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Biomedical subjects

Rainu Kaushal

Publications and source records attributed to Rainu Kaushal.

At least 19 recordsLinked to original sources

Prevention of pediatric medication errors by hospital pharmacists and the potential benefit of computerized physician order entry.

OBJECTIVES: The purpose of this work was to characterize medication errors and adverse drug events intercepted by a system of pediatric clinical pharmacists and to determine whether the addition of a computerized physician order entry system would improve medication safety. METHODS: The study included 16,938 medication orders for 678 admissions to the pediatric units of a large academic community hospital. Pediatric clinical pharmacists reviewed medication orders and monitored subsequent medication use. Medication errors and adverse drug events were identified by daily review of documentation, voluntary reporting, and solicitation. Each potentially harmful medication error was judged whether or not it was intercepted and, if not, whether it would have been captured by a computerized physician order entry system. RESULTS: Overall, 865 medication errors occurred, corresponding with a rate of 5.2 per 100 medication orders. A near-miss rate of 0.96% and a preventable adverse drug event rate of 0.09% were observed. Overall, 78% of potentially harmful prescribing errors were intercepted; however, none of the potentially harmful errors occurring at administration was intercepted and accounted for 50% of preventable adverse drug events. A computerized physician order entry system could capture additional potentially harmful prescribing and transcription errors (54%-73%) but not administration errors (0% vs 6%). CONCLUSIONS: A system of pediatric clinical pharmacists effectively intercepted inpatient prescribing errors but did not capture potentially harmful medication administration errors. The addition of a computerized physician order entry system to pharmacists is unlikely to prevent administration errors, which pose the highest risk of patient injury.

Child↗

To what extent do pediatricians accept computer-based dosing suggestions?

OBJECTIVE: Pediatric medication errors occur frequently among hospitalized patients and are often related to dosing. Computerized physician order entry systems with decision support can decrease dosing errors, as well as other types of errors; however, their use in pediatrics has not been extensively studied. Our objective was to determine physician acceptance of dosing and frequency decision support elements in an inpatient pediatric computerized physician order entry system at 1 academic medical center. PATIENTS AND METHODS: We performed a retrospective analysis of all electronic medication orders entered for pediatric inpatients at a large, urban teaching hospital between April 15, 2004, and December 31, 2004. Rates of physician acceptance of computerized physician order entry system-generated dosing and frequency suggestions were determined. RESULTS: We analyzed 54,413 orders in the computerized physician order entry system, of which 27,313 orders had dosing or frequency decision support. Of the orders with decision support, approximately one third (8822) were accepted exactly by prescribers. Of the 18,491 remaining orders, 8708 were changed for dose, 2466 for frequency, and 7317 for both. Among the 18,491 orders that were changed, the majority 11,322 deviated by a substantial amount (>50%) from the total daily dose initially suggested by the decision support feature. Overall, patient weight was missing 31.3% of the time, although patient age alone sometimes was sufficient for the computer to make a dosing suggestion. CONCLUSIONS: Although dosing-decision support systems have the potential to improve care, more work needs to be done to determine and optimize their effectiveness. Commercial vendors of dosing knowledge bases need to deliver effective products, because most health care organizations will not have the resources to customize decision support rules.

Adolescent↗

Correlates of electronic health record adoption in office practices: a statewide survey.

OBJECTIVE: Despite emerging evidence that electronic health records (EHRs) can improve the efficiency and quality of medical care, most physicians in office practice in the United States do not currently use an EHR. We sought to measure the correlates of EHR adoption. DESIGN: Mailed survey to a stratified random sample of all medical practices in Massachusetts in 2005, with one physician per practice randomly selected for survey. MEASUREMENTS: EHR adoption rates. RESULTS: The response rate was 71% (1345/1884). Overall, while 45% of physicians were using an EHR, EHRs were present in only 23% of practices. In multivariate analysis, practice size was strongly correlated with EHR adoption; 52% of practices with 7 or more physicians had an EHR, as compared with 14% of solo practices (adjusted odds ratio, 3.66; 95% confidence interval, 2.28-5.87). Hospital-based practices (adjusted odds ratio, 2.44; 95% confidence interval, 1.53-3.91) and practices that teach medical students or residents (adjusted odds ratio, 2.30; 95% confidence interval, 1.60-3.31) were more likely to have an EHR. The most frequently cited barriers to adoption were start-up financial costs (84%), ongoing financial costs (82%), and loss of productivity (81%). CONCLUSIONS: While almost half of physicians in Massachusetts are using an EHR, fewer than one in four practices in Massachusetts have adopted EHRs. Adoption rates are lower in smaller practices, those not affiliated with hospitals, and those that do not teach medical students or residents. Interventions to expand EHR use must address both financial and non-financial barriers, especially among smaller practices.

