Matthew Harker

A prescription for clinical immunology: the pills are available and ready for testing. A review

Abstract Objective: Modern immunology has been extremely successful in elucidating many features of the immune system, but not in stemming pandemics of non-infectious, immune-related disease associated with industrialized populations. These pandemics involve a broad range of allergic, autoimmune, and inflammatory diseases, potentially including neuroinflammatory-associated disorders. It is the purpose of this review to outline the literature pointing toward the causes and potential treatments of these problems. Conclusions: A wide range of evidence from the fields of clinical medicine, biomedical research, evolutionary biology, anthropology, epidemiology, immunology, and ecology point to the conclusion that pandemics of non-infectious, immune-related conditions arise from consequences of industrialization. Primary among these consequences is the loss of helminths from the ecosystem of the human body, the ‘human biome’. In this view, helminths comprise a ‘keystone species’ of the human biome, and their loss is profoundly felt as pandemics of non-infectious, immune-related disease. Fortunately, evidence indicates that the consequences of industrialization that cause immune disease, such as helminth depletion, can be effectively avoided. Using this approach, it is expected that further pandemics of immune disease may be prevented, although it remains to be established whether prophylaxis rather than treatment of disease is required for some disorders. Thus, it is predicted that those who will succeed in curing and preventing immune-related disease will focus on addressing ‘evolutionary mismatches’ rather than simply on the molecular and genetic underpinnings of immunological disorders.

Establishing a Regional, Multisite Database for Quality Improvement and Service Planning in Community-Based Palliative Care and Hospice

BACKGROUND Outpatient palliative care, an evolving delivery model, seeks to improve continuity of care across settings and to increase access to services in hospice and palliative medicine (HPM). It can provide a critical bridge between inpatient palliative care and hospice, filling the gap in community-based supportive care for patients with advanced life-limiting illness. Low capacities for data collection and quantitative research in HPM have impeded assessment of the impact of outpatient palliative care. APPROACH In North Carolina, a regional database for community-based palliative care has been created through a unique partnership between a HPM organization and academic medical center. This database flexibly uses information technology to collect patient data, entered at the point of care (e.g., home, inpatient hospice, assisted living facility, nursing home). HPM physicians and nurse practitioners collect data; data are transferred to an academic site that assists with analyses and data management. Reports to community-based sites, based on data they provide, create a better understanding of local care quality. CURRENT STATUS The data system was developed and implemented over a 2-year period, starting with one community-based HPM site and expanding to four. Data collection methods were collaboratively created and refined. The database continues to grow. Analyses presented herein examine data from one site and encompass 2572 visits from 970 new patients, characterizing the population, symptom profiles, and change in symptoms after intervention. CONCLUSION A collaborative regional approach to HPM data can support evaluation and improvement of palliative care quality at the local, aggregated, and statewide levels.

Patient Engagement Practices in Clinical Research among Patient Groups, Industry, and Academia in the United States: A Survey

Objective Patient-centered clinical trial design and execution is becoming increasingly important. No best practice guidelines exist despite a key stakeholder declaration to create more effective engagement models. This study aims to gain a better understanding of attitudes and practices for engaging patient groups so that actionable recommendations may be developed. Methods Individuals from industry, academic institutions, and patient groups were identified through Clinical Trials Transformation Initiative and Drug Information Association rosters and mailing lists. Objectives, practices, and perceived barriers related to engaging patient groups in the planning, conduct, and interpretation of clinical trials were reported in an online survey. Descriptive and inferential statistical analysis of survey data followed a literature review to inform survey questions. Results Survey respondents (n = 179) valued the importance of involving patient groups in research; however, patient group respondents valued their contributions to research protocol development, funding acquisition, and interpretation of study results more highly than those contributions were valued by industry and academic respondents (all p < .001). Patient group respondents placed higher value in open communications, clear expectations, and detailed contract execution than did non–patient group respondents (all p < .05). Industry and academic respondents more often cited internal bureaucratic processes and reluctance to share information as engagement barriers than did patient group respondents (all p < .01). Patient groups reported that a lack of transparency and understanding of the benefits of collaboration on the part of industry and academia were greater barriers than did non–patient group respondents (all p< .01). Conclusions Despite reported similarities among approaches to engagement by the three stakeholder groups, key differences exist in perceived barriers and benefits to partnering with patient groups among the sectors studied. This recognition could inform the development of best practices for patient-centered clinical trial design and execution. Additional research is needed to define and optimize key success factors.

