A Scalable Pseudonymization Tool for Rapid Deployment in Large Biomedical Research Networks: Development and Evaluation Study

Background

The SARS-CoV-2 pandemic has demonstrated once again that rapid collaborative research is essential for the future of biomedicine. Large research networks are needed to collect, share, and reuse data and biosamples to generate collaborative evidence. However, setting up such networks is often complex and time-consuming, as common tools and policies are needed to ensure interoperability and the required flows of data and samples, especially for handling personal data and the associated data protection issues. In biomedical research, pseudonymization detaches directly identifying details from biomedical data and biosamples and connects them using secure identifiers, the so-called pseudonyms. This protects privacy by design but allows the necessary linkage and reidentification.

Objective

Although pseudonymization is used in almost every biomedical study, there are currently no pseudonymization tools that can be rapidly deployed across many institutions. Moreover, using centralized services is often not possible, for example, when data are reused and consent for this type of data processing is lacking. We present the ORCHESTRA Pseudonymization Tool (OPT), developed under the umbrella of the ORCHESTRA consortium, which faced exactly these challenges when it came to rapidly establishing a large-scale research network in the context of the rapid pandemic response in Europe.

Methods

To overcome challenges caused by the heterogeneity of IT infrastructures across institutions, the OPT was developed based on programmable runtime environments available at practically every institution: office suites. The software is highly configurable and provides many features, from subject and biosample registration to record linkage and the printing of machine-readable codes for labeling biosample tubes. Special care has been taken to ensure that the algorithms implemented are efficient so that the OPT can be used to pseudonymize large data sets, which we demonstrate through a comprehensive evaluation.

Results

The OPT is available for Microsoft Office and LibreOffice, so it can be deployed on Windows, Linux, and MacOS. It provides multiuser support and is configurable to meet the needs of different types of research projects. Within the ORCHESTRA research network, the OPT has been successfully deployed at 13 institutions in 11 countries in Europe and beyond. As of June 2023, the software manages data about more than 30,000 subjects and 15,000 biosamples. Over 10,000 labels have been printed. The results of our experimental evaluation show that the OPT offers practical response times for all major functionalities, pseudonymizing 100,000 subjects in 10 seconds using Microsoft Excel and in 54 seconds using LibreOffice.

Conclusions

Innovative solutions are needed to make the process of establishing large research networks more efficient. The OPT, which leverages the runtime environment of common office suites, can be used to rapidly deploy pseudonymization and biosample management capabilities across research networks. The tool is highly configurable and available as open-source software.

Listening to School Nurses' Voices: A Mixed Methods Study on the Continued Impact of COVID-19 on School Nursing Practice

School closures in March 2020 due to the COVID-19 pandemic precipitated losses of critical student resources as physical, mental, emotional, and social needs escalated. Identifying the challenges, strategies, and changes in school nurse (SN) practice in Massachusetts during this pandemic is fundamental to understanding how to manage future anticipated pandemics while protecting children, communities, and SNs. The purpose of this mixed-methods descriptive study in the second year of the global pandemic was to (a) listen to SN voices through a novel online survey including the prompts of challenges, strategies, and practice changes and (b) describe the SN experience of COVID-19 response in Massachusetts schools, including identification of intent to leave school nursing. Responses were analyzed using descriptive qualitative analysis (n  =  73). The prompts each elicited subthemes that coalesced to a cohesive theme: Finding one's way required the support of others to pave untraversed roads.

Cerebral autoregulation, spreading depolarization, and implications for targeted therapy in brain injury and ischemia

Cerebral autoregulation is an intrinsic myogenic response of cerebral vasculature that allows for preservation of stable cerebral blood flow levels in response to changing systemic blood pressure. It is effective across a broad range of blood pressure levels through precapillary vasoconstriction and dilation. Autoregulation is difficult to directly measure and methods to indirectly ascertain cerebral autoregulation status inherently require certain assumptions. Patients with impaired cerebral autoregulation may be at risk of brain ischemia. One of the central mechanisms of ischemia in patients with metabolically compromised states is likely the triggering of spreading depolarization (SD) events and ultimately, terminal (or anoxic) depolarization. Cerebral autoregulation and SD are therefore linked when considering the risk of ischemia. In this scoping review, we will discuss the range of methods to measure cerebral autoregulation, their theoretical strengths and weaknesses, and the available clinical evidence to support their utility. We will then discuss the emerging link between impaired cerebral autoregulation and the occurrence of SD events. Such an approach offers the opportunity to better understand an individual patient's physiology and provide targeted treatments.

The evolution of ScotRIGHT: The first pan-Scotland physician trainee research network

Scotland has a distinguished track record in foundational clinical research. From the completion of the first clinical trial undertaken in scurvy to cloning the world's first whole mammal, Scottish basic and clinical research is world leading. More recently, challenges in access to research skills, funding and programmes by clinical trainees led to the development of alternatives to these typical avenues of accessing research opportunities. Trainee networks evolved to meet the needs of trainees looking to access projects and collaboratives beyond audit and quality improvement commonly performed during structured training. These networks have enjoyed enormous success and have succeeded in progressing projects which have impactful outputs for patients, and improving clinical services. Here, we describe the foundation of the first pan-Scotland physician trainee research network; Scottish Trainees Research In Gastroterology and Hepatology (ScotRIGHT). We outline the foundational efforts, requisites and foundations required to develop a research network.

Data Quality in Health Research: Integrative Literature Review

BACKGROUND

Decision-making and strategies to improve service delivery must be supported by reliable health data to generate consistent evidence on health status. The data quality management process must ensure the reliability of collected data. Consequently, various methodologies to improve the quality of services are applied in the health field. At the same time, scientific research is constantly evolving to improve data quality through better reproducibility and empowerment of researchers and offers patient groups tools for secured data sharing and privacy compliance.

OBJECTIVE

Through an integrative literature review, the aim of this work was to identify and evaluate digital health technology interventions designed to support the conducting of health research based on data quality.

METHODS

A search was conducted in 6 electronic scientific databases in January 2022: PubMed, SCOPUS, Web of Science, Institute of Electrical and Electronics Engineers Digital Library, Cumulative Index of Nursing and Allied Health Literature, and Latin American and Caribbean Health Sciences Literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist and flowchart were used to visualize the search strategy results in the databases.

RESULTS

After analyzing and extracting the outcomes of interest, 33 papers were included in the review. The studies covered the period of 2017-2021 and were conducted in 22 countries. Key findings revealed variability and a lack of consensus in assessing data quality domains and metrics. Data quality factors included the research environment, application time, and development steps. Strategies for improving data quality involved using business intelligence models, statistical analyses, data mining techniques, and qualitative approaches.

