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Assessing Ghana's eHealth workforce: implications for planning and training.

Henry A Ogoe^1,2, James A Asamani³, Harry Hochheiser^4,5

¹Department of Biomedical Informatics, University of Pittsburgh, 5607 Baum Boulevard, Pittsburgh, PA, 15206, United States of America. hogoe@ug.edu.gh.

Human Resources for Health

|November 29, 2018

Summary

Low- and middle-income countries (LMICs) face eHealth workforce shortages. This study developed a framework to assess eHealth staffing needs, revealing significant understaffing in Ghana

Keywords:

Ghana LMICs Staffing needs WISN Workload eHealth workforce

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Area of Science:

Health Informatics
Health Services Research
Workforce Development

Background:

eHealth, the application of information and communication technology in healthcare, is crucial for addressing quality and accessibility issues.
Low- and middle-income countries (LMICs) could greatly benefit from eHealth, but a shortage of skilled personnel to develop and maintain these systems is a major obstacle.
There is limited understanding of the current and ideal eHealth workforce requirements in LMICs.

Purpose of the Study:

To develop a framework for characterizing and assessing the eHealth workforce in hospitals within LMICs.
To evaluate the sufficiency of the eHealth workforce in selected hospitals in Ghana using the developed framework.

Main Methods:

Development of a general framework to categorize the eHealth workforce in LMIC settings.
Combination of qualitative data from semi-structured interviews and quantitative data from the Workload Indicator of Staffing Needs (WISN) tool.
Assessment conducted in three hospitals in Ghana, surveying 76 eHealth staff members.

Main Results:

Two primary eHealth cadres were identified: technical support/information technology (IT) and health information management (HIM).
The IT cadre was predominantly trained in Science and Engineering, with most staff holding at least a bachelor's degree.
The WISN assessment indicated that all surveyed sites had insufficient eHealth workforces, with IT staff capacity at 10% in two hospitals and 42% short in another.

Conclusions:

A framework for characterizing and assessing the eHealth workforce in LMICs has been successfully developed.
The study provides a quantitative understanding of eHealth staffing needs in LMICs, crucial for human capital development.
Findings can guide educators in refining curricula and assist other LMICs in evaluating the impact of a skilled eHealth workforce on return on investment.