Support Quality Improvement Research Articles

Abstract 4137165: Changes in Contrast Volume among Patients Undergoing Percutaneous Coronary Intervention: a Report from NCDR CathPCI registry

Background: Acute kidney injury (AKI) is the most common complication after percutaneous coronary intervention (PCI) and can be mitigated by using less iodinated contrast. The National Cardiovascular Data Registry (NCDR) supports quality improvement initiatives by providing quarterly, risk-adjusted, institutional AKI rates. However, it remains uncertain whether these efforts have reduced procedural contrast volume, particularly in high-risk patients. Aims: Examine temporal trends in contrast volume during PCI across different pre-procedural AKI risk strata. Methods: Within the NCDR CathPCI Registry, we identified PCIs performed between April 1, 2018, and December 31, 2022, and examined changes in mean contrast volume over time across different pre-procedural AKI risk strata defined by the validated NCDR AKI risk model. A multivariable hierarchical model, with the physician as a random effect, was constructed to assess the trend in contrast volume use over time. Results: Among 3,126,559 patients undergoing PCI (mean age = 66.8 ± 11.7 years, 69.4% men, and 39.9% elective procedures), contrast volume declined from a mean of 168.1±77.6 ml in Q2 2018 to 149.8±71.2 ml in Q4 2022 ( p < 0.001 for trend) with the trend being consistent across AKI risk strata ( Figure ). After adjusting for patient and pre-procedural characteristics, the contrast volume declined by 18.9 ml (95%CI 19.1 to 18.6, P <0.001) between 2018 and 2022. Despite marked physician variability in mean contrast use, the lowest mean contrast doses were observed in patients at greatest AKI risk (>15%). Conclusions: PCI contrast administration has declined over time, and the average exposure was lowest in patients at highest risk for AKI, suggesting improved efforts to reduce AKI over time.

Australian private healthcare staff perspectives on patient reported experience measures (PREMs): a qualitative interview study

ObjectivePatient reported experience measures (PREMs) are common tools utilised in hospitals to support quality improvements, allow consumers to provide feedback on care experiences and can be used to support consumers’ hospital selections. This study aimed to understand the views and opinions of private hospital staff on PREM use and the utility of PREMs as a consumer decision-making tool.MethodQualitative, semi-structured interview study conducted via telephone between March-June 2023. Participants (n = 10) were recruited from major private healthcare providers in Australia with half representing hospital-based staff and the other half corporate head office staff who work in patient experience and quality. Interviews were audio-recorded, transcribed, and analysed thematically.ResultsPREM benefits included an understanding of patient experience that improved provision of patient centred care with feedback acting as catalyst for change, to corporate-level strategic initiatives that address specific issues. Drawbacks of PREM reporting included concerns around skewed results by biased respondents, and completion based on hard to alter items (e.g., infrastructure) or on matters outside of hospital control (e.g., insurance). Staff had mixed reactions to consumers using PREMs results when selecting a hospital, some advocated for transparency while others feared consumers would misinterpret the data.ConclusionsImproved real-time reporting of PREMs, learning from other industries about recording customer experience, and mandatory reporting by private hospitals could further the benefits of PREM measurement in private healthcare. Recognised was the need for PREMs to be displayed in a readily understood way so those with limited health literacy can correctly interpret.

Automated Extraction of Stroke Severity From Unstructured Electronic Health Records Using Natural Language Processing.

