An Insight into Fluorinated Imines and Hydrazones as Antibacterial Agents.

Fluorinated imines (Schiff bases) and fluorinated hydrazones are of particular interest in medicinal chemistry due to their potential usefulness in treating opportunistic strains of bacteria that are resistant to commonly used antibacterial agents. The present review paper is focused on these fluorinated molecules revealing strong, moderate or weak in vitro antibacterial activities, which have been reported in the scientific papers during the last fifteen years. Fluorinated building blocks and reaction conditions used for the synthesis of imines and hydrazones are mentioned. The structural modifications, which have an influence on the antibacterial activity in all the reported classes of fluorinated small molecules, are highlighted, focusing mainly on the importance of specific substitutions. Advanced research techniques and innovations for the synthesis, design and development of fluorinated imines and hydrazones are also summarized.

Impact of application of queuing theory on operational efficiency of patient registration.

Background: Hospital administrators are often challenged with overcrowding at hospitals. The study hospital receives referred patients; however, they have to wait in long queues even for getting registered. This was a cause of concern for hospital administrators. The study was undertaken to find an amicable solution to the queues at registration using Queuing Theory. Method: This observational and interventional study was carried out in a tertiary care ophthalmic hospital. In the first phase, data of service time and arrival rate was collected. The queuing model was built using the coefficient of variation (CoV) of the observed times. Server utilization for new patient registration was found to be 1.21 and was 0.63 for revisit patients. Scenario-based simulation carried out using free software for optimal utilization of both types of servers. Recommendations made to combine the registration process and to increase one server were implemented.In the second phase, after one year, patient registration data were collected and compared for the number of patients registered using SPSS 17. Results: Number of patients registered within the registration timings increased whereas the number of patients registered after the registration timings decreased significantly at 95% CI with a p-value of less than 0.001. Queues finished early and more number of patients were registered in the same time. Conclusion: Using queuing theory, the bottleneck of the systems can be identified. Scenario and software-based simulations provide solutions to the problem of queues. The study is an application of Queuing Theory with a focus on efficient resource utilization. It can be replicated in an organization with limited resources facing the challenge of queues.

Tips and traps for behavioural animal experimentation.

Behavioural animal experimentation is an inseparable part of research trying to understand the biological underpinnings of human behaviour, diseases and disorders. Working with animals comes with great responsibility to achieve reliable and reproducible results of highest scientific quality. In a simple step-by-step fashion, we highlight some common issues that may occur along the path to conducting behavioural animal experimentations and posit some solutions and grounds to ensure the excellence of work done in this research area while aspiring to improve conditions for laboratory animals. It entails topics of study design, animal and experimenter welfare, experimental considerations and frequentist biostatistics. At the end, we direct to some guidelines and manuals that may prove valuable to researchers in this field. Our ten simple tips and traps are meant for students who are learning about important concepts for the first time; graduates whose statistics training all too often has neglected the concept of power in experimental design; and researches who would like a light-hearted refresher on these topics. With this perspective, we hope that you will avoid falling into traps and find answers to what you always wanted to know about conducting behavioural animal experimentation.

Practical strategies for qualitative inquiry in a virtual world.

