Global Trigger Tool Research Articles

Events preceding death after high-risk surgery analyzed by Global Trigger Tool and reflective-thematic approach.

Postoperative mortality might be influenced by postoperative care, vigilance, and competence to rescue. This study aims to describe the course of events preceding death in a high-risk surgical cohort. We analyzed hospital records of patients who died within 30 days after surgery in 4 high volume hospitals using (1) reflective narrative thematic approach to identify recurring themes reflecting issues with conduct of care and (2) Global Trigger Tool to describe incidence, timing, and types of adverse events (AEs) leading to harm. Preoperative predicted median risk of death in the studied group was 9%/13% according to SORT/P-POSSUM, respectively. Nine recurring themes were identified. Prominent themes were "consensus concerning aim and/or risk with planned surgery," "level of (intraoperative) competence and monitoring," and in the postoperative period "level of care and vigilance" on signs of deterioration. We found a total of 303 AEs, with only three patients (5%) having no adverse events. Most common severity category was "I," that is "contributed to patient's death" (n = 110, 36% of all AEs). Of these, 60% were classified as preventable or probably preventable. The peak incidence of AEs was seen on the day of index surgery. Most common types of AEs were "failure of vital functions" (n = 79, 26%), followed by infections (n = 45, 15%). A high predicted risk of death and a peak of adverse events on the day of index surgery were detected. Identified themes reflect lack of documented multi-professional consensus on how to handle prevalent perioperative risk, vigilance, and postoperative level of care.

A process mining model to detect adverse patient safety events: Blood products watch

Introduction Patient safety incidents and adverse events are reported voluntarily by healthcare staff. The Global Trigger Tool, developed by the Institute for Healthcare Improvement, is used to capture unreported events. The objective of the new model is to use process mining in the context of adverse event detection to increase reporting efficiency. Methods In the first phase, the process mining model is used to discover the actual process map by querying inpatient processes using the provided log data. Transfusions of blood or blood products within 24 h after surgery, a subset of The Transfusion of Blood or Use of Blood Products trigger of Institute for Healthcare Improvement (GTT-C1) was deployed as a process pattern within the actual process map. Only detected patients were reviewed in the last phase. Results The model ran on a single hospital data set, which included 2870 patients, 1048 of which included surgeries. The model reduced the analyzed data to 57 patients. The expert group analyzed these 57 patients and defined 12 adverse events. The calculated adverse event ratio was 1.1%, comparable with other manual Global Trigger Tool studies. In addition, the reviewers’ time required decreased by 94.6%, from 138.28 to 7.52 h. Two reviewers validated the model by reviewing a sample of patients. Conclusions Process mining can be used in healthcare institutions to conduct routine surveillance and detect unreported safety events. This allows healthcare providers to allocate financial and human resources to more urgent needs and increase efficiency. Further research is needed to evaluate the model with other triggers.

Identification of risk factors for adverse drug events in a general hospital.

Adverse events (AEs), and particularly adverse drug events (ADEs), represent a health problem as they can cause permanent damage or death. Understanding the frequency, location, and causes of ADEs can prevent harm to patients. The Global Trigger Tool, produced by the Institute for Healthcare Improvement (GTT/IHI), is widely used to identify AEs. Recognizing the profile of patients who suffer ADEs can reveal clinical or individual characteristics that predispose to the occurrence of AEs. A cross-sectional study was carried out through a retrospective analysis of 120 medical charts of patients discharged from hospital between October 2020 and April 2021. Patients over 18 years old, with a length of stay of more than 24 h, were included. The list of triggers used was from the medication module of the GTT/IHI, which was adapted for use in the institution. Two primary reviewers and a medical reviewer applied this tool. The primary reviewers independently assessed the randomized charts. A meeting to achieve consensus among the reviewers was held every 2 weeks to validate the identified ADEs; classifications were based on harm severity. Multivariate logistic regression was utilized to assess the variables that predicted the occurrence of ADEs, using the backward stepwise method. A total of 43 ADEs were identified, with a frequency of 36 per 100 admissions (43/120). Of these, five ADEs (12%) were responsible for patients being admitted to hospital. In the case of in-hospital ADEs, there were 42.2 per 1000 patients/day. The clinical manifestation of altered kidney function (16%) and the anatomical drug group of the nervous system (33%) were the most frequent ADEs. The multivariate logistic regression model was significant (×2 = 44.960, P < .001), indicating that factors such as: known drug allergy [odds ratio 5.728; 95% confidence interval (CI): 1.249, 26.274, P = .025]; being clinically hospitalized (odds ratio 7.504; 95% CI: 1.654, 34.037; P = .009); number of medicines used (odds ratio 1.100; 95% CI: 1.054, 1.148; P < .001); and being under the care of internal medicine (odds ratio 3.633; 95% CI: 1.257, 10.511; P = .017) were predictor variables associated with the occurrence of ADEs. A significant percentage of hospitalized patients experienced at least one ADE, with rates surpassing those found in similar studies. The GTT/IHI effectively assessed medication-related harm, emphasizing the need for tailored triggers based on population characteristics. Predictor variables can inform preventive strategies. Overall, the tool facilitated a localized risk assessment of medication use.