Attitude to Computers↗

Return on investment for a computerized physician order entry system.

OBJECTIVE: Although computerized physician order entry (CPOE) may decrease errors and improve quality, hospital adoption has been slow. The high costs and limited data on financial benefits of CPOE systems are a major barrier to adoption. The authors assessed the costs and financial benefits of the CPOE system at Brigham and Women's Hospital over ten years. DESIGN: Cost and benefit estimates of a hospital CPOE system at Brigham and Women's Hospital (BWH), a 720-adult bed, tertiary care, academic hospital in Boston. MEASUREMENTS: Institutional experts provided data about the costs of the CPOE system. Benefits were determined from published studies of the BWH CPOE system, interviews with hospital experts, and relevant internal documents. Net overall savings to the institution and operating budget savings were determined. All data are presented as value figures represented in 2002 dollars. RESULTS: Between 1993 and 2002, the BWH spent $11.8 million to develop, implement, and operate CPOE. Over ten years, the system saved BWH $28.5 million for cumulative net savings of $16.7 million and net operating budget savings of $9.5 million given the institutional 80% prospective reimbursement rate. The CPOE system elements that resulted in the greatest cumulative savings were renal dosing guidance, nursing time utilization, specific drug guidance, and adverse drug event prevention. The CPOE system at BWH has resulted in substantial savings, including operating budget savings, to the institution over ten years. CONCLUSION: Other hospitals may be able to save money and improve patient safety by investing in CPOE systems.

Academic Medical Centers↗

Assessing the level of healthcare information technology adoption in the United States: a snapshot.

BACKGROUND: Comprehensive knowledge about the level of healthcare information technology (HIT) adoption in the United States remains limited. We therefore performed a baseline assessment to address this knowledge gap. METHODS: We segmented HIT into eight major stakeholder groups and identified major functionalities that should ideally exist for each, focusing on applications most likely to improve patient safety, quality of care and organizational efficiency. We then conducted a multi-site qualitative study in Boston and Denver by interviewing key informants from each stakeholder group. Interview transcripts were analyzed to assess the level of adoption and to document the major barriers to further adoption. Findings for Boston and Denver were then presented to an expert panel, which was then asked to estimate the national level of adoption using the modified Delphi approach. We measured adoption level in Boston and Denver was graded on Rogers' technology adoption curve by co-investigators. National estimates from our expert panel were expressed as percentages. RESULTS: Adoption of functionalities with financial benefits far exceeds adoption of those with safety and quality benefits. Despite growing interest to adopt HIT to improve safety and quality, adoption remains limited, especially in the area of ambulatory electronic health records and physician-patient communication. Organizations, particularly physicians' practices, face enormous financial challenges in adopting HIT, and concerns remain about its impact on productivity. CONCLUSION: Adoption of HIT is limited and will likely remain slow unless significant financial resources are made available. Policy changes, such as financial incentivesto clinicians to use HIT or pay-for-performance reimbursement, may help health care providers defray upfront investment costs and initial productivity loss.

Attitude of Health Personnel↗

Pediatric medication safety and the media: what does the public see?

BACKGROUND: In the safety community, it is widely thought that a culture of safety is required to achieve high levels of safety. However, the press tends to report accidents, which are negative by their nature. Pediatric cases are often especially tragic. Relatively few data have been available on the role that the media play in forming opinions about patient safety and the subsequent impact on the culture of safety. METHODS: To address these issues, we analyzed newspaper coverage of pediatric medication errors and adverse drug events. We searched Lexis Nexis for newspaper articles on pediatric medication safety from the United States, Canada, United Kingdom, Australia, and Ireland, during a 10-year period (1994-2004), by using specific keywords. Main outcome measures were the number of articles (adjusted for population), the type of events covered, and article slant. We also examined qualitatively the overall themes and the extent to which these articles portrayed a culture of safety to the public. RESULTS: Throughout the world, there was a steady increase in articles on pediatric medication safety, peaking in 2003, with the highest per-capita rate in Canada. Approximately 65% of articles were about patient incidents, 20% mentioned policy, and 25% discussed research. Of the reported events judged to be negative for patient safety, 75% were covered in a neutral manner and 19% were covered in an unduly negative manner. CONCLUSIONS: Media coverage of pediatric medication safety has increased in the past 10 years. Reporting of patient safety failures was generally fair, and reports were generally framed in light of a culture of safety.

Child↗

The costs of a national health information network.