CONCLUSIONS

The main barriers to health data quality are technical, motivational, economical, political, legal, ethical, organizational, human resources, and methodological. The data quality process and techniques, from precollection to gathering, postcollection, and analysis, are critical for the final result of a study or the quality of processes and decision-making in a health care organization. The findings highlight the need for standardized practices and collaborative efforts to enhance data quality in health research. Finally, context guides decisions regarding data quality strategies and techniques.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1101/2022.05.31.22275804.

Child Abuse Pediatrics Research Network: The CAPNET Core Data Project

OBJECTIVE

Examine the epidemiology of subspecialty physical abuse evaluations within CAPNET, a multicenter child abuse pediatrics research network.

METHODS

We conducted a cross-sectional study of children <10 years old who underwent an evaluation (in-person or remote) by a child abuse pediatrician (CAP) due to concerns for physical abuse at ten CAPNET hospital systems from February 2021 through December 2021.

RESULTS

Among 3667 patients with 3721 encounters, 69.4% were <3 years old; 44.3% <1 year old, 59.1% male; 27.1% Black; 57.8% White, 17.0% Hispanic; and 71.0 % had public insurance. The highest level of care was outpatient/emergency department in 60.7%, inpatient unit in 28.0% and intensive care in 11.4%. CAPs performed 79.1% in-person consultations and 20.9% remote consultations. Overall, the most frequent injuries were bruises (35.2%), fractures (29.0%), and traumatic brain injuries (TBI) (16.2%). Abdominal (1.2%) and spine injuries (1.6%) were uncommon. TBI was diagnosed in 30.6% of infants but only 8.4% of 1-year old children. In 68.2% of cases a report to child protective services (CPS) was made prior to CAP consultation; in 12.4% a report was made after CAP consultation. CAPs reported no concern for abuse in 43.0% of cases and mild/intermediate concern in 22.3%. Only 14.2% were categorized as definite abuse.

CONCLUSION

Most children in CAPNET were <3 years old with bruises, fractures, or intracranial injuries. CPS reports were frequently made prior to CAP consultation. CAPs had a low level of concern for abuse in majority of cases.

Development of research network on Quantum Annealing Computation and Information using Google Scholar data

We build and analyse the network of 100 top-cited nodes (research papers and books from Google Scholar; the strength or citation of the nodes range from about 44 000 up to 100) starting in early 1980 until last year. These searched publications (papers and books) are based on Quantum Annealing Computation and Information categorized into four different sets: (A) Quantum/Transverse Field Spin Glass Model, (B) Quantum Annealing, (C) Quantum Adiabatic Computation and (D) Quantum Computation Information in the title or abstract of the searched publications. We fitted the growth in the annual number of publication ([Formula: see text]) in each of these four categories, A-D, to the form [Formula: see text] where [Formula: see text] denotes the time in years. We found the scaling time [Formula: see text] to be of the order of about 10 years for categories A and C, whereas [Formula: see text] is of the order of about 5 years for categories B and D. This article is part of the theme issue 'Quantum annealing and computation: challenges and perspectives'.

HPV Vaccination Rates of 7th Grade Students After a Strong Recommending Statement from the School Nurse

The Human Papillomavirus (HPV) vaccine can prevent 90% of cancers caused by HPV. Health care provider recommendations affect vaccine uptake, yet there are a lack of studies examining the impact of the school nurse (SN) in vaccine recommendations. The purpose of this study was to evaluate the impact of adding a SN HPV recommendation to the standard vaccination letter sent to parents/guardians. The rate of vaccination between the intervention and control schools was not statistically significant (Estimate (Std. Error) = -0.3066 (0.2151), p = 0.154). After controlling for age, sex, race, insurance type, and medical practice type, there was no significant difference in the likelihood to receive the HPV vaccine (OR = 1.53, 95% CI: 0.563-4.19 in 2018; OR = 1.34, 95% CI: 0.124-14.54 in 2019. Further work is needed to clarify how school nurses can better promote HPV vaccine, and which adolescent demographic groups (e.g., race, insurance type, provider type) face barriers to HPV vaccine uptake.

General practitioners' willingness to participate in research networks in Germany

OBJECTIVES

To investigate general practitioners' (GPs') willingness to participate in long-term medical research and in research networks (RNs).

DESIGN AND SETTING

Cross-sectional survey among German GPs around Halle-Wittenberg and Leipzig in 2020.

SUBJECTS

Random sample of 905 GPs.

MAIN OUTCOME MEASURES AND RESULTS

Response rate 37%, 69% female. Overall, 57% were interested in participating in medical research, 34% in an active role in a RN. Interest in RN participation was positively associated with male sex, younger age, previous experiences in medical research, being involved in teaching undergraduates, and having qualification in a further specialty. Main motivators were improving patient care, giving a more realistic picture of GP care, and carrying out research on topics within their own interest areas and a reliable contact person at the leading institution. Most GPs were not afraid of reduced earnings; however, time investment was the main barrier for participation. GPs were willing to dedicate twice as much time to research when remuneration was offered. High rated topics were polypharmacy, chronic diseases, drug safety and adverse drug reactions.

CONCLUSION

GPs are interested to participate in practice-based research. The study results providing useful and generalizable insights in barriers and motivators should be considered when building and running GP-RNs.KEY POINTSThere is a difference between general practitioners' (GPs') overall interest in clinical research and their job and socio-demographic related readiness to participate in research networks (RNs).GPs are interested in RNs when it is a resource of and leading to enhanced patient-oriented care.GPs are willing to dedicate twice as much time to research when remunerated.GPs need a reliable counterpart within the leading institution.

Self-Reported Data and Physician-Reported Data in Patients With Eosinophilic Granulomatosis With Polyangiitis: Comparative Analysis

Background

Patient-based registries can help advance research on rare diseases such as eosinophilic granulomatosis with polyangiitis (EGPA), a complex multiorgan form of antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis.

Objective

The aim of this study is to compare patient-reported and physician-reported data on manifestations, treatments, and outcomes for patients with EGPA.

Methods

We completed a comparative analysis of patients ≥18 years with EGPA in Canada and the United States from the following 2 cohorts: (1) The Vasculitis Patient-Powered Research Network (VPPRN), a self-enrolled secure portal with patient-entered data updated quarterly (2014-2019) and (2) the Vasculitis Clinical Research Consortium (VCRC) observational studies, a physician-entered database (2003-2019) of patients who fulfilled the 1990 American College of Rheumatology classification criteria for EGPA. The studied parameters included demographic characteristics, clinical manifestations, ANCA status, treatments, and relapses.