AIM: The aim of this article is to provide practical strategies for maintaining methodological rigour in executing a virtual qualitative study. Strategies are based on evidence from existing research about virtual qualitative methods and on the strategies used by the authors to convert a planned in-person qualitative, grounded theory study to an entirely virtual grounded theory study during the COVID-19 pandemic. The study began in-person in September 2019 and was converted to virtual in March 2020. Virtual data collection was completed in September 2020. DESIGN: This article provides a case exemplar of virtual adaptations made to a study underway when the pandemic rendered all in-person research impractical and potentially dangerous. DATA SOURCES: The strategies discussed are based on our own experiences and the supporting theoretical assumptions of qualitative research, specifically grounded theory methods. IMPLICATIONS FOR NURSING: Nursing scholars conducting qualitative inquiry may find these strategies helpful in continuing research activities during periods of limited access to the phenomena or persons of interest. Furthermore, these strategies allow nursing scholars to conduct rigorous, in-depth research without geographical limitations, providing greater possibilities for international collaborations and cross-institution research. CONCLUSION: Despite novel challenges, methodological adaptations that are carefully planned and purposeful allow qualitative and non-qualitative scholars to continue research activities in a fully virtual manner. IMPACT: This case exemplar and discussion provide practical strategies for qualitative scholars to consider while planning new studies or converting an in-person study to a virtual one. Despite the in-person nature of in-depth qualitative inquiry, a historic pandemic and a changing research environment require qualitative researchers to adapt to virtual methods while still conducting high quality, methodologically rigorous research. Qualitative scholars can use the strategies presented here to continue rigorous qualitative inquiry despite limited access to phenomena or persons.

Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease).

AIM: The aim of this study is to compare the utility of several supervised machine learning (ML) algorithms for predicting clinical events in terms of their internal validity and accuracy. The results, which were obtained using two statistical software platforms, were also compared. MATERIALS AND METHODS: The data used in this research come from the open database of the Framingham Heart Study, which originated in 1948 in Framingham, Massachusetts as a prospective study of risk factors for cardiovascular disease. Through data mining processes, three data models were elaborated and a comparative methodological study between the different ML algorithms - decision tree, random forest, support vector machines, neural networks, and logistic regression - was carried out. The global selection criterium for choosing the right set of hyperparameters and the type of data manipulation was the area under a curve (AUC). The software tools used to analyze the data were R-Studio® and RapidMiner®. RESULTS: The Framingham study open database contains 4240 observations. The algorithm that yielded the greatest AUC when analyzing the data in R-Studio was neural network applied to a model that excluded all observations in which there was at least one missing value (AUC = 0.71); when analyzing the data in RapidMiner and applying the same model, the best algorithm was support vector machines (AUC = 0.75). CONCLUSIONS: ML algorithms can reinforce the diagnostic and prognostic capacity of traditional regression techniques. Differences between the applicability of those algorithms and the results obtained with them were a function of the software platforms used in the data analysis.

Implementation of a Web-Based Organ Donation Educational Intervention: Development and Use of a Refined Process Evaluation Model.

BACKGROUND: The lack of available organs is often considered to be the single greatest problem in transplantation today. Internet use is at an all-time high, creating an opportunity to increase public commitment to organ donation through the broad reach of Web-based behavioral interventions. Implementing Internet interventions, however, presents challenges including preventing fraudulent respondents and ensuring intervention uptake. Although Web-based organ donation interventions have increased in recent years, process evaluation models appropriate for Web-based interventions are lacking. OBJECTIVE: The aim of this study was to describe a refined process evaluation model adapted for Web-based settings and used to assess the implementation of a Web-based intervention aimed to increase organ donation among African Americans. METHODS: We used a randomized pretest-posttest control design to assess the effectiveness of the intervention website that addressed barriers to organ donation through corresponding videos. Eligible participants were African American adult residents of Georgia who were not registered on the state donor registry. Drawing from previously developed process evaluation constructs, we adapted reach (the extent to which individuals were found eligible, and participated in the study), recruitment (online recruitment mechanism), dose received (intervention uptake), and context (how the Web-based setting influenced study implementation) for Internet settings and used the adapted model to assess the implementation of our Web-based intervention. RESULTS: With regard to reach, 1415 individuals completed the eligibility screener; 948 (67.00%) were determined eligible, of whom 918 (96.8%) completed the study. After eliminating duplicate entries (n=17), those who did not initiate the posttest (n=21) and those with an invalid ZIP code (n=108), 772 valid entries remained. Per the Internet protocol (IP) address analysis, only 23 of the 772 valid entries (3.0%) were within Georgia, and only 17 of those were considered unique entries and could be considered for analyses. With respect to recruitment, 517 of the 772 valid entries (67.0%) of participants were recruited from a Web recruiter. Regarding dose received, no videos from the intervention website were watched in their entirety, and the average viewing duration was 17 seconds over the minimum. With respect to context, context analysis provided us with valuable insights into factors in the Internet environment that may have affected study implementation. Although only active for a brief period of time, the Craigslist website advertisement may have contributed the largest volume of fraudulent responses. CONCLUSIONS: We determined fraud and low uptake to be serious threats to this study and further confirmed the importance of conducting a process evaluation to identify such threats. We suggest checking participants' IP addresses before study initiation, selecting software that allows for automatic duplicate protection, and tightening minimum requirements for intervention uptake. Further research is needed to understand how process evaluation models can be used to monitor implementation of Web-based studies.