Multicenter electronic health records can support quality improvement and comparative effectiveness research in stroke. However, limitations of electronic health record-based research include challenges in abstracting key clinical variables, including stroke severity, along with missing data. We developed a natural language processing model that reads electronic health record notes to directly extract the National Institutes of Health Stroke Scale score when documented and predict the score from clinical documentation when missing. The study included notes from patients with acute stroke (aged ≥18 years) admitted to Massachusetts General Hospital (2015-2022). The Massachusetts General Hospital data were divided into training/holdout test (70%/30%) sets. We developed a 2-stage model to predict the admission National Institutes of Health Stroke Scale, obtained from the GWTG (Get With The Guidelines) stroke registry. We trained a model with the least absolute shrinkage and selection operator. For test notes with documented National Institutes of Health Stroke Scale, scores were extracted using regular expressions (stage 1); when not documented, least absolute shrinkage and selection operator was used for prediction (stage 2). The 2-stage model was tested on the holdout test set and validated in the Medical Information Mart for Intensive Care (2001-2012) version 1.4, using root mean squared error and Spearman correlation. We included 4163 patients (Massachusetts General Hospital, 3876; Medical Information Mart for Intensive Care, 287); average age, 69 (SD, 15) years; 53% men, and 72% White individuals. The model achieved a root mean squared error of 2.89 (95% CI, 2.62-3.19) and Spearman correlation of 0.92 (95% CI, 0.91-0.93) in the Massachusetts General Hospital test set, and 2.20 (95% CI, 1.69-2.66) and 0.96 (95% CI, 0.94-0.97) in the MIMIC validation set, respectively. The automatic natural language processing-based model can enable large-scale stroke severity phenotyping from the electronic health record and support real-world quality improvement and comparative effectiveness studies in stroke.

A validated NICU database: recounting 50 years of clinical growth, quality improvement and research.

The importance of a Neonatal Intensive Care Unit (NICU) database lies in its critical role in improving the quality of care for very preterm neonates and other high-risk newborns. These databases contain extensive information regarding maternal exposures, pregnancy complications, and neonatal care. They support quality improvement (QI) initiatives, facilitate clinical research, and track health outcomes in order to identify best practices and improve clinical guidelines. The Parkland Memorial Hospital NICU database was originally part of the Maternal and Neonatal Data Acquisition, Transmission and Evaluation project funded by the Robert Wood Johnson Foundation to assess perinatal-neonatal care in Dallas County Texas, 1977-1982. Clinical data points were defined, transcribed and validated in 1977; revalidation has occurred multiple times. Data are prospectively extracted from health records of high-risk neonates among >11,000 births annually. The database contains clinical information on >50,000 neonates, including all initially admitted to the NICU regardless of gestational age or birthweight and since 10/03/2011, all neonates admitted for observation and transferred to the term newborn nursery. The database has provided the basis for QI studies and research designed to assess and improve neonatal care. We discuss the history, evolution, administration, impact on neonatal outcomes, and future directions of our database. IMPACT: A single neonatal intensive care unit (NICU) database was designed for prospective data collection, validated and maintained for 46yrs. This database has supported quality improvement assessment, original clinical research, education and administrative requirements and impacted clinical neonatal care.

Current state of quality improvement research across cardiac ICUs: a Pediatric Cardiac Intensive Care Society (PCICS) survey.

Outcomes for children with heart disease improved over the past decades. Quality improvement (QI) research in paediatric cardiac critical care is a key driver of improvement. The availability and variability of QI research across the field is unknown. This project represents a step in understanding the role. The Pediatric Cardiac Intensive Care Society (PCICS) can serve to support institutions' needs, drive collaborations, and utilise available infrastructure at member institutions for improvement work. The PCICS Quality Improvement and Safety Committee developed a survey to assess the state of QI research. The survey was disseminated over several months and available via QR code at the World Congress of Pediatric Cardiology and Cardiac Surgery in 2023. Fifty-eight respondents completed the survey representing at least 38 unique institutions. Most respondents participated in QI research (52/58, 90%). Most QI projects were single centre (41% of respondents), and of those, the majority were from a minority of institutions (13 institutions [34% of total institutions]). QI support is available at slightly more than half of units, and 55% (32/58) have access to a QI specialist. QI support and rate of publications is significantly lower for small/medium units as compared to large units. Respondents suggested most interest from PCICS in networking with other members with similar project ideas (50/58, 86%). PCICS member institutions are committed to QI research, with limitations in support, local specialists, and networking. Increasing connectivity and accessibility to QI resources may reduce burden to individual members and institutions to achieve QI research.