Results

Data from 195 patients with a validated diagnosis of EGPA in the VPPRN and 354 patients enrolled in the VCRC were analyzed. Compared to the VCRC cohort, the patients in the VPPRN cohort were more likely to be female (135/195, 69.2% compared to 209/354, 59%; P=.02) and younger at diagnosis (47.3 compared to 50.0 years; P=.03); both cohorts reported similar frequencies of asthma (177/184, 96.2% in the VPPRN cohort compared to 329/354, 92.9% in the VCRC cohort; P=.13) and cardiac manifestations (44/153, 28.8% compared to 75/354, 21.2%; P=.06), but the VPPRN cohort reported less frequent lung manifestations other than asthma and more frequent disease manifestations in all other organ systems. The ANCA positivity was 48.9% (64/131) in the VPPRN patients compared to 38.9% (123/316; P=.05) in the VCRC cohort. Relapsing disease after study enrollment was reported in 32.3% (63/195) of patients in the VPPRN compared to 35.7% (99/277) of patients in the VCRC. Most therapies (GC, cyclophosphamide, mepolizumab) were used at similar frequencies in both groups, except for rituximab with VPPRN patients reporting more use than the VCRC cohort (47/195, 24.1% compared to 29/277, 10.5%; P<.001).

Conclusions

Overall, patients and physicians report manifestations of EGPA at similar frequencies. However, observed differences between patient and physician reports imply the potential occurrence of selection biases. These results support the use of patient-reported data in EGPA but also the need for careful consideration of disease-specific definitions for the study of EGPA and how patient- and physician-reported data are collected.

Trial Registration

ClinicalTrials.gov NCT00315380, https://clinicaltrials.gov/ct2/show/NCT00315380; ClinicalTrials.gov NCT01241305, https://clinicaltrials.gov/ct2/show/NCT01241305

The Cosmos Collaborative: A Vendor-Facilitated Electronic Health Record Data Aggregation Platform

Objective

Learning healthcare systems use routinely collected data to generate new evidence that informs future practice. While implementing an electronic health record (EHR) system can facilitate this goal for individual institutions, meaningfully aggregating data from multiple institutions can be more empowering. Cosmos is a cross-institution, single EHR vendor-facilitated data aggregation tool. This work aims to describe the initiative and illustrate its potential utility through several use cases.

Methods

Cosmos is designed to scale rapidly by leveraging preexisting agreements, clinical health information exchange networks, and data standards. Data are stored centrally as a limited dataset, but the customer facing query tool limits results to prevent patient reidentification.

Results

In 2 years, Cosmos grew to contain EHR data of more than 60 million patients. We present practical examples illustrating how Cosmos could further efforts in chronic disease surveillance (asthma and obesity), syndromic surveillance (seasonal influenza and the 2019 novel coronavirus), immunization adherence and adverse event reporting (human papilloma virus and measles, mumps, rubella, and varicella vaccination), and health services research (antibiotic usage for upper respiratory infection).

Discussion

A low barrier of entry for Cosmos allows for the rapid accumulation of multi-institutional and mostly de-duplicated EHR data to power research and quality improvement queries characteristic of learning healthcare systems. Limitations are being vendor-specific, an “all or none” contribution model, and the lack of control over queries run on an institution’s healthcare data.

Conclusion

Cosmos provides a model for within-vendor data standardization and aggregation and a steppingstone for broader intervendor interoperability.

Barriers and solutions to developing and maintaining research networks during a pandemic: An example from the iELEVATE perinatal network

Introduction

To improve maternal health outcomes, increased diversity is needed among pregnant people in research studies and community surveillance. To expand the pool, we sought to develop a network encompassing academic and community obstetrics clinics. Typical challenges in developing a network include site identification, contracting, onboarding sites, staff engagement, participant recruitment, funding, and institutional review board approvals. While not insurmountable, these challenges became magnified as we built a research network during a global pandemic. Our objective is to describe the framework utilized to resolve pandemic-related issues.

Methods

We developed a framework for site-specific adaptation of the generalized study protocol. Twice monthly video meetings were held between the lead academic sites to identify local challenges and to generate ideas for solutions. We identified site and participant recruitment challenges and then implemented solutions tailored to the local workflow. These solutions included the use of an electronic consent and videoconferences with local clinic leadership and staff. The processes for network development and maintenance changed to address issues related to the COVID-19 pandemic. However, aspects of the sample processing/storage and data collection elements were held constant between sites.

Results

Adapting our consenting approach enabled maintaining study enrollment during the pandemic. The pandemic amplified issues related to contracting, onboarding, and IRB approval. Maintaining continuity in sample management and clinical data collection allowed for pooling of information between sites.

Conclusions

Adaptability is key to maintaining network sites. Rapidly changing guidelines for beginning and continuing research during the pandemic required frequent intra- and inter-institutional communication to navigate.

Research Trends in Individuals at High Risk for Psychosis: A Bibliometric Analysis

The study of clinical high risk for psychosis (CHR-P) has progressed rapidly over the last decades and has developed into a significant branch of schizophrenia research. Organizing the information about this rapidly growing subject through bibliometric analysis enables us to gain a better understanding of current research trends and future directions to be pursued. Electronic searches from January 1991 to December 2020 yielded 5,601 studies, and included 1,637 original articles. After processing the data, we were able to determine that this field has grown significantly in a short period of time. It has been confirmed that researchers, institutions, and countries are collaborating closely to conduct research; moreover, these networks are becoming increasingly complex over time. Additionally, there was a shift over time in the focus of the research subject from the prodrome, recognition, prevention, diagnosis to cognition, neuroimaging, neurotransmitters, cannabis, and stigma. We should aim for collaborative studies in which various countries participate, thus covering a wider range of races and cultures than would be covered by only a few countries.

Expectations of Health Researchers From Academic Social Network Sites: Qualitative Study

BACKGROUND

Today, academic social network sites' role in improving the quality of education and how investigators conduct their research has become more critical.

OBJECTIVE

This study aimed to investigate Iranian health researchers' requirements for academic social network sites from a low-income country perspective.

METHODS

This qualitative study with a phenomenological approach was done in 2020. In this study, 23 researchers in the health system were selected by purposive sampling. Semistructured interviews were used to collect data. Data were analyzed by MaxQDA-10 software and the content analysis method.

RESULTS

We identified 2 categories of functional and technical characteristics in the study participants' expectations. Functional characteristics included facilitating communication and team activities, managing scientific publications, enhancing the process of conducting research, being informative, and sharing and trading laboratory materials and equipment. Technical characteristics of an academic social network include user management capabilities, high security and privacy, being user-friendly, and other technical features.

CONCLUSIONS

Health researchers emphasized 2 functional and technical characteristics required to meet academic social network sites' expectations.