The Inclusion of African-American Study Participants in Web-Based Research Studies: Viewpoint.

The use of Web-based methods for research recruitment and intervention delivery has greatly increased as Internet usage continues to grow. These Internet-based strategies allow for researchers to quickly reach more people. African-Americans are underrepresented in health research studies. Due to this, African-Americans get less benefit from important research that could address the disproportionate health outcomes they face. Web-based research studies are one promising way to engage more African-Americans and build trust with the African-American community. With African-Americans' increasing access to the Internet using mobile phones and other mobile phone technologies, we advocate for efforts to increase the representation of African-Americans in research studies by using the Internet as a recruitment tool and conclude with recommendations that support this goal.

Participant Recruitment for Studies on Disability and Work: Challenges and Solutions.

Purpose A number of key issues related to employment of persons with disabilities demand ongoing and effective lines of inquiry. There is evidence, however, that work researchers struggle with recruitment of participants, and that this may limit the types and appropriateness of methods selected. This two phase study sought to identify the nature of recruitment challenges in workplace-based disability research, and to identify strategies for addressing identified barriers. Methods The first phase of this study was a scoping review of the literature to identify the study designs and approaches frequently used in this field of inquiry, and the success of the various recruitment methods in use. In the second phase, we used qualitative methods to explore with employers and other stakeholders in the field their perceived challenges related to participating in disability-related research, and approaches that might address these. Results The most frequently used recruitment methods identified in the literature were non-probability approaches for qualitative studies, and sampling from existing worker databases for survey research. Struggles in participant recruitment were evidenced by the use of multiple recruitment strategies, and heavy reliance on convenience sampling. Employers cited a number of barriers to participation, including time pressures, fear of legal reprisal, and perceived lack of relevance to the organization. Conclusions Participant recruitment in disability-related research is a concern, particularly in studies that require collection of new data from organizations and individuals, and where large probability samples and/or stratified or purposeful samples are desirable. A number of strategies may contribute to improved success, including development of participatory research models that will enhance benefits and perceived benefits of workplace involvement.

How can research keep up with eHealth? Ten strategies for increasing the timeliness and usefulness of eHealth research.

