Tracking and visualizing chronic headache trends through the use of linked mobile and desktop websites

Many people suffering from chronic headaches use headache diaries to help track trends in their episodes. Studies have shown that electronic headache diaries are more effective than paper diaries for both patients and providers. We de-signed and implemented a full-size and mobile Web-based headache tracker and a database management system to store the data from the websites. The fullsize website allows users to retrieve their data by viewing or downloading a table of the raw values they entered, or they can see a graphical visualization linking the severity of their headaches to any of several variables. Through this system's capacity to illustrate trends and track contributing factors for headaches, users, researchers and health service providers may gain better understanding of and control over chronic headaches.

A hospital survey on the utilization of the master file of the standardized nursing practice terminology in Japan

A common language in nursing facilitates better communication among nurses and other healthcare providers, assuring better nursing care, hence better patient outcomes. As we developed and disseminated the standardized terminology of nursing which provided nurses with a set of terms to describe nursing observations and nursing actions, we run a survey to see how much it was recognized and utilized in actual clinical settings. The result showed that approximately 60% of the respondents were cognizant of our terminology, and again 60% of them were either actually using the terminology or interested in using it in the future. For them, the main purposes of utilizing the terminology were nursing documentation and care planning. Sometimes it was used as an educational tool. This suggests that we should further develop a tool to assist nurses with their documentation and care planning alongside the revision of the terminology itself.

Health-oriented electronic oral health record for health surveillance

Public health surveillance of oral health might benefit from increased access to and analysis of electronically available data including systematic collection, analysis, interpretation, and dissemination of outcome-specific data for use in public health action to improve oral health. This study aimed to develop and evaluate a new Health-oriented Electronic Oral Health Record (Health-EOHR) that integrated new oral health status graphical user interface, the health-oriented status and intervention model to facilitate oral health surveillance. We designed an experiment using focus groups and a Delphi process to develop health-oriented status and intervention model and graphical user interface. The Health-EOHR was implemented and integrated into the existing Electronic Health Record widely used in community hospitals. The study on usefulness for oral health surveillance was conducted. Overall, the dentists were significantly satisfied with the Health-EOHR compared to the existing EOHR (p < 0.001). The dentists found it easy to use and were generally satisfied with the function and the impact on their work, oral health services and surveillance.

Developing a survey to assess factors that contribute to physician involvement in clinical research

BACKGROUND

Investment in research, including clinical research, has positive effects both on health of a population and economic growth of a country. Several factors have been suggested as being related to the performance of clinical research. The goal of this work was to develop and perform initial validation of a survey that measures both current research involvement of physicians, as well as previously noted factors and additional informatics factors affecting this involvement. The survey was developed in both English and Spanish with the goal of its use in Latin America.

METHODS

The initial survey was developed primarily from experience with other validated surveys developed for similar purposes. It was validated in three stages with modification or elimination of questions as indicated by this testing.

RESULTS

The final survey contains 33 questions in the categories of research experience, education in research, environmental factors, computer experience, and collaboration.

Commercial versus in-situ usability testing of healthcare information systems: towards "public" usability testing in healthcare organizations

The need for improved usability in healthcare IT has been widely recognized. In addition, methods from usability engineering, including usability testing and usability inspection have received greater attention. Many vendors of healthcare software are now employing usability testing methods in the design and development of their products. However, despite this, the usability of healthcare IT is still considered to be problematic and many healthcare organizations that have purchased systems that have been tested at vendor testing sites are still reporting a range of usability and safety issues. In this paper we explore the distinction between commercial usability testing (conducted at centralized vendor usability laboratories and limited beta test sites) and usability testing that is carried out locally within healthcare organizations that have purchased vendor systems and products (i.e. public "in-situ" usability testing). In this paper it will be argued that both types of testing (i.e. commercial vendor-based testing) and in-situ testing are needed to ensure system usability and safety.

