Perceptions and Challenges of EHR Clinical Data Quality

Despite the premise of better data, Electronic Health Record (EHR) data quality remains problematic. Traditional approaches for improving data quality through semantic and syntactic controls have not resolved the problems. To use the medical vernacular – “we have addressed the symptoms but not the cause.” This paper reports on an exploratory study undertaken in a large maternity hospital with an aim to expose detractors from high-quality data in EHRs. The study involved a perceptions survey that was completed by Nursing and Midwifery staff; chosen because of known data quality challenges in their area of practice. The study results indicate social, cultural and environmental aspects of information systems (IS) use are equally as problematic as the IS itself. A lack of agreement amongst healthcare practitioners surrounding what data quality means is also evident, with time, culture and lacking formal education on data quality being contributors to lower data quality outcome

Quality assurance for hepatitis C virus point-of-care diagnostics in sub-Saharan Africa

As part of a multinational study to evaluate the Bioline Hepatitis C virus (HCV) point-of- care (POC) testing in sub-Saharan Africa (SSA), this narrative review summarises regulatory standards and quality indicators for validating and approving HCV clinical diagnostics. In addition, this review also provides a summary of their diagnostic evaluations using the REASSURED criteria as the benchmark and its implications on the WHO HCV elimination goals 2030.https://www.mdpi.com/journal/diagnosticsam2024School of Health Systems and Public Health (SHSPH)SDG-03:Good heatlh and well-bein

Developing an Economic Value Model for Delinquent Tax Auctions in South Carolina

Government-administered public auctions of private property to recoup unpaid taxes represent a common tool to collect funds while representing an investment vehicle for tax sale attendees. The problem was that factors such as starting bids, high bids, redemption timing, taxes due from prior years, possible interest earned, assessed land value, property structures, and possible economic gain were not widely understood by tax sale participants. The purpose of this correlational study was to examine the existence of relationships between or among the aforementioned attributes and the interest earned by a bidder or the odds of acquiring a tax deed. Quantitative theory, affords a precise and unbiased evaluation of decision-making with multiple inputs and variables, provided the foundation for secondary source data analysis via the 2017 Florence County, South Carolina, delinquent tax sale. A multiple linear regression analysis of 586 properties showed a statistically significant association between interest earned from the starting bid, highest bid, and days elapsed until the property was redeemed (F = 625, p \u3c .001). A multiple binary logistic regression analysis of 676 properties showed if taxes were due in prior years, a positive relationship of more than six-fold (p \u3c .05, Exp (B) = 6.064, 95% CI [1.637, 22.469]) existed with receiving a tax deed. The results indicate that if a structure was present, the estimated odds ratio showed a decrease of receiving a tax deed of nearly 58% (p \u3c .05, Exp (B) = .426, 95% CI [0.197, 0.919]). The social change implications were that investors may utilize these results to enhance their strategies when attending delinquent tax sales. Positive social change may increase by providing marginalized groups investing options