BACKGROUND: The use of information technology may result in a safer and more efficient health care system. However, consensus does not exist about the structure or costs of a national health information network (NHIN). OBJECTIVES: To describe the potential structure and estimate the costs of an NHIN. DESIGN: Cost estimates of an NHIN model developed by an expert panel. SETTING: U.S. health care system. MEASUREMENTS: An expert panel estimated the existing and the expected prevalence in 5 years of critical information technology functionalities. They then developed a model of an achievable NHIN by defining key providers, functionalities, and interoperability functions. By using these data and published cost estimates, the authors determined the cost of achieving this model NHIN in 5 years given the current state of information technology infrastructure. RESULTS: To achieve an NHIN would cost 156 billion dollars in capital investment over 5 years and 48 billion dollars in annual operating costs. Approximately two thirds of the capital costs would be required for acquiring functionalities and one third for interoperability. Ongoing costs would be more evenly divided between functionality and interoperability. If the current trajectory continues, the health care system will spend 24 billion dollars on functionalities over the next 5 years or about one quarter of the cost for functionalities of a model NHIN. LIMITATIONS: Because of a lack of primary data, the authors relied on expert estimates. CONCLUSIONS: While an NHIN will be expensive, 156 billion dollars is equivalent to 2% of annual health care spending for 5 years. Assessments such as this one may assist policymakers in determining the level of investment that the United States should make in an NHIN.

Health Expenditures↗

A draft framework for measuring progress towards the development of a National Health Information Infrastructure.

BACKGROUND: American public policy makers recently established the goal of providing the majority of Americans with electronic health records by 2014. This will require a National Health Information Infrastructure (NHII) that is far more complete than the one that is currently in its formative stage of development. We describe a conceptual framework to help measure progress toward that goal. DISCUSSION: The NHII comprises a set of clusters, such as Regional Health Information Organizations (RHIOs), which, in turn, are composed of smaller clusters and nodes such as private physician practices, individual hospitals, and large academic medical centers. We assess progress in terms of the availability and use of information and communications technology and the resulting effectiveness of these implementations. These three attributes can be studied in a phased approach because the system must be available before it can be used, and it must be used to have an effect. As the NHII expands, it can become a tool for evaluating itself. SUMMARY: The NHII has the potential to transform health care in America--improving health care quality, reducing health care costs, preventing medical errors, improving administrative efficiencies, reducing paperwork, and increasing access to affordable health care. While the President has set an ambitious goal of assuring that most Americans have electronic health records within the next 10 years, a significant question remains "How will we know if we are making progress toward that goal?" Using the definitions for "nodes" and "clusters" developed in this article along with the resulting measurement framework, we believe that we can begin a discussion that will enable us to define and then begin making the kinds of measurements necessary to answer this important question.

Health Policy↗

Potential medication dosing errors in outpatient pediatrics.

OBJECTIVE: To determine the prevalence of potential dosing errors of medication dispensed to children for 22 common medications. STUDY DESIGN: Using automated pharmacy data from 3 health maintenance organizations (HMOs), we randomly selected up to 120 children with a new dispensing prescription for each drug of interest, giving 1933 study subjects. Errors were defined as potential overdoses or potential underdoses. Error rate in 2 HMOs that use paper prescriptions was compared with 1 HMO that uses an electronic prescription writer. RESULTS: Approximately 15% of children were dispensed a medication with a potential dosing error: 8% were potential overdoses and 7% were potential underdoses. Among children weighing <35 kg, only 67% of doses were dispensed within recommended dosing ranges, and more than 1% were dispensed at more than twice the recommended maximum dose. Analgesics were most likely to be potentially overdosed (15%), whereas antiepileptics were most likely potentially underdosed (20%). Potential error rates were not lower at the site with an electronic prescription writer. CONCLUSIONS: Potential medication dosing errors occur frequently in outpatient pediatrics. Studies on the clinical impact of these potential errors and effective error prevention strategies are needed.

Adolescent↗

The Critical Care Safety Study: The incidence and nature of adverse events and serious medical errors in intensive care.