Measuring the overall development of patient safety in a new hospital using trigger tools.

The new building of the Hospital in Lichtenfels (Germany) was put into operation in mid-July 2018. Neither the medical personnel nor medical departments have been changed. We want to evaluate how 'safe' or 'insecure' the new hospital or department in the beginning might have been. Our objective is to investigate if safety decreases at the beginning in a new hospital, despite modern environments and conditions. Adverse events (AEs) associated with treatment were included to evaluate the total number of AEs resulting from medical care and medications. Patients' records had to be closed and completed, the length of stay had to be at least 24 h, and the patient had to have been formally admitted to the hospital [Institute for Healthcare Improvement (IHI) 'Global Trigger Tool' (GTT) recommendation]. The identified AEs were grouped into 27 categories of the IHI 'GTT'. We randomly reviewed 40 patient records per month 6 months before and 6 months after moving to the new hospital. Statistical analysis showed that there was no significant difference in individual AEs. The sum of AEs was statistically higher after moving into a new hospital. A complete number of harms did reach statistical significance (χ2 = 6.62; df = 1; P < .05; Cramer's V = 0.12), indicating that new environments 'trigger' significantly more potential errors (50%) in comparison to the old environments (38.33%). According to our findings, the new hospital appears to be slightly insecure in the first 6 months after opening.

Detection of Adverse Events With the Austrian Inpatient Quality Indicators.

Indicators based on routine data are considered a readily available and cost-effective method for assessing health care quality and safety. The Austrian Inpatient Quality Indicators (A-IQI) have been introduced in all Austrian public hospitals as a mandatory quality measurement. The purpose of this study was to assess the value of conspicuous A-IQI in predicting the presence of adverse events (AEs). We conducted an exploratory study comparing all indicator-positive patient cases contributing to 18 conspicuous A-IQI indicators to randomly selected indicator-negative control cases regarding the prevalence and severity of AEs. Structured medical record review using the Institute for Healthcare Improvement Global Trigger Tool was used as the gold standard. In 421 chart reviews, we identified 158 AEs. 70.9% (n = 112) of the AEs were found in cases with a positive indicator. The relative risk of an AE occurring was 3.47 (95% confidence interval: 2.30, 5.24) in indicator-positive cases compared to indicator-negatives. The proportion of severe events (National Coordination Council for Medication Error Reporting and Prevention Index categories H and I) was 54.5% (n = 61) in indicator-positive cases and only 15.3% (n = 7) in indicator-negative cases. Overall sensitivity of the A-IQI was 68.2%, specificity 69.4%, positive predictive value 36.0%, and negative predictive value 89.6%. Our study shows that significantly more AEs and more severe AEs were found in cases with positive A-IQI than in indicator-negative control cases. However, studies with larger numbers of cases and with larger numbers of conspicuous indicators are needed for the validation of the entire A-IQI indicator set.

The application of Global Trigger Tool in monitoring antineoplastic adverse drug events: a retrospective study.

