Dissemination,Implementation, and Improvement Science Research in Population Health: Opportunities for Public Health and CTSAs

Importance

The complex, dynamic nature of health systems requires dissemination, implementation, and improvement (DII) sciences to effectively translate emerging knowledge into practice. Although they hold great promise for informing multisector policies and system‐level changes, these methods are often not strategically used by public health.

Objectives and Methods

More than 120 stakeholders from Southern California, including the community, federal and local government, university, and health services were convened to identify key priorities and opportunities for public health departments and Clinical and Translational Science Awards programs (CTSAs) to advance DII sciences in population health.

Main Outcomes

Participants identified challenges (mismatch of practice realities with narrowly focused research questions; lack of iterative learning) and solutions (using methods that fit the dynamic nature of the real world; aligning theories of change across sectors) for applying DII science research to public health problems. Pragmatic steps that public health and CTSAs can take to facilitate DII science research include: employing appropriate study designs; training scientists and practicing professionals in these methods; securing resources to advance this work; and supporting team science to solve complex‐systems issues.

Conclusions

Public health and CTSAs represent a unique model of practice for advancing DII research in population health. The partnership can inform policy and program development in local communities.     

We Built This House; It’s Time to Move in: Leveraging Existing DICOM Structure to More Completely Utilize Readily Available Detailed Contrast Administration Information

The Digital Imaging and Communications in Medicine (DICOM) standard is the universal format for interoperability in medical imaging. In addition to imaging data, DICOM has evolved to support a wide range of imaging metadata including contrast administration data that is readily available from many modern contrast injectors. Contrast agent, route of administration, start and stop time, volume, flow rate, and duration can be recorded using DICOM attributes [1]. While this information is sparsely and inconsistently recorded in routine clinical practice, it could potentially be of significant diagnostic value. This work will describe parameters recorded by automatic contrast injectors, summarize the DICOM mechanisms available for tracking contrast injection data, and discuss the role of such data in clinical radiology.     

Automatic Identification of Web-Based Risk Markers for Health Events

Background

The escalating cost of global health care is driving the development of new technologies to identify early indicators of an individual’s risk of disease. Traditionally, epidemiologists have identified such risk factors using medical databases and lengthy clinical studies but these are often limited in size and cost and can fail to take full account of diseases where there are social stigmas or to identify transient acute risk factors.

Objective

Here we report that Web search engine queries coupled with information on Wikipedia access patterns can be used to infer health events associated with an individual user and automatically generate Web-based risk markers for some of the common medical conditions worldwide, from cardiovascular disease to sexually transmitted infections and mental health conditions, as well as pregnancy.

Methods

Using anonymized datasets, we present methods to first distinguish individuals likely to have experienced specific health events, and classify them into distinct categories. We then use the self-controlled case series method to find the incidence of health events in risk periods directly following a user’s search for a query category, and compare to the incidence during other periods for the same individuals.

Results

Searches for pet stores were risk markers for allergy. We also identified some possible new risk markers; for example: searching for fast food and theme restaurants was associated with a transient increase in risk of myocardial infarction, suggesting this exposure goes beyond a long-term risk factor but may also act as an acute trigger of myocardial infarction. Dating and adult content websites were risk markers for sexually transmitted infections, such as human immunodeficiency virus (HIV).

Conclusions

Web-based methods provide a powerful, low-cost approach to automatically identify risk factors, and support more timely and personalized public health efforts to bring human and economic benefits.     

Data-driven approach for assessing utility of medical tests using electronic medical records

ObjectiveTo precisely define the utility of tests in a clinical pathway through data-driven analysis of the electronic medical record (EMR).Materials and methodsThe information content was defined in terms of the entropy of the expected value of the test related to a given outcome. A kernel density classifier was used to estimate the necessary distributions. To validate the method, we used data from the EMR of the gastrointestinal department at a university hospital. Blood tests from patients undergoing surgery for gastrointestinal surgery were analyzed with respect to second surgery within 30 days of the index surgery.ResultsThe information content is clearly reflected in the patient pathway for certain combinations of tests and outcomes. C-reactive protein tests coupled to anastomosis leakage, a severe complication show a clear pattern of information gain through the patient trajectory, where the greatest gain from the test is 3–4 days post index surgery.DiscussionWe have defined the information content in a data-driven and information theoretic way such that the utility of a test can be precisely defined. The results reflect clinical knowledge. In the case we used the tests carry little negative impact. The general approach can be expanded to cases that carry a substantial negative impact, such as in certain radiological techniques.     

