RESUMO
Background: The Antimicrobial Resistance Laboratory Network (AR Lab Network) was developed by the CDC to detect emerging antimicrobial-resistant (AR) threats and prevent outbreaks. However, low submission rates of AR isolates limit the potential of the AR Lab Network to address antimicrobial resistance (AMR). Aim: The aim of this study was to investigate barriers to submission of AR isolates in acute care hospitals (ACHs) and critical access hospitals (CAHs) within Texas Public Health Region 8 (PHR8) counties. Methods: A survey was designed and emailed to laboratory professionals to identify barriers to AR isolate submission. Responses were analyzed using 2-sided Fisher's exact tests to identify associations between responses and respondent characteristics. Results: Of the 33 hospitals within PHR8 invited to participate in the survey, responses were received from 21, a response rate of 63.6%. Lack of awareness of the AR Lab Network was the most frequently cited barrier to submission (65.4% of respondents). Other reported barriers to submission included lack of laboratory staff time (57.7%), lack of training with the submission process (34.6%), lack of personnel certified to ship infectious substances (23.1%), and lack of laboratory/shipping supplies (23.1%). Discussion: Regardless of the respondent's role, time in that role, or type of hospital in which they worked, the most common barrier to isolate submission was lack of awareness of the AR Lab Network. In the future, we will address the identified barriers by implementing educational outreach programs about AMR and the AR Lab Network for hospitals and other healthcare facilities within PHR8.
RESUMO
Background: Bibliometric analysis is a useful tool for measuring the scholarly impact of a topic and its more and less heavily studied aspects. The purpose of this study is to use bibliometric analysis to comprehensively analyze the 50 articles with the highest citation indices in studies evaluating the treatment and outcomes of massive rotator cuff tears (mRCTs). Methods: This cross-sectional study identified articles within the Scopus database published through December 2022. Keywords used were "massive rotator cuff tear." Articles were sorted in chronological order. The year published and number of citations were recorded. A citation index (CI) was calculated for each article by dividing the number of citations by number of years published [1 citation/1 year published (2021) = CI of 1]. Of these, the 50 articles with the highest CIs were carried forward for evaluation. Frequencies and distributions were assessed for data of each variable collected. Results: These search methods produced 625 articles regarding mRCT research (ranging from January 1986 to December 2022). Four of the top 10 most impactful articles were published in the 2010s. The level of evidence (LOE) published with the greatest frequency was level of evidence 4 (41%). The journal Arthroscopy published the highest number within the top 50 (26%) followed by the Journal of Bone and Joint Surgery and the American Journal of Sports Medicine (20% each). Clinical studies composed 88% of the top 50. Case series (38%) predominated, while systematic reviews (20%) and randomized control trials (8%) were less prevalent. The majority of studies concentrated on the clinical outcomes of certain interventions (62%), mainly comparing multiple interventions. Conclusion: Despite the relatively high prevalence of mRCTs (40% of all tears), this topic comprises only a small proportion of all rotator cuff research. This analysis has identified gaps within and limitations of the findings concerning mRCTs for researchers to propose research questions targeting understudied topics and influence the future treatment and outcomes of this clinically difficult diagnosis.