BACKGROUND: eHealth interventions appear and change so quickly that they challenge the way we conduct research. By the time a randomized trial of a new intervention is published, technological improvements and clinical discoveries may make the intervention dated and unappealing. This and the spate of health-related apps and websites may lead consumers, patients, and caregivers to use interventions that lack evidence of efficacy. OBJECTIVE: This paper aims to offer strategies for increasing the speed and usefulness of eHealth research. METHODS: The paper describes two types of strategies based on the authors' own research and the research literature: those that improve the efficiency of eHealth research, and those that improve its quality. RESULTS: Efficiency strategies include: (1) think small: conduct small studies that can target discrete but significant questions and thereby speed knowledge acquisition; (2) use efficient designs: use such methods as fractional-factorial and quasi-experimental designs and surrogate endpoints, and experimentally modify and evaluate interventions and delivery systems already in use; (3) study universals: focus on timeless behavioral, psychological, and cognitive principles and systems; (4) anticipate the next big thing: listen to voices outside normal practice and connect different perspectives for new insights; (5) improve information delivery systems: researchers should apply their communications expertise to enhance inter-researcher communication, which could synergistically accelerate progress and capitalize upon the availability of "big data"; and (6) develop models, including mediators and moderators: valid models are remarkably generative, and tests of moderation and mediation should elucidate boundary conditions of effects and treatment mechanisms. Quality strategies include: (1) continuous quality improvement: researchers need to borrow engineering practices such as the continuous enhancement of interventions to incorporate clinical and technological progress; (2) help consumers identify quality: consumers, clinicians, and others all need to easily identify quality, suggesting the need to efficiently and publicly index intervention quality; (3) reduce the costs of care: concern with health care costs can drive intervention adoption and use and lead to novel intervention effects (eg, reduced falls in the elderly); and (4) deeply understand users: a rigorous evaluation of the consumer's needs is a key starting point for intervention development. CONCLUSIONS: The challenges of distinguishing and distributing scientifically validated interventions are formidable. The strategies described are meant to spur discussion and further thinking, which are important, given the potential of eHealth interventions to help patients and families.

The development of a multi-criteria decision analysis aid to help with contraceptive choices: My Contraception Tool.

My Contraception Tool (MCT) applies the principles of multi-criteria decision analysis to the choice of contraceptive method. Its purpose is to make the decision-making process transparent to the user and to suggest a method to them based on their own preferences. The contraceptive option that emerges as optimal from the analysis takes account of the probability of a range of outcomes and the relative weight ascribed to them by the user. The development of MCT was a collaborative project between London School of Hygiene & Tropical Medicine, Brook, FPA and Maldaba Ltd. MCT is available online via the Brook and FPA websites. In this article we describe MCT's development and how it works. Further work is needed to assess the impact it has on decision quality and contraceptive behaviour.

Methodological integrative review of the work sampling technique used in nursing workload research.

AIM: To critically review the work sampling technique used in nursing workload research. BACKGROUND: Work sampling is a technique frequently used by researchers and managers to explore and measure nursing activities. However, work sampling methods used are diverse making comparisons of results between studies difficult. DESIGN: Methodological integrative review. DATA SOURCES: Four electronic databases were systematically searched for peer-reviewed articles published between 2002-2012. Manual scanning of reference lists and Rich Site Summary feeds from contemporary nursing journals were other sources of data. REVIEW METHODS: Articles published in the English language between 2002-2012 reporting on research which used work sampling to examine nursing workload. RESULTS: Eighteen articles were reviewed. The review identified that the work sampling technique lacks a standardized approach, which may have an impact on the sharing or comparison of results. Specific areas needing a shared understanding included the training of observers and subjects who self-report, standardization of the techniques used to assess observer inter-rater reliability, sampling methods and reporting of outcomes. CONCLUSION: Work sampling is a technique that can be used to explore the many facets of nursing work. Standardized reporting measures would enable greater comparison between studies and contribute to knowledge more effectively. Author suggestions for the reporting of results may act as guidelines for researchers considering work sampling as a research method.

Electronic health records: new opportunities for clinical research.

Clinical research is on the threshold of a new era in which electronic health records (EHRs) are gaining an important novel supporting role. Whilst EHRs used for routine clinical care have some limitations at present, as discussed in this review, new improved systems and emerging research infrastructures are being developed to ensure that EHRs can be used for secondary purposes such as clinical research, including the design and execution of clinical trials for new medicines. EHR systems should be able to exchange information through the use of recently published international standards for their interoperability and clinically validated information structures (such as archetypes and international health terminologies), to ensure consistent and more complete recording and sharing of data for various patient groups. Such systems will counteract the obstacles of differing clinical languages and styles of documentation as well as the recognized incompleteness of routine records. Here, we discuss some of the legal and ethical concerns of clinical research data reuse and technical security measures that can enable such research while protecting privacy. In the emerging research landscape, cooperation infrastructures are being built where research projects can utilize the availability of patient data from federated EHR systems from many different sites, as well as in international multilingual settings. Amongst several initiatives described, the EHR4CR project offers a promising method for clinical research. One of the first achievements of this project was the development of a protocol feasibility prototype which is used for finding patients eligible for clinical trials from multiple sources.