Cadec: A corpus of adverse drug event annotations

CSIRO Adverse Drug Event Corpus (Cadec) is a new rich annotated corpus of medical forum posts on patient-reported Adverse Drug Events (ADEs). The corpus is sourced from posts on social media, and contains text that is largely written in colloquial language and often deviates from formal English grammar and punctuation rules. Annotations contain mentions of concepts such as drugs, adverse effects, symptoms, and diseases linked to their corresponding concepts in controlled vocabularies, i.e., SNOMED Clinical Terms and MedDRA. The quality of the annotations is ensured by annotation guidelines, multi-stage annotations, measuring inter-annotator agreement, and final review of the annotations by a clinical terminologist. This corpus is useful for studies in the area of information extraction, or more generally text mining, from social media to detect possible adverse drug reactions from direct patient reports. The corpus is publicly available at https://data.csiro.au.¹     

Comparing image search behaviour in the ARRS GoldMiner search engine and a clinical PACS/RIS

Information search has changed the way we manage knowledge and the ubiquity of information access has made search a frequent activity, whether via Internet search engines or increasingly via mobile devices. Medical information search is in this respect no different and much research has been devoted to analyzing the way in which physicians aim to access information. Medical image search is a much smaller domain but has gained much attention as it has different characteristics than search for text documents. While web search log files have been analysed many times to better understand user behaviour, the log files of hospital internal systems for search in a PACS/RIS (Picture Archival and Communication System, Radiology Information System) have rarely been analysed. Such a comparison between a hospital PACS/RIS search and a web system for searching images of the biomedical literature is the goal of this paper. Objectives are to identify similarities and differences in search behaviour of the two systems, which could then be used to optimize existing systems and build new search engines.Log files of the ARRS GoldMiner medical image search engine (freely accessible on the Internet) containing 222,005 queries, and log files of Stanford’s internal PACS/RIS search called radTF containing 18,068 queries were analysed. Each query was preprocessed and all query terms were mapped to the RadLex (Radiology Lexicon) terminology, a comprehensive lexicon of radiology terms created and maintained by the Radiological Society of North America, so the semantic content in the queries and the links between terms could be analysed, and synonyms for the same concept could be detected. RadLex was mainly created for the use in radiology reports, to aid structured reporting and the preparation of educational material (Lanlotz, 2006) [1]. In standard medical vocabularies such as MeSH (Medical Subject Headings) and UMLS (Unified Medical Language System) specific terms of radiology are often underrepresented, therefore RadLex was considered to be the best option for this task.The results show a surprising similarity between the usage behaviour in the two systems, but several subtle differences can also be noted. The average number of terms per query is 2.21 for GoldMiner and 2.07 for radTF, the used axes of RadLex (anatomy, pathology, findings, …) have almost the same distribution with clinical findings being the most frequent and the anatomical entity the second; also, combinations of RadLex axes are extremely similar between the two systems. Differences include a longer length of the sessions in radTF than in GoldMiner (3.4 and 1.9 queries per session on average). Several frequent search terms overlap but some strong differences exist in the details. In radTF the term “normal” is frequent, whereas in GoldMiner it is not. This makes intuitive sense, as in the literature normal cases are rarely described whereas in clinical work the comparison with normal cases is often a first step.The general similarity in many points is likely due to the fact that users of the two systems are influenced by their daily behaviour in using standard web search engines and follow this behaviour in their professional search. This means that many results and insights gained from standard web search can likely be transferred to more specialized search systems. Still, specialized log files can be used to find out more on reformulations and detailed strategies of users to find the right content.     

A research framework for pharmacovigilance in health social media: Identification and evaluation of patient adverse drug event reports

Social media offer insights of patients’ medical problems such as drug side effects and treatment failures. Patient reports of adverse drug events from social media have great potential to improve current practice of pharmacovigilance. However, extracting patient adverse drug event reports from social media continues to be an important challenge for health informatics research. In this study, we develop a research framework with advanced natural language processing techniques for integrated and high-performance patient reported adverse drug event extraction. The framework consists of medical entity extraction for recognizing patient discussions of drug and events, adverse drug event extraction with shortest dependency path kernel based statistical learning method and semantic filtering with information from medical knowledge bases, and report source classification to tease out noise. To evaluate the proposed framework, a series of experiments were conducted on a test bed encompassing about postings from major diabetes and heart disease forums in the United States. The results reveal that each component of the framework significantly contributes to its overall effectiveness. Our framework significantly outperforms prior work.     

Is Internet Information Adequate to Facilitate Surgical Decision-Making in Familial Adenomatous Polyposis?