This study aimed to establish an antineoplastic drugs trigger tool based on Global Trigger Tool (GTT), to examine the performance by detecting adverse drug events (ADEs) in patients with cancer in a Chinese hospital (a retrospective review), and to investigate the factors associating with the occurrence of antineoplastic ADEs. Based on the triggers recommended by the GTT and those used in domestic and foreign studies and taking into account the scope of biochemical indexes in our hospital, some of them were adjusted. A total of 37 triggers were finally developed. Five hundred medical records of oncology patients discharged in our hospital from 1 June 2020 to 31 May 2021 were randomly selected according to the inclusion and exclusion criteria. These records were reviewed retrospectively by antineoplastic drugs trigger tool. The sensitivity and specificity of the triggers were analyzed, as well as the characteristics and risk factors for the occurrence of ADEs. Thirty-three of the 37 triggers had positive trigger, and the sensitivity rate was 91.8% (459/500). For the specificity, the positive predictive value of overall ADEs was 46.0% (715/1556), the detection rate of ADEs was 63.0% (315/500), the rate of ADEs per 100 admissions was 136.0 (95% CI, 124.1-147.9), and the rate of ADEs per 1,000 patient days was 208.33 (95% CI, 201.2-215.5). The top three antineoplastic drugs related to ADEs were antimetabolic drugs (29.1%), plant sources and derivatives (27.1%), and metal platinum drugs (26.3%). The hematologic system was most frequently involved (507 cases, 74.6%), followed by gastrointestinal system (89 cases, 13.1%). Multivariate logistic regression analysis showed that the number of combined drugs (OR = 1.14; 95% CI, 1.07-1.22; P < 0.001) and the previous history of adverse drug reaction (ADR) (OR = 0.38; 95% CI, 0.23-0.60; P < 0.001) were the risk factors for ADEs. The length of hospital stay (OR = 0.40; 95% CI, 0.14-1.12; P < 0.05) and the previous history of ADR (OR = 2.18; 95% CI, 1.07-4.45; P < 0.05) were the risk factors for serious adverse drug events (SAE). The established trigger tool could be used to monitor antineoplastic drugs adverse events in patients with tumor effectively but still needs to be optimized. This study may provide some references for further research in order to improve the rationality and safety of antineoplastic medications.

Exploring Risk Factors for Adverse Reactions in Children with an Acute Psychotic Episode Using the Global Trigger Tool: Does Age Matter?

Aim: To establish significant risk factors for the development of adverse drug effects (ADEs) in children and adolescents with an acute psychotic episode taking antipsychotics. Materials and Methods: The research team randomly selected 15 patient records each month for 3 years (2016-2018). Overall, 450 patient records were included (223 boys and 227 girls, mean age was 14.52 ± 2.21 years). Adverse effects were identified using the standard algorithm of the Global Trigger Tool method. A "trigger" is an indication that an adverse reaction is likely to occur, e.g., an antihistamine prescription on a prescribing list. When a trigger was detected, the case history was studied in further detail to confirm the occurrence of ADEs. We divided patients into two groups: the "children" group (under 12 years old) and the "adolescents" group (13 years and older). Data were analyzed using the statistical package IBM SPSS Statistics 23.0. Results: Of the 450 patient records, 402 (89.3%) had at least one trigger detected. In total, 126 case histories contained evidence of ADE (28%). The total number of ADEs per 1000 patient days was 5.39 and the number of ADEs per 100 admissions was 32.0. Among adolescents, two or more triggers per patient were significantly more frequently identified (61.3% vs. 44.6%; p = 0.001). ADEs were rare in "Children" compared with "Adolescents" (13.8% vs. 30.4%; p = 0.006). The logistic regression analysis confirmed high predictive role of "Adolescence" (odds ratio [OR] = 2.58; 95% confidence interval [CI] 1.22-5.4; p = 0.013), "Polypharmacy" (OR = 1.96; 95% CI 1.23-3.1; p = 0.004), and "First-life hospitalization" (OR = 2.17; 95% CI 1.34-3.48; p = 0.001) for ADE fact in patient records. Conclusion: We found that significant risk factors for ADEs to antipsychotics in patients with acute psychotic episode were adolescence (13 years and older), polypharmacy, and first-life hospitalization. The fact that children (i.e., younger than 13 years of age) are less likely to experience ADEs was not associated with high-risk drugs or higher doses in our study.

A scoping review of the methodological approaches used in retrospective chart reviews to validate adverse event rates in administrative data.