Neuroscience study abroad: developing a short-term summer course.

Collaborative and international scientific efforts continue to be of increasing importance in the development of successful educational and research programs. The goal of our study abroad program, Neuroscience Seminar in Germany, is to bring this fact to light for undergraduates and make them aware of the global opportunities that exist in the neurosciences and related biological sciences. Here we discuss our experience of conducting a four-week summer study abroad course in collaboration with two universities associated with the German Graduate Schools of Neuroscience: Munich Center for Neurosciences - Ludwig-Maximilians-Universität (MCN-LMU) and Charité - Universitätsmedizin, Berlin (a joint institution of the Freie Universität and the Humboldt-Universität). This course combined the historical foundations of neuroscience in Germany with current research programs at these two prominent German research universities. Two weeks were spent at each location and faculty members from the participating universities provided seminars, laboratory exercises, demonstrations and tours. Students were presented with background reading and lecture material prior to the seminars and activities. Additionally, they were responsible for leading seminar-style class discussions through brief presentations and submitting written critical analyses of primary research papers associated with the laboratory exercises. These assignments provided a means to assess learning outcomes, coupled with course evaluations. Overall, this experience may serve as a template for those interested in study abroad course development and research opportunities in the neurosciences.

Models and Tools for Investigating Eosinophilic Esophagitis at the Bench.

Eosinophilic esophagitis (EoE) is an increasingly common food allergy disease of the esophagus that received its medical designation code in 2008. Despite this recency, great strides have been made in the understanding of EoE pathophysiology and type 2 immunity through basic and translational scientific investigations conducted at the bench. These advances have been critical to our understanding of disease mechanisms and generating new hypotheses, however, there currently is only one very recently approved FDA-approved therapy for EoE, leaving a great deal to be uncovered for patients with this disease. Here we review some of the innovative methods, models and tools that have contributed to the advances in EoE discovery and suggest future directions of investigation to expand upon this foundation.

Examining the Use of Mobile Technology to Deliver Tailored Sexual Assault Prevention in a Classroom Environment in the Military: Development and Usability Study.

BACKGROUND: Advances in mobile technology over the last 10 years have expanded its use in scientific research. However, there are challenges in creating a reliable system for intervention content delivery and data collection in an environment with limited internet connectivity and limited staffing capacity. The Sexual Communication and Consent (SCC) study used tablets to provide individualized Sexual Assault Prevention and Response training in a classroom environment that was both technologically and support staff limited. OBJECTIVE: We developed the SCC Basic Military Training app and a separate Sexual Assault Response Coordinator app to support individualized training within the new SCC program. This paper presents the functionality, protocols, challenges, and feasibility of deploying mobile technology in an educational environment in the military with limited resources. METHODS: We developed both mobile apps targeting the Apple iOS ecosystem. The Basic Military Training app provided a screening instrument that routed the trainee into 1 of 5 specific intervention programs. Over 2 days of basic military training set 2 weeks apart, trainees received a combined 6 hours of program-specific tablet training, combined with universal, interactive classroom training, led by qualified instructors. The Sexual Assault Response Coordinator app, used to deliver supplemental content to a subgroup of trainees, was made available for voluntary and private use at the Sexual Assault Response Coordinator's office on base. All anonymous data were manually transferred onto laptops, where the data were aggregated into files and securely transferred to the project staff for analysis. The study was conducted at the Lackland Air Force Base, Joint Base San Antonio, with 9196 trainees providing the data. RESULTS: A total of 7742 trainees completed both the sessions of the SCC program and a series of evaluative assessments. Some trainees did not receive day 2 training, and only received day 1 training because the COVID-19 pandemic shortened the study period. Of the 190 SCC classes taught, only one class was unable to complete tablet training because of Apple licensing-related technology failure. The 360 study tablets were distributed across 3 classrooms (120 per classroom) and were handled at least 16,938 times with no reports of breakage or requiring replacement. Wi-Fi access limitations exacerbated the complexity of Apple licensing revalidation and the secure transfer of data from the classroom to project personnel. The instructor staff's limited technical knowledge to perform certain technical tasks was challenging. CONCLUSIONS: The results demonstrated the feasibility of deploying a mobile app for tablet-based training in a military educational environment. Although successful, the study was not without technical challenges. This paper gives examples of technical lessons learned and recommendations for conducting the study differently, with the aim that the knowledge gained may be helpful to other researchers encountering similar requirements.