Full-text automated detection of surgical site infections secondary to neurosurgery in Rennes, France

The surveillance of Surgical Site Infections (SSI) contributes to the management of risk in French hospitals. Manual identification of infections is costly, time-consuming and limits the promotion of preventive procedures by the dedicated teams. The introduction of alternative methods using automated detection strategies is promising to improve this surveillance. The present study describes an automated detection strategy for SSI in neurosurgery, based on textual analysis of medical reports stored in a clinical data warehouse. The method consists firstly, of enrichment and concept extraction from full-text reports using NOMINDEX, and secondly, text similarity measurement using a vector space model. The text detection was compared to the conventional strategy based on self-declaration and to the automated detection using the diagnosis-related group database. The text-mining approach showed the best detection accuracy, with recall and precision equal to 92% and 40% respectively, and confirmed the interest of reusing full-text medical reports to perform automated detection of SSI.

Improving medication adherence for chronic disease using integrated e-technologies

Diabetes mellitus (DM) is a chronic disease affecting more than 285 people worldwide and the fourth leading cause of death. Increasing evidence suggests that many DM patients have poor adherence with prescribed medication therapies, impacting clinical outcomes. Patients' barriers to medication adherence and the extent to which barriers contribute to poor outcomes, however, are not routinely assessed. We designed a dashboard for an electronic health record system to integrate DM disease and medication data, including patient-reported barriers to adherence. Processes to support routine capture of data from patients are also being explored. The dashboard is being evaluated at multiple ambulatory clinics to examine whether integrated electronic tools can support patient-centered decision-making processes involving complex medication regimens for DM and other chronic diseases.

Mining information dependency in outpatient encounters for chronic disease care

Chronic disease care, e.g., care of type 2 diabetes mellitus, is a long-term, complex process involving collaboration and coordination among multiple healthcare providers. To facilitate and accelerate the process, it is key to understand the information flow and identify the information dependency (e.g., temporal dependency of co-occurrence and sequential occurrence) during care provision, which is also the objective of this work. Since most health interventions and decisions are made in outpatient encounters for chronic patients, in this paper, we propose an approach to mine temporal information dependency in outpatient encounter records using sequential pattern mining techniques. By exploring the real data of over 10,000 type 2 diabetes patients from three hospitals, the proposed approach effectively works out sets of meaningful information dependency patterns for different patient groups. The discovered information dependency can be used to guide the information sharing between different health providers, and optimize the chronic disease care coordination.

Indianapolis emergency medical service and the Indiana Network for Patient Care: evaluating the patient match algorithm

In 2009, Indianapolis launched an electronic medical record system within their ambulances1 and started to exchange patient data with the Indiana Network for Patient Care (INPC) This unique system allows EMS personnel to get important information prior to the patient's arrival to the hospital. In this descriptive study, we found EMS personnel requested patient data on 14% of all transports, with a "success" match rate of 46%, and a match "failure" rate of 17%. The three major factors for causing match "failure" were ZIP code 55%, Patient Name 22%, and Birth date 12%. We conclude that the ZIP code matching process needs to be improved by applying a limitation of 5 digits in ZIP code instead of using ZIP+4 code. Non-ZIP code identifiers may be a better choice due to inaccuracies and changes of the ZIP code in a patient's record.

[State of health of populations residing in geothermal areas of Tuscany]

OBJECTIVE

The limited scientific knowledge on relationship between exposure and health effects in relation to geothermal activity motivated an epidemiologic investigation in Tuscan geothermal area. The study aims to describe the health status of populations living in Tuscany municipalities where concessions for exploitation of geothermal resources were granted.

DESIGN

This is an ecological study, so it is not useful to produce evidence to sustain a judgment on the cause-effect link. The major limits of this type of study are the use of the residence at municipal level as a proxy of exposure to both environmental and socioeconomic factors and the use of aggregated data of health outcomes that can lead to the well-known ecological fallacy.

SETTING AND PARTICIPANTS

Sixteen municipalities were included in the study area: eight are part of the so-called "traditional" geothermal area, defined as Northern Geothermal Area (NGA) and eight located in the Amiata Mountain defined as Southern Geothermal Area (SGA). In 2000-2006, the average resident population in the overall area was approximately 43,000 inhabitants. Thirty-one geothermal power plants were active, with a production capacity of 811 MW, 5 of them with 88 MW located in the SGA. Statistical analyses on the entire geothermal area, NGA and SGA subareas, and the sixteen municipalities were performed.