The Michigan Collaborative for Type 2 Diabetes (MCT2D): Development and implementation of a statewide collaborative quality initiative

BackgroundType 2 diabetes (T2D) is one of the most prevalent chronic diseases worldwide and a leading cause of cardiorenal disease and mortality. Only one-third of individuals with T2D receive care as recommended by the American Diabetes Association’s clinical practice guidelines. Effective strategies are needed to accelerate the implementation of guideline concordant T2D care.MethodsThe Michigan Collaborative for Type 2 Diabetes (MCT2D) is a statewide population health collaborative quality initiative (CQI) developed to improve the care of all people with T2D in Michigan. MCT2D has developed a learning health system with physician organizations and their constituent practices to support quality improvement initiatives focused on (1) improving use of guideline-directed pharmacotherapy to improve cardiorenal outcomes, (2) increasing evidence-based use of continuous glucose monitoring, and (3) supporting use of lower carbohydrate eating patterns.ResultsBetween 2021 and 2022, MCT2D recruited 28 of the 40 Michigan-based physician organizations participating in Blue Cross’ Physician Group Incentive Program with 336 constituent practices and 1357 physicians in primary care (304), endocrinology (21) and nephrology (11). In January 2022, baseline data included a sample of 96,140 unique individuals with T2D. The baseline HbA1c was ≤ 7.0% for 66.3% of patients (n = 32,787), while 14.9% of patients had a most recent HbA1c ≥ 8.0% (n = 7,393). The most recent body mass index (BMI) was ≥ 30.0 for 64.8% of patients (n = 38,516).DiscussionMCT2D has organized a statewide collaborative to recruit and engage a diverse and large set of physician organizations and their constituent practices. This is a promising opportunity to accelerate adoption of guideline-concordant care for people with T2D and may be a model for other state or regional collaboratives. Future directions include specific evidence-based interventions targeted at reducing diabetes-linked comorbidities and associated healthcare costs as well as strategies focused on T2D prevention among at-risk populations.

Community dynamics and assembly is driven by environmental microbiota mediated by spatiotemporal distribution: The case of Daqu fermentation

In almost all environments, microbial interaction is shaped by differences in environmental microbial transport, resulting in synergistic or antagonistic effects among community members. Unfortunately, the current understanding of how environmental microbiota affect spontaneous fermentation is very limited. Here, we selected Daqu workshops with different usage times (named X (60 years), Y (10 years), and Z (0 year)) as research model. The microbial contribution of raw material and environments to the microbiota of Daqu fermentation among workshops was compared, raw material microbiota contributed more bacterial genera (44.70 %–73.56 %) to the fermentation, and environmental microbiota contributed more fungal genera (10.09 %–99.76 %) to the fermentation. The deterministic assembly ratio and interaction intensity of workshop X were the highest, followed by Y and Z. We analyzed the relationship between environmental microbiota, fermentation microbiota, fermentation characteristics and flavor compounds. Environmental microbiota negatively drove the microbial diversity during fermentation (path coefficient = −1, P = 0.004), and further indirectly affected the community dynamics and assembly (path coefficient = −0.990, P < 0.001). Finally, community dynamics and assembly drove flavor compound diversity (path coefficient = 0.923, P < 0.001), it indicated the positive effect of environmental microbiota on flavor compound diversity. This work will help to understand the relationship between environmental microbiota and fermentation quality, supporting quality improvement of spontaneously fermented food in new workshop.

Impact of PRECEDE-PROCEED Model Audits in Cancer Screening Programs in Lombardy Region: Supporting Equity and Quality Improvement.