Connecting the data landscape of long-term ecological studies: The SPI-Birds data hub

The integration and synthesis of the data in different areas of science is drastically slowed and hindered by a lack of standards and networking programmes. Long-term studies of individually marked animals are not an exception. These studies are especially important as instrumental for understanding evolutionary and ecological processes in the wild. Furthermore, their number and global distribution provides a unique opportunity to assess the generality of patterns and to address broad-scale global issues (e.g. climate change). To solve data integration issues and enable a new scale of ecological and evolutionary research based on long-term studies of birds, we have created the SPI-Birds Network and Database (www.spibirds.org)-a large-scale initiative that connects data from, and researchers working on, studies of wild populations of individually recognizable (usually ringed) birds. Within year and a half since the establishment, SPI-Birds has recruited over 120 members, and currently hosts data on almost 1.5 million individual birds collected in 80 populations over 2,000 cumulative years, and counting. SPI-Birds acts as a data hub and a catalogue of studied populations. It prevents data loss, secures easy data finding, use and integration and thus facilitates collaboration and synthesis. We provide community-derived data and meta-data standards and improve data integrity guided by the principles of Findable, Accessible, Interoperable and Reusable (FAIR), and aligned with the existing metadata languages (e.g. ecological meta-data language). The encouraging community involvement stems from SPI-Bird's decentralized approach: research groups retain full control over data use and their way of data management, while SPI-Birds creates tailored pipelines to convert each unique data format into a standard format. We outline the lessons learned, so that other communities (e.g. those working on other taxa) can adapt our successful model. Creating community-specific hubs (such as ours, COMADRE for animal demography, etc.) will aid much-needed large-scale ecological data integration.

The Danish Network for Community Pharmacy Practice Research and Development

The community pharmacy has a number of attributes that makes it an excellent setting for research and development projects, as it is a highly accessible part of the healthcare system and is staffed by highly trained health care professionals. The big turnover in patients in the community pharmacy makes it possible to reach a great number of patients and collect a lot of data in a relatively short time. However, conducting nation-wide research and development projects can be a rather time-consuming process for the individual community pharmacy, and can thus require collaboration with other community pharmacies and researchers. This will help ensure strong results and better implementation. Thus, the Danish Network for Community Pharmacy Practice for Research and Development (NUAP) was established in Denmark by a number of highly committed community pharmacies and researchers. NUAP consists of 102 member pharmacy owners in addition to a number of researchers. The aim of the network is to strengthen pharmacy practice and pharmacy practice research in Denmark by providing a forum where community pharmacy practitioners and researchers meet and work together. The network is led by a steering committee elected by the members in the network.

Operationalisation of the Randomized Embedded Multifactorial Adaptive Platform for COVID-19 trials in a low and lower-middle income critical care learning health system

The Randomized Embedded Multifactorial Adaptive Platform (REMAP-CAP) adapted for COVID-19) trial is a global adaptive platform trial of hospitalised patients with COVID-19. We describe implementation in three countries under the umbrella of the Wellcome supported Low and Middle Income Country (LMIC) critical  care network: Collaboration for Research, Implementation and Training in Asia (CCA). The collaboration sought to overcome known barriers to multi centre-clinical trials in resource-limited settings. Methods described focused on six aspects of implementation: i, Strengthening an existing community of practice; ii, Remote study site recruitment, training and support; iii, Harmonising the REMAP CAP- COVID trial with existing care processes; iv, Embedding REMAP CAP- COVID case report form into the existing CCA registry platform, v, Context specific adaptation and data management; vi, Alignment with existing pandemic and critical care research in the CCA. Methods described here may enable other LMIC sites to participate as equal partners in international critical care trials of urgent public health importance, both during this pandemic and beyond.

Spanish Cell Therapy Network (TerCel): 15 years of successful collaborative translational research

In the current article we summarize the 15-year experience of the Spanish Cell Therapy Network (TerCel), a successful collaborative public initiative funded by the Spanish government for the support of nationwide translational research in this important area. Thirty-two research groups organized in three programs devoted to cardiovascular, neurodegenerative and immune-inflammatory diseases, respectively, currently form the network. Each program has three working packages focused on basic science, pre-clinical studies and clinical application. TerCel has contributed during this period to boost the translational research in cell therapy in Spain, setting up a network of Good Manufacturing Practice-certified cell manufacturing facilities- and increasing the number of translational research projects, publications, patents and clinical trials of the participating groups, especially those in collaboration. TerCel pays particular attention to the public-private collaboration, which, for instance, has led to the development of the first allogeneic cell therapy product approved by the European Medicines Agency, Darvadstrocel. The current collaborative work is focused on the development of multicenter phase 2 and 3 trials that could translate these therapies to clinical practice for the benefit of patients.

Implementing a Central IRB Model in a Multicenter Research Network

Implementing the National Institutes of Health's (NIH's) new single institutional review board (IRB) policy has caused a paradigm shift in IRB review across the country. IRBs and human research protection programs are looking more closely at their processes for ceding review and developing procedures to handle local review when relying on a single IRB. This article describes an NIH-funded network that proactively instituted a central IRB (CIRB) in 2012, anticipating the NIH future mandate. Lessons learned are described. There was a steep learning curve for IRBs and participating sites. IRB submission workload burden shifted from study teams to the data coordinating center, which created new workflow challenges, especially preparing hundreds of consent documents centrally. Despite difficulties encountered with CIRB review, this network is now fully functioning under a CIRB model. Further review and experience are needed to determine whether this shift in IRB review has eliminated duplicative review or regulatory burden from study teams.

The Canadian Traumatic Brain Injury Research Consortium: Epitomizing Collaborative Research in Canada

Traumatic brain injury (TBI) is the leading cause of death in the first half of life and a chronic disability for Canadians of all ages. Despite the recognized importance of TBI, there is no integrated national strategy for research and best practices in Canada. We therefore created the Canadian TBI Research Consortium (CTRC) to build an ideal model of collaboration between Canadian TBI researchers. Our objectives were to: (1) Create a collaborative Canadian research network, (2) improve patient survival, functional outcome, and health through sustainable and scalable evidence-based practice implementation, (3) strengthen the healthcare system for patients with TBI, (4) provide international leadership and collaboration in TBI research, (5) build stronger links with patients and their representatives to help set the research agenda, and to participate in analysis of its impacts, and (6) support current researchers and prepare the next generation of leaders in TBI research. Building on the highly successful 30-year history of the Canadian Critical Care Trials Group, we developed a highly collaborative research group that integrates the multi-disciplinary network of TBI researchers in Canada. The CTRC conducts multi-center clinically relevant practice changing research. Our research is developed around investigator-led project-based research using a programmatic approach and multiple methodologies. Through strong and sustainable career development and mentorship programs, we train and develop the next generation of TBI researchers. Our group is composed of more than 100 Canadian researchers from coast to coast, most of them funded by the Canadian Institutes of Health Research and other granting agencies. In conclusion, the CTRC prioritizes investigator-led TBI research and broadens the research agenda by integrating researchers from different disciplines in the field of TBI research to optimize delivery of care and improve the health of Canadians with TBI. Our goals are being accomplished across the whole continuum of care by conducting clinically relevant and practice-changing research.

