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Deploying the chronic care model to implement and sustain diabetes self-management training programs.

PURPOSE: The purpose of this project was to evaluate the utility of using the 6 elements of the chronic care model (CCM; health system, community, decision support, self-management support, clinical information systems, and delivery system design) to implement and financially sustain an effective diabetes self-management training (DSMT) program. METHODS: The University of Pittsburgh Medical Center (UPMC) uses all elements of the CCM. Partnerships were formed between UPMC and western Pennsylvanian community hospitals and practices; the American Diabetes Association DSMT recognition program provided decision support. A clinical data repository and reorganization of primary care practices aided in supporting DSMT. The following process and patient outcomes were measured: number of recognized programs, reimbursement, patient hemoglobin A1C levels, and the proportion of patients who received DSMT in primary care practices versus hospital-based programs. RESULTS: Using elements of the CCM, the researchers were able to gain administrative support; expand the number of recognized programs from 3 to 21; cover costs through increased reimbursement; reduce hemoglobin A1C levels (P < .0001), and increase the proportion of patients receiving DSMT through delivery in primary care (26.4% suburban; 19.8% urban) versus hospital-based practices (8.3%; P < .0001). CONCLUSIONS: The CCM serves as an effective model for implementing and sustaining DSMT programs.

Chronic Disease↗

MAGIC-SPP: a database-driven DNA sequence processing package with associated management tools.

BACKGROUND: Processing raw DNA sequence data is an especially challenging task for relatively small laboratories and core facilities that produce as many as 5000 or more DNA sequences per week from multiple projects in widely differing species. To meet this challenge, we have developed the flexible, scalable, and automated sequence processing package described here. RESULTS: MAGIC-SPP is a DNA sequence processing package consisting of an Oracle 9i relational database, a Perl pipeline, and user interfaces implemented either as JavaServer Pages (JSP) or as a Java graphical user interface (GUI). The database not only serves as a data repository, but also controls processing of trace files. MAGIC-SPP includes an administrative interface, a laboratory information management system, and interfaces for exploring sequences, monitoring quality control, and troubleshooting problems related to sequencing activities. In the sequence trimming algorithm it employs new features designed to improve performance with respect to concerns such as concatenated linkers, identification of the expected start position of a vector insert, and extending the useful length of trimmed sequences by bridging short regions of low quality when the following high quality segment is sufficiently long to justify doing so. CONCLUSION: MAGIC-SPP has been designed to minimize human error, while simultaneously being robust, versatile, flexible and automated. It offers a unique combination of features that permit administration by a biologist with little or no informatics background. It is well suited to both individual research programs and core facilities.

Algorithms↗

CareSearch: finding and evaluating Australia's missing palliative care literature.

BACKGROUND: Palliative care is an evolving specialty with a growing evidence base. However, evidence is less accessible than it could be with a lower than average conversion of conference abstracts to articles in peer-reviewed journals and the need for more accessible tools to support evidence-based practice (EBP) in palliative care. The CareSearch project involved identifying, collecting and evaluating Australia's "grey" palliative care literature and identifying international published literature missing from the electronic indexing systems. The literature was then catalogued and made publicly available through the CareSearch website. RESULTS: To date over 2,500 items have been included in the CareSearch database and can be accessed and searched through a publicly available website. Nearly 2,000 items are conference abstracts and 178 are theses or government, organisational and planning documents. A further 410 items relate to articles from palliative journals that are not indexed on a major bibliographic database. The website also provides tools and facilities to support palliative care practice and research. CONCLUSION: CareSearch is a new evidence resource for palliative practitioners, educators and researchers. The palliative community now has access to a more comprehensive literature base as well as a resource that supports the integration of knowledge into practice. This specialised data repository enables users to access information on the body of work that has shaped palliative care development and prevents the potential loss or duplication of research work. It also provides a template for other emerging disciplines to use in capturing their literature and evidence.

Journal Article↗

Trends in the utilization of specific health care services among older Manitobans: 1985 to 2000.