Patient safety is a key quality issue for health systems. Healthcare acquired adverse events (AEs) compromise safety and quality; therefore, their reporting and monitoring is a patient safety priority. Although administrative datasets are potentially efficient tools for monitoring rates of AEs, concerns remain over the accuracy of their data. Chart review validation studies are required to explore the potential of administrative data to inform research and health policy. This review aims to present an overview of the methodological approaches and strategies used to validate rates of AEs in administrative data through chart review. This review was conducted in line with the Joanna Briggs Institute methodological framework for scoping reviews. Through database searches, 1054 sources were identified, imported into Covidence, and screened against the inclusion criteria. Articles that validated rates of AEs in administrative data through chart review were included. Data were extracted, exported to Microsoft Excel, arranged into a charting table, and presented in a tabular and descriptive format. Fifty-six studies were included. Most sources reported on surgical AEs; however, other medical specialties were also explored. Chart reviews were used in all studies; however, few agreed on terminology for the study design. Various methodological approaches and sampling strategies were used. Some studies used the Global Trigger Tool, a two-stage chart review method, whilst others used alternative single-, two-stage, or unclear approaches. The sources used samples of flagged charts (n = 24), flagged and random charts (n = 11), and random charts (n = 21). Most studies reported poor or moderate accuracy of AE rates. Some studies reported good accuracy of AE recording which highlights the potential of using administrative data for research purposes. This review highlights the potential for administrative data to provide information on AE rates and improve patient safety and healthcare quality. Nonetheless, further work is warranted to ensure that administrative data are accurate. The variation of methodological approaches taken, and sampling techniques used demonstrate a lack of consensus on best practice; therefore, further clarity and consensus are necessary to develop a more systematic approach to chart reviewing.

Adverse drug events among hospitalized COVID-19 patients. Experience with the Global Trigger Tool

Adverse drug events among hospitalized COVID-19 patients. Experience with the Global Trigger Tool

Safety of patient care on an interprofessional training ward in visceral surgery

Interprofessional training wards (ITW) are increasingly being integrated into teaching and training concepts in visceral surgery clinics. How safe is patient care on an ITW in visceral surgery? Data collection took place from November 2021 to December 2022. In this nonrandomized prospective evaluation study the frequency and severity of adverse events (AE) in 3 groups of 100 patients each in atertiary referral center hospital for visceral surgery were investigated. The groups consisted of patients on the ITW and on the conventional ward before and after implementation of the ITW. The Global Trigger Tool (GTT) was used to search for AE. Simultaneously, asurvey of the treatment was conducted according to the Picker method to measure patient reported outcome. Baseline characteristics and clinical outcome parameters of the patients in the three groups were comparable. The GTT analysis found 74nonpreventable and 5preventable AE in 63 (21%) of the patients and 12 AE occurred before the hospital stay. During the hospital stay 50 AE occurred in the operating theater and 17on the conventional ward. None of the five preventable AE (in 1.7% of the patients) was caused by the treatment on the ITW. Patients rated the safety on the ITW better than in 90% of the hospitals included in the Picker benchmark cohort and as good as on the normal ward. The GTT-based data as well as from the patients' point of view show that patient care on acarefully implemented ITW in visceral surgery is safe.

Prevalence of Triggers and Patient Harm Identified by Global Trigger Tool in Specialized Palliative Care.

Background: Global trigger tool (GTT) was developed for identification of patient harm. In palliative patients deterioration can be expected, and there are no data on whether cases classified as "patient harm" actually represents a potential for improved patient safety. Objectives: The primary aim was to test the performance and suitability of GTT in palliative care patients. The secondary aim was to pilot triggers for substandard palliative care. Design and Measurements: GTT was applied in 113 consecutive patients at a palliative ward at a Norwegian university hospital. Cases of patient harm were further evaluated to decide if the case was (a) a natural part of the disease trajectory or (b) a foreseeable consequence of treatment decisions. Potential triggers for substandard palliative care were tested. Results: Two hundred twelve triggers (1.9 per hospitalization) and 26 cases of patient harm were identified. The positive predictive value (PPV) for identifying patient harm was 0.12. The most prevalent harm was pressure ulcers (8.8%). Of the 26 cases of patient harm, 6 cases were a natural part of the disease trajectory and 10 consequences of treatment decisions. In 21 (18%) patients triggers being piloted for substandard palliative care were present, identifying 9 cases of substandard palliative care. The highest PPV (0.67) was observed for "Cessation of antibiotics less than 5 days before death." Conclusions: With the exception of pressure ulcers, GTT triggers were infrequent or had a very poor PPV for patient harm. Triggers related to overtreatment might be suitable for identifying substandard palliative care.