Health disparities related to socio-economic factors impact access to preventive health interventions. The PRECEDE-PROCEED model, a multidimensional approach to health promotion, has been adapted to optimise cancer screening programs in Lombardy, Italy, addressing these disparities. This study evaluated the application of systemic audits based on the PRECEDE-PROCEED model across Lombardy cancer screening programs. A systematic region-wide audit was performed in 2019, and follow-up audits were performed in 2022-2023. Data were collected using structured analysis methodologies, including epidemiological, behavioural, and organisational assessments. The 2019 audit showed strengths in participation and quality standards but identified challenges in cervical cancer screening coverage and waiting times for assessments. Improvements plans included the digitisation of processes and stakeholder engagement. The 2022-2023 audits reported increased coverage for breast and colorectal screenings, but a slight decline in participation rates and examination coverage. Organisational improvements were noted, yet gaps in training and equity-targeted actions remained. The PRECEDE-PROCEED model audits led to notable improvements in the quality and equity of cancer screening programs in Lombardy. Sustained focus on digital integration, continuous re-training, and targeted equity interventions is essential for further progress.

Computational modeling of air pollutants for aquatic risk: Prediction of ecological toxicity and exploring structural characteristics

Assessing the aquatic toxicity originating from air pollutants is essential in sustaining water resources and maintaining the ecosystem's safety. Quantitative structure-activity relationship (QSAR) models provide a computational tool for predicting pollutant toxicity, facilitating the identification/evaluation of the contaminants and identifying responsible structural fragments. One-vs-all (OvA) QSAR is a tailored approach to address multi-class QSAR problems. The study aims to determine five distinct levels of aquatic hazard categories for airborne pollutants using OvA-QSAR modeling containing 254 air contaminants. This QSAR analysis reveals the critical descriptors of air pollutants to target for molecular modification. Various factors, including the selection of relevant mechanistic descriptors, data quality, and outliers, determine the reliability of QSAR models. By employing feature selection and outlier identification approaches, the robustness and accuracy of our QSAR models were significantly increased, leading to more reliable predictions in chemical hazard assessment. The results revealed that models using the Random Forest algorithm performed the best based on the selected descriptors, with internal and external validation accuracy ranging from 71.90% to 97.53% and 76.47%–98.03%, respectively. This study indicated that the aquatic risk of air contaminants might be attributed predominantly to their sp3/sp2 carbon ratio, hydrogen-bond acceptor capability, hydrophilicity/lipophilicity, and van der Waals volumes. These structures can be critical in developing innovative strategies to mitigate or avoid the chemicals' harmful effects. Supporting air quality improvement, this study contributes to the rapid implementation of measures to protect aquatic ecosystems affected by air pollution.

512 Critical Care Documentation Basics: An Educational Initiative to Support Quality Improvement

512 Critical Care Documentation Basics: An Educational Initiative to Support Quality Improvement

Perioperative Quality Improvement in Children's Hospitals Neonatal Consortium NICUs.

Infants admitted to NICUs in children's hospitals represent a different population than those in a traditional birth hospital. The patients in a children's hospital NICU often have the most complex neonatal diagnoses and are cared for by various subspecialists. The Children's Hospitals Neonatal Consortium is a collaborative of more than 40 NICUs that collect data and perform quality improvement (QI) work across the United States and Canada. The collaborative's database provides an opportunity to benchmark clinical outcomes for this specialized population and to support the QI efforts. In this review, we summarize the success of individual collaborative QI projects focused on improving the care of the neonate in the perioperative period related to clinical team handoffs, postoperative hypothermia prevention, and improvement of postoperative pain management. The collaborative's experience can serve as a model for other national collaboratives seeking to support QI efforts.

