1,342 research outputs found

    Actionable Patient Safety Solution (APSS) #3D: Pediatric Adverse Drug Events

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    This report presents a plan of action for introducing a program to reduce the incidence of pediatric adverse drug events (pADEs) and harm ... [that] combine[s] leadership strategies, software (healthcare IT), hardware (drug compounding systems, drug delivery technology, and physiological monitoring systems), and most importantly people (changes in clinical practice, protocols and education) to protect pediatric patients

    Medication safety in intravenous drug administration : error causes and systemic defenses in hospital setting

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    Intravenous administration of drugs is associated with the highest medication error frequencies and more serious consequences to the patient than any other administration route. The bioavailability of intravenously administered medication is high, the therapeutic dose range is often narrow, and effects are hard to undo. Many intravenously administered drugs are high-alert medications, bearing a heightened risk of causing significant patient harm if used in error. Smart infusion pumps with dose error-reduction software can be used to prevent harmful medication errors in high-risk clinical settings, such as neonatal intensive care units. This study investigated intravenous medication safety in hospital settings by identifying recent research evidence related to systemic causes of medication errors (Study I) and systemic defenses to prevent these errors (Study II). The study also explored the development of dose-error reduction software in a neonatal intensive care unit (Study III). A systems approach to medication risk management based on the Theory of Human Error was applied as a theoretical framework. The study was conducted in two phases. In the first phase, a systematic review of recent research evidence on systemic causes of intravenous medication errors (Study I) and systemic defenses aiming to prevent these errors (Study II) was carried out. In Study I, 11 studies from six countries were included in the analysis. Systemic causes related to prescribing (n=6 studies), preparation (n=6), administration (n=6), dispensing and storage (n=5) and treatment monitoring (n=2) were identified. Insufficient actions to secure safe use of high-alert medications, lack of knowledge of the drug, failures in calculation tasks and in double-checking procedures, and confusion between look-alike, sound-alike medications were the leading causes of intravenous medication errors. The number of the included studies was limited, all of them being observational studies and graded as low quality. In Study II, 46 studies from 11 countries were included in the analysis. Systemic defenses related to administration (n=24 studies), prescribing (n=8), preparation (n=6), treatment monitoring (n=2), and dispensing (n=1) were identified. In addition, five studies explored defenses related to multiple stages of the medication use process. Defenses including features of closed-loop medication management systems appeared in 61% of the studies, smart pumps being the defense most widely studied (24%). The evidence quality of the included articles was limited, as 83% were graded as low quality, 13% moderate quality, and only 4% high quality. A mixed-methods study was conducted in the second phase, applying qualitative and quantitative methods (Study III). Medication error reports were used to develop simulation-type test cases to assess the suitability of dosing limits in a neonatal intensive care unit’s smart infusion pump drug library. Of all medication errors reported in the neonatal intensive care unit, 3.5% (n=21/601) involved an error or near-miss related to wrong infusion rate. Based on the identified error mechanisms, 2-, 5-, and 10-fold infusion rates and mix-ups between infusion rates of different drugs were established as test cases. When conducting the pump programming for the test cases (n=226), no alerts were triggered with infusion rates responding to the usual dosages (n=32). Of the erroneous 2-, 5-, and 10-fold infusion rates, 73% (n = 70/96) caused an alert. Mix-ups between infusion rates triggered an alert only in 24% (n=24/98) of the test cases. This study provided an overview of recent research evidence related to intravenous medication safety in hospital settings. Current intravenous medication systems remain vulnerable, which can result in patient harm. While in-hospital intravenous medication use processes are developing towards closed-loop medication management systems, combinations of different defenses and their effectiveness in error prevention should be explored. In addition to improved medication safety, implementing new systemic defenses leads to new error types, emphasizing the importance of continuous proactive risk management as an essential part of clinical practice.Laskimonsisäiseen lääkkeen annosteluun liittyy merkittävä lääkityspoikkeamien ja vakavien haittatapahtumien riski. Sairaaloissa käytetään useita laskimoon annosteltavia suuren riskin lääkkeitä, joiden virheellinen käyttö johtaa muita lääkkeitä todennäköisemmin vakaviin haittoihin. Tässä tutkimuksessa tunnistettiin järjestelmällisen kirjallisuuskatsauksen perusteella lääkityspoikkeamien järjestelmälähtöisiä syitä (osatyö I) sekä lääkehoitoprosessin suojauksia (osatyö II). Lisäksi tutkittiin älyinfuusiopumppujen käyttöönottoa vastasyntyneiden teho-osastolla. Teoreettisena viitekehyksenä käytettiin inhimillisen erehdyksen teoriaa ja järjestelmänäkökulmaa lääkehoitoprosessin riskien hallinnassa. Osatyön I aineistosta (n=11 tutkimusta) tunnistettiin lääkityspoikkeamien syntyyn vaikuttavia järjestelmälähtöisiä syitä, jotka liittyivät lääkehoidon määräämiseen (n=6), käyttökuntoon saattoon (n=6), antoon (n=6), jakeluun ja varastointiin (n=5) sekä seurantaan (n=2). Yleisimpiä syitä olivat riittämättömät toimenpiteet suuren riskin lääkkeiden turvallisen käytön varmistamisessa, ammattilaisten heikot tiedot lääkkeistä, virheet laskutoimituksissa ja kaksoistarkistuksissa sekä toisiltaan näyttävien ja kuulostavien lääkkeiden sekaantuminen keskenään. Osatyön II aineistossa (n=46 tutkimusta) kuvattiin lääkehoitoprosessin suojauksia, jotka liittyivät lääkkeiden annosteluun (n=24), määräämiseen (n=8), käyttökuntoon saattoon (n=6), hoidon seurantaan (n=2) ja jakeluun (n=1). Lisäksi viidessä tutkimuksessa kuvattiin useaan lääkehoitoprosessin vaiheeseen liittyviä suojauksia. Katkeamattoman lääkehoitoprosessin piirteitä tunnistettiin 61 prosentissa tutkimuksista ja älyinfuusiopumput olivat eniten tutkittu suojaus (24 %). Osatyö III toteutettiin monimenetelmätutkimuksena. Vastasyntyneiden teho-osastolla raportoitujen lääkityspoikkeamien pohjalta kehitettiin simulaatiotyyppisiä testitapauksia, joilla arvioitiin annosrajojen sopivuutta älyinfuusiopumppujen lääkekirjastoon. Lääkityspoikkeamista 3,5 % (n=21/601) liittyi väärään infuusionopeuteen ja niiden perusteella testitapauksiksi määritettiin 2-, 5- ja 10-kertaiset infuusionopeudet sekä eri lääkkeiden antonopeuksien sekaantuminen keskenään. Testitapauksissa (n=226) infuusiopumput eivät hälyttäneet tavanomaisia nopeuksia ohjelmoitaessa (n=32), mutta virheellisistä infuusionopeuksista 73 % (n=70/96) aiheutti hälytyksen. Nopeuksien sekaantuminen keskenään laukaisi hälytyksen vain 24 %:ssa (n=24/98) testitapauksista. Sairaaloiden laskimonsisäinen lääkehoitoprosessi kehittyy kohti katkeamatonta lääkehoitoprosessia, mutta se on edelleen altis lääkityspoikkeamille. Kirjallisuuskatsauksiin sisällytettyjen tutkimusten laatu oli pääosin heikko, joten lääkityspoikkeamien riskitekijöitä ja suojauksia tulee edelleen tutkia yhä laadukkaammissa tutkimusasetelmissa. Uusien suojausten käyttöönotto muuttaa myös riskikohtia, mikä korostaa ennakoivan riskienhallinnan merkitystä osana sairaaloiden toimintaa