Establishing a trigger tool based on global trigger tools to identify adverse drug events in obstetric inpatients in China

BackgroundPregnant women belong to the special population of drug therapy, and their physiological state, pharmacokinetics and pharmacodynamics are significantly different from the general population. Drug safety during pregnancy involves two generations, which is a hot issue widely concerned in the whole society. Global Trigger Tool (GTT) of the Institute for Healthcare Improvement (IHI) has been wildly used as a patient safety measurement strategy by several institutions and national programs, and the effectiveness had been demonstrated. But only one study reports the use of GTT in obstetric delivery until now. The aim of the study is to establish triggers detecting adverse drug events (ADEs) suitable for obstetric inpatients on the basis of the GTT, to examine the performance of the obstetric triggers in detecting ADEs experienced by obstetric units compared with the spontaneous reporting system and GTT, and to assess the utility and value of the obstetric trigger tool in identifying ADEs of obstetric inpatients.MethodsBased on a literature review searched in PubMed and CNKI from January of 1997 to October of 2023, retrospective local obstetric ADEs investigations, relevant obstetric guidelines and the common adverse reactions of obstetric therapeutic drugs were involved to establish the initial obstetric triggers. According to the Delphi method, two rounds of expert questionnaire survey were conducted among 16 obstetric and neonatological physicians and pharmacists until an agreement was reached. A retrospective study was conducted to identity ADEs in 300 obstetric inpatient records at the Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital from June 1 to September 30, 2018. Two trained junior pharmacists analyzed the first eligible records independently, and the included records reviewed by trained pharmacist and physician to identify ADEs. Sensitivity and specificity of the established obstetric triggers were assessed by the number of ADEs/100 patients and positive predictive value with the spontaneous reporting system (SRS) and GTT. Excel 2010 and SPSS22 were used for data analysis.ResultsThrough two rounds of expert investigation, 39 preliminary triggers were established that comprised four modules (12 laboratory tests, 9 medications, 14 symptoms, and 4 outcomes). A total of 300 medical records were reviewed through the obstetric triggers, of which 48 cases of ADEs were detected, with an incidence of ADEs of 16%. Among the 39 obstetric triggers, 22 (56.41%) were positive and 11 of them detected ADEs. The positive predictive value (PPV) was 36.36%, and the number of ADEs/100 patients was 16.33 (95% CI, 4.19–17.81). The ADE detection rate, positive trigger rate, and PPV for the obstetric triggers were significantly augmented, confirming that the obstetric triggers were more specific and sensitive than SRS and GTT.ConclusionThe obstetric triggers were proven to be sensitive and specific in the active monitoring of ADE for obstetric inpatients, which might serve as a reference for ADE detection of obstetric inpatients at medical institutions.

Application of Global Trigger Tools in University Hospital and Comparison to Volunteer Adverse Events Reporting System.

A voluntary reporting system (VRS) is still used to detect adverse events (AEs) in health-care services in many countries. We attempted to apply the Global Trigger Tool (GTT) for the first time in our country and searched for an answer to the question of whether there could be new triggers. Two hundred and forty inpatient records were selected from total of 1,807 inpatient files in the university obstetrics and gynecology clinic between 2018 and 2020. Twenty files per month were reviewed retrospectively using GTT, an approach developed by the American Institute for Health Development. VRS records of the same period were examined. The data were evaluated according to the National Coordinating Council for Medication Error Reporting and Prevention scale and those in the E, F, G, H, I categories were included. The number of AEs per 1,000 patient days was 47.81, AEs per 1,000 patient hospitalizations was 95.83, and hospitalizations with AEs was 9.58%. In the VRS data, 10 of 85 reporting cases were listed in the E category (Damage is temporary and requires intervention), 6 of them were related to fall of the patient, and 4 of them were related to medical device and material safety. By applying GTT, 45 cases in category E and 35 cases in category F (Damage is temporary and requires hospitalization or prolonged hospitalization) AEs were detected in 23 patients (9.58%). The number of AEs reported was 8.3 times higher in the GTT than with VRS. Healthcare related infection, development of complications from any procedure, APTT>100 Seconds, INR>6, Organ Injury - Repair or Removal, All Kinds of Operative Complications were found to be the most sensitive triggers (PPV = 100). There was no difference between the patients with and without AEs in terms of age and number of hospitalization days (p: 0.707, p: 0.618). The sensitivity rate of vaginal dinoprostone use and CRP elevation (30% and 22%, respectively) was higher than the mean sensitivity rate of GTT triggers (15.6%). The GTT is more effective than VRS in detecting AEs. Using vaginal dinoprostone (propess) and high CRP levels could be used as a trigger. The GTT is a credible and fruitful instrument for determining AEs when adapted to the departmental practices.