Purpose Prophylactic surgery decisions are difficult. Supplemental information improves patients’ knowledge, promoting active participation in decision-making. Our objective was to examine internet information regarding prophylactic surgery for familial adenomatous polyposis to determine its adequacy in facilitating patient participation in surgical decision-making. Methods We searched the internet for information on surgery for familial adenomatous polyposis, using an intentionally simple strategy to represent patients’ searches. We examined the first 50 sites from each search, assessing each for content by using predefined criteria. Every site was evaluated by two investigators (kappa 0.71) by using the DISCERN criteria, a tool for evaluating quality of health information. Search-efficiency was calculated. Results Searches revealed 307,138 “hits”; 20 sites met inclusion criteria. GOOGLE™ demonstrated the highest search-efficiency (28 percent). Sites were maintained by general health pages (35 percent), hospitals (30 percent), professional organizations (15 percent), familial adenomatous polyposis registries (10 percent), and government (10 percent). Only 40 percent had been developed and/or updated within two years. Most included basic information regarding risk, symptoms, diagnosis, as well as discussion of familial adenomatous polyposis-associated diseases and surveillance (80–100 percent). Although 90 percent of sites presented surgical treatment options, only 60 percent provided details. Few provided information regarding postoperative bowel function (40 percent), sexual function (20 percent), or fertility (5 percent). Seven (35 percent) were identified as being of “good/excellent” quality. Only four were patient-oriented; variable information was provided. Conclusions Internet information regarding surgical treatment of familial adenomatous polyposis is sparse, and insufficient to support active patient participation in decision-making. Despite the time and financial commitment required, development of high-quality internet resources may be justified given the lack of adequate patient-oriented information currently available. Dr. Neuman is a research fellow of the Agency for Healthcare Quality and Research; this project was partially supported by grant number 5 T32 HS000066-13. Dr. Temple is supported in this project by a Career Development Award from the American Society of Clinical Oncology. Presented at the meeting of the Society for Medical Decision Making, Boston, Massachusetts, October 15 to 18, 2006. Reprints are not available.     

民族医药古籍保护性研究意义及现状

各民族医药在发展历史进程中,均通过文献、典籍、碑刻、口耳相传等形式起到了传播、传承、发展的重要作用。但经过几百年甚至几千年的传承,有遗失,有破损,有传承人断代致家传秘籍不能传承的危境等等,为此,需要开展藏医药古籍的保护性整理研究工作。课题组在全国范围内开展藏医药古籍文献的普查、收集、整理,经过5年多的努力,课题组首次以出版名录的形式对藏医药古籍文献进行文化产权的保护,首次以藏文、汉文、英文和藏文拉丁文转写作为国际规范和标准及成果进行推广,首次以信息化平台建设的形式对藏医药古籍文献进行永久性数字化保存、保护及传播,并以发明专利、著作权登记等形式对藏医药古籍文献进行知识产权的保护。     

Summing it up: An integrative review of studies of cancer survivorship care plans (2006‐2013)

In 2006, the Institute of Medicine recommended that cancer survivors who are completing primary treatment receive a survivorship care plan (SCP) based on face validity. The state of scientific knowledge regarding the SCP is unclear. The authors conducted an integrative review of existing evidence regarding SCPs. The MEDLINE/PubMed database, the Excerpta Medica Database (EMBASE), and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) database were searched for relevant studies published between 2006 and 2013 using a combination of keywords: “survivors,” “survivorship,” “care plans,” “care planning,” “treatment summaries,” and “cancer.” Articles were included if they 1) reported results from an empirical study, 2) included cancer survivors who were diagnosed at age ≥18 years, 3) related to SCP, and 4) were published in English. In total, 781 records were retrieved; 77 were identified as duplicates, and 665 were abstracts or presentations that did not relate to SCPs for adults or were not empirical, which left 42 articles for inclusion in this review. Studies regarding SCP fell into 3 categories: 1) content (n=14), 2) dissemination and implementation (n=14), and 3) survivor and provider outcomes (n=14). SCPs have been endorsed and are associated with improved knowledge, but SCP use remains sporadic. Only 4 studies were randomized controlled trials (RCTs) that avoided many biases associated with observational studies. Other limitations included cross‐sectional or pre‐SCP–post‐SCP (“pre‐post”) designs, limited generalizability caused by a lack of sample diversity, and a lack of systematic testing of data‐collection tools. The quantity and quality of SCP research are limited. SCPs have been endorsed, but evidence of improved outcomes associated with SCP is limited. Future research that addresses the methodological concerns of extant studies is needed regarding SCP use, content, and outcomes. Cancer 2015;121:978–996. © 2014 American Cancer Society.