Celebrating a Quarter-Century of Public Domain Research: 25th Annual Conference of the Health Care Systems Research Network

The 25th annual conference of the Health Care Systems Research Network (HCSRN) was held April 10-12 in Portland, Oregon, attracting 420 attendees. The HCSRN, a consortium of 18 community-based research organizations embedded in or affiliated with large health care delivery systems, has hosted annual research conferences since 1994. The primary objective of the conference is to convene researchers, project staff, funders, and other stakeholders to share latest scientific findings and cultivate new partnerships among research teams, patients, and clinicians. Collaboration is the cornerstone of the HCSRN's success; the conference serves as a catalyst for a variety of collaborative ventures as well as tactics and approaches to more effective and efficient research. This year's program included 70 distinct scientific presentations, plus nearly 100 posters, and spanned diverse content offerings that mirrored the diversity of the HCSRN and its collaborators. Plenary sessions imparted insights on ways that data science and approaches to collaborative design in health care can speed the translation of research into practice.

It takes a community: a landscape analysis of global health research consortia

BACKGROUND

The increased recognition of the core role of effective primary healthcare has identified large gaps in the knowledge of components of high-quality primary healthcare systems and the need for resources positioned to better understand them. Research consortia are an effective approach to generate evidence needed to address knowledge and evidence gaps and accelerate change. However, the optimal design of consortia and guidance on design decisions is not well studied. We report on a landscape analysis to understand global health research consortium models and major design decisions that inform model choice.

METHODS

We conducted a landscape analysis to identify health-related research consortia typologies and explore decision processes leading to their design and implementation. We identified and reviewed 195 research consortia, extracted data on organisation, characteristics and operations for 115 and conducted 14 key informant interviews representing 13 consortia. We analysed interviews using thematic content analysis using results to develop categories of major design choices and research consortia models, structures and processes.

RESULTS

Across a wide range of research consortia, the structure and function were determined by nine key design decisions that were mapped to three domains: scope: including mission and area of focus; organisational structure: including role and location of the core entity, choice of leader, governance and membership eligibility and responsibility; and funding decisions: including the funding source for research consortia operations and the funding sources and process for consortium research.

DISCUSSION

Research consortia showed important heterogeneity across the nine decision points studied and based on their goals, needs and resources. These decisions and the three emerging domains (scope, organisation and funding) offer a potential framework for new research consortia and inform the design of a proposed primary health care research consortium intended to accelerate research to improve primary health care in LMICs.

Heart Failure Site-Based Research in the United States: Results of the Heart Failure Society of America Research Network Survey

OBJECTIVES

This study sought to determine clinician and scientist involvement in heart failure (HF) clinical research and to describe the challenges of conducting clinical trials in the United States.

BACKGROUND

Improvements in the current capability, potential, and deficiencies of the HF clinical research infrastructure in the United States are needed in order to enhance efficiency and impact.

METHODS

The Heart Failure Society of America (HFSA) distributed an electronic survey regarding HF clinical trial activity for the purpose of understanding the barriers that exist to conducting high-quality HF clinical research.

RESULTS

Overall, 1,794 HFSA members were queried, and 434 members (24%) completed surveys, whereas a total of 7,589 individuals with interest in HF were queried, and 615 completed surveys. Of the respondents, 410 (67%) were actively engaged in HF research and 120 (20%) were interested in research. Most respondents, 270, were physicians (44%); 311 of the total (76% of the total and 80% of physicians) practiced in academic institutions; 333 respondents (81%) had served as principal investigators and 73 (18%) as site coordinators. Respondents active in clinical research usually participated in 1 to 5 trials and enrolled 1 to 20 patients annually. Institutional review board (IRB) approval typically required 3 months, and contract completion required 3 to 6 months per site. The greatest barriers to research were insufficient site budgets, delay in contracting, inability to find participants meeting trial entry criteria, and unavailability of qualified study coordinators.

CONCLUSIONS

Many U.S. clinical research sites are constrained by budgetary, staffing, and contractual issues. The HFSA Research Network seeks to unify interested sites and deconstruct barriers to permit high-value HF research.

[Coordinated distributed experiments 2.0 (CDE 2.0): A novelty methodology of ecological field investigation]

The global field experiment network is rapidly growing in ecological research in recent years. Some specific methods have emerged, such as the Coordinated Distributed Experiments (CDE), Distributed Collaborative Experiments (DCE), and field observational network of British Biological Records Centre (BRC). However, problems including too small scale, short duration and biased data are criticized in these methods. Construction of the protocol of field experiment network should follow several principles: controlled experiment prior to observation, quantity prior to quality of data, and scale prior to operation. Here, I advocated the application of citizen science to the obtaining of the data in large field, at multi-scale, and with a long duration. Environmental factors could be considered as covariant to test the dataset provided by citizen participants. Furthermore, the same dataset, as posterior probability, could be compared with the priori data set provided by ecologists to test the validity of data. This methodology, with the corresponding statistical model, would overcome the shortcoming of qualitative bias of data in citizen science. The application of priori probability, logistical relation between priori and posteriori probability, and possibility of discovering new causality of evolutionary process in ecological experimental data were discussed. Compared with CDE, CED, and BRC, this method improved the match between statistical norm and sampling quantity in large spatial and temporal scales. This new method would help discover the general theory of ecology researches and it could be termed "Coordinated Distributed Experiments 2.0" (CDE 2.0).

Knowledge Management for Fostering Biostatistical Collaboration within a Research Network: The RTRN Case Study

Purpose: While the intellectual and scientific rationale for research collaboration has been articulated, a paucity of information is available on a strategic approach to facilitate the collaboration within a research network designed to reduce health disparities. This study aimed to (1) develop a conceptual model to facilitate collaboration among biostatisticians in a research network; (2) describe collaborative engagement performed by the Network’s Data Coordinating Center (DCC); and (3) discuss potential challenges and opportunities in engaging the collaboration. Methods: Key components of the strategic approach will be developed through a systematic literature review. The Network’s initiatives for the biostatistical collaboration will be described in the areas of infrastructure, expertise and knowledge management and experiential lessons will be discussed. Results: Components of the strategic approach model included three Ps (people, processes and programs) which were integrated into expert management, infrastructure management and knowledge management, respectively. Ongoing initiatives for collaboration with non-DCC biostatisticians included both web-based and face-to-face interaction approaches: Network’s biostatistical capacities and needs assessment, webinar statistical seminars, mobile statistical workshop and clinics, adjunct appointment program, one-on-one consulting, and on-site workshop. The outreach program, as a face-to-face interaction approach, especially resulted in a useful tool for expertise management and needs assessment as well as knowledge exchange. Conclusions: Although fostering a partnered research culture, sustaining senior management commitment and ongoing monitoring are a challenge for this collaborative engagement, the proposed strategies centrally performed by the DCC may be useful in accelerating the pace and enhancing the quality of the scientific outcomes within a multidisciplinary clinical and translational research network.

Development of the Critical Care Pharmacotherapy Trials Network

PURPOSE

The development of the Critical Care Pharmacotherapy Trials Network (CCPTN) as a model for practice-based pharmacotherapy research is described.