Navigating the Dual Role of Clinician-Researcher in Qualitative Dental Research.

In qualitative research, the researcher is the research instrument. Therefore, a qualitative researcher who is also a clinician must consider how their dual position informs participant consent, data collection, and analysis. This reflexivity is essential in research design to effectively respond to ethical questions around role, authenticity, trust, and transparency around disclosing their clinician status to participants.

LunAero: Automated "smart" hardware for recording video of nocturnal migration.

Moon watching is a method of quantifying nocturnal bird migration by focusing a telescope on the moon and recording observations of flying birds silhouetted against the lunar surface. Although simple and well-established, researchers use moon watching infrequently due in part to the hours of late night observation it requires. To reduce the labor entailed in moon watching, we designed a low-cost system called LunAero that can track and record video of the moon at night. Here we present a proof-of-concept prototype that can serve as a platform for citizen scientists interested in observing nocturnal bird migration. We tested the video recording on clear nights from February 2018 to May 2019 when the moon was full or nearly full. Manual analysis of a 1.5 h sample of video revealed a total of 450 birds, which is a much higher detection rate than previous moon watching efforts have yielded. The hardware described here is part of a larger effort involving software development (currently underway) to automate recorded video analysis. We argue that LunAero can reduce the labor involved in moon watching, offer improved data quality over traditional moon watching, and provide insights into social behavior and wind-drift compensation in migrating birds.

WASP (Write a Scientific Paper): Structuring a scientific paper.

Writing and publishing scientific papers have become requisites for all scientists (researchers and academics alike) to maintain their professional career. The prospects of writing a scientific paper are often regarded as somewhat daunting to the uninitiated. However a universal, well established structure format known as "IMRAD": i.e. Introduction, Methods, Results And Discussion has been established. This paper details this methodology.

Lessons Learned: Recommendations For Implementing a Longitudinal Study Using Wearable and Environmental Sensors in a Health Care Organization.

Although traditional methods of data collection in naturalistic settings can shed light on constructs of interest to researchers, advances in sensor-based technology allow researchers to capture continuous physiological and behavioral data to provide a more comprehensive understanding of the constructs that are examined in a dynamic health care setting. This study gives examples for implementing technology-facilitated approaches and provides the following recommendations for conducting such longitudinal, sensor-based research, with both environmental and wearable sensors in a health care setting: pilot test sensors and software early and often; build trust with key stakeholders and with potential participants who may be wary of sensor-based data collection and concerned about privacy; generate excitement for novel, new technology during recruitment; monitor incoming sensor data to troubleshoot sensor issues; and consider the logistical constraints of sensor-based research. The study describes how these recommendations were successfully implemented by providing examples from a large-scale, longitudinal, sensor-based study of hospital employees at a large hospital in California. The knowledge gained from this study may be helpful to researchers interested in obtaining dynamic, longitudinal sensor data from both wearable and environmental sensors in a health care setting (eg, a hospital) to obtain a more comprehensive understanding of constructs of interest in an ecologically valid, secure, and efficient way.