DADOS-Survey: an open-source application for CHERRIES-compliant Web surveys

BackgroundThe Internet has been increasingly utilized in biomedical research. From online searching for literature to data sharing, the Internet has emerged as a primary means of research for many physicians and scientists. As a result, Web-based surveys have been employed as an alternative to traditional, paper-based surveys. We describe DADOS-Survey, an open-source Web-survey application developed at our institution that, to the best of our knowledge, is the first to be compliant with the Checklist for Reporting Results of Internet E-Surveys (CHERRIES). DADOS-Survey was designed with usability as a priority, allowing investigators to design and execute their own studies with minimal technical difficulties in doing so.ResultsTo date, DADOS-Survey has been successfully implemented in five Institutional Review Board-approved studies conducted by various departments within our academic center. Each of these studies employed a Web-survey design as their primary methodology. Our initial experience indicates that DADOS-Survey has been used with relative ease by each of the investigators and survey recipients. This has been further demonstrated through formal and field usability testing, during which time suggestions for improvement were incorporated into the software design.ConclusionDADOS-Survey has the potential to have an important role in the future direction of Web-survey administration in biomedical research. This CHERRIES-compliant application is tailored to the emerging requirements of quality data collection in medicine.

DADOS-Prospective: an open source application for Web-based prospective data collection

BackgroundRandomized, prospective trials involving multi-institutional collaboration have become a central part of clinical and translational research. However, data management and coordination of multi-center studies is a complex process that involves developing systems for data collection and quality control, tracking data queries and resolutions, as well as developing communication procedures. We describe DADOS-Prospective, an open-source Web-based application for collecting and managing prospective data on human subjects for clinical and translational trials. DADOS-Prospective not only permits users to create new clinical research forms (CRF) and supports electronic signatures, but also offers the advantage of containing, in a single environment, raw research data in downloadable spreadsheet format, source documentation and regulatory files stored in PDF format, and audit trails.ResultsFeedback from formal and field usability tests was used to guide the design and development of DADOS-Prospective. To date, DADOS-Prospective has been implemented in five prospective clinical studies at our institution. Four of these studies are still in the CRF creation phase and one study has been entirely launched.ConclusionDADOS-Prospective has significant advantages over existing Web-based data collecting programs. At our institution, it has been demonstrated to be an efficient tool for prospective clinical studies.

The Rules of Engagement: CTTI Recommendations for Successful Collaborations Between Sponsors and Patient Groups Around Clinical Trials.

Objective: To identify the elements necessary for successful collaboration between patient groups and academic and industry sponsors of clinical trials, in order to develop recommendations for best practices for effective patient group engagement. Methods: In-depth interviews, informed by a previously reported survey, were conducted to identify the fundamentals of successful patient group engagement. Thirty-two respondents from 3 sectors participated: patient groups, academic researchers, and industry. The findings were presented to a multistakeholder group of experts in January 2015. The expert group came to consensus on a set of actionable recommendations for best practices for patient groups and research sponsors. Results: Interview respondents acknowledged that not all patient groups are created equal in terms of what they can contribute to a clinical trial. The most important elements for effective patient group engagement include establishing meaningful partnerships, demonstrating mutual benefits, and collaborating as partners from the planning stage forward. Although there is a growing appreciation by sponsors about the benefits of patient group engagement, there remains some resistance and some uncertainty about how best to engage. Barriers include mismatched expectations and a perception that patient groups lack scientific sophistication and that “wishful thinking” may cloud their recommendations. Conclusions: Patient groups are developing diverse skillsets and acquiring assets to leverage in order to become collaborators with industry and academia on clinical trials. Growing numbers of research sponsors across the clinical trials enterprise are recognizing the benefits of continuous and meaningful patient group engagement, but there are still mindsets to change, and stakeholders need further guidance on operationalizing a new model of clinical trial conduct.

Real-Time Updates of Meta-Analyses of HIV Treatments Supported by a Biomedical Ontology

Meta-analyses involve a systematic statistical explanation of available evidence and are a commonly used systematic reviewing strategy for addressing health related scientific research. Publication biases often delay reporting of meta-analyses and subsequent policy making. Ontologies have the capacity to provide real time meta-analyses that can reduce publication delay. The purpose of this study was to describe the meta-analytic process of a recently revised ontology. Three recently published meta-analyses were replicated using an ontology that extracts appropriate statistical “tags” from the originally reviewed published manuscripts. The ontology was able to closely represent the findings of the original meta-analysis including funnel, forest, and summary statistics. The use of an ontology could improve the speed in which meta-analytic publications occur as well as potentially standardizing the required elements within a randomized controlled trial. The findings in this study demonstrate similar ontological output as used in the Trial Bank Project with decreased time requirements of the manuscript author and the software programmers. The use of an ontology may improve the reporting of meta-analysis and, when combined with an open access website, should assist in timely policy-making decisions by healthcare providers.