SUMMARY

The CCPTN was formed in 2010 as a collaborative research network dedicated to scientific investigation in the field of critical care pharmacotherapy. The CCPTN organizational structure is consistent with many professional pharmacy and interdisciplinary organizations and organized into 3 primary domains: executive committee, working committees, and network membership. The network membership consists of critical care investigators dedicated to the mission and vision of the CCPTN and is open to anyone expressing an interest in contributing to high-level research. Network member sites represent the breadth of U.S. critical care practice environments. In addition, network members include individuals with demonstrated expertise in patient safety, administration, research design, grantsmanship, database management, peer review, and scientific writing. In 2015, there were more than 100 site investigators from around the United States and Canada. Projects to date have yielded numerous abstracts, platform presentations, and peer-reviewed publications in high-impact journals. The CCPTN has expanded to form collaborations with researchers in the United Kingdom, Australia, and New Zealand. The CCPTN has identified new potential partnerships and field-based areas for inquiry. Numerous opportunities for continued growth and scientific inquiry in the field of critical care pharmacotherapy research exist for the CCPTN to foster in the coming years.

CONCLUSION

The CCPTN has been a successful model for practice-based pharmacotherapy research and assists its members in expanding critical care pharmacotherapy knowledge.

[EMANet: A regional network for health services research in emergency and acute medicine]

The number of patients seeking help in emergency departments is steadily increasing. In part, this is due to patients who have acute symptoms, but do not require emergency care, as well as multimorbid patients needing complex medical care. Emergency departments serve as an interface between primary care and in-patient as well as out-patient care. The ongoing public discussion about the need to readjust emergency care structures in Germany does not adequately address this aspect. The knowledge of characteristics and needs of patients seeking help in emergency departments is insufficient. In order to develop interventions matching these needs it is necessary to gain deeper insight into these characteristics and needs. EMANet is a health services research project funded by the Federal Ministry of Education and Research. Its aim is to collect representative data on the course of medical care of emergency patients with ambulatory care sensitive conditions in all eight emergency departments in Mitte, the inner city district of Berlin. The EMANet project focuses on three patient groups: a) patients with cardiac symptoms and possible psychiatric comorbidities, b) ambulatory patients with acute or chronic diseases of the respiratory tract, and c) geriatric patients with hip fractures. The collected data shall be used to gain a better understanding of health care utilization patterns, patient-perceived satisfaction and risk factors for potentially avoidable medical conditions or worsening of chronic disease. The mixed methods design of EMANet includes quantitative data of 1,650 patients at two time points and corresponding secondary (i. e. routine) data from hospital information systems. In addition, qualitative interviews with patients and health care professionals shall reveal unmet needs for medical care. The results will give us more in-depth insight into the perceived current capacity overload and help implement structural changes in the health care system.

The Pan-Asian Resuscitation Outcomes Study (PAROS) clinical research network: what, where, why and how

Out-of-hospital cardiac arrest (OHCA) is a global health concern with an incidence rate of 50-60 per 100,000 person-years. To improve OHCA survival rates, several cardiac arrest registries have been set up in North America and Europe, such as the Resuscitation Outcomes Consortium, Cardiac Arrest Registry to Enhance Survival, Ontario Prehospital Advanced Life Support and European Registry of Cardiac Arrest. In Asia, however, there was previously no concerted effort in prehospital emergency care research owing to differences in prehospital emergency medical services systems, data collection methods and outcome reporting between countries. Recognising the need for a collaborative prehospital emergency care research group in Asia, researchers from seven countries in the Asia-Pacific region (including Japan, South Korea, Taiwan, Thailand, United Arab Emirates-Dubai, Singapore and Malaysia) established the Pan-Asian Resuscitation Outcomes Study (PAROS) clinical research network in 2010. This paper gives the overview, methodology and research accomplishments of the PAROS network.

EMERGEncy ID NET: Review of a 20-Year Multisite Emergency Department Emerging Infections Research Network

As providers of frontline clinical care for patients with acute and potentially life-threatening infections, emergency departments (EDs) have the priorities of saving lives and providing care quickly and efficiently. Although these facilities see a diversity of patients 24 hours per day and can collect prospective data in real time, their ability to conduct timely research on infectious syndromes is not well recognized. EMERGEncy ID NET is a national network that demonstrates that EDs can also collect data and conduct research in real time. This network collaborates with the Centers for Disease Control and Prevention (CDC) and other partners to study and address a wide range of infectious diseases and clinical syndromes. In this paper, we review selected highlights of EMERGEncy ID NET's history from 1995 to 2017. We focus on the establishment of this multisite research network and the network's collaborative research on a wide range of ED clinical topics.

The healthy weight research network: a research agenda to promote healthy weight among youth with autism spectrum disorder and other developmental disabilities

The Healthy Weight Research Network (HWRN) for children with autism and developmental disabilities is an interdisciplinary network with national representation. This paper discusses the modified Delphi procedure that was used to develop the HWRN's research agenda to address the problem of obesity in children with autism and developmental disabilities. The five research areas identified for priority included: (i) family practices around food/mealtimes; (ii) physical activity and sedentary behaviours in relation to weight; (iii) relationship between food patterns, behaviour and weight gain; (iv) programme-adaption and delivery; and (v) influence of school and community-based organizations on food intake and physical activity. The goals and agenda of the HWRN hold promise for making progress toward the prevention and successful treatment of obesity in this population.

Optimizing Clinical Decision Support in the Electronic Health Record. Clinical Characteristics Associated with the Use of a Decision Tool for Disposition of ED Patients with Pulmonary Embolism

OBJECTIVE

Adoption of clinical decision support (CDS) tools by clinicians is often limited by workflow barriers. We sought to assess characteristics associated with clinician use of an electronic health record-embedded clinical decision support system (CDSS).

METHODS

In a prospective study on emergency department (ED) activation of a CDSS tool across 14 hospitals between 9/1/14 to 4/30/15, the CDSS was deployed at 10 active sites with an on-site champion, education sessions, iterative feedback, and up to 3 gift cards/clinician as an incentive. The tool was also deployed at 4 passive sites that received only an introductory educational session. Activation of the CDSS - which calculated the Pulmonary Embolism Severity Index (PESI) score and provided guidance - and associated clinical data were collected prospectively. We used multivariable logistic regression with random effects at provider/facility levels to assess the association between activation of the CDSS tool and characteristics at: 1) patient level (PESI score), 2) provider level (demographics and clinical load at time of activation opportunity), and 3) facility level (active vs. passive site, facility ED volume, and ED acuity at time of activation opportunity).

RESULTS

Out of 662 eligible patient encounters, the CDSS was activated in 55%: active sites: 68% (346/512); passive sites 13% (20/150). In bivariate analysis, active sites had an increase in activation rates based on the number of prior gift cards the physician had received (96% if 3 prior cards versus 60% if 0, p<0.0001). At passive sites, physicians < age 40 had higher rates of activation (p=0.03). In multivariable analysis, active site status, low ED volume at the time of diagnosis and PESI scores I or II (compared to III or higher) were associated with higher likelihood of CDSS activation.