MAIN OUTCOME MEASURES

Mortality data were obtained from Tuscany Regional Mortality Registry for the 1971-2006 period, analysing 60 causes of death, of interest for population health status or consistent with "Project SENTIERI" criteria. Hospital discharge records of residents in Tuscany Region in 2004-2006, anywhere admitted to hospital, were analyzed considering only the main diagnosis, excluding repeated admissions for the same cause. The causes taken into account are the same analysed for mortality were considered. Age-standardized mortality rates (TSDM) and the temporal trends of TSDM for four periods (1971-1979, 1980-1989, 1990-1999, 2000-2006) were computed. Age-standardized mortality/hospitalization ratios (SMR/SHR), with and without adjustment for the deprivation index based on 2001 census data, were calculated: mortality in the years 2000-2006 and hospitalization in 2004-2006. The expected number of events were computed using rates of residents in neighbouring municipalities (municipalities included in 50 km radius circle centred on the study area). Bayesian estimates of mortality/hospitalization ratios (BMR/BHR) at municipal level only and relating maps of the Bayesian risk estimators were elaborated. Congenital malformations (MC) were analysed using data from Tuscan Registry of Birth Defect in 1992-2006 period, relative to outcomes of pregnancies in women resident in the municipalities of study area, wherever the birth or termination of pregnancy occurred. The ratio between observed and expected cases (O/A), with expected defined according to regional rate, were calculated and O/A Bayesian estimates (BMR) are showed only at municipal level. The low weight and the males/females ratio at birth were analysed using data from Tuscany Birth Certificates, covering period 2001-2007, excluding births occurred in facilities outside Tuscany Region. For Low birth weight (< 2,500 grams), very low birth weight (< 1,500 grams), low birth weight in women with normal gestational age or greater than 36 weeks, gestational age less than 36 weeks, and the frequency of males, the observed/expected ratio was calculated, with the expected number defined according to regional rate.

RESULTS

ENVIRONMENTAL BACKGROUND: High levels of arsenic in drinking water distribution emerges as a critical element, so that several municipalities resorted to granting exemptions for the parameters laid down by the Legislative Decree in force (D.Lgs 31/01). However, during the final phase of the study, new blast systems activated in the SGA decreased the arsenic levels in the water supply, reaching values not requiring derogations, which, instead, are still effective in some NGA municipalities. Air quality data, from Tuscany Regional Agency for Environmental Protection-ARPAT, show that geothermal activities are able to affect air quality, especially with hydrogen sulphide in NGA, and hydrogen sulphide and mercury in SGA. A significant contribution to the presence of mercury in air is due to previous metallurgical sites. Although mercury levels are below WHO guideline values, in SGA nearby Siena, values were significantly higher than in other geothermal areas, because of power plant PC2 (turned off in July 2011) in Piancastagnaio municipality. The hydrogen sulphide concentration levels were generally lower than WHO reference values, with occasional excesses over guideline value for health protection (150 µg/m3 as average of the 24 hours). Olfactory pollution was more critic with values exceeding 7-10 µg/m3 range even in areas without geothermal plants.

