Redesigning electronic health record systems to support public health

Current electronic health record systems are primarily clinical in focus, designed to provide patient-level data and provider-level decision support. Adapting EHR systems to serve public health needs provides the possibility of enormous advances for public health practice and policy. In this review, we evaluate EHR functionality and map it to the three core functions of public health: assessment, policy development, and assurance. In doing so, we identify and discuss important design, implementation, and methodological issues with current systems. For example, in order to support public health's traditional focus on preventive health and socio-behavioral factors, EHR data models would need to be expanded to incorporate environmental, psychosocial, and other non-medical data elements, and workflow would have to be examined to determine the optimal way of collecting these data. We also argue that redesigning EHR systems to support public health offers benefits not only to the public health system but also to consumers, health-care institutions, and individual providers.     

Scenario-based design: a method for connecting information system design with public health operations and emergency management

Responding to public health emergencies requires rapid and accurate assessment of workforce availability under adverse and changing circumstances. However, public health information systems to support resource management during both routine and emergency operations are currently lacking. We applied scenario-based design as an approach to engage public health practitioners in the creation and validation of an information design to support routine and emergency public health activities. Methods: Using semi-structured interviews we identified the information needs and activities of senior public health managers of a large municipal health department during routine and emergency operations. Results: Interview analysis identified 25 information needs for public health operations management. The identified information needs were used in conjunction with scenario-based design to create 25 scenarios of use and a public health manager persona. Scenarios of use and persona were validated and modified based on follow-up surveys with study participants. Scenarios were used to test and gain feedback on a pilot information system. Conclusion: The method of scenario-based design was applied to represent the resource management needs of senior-level public health managers under routine and disaster settings. Scenario-based design can be a useful tool for engaging public health practitioners in the design process and to validate an information system design.     

The RE-AIM framework for evaluating interventions: what can it tell us about approaches to chronic illness management?

BACKGROUND: The RE-AIM framework is used as a method of systematically considering the strengths and weaknesses of chronic illness management interventions in order to guide program planning. METHOD: The RE-AIM dimensions of Reach, Efficacy, Adoption, Implementation, and Maintenance are used to rate one-on-one counseling interventions, group sessions, interactive computer-mediated interventions, telephone calls, mail interventions, and health system policies. RESULTS: The RE-AIM ratings suggest that, although often efficacious for those participating, traditional face-to-face intervention modalities will have limited impact if they cannot be delivered consistently to large segments of the target population. Interventions using new information technologies may have greater reach, adoption, implementation, and maintenance, and thereby greater public health impact. Policy changes received high ratings across a variety of RE-AIM dimensions. CONCLUSIONS: Program planners should make decisions regarding implementing and funding health services based on multiple dimensions, rather than only considering efficacy in randomized clinical trials. Doing so may improve the resulting public health impact. Directions for future chronic illness management research related to RE-AIM, and implications for decision making, are described.     

Creating a GIS application for health services at Jeddah city

This paper explores the possibilities of using GIS for private hospitals at Jeddah city, Saudi Arabia. A GIS application is created to cover three main health planning issues which are distribution of health demand, classification of hospital patients and the definition of hospital service area. Each one of these issues is covered using several GIS functions including network analysis and overlay analysis. The former is used to produce drive-time hospital service area and the latter is applied at the selected hospital to calculate the size of its served demand. GIS has several useful functions and tools that can be used in health planning field. This paper uses some of these functions for one private hospital. These functions are used to help health planners on evaluating the spatial distribution of hospital demand and for defining hospital service area. All the produced models can be applied on any private or public hospital in Jeddah city. They can be used to build a spatial decision support system for hospitals in Jeddah city.     

Cost containment--another view

There is an emerging public consensus that in a slowly growing economy, the continuing rise in the nation's health-care costs must be moderated. Ginzberg has suggested that we can and must do this without reducing the quality of care we provide and without major changes in the structure or governance of our health-care-delivery system. He implies that we can readily identify and eliminate substantial numbers of useless health-care services. Such an approach to cost containment is almost certain to fail. A successful cost-containment program will include some or all of the following elements: caps on public health expenditures and implicit limits on the quality and accessibility of health care to be provided at public expense, much tighter government regulation of private health-care expenditures, control of the physician supply, and modification of the fee-for-service reimbursement system for physicians and hospitals. Until our society is prepared to accept these kinds of structural changes and their adverse impact, to some degree, on the quality and accessibility of health services, effective cost containment will not occur. Are we ready for these kinds of changes? Should we be? Perhaps we ought to be less concerned about cost containment and more prepared to spend 12 or 13 per cent of the gross national product on health care by 1990. What we should not do is pretend that painless cost containment is an achievable goal.     