CONCLUSIONS

Performing on-site tool promotion significantly increased odds of CDSS activation. Optimizing CDSS adoption requires active education.

50 Years of renal physiology from one man and the perfused tubule: Maurice B. Burg

Technical advancements in research techniques in science are made in slow increments. Even so, large advances from insight and hard work of an individual with a single technique can have astonishing ramifications. Here, we examine the impact of Dr. Maurice B. Burg and the isolated perfused renal tubule technique and celebrate the 50th anniversary of the publication by Dr. Burg and his colleagues of their landmark paper in the American Journal of Physiology in 1966. In this study, we have taken a scientific visualization approach to study the scientific contributions of Dr. Burg and the isolated perfused tubule preparation as determining research impact by the number of research students, postdoctoral fellows, visiting scientists, and national and international collaborators. Additionally, we have examined the research collaborations (first and second generation scientists), established the migrational visualization of the first generation scientists who worked directly with Dr. Burg, quantified the metrics indices, identified and quantified the network of coauthorship of the first generation scientists with their second generation links, and determined the citations analyses of outputs of Dr. Burg and/or his first generation collaborators as coauthors. We also review the major advances in kidney physiology that have been made with the isolated perfused tubule technique. Finally, we are all waiting for the discoveries that the isolated perfused preparation technique will bring during the next 50 years.

User-Friendly Data-Sharing Practices for Fostering Collaboration within a Research Network: Roles of a Vanguard Center for a Community-Based Study

Although various attempts have been made to build collaborative cultures for data sharing, their effectiveness is still questionable. The Jackson Heart Study (JHS) Vanguard Center (JHSVC) at the NIH-funded Research Centers in Minority Institutions (RCMI) Translational Research Network (RTRN) Data Coordinating Center (DCC) may be a new concept in that the data are being shared with a research network where a plethora of scientists/researchers are working together to achieve their common goal. This study describes the current practices to share the JHS data through the mechanism of JHSVC. The JHS is the largest single-site cohort study to prospectively investigate the determinants of cardiovascular disease among African-Americans. It has adopted a formal screened access method through a formalized JHSVC mechanism, in which only a qualified scientist(s) can access the data. The role of the DCC was to help RTRN researchers explore hypothesis-driven ideas to enhance the output and impact of JHS data through customized services, such as feasibility tests, data querying, manuscript proposal development and data analyses for publication. DCC has implemented these various programs to facilitate data utility. A total of 300 investigators attended workshops and/or received training booklets. DCC provided two online and five onsite workshops and developed/distributed more than 250 copies of the booklet to help potential data users understand the structure of and access to the data. Information on data use was also provided through the RTRN website. The DCC efforts led to the production of five active manuscript proposals, seven completed publications, 11 presentations and four NIH grant proposals. These outcomes resulted from activities during the first four years; over the last couple of years, there were few new requests. Our study suggested that DCC-customized services enhanced the accessibility of JHS data and their utility by RTRN researchers and helped to achieve the principal goal of JHSVC of scientific productivity. In order to achieve long-term success, the following, but not limited to these, should be addressed in the current data sharing practices: preparation of new promotional strategies in response to changes in technology and users’ needs, collaboration with the Network statisticians, harmonization of the JHS data with the other local-based heart datasets to meet the needs of the potential users from the broader geographical areas, adoption of the RTRN comprehensive data-sharing policy to broaden the variety of research topics and implementation of an ongoing monitoring program to evaluate its success.

Global Invader Impact Network (GIIN): toward standardized evaluation of the ecological impacts of invasive plants

Terrestrial invasive plants are a global problem and are becoming ubiquitous components of most ecosystems. They are implicated in altering disturbance regimes, reducing biodiversity, and changing ecosystem function, sometimes in profound and irreversible ways. However, the ecological impacts of most invasive plants have not been studied experimentally, and most research to date focuses on few types of impacts, which can vary greatly among studies. Thus, our knowledge of existing ecological impacts ascribed to invasive plants is surprisingly limited in both breadth and depth. Our aim was to propose a standard methodology for quantifying baseline ecological impact that, in theory, is scalable to any terrestrial plant invader (e.g., annual grasses to trees) and any invaded system (e.g., grassland to forest). The Global Invader Impact Network (GIIN) is a coordinated distributed experiment composed of an observational and manipulative methodology. The protocol consists of a series of plots located in (1) an invaded area; (2) an adjacent removal treatment within the invaded area; and (3) a spatially separate uninvaded area thought to be similar to pre-invasion conditions of the invaded area. A standardized and inexpensive suite of community, soil, and ecosystem metrics are collected allowing broad comparisons among measurements, populations, and species. The method allows for one-time comparisons and for long-term monitoring enabling one to derive information about change due to invasion over time. Invader removal plots will also allow for quantification of legacy effects and their return rates, which will be monitored for several years. GIIN uses a nested hierarchical scale approach encompassing multiple sites, regions, and continents. Currently, GIIN has network members in six countries, with new members encouraged. To date, study species include representatives of annual and perennial grasses; annual and perennial forbs; shrubs; and trees. The goal of the GIIN framework is to create a standard yet flexible platform for understanding the ecological impacts of invasive plants, allowing both individual and synthetic analyses across a range of taxa and ecosystems. If broadly adopted, this standard approach will offer unique insight into the ecological impacts of invasive plants at local, regional, and global scales.

Cohort profile: Norwegian Epidemiologic Osteoporosis Studies (NOREPOS)

AIMS

This paper describes the history, purpose, data collection and contributions in the research collaboration Norwegian Osteoporosis Epidemiologic Studies (NOREPOS).

METHODS

NOREPOS encompasses almost 85,000 bone mineral density measurements within Cohort of Norway and data on almost 140,000 hip fractures in Norway 1994-2008. Included are anthropometric measurements, blood pressure, lipids and glucose, and 50 standard questions on sociodemographic factors, diseases and risk factors. Blood samples/DNA are stored. The main research question posed in NOREPOS is why hip fracture rates in Norway are the highest in the world. Data on hip fractures 2009-2013 will be added in 2014.

RESULTS

Main findings include: Every hour a Norwegian suffers a hip fracture; hip fracture incidence rates declined after 1999; only 16% of patients used anti-osteoporosis drugs 1 year after hip fracture; 25% of patients died within 1 year after the fracture; 12% suffered a new hip fracture within 10 years; rural dwellers had lower hip and forearm fracture incidence than city dwellers; magnesium in tap water may be protective whereas bacterial contamination, cadmium and lead may be harmful to bone health; low serum vitamin D and E levels were associated with higher hip fracture risk; vitamin A was not associated with fracture risk; and abdominal obesity increased the risk of hip fracture when BMI was accounted for.

