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Updated: Jun 20, 2026

Neuroimaging Field Methods Using Functional Near Infrared Spectroscopy (NIRS) Neuroimaging to Study Global Child Development: Rural Sub-Saharan Africa

Neuroimaging Field Methods Using Functional Near Infrared Spectroscopy (NIRS) Neuroimaging to Study Global Child Development: Rural Sub-Saharan Africa

Published on: February 2, 2018

Development of an Illustrative Conceptual Model to Promote Rural Research Capacity Building Efforts by Embedded

Carol J Reid^1,2, Kristen Glenister¹, William Wallace^1,3

¹Rural Health Academic Network, University Department of Rural Health, University of Melbourne, Victoria, Australia.

The Australian Journal of Rural Health

|June 19, 2026

Summary

A conceptual model was developed to illustrate the Rural Health Academic Network's capacity-building efforts in rural healthcare. This model aids in describing the Network's diverse work and impact across multiple sites.

Keywords:

illustrative conceptual model research capacity building rural health rural health services

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Neuroimaging Field Methods Using Functional Near Infrared Spectroscopy (NIRS) Neuroimaging to Study Global Child Development: Rural Sub-Saharan Africa

Neuroimaging Field Methods Using Functional Near Infrared Spectroscopy (NIRS) Neuroimaging to Study Global Child Development: Rural Sub-Saharan Africa

Published on: February 2, 2018

Area of Science:

Rural Health Research
Capacity Building
Health Services Research

Background:

The Rural Health Academic Network (RHAN) partners with rural health services to build research capacity.
Describing RHAN's work and achievements presents challenges.
A conceptual model was developed to promote RHAN within rural healthcare.

Purpose of the Study:

To present the development of an illustrative conceptual model for the Rural Health Academic Network.
To aid in describing the Network's work and achievements in building research capacity.
To promote the Network within the rural healthcare context.

Main Methods:

Model development informed by a Theory of Change checklist.
Collaborative, interdisciplinary group discussions initiated model design (2021).
Involved research coordinators embedded in rural health services and university supervisors.

Main Results:

The model outlines the Network's strategies, outputs, and expected outcomes (short, medium, long-term).
It details desired impacts, emphasizing diverse contexts, partnerships, and collaboration.
Examples from four sites illustrate the dynamic nature of rural research capacity building.

Conclusions:

Sharing the model development highlights benefits of a common understanding for building research capacity.
Acknowledges challenges in reporting impact for a rural research collective with unique sites.
The model provides a framework for understanding and promoting rural research initiatives.