RESULTS

POPULATION'S HEALTH STATUS: This study evaluated health status of resident population in geothermal areas analysing geographic and temporal distribution of mortality, hospitalization and reproductive health outcomes (congenital malformations, low birth weight, sex ratio among newborns). In both geothermal areas mortality rates steadily declined from 1971 to 2006, in males and females, in line with the regional trends. In 2000-2006 period, in the overall geothermal area a significant mortality excess was observed for all causes among males (2,312 deaths, 2,146 expected), but not among females, using as reference residents in neighbouring municipalities. The mortality excess among males was more evident for infectious diseases (25 deaths, 10 expected), especially tuberculosis (8 deaths, 2 expected), for respiratory diseases (218 deaths, 170 expected), in particular pneumoconiosis, including deaths from silicosis (51 deaths, 14 expected), and for nervous system diseases (72 deaths, 56 expected). Among females significant mortality excess for liver cirrhosis (35 deaths, 25 expected) emerged, while mortality from cardiovascular diseases and ischemic heart diseases were significantly lower than expected. In the NGA, mortality among men was lower than expected for all cancers (-15%), in particular for lung cancer (- 25%), while values significantly in excesses were observed for infectious diseases (11 observed, 4 expected) and respiratory diseases (90 observed, 73 expected), expecially pneumoconiosis (20 observed, 6 expected). Among females, significant mortality excesses for ovarian cancer (17 observed, 10 expected) and for circulatory disorders of brain (170 observed, 140 expected) resulted. In the SGA, mortality was more critical, accounting for majority of the excesses detected in overall Geothermal Area. In fact, only infectious diseases and pneumoconiosis were detected in excess in both the geothermal areas. In the SGA, excess of general mortality among males (1,431 deaths; 1,245 expected) but not among females emerged. Even for all cancers, an excess among males (505 deaths, 419 expected) was observed, in particular for cancer of stomach (53 deaths, 44 expected, not statistically significant after adjusting for DI), liver (39 deaths, 23 expected) and lung (124 deaths, 102 expected) cancer. Mortality in SGA was also in excess for respiratory diseases only among men (128 deaths, 97 expected), mostly due to silicosis (31 deaths, 8 expected), although steadily decreasing since 1971 as observed at regional level. Also tuberculosis resulted in excess in SGA (7 deaths, 1 expected). Among females acute respiratory disease mortality was significantly in excess (41 observed, 29 expected). Temporal trend showed a decline from the 70s to the 90s, with a rising trend in recent years in line with Tuscany region. It should be considered that pneumonia was the commonest cause of death of acute respiratory diseases, which allow for lower reliability of death certificate, especially among the elderly (> 64 years). Among females resident in SGA a mortality excess from digestive system diseases was observed (72 observed, 55 expected). The hospitalization in the overall Geothermal Area did not show any excess for all causes and all tumours in both genders. Statistically significant excesses for hospital admission from stomach cancer among males (49 observed, 38 expected) and females (42 observed, 28 expected), and from lymphohematopoietic tumours among females, particularly from lymphatic leukaemia (15 observed, 5 expected), were observed. As mortality analysis highlighted, also hospital admissions by geothermal areas and gender showed a worst picture in SGA than in NGA. In the latter, a significant excess of hospital admissions from all causes among females (1,357 observed, 1,284 expected) but not among males (1,193 observed, 1,141 expected) and an excess - close to statistical significance - from all tumours only among females (297 observed; 272 expected) were observed. Furthermore, statistically significant excesses of hospital admissions from digestive system diseases in both genders (M: 392 observed, 350 expected; F: 300 observed, 268 expected), from dementias (16 observed, 8 expected) and from lympho hematopoietic cancers among females, particularly from lymphatic leukaemia (9 observed, 2 expected), were observed. In the SGA, statistically significant excesses of hospital admissions for stomach cancer (M: 32 observed, 21 expected, not significant after adjusting by DI; F: 29 observed, 18 expected), for respiratory diseases (M: 408 observed, 351 expected; F: 339 observed, 277 expected) and for renal failure (M: 61 observed, 41 expected; F: 52 observed, 34 expected) were observed in both genders. (ABSTRACT TRUNCATED)

[The global medical record + (DMG+), tool for prevention in first line care]

The "global medical record +" can be offered to all 45 to 75 year-old patients in the form of a prevention module within the global medical record and which the general practitioner and the patient will regularly update. It will include in particular an assessment of cardiovascular risk, cervical, breast and colon cancer screening, a check of main adult vaccinations, as well as a primary prevention section focused on smoking, alcohol consumption and various hygiene and dietary measures. The inclusion of this module in a computerized medical record will make it more efficient and will lighten the practitioner's workload.

Merging of the National Cancer Institute-funded cooperative oncology group data with an administrative data source to develop a more effective platform for clinical trial analysis and comparative effectiveness research: a report from the Children's Oncology Group

PURPOSE

The National Cancer Institute-funded cooperative oncology group trials have improved overall survival for children with cancer from 10% to 85% and have set standards of care for adults with malignancies. Despite these successes, cooperative oncology groups currently face substantial challenges. We are working to develop methods to improve the efficiency and effectiveness of these trials. Specifically, we merged data from the Children's Oncology Group (COG) and the Pediatric Health Information Systems (PHIS) to improve toxicity monitoring, to estimate treatment-associated resource utilization and costs, and to address important clinical epidemiology questions.

