PURPOSE: In 2009, the Ministry of Health and Social Services in Namibia decided to conduct a confirmatory assessment of the risk of anemia associated with zidovudine (AZT)-based highly active antiretroviral therapy (HAART) using records contained in three electronic databases. These records did not share a unique identifying number. The first step was to apply probabilistic record linkage methods to link records in the three databases. METHODS: Records of persons, aged 19-65 years, newly initiated on HAART between January 2007 and June 2008, were selected from a pharmacy electronic dispensing tool (EDT) and linked to an electronic medical records database (ePMS) and a laboratory database (MEDITECH). Using the paper-based clinical record as the gold standard, we measured the sensitivity of the starting HAART regimen, that is, proportion of AZT users in the clinical record correctly identified in electronic record, and specificity of severe anemia, that is, proportion of non-cases of severe anemia in the clinical records correctly identified in the electronic record. Kappa and intraclass correlation coefficients were used to determine reliability. RESULTS: A total of 12 358 records were selected from EDT. Seventy-six percent and 58% of EDT records were linked to ePMS and MEDITECH, respectively. The sensitivity of the starting HAART regimen was 98%, whereas specificity of severe anemia was 100%. The reliability scores for variables including weight, hemoglobin, and CD4 counts were moderate to perfect and ranged from 0.59 to 0.99. CONCLUSION: Probabilistic record linkage methods were effective for records linkage in this sub-Saharan African setting.
PURPOSE: In 2009, the Ministry of Health and Social Services in Namibia decided to conduct a confirmatory assessment of the risk of anemia associated with zidovudine (AZT)-based highly active antiretroviral therapy (HAART) using records contained in three electronic databases. These records did not share a unique identifying number. The first step was to apply probabilistic record linkage methods to link records in the three databases. METHODS: Records of persons, aged 19-65 years, newly initiated on HAART between January 2007 and June 2008, were selected from a pharmacy electronic dispensing tool (EDT) and linked to an electronic medical records database (ePMS) and a laboratory database (MEDITECH). Using the paper-based clinical record as the gold standard, we measured the sensitivity of the starting HAART regimen, that is, proportion of AZT users in the clinical record correctly identified in electronic record, and specificity of severe anemia, that is, proportion of non-cases of severe anemia in the clinical records correctly identified in the electronic record. Kappa and intraclass correlation coefficients were used to determine reliability. RESULTS: A total of 12 358 records were selected from EDT. Seventy-six percent and 58% of EDT records were linked to ePMS and MEDITECH, respectively. The sensitivity of the starting HAART regimen was 98%, whereas specificity of severe anemia was 100%. The reliability scores for variables including weight, hemoglobin, and CD4 counts were moderate to perfect and ranged from 0.59 to 0.99. CONCLUSION: Probabilistic record linkage methods were effective for records linkage in this sub-Saharan African setting.
Authors: Stephanie Dellicour; Philippe Brasseur; Per Thorn; Oumar Gaye; Piero Olliaro; Malik Badiane; Andy Stergachis; Feiko O ter Kuile Journal: Drug Saf Date: 2013-07 Impact factor: 5.606
Authors: Christopher T Rentsch; Katie Harron; Mark Urassa; Jim Todd; Georges Reniers; Basia Zaba Journal: BMC Med Res Methodol Date: 2018-12-10 Impact factor: 4.615
Authors: Christopher T Rentsch; Georges Reniers; Chodziwadziwa Kabudula; Richard Machemba; Baltazar Mtenga; Katie Harron; Paul Mee; Denna Michael; Redempta Natalis; Mark Urassa; Jim Todd; Basia Zaba Journal: Int J Popul Data Sci Date: 2017-12-15