Patterns of availability and accuracy of risk factor data for cardiovascular diseases among people initiated on antiretroviral therapy at selected health facilities in Khomas region, Namibia: a retrospective, cross-sectional, quantitative study.

Abstract

quality data is a prerequisite for timely decision-making and measuring health outcomes in public health settings. Comorbidities such as cardiovascular diseases (CVDs) among people living with HIV (PLHIV), require a robust system that ensures credible data at all data-producing levels. The study at determining the level of availability and completeness of CVDs risk factors data of PLHIV. a quantitative study was conducted to extract CVDs risk factors data retrospectively from 529 patient care booklets (PCBs) between 2004 and 2017. The analysis was done with the Statistical Package for Social Sciences (SPSS) version 25. Pearson Chi-Square was used to test for associations. The level of significance was at p ≤ 0.05. the study revealed that 72.8% of patients are at risk of CVDs due to incomplete demographics (73.72%) and other systemic data (41.18%). A significant association was found (Pearson Chi-Square test 19.907; p-value of 0.001) between average visits per year, accurate data recording, and active status of the patient. Lost to follow-up (15%) and true retention (27.2%) was significantly associated with the last Antiretroviral Therapy (ART) status of a patient (Pearson Chi-Square test 87.754; p-value of 0.001). the study that despite concerted efforts to improve data quality, the availability and completeness of data remain unsatisfactory. Lack of harmonised data screening and analysis efforts for CVDs risk factors is found to be a significant risk factor in ensuring integrated routine measuring of CVDs health outcomes for PLHIV.