    Intravenous infusion practices across England and their impact on patient safety: a mixed-methods observational study

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    BACKGROUND: Intravenous (IV) medication administration has traditionally been regarded to be error-prone with high potential for harm. A recent US multisite study revealed surprisingly few potentially harmful errors despite a high overall error rate. However, there is limited evidence about infusion practices in England and how they relate to prevalence and types of error. OBJECTIVES: To determine the prevalence, types and severity of errors and discrepancies in infusion administration in English hospitals, and to explore sources of variation in errors, discrepancies and practices, including the contribution of smart pumps. DESIGN: Phase 1 comprised an observational point-prevalence study of IV infusions, with debrief interviews and focus groups. Observers compared each infusion against the medication order and local policy. Deviations were classified as either errors or discrepancies based on their potential for patient harm. Contextual issues and reasons for deviations were explored qualitatively during observer debriefs, and analytically in supplementary analyses. Phase 2 comprised in-depth observational studies at five of the participating sites to better understand causes of error and how safety is maintained. Workshops were held with key stakeholder groups, including health professionals and policy-makers, the public and industry. SETTING: Sixteen English NHS hospital trusts. RESULTS: Point-prevalence data were collected from 1326 patients and 2008 infusions. In total, 240 errors were observed in 231 infusions and 1489 discrepancies were observed in 1065 infusions. Twenty-three errors (1.1% of all infusions) were considered potentially harmful; one might have resulted in short-term patient harm had it not been intercepted, but none was judged likely to prolong hospital stay or result in long-term harm. Types and prevalence of deviations varied widely among trusts, as did local policies. Deviations from medication orders and local policies were sometimes made for efficiency or to respond to patient need. Smart pumps, as currently implemented, had little effect. Staff had developed practices to manage efficiency and safety pragmatically by working around systemic challenges. LIMITATIONS: Local observers may have assessed errors differently across sites, although steps were taken to minimise differences through observer training, debriefs, and review and cleaning of data. Each in-depth study involved a single researcher, and these were limited in scale and scope. CONCLUSIONS: Errors and discrepancies are common in everyday infusion administration but most have low potential for patient harm. Findings are best understood by viewing IV infusion administration as a complex adaptive system. Better understanding of performance variability to strategically manage risk may be more helpful for improving patient safety than striving to eliminate all deviations. FUTURE WORK: There is potential value in reviewing policy around IV infusion administration to reduce unnecessary variability, manage staff workload and engage patients, while retaining the principle that policy has to be fit for purpose, contextualised to the particular ward situation and treatment protocol, and sensitive to the risks of different medications. Further work on understanding infusion administration as a complex adaptive system might deliver new insights into managing patient safety. FUNDING: This project was funded by the NIHR Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 7. See the NIHR Journals Library website for further project information