Patient Experience Survey as a Tool to Support Quality Improvement of a Geriatric Service in the Emergency Department (ED)

Abstract Background The aim of this survey was to valuate patient’s satisfaction with a Frailty Intervention Therapy Team (FITT) and gain insight into their thoughts about the service. Patients’ feedback is a vital component in monitoring and improving the quality of care. The data collected will help develop the service ensuring it’s patient centred and tailored to their needs. Methods A qualitative approach was taken in the form of a patient satisfaction survey. To limit bias responses, non-patient facing clerical facilitated the completion of the questionnaire with the patient. Results 27 surveys were administered over a 5-week period with an 81% response rate (n=22). 91% of patients surveyed felt the purpose of the FITT service was clearly explained to them, the team member had clearly introduced themselves and the team used both written and verbal information well –indicating an effective and efficient style of communication. 100% of patients reported that FITT treated them with dignity and respect. 18% of patients reported they were not involved in decision making relating to the care they received. The ED environment was rated as poor by 14% of patients, long wait time to be seen was also a concern. While some areas of patient concerns cannot be directly targeted by the team alone, we have a duty of care to highlight these concerns to the wider ED staff and hospital group. Conclusion A ‘what matters to you’ question has been incorporated into the assessment paperwork, to ensure patients’ wishes are being formally captured and placed centrally within care management planning. Communication to the patient was supported by providing a FITT information leaflet. Additional seating was procured by FITT to promote improvements in comfort and facilitate safe transfers of older patients in the ED. Patient feedback was presented to the ED governance group, including major themes of patient concern.

Patient-Reported Needs in Postoperative Communication After Kidney Stone Surgery.

Patient-centered communication after surgery can enhance patient satisfaction and reduce unplanned clinical contact. However, patient information needs following kidney stone surgery are not well understood, limiting quality improvement efforts. We aimed to characterize patient-reported needs in and preferences for postoperative communication following kidney stone surgery. Patients undergoing common stone procedures were surveyed about the content, volume, and satisfaction with the communication they received after surgery. Patients indicated which information resources they consulted and found most helpful to address their postoperative care questions. Among 52 patients, the majority (75%) identified varying degrees of deficiencies in the communication they received after surgery. Regarding content, respondents were most interested in understanding how their surgery went (90%), the plan for follow-up care (85%), and the specific location of their stone (85%). Regarding volume, respondents consistently indicated interest in intraoperative findings (stone appearance and location) and postoperative care (stent symptoms and location) but the majority did not recall receiving enough information. To address their questions after surgery, respondents most commonly consulted their urologist (71%), discharge paperwork (42%), electronic health record (27%), and the person with whom their urologist spoke after surgery (25%); among these, the majority (54%) reported that their urologist was the single most helpful source of information. Following kidney stone surgery, patients report unmet communication needs related to specific intraoperative findings and follow-up care. Patients indicate high levels of satisfaction with urologist-provided resources. These exploratory findings support quality improvement efforts to optimize delivery of effective, patient-centered communication after surgery.

Effect Of The Implementation Of The Iso 9001:2015 Quality Management System On Product Quality In The Production Department Of Pt Sentralindo Teguh Gemilang

This study aims to analyze the effect of the implementation of the ISO 9001:2015 quality management system on Product Quality in the Production Department of PT. Sentralindo Teguh Gemilang. This research method uses a quantitative method with a non-probability sampling technique using a simple random sampling technique. Data was collected by questionnaires distributed using google forms to employees of the production department of PT. Sentralindo Teguh Gemilang. The collected data was analyzed using a simple linear regression method to test the relationship between the variables of quality management system implementation and product quality. The results of this study are that the implementation of the quality management system and product quality has a positive influence with the beta coefficient showing a positive 0.378, the remaining 61.7% is influenced by other variables that are not included in the research model. The results of the analysis are expected to be used as a reference to strengthen and improve the implementation of the ISO 9001:2015 Quality Management System through careful monitoring and continuous adjustment to factors that support quality improvement and for researchers it is recommended to conduct a more in-depth study to identify and analyze other factors that affect product quality in the company and it is recommended to conduct analysis on other objects.

Optimising antibacterial utilisation in Argentine intensive care units: a quality improvement collaborative

BackgroundThere is limited evidence from antimicrobial stewardship programmes in less-resourced settings. This study aimed to improve the quality of antibacterial prescriptions by mitigating overuse and promoting the use of narrow-spectrum...

