1 / 24

Outline

Results of an Assessment of the Quality of HIV Data in Sixteen Service Sites in the Upper East Region.

byington
Télécharger la présentation

Outline

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Results of an Assessment of the Quality of HIV Data in Sixteen Service Sites in the Upper East Region Dr. GiftyApiungAninanya, Mr. KyeremehAtuahene, Mr. Cosmos Ohene-Adjei, Mr. Isaiah Doe Kwao, Mr. Emmanuel TetteyLarbi, Mr. TwumasiOpoku Samuel, Mr. Samuel Efa-Quayson, Mr. MajeedSulemana, Dr. MokowaBlayAdu-Gyamfi

  2. Outline • Introduction • Objectives • Methodology • Results • Discussion • Recommendations • Acknowledgement • Photo Gallery

  3. INTRODUCTION I • Achieving health targets, such as the 90:90:90 targets and the post-2015 era of the SDGs will require accurate and reliable data (UNAIDS, 2014). • Quality data are the prerequisite for better information, better decision-making and better population health(WHO 2008). • Inspite of the usefulness of data, health facilities are confronted with data quality challenges (Doherty et al 2009 & Boerma 2005) • Due to poor recording, errors in processing data and lack of use of already generated data which may hinder constructive feedback to data producers (English et al 2011 & Nicol 2013).

  4. INTRODUCTION II • Poor quality data leads to a lack of reliable data to monitor HIV programmes • Coding errors were identified due to poor quality documentations in the clinical information systems (Cheng et al 2009) • Errors led to inaccurate performance measurement & inappropriate allocation of health funding (Cheng et al 2009) • Sound and reliable RDQA is thus vital to obtain high data quality (WHO 2010, Chan et al 2010) • Assessed the quality of HIV reported data in 16 service sites

  5. OBJECTIVES • To assess the quality of reported data for five HIV indicators • Adults and children newly initiated on ART • HIV-positive pregnant women who received ARVs • Condoms distributed • Individuals who received HTS • Babies born to HIV mothers and received test for HIV at six weeks • To develop recommendations to implement corrective measures for improving quality of HIV data

  6. METHODOLOGY I • Retrospective Study • Site Selection • Indicators verified • Adults and children newly initiated on ART • HIV-positive pregnant women who received ARVs • Condoms distributed • Individuals who received HTS • Babies born to HIV mothers and received test for HIV at six weeks

  7. METHODOLOGY II Clinical Sites Non-Clinical Sites Anglican Diocesan Development and Relief Organization PPAG West Africa Program to Combat AIDS and STIs ActionAid Ghana Community AID Through Sustainable Establishment Community Dev’t and Advocacy Centre Community Integrated Dev’t Initiative Rural Initiative for Self-Empowerment • Paga Hospital • GaruTempane • Talensi Hospital • Sirigu Health Centre • Mirigu Health Centre • Tempane Health Centre • Chiana Health Centre • Rabito Clinic

  8. METHODOLOGY III • Routine Data Quality Assessment tool • Assessed strengths and weaknesses in data collection and reporting • Verification enabled comparison of recounted and reported quantitative data

  9. METHODOLOGY IV Data Analysis • RDQA had a dashboard with various proportions, graphs and tables • Interpretation was done by a verification factor (VF) • VF is a measure of the accuracy of data collected • Numbers reported from a facility were re-aggregated from available source documents and compared to what was reported1 • VF = Recounted numbers/reported numbers

  10. METHODOLOGY VI • VF over 100% indicates an under reporting as more information was found at the site than was reported • VF below 100% indicates an over-reporting as less data was found at the time of the audit than was reported • A VF of 100% represents accurate reporting

  11. RESULTS OF DATA VERIFICATION

  12. DISCUSSION • Results portrayed an average performance • Inadequate data verification exercises • Poor data archival system resulted in data inconsistencies • CSOs showed outstanding performance • Data accuracy reported elsewhere (Uganda MOH, 2015)

  13. RECOMMENDATIONS • Ghana Health Service should ensure that sub-districts establish data validation staff purposely for monthly data validation • Ghana Health Service should procure and distribute flat files to all facilities to improve archival practice • Data documentation in primary sources should be monitored and supervised by both facility staff and unit heads on monthly basis • Data management processes should be given the needed attention and support by the entire leadership of Ghana Health Service

  14. AKNOWLEDGEMENT • Ghana Health Service • National AIDS Control Program • Regional Coordinating Council • Civil Society Organizations • All implementing partners

  15. THANK YOUYOUR COMMENTS ARE WELCOMED!

More Related