What can we learn in drug allergy management from World Health Organization's international classifications?

Drug hypersensitivity reactions (DHRs) represent growing health problem worldwide, affecting more than 7% of the general population, and represent an important public health problem. However, knowledge in DHRs morbidity and mortality epidemiological data is still not optimal and international comparable standards remain poorly accessed. Institutional databases worldwide increasingly use the WHO International Classification of Diseases (ICD) system to classify diagnoses, health services utilization, and death data. The misclassification of disorders in the ICD system contributes to a lack of ascertainment and recognition of their importance for healthcare planning and resource allocation. It also hampers clinical practice and prevention actions. To further inform the allergy community and to ensure that the revision process is transparent as advised in the WHO ICD‐11 revision agenda, we report the advances and use of the pioneering “Drug hypersensitivity” subsection of ICD‐11 and implementation in the WHO International Classification of Health Interventions (ICHI). The new classification addressed to DHRs will enable the collection of more accurate epidemiological data to support quality management of patients with drug allergies and better facilitate healthcare planning and decision‐making and public health measures to prevent and reduce the morbidity and mortality attributable to DHRs.     

Exploring the scope of community-based rehabilitation in ensuring the holistic development of differently-abled people

BackgroundGlobally, it has been estimated that almost 15% of world''s population live with some form of disability, of which the majority are from developing nations.ObjectivesTo explore the role of community-based rehabilitation (CBR) in the health sector, identify the prevalent challenges, and to suggest measures to facilitate its smooth implementation in community.MethodsAn extensive search of all materials related to the topic was made using library sources including Pubmed, Medline and World Health Organization. Keywords used in the search included community, community-based rehabilitation, disabled, and public health.ResultsThe notion of community-based rehabilitation (CBR) emerged in 1978 with an aim to improve the accessibility of disabled people to rehabilitation services, especially in developing countries, by ensuring optimal use of locally available resources. CBR programs support people with disabilities by providing health services at their doorsteps, and thus estalish a strong linkage between people with disabilities and the health-care system.ConclusionCBR encompasses a set of interventions that are implemented for a diverse and complex group of disabled people, and thus necessitates careful planning and systematic execution for ensuring welfare of these vulnerable people.     

Health practitioners' and health planners' information needs and seeking behavior for decision making in Uganda

BACKGROUND: Access to reliable information is the most cost-effective and achievable strategy for sustainable improvement in health care. While several studies have described practitioners' information seeking behavior in developed countries, literature from developing countries is lacking. The aims of the study were: (i) to determine the most influential type of information for health workers' and planners' decision making; (ii) to establish the practitioners' evaluation of the availability and quality of this important information; and (iii) to establish the most commonly used/accessible sources of the information relevant for decision making in Uganda. METHODS: Self-administered questionnaires were sent to 610 health workers, planners, and administrators at the national, district and health facility levels in four districts in Uganda. Respondents were reminded three times, after which non-response was registered. Data were entered, cleaned and analysed using SPSS version 12.0. Logistic regression analysis was used to test for differences in responses. RESULTS: The response rate was 67.7% (413). The respondents indicated that personal experience (79%), discussion with colleagues (76%) and national policy and treatment guidelines (75%) were most influential when making decisions in health care and planning. They reported that most of the epidemiological information was available and of relatively good quality but there was lack of information about distribution of benefit, segregated demographic data, and social values. The most often used sources of information included; discussions with colleagues (89%), doctors' statements (85%) and text books (77%). The least frequently used sources were the internet and the library. This varied with respondents' designation and region of origin. CONCLUSIONS: Health planners and practitioners lack some of the information relevant for decision making. They tend to rely on the national policy and treatment guidelines, discussion with colleagues, and personal experience. Most frequently used sources of information are similar to previous studies. The variation in the frequency of use of the different sources of research information necessitates research to understand the barriers and careful planning of health information delivery to ensure equitable access.     