Active monitoring of antifungal adverse events in hospitalized patients based on Global Trigger Tool method.

The increasing prevalence of fungal infections necessitates broader use of antifungal medications. However, the prevalence of adverse drug events (ADEs) restricts their clinical application. This study aimed to develop a reliable ADEs trigger for antifungals to enable proactive ADEs monitoring, serving as a reference for ADEs prevention and control. This investigation comprises two phases. Initially, the trigger was established via a literature review, extraction of relevant items, and refinement through Delphi expert consultation. Subsequently, the validity of the trigger was assessed by analyzing hospital records of antifungal drug users from 1 January 2019 to 31 December 2020. The correlation between each trigger signal and ADEs occurrence was examined, and the sensitivity and specificity of the trigger were evaluated through the spontaneous reporting system (SRS) and Global Trigger Tool (GTT). Additionally, risk factors contributing to adverse drug events (ADEs) resulting from antifungal use were analyzed. Results: Twenty-one preliminary triggers were refined into 21 final triggers after one expert round. In the retrospective analysis, the positive trigger rate was 65.83%, with a positive predictive value (PPV) of 28.75%. The incidence of ADEs in inpatients was 28.75%, equating to 44.58 ADEs per 100 admissions and 33.04 ADEs per 1,000 patient days. Predominant ADEs categories included metabolic disturbances, gastrointestinal damage, and skin rashes. ADEs severity was classified into 36 cases at grade 1, 160 at grade 2, and 18 at grade 3. The likelihood of ADEs increased with longer stays, more positive triggers, and greater comorbidity counts. This study underscores the effectiveness of the GTT in enhancing ADEs detection during antifungal medication use, thereby confirming its value as a monitoring tool.

Adverse Drug Reactions Related with Antibiotic Medicines in Malawi: A Retrospective Analysis of Prevalence and Associated Factors.

We aimed to assess the occurrence and characteristics of antibiotic-associated adverse drug reactions (ADRs) in Malawi. We retrospectively reviewed 304 patient records from medical wards in three hospitals in Southern Malawi. A global trigger tool was applied for the detection of suspected ADRs, and we used the Naranjo scale, the World Health Organization classification and the Schumock and Thornton scale for causality, seriousness and preventability assessment respectively. ADRs were also further characterized according to anatomical systems. Statistical analysis was done in STATA 14.1. The Chi-square test was used to determine the association between categorical variables and logistic regression analysis was used to measure the strength of the association between various independent variables and the occurrence of ADRs. Suspected ADRs were detected in 24% (73/304) of patients, of which 1.4% were definite, 15.1% were probable and 83.6% were possible ADRs. Most of the sADRs were gastrointestinal events (42.5%), followed by: musculoskeletal (26.3%); cardiovascular (16.3%); central nervous system (13.8%; and urinary events (1.3%). About 27% of the sADRs were serious events such as convulsions. The geriatric age group (≥65 years) was more likely to experience sADRs as compared to the younger age group, with an adjusted odds ratio (aOR) of 4.53, 95% CI (2.21-9.28), P<0.001. Patients taking more than one antibiotic medicine had a higher risk of developing sADRs as compared to patients who were administered one type of antibiotic medicine, aOR 2.14, 95% CI (1.18-3.90), p < 0.012. A long hospital stay of >3days was associated with a higher risk of sADRs with aOR of 5.11, 95% CI (2.47-10.55), p < 0.001 than those who stayed ≤ 3 days in the hospital. We found a higher prevalence of serious sADRs associated with antibiotic medicines than reported elsewhere. This may, among others, contribute to high patient mortality, poor treatment adherence, antibiotic resistance and increased cost of care.

