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Background: Fabry disease (FD), the second most prevalent lysosomal storage disorder, is classified as a rare disease. It often leads to significant quality of life impairments and premature death. Many cases remain undiagnosed due to the rarity and heterogeneity. Further, costs related to treatment often constitute a substantial financial burden for patients and health systems. While its epidemiology is still unclear, newborn screenings suggest that its actual prevalence rate is significantly higher than previously suspected. Methods: Based on well-established methodologies, this study gives an overview about the background of the development of FD-related research and provides a critical view of future needs. Results: On the grounds of benchmarking findings, an increasing research activity on FD can be observed. Most publishing countries are the USA, some European countries, Japan, Taiwan, and South Korea. In general, high-income countries publish comparably more on FD than low- or middle-income economies. The countries' financial and infrastructural background are unveiled as crucial factors for the FD research activity. Conclusions: Overall, there is a need to foster FD research infrastructure in developing and emerging countries with focus on cost-intensive genetic research that is independent from economic interests of big pharmaceutical companies.
Needlestick injuries: a density-equalizing mapping and socioeconomic analysis of the global research
(2020)
Background: Needlestick injuries have caused a deleterious effect on the physical and mental health of millions of health-care workers over the past decades, being responsible for occupational infections with viruses such as HIV or hepatis C. Despite this heavy burden of disease, no concise studies have been published on the global research landscape so far.
Methods: We used the New Quality and Quantity Indices in Science platform to analyze global NSI research (n = 2987 articles) over the past 115 years using the Web of Science and parameters such as global versus country-specific research activities, semi-qualitative issues, and socioeconomic figures.
Results: Density-equalizing mapping showed that although a total of n = 106 countries participated in NSI research, large parts of Africa and South America were almost invisible regarding global participation in NSI research. Average citation rate (cr) analysis indicated a high rate for Switzerland (cr = 25.1), Italy (cr = 23.5), and Japan (cr = 19.2). Socioeconomic analysis revealed that the UK had the highest quotient QGDP of 0.13 NSI-specific publications per bill. US-$ gross domestic product (GDP), followed by South Africa (QGDP = 0.12). Temporal analysis of HIV versus hepatitis research indicated that NSI-HIV research culminated in the early 1990s, whereas NSI-hepatitis research increased over the observed period from the 1980s until the last decade.
Conclusion: Albeit NSI research activity is generally increasing, the growth is asymmetrical from a global viewpoint. International strategies should be followed that put a focus on NSI in non-industrialized areas of the world.
Background: The adequate allocation of inpatient care resources requires assumptions about the need for health care and how this need will be met. However, in current practice, these assumptions are often based on outdated methods (e.g. Hill-Burton Formula). This study evaluated floating catchment area (FCA) methods, which have been applied as measures of spatial accessibility, focusing on their ability to predict the need for health care in the inpatient sector in Germany.
Methods: We tested three FCA methods (enhanced (E2SFCA), modified (M2SFCA) and integrated (iFCA)) for their accuracy in predicting hospital visits regarding six medical diagnoses (atrial flutter/fibrillation, heart failure, femoral fracture, gonarthrosis, stroke, and epilepsy) on national level in Germany. We further used the closest provider approach for benchmark purposes. The predicted visits were compared with the actual visits for all six diagnoses using a correlation analysis and a maximum error from the actual visits of ± 5%, ± 10% and ± 15%.
Results: The analysis of 229 million distances between hospitals and population locations revealed a high and significant correlation of predicted with actual visits for all three FCA methods across all six diagnoses up to ρ = 0.79 (p < 0.001). Overall, all FCA methods showed a substantially higher correlation with actual hospital visits compared to the closest provider approach (up to ρ = 0.51; p < 0.001). Allowing a 5% error of the absolute values, the analysis revealed up to 13.4% correctly predicted hospital visits using the FCA methods (15% error: up to 32.5% correctly predicted hospital). Finally, the potential of the FCA methods could be revealed by using the actual hospital visits as the measure of hospital attractiveness, which returned very strong correlations with the actual hospital visits up to ρ = 0.99 (p < 0.001).
Conclusion: We were able to demonstrate the impact of FCA measures regarding the prediction of hospital visits in non-emergency settings, and their superiority over commonly used methods (i.e. closest provider). However, hospital beds were inadequate as the measure of hospital attractiveness resulting in low accuracy of predicted hospital visits. More reliable measures must be integrated within the proposed methods. Still, this study strengthens the possibilities of FCA methods in health care planning beyond their original application in measuring spatial accessibility.