An ontology-based personalization of health-care knowledge to support clinical decisions for chronically ill patients

Chronically ill patients are complex health care cases that require the coordinated interaction of multiple professionals. A correct intervention of these sort of patients entails the accurate analysis of the conditions of each concrete patient and the adaptation of evidence-based standard intervention plans to these conditions. There are some other clinical circumstances such as wrong diagnoses, unobserved comorbidities, missing information, unobserved related diseases or prevention, whose detection depends on the capacities of deduction of the professionals involved. In this paper, we introduce an ontology for the care of chronically ill patients and implement two personalization processes and a decision support tool. The first personalization process adapts the contents of the ontology to the particularities observed in the health-care record of a given concrete patient, automatically providing a personalized ontology containing only the clinical information that is relevant for health-care professionals to manage that patient. The second personalization process uses the personalized ontology of a patient to automatically transform intervention plans describing health-care general treatments into individual intervention plans. For comorbid patients, this process concludes with the semi-automatic integration of several individual plans into a single personalized plan. Finally, the ontology is also used as the knowledge base of a decision support tool that helps health-care professionals to detect anomalous circumstances such as wrong diagnoses, unobserved comorbidities, missing information, unobserved related diseases, or preventive actions. Seven health-care centers participating in the K4CARE project, together with the group SAGESA and the Local Health System in the town of Pollenza have served as the validation platform for these two processes and tool. Health-care professionals participating in the evaluation agree about the average quality 84% (5.9/7.0) and utility 90% (6.3/7.0) of the tools and also about the correct reasoning of the decision support tool, according to clinical standards.     

Current Perspectives on Biomedical Waste Management: Rules,Conventions and Treatment Technologies

Unregulated biomedical waste management (BMWM) is a public health problem. This has posed a grave threat to not only human health and safety but also to the environment for the current and future generations. Safe and reliable methods for handling of biomedical waste (BMW) are of paramount importance. Effective BMWM is not only a legal necessity but also a social responsibility. This article reviews the current perspectives on BMWM and rules, conventions and the treatment technologies used worldwide. BMWM should ideally be the subject of a national strategy with dedicated infrastructure, cradle-to-grave legislation, competent regulatory authority and trained personnel. Improving the management of biomedical waste begins with waste minimisation. These standards, norms and rules on BMWM in a country regulate the disposal of various categories of BMW to ensure the safety of the health-care workers, patients, public and environment. Furthermore, developing models for the monitoring of hospital health-care waste practices and research into non-burn eco-friendly sustainable technologies, recycling and polyvinyl chloride-free devices will go in long way for safe carbon environment. Globally, greater research in BMWM is warranted to understand its growing field of public health importance.     

Inborn Errors of Metabolism Collaborative: large-scale collection of data on long-term follow-up for newborn-screened conditions

PurposeThe Inborn Errors of Metabolism Information System (IBEM-IS) collects data on the clinical history of inborn errors of metabolism (IBEMs). The IBEM-IS is accessible to metabolic clinics nationwide and seeks to (i) influence clinical management of affected individuals and (ii) provide information to support public health decision making.MethodsThirty centers in 21 states are enrolling persons with newborn-screened conditions, collecting information on diagnosis and treatment at the time of enrollment and all subsequent visits. Prospective data are collected using electronic capture forms allowing aggregation of information regarding outcomes for individuals affected with IBEMs.ResultsA total of 1,893 subjects have been enrolled in the IBEM-IS, and more than 540,000 individual data points have been collected. Data collection has been initiated for subjects with 41 of 46 conditions on the recommended uniform screening panel; 4 conditions have more than 100 subjects enrolled. Median follow-up time for subjects with more than one visit (n = 898) is 1.5 years (interquartile range = 2.2 years). Subjects with critical conditions are more likely to have emergency letters and sick-day plans. Mortality was exclusive to children with critical conditions.ConclusionLarge-scale prospective data can be collected for individuals with rare conditions, permitting enhanced decision making for clinical management and supporting decision making in public health newborn screening programs.Genet Med 18 12, 1276–1281.     