METHODS

COG and PHIS data on patients enrolled on a phase III COG trial for de novo acute myeloid leukemia at 43 PHIS hospitals were merged using a probabilistic algorithm. Resource utilization summary statistics were then tabulated for the first chemotherapy course based on PHIS data.

RESULTS

Of 416 patients enrolled on the phase III COG trial at PHIS centers, 392 (94%) were successfully matched. Of these, 378 (96%) had inpatient PHIS data available beginning at the date of study enrollment. For these, daily blood product usage and anti-infective exposures were tabulated and standardized costs were described.

CONCLUSIONS

These data demonstrate that patients enrolled in a cooperative group oncology trial can be successfully identified in an administrative data set and that supportive care resource utilization can be described. Further work is required to optimize the merging algorithm, map resource utilization metrics to the National Cancer Institute Common Toxicity Criteria for monitoring toxicity, to perform comparative effectiveness studies, and to estimate the costs associated with protocol therapy.

Angiotensin receptor blockers and risk of cancer: cohort study among people receiving antihypertensive drugs in UK General Practice Research Database

OBJECTIVES

To investigate whether there is an association between use of angiotensin receptor blockers and risk of cancer.

DESIGN

Cohort study of risk of cancer in people treated with angiotensin receptor blockers compared with angiotensin converting enzyme (ACE) inhibitors. Effects were explored with time updated covariates in Cox models adjusted for age, sex, body mass index (BMI), diabetes and metformin/insulin use, hypertension, heart failure, statin use, socioeconomic status, alcohol, smoking, and calendar year. Absolute changes in risk were predicted from a Poisson model incorporating the strongest determinants of risk from the main analysis.

SETTING

UK primary care practices contributing to the General Practice Research Database.

PARTICIPANTS

377,649 new users of angiotensin receptor blockers or ACE inhibitors with at least one year of initial treatment.

MAIN OUTCOME MEASURES

Adjusted hazard ratios for all cancer and major site specific cancers (breast, lung, colon, prostate) by exposure to angiotensin receptor blockers and by cumulative duration of use.

RESULTS

Follow-up ended a median of 4.6 years after the start of treatment; 20,203 cancers were observed. There was no evidence of any increase in overall risk of cancer among those ever exposed to angiotensin receptor blockers (adjusted hazard ratio 1.03, 95% confidence interval 0.99 to 1.06, P = 0.10). For specific cancers, there was some evidence of an increased risk of breast and prostate cancer (1.11, 1.01 to 1.21, P = 0.02; and 1.10, 1.00 to 1.20, P = 0.04; respectively), which in absolute terms corresponded to an estimated 0.5 and 1.1 extra cases, respectively, per 1000 person years of follow-up among those with the highest baseline risk. Longer duration of treatment did not seem to be associated with higher risk (P>0.15 in each case). There was a decreased risk of lung cancer (0.84, 0.75 to 0.94), but no effect on colon cancer (1.02, 0.91 to 1.16).

CONCLUSIONS

Use of angiotensin receptor blockers was not associated with an increased risk of cancer overall. Observed increased risks for breast and prostate cancer were small in absolute terms, and the lack of association with duration of treatment meant that non-causal explanations could not be excluded.

Protecting count queries in study design

OBJECTIVE

Today's clinical research institutions provide tools for researchers to query their data warehouses for counts of patients. To protect patient privacy, counts are perturbed before reporting; this compromises their utility for increased privacy. The goal of this study is to extend current query answer systems to guarantee a quantifiable level of privacy and allow users to tailor perturbations to maximize the usefulness according to their needs.

METHODS

A perturbation mechanism was designed in which users are given options with respect to scale and direction of the perturbation. The mechanism translates the true count, user preferences, and a privacy level within administrator-specified bounds into a probability distribution from which the perturbed count is drawn.