Application of the Concept Planning, Organizing, Actuating, Controlling in Improving the Quality of Education at Madrasah Ibtidaiyah Wathoniyah Cirebon

This study investigates the application of management functions in enhancing the quality of education at Madrasah Ibtidaiyah Wathoniyah Putra Buntet in Kabupaten Cirebon. Despite the potential for good management to improve educational quality, the current management practices at this school are ineffective and inefficient, leading to poorly implemented programs and plans. The research aims to: 1) explore the application of education management functions; 2) understand the management practices at Madrasah Ibtidaiyah Wathoniyah Putra Buntet; 3) identify factors that hinder and support quality improvement in education. The research focuses on the management functions of planning, organizing, implementing, and controlling. Utilizing a qualitative approach, the study seeks to understand the experiences of the research subjects through observation, documentation, and interviews. Data analysis involves reduction, presentation, and conclusion drawing. Findings indicate that while the management functions are recognized, their execution is insufficient, resulting in ineffective programs. Inhibiting factors include inadequate infrastructure, insufficient funding, and low-quality educators. Supporting factors are strong leadership, good coordination and cooperation, and teachers' classroom management skills.

Exploring the factors impacting choice and quality of overnight private hospital stays and consumer perspectives on patient reported experience measures (PREMs) in Australia: a qualitative interview study

ObjectivesPatient reported experience measures (PREMs) are tools often utilised in hospitals to support quality improvements and to provide objective feedback on care experiences. Less commonly PREMs can be used to support consumers choices in their hospital care. Little is known about the experience and views of the Australian consumer regarding PREMs nor the considerations these consumers have when they need to make decisions about attending hospital. This study aimed to explore consumer awareness of PREMs, consumer attitudes towards PREMs and the utility of PREMs as a decision-making tool in accessing hospital care.MethodsQualitative study involving semi-structured interviews conducted over the phone. Participants (n = 40) were recruited from across Australia and purposively sampled according to key characteristics: holding private health insurance, > 30-years of age, may have accessed private hospital care in the past year, variety of educational and cultural backgrounds, and if urban or rural residing. Interviews were audio-recorded, transcribed, and analysed thematically.ResultsFour overarching themes and six subthemes were identified from the data. Major findings were that prior awareness of PREMs was limited; however, many had filled in a PREM either for themselves or for someone they cared for following a hospital stay. Most respondents preferred to listen to experience of self or family/friends or the recommendation of their physician when choosing a hospital to attend. Participants appeared to be more interested in the treating clinician than the hospital with this clinician often dictating the hospital or hospital options. If provided choice in hospital, issues of additional costs, timeliness of treatment and location were important factors.ConclusionWhile PREMs were considered a possible tool to assist in hospital decision-making process, previous hospital experiences, the doctor and knowing up-front cost are an overriding consideration for consumers when choosing their hospital. Consideration to format and presentation of PREMs data is needed to facilitate understanding and allow meaningful comparisons. Future research could examine the considerations of those consumers who primarily access public healthcare facilities and how to improve the utility of PREMs.

The utility of website-based quality improvement tools for health professionals: a systematic review.