Data collection via phone in multicentric research on nursing care in the face of covid-19 / Recolección de datos vía telefónica en investigación multicéntrica sobre cuidados de enfermería frente al covid-19 / Coleta de dados via telefone em pesquisa multicêntrica sobre cuidado de enfermagem frente à covid-19

ABSTRACT Objective: to report data collection via telephone carried out in multicenter research on nursing care assessment during the COVID-19 pandemic. Method: this is an experience report on using the telephone to collect quantitative and qualitative data with participants from ten Brazilian university hospitals from October 2020 to December 2021. The experience was presented in stages: 1) Operationalization of data collection via telephone; 2) Interviewing team training; 3) Monitoring and adjustments to data collection; and 4) Results of telephone contact with patients. Results: data collection planning and organization involved creating guidance manuals to guide the collectors, which were validated for clarity and agreement. For monitoring and adjustments, a weekly meeting was held with the interviewers in charge and researchers. Data from 539 respondents from the Patient Measure of Safety instrument, 643 from the Care Transitions Measure instrument and 56 from open interviews were included. Conclusion: using guidance manuals for data collection via telephone, training and follow-up meetings are strategies that can enhance this strategy in multicenter research when in-person data collection is impossible.

RESUMEN Objetivo: informar la recolección de datos vía telefónica realizada en una investigación multicéntrica sobre la evaluación de los cuidados de enfermería durante la pandemia de COVID-19. Método: informe de experiencia sobre el uso del teléfono para la recolección de datos cuantitativos y cualitativos con participantes de diez hospitales universitarios brasileños, de octubre de 2020 a diciembre de 2021. La experiencia fue presentada en etapas: 1) Operacionalización de la recolección de datos por teléfono; 2) Capacitación del equipo entrevistador; 3) Monitoreo y ajustes a la recolección de datos; y 4) Resultados del contacto telefónico con el paciente. Resultados: la planificación y organización de la recolección de datos implicó la creación de manuales de orientación para guiar a los recolectores, los cuales fueron validados por su claridad y acuerdo. Para el seguimiento y ajustes se realizó una reunión semanal con los entrevistadores e investigadores responsables. Se incluyeron datos de 539 encuestados del instrumento Patient Measure of Safety, 643 del instrumento Care Transitions Measure y 56 entrevistas abiertas. Conclusión: el uso de manuales de orientación para la recolección de datos vía telefónica, capacitación y reuniones de seguimiento son estrategias que pueden potenciar esta estrategia en investigaciones multicéntricas cuando la recolección de datos presencial es imposible.

RESUMO Objetivo: Relatar a coleta de dados via telefone realizada em pesquisa multicêntrica sobre avaliação do cuidado de enfermagem durante a pandemia da COVID-19. Método: Relato de experiência sobre o uso do telefone para coleta de dados quantitativos e qualitativos com participantes de dez Hospitais Universitários Brasileiros, de outubro de 2020 a dezembro de 2021. A experiência foi apresentada segundo etapas: 1) Operacionalização da coleta de dados via telefone; 2) Capacitação da equipe de entrevistadores; 3) Acompanhamento e ajustes da coleta de dados; e 4) Resultados do contato telefônico com o paciente. Resultados: O planejamento e a organização da coleta de dados envolveram a construção de manuais de orientação para guiar os coletadores, os quais passaram por validação quanto à clareza e concordância. Para acompanhamento e ajustes, realizou-se reunião semanal com os entrevistadores e pesquisadores responsáveis. Foram incluídos dados de 539 respondentes do instrumento Patient Measure of Safety, de 643 do instrumento Care Transitions Measure e de 56 entrevistas abertas. Conclusão: A utilização de manuais de orientação para coleta de dados via telefone, realização de treinamentos e reuniões de acompanhamento são estratégias que podem potencializar essa estratégia em pesquisas multicêntricas, quando da impossibilidade de coleta face-a-face.