This paper examines 16-year trends in the utilization of hospital and physician services by Manitobans aged 75 and more, using data from the Manitoba Population Health Research Data Repository. Trends are examined across five measures of hospital services (separations, short-stay days, long-stay days, cataract surgeries, and hip/knee replacements) and two measures of physician care (overall visit rate, and proportion having seven or more visits). Results show changes in the utilization of these services among older adults living in Manitoba over time, with the extent of change varying with the service under consideration, age, and location of residence. Previously large utilization differentials are shown to be shrinking; for example, cataract surgery rates across regions and physician visit rates by age. For other services, such as the rates of hip or knee replacement surgery, the differences across regions are increasing. Findings indicate that global generalizations about the impact of older adults on the health care system are subject to question, as regional differences and differences between age groups (75-84, 85+) can be significant.

Aged↗

Cost analysis of intensive glycemic control in critically ill adult patients.

STUDY OBJECTIVES: To assess the effect of an intensive glycemia management protocol on the cost of care of a heterogeneous population of critically ill adult patients. DESIGN: Economic analysis of a 1,600-patient "before-and-after" study of intensive glycemia management. SETTING: Fourteen-bed mixed medical-surgical adult ICU of a university-affiliated community teaching hospital. PATIENTS: Eight hundred consecutive admissions to the ICU prior to the institution of an intensive glucose management protocol were compared to the first 800 patients admitted to the ICU following institution of the protocol. INTERVENTIONS: Cost data were analyzed using the comprehensive database of the ICU as well as other hospital data repositories. MEASUREMENTS AND RESULTS: The ICU database was used to quantify the major components of the cost of care. The analysis includes costs associated with ICU and non-ICU patient days, ventilator days, and laboratory, pharmacy, and radiology services. Comparing the baseline and treatment periods, there were decreases in patient days in the ICU; ventilator days; total laboratory, pharmacy and radiology costs; and post-ICU hospital length of stay. The net annualized decrease in costs during the treatment period was USD 1,339,500, or USD 1,580 per patient. CONCLUSIONS: The institution of a program to intensively monitor glucose levels and treat even modest hyperglycemia in the ICU was associated with substantial cost savings. This finding, in conjunction with the previously demonstrated improvement in mortality and morbidity, strongly supports the adoption of this intervention as a standard of care in the ICU.

APACHE↗

A guide to building image-centric databases.

There is a paucity of image-centric neuroinformatics infrastructure within the individual investigator's laboratory despite the obvious need for automation and integration of experimental results. Yet, solutions can often be readily built using off-the-shelf databases and associated tools. Doing so simplifies day-to-day research operation and increases throughput. Proper construction of in-house solutions may also expedite community-wide integration of private and public data repositories. Here we describe neuroinformatics approaches at different levels of functionality, required expertise, and size of image datasets. The simplest approach offers ease of image browsing and rudimentary searching. More sophisticated systems provide powerful search capabilities, a means of tracking analysis, and even automated serial processing pipelines. In this practicum, we provide guidance in selecting among the different options.

Animals↗

Integrating pharmacokinetics into point-of-care information systems.

Computer-based patient care information systems (PCIS) have emerged as an integral component of healthcare organisations. Currently, 4 models of PCIS exist: the centralised model, the hub-and-spoke model, the network model, and the distributed model. The centralised model has the advantage of a central patient database; however, a major disadvantage of this model is the inability to easily interface with other software packages. The hub-and-spoke model links satellite or feeder systems into a mainframe computer; thus, each satellite has the ability to work independently. This system is limited by the ability to interface satellite systems with the mainframe computer. The network model works via a local area network (LAN) using client server technology which allows for high speed data access and transfer. The network model does not provide an integrated view of patient information and can access only 1 host system at a time. The distributed model is similar to the network model in design but provides for data and system integration via relational databases. This allows for the creation of a central data repository and support for decision-support tools. Computer-assisted decision support has the potential to significantly improve clinical decision-making. Six types of computer-assisted decision-support have been defined: alerting, interpreting, assisting, critiquing, diagnosing and managing. Software representing each type of decision-support software has been incorporated into clinical practice; however, with the exception of drug interaction programs, widespread incorporation of decision-support software into PCIS is uncommon. Clinical pharmacokinetic programs are a category of pharmacy-related decision-support software, and current clinical pharmacokinetic software systems can be categorised as interpreting, assisting or critiquing decision-support. Despite the potential for significant clinical contributions, the integration of clinical pharmacokinetic software into PCIS is uncommon. Most packages are available only as stand alone programs or as a module of a pharmacy information system. These packages usually maintain their own centralised database and require special file transfer protocols for integration. Although PCIS are becoming more commonplace, the integration of commercial clinical pharmacokinetic packages into PCIS is limited. New technology using standardised and relational databases should allow for easier integration in the future.