OBJECTIVE: Critically ill patients require high-intensity care and may be at especially high risk of iatrogenic injury because they are severely ill. We sought to study the incidence and nature of adverse events and serious errors in the critical care setting. DESIGN: We conducted a prospective 1-year observational study. Incidents were collected with use of a multifaceted approach including direct continuous observation. Two physicians independently assessed incident type, severity, and preventability as well as systems-related and individual performance failures. SETTING: Academic, tertiary-care urban hospital. PATIENTS: Medical intensive care unit and coronary care unit patients. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary outcomes of interest were the incidence and rates of adverse events and serious errors per 1000 patient-days. A total of 391 patients with 420 unit admissions were studied during 1490 patient-days. We found 120 adverse events in 79 patients (20.2%), including 66 (55%) nonpreventable and 54 (45%) preventable adverse events as well as 223 serious errors. The rates per 1000 patient-days for all adverse events, preventable adverse events, and serious errors were 80.5, 36.2, and 149.7, respectively. Among adverse events, 13% (16/120) were life-threatening or fatal; and among serious errors, 11% (24/223) were potentially life-threatening. Most serious medical errors occurred during the ordering or execution of treatments, especially medications (61%; 170/277). Performance level failures were most commonly slips and lapses (53%; 148/277), rather than rule-based or knowledge-based mistakes. CONCLUSIONS: Adverse events and serious errors involving critically ill patients were common and often potentially life-threatening. Although many types of errors were identified, failure to carry out intended treatment correctly was the leading category.

Aged↗

The who, what, and why of risk adjustment: a technology on the cusp of adoption.

Risk adjustment (RA) consists of a series of techniques that account for the health status of patients when predicting or explaining costs of health care for defined populations or for evaluating retrospectively the performance of providers who care for them. Although the federal government seems to have settled on an approach to RA for Medicare Advantage programs, adoption and implementation of RA techniques elsewhere have proceeded much more slowly than was anticipated. This article examines factors affecting the adoption and use of RA outside the Medicare program using case studies in six U.S. health care markets (Baltimore, Seattle, Denver, Cleveland, Phoenix, and Atlanta) as of 2001. We found that for purchasing decisions, RA was used exclusively by public agencies. In the private sector, use of risk adjustment was uncommon and scattered and assumed informal and unexpected forms. The most common private sector use of RA was by health plans, which occasionally employed RA in negotiations with purchasers or to allocate resources internally among providers. The article uses classic technology diffusion theory to explain the adoption and use of RA in these six markets and derives lessons for health policy generally and for the future of RA in particular. For health policy generally, the differing experiences of public and private actors with RA serve as markers of the divergent paths that public and private health care sectors are pursuing with respect to managed care and risk sharing. For the future of RA in particular, its history suggests the need for health service researchers to consider barriers to use adoption and new analytic technologies as they develop them.

Diffusion of Innovation↗

Effect of reducing interns' work hours on serious medical errors in intensive care units.

BACKGROUND: Although sleep deprivation has been shown to impair neurobehavioral performance, few studies have measured its effects on medical errors. METHODS: We conducted a prospective, randomized study comparing the rates of serious medical errors made by interns while they were working according to a traditional schedule with extended (24 hours or more) work shifts every other shift (an "every third night" call schedule) and while they were working according to an intervention schedule that eliminated extended work shifts and reduced the number of hours worked per week. Incidents were identified by means of a multidisciplinary, four-pronged approach that included direct, continuous observation. Two physicians who were unaware of the interns' schedule assignments independently rated each incident. RESULTS: During a total of 2203 patient-days involving 634 admissions, interns made 35.9 percent more serious medical errors during the traditional schedule than during the intervention schedule (136.0 vs. 100.1 per 1000 patient-days, P<0.001), including 56.6 percent more nonintercepted serious errors (P<0.001). The total rate of serious errors on the critical care units was 22.0 percent higher during the traditional schedule than during the intervention schedule (193.2 vs. 158.4 per 1000 patient-days, P<0.001). Interns made 20.8 percent more serious medication errors during the traditional schedule than during the intervention schedule (99.7 vs. 82.5 per 1000 patient-days, P=0.03). Interns also made 5.6 times as many serious diagnostic errors during the traditional schedule as during the intervention schedule (18.6 vs. 3.3 per 1000 patient-days, P<0.001). CONCLUSIONS: Interns made substantially more serious medical errors when they worked frequent shifts of 24 hours or more than when they worked shorter shifts. Eliminating extended work shifts and reducing the number of hours interns work per week can reduce serious medical errors in the intensive care unit.

Humans↗

Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review.