Development and field testing of a decision support tool to facilitate shared decision making in contraceptive counseling

ObjectiveWe developed and formatively evaluated a tablet-based decision support tool for use by women prior to a contraceptive counseling visit to help them engage in shared decision making regarding method selection.MethodsDrawing upon formative work around women’s preferences for contraceptive counseling and conceptual understanding of health care decision making, we iteratively developed a storyboard and then digital prototypes, based on best practices for decision support tool development. Pilot testing using both quantitative and qualitative data and cognitive testing was conducted. We obtained feedback from patient and provider advisory groups throughout the development process.ResultsNinety-six percent of women who used the tool in pilot testing reported that it helped them choose a method, and qualitative interviews indicated acceptability of the tool’s content and presentation. Compared to the control group, women who used the tool demonstrated trends toward increased likelihood of complete satisfaction with their method. Participant responses to cognitive testing were used in tool refinement.ConclusionOur decision support tool appears acceptable to women in the family planning setting.Practice implicationsFormative evaluation of the tool supports its utility among patients making contraceptive decisions, which can be further evaluated in a randomized controlled trial.     

Deficiencies in the transfer and availability of clinical trials evidence: a review of existing systems and standards

ABSTRACT: BACKGROUND: Decisions concerning drug safety and efficacy are generally based on pivotal evidence provided by clinical trials. Unfortunately, finding the relevant clinical trials is difficult and their results are only available in text-based reports. Systematic reviews aim to provide a comprehensive overview of the evidence in a specific area, but may not provide the data required for decision making. METHODS: We review and analyze the existing information systems and standards for aggregate level clinical trials information from the perspective of systematic review and evidence-based decision making. RESULTS: The technology currently used has major shortcomings, which cause deficiencies in the transfer, traceability and availability of clinical trials information. Specifically, data available to decision makers is insufficiently structured, and consequently the decisions cannot be properly traced back to the underlying evidence. Regulatory submission, trial publication, trial registration, and systematic review produce unstructured datasets that are insufficient for supporting evidence-based decision making. CONCLUSIONS: The current situation is a hindrance to policy decision makers as it prevents fully transparent decision making and the development of more advanced decision support systems. Addressing the identified deficiencies would enable more efficient, informed, and transparent evidence-based medical decision making.     

Developing,implementing, and evaluating decision support systems for shared decision making in patient care: a conceptual model and case illustration

The importance of including patient preferences in decisions regarding their care has received increased emphasis over recent years. Medical informatics can play an important role in improving patient-centered care by developing decision support systems to support the inclusion of patient preferences in clinical decision making. However, development of such systems is a complex task that requires the integration of knowledge from four major research areas: (1) the clinical domain, for understanding of the decision problem, (2) decision science and research on shared decision making, to provide the theoretical underpinnings and techniques for eliciting patient preferences; (3) medical informatics, to provide the technology and algorithms for the collection, processing, structure, presentation and integration of patient preferences into patient care; and (4) organizational knowledge, to adapt the decision support system to the practices and work flows of clinicians and the organizational and professional context of the clinical practice settings. This paper describes a conceptual model comprising eight key components that are important to be considered in the development, implementation, and evaluation of decision support systems for shared decision making in patient care. The example of CHOICE, a decision support system to assist nurses in eliciting and integrating rehabilitation patients' preferences for functional performance in patient care is used to illustrate the eight components.     

Decision support in medicine: lessons from the HELP system

PURPOSE: This report describes an ongoing transition from the HELP Hospital Information System to HELP II, a replacement Health Information System built to manage clinical information captured in a variety of medical settings. The focus of the article is on the medical decision support provided by this system and studied by researchers at the University of Utah and Intermountain Health Care (IHC), a large health care organization in Utah, for many years. METHODS: Select success features of the original HELP system's decision support environment are identified and lessons learned are related. Plans for transferring these features to HELP II are discussed. RESULTS: The article focuses on four features: (1) the importance of easy access to patient data essential for decision support, (2) the commitment to continued measurement and revision of both the logic and the interventional strategy in a decision support application, (3) experience with data mining as a tool for developing decision support tools, and (4) the role of clinical reports in supporting the decision making process.     

User experiences of evidence-based online resources for health professionals: User testing of <Emphasis Type="Italic">The Cochrane Library</Emphasis>

Background  

Evidence-based decision making relies on easy access to trustworthy research results. The Cochrane Library is a key source of evidence about the effect of interventions and aims to "promote the accessibility of systematic reviews to anyone wanting to make a decision about health care". We explored how health professionals found, used and experienced The Library, looking at facets of user experience including findability, usability, usefulness, credibility, desirability and value.     

Incorporating patient and family preferences into evidence-based medicine

Background

Clinicians are encouraged to practice evidence-based medicine (EBM) as well as patient-centered medicine. At times, these paradigms seem to be mutually exclusive and difficult to reconcile. It can become even more challenging when trying to include the preferences of the patient’s family members. This paper discusses the basis for this quandary, providing examples of the real-world impact it has on diagnosis-seeking and treatment decision-making behaviors and how it might inform implementation of EBM practices.