    Safety Measures to Reduce Medication Administration Errors in Paediatric Intensive Care Unit

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    Objective: Medicine administration is the last process of the medication cycle. However, errors can happen during this process. Children are at an increased risk from these errors. This has been extensively investigated but evidence is lacking on effective interventions. Therefore, the aim of this research is to propose safety measures to reduce medication administration errors (MAE) in the Paediatric Intensive Care Unit (PICU). Method: The research was carried out over five studies; 1) systematic literature review, 2) national survey of PICU medication error interventions, 3) retrospective analysis of medication error incidents, 4) prospective observation of the administration practice, and 5) survey of PICU healthcare professionals’ opinions on MAE contributory factors and safety measures. Results: Hospital MAE in children found in literature accounted for a mean of 50% of all reported medication error reports (n= 12552). It was also identified in a mean of 29% of doses observed (n= 8894). This study found MAE retrospectively in 43% of all medication incidents (n= 412). Additionally, a total of 269 MAEs were observed (32% per dose observation). The characteristics of the interventions used to reduce MAE are diverse but it illustrated that a single approach is not enough. Also for an intervention to be a success it is fundamental to build a safety culture. This is achieved by developing a culture of collaborative learning from errors without assigning blame. Furthermore, MAE contributing factors were found to include; interruptions, inadequate resources, working conditions and no pre-prepared infusions. The following safety measures were proposed to reduce MAE; 1) dose banding, 2) improved lighting conditions, 3) decision support tool with calculation aid, 4) use of pre-prepared infusions, 5) enhance the double-checking process, 6) medicine administration checklist, and 7) an intolerant culture to interruption. Conclusion: This is one of the first comprehensive study of to explore MAE in PICU from different perspectives. The aim and objectives of the research were fulfilled. Future research includes the need to implement the proposed safety measures and evaluate them in practice

    Frontline Nursing Staff’s Perceptions of Intravenous Medication Administration: The First Step Toward Safer Infusion Processes-a Qualitative Study

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    OBJECTIVES: Intravenous medication errors continue to significantly impact patient safety and outcomes. This study sought to clarify the complexity and risks of the intravenous administration process. DESIGN: A qualitative focus group interview study. SETTING: Focused interviews were conducted using process mapping with frontline nurses responsible for medication administration in September 2020. PARTICIPANTS: Front line experiened nurses from a Japanese tertiary teaching hospital. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome measure was to identify the mental models frontline nurses used during intravenous medication administration, which influence their interactions with patients, and secondarily, to examine the medication process gaps between the mental models nurses perceive and the actual defined medication administration process. RESULTS: We found gaps between the perceived clinical administration process and the real process challenges with an emphasis on the importance of verifying to see if the drug was ordered for the patient immediately before its administration. CONCLUSIONS: This novel and applied improvement approach can help nurses and managers better understand the process vulnerability of the infusion process and develop a deeper understanding of the administration steps useful for reliably improving the safety of intravenous medications

    Systematic literature review of hospital medication administration errors in children

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    The Contributing Factors to Student Nurse Medication Administration Errors and Near Misses in the Clinical Setting as Identified By Clinical Instructors

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    The report, To Err is Human, by the Institutes of Medicine (IOM, 2000) brought attention to medication safety in the United States healthcare system. While advances have been made in patient safety, including electronic medication dispensing systems, electronic medication administration records, and scanning systems, it is estimated that 7,000 to 9,000 people die each year due to medication errors (Tariq et al., 2019). The medication administration process involves steps from prescribing to administration. However, nurses administering the medications are the final check point. James Reasons’ Swiss Cheese Model of Accident Causation illustrates the role that systems play in medical errors. The purpose of this dissertation is to determine the factors that contribute to undergraduate, prelicensure student nurse medication errors and near misses as identified by clinical instructors and the interventions that may help to mitigate these factors. The top 5 most common contributing factors of medication errors and near misses were ‘students having limited knowledge about medications,’ ‘the names of many medications are similar.’ ‘all medications for one team of patients cannot be passed within an accepted time frame,’ ‘the packaging of many medications is similar,’ and ‘students do not receive enough instruction on medications.’ The results have implications in nursing education and the potential to impact patient safety
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