Conducting a surveillance data quality audit in Grand Bassa County, Liberia, November 2015

Conducting a surveillance data quality audit in Grand Bassa County, Liberia, November 2015

Joseph Asamoah Frimpong^1,&, Maame Pokuah Amo-Addae¹, Peter Adebayo Adewuyi¹, Casey Daniel Hall², Meeyoung Mattie Park², Thomas Knue Nagbe³

 

¹Liberia Field Epidemiology Training Program, Monrovia, Liberia, ²Rollins School of Public Health, Emory University, Atlanta, USA, ³Ministry of Health, Monrovia, Liberia

 

 

^&Corresponding author
Joseph Asamoah Frimpong, Liberia Field Epidemiology Training Program, Monrovia, Liberia

 

 

 

 

General instructions: a class of up to 20 trainees is ideal for a training sessions using this case study. The instructor facilitating the session should direct a participant to read a paragraph out loud, going around the room to give each participant a chance to read. Based on the type of question, the instructor may decide to divide the class into small groups for exercises, randomly identify a trainee to respond to the question, or engage the class in a group discussion of the answer. The aim of the interaction is to allow participants to learn from each other and not just from the instructor. Specific instructor’s notes are included with each question in the instructor’s version of this case study.

 

Audience: residents in Frontline Field Epidemiology Training Programs (FETP-Frontline), Field Epidemiology and Laboratory Training Programs (FELTPs), and others who are interested in this topic.

 

Prerequisites: for this case study, trainees should have received lectures on data quality, data quality auditing, and SWOT analysis.

 

Materials needed: flipchart or white board with markers

 

Level of training and associated public health activity: Novice – Data Quality Auditing

 

Time required: approximately 2-3 hours

 

Language: English

 

 

• Download the case study student guide (PDF - 1.50 MB)
• Request the case study facilitator guide

 

 

The authors declare no competing interest.

 

 

We wish to thank African Field Epidemiology Network and Emory University for supporting African-based case study development. We acknowledge residents of the Liberia Field Epidemiology Training Program and Ministry of Health, Liberia for allowing us to use their data for this case study.

 

 

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3. Liberia Field Epidemiology Training Program. Data Quality Audit in District 3C of Grand Bassa County. 2016. Google Scholar


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5. Ministry of Health (Republic of Zambia). Data Quality Audit (DQA) Guidelines. 2014; 1-5
6. USAID. Data Quality Audit Report: Guidelines for Implementation. 2008: 1-10.
7. WHO. Manual on use of routine data quality assessment (RDQA) tool for TB monitoring. Geneva, WHO Press. 2011.


8. Harrison JP. Strategic Planning and SWOT Analysis. In Essentials of Strategic Planning in Healthcare, 2010. Washington, DC. Health Administration Press. 2010; 91-97. Google Scholar