As technology continues to advance, it is important to understand how website-based tools can support quality improvement. Website-based tools refer to resources such as toolkits that users can access and use autonomously through a dedicated website. This review examined how website-based tools can support healthcare professionals with quality improvement, including the optimal processes used to develop tools and the elements of an effective tool. A systematic search of seven databases was conducted to include articles published between January 2012 and January 2024. Articles were included if they were peer reviewed, written in English, based in health settings, and reported the development or evaluation of a quality improvement website-based tool for professionals. A narrative synthesis was conducted using NVivo. Risk of bias was assessed using the Mixed Methods Appraisal Tool. All papers were independently screened and coded by two authors using a six-phase conceptual framework by Braun and Clarke. Eighteen studies met the inclusion criteria. Themes identified were tool development processes, quality improvement mechanisms and barriers and facilitators to tool usage. Digitalizing existing quality improvement processes (n = 7), identifying gaps in practice (n = 6), and contributing to professional development (n = 3) were common quality improvement aims. Tools were associated with the reported enhancement of accuracy and efficiency in clinical tasks, improvement in adherence to guidelines, facilitation of reflective practice, and provision of tailored feedback for continuous quality improvement. Common features were educational resources (n = 7) and assisting the user to assess current practices against standards/recommendations (n = 6), which supported professionals in achieving better clinical outcomes, increased professional satisfaction and streamlined workflow in various settings. Studies reported facilitators to tool usage including relevance to practice, accessibility, and facilitating multidisciplinary action, making these tools practical and time-efficient for healthcare. However, barriers such as being time consuming, irrelevant to practice, difficult to use, and lack of organizational engagement were reported. Almost all tools were co-developed with stakeholders. The co-design approaches varied, reflecting different levels of stakeholder engagement and adoption of co-design methodologies. It is noted that the quality of included studies was low. These findings offer valuable insights for future development of quality improvement website-based tools in healthcare. Recommendations include ensuring tools are co-developed with healthcare professionals, focusing on practical usability and addressing common barriers to enhance engagement and effectiveness in improving healthcare quality. Randomized controlled trials are warranted to provide objective evidence of tool efficacy.

Implementing a Halo Gravity Traction Program: A Multidisciplinary Endeavor.

Halo gravity traction (HGT) is a preoperative modality for children with severe spinal deformity used to optimize spine flexibility and balance while decreasing the likelihood of neurologic injury. HGT is a dependable solution for these challenging spinal deformities. Aligning treatment guidelines and providing resources, education, and training for staff are key components for a successful HGT program. The HGT program at Children's Mercy Hospital was then developed with a systems approach with the holistic goal of multidisciplinary collaboration with physical/occupational therapy, hospital medicine, pulmonology, psychology, nutrition, child life, and complex care management. Education, research, and national collaboration to standardize this therapy should improve patient safety and support quality improvement.

Food web collapse and regime shift following goldfish introduction in permanent ponds.

In a global context of invasive alien species (IAS), native predators are often eradicated by functionally different IAS, which may induce complex cascading consequences on ecosystem functioning because of the key role predators play in structuring communities and stabilizing food webs. In permanent ponds, the most abundant freshwater systems on Earth, global human-mediated introductions of alien omnivores such as the pet trade goldfish are driving broad-scale patterns of native predators' exclusion, but cascading consequences on food web structure and functioning are critically understudied. We compared food webs of naturally fishless ponds versus ponds where dominant native predators (newts) had been extirpated by invasive goldfish within the last decade. Integrating community-wide isotopic, taxonomic and functional traits approaches, our study reveals that pond food webs collapsed in both vertical and horizontal dimensions following goldfish introduction and the associated exclusion of native predators. Consumer taxonomic diversity was drastically reduced, essentially deprived of amphibians as well as predatory and mobile macroinvertebrates to the profit of burrowing, lower trophic level consumers (detritivores). Changes in community structure and function underlined a regime shift from a macrophyte-dominated system mainly characterized by benthic primary production (periphyton), to a macrophyte-depleted state of ponds hosting communities mainly associated with phytoplankton primary production and detritus accumulation, with higher tolerance to eutrophication and low dissolved oxygen concentration. Results underline major impacts of widely introduced omnivores such as the goldfish on the functioning of pond ecosystems with potentially dramatic consequences on the key ecosystem services they deliver, such as global biodiversity support or water quality improvement. They also shed light on the key role of submerged aquatic vegetation in supporting diverse communities and complex food webs in shallow lentic systems and call for urgent consideration of threats posed by IAS on ponds' ecosystems by managers and policymakers.