point Likert-type scale to assess the five domains of the model. Respondents included public health nurses, representatives from schools, social service agencies, and hospitals. State policies were perceived as encouraging local interagency collaboration; respondents knew staff and goals of other agencies, but agencies did not share funding sources or provide similar services. Diverse specialists were needed to accomplish goals. Some information was exchanged between agencies. Interagency activities were not perceived to be well coordinated and outcomes were only moderately positive. Path analysis revealed that interagency processes were directly affected by environmental and situational factors, but not task characteristics (R2 = 0.42). Situational factors, and interagency processes predicted outcomes (R2 = 0.60). Awareness of personnel, goals and services of other agencies were key to positive interagency process and perceived outcomes.

Mesh:

Year:  2001        PMID: 11559417     DOI: 10.1046/j.1525-1446.2001.00340.x

Source DB:  PubMed          Journal:  Public Health Nurs        ISSN: 0737-1209            Impact factor:   1.462


  3 in total

1.  Promoting community coalition functioning: effects of Project STEP.

Authors:  Nathaniel R Riggs; Morgan Nakawatase; Mary Ann Pentz
Journal:  Prev Sci       Date:  2008-05-16

2.  Development and validation of a short version of the Partnership Self-Assessment Tool (PSAT) among professionals in Dutch disease-management partnerships.

Authors:  Jane M Cramm; Mathilde Mh Strating; Anna P Nieboer
Journal:  BMC Res Notes       Date:  2011-06-30

3.  Interprofessional partnerships in chronic illness care: a conceptual model for measuring partnership effectiveness.

Authors:  Gail Butt; Maureen Markle-Reid; Gina Browne
Journal:  Int J Integr Care       Date:  2008-05-15       Impact factor: 5.120

  3 in total

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