Performance of triggers in detecting hospitalizations related to drug-induced respiratory disorders in older adults: A pilot cross-sectional study

BackgroundThere is no gold-standard trigger for detecting drug-induced respiratory disorders, a type of Adverse Drug Event (ADE) with high morbimortality, particularly in older people. ObjectiveTo propose and evaluate the performance of triggers for detecting hospitalizations related to drug-induced respiratory disorders in older people. MethodsA pilot cross-sectional study was conducted with older people (age ≥ 60) admitted to a Brazilian hospital. Electronic chart documentation was screened using ICD-10 codes; Global Trigger Tool (GTT); and drugs potentially associated with respiratory disorders. A chart and medication review were conducted to perform the causality assessment using the instrument developed by the World Health Organization. The performance of triggers was evaluated by the Positive Predictive Value (PPV), with values ≥ 0.20 indicating good performance. ResultsAmong 221 older people, 72 were eligible. Potential drug-induced dyspnea and/or cough were detected in six older people (6/72), corresponding to a prevalence of 8.3 %. The overall PPV of the triggers was 0.14, with abrupt medication stop (PPV = 1.00), codeine (PPV = 1.00), captopril (PPV = 0.33), and carvedilol (PPV = 0.33) showing good performance. Two triggers were proposed for detecting therapeutic ineffectiveness associated with respiratory disorders: furosemide (PPV = 0.23) and prednisone (PPV = 0.20). ConclusionThe triggers enabled the identification that one in 12 hospitalizations was related to drug-induced respiratory. Although good performance was observed in the application of triggers, additional investigations are needed to assess the feasibility of incorporating them into clinical practice for the screening, detection, management, and reporting of these ADEs, which are considered to be underreported and difficult to detect.

Antibiotic-Associated Drug-Induced Liver Injury in Critically Ill Children: A Prospective Observational Study

INTRODUCTION. Drug-induced liver injury (DILI) is associated, among other things, with the use of antibiotics. Children with DILI are at risk of acute liver failure and even death. However, the literature on the subject provides little information on the possibility of distinguishing the types of hepatic lesions to diagnose potentially life-threatening DILI in time.AIM. The study aimed to describe the phenotype of new-onset DILI associated with antibiotics in critically ill children with nosocomial infection.MATERIALS AND METHODS. The authors conducted a prospective observational study in the resuscitation and intensive care units of the Morozov Children’s City Clinical Hospital from 1 February 2020 to 1 September 2021. The study assessed the incidence of antibiotic-associated DILI using the Global Trigger Tool. The study enrolled 100 critically ill children aged 0 to 17 years (44 boys and 56 girls) with nosocomial infection.RESULTS. Signs of hepatotoxicity were detected in 19 patients, including 8 with abnormal liver function tests but normal liver function and 11 with abnormal liver function tests and clinically apparent liver disease. Thus, the incidence of new-onset hepatotoxicity associated with antibiotics amounted to 12.9 cases per 100,000 paediatric patients, and the incidence of DILI was 7.5 cases per 100,000 children. Based on the analysis of medical records, biochemical findings, and relationships between the time of dosing and the manifestation of signs of liver disorder in 11 children, the authors characterised the phenotype of idiosyncratic cholestatic hepatitis. Critically ill children treated with antibiotics showed alanine transaminase activity up to 10 times the upper limit of normal (ULN), bilirubin levels up to 4.45 times the ULN, and gamma-glutamyl transferase activity up to 5 times the ULN. The odds of developing new-onset DILI were the highest with tigecycline (OR: 4.07; 95% CI: 1.32–12.50) and meropenem (OR: 1.84; 95% CI: 1.01–3.36). In 6 patients, clinical signs of idiosyncratic cholestatic hepatitis resolved within a few weeks after antibiotic discontinuation. The other 5 patients with clinical signs of idiosyncratic cholestatic hepatitis died.CONCLUSIONS. The authors described the phenotype of idiosyncratic cholestatic liver injury associated with antibiotics in critically ill children. The role of pharmacogenetic markers in the development of DILI associated with antibiotics in critically ill children needs to be assessed further to implement a risk-based approach and mitigate the risks.The study was registered at ClinicalTrials.gov under No. NCT04141657 on 24 October 2019.