CONCLUSIONS

NOREPOS encompasses a unique source of information for aetiological research, genetic studies as well as for biomarkers of osteoporosis and fractures. Because of the increasing number of elderly people in Europe, hip fractures will continue to pose an international public health and health care challenge.

Changing the research landscape: the New York City Clinical Data Research Network

The New York City Clinical Data Research Network (NYC-CDRN), funded by the Patient-Centered Outcomes Research Institute (PCORI), brings together 22 organizations including seven independent health systems to enable patient-centered clinical research, support a national network, and facilitate learning healthcare systems. The NYC-CDRN includes a robust, collaborative governance and organizational infrastructure, which takes advantage of its participants' experience, expertise, and history of collaboration. The technical design will employ an information model to document and manage the collection and transformation of clinical data, local institutional staging areas to transform and validate data, a centralized data processing facility to aggregate and share data, and use of common standards and tools. We strive to ensure that our project is patient-centered; nurtures collaboration among all stakeholders; develops scalable solutions facilitating growth and connections; chooses simple, elegant solutions wherever possible; and explores ways to streamline the administrative and regulatory approval process across sites.

40 years of biannual family medicine research meetings--the European General Practice Research Network (EGPRN)

OBJECTIVE

To document family medicine research in the 25 EGPRN member countries in 2010.

DESIGN

Semi-structured survey with open-ended questions.

SETTING

Academic family medicine in 23 European countries, Israel, and Turkey.

SUBJECTS

25 EGPRN national representatives.

MAIN OUTCOME MEASURES

Demographics of the general population and family medicine. Assessments, opinions, and suggestions.

RESULTS

EGPRN has represented family medicine for almost half a billion people and > 300,000 general practitioners (GPs). Turkey had the largest number of family medicine departments and highest density of GPs, 2.1/1000 people, Belgium had 1.7, Austria 1.6, and France 1.5. Lowest GP density was reported from Israel 0.17, Greece 0.18, and Slovenia 0.4 GPs per 1000 people. Family medicine research networks were reported by 22 of 25 and undergraduate family medicine research education in 20 of the 25 member countries, and in 10 countries students were required to do research projects. Postgraduate family medicine research was reported by 18 of the member countries. Open-ended responses showed that EGPRN meetings promoted stimulating and interesting research questions such as comparative studies of chronic pain management, sleep disorders, elderly care, healthy lifestyle promotion, mental health, clinical competence, and appropriateness of specialist referrals. Many respondents reported a lack of interest in family medicine research related to poor incentives and low family medicine status in general and among medical students in particular. It was suggested that EGPRN exert political lobbying for family medicine research.

CONCLUSION

Since 1974, EGPRN organizes biannual conferences that unite and promote primary care practice, clinical research and academic family medicine in 25 member countries.

EurOOHnet-the European research network for out-of-hours primary health care

BACKGROUND AND RATIONALE

European countries face similar challenges in the provision of health care. Demographic factors like ageing, population growth, changing patient behaviour, and lack of work force lead to increasing demands, costs, and overcrowding of out-of-hours (OOH) care (i.e. primary care services, emergency departments (EDs), and ambulance services). These developments strain services and imply safety risks. In the last few decades, countries have been re-organizing their OOH primary health care services. AIM AND SCOPE OF THE NETWORK: We established a European research network for out-of-hours primary health care (EurOOHnet), which aims to transfer knowledge, share experiences, and conduct research. Combining research competencies and integrating results can generate a profound information flow to European researchers and decision makers in health policy, contributing towards feasible and high-quality OOH care. It also contributes to a more comparable performance level within European regions. CONDUCTED RESEARCH PROJECTS: The European research network aims to conduct mutual research projects. At present, three projects have been accomplished, among others concerning the diagnostic scope in OOH primary care services and guideline adherence for diagnosis and treatment of cystitis in OOH primary care.

THE FUTURE

Future areas of research will be organizational models for OOH care; appropriate use of the OOH services; quality of telephone triage; quality of medical care; patient safety issues; use of auxiliary personnel; collaboration with EDs and ambulance care; and the role of GPs in OOH care.

Establishing a multicentre clinical research network: lessons learned

BACKGROUND

Within many health care disciplines, research networks have emerged to connect researchers who are physically separated, to facilitate sharing of expertise and resources, and to exchange valuable skills. A multicentre research network committed to studying difficult cancer pain problems was launched in 2004 as part of a Canadian initiative to increase palliative and end-of-life care research capacity. Funding was received for 5 years to support network activities.

METHODS

Mid-way through the 5-year granting period, an external review panel provided a formal mid-grant evaluation. Concurrently, an internal evaluation of the network by survey of its members was conducted. Based on feedback from both evaluations and on a review of the literature, we identified several components believed to be relevant to the development of a successful clinical cancer research network.

RESULTS

THESE COMMON ELEMENTS OF SUCCESSFUL CLINICAL CANCER RESEARCH NETWORKS WERE IDENTIFIED: shared vision, formal governance policies and terms of reference, infrastructure support, regular and effective communication, an accountability framework, a succession planning strategy to address membership change over time, multiple strategies to engage network members, regular review of goals and timelines, and a balance between structure and creativity.

CONCLUSIONS

In establishing and conducting a multi-year, multicentre clinical cancer research network, network members were led to reflect on the factors that contributed most to the achievement of network goals. Several specific factors were identified that seemed to be highly relevant in promoting success. These observations are presented to foster further discussion on the successful design and operation of research networks.

Importance of capacity assessment for an early staged-research network designed to eliminate health disparity: lessons from RTRN

BACKGROUND

RCMI Translational Research Network (RTRN) is the first academic-based national network to address the problem of health disparities by integrating minority medical schools in a collaborative effort. While there was a great interest in forming the research network, limited systematic effort has been made in understanding members' existing capacity and future demand.

OBJECTIVE

The aim of this study was to report the results of the RTRN Statistical Capacity Assessment and discuss the importance of an initial capacity assessment in building the biostatistical capacity of a research network in its early stage.

METHODS

The assessment was based on survey responses submitted by program directors/managers from 12 of the 18 RTRN institutions. In this assessment the capacity is defined as the statistical tools and human resources which are required for effective and efficient performance.

RESULTS

A total of 52 biostatisticians (mean of 4.5 per site) were working for 12 RTRN institutions; 84% were fulltime employees, and 53% held a doctoral degree. On average, they had about 13 years of job experience. SAS, SPSS and STATA were the most frequently used and were selected as their major statistical software. A wide inter-institutional variability was found in number of biostatisticians (ranged from 1 to 8), mean years of experience in their position (4.5-20 years) and in major software (5-20), and the number of statistical software in use (1-11).

CONCLUSION

The initial capacity assessment provided valuable information on members' background and the network's research capacity which will be used as the basic data in developing programs to build research capacity. Therefore, it is important to include the initial capacity survey and on-going evaluation of network activities when making business plans of research networks intended to reduce health disparities.