Last data update: Dec 09, 2024. (Total: 48320 publications since 2009)
Records 1-3 (of 3 Records) |
Query Trace: Aniekwe C[original query] |
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Key considerations for global public health data modernization: Lessons from modernizing the hepatitis C program data analytics system in the country of Georgia
Aniekwe C , Getia VK , Gvinjilia L , Manders EJ , Shadaker S , Schumacher IT , Mindadze M , Skhvitaridze N , Becknell S , Santas X . J Public Health Manag Pract 2024 30 (5) 643-646 |
From paper files to web-based application for data-driven monitoring of HIV programs: Nigeria's journey to a national data repository for decision-making and patient care
Dalhatu I , Aniekwe C , Bashorun A , Abdulkadir A , Dirlikov E , Ohakanu S , Adedokun O , Oladipo A , Jahun I , Murie L , Yoon S , Abdu-Aguye MG , Sylvanus A , Indyer S , Abbas I , Bello M , Nalda N , Alagi M , Odafe S , Adebajo S , Ogorry O , Akpu M , Okoye I , Kakanfo K , Onovo AA , Ashefor G , Nzelu C , Ikpeazu A , Aliyu G , Ellerbrock T , Boyd M , Stafford KA , Swaminathan M . Methods Inf Med 2023 62 130-139 BACKGROUND: Timely and reliable data are crucial for clinical, epidemiologic, and program management decision making. Electronic health information systems provide platforms for managing large longitudinal patient records. Nigeria implemented the National Data Repository (NDR) to create a central data warehouse of all people living with human immunodeficiency virus (PLHIV) while providing useful functionalities to aid decision making at different levels of program implementation. OBJECTIVE: We describe the Nigeria NDR and its development process, including its use for surveillance, research, and national HIV program monitoring toward achieving HIV epidemic control. METHODS: Stakeholder engagement meetings were held in 2013 to gather information on data elements and vocabulary standards for reporting patient-level information, technical infrastructure, human capacity requirements, and information flow. Findings from these meetings guided the development of the NDR. An implementation guide provided common terminologies and data reporting structures for data exchange between the NDR and the electronic medical record (EMR) systems. Data from the EMR were encoded in extensible markup language and sent to the NDR over secure hypertext transfer protocol after going through a series of validation processes. RESULTS: By June 30, 2021, the NDR had up-to-date records of 1,477,064 (94.4%) patients receiving HIV treatment across 1,985 health facilities, of which 1,266,512 (85.7%) patient records had fingerprint template data to support unique patient identification and record linkage to prevent registration of the same patient under different identities. Data from the NDR was used to support HIV program monitoring, case-based surveillance and production of products like the monthly lists of patients who have treatment interruptions and dashboards for monitoring HIV test and start. CONCLUSION: The NDR enabled the availability of reliable and timely data for surveillance, research, and HIV program monitoring to guide program improvements to accelerate progress toward epidemic control. |
Assessing the effect of electronic health information exchange on the completeness and validity of data for measuring viral load testing turnaround time in Nigeria
Aniekwe C , Cuffe K , Audu I , Nalda N , Ibezim B , Nnakwe M , Anazodo T , Dada M , Rottinghaus Romano E , Okoye M , Martin M , Shrivastava R . Int J Med Inform 2023 174 105059 INTRODUCTION: Implementation of health information exchange has been shown to result in several benefits which includes the improvement in the completeness and timeliness of data for public health program monitoring and surveillance. OBJECTIVE: The objective of this study was to assess the effect of implementing an electronic health information exchange (HIE) on the quality of data available to measure HIV viral load testing turnaround time (TAT) in Nigeria. METHODS: We measured viral load data validity and completeness before the implementation of electronic health information exchange, and 6 months after implementation. Records of specimens collected at 30 healthcare facilities and tested in 3 Polymerase Chain Reaction (PCR) labs were analyzed. We define data completeness as the percentage of non-missing values and measured this value by specimens and by data elements in the dataset for calculating TAT. To examine data validity, we classified TAT segments with negative values and date fields that were not in International Organization for Standardization(ISO) standard date format as invalid. Validity was measured by specimens and by each TAT segment. Pearson's chi square was used to assess for improvements in validity and completeness post implementation of HIE. RESULTS: 15,226 records of specimens were analyzed at baseline and 18,022 records of specimens analyzed at endline. Data completeness for all specimens recorded increased significantly from 47% before HIE implementation to 67% six months after implementation (p < 0.01). Data validity also increased from 90% before implementation to 91% after implementation (p < 0.01) CONCLUSION: Our study demonstrated evidence of significant improvement in the quality of data available to measure viral load turnaround time with the implementation of HIE. |
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