Equine strongylid parasites are ubiquitous around the world and are main targets of parasite control programmes. In recent years, automated fecal egg counting systems based on image analysis have become available allowing for collection and analysis of large-scale egg count data. This study aimed to evaluate equine strongylid fecal egg count (FEC) data generated with an automated system over three years in the US with specific attention to seasonal and regional trends in egg count magnitude and sampling activity. Five US regions were defined; North East, South East, North Central, South Central and West. The data set included state, region and zip code for each FEC. The number of FECs falling in each of the following categories were recorded: (1) 0 eggs per gram (EPG), (2) 1 ⩽ 200 EPG, (3) 201 ⩽ 500 EPG and (4) >500 EPG. The data included 58 329 FECs. A fixed effects model was constructed fitting the number of samples analysed per month, year and region, and a mixed effects model was constructed to fit the number of FECs falling in each of the 4 egg count categories defined above. The overall proportion of horses responsible for 80% of the total FEC output was 18.1%, and this was consistent across years, months and all regions except West, where the proportion was closer to 12%. Statistical analyses showed significant seasonal trends and regional differences of sampling frequency and FEC category. The data demonstrated that veterinarians tended to follow a biphasic pattern when monitoring strongylid FECs in horses, regardless of location.

Biospecimen repositories play a vital role in enabling investigation of biologic mechanisms, identification of disease-related biomarkers, advances in diagnostic assays, recognition of microbial evolution, and characterization of new therapeutic targets for intervention. They rely on the complex integration of scientific need, regulatory oversight, quality control in collection, processing and tracking, and linkage to robust phenotype information. The COVID-19 pandemic amplified many of these considerations and illuminated new challenges, all while academic health centers were trying to adapt to unprecedented clinical demands and heightened research constraints not witnessed in over 100 years. The outbreak demanded rapid understanding of SARS-CoV-2 to develop diagnostics and therapeutics, prompting the immediate need for access to high quality, well-characterized COVID-19-associated biospecimens. We surveyed 60 Clinical and Translational Science Award (CTSA) hubs to better understand the strategies and barriers encountered in biobanking before and in response to the COVID-19 pandemic. Feedback revealed a major shift in biorepository model, specimen-acquisition and consent process from a combination of investigator-initiated and institutional protocols to an enterprise-serving strategy. CTSA hubs were well equipped to leverage established capacities and expertise to quickly respond to the scientific needs of this crisis through support of institutional approaches in biorepository management.

Objectives: The association between type and amount of clinical evidence and type of National Institute for Health and Clinical Excellence recommendations for interventional procedures was examined.

Methods: The evidence about 736 studies (including 183,729 patients) relating to 130 different interventional procedures and about relevant recommendations was analyzed. Associations were examined between type of recommendation (“normal arrangements” or “cautionary guidance”) and evidence type, total number of treated patients, and mean follow-up length. Evidence type was categorized as (a) randomized, (b) nonrandomized controlled, and (c) case series/reports. The main outcome measures were frequency of evidence type, total number of patients treated, and mean follow-up length, by type of recommendation.

Results: “Normal arrangements” recommendations were made for 70 (54 percent) procedures and “cautionary guidance” was issued for 60 (46 percent) procedures. Procedures supported by at least one randomized study (34 percent, n = 44) were more likely to receive a “normal arrangements” recommendation (relative risk 1.38, p = .063). Overall, there were 85 (12 percent), 135 (18 percent), and 516 (70 percent) studies in categories a–c, respectively. The number of treated patients was significantly larger among procedures with “normal arrangements” (median, 605; range, 26–6,842) than among those with “cautionary guidance” (median, 240; range, 1–3,261; p < .001) recommendation. Mean follow-up length was longer in studies relating to procedures with “normal arrangements” recommendation (median, 16.7; range, 0–84 months) compared with those with “cautionary guidance” (median, 14.6; range, 0–67 months; p = .160).

Conclusions: Procedures supported by randomized studies, and with larger numbers of patients and longer follow-up length, were more likely to receive positive guidance. Future research and development on interventional procedures should aim to produce better and more relevant evidence to optimize the possibility of such procedures being accepted by policy makers.

Recruiting subjects for follow-up studies in child abuse raises ethical dilemmas. This paper examines the effects of the ethical stance taken in a study of a community sample of sexually abused children. The ethical code adopted required strict confidentiality and active consent to be interviewed from both child and carer, based on full information about the research objectives and method. The response rate was very low. A less rigid stance, which might have resulted in a larger sample, was considered inappropriate. Nevertheless, the quantitative and qualitative data yielded findings of interest to practitioners. Suggestions for future research practice are presented.