Computers, Mainframe↗

Detectable C-Peptide and Diabetic Ketoacidosis Risk in Type 1 Diabetes.

OBJECTIVE: To investigate whether detectable C-peptide levels in type 1 diabetes is associated with a lower risk of diabetic ketoacidosis (DKA). RESEARCH DESIGN AND METHODS: We analyzed the Diabetes Control and Complications Trial publicly available data repository for the association between detectable stimulated C-peptide (>0.2 nmol/mL, measured annually) and DKA incidence over an average 6.5-year follow-up. We used crude and adjusted Andersen-Gill models for recurrent DKA events with time-dependent covariates. RESULTS: Of the 1,441 participants (53% male, median age 27 years), 129 (9%) experienced 180 DKA events. Of these events, 179 (99.44%) occurred after C-peptide was &#x2264;0.2 nmol/L in the prior year and only 1 event occurred with C-peptide >0.2 nmol/L. C-peptide >0.2 nmol/L was associated with a DKA hazard ratio of 0.07 (95% CI 0.01-0.48; P = 0.007), consistent across adjusted models. CONCLUSIONS: Endogenous insulin production was significantly associated with lower DKA risk, suggesting that treatments preserving insulin production could decrease long-term DKA risk.

C-Peptide↗

Sorting out the Baby Bells' strategies.

After months of uncertainty, the seven regional Bell operating companies have divided into two camps: those that provide only the infrastructure for health care networks, and those that offer infrastructure along with other networking features, such as systems integration and central data repositories. In their quest for health care market share, the Bells face a number of obstacles. For example, they can't provide long-distance service, and they face restrictive rate regulations. In addition, increased interest in cable TV and wireless communication ventures has led some of the Bells to downsize their health care ambitions.

Computer Communication Networks↗

Nursing Information and Data Set Evaluation Center.

The American Nurses Association (ANA) has established the Nursing Information and Data Set Evaluation Center (NIDSEC). The purpose of this Center is to develop and disseminate standards pertaining to information systems that support the documentation of nursing practice, and to evaluate voluntarily submitted information systems against these standards. The target audience for these standards includes both consumers and vendors of clinical information systems. The need for an evaluation center arises out of a long history of calls for standards pertaining to nursing data and to information systems. These calls have come from the Secretary of Health and Human Services Commission on Nursing, the National Commission on Nursing Implementation Project (NICNIP). Standards will be developed to evaluate the completeness, accuracy and appropriateness of four dimensions of nursing data sets and the systems that contain them: 1) Nomenclature; 2) Clinical Content; 3) Clinical Data Repository; and 4) General System Characteristics.

American Nurses' Association↗

IT integration options for integrated delivery systems.

Development of an integrated delivery system (IDS) does not necessarily require complete integration of the information technology (IT) functions of the care delivery components that make up the IDS. With an adequate IT infrastructure throughout the IDS, however, the IT-related services and functions that most often can be integrated effectively among the various components of the IDS include: an organizationwide master patient index and clinical data repository, central financial and business office applications, a patient scheduling function, "value-added" services for physicians, decision-support and outcomes applications, and management service organization operations. Challenges to full integration include the need to anticipate future advances in technology, increased capital expenses, lack of sufficient savings to offset increased expenses, internal disruptions during the integration process, and the need for additional staff to support an organizationwide IT network.

Appointments and Schedules↗

Telematic system for monitoring of asthma severity in patients' homes.