Exploring Safety Culture in the ICU of a Large Acute Teaching Hospital through Triangulating Different Data Sources

Safety Culture (SC) has become a key priority for safety improvement in healthcare. Studies have identified links between positive SC and improved patient outcomes. Mixed-method measurements of SC are needed to account for diverse social, cultural, and subcultural contexts within different healthcare settings. The aim of the study was to triangulate data on SC from three sources in an Intensive Care Unit (ICU) in a large acute teaching hospital. A mixed-methods approach was used, including analysing the Hospital Survey for Patient Safety Culture results, retrospective chart reviews using the Global Trigger Tool (GTT) for the ICU, and staff reporting of adverse events (AE). There was a 47% (101/216) response rate for the survey. Further, 98% of respondents stated a positive patient safety rating. The GTT identified 16 AEs and 11 AEs that were reported in the same timeframe. The triangulation of the data demonstrates the complexity of understanding components of SC in particular: learning, reporting, and just culture.

Applying The Global Trigger Tool in a Turkey’s Hospital: in Obstetrics and Gynecology: A Pilot Study

The Global Trigger tool (GTT) is considered one of the most reliable methods in evaluating adverse events (AEs). This study aimed to evaluate the feasibility and potential of the GTT to identify AEs in clinical applications. 240 patient records were randomly selected from the Obstetrics and Gynecology department of a university hospital. Patient files were retrospectively examined as 20 patient files per month in a two-year period. The records were reviewed using GTT an approach developed by the American Institute for Health Development (IHI). Percentage of hospitalizations with AEs 9,58, AEs per thousand patient days 47.81, and AEs per thousand patient hospitalizations 95.83 were found. By applying GTT, 45 cases in category E (Damage is temporary and requires intervention) and 35 cases in category F (Damage is temporary and requires hospitalization or prolonged hospitalization) were detected. CRP elevation (5/11), vaginal surgeries (3/15), and use of Dynoprostone (6/22), helped detect AEs in category E (3 cases) and category F (11 cases). GTT detected 8.3 times more AEs than VRS. The application of the GTT is feasible in Clinical practice and a reliable and effective instrument for detecting AEs when adapted to the departmental specifics. High CRP, vaginal surgeries, and the use of vaginal Dynoprostone could be used as a trigger.

Developing a research tool to detect iatrogenic adverse events in psychiatric health care by involving service users and health professionals.

Most health professionals working in psychiatric care will experience adverse events (AE) such as service user suicide or violence, during their career Norway lacks measures to capture potential iatrogenic injuries, such as risk assessment measures, to evaluate patient records for AEs in both inpatient and outpatient psychiatric clinics in hospitals WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE: We have described an approach to the validation of a research tool between different national contexts; a process that went beyond language translation We have incorporated the understanding of health professionals and service users; to bring together the lifeworld of the patient with the professional definition of AEs, triggers and risk areas of AEs in a psychiatric context. The service users' experiences resulted in modifications to the tool. Applying the 'Global Trigger Tool-Psychiatry' in Norway and Sweden can help mental health nurses to prevent iatrogenic harm and reduce the occurrence of AEs through the identification of potential triggers. Implementing 'Global Trigger Tool-Psychiatry' might help mental health nurses to improve patient safety in Norway and Sweden. INTRODUCTION: There is little consensus on cross-cultural and cross-national adaptation of research instruments. To translate and validate a Swedish research tool (GTT-P) to detect iatrogenic adverse events in psychiatric health care by involving service users and health professionals in the process. The GTT-P, designed to identify events in patient records that were triggers for adverse events, was translated to Norwegian using a cross-cultural adaptation approach. This involved two focus groups with clinical staff, one of which involved service users, and a joint discussion at a Dialogue Conference to generate consensus on the definition of the triggers of potential adverse events identifiable in patient records. We highlight both the differences and commonalities in defining the nature of risks, the adverse events and the triggers of such events. The Dialogue Conference resulted in three modifications of the tool, based on service users' experiences. Service user involvement and co-production was essential for both the translation and adaptation of the research instrument. We have described an approach to the validation of a research tool between different national contexts; a process that went beyond language translation. This approach enables a more nuanced understanding of potential risks within a psychiatric context as it engages differences in the care delivery. Applying the GTT-P in hospital-based psychiatric care might help to identify processes that need to be changed in order to promote patient safety and a safer work environment for mental health nurses. When translating and validating the GTT-P from Swedish to Norwegian, we have considered the knowledge and experiences of both service users and health professionals. The application of the GTT-P can promote greater patient safety in hospital settings.