RESULTS

Users can significantly impact the scale and direction of the count perturbation and can receive more accurate final cohort estimates. Strong and semantically meaningful differential privacy is guaranteed, providing for a unified privacy accounting system that can support role-based trust levels. This study provides an open source web-enabled tool to investigate visually and numerically the interaction between system parameters, including required privacy level and user preference settings.

CONCLUSIONS

Quantifying privacy allows system administrators to provide users with a privacy budget and to monitor its expenditure, enabling users to control the inevitable loss of utility. While current measures of privacy are conservative, this system can take advantage of future advances in privacy measurement. The system provides new ways of trading off privacy and utility that are not provided in current study design systems.

Defining care products to finance health care in the Netherlands

A case-mix project started in the Netherlands with the primary goal to define a complete set of health care products for hospitals. The definition of the product structure was completed 4 years later. The results are currently being used for billing purposes. This paper focuses on the methodology and techniques that were developed and applied in order to define the casemix product structure. The central research question was how to develop a manageable product structure, i.e., a limited set of hospital products, with acceptable cost homogeneity. For this purpose, a data warehouse with approximately 1.5 million patient records from 27 hospitals was build up over a period of 3 years. The data associated with each patient consist of a large number of a priori independent parameters describing the resource utilization in different stages of the treatment process, e.g., activities in the operating theatre, the lab and the radiology department. Because of the complexity of the database, it was necessary to apply advanced data analysis techniques. The full analyses process that starts from the database and ends up with a product definition consists of four basic analyses steps. Each of these steps has revealed interesting insights. This paper describes each step in some detail and presents the major results of each step. The result consists of 687 product groups for 24 medical specialties used for billing purposes.

Exploring nurses' perceptions of collecting and using HOBIC measures to guide clinical practice and improve care

Ontario's Health Outcomes for Better Information and Care (HOBIC) is designed to help organizations and nurses plan and evaluate care by comparing patient outcomes with historical data on similar cases. Yet, fewer than 15% of patients in a 2010 study were found to have complete admission and discharge data sets. This low utilization rate of HOBIC measures prompted the current qualitative study, in which nurses from three clinical settings in an academic teaching hospital were interviewed to gain their perceptions related to collecting and using HOBIC measures in practice. The objective was to identify factors that promote or impede the collection and use of HOBIC data in clinical practice to improve patient care and outcomes. Analysis of interview results produced four key themes related to (a) use of HOBIC measures to inform patient care, (b) collecting and documenting HOBIC measures, (c) HOBIC as an afterthought and "black hole" and (d) impediments to assessing and documenting HOBIC measures because of language barriers, patients' cognitive status and lack of time. Recommendations to improve uptake include developing, implementing and evaluating a communication and learning plan that promotes HOBIC's values and benefits, and determining how managers and administrators perceive utilization of HOBIC at the clinical unit and organizational levels.

Secondary uses of electronic health record data: benefits and barriers

In the primary use of health data, patient health information in electronic health records (EHRs) directly informs each individual's care. In secondary use, patient data would be aggregated to improve health care delivery, yet several technological and policy barriers may slow implementation-but may be amenable to intervention.

Consistency of nurses' daily predictions of survival in the intensive care

In the Intensive Care Unit, clinicians are continuously faced with the difficult task of prognosis, but their predictions of patient survival status may not always be consistent. Specifically very little is known about consistency of predictions over time. The aim of this paper is to assess the consistency of nurses' daily predictions of survival in terms of inter-observer variance and variance of observers over time. We found a low consistency of these predictions between observers and over time, even though changes in the patients' condition are considered. Our findings have implications to the process of end-of-life decision-making, which pertains to withholding or withdrawing intensive care treatment.

COCPIT: a tool for integrated care pathway variance analysis

Electronic Health Record (EHR) data has the potential to track patients' journeys through healthcare systems. Many of those journeys are supposed to follow Integrated Care Pathways (ICPs) built on evidence based guidelines. An ICP for a particular condition sets out "what should happen", whereas the EHR records "what did happen". Variance analysis is the process by which the difference between expected and actual care is identified. By performing variance analysis over multiple patients, patterns of deviation from idealised care are revealed. The use of ICP variance analysis, however, is not as widespread as it could be in healthcare quality improvement processes - we argue that this is due to the difficulty of combining the required specialist knowledge and skills from different disciplines. COCPIT (Collaborative Online Care Pathway Investigation Tool) was developed to overcome this difficulty and provides clinicians and health service managers with a web-based tool for Care Pathway Variance Analysis.