Despite advances in the treatment of asthma the morbidity and mortality of this disease has increased significantly in the past several years. Recent studies have shown that monitoring of asthma severity in the patient home especially combined with patient education can reduce incidence of asthma exacerbation and subsequent hospitalization. The existing methods for home asthma monitoring are limited by four factors; they completely rely on a patient's ability to document and to evaluate test results; there is no easy way for a physician to review data in a timely manner; they use imprecise tools for evaluation of asthma severity and they don't provide clinical decision support tools. The goal of this study is to develop and to evaluate a telematic system for asthma severity monitoring which will minimize patients' efforts in performing self-testing at their homes and allow prompt reciprocal exchange of all relevant information between patients and health care providers. In our setting, patients use portable spirometer and pocket-sized palmtop computer for data exchange. Our system allows daily serial monitoring of asthma severity at patients' homes using Forced Vital Capacity test and symptom diary. The results of the tests become available for physicians review immediately after completion of self-testing procedures via Web browser. The results can be transmitted from patients' homes (or any other remote location) to the medical records database via landline or wireless networks in several minutes. Each time the remote server receives patient's results, it invokes the application which tests the validity of data, analyzes parameters trends and dispatches corresponding messages for the patient and, if necessary, for physicians. Such an approach provides constant feedback loop between asthma patient and physician. The system has been tested in 10 healthy volunteers and asthma patients. Patients participated in the study from two to 21 days. The test results showed that the system provides reliable reciprocal exchange of all relevant information between a physician and asthma patient in home settings. Average transmission time from the patient's palmtop to the remote central data repository was about 1 minute for 14.4 Kbps landline modem, 6 minutes for cellular network and 8 minutes for RAM Mobile network. After transmission, the test results were immediately available for review at our web site.

Asthma↗

Small but mighty. In the face of an impending natural disaster, you need a great plan, an electronic patient record and community cooperation.

UNLABELLED: Englewood Community Hospital, a small, acute-care facility in the Gulf Coast area of South Florida PROBLEM: Hurricane Georges forced the staff and administrators of Englewood Community Hospital to evacuate patients and provide emergency care for the community. SOLUTION: A comprehensive disaster plan. RESULTS: Englewood staff discovered they were well-prepared for patient evacuation in times of threatening natural disasters. The MEDITECH clinical data repository allowed no disruption in access to the patients' history or current clinical profile. KEY TO SUCCESS: "Englewood Community Hospital's comprehensive, well thought-out disaster plan covered critical issues such as staffing, reimbursement, documentation, and most importantly, continuity of care during the move to another hospital."

Community-Institutional Relations↗

A controlled time-series trial of clinical reminders: using computerized firm systems to make quality improvement research a routine part of mainstream practice.

OBJECTIVE: To explore the feasibility of conducting unobtrusive interventional research in community practice settings by integrating firm-system techniques with time-series analysis of relational-repository data. STUDY SETTING: A satellite teaching clinic divided into two similar, but geographically separated, primary care group practices called firms. One firm was selected by chance to receive the study intervention. Forty-two providers and 2,655 patients participated. STUDY DESIGN: A nonrandomized controlled trial of computer-generated preventive reminders. Net effects were determined by quantitatively combining population-level data from parallel experimental and control interrupted time series extending over two-month baseline and intervention periods. DATA COLLECTION: Mean rates at which mammography, colorectal cancer screening, and cholesterol testing were performed on patients due to receive each maneuver at clinic visits were the trial's outcome measures. PRINCIPAL FINDINGS: Mammography performance increased on the experimental firm by 154 percent (0.24 versus 0.61, p = .03). No effect on fecal occult blood testing was observed. Cholesterol ordering decreased on both the experimental (0.18 versus 0.1 1, p = .02) and control firms (0.13 versus 0.07, p = .03) coincident with national guidelines retreating from recommending screening for young adults. A traditional uncontrolled interrupted time-series design would have incorrectly attributed the experimental-firm decrease to the introduction of reminders. The combined analysis properly indicated that no net prompting effect had occurred, as the difference between firms in cholesterol testing remained stochastically stable over time (0.05 versus 0.04, p = .75). A logistic-regression analysis applied to individual-level data produced equivalent findings. The trial incurred no supplementary data collection costs. CONCLUSIONS: The apparent validity and practicability of our reminder implementation study should encourage others to develop computerized firm systems capable of conducting controlled time-series trials.