Policy and regulations in light of the human body as a ‘superorganism’ containing multiple, intertwined symbiotic relationships

Abstract The human body is now understood to exist as an ecosystem that includes an abundance of life, called the human biome. For purposes of understanding and treating disease, the biome of the human ‘superorganism’ can be divided into three parts: human, microbial, and more complex organisms such as worms and protists. This paper examines medical progress with biome restorative practices, including fecal microbiota transplants and helminthic therapy, which have proven in some cases more effective and more economical at treating a wide range of diseases than pharmaceutical-based approaches. The regulatory and policy hurdles responsible in part for this limited use of these restorative practices are examined. More importantly, new approaches are encouraged which might reverse the general lack of interest for these restorative practices seen in the medical and biomedical research communities. Such approaches include the regulation of benign helminths as dietary supplements and the establishment of an Institute of Health focused on biome-related issues. Further, the formation of humanitarian organizations to produce and distribute products for biome restoration should be encouraged by public policy, mirroring the collection and distribution of blood and blood products by the Red Cross and Red Crescent Societies.

Duke Surgery Patient Safety: an open-source application for anonymous reporting of adverse and near-miss surgical events

BackgroundStudies have shown that 4% of hospitalized patients suffer from an adverse event caused by the medical treatment administered. Some institutions have created systems to encourage medical workers to report these adverse events. However, these systems often prove to be inadequate and/or ineffective for reviewing the data collected and improving the outcomes in patient safety.ObjectiveTo describe the Web-application Duke Surgery Patient Safety, designed for the anonymous reporting of adverse and near-miss events as well as scheduled reporting to surgeons and hospital administration.Software architectureDSPS was developed primarily using Java language running on a Tomcat server and with MySQL database as its backend.ResultsFormal and field usability tests were used to aid in development of DSPS. Extensive experience with DSPS at our institution indicate that DSPS is easy to learn and use, has good speed, provides needed functionality, and is well received by both adverse-event reporters and administrators.DiscussionThis is the first description of an open-source application for reporting patient safety, which allows the distribution of the application to other institutions in addition for its ability to adapt to the needs of different departments. DSPS provides a mechanism for anonymous reporting of adverse events and helps to administer Patient Safety initiatives.ConclusionThe modifiable framework of DSPS allows adherence to evolving national data standards. The open-source design of DSPS permits surgical departments with existing reporting mechanisms to integrate them with DSPS. The DSPS application is distributed under the GNU General Public License.

Duke Surgery Research Central: an open-source Web application for the improvement of compliance with research regulation

BackgroundAlthough regulatory compliance in academic research is enforced by law to ensure high quality and safety to participants, its implementation is frequently hindered by cost and logistical barriers. In order to decrease these barriers, we have developed a Web-based application, Duke Surgery Research Central (DSRC), to monitor and streamline the regulatory research process.ResultsThe main objective of DSRC is to streamline regulatory research processes. The application was built using a combination of paper prototyping for system requirements and Java as the primary language for the application, in conjunction with the Model-View-Controller design model. The researcher interface was designed for simplicity so that it could be used by individuals with different computer literacy levels. Analogously, the administrator interface was designed with functionality as its primary goal. DSRC facilitates the exchange of regulatory documents between researchers and research administrators, allowing for tasks to be tracked and documents to be stored in a Web environment accessible from an Intranet. Usability was evaluated using formal usability tests and field observations. Formal usability results demonstrated that DSRC presented good speed, was easy to learn and use, had a functionality that was easily understandable, and a navigation that was intuitive. Additional features implemented upon request by initial users included: extensive variable categorization (in contrast with data capture using free text), searching capabilities to improve how research administrators could search an extensive number of researcher names, warning messages before critical tasks were performed (such as deleting a task), and confirmatory e-mails for critical tasks (such as completing a regulatory task).ConclusionThe current version of DSRC was shown to have excellent overall usability properties in handling research regulatory issues. It is hoped that its release as an open-source application will promote improved and streamlined regulatory processes for individual academic centers as well as larger research networks.