Federated queries for comparative effectiveness research: performance analysis

This paper presents a study of the performance of federated queries implemented in a system that simulates the architecture proposed for the Scalable Architecture for Federated Translational Inquiries Network (SAFTINet). Performance tests were conducted using both physical hardware and virtual machines within the test laboratory of the Center for High Performance Computing at the University of Utah. Tests were performed on SAFTINet networks ranging from 4 to 32 nodes with databases containing synthetic data for several million patients. The results show that the caGrid FQE (Federated Query Engine) is capable and suitable for comparative effectiveness research (CER) federated queries given its nearly linear scalability as partner nodes increase in number. The results presented here are also important for the specification of the hardware required to run a CER grid.

Use of a health information exchange system in the emergency care of children

BACKGROUND

Children may benefit greatly in terms of safety and care coordination from the information sharing promised by health information exchange (HIE). While information exchange capability is a required feature of the certified electronic health record, we known little regarding how this technology is used in general and for pediatric patients specifically.

METHODS

Using data from an operational HIE effort in central Texas, we examined the factors associated with actual system usage. The clinical and demographic characteristics of pediatric ED encounters (n = 179,445) were linked to the HIE system user logs. Based on the patterns of HIE system screens accessed by users, we classified each encounter as: no system usage, basic system usage, or novel system usage. Using crossed random effects logistic regression, we modeled the factors associated with basic and novel system usage.

RESULTS

Users accessed the system for 8.7% of encounters. Increasing patient comorbidity was associated with a 5% higher odds of basic usage and 15% higher odds for novel usage. The odds of basic system usage were lower in the face of time constraints and for patients who had not been to that location in the previous 12 months.

CONCLUSIONS

HIE systems may be a source to fulfill users' information needs about complex patients. However, time constraints may be a barrier to usage. In addition, results suggest HIE is more likely to be useful to pediatric patients visiting ED repeatedly. This study helps fill an existing gap in the study of technological applications in the care of children and improves knowledge about how HIE systems are utilized.

Electronic prescribing within an electronic health record reduces ambulatory prescribing errors

BACKGROUND

Health policy forces are promoting the adoption of interoperable electronic health records (EHRs) with electronic prescribing (e-prescribing). Despite the promise of EHRs with e-prescribing to improve medication safety in ambulatory care settings--where most prescribing occurs and where errors are common--few studies have demonstrated its effectiveness. A study was conducted to assess the effect of an e-prescribing system with clinical decision support, including checks for drug allergies and drug-drug interactions, that was integrated within an EHR on rates of ambulatory prescribing errors.

METHODS

In a prospective study using a nonrandomized, pre-post design with concurrent controls, 6 providers who used a commercial e-prescribing system were compared with 15 providers who remained paper-based from September 2005 through July 2008. Prescribing errors were identified by a standardized prescription and chart review.

RESULTS

Some 2,432 paper prescriptions at baseline and 2,079 prescriptions at one year were analyzed. Error rates for e-prescribing adopters decreased 1.5-fold--from 26.0 errors per 100 prescriptions at baseline (95% confidence interval [CI], 17.4-38.9) to 16.0 errors per 100 prescriptions at one year (95% CI, 12.7-20.2; p = .09). Error rates remained unchanged for nonadopters (37.3 per 100 prescriptions at baseline, 95% CI, 27.6-50.2, versus 38.4 per 100 prescriptions at one year, 95% CI 27.4-53.9; p = .54). Error rates for e-prescribing adopters were significantly lower than for nonadopters at one year (p < .001). Illegibility errors were high at baseline and eliminated by e-prescribing.

CONCLUSIONS

The preliminary findings from this small group of providers suggest that e-prescribing systems may decrease ambulatory prescribing errors, which are occurring at high rates among community-based providers.