Adult↗

A clinical information systems strategy for a large integrated delivery network.

Integrated delivery networks (IDNs) are an emerging class of health care institutions. IDNs are formed from the affiliation of individual health care institutions and are intended to be more efficient in the current fiscal health care environment. To realize efficiencies and support their strategic visions, IDNs rely critically on excellent information technology (IT). Because of its importance to the mission of the IDN, strategic decisions about IT are made by the top leadership of the IDN. At Partners HealthCare System, a large IDN in Boston, MA, a clinical information systems strategy has been created to support the Partners clinical vision. In this paper, we discuss the Partners' structure, clinical vision, and current IT initiatives in place to address the clinical vision. The initiatives are: a clinical data repository, inpatient process support, electronic medical records, a portal strategy, referral applications, knowledge resources, support for product lines, patient computing, confidentiality, and clinical decision support. We address several of the issues encountered in trying to bring excellent information technology to a large IDN.

Confidentiality↗

Managing clinical research information: a case study in information access, presentation, and analysis.

Medical information systems at the NIH must meet the twin challenges of excellent patient care and innovative clinical research. This article describes the approach taken by the clinical center at the NIH to enhance its information systems to meet these challenges. The four key components of this strategy are the standard clinical desktop, the clinical data repository, the repository access package, and protocol mapping. Together, these tools provide significant new capabilities for patient care staff and clinical investigators.

Clinical Protocols↗

Health informatics: managing information to deliver value.

Can informatics improve health? This paper answers yes, exploring its components, benefits, and effect on a wide variety of health-related activities. We first examine how information technology enables health informatics, supporting information management and knowledge creation through its four cornerstones. Success factors in using informatics are covered next, including human factors, the role of trained health informaticians, and the importance of matching informatics initiatives with business goals and establishing and measuring value. We demonstrate the potential effect of the Internet on health services through such e-health applications as enterprise-wide patient records, state-of-the-art call centers, and data repositories. For current evidence that informatics is already improving health, we turn to such topics as disease management, telehealth, patient safety, and decision support. As more organizations move informatics from theory into practice and realize its value, they will transform inefficient processes and improve care for all.

Decision Support Systems, Clinical↗

The millennium Cohort Study: a 21-year prospective cohort study of 140,000 military personnel.

Does military service, in particular operational deployment, result in a higher risk of chronic illness among military personnel and veterans? The Millennium Cohort Study, the largest Department of Defense prospective cohort study ever conducted, will attempt to answer this question. The probability-based sample of 140,000 military personnel will be surveyed every 3 years during a 21-year period. The first questionnaire, scheduled for release in summer 2001, will be sent to 30,000 veterans who have been deployed to southwest Asia, Bosnia, or Kosovo since August 1997 and 70,000 veterans who have not been deployed to these conflict areas. Twenty thousand new participants will be added to the group in each of the years 2004 and 2007 to complete the study population of 140,000. The participants will have the option of completing the study questionnaire either on the paper copy received in the mail or through the World Wide Web-based version, which is available at www.MillenniumCohort.org. This will be one of the first prospective studies ever to offer such an option. The initial survey instrument will collect data regarding demographic characteristics, self-reported medical conditions and symptoms, and health-related behaviors. Validated instruments will be incorporated to capture self-assessed physical and mental functional status (Short Form for Veterans), psychosocial assessment (Patient Health Questionnaire), and post-traumatic stress disorder (Patient Checklist-17). Information obtained from the survey responses will be linked with other military databases, including data on deployment, occupation, vaccinations, health care utilization, and disability. In addition to revealing changes in veterans' health status over time, the Millennium Cohort Study will serve as a data repository, providing a solid foundation upon which additional epidemiological studies may be constructed.

Chronic Disease↗