BACKGROUND: Iatrogenic injuries related to medications are common, costly, and clinically significant. Computerized physician order entry (CPOE) and clinical decision support systems (CDSSs) may reduce medication error rates. METHODS: We identified trials that evaluated the effects of CPOE and CDSSs on medication safety by electronically searching MEDLINE and the Cochrane Library and by manually searching the bibliographies of retrieved articles. Studies were included for systematic review if the design was a randomized controlled trial, a nonrandomized controlled trial, or an observational study with controls and if the measured outcomes were clinical (eg, adverse drug events) or surrogate (eg, medication errors) markers. Two reviewers extracted all the data. Discussion resolved any disagreements. RESULTS: Five trials assessing CPOE and 7 assessing isolated CDSSs met the criteria. Of the CPOE studies, 2 demonstrated a marked decrease in the serious medication error rate, 1 an improvement in corollary orders, 1 an improvement in 5 prescribing behaviors, and 1 an improvement in nephrotoxic drug dose and frequency. Of the 7 studies evaluating isolated CDSSs, 3 demonstrated statistically significant improvements in antibiotic-associated medication errors or adverse drug events and 1 an improvement in theophylline-associated medication errors. The remaining 3 studies had nonsignificant results. CONCLUSIONS: Use of CPOE and isolated CDSSs can substantially reduce medication error rates, but most studies have not been powered to detect differences in adverse drug events and have evaluated a small number of "homegrown" systems. Research is needed to evaluate commercial systems, to compare the various applications, to identify key components of applications, and to identify factors related to successful implementation of these systems.

Cost-Benefit Analysis↗

Prioritizing strategies for preventing medication errors and adverse drug events in pediatric inpatients.

OBJECTIVES: Medication errors in pediatric inpatients occur at similar rates as in adults but have 3 times the potential to cause harm. Error prevention strategies in this setting remain largely untested. The objective of this study was to classify the major types of medication errors in pediatric inpatients and to determine which strategies might most effectively prevent them. METHODS: A prospective cohort study was conducted of 1020 patients who were admitted to 2 academic medical centers during a 6-week period in April and May 1999. Medication errors were characterized by subtype. Physician raters evaluated error prevention strategies and identified those that might be most effective in preventing errors. RESULTS: Of 10 778 medication orders reviewed, 616 contained errors. Of these, 120 (19.5%) were classified as potentially harmful, including 115 potential adverse drug events (18.7%) and 5 preventable adverse drug events (0.8%). Most errors occurred at the ordering stage (74%) and involved errors in dosing (28%), route (18%), or frequency (9%). Three interventions might have prevented most potentially harmful errors: 1) computerized physician order entry with clinical decision support systems (76%); 2) ward-based clinical pharmacists (81%); and 3) improved communication among physicians, nurses, and pharmacists (86%). Interrater reliability of error prevention strategy assignment was good (agreement: 0.92; kappa: 0.82). CONCLUSIONS: Of the assessed interventions, computerized physician order entry with clinical decision support systems; ward-based clinical pharmacists; and improved communication among physicians, nurses, and pharmacists had the greatest potential to reduce medication errors in pediatric inpatients. Development, implementation, and assessment of such interventions in the pediatric inpatient setting are needed.

Adult↗

Creating an enterprise-wide allergy repository at Partners HealthCare System.

A significant fraction of medication errors and preventable adverse drug events are related to drug-allergy interactions (DAIs). Computerized prescribing can help prevent DAIs, but an accurate record of the patient's allergies is required. At Partners HealthCare System in Boston, the patient's allergy list is distributed across several applications including computer physician order entry (CPOE), the outpatient medical record, pharmacy applications, and nurse charting applications. Currently, each application has access only to its own allergy data. This paper presents details of a project designed to integrate the various allergy repositories at Partners. We present data documenting that patients have allergy data stored in multiple repositories. We give detail about issues we are encountering such as which applications should participate in the repository, whether "NKA" or "NKDA" should be used to document known absence of allergies, and which personnel should be allowed to enter allergies. The issues described in this paper may well be faced by other initiatives intended to create comprehensive allergy repositories.

Boston↗

Defining the priorities and challenges for the adoption of Information Technology in HealthCare: opinions from an expert panel.

The Harvard Interfaculty Initiative developed a tool to assess the level of Information Technology adoption at healthcare organizations and asked an expert panel to rate the clinical functions where IT-based solutions can impact quality of care. The experts were asked to identify high priority areas where IT might impact quality, and to rate the difficulty in implementation associated with that solution. While scores from the expert panel varied widely in assessing difficulties in implementation of IT, there was broad consensus on high priority areas.

Delivery of Health Care↗

Overcoming the barriers to the implementing computerized physician order entry systems in US hospitals: perspectives from senior management.

We sought to identify the barriers to CPOE implementation and the strategies for overcoming them. By analyzing 57 transcripts of interviews with management officials at 25 US hospitals, we identified costs and physician resistance as the two most significant barriers. Hospitals often overcome the high cost of CPOE implementation by placing patient safety at the top of their agenda. Other hospitals manage physician resistance by leveraging strong leadership, external influence, vendor commitment and the presence of house staff and hospitalists. Efforts to promote the adoption of CPOE should therefore focus on these strategies.

Costs and Cost Analysis↗