Analysis

To further explore the role of friends and family in health-care decision making and to understand how patients and families introduce other considerations that may or may not be congruent with a strictly EBM approach, data from two research studies that examined healthcare–seeking behaviors are presented. Both studies explore how family and friends not only can influence health-care decisions but also may be a source of conflict for the patient and/or clinician.

Conclusions

Illness is a biological and social process. Clinicians who engage in EBM need to acknowledge the social and cultural factors that affect the health-care encounter, understand the important role of those factors in health-care decision making, and expand the paradigm of EBM to incorporate sociocultural influences more explicitly. Moreover, recognition of the influences family members and other caregivers have within the clinical encounter—by offering opinions and participating in treatment-related decision making—is needed and could lead to more efficient and effective health care.

     

Online usability and patients with long-term conditions: a mixed-methods approach

BackgroundTo improve the information position of health care consumers and to facilitate decision-making behavior in health the Dutch ministry of Health commissioned the National Institute for Public Health and the Environment to develop, host and manage a public national health and care portal (www.kiesbeter.nl) on the Internet. The portal is used by over 4 million visitors in 2010. Among them, an increasing amount of patients that use the portal for information and decision making on medical issues, healthy living, health care providers and other topics.ObjectiveFirst objective is to examine what usability aspects of the portal kiesBeter.nl matter for chronic patients and their informal carers with regard to information seeking, self-management, decision making, on line health information and other variables. Second objective is to make evidence-based practical recommendations for usability improvement.MethodsAn innovative combination of techniques (semi-structured interviews; eHealth Literacy scale; scenario-based study using think-aloud protocol and screen capture software; focus group) is used to study usability and on line information seeking behavior in a non random judgment sample of three groups of patients (N = 21) with long-term medical conditions (arthritis, asthma and diabetes).ResultsThe search strategy mostly used (65%) by the relatively well-educated subjects is ‘orienteering’. Users with long-term conditions and their carers expect tailored support from a national health portal, to help them navigate, search and find the detailed information they need. They encounter serious problems with these usability issues some of which are disease-specific. Patients indicate a need for personalized information. They report low impact on self-management and decision making. Overall judgment of usability is rated 7 on a Likert type 0–10 scale. Based on the outcomes recommendations could be formulated. These have led to major adaptations to improve usability.LimitationsA non-representative composition of a small non random judgment sample does not permit generalization to other populations and cognitive bias cannot be quantified. However if mixed methods are applied valid conclusions can be drawn with regard to usability issues.     

Understanding the information needs of public health practitioners: a literature review to inform design of an interactive digital knowledge management system

The need for rapid access to information to support critical decisions in public health cannot be disputed; however, development of such systems requires an understanding of the actual information needs of public health professionals. This paper reports the results of a literature review focused on the information needs of public health professionals. The authors reviewed the public health literature to answer the following questions: (1) What are the information needs of public health professionals? (2) In what ways are those needs being met? (3) What are the barriers to meeting those needs? (4) What is the role of the Internet in meeting information needs? The review was undertaken in order to develop system requirements to inform the design and development of an interactive digital knowledge management system. The goal of the system is to support the collection, management, and retrieval of public health documents, data, learning objects, and tools.Method:The search method extended beyond traditional information resources, such as bibliographic databases, tables of contents (TOC), and bibliographies, to include information resources public health practitioners routinely use or have need to use—for example, grey literature, government reports, Internet-based publications, and meeting abstracts.Results:Although few formal studies of information needs and information-seeking behaviors of public health professionals have been reported, the literature consistently indicated a critical need for comprehensive, coordinated, and accessible information to meet the needs of the public health workforce. Major barriers to information access include time, resource reliability, trustworthiness/credibility of information, and “information overload”.Conclusions:Utilizing a novel search method that included the diversity of information resources public health practitioners use, has produced a richer and more useful picture of the information needs of the public health workforce than other literature reviews. There is a critical need for public health digital knowledge management systems designed to reflect the diversity of public health activities, to enable human communications, and to provide multiple access points to critical information resources. Public health librarians and other information specialists can serve a significant role in helping public health professionals meet their information needs through the development of evidence-based decision support systems, human-mediated expert searching and training in the use information retrieval systems.