SAT-131 EVALUATION OF RENAL DATA QUALITY: A PREPARATORY STEP FOR A RENAL REGISTRY IN AN ISN/SRC CENTER, IN PORT HARCOURT, NIGERIA

Abstract

The impact of renal registries that promote service planning, disease management, quality improvement, and research is dependent on the quality of baseline data. Inadequate baseline data collection tools and the low utilization of electronic Health Information Management Systems (eHIMs) are key challenges to the development of renal registries in Africa as stated by the African Regional Association of Nephrology (AFRAN). This state of affairs prompted the baseline assessment of renal data quality and the development of a structured data collection tool as a prerequisite for the commencement of a community-level primary care renal service and the establishment of the local renal registry at an ISN/SRC center, at the University Port Harcourt Teaching Hospital, Nigeria, Patients' data were extracted from physical records for the period 2015 to 2018 and entered on renal registry template based on a modified WHO Steps instrument proposed by the South Africa Medical Research Council. CKD Africa Collaboration. The tool had 10 domains of Demographic and general information (DGI), Behavioural measurements (BM), Cardiovascular risk, CKD Risk and Past medical history (CVCKRisk), Physical measurements (Anthropometric and metabolic) (PM), Measures of kidney function (MKF), Measures of chronic kidney disease impact (CKDI), Renal Imaging (RI), CKD Course and outcome (CKDCO), Renal Histology (RH) and Renal Replacement Therapy (RRT) with a total of 67 items. Three domains and 20 items were excluded in the analysis which focused on the data quality dimension of completeness. There were 1099 patient entries, with an overall data completeness range of 14.16 – 99.42%. The range and mean of data completeness in percentages (%) for 7 domains were DGI: 76.50 – 99.42, 87.92±13.18, BM: 95.18 - 96.79, 96.01±0.81, CVCKRisk: 16.93 - 93.43, 81.26±24.78, PM: 35.62 -94.74, 76.94±24.02, MKF: 31.97 - 77.52, 54.33 ±23.66, CKDI: 14.16 - 77.52, 48.06 ±24.93, RI: 33.58 - 38.98, 36.5840 ±2.66 respectively. There were significant differences in the mean completeness within and across the domains. The BM Domains had the highest mean completion rate of 96.01±0.81%, while the highest item completion rate of 99.42% and 99.27% was attained in demographic information items such as gender and age respectively. The lowest rates of 31.97%, 14.16% and 33.58% respectively were recorded in MKF, CKDI and RI items such as urine albumin, mineral bone disease parameters, and renal imaging measurements. There are significant gaps in data completeness with the current data tools used in the facility. The poor data quality limits the integrative capacity of the renal data from this center to other sub-regional and national registries. The lack of a structured data tool also limits the implementation of standardized community based renal care service. In response to this assessment, a structured data collection and patient assessment tool were developed to improve data quality and make the establishment of a local registry achievable. It is advocated that the assessment of facility data quality and the development of structured data tools are important perquisites in promoting standardized community based renal care, renal data quality, and successful registry development in technologically challenged environments.