We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
The Pediatric Acute Care Cardiology Collaborative (PAC3) previously showed decreased postoperative chest tube duration and length of stay in children undergoing 9 Society of Thoracic Surgeons benchmark operations. Here we report how these gains were sustained over time and spread to 8 additional centers within the PAC3 network.
Methods:
Patient data were prospectively collected across baseline and intervention phases at the original 9 centres (Pioneer) and 8 new centres (Spread). The Pioneer baseline phase was 6/2017–6/2018 and Spread was 5/2019–9/2019. The Pioneer intervention phase was 7/2018–7/2021 and Spread 10/2019–7/2021. The primary outcome measure was postoperative chest tube duration in hours, with the aim of 20% overall reduction. Balancing measures included chest tube reinsertion and readmission for pleural effusion. Statistical process control methods and traditional statistics were used to analyse outcomes over time.
Results:
Among 5,042 patients at 17 centres, demographics were comparable. The Pioneer cohort (n = 3,383) sustained a 22.6% reduction in mean chest tube duration (from 91.9 hours to 70.5 hours), while the Spread cohort (n = 1,659) showed a 9.7% reduction (from 73.1 hours to 66.0 hours) in the first 13 months following intervention. Across both cohorts, rates of reinsertion (2.0% versus 2.1%, p = 0.869) and readmission for effusion did not change (0.3% versus 0.5%, p = 0.285).
Conclusions:
This multicenter prospective quality improvement study demonstrated sustained reduction in chest tube duration at 9 centres while successfully spreading improvement to 8 additional centres. This project serves as a model for post-operative multicentre quality improvement across a large cohort of congenital cardiac surgery patients.
Using audit to identify where improvement is needed and providing feedback to healthcare professionals to encourage behaviour change is an important healthcare improvement strategy. In this Element, the authors review the evidence base for using audit and feedback to support improvement, summarising its historical origins, the theories that guide it, and the evidence that supports it. Finally, the authors review limitations and risks with the approach, and outline opportunities for future research. This title is also available as open access on Cambridge Core.
Quality improvement programmes (QIPs) are designed to enhance patient outcomes by systematically introducing evidence-based clinical practices. The CONQUEST QIP focuses on improving the identification and management of patients with COPD in primary care. The process of developing CONQUEST, recruiting, preparing systems for participation, and implementing the QIP across three integrated healthcare systems (IHSs) is examined to identify and share lessons learned.
Approach and development:
This review is organized into three stages: 1) development, 2) preparing IHSs for implementation, and 3) implementation. In each stage, key steps are described with the lessons learned and how they can inform others interested in developing QIPs designed to improve the care of patients with chronic conditions in primary care.
Stage 1 was establishing and working with steering committees to develop the QIP Quality Standards, define the target patient population, assess current management practices, and create a global operational protocol. Additionally, potential IHSs were assessed for feasibility of QIP integration into primary care practices. Factors assessed included a review of technological infrastructure, QI experience, and capacity for effective implementation.
Stage 2 was preparation for implementation. Key was enlisting clinical champions to advocate for the QIP, secure participation in primary care, and establish effective communication channels. Preparation for implementation required obtaining IHS approvals, ensuring Health Insurance Portability and Accountability Act compliance, and devising operational strategies for patient outreach and clinical decision support delivery.
Stage 3 was developing three IHS implementation models. With insight into the local context from local clinicians, implementation models were adapted to work with the resources and capacity of the IHSs while ensuring the delivery of essential elements of the programme.
Conclusion:
Developing and launching a QIP programme across primary care practices requires extensive groundwork, preparation, and committed local champions to assist in building an adaptable environment that encourages open communication and is receptive to feedback.
Nidumolu et al’s article in BJPsych Advances illustrates how psychiatrists might use the key concepts of quality improvement (QI) to analyse and improve mental healthcare systems. This commentary on the article points out the importance of recognising the type of problem for which QI is best suited and the role of softer, relational approaches alongside the technical tools of improvement. It also highlights that QI can bring broader benefits to a team and organisation, including improvements in staff engagement and well-being. In mental health services, psychiatrists can play a key role in enabling and role-modelling this approach to problem-solving, as their extensive experience of leading multidisciplinary teams and shared decision-making with patients can be a great asset in QI.
There is wide variation in institutional sedation strategies in paediatric cardiac ICU. Validated tools such as State Behavioral Scale and Richmond Agitation Sedation Scale were created to help standardise sedation practices.
Methods:
This is a multi-phase, multicentre, prospective project with the goal of optimising safety and comfort for paediatric cardiac ICU patients. Phase one consisted of an educational intervention with a self-paced, web-based video module on optimal sedation practices using validated sedation screening tools. Participant knowledge was assessed via a de-identified, unmatched pre- and post-test survey. Survey scores were reported as an aggregate average score and compared using a t-test.
Results:
There were 259 pre-tests, and 142 post-tests collected during the video-assisted educational intervention. There was a significant increase in mean score on the post-test compared to the pre-test for both instruments: from 4 to 4.8/10 for State Behavioral Scale (p = 0.01) and from 4.5 to 4.9 for Richmond Agitation Sedation Scale (p = 0.04). 81% of respondents who completed the Richmond Agitation Sedation Scale post-test and 88.1% of those who completed the State Behavioral Scale post-test said their practice would change based on the new knowledge acquired.
Conclusion:
We report that our newly developed learning module intervention was effective in increasing short-term knowledge about optimal sedation and sedation scoring. Ongoing phase two efforts include evaluation of long-term compliance of validated sedation screening tools and developing an objective score to measure individual cumulative opioid dosing in the cardiac critical care unit.
To assess the outcomes of a protocol-led, same-day discharge for elective tonsillectomy patients.
Design
A retrospective case-series of all tonsillectomies performed from January 2018 to May 2023 at a tertiary hospital in Adelaide, Australia. The primary outcome was rate of readmission within 24 hours for same-day surgery compared to hospital-stay tonsillectomy patients. Secondary outcomes included post-tonsillectomy haemorrhage.
Results
During the study period, 1658 elective tonsillectomies were performed, with 664 patients (40.0 per cent) discharged the same day following tonsillectomy. The readmission rate within 24 hours was comparable between the two groups: 0.60 per cent for day surgery and 0.64 per cent for those who stayed overnight in hospital (Χ2(1, N = 1600) = 0.009, p = 0.9244). The primary post-tonsillectomy haemorrhage rate for day-surgery patients was 0.3 per cent, with a relative risk of 0.5 (Χ2(1, N = 1658) = 0.751, p = 0.3862).
Conclusion
The low readmission and primary post-tonsillectomy haemorrhage rates indicate that a protocol-led, same-day tonsillectomy is safe and feasible to implement in carefully selected patients.
Restrictions on family presence during the COVID-19 pandemic negatively impacted the health of patients and their families. Although there was an expressed need for family involvement in care, guidelines for integrating family members as care partners were lacking. To facilitate family members’ involvement, the Designated Care Partner (DCP) program was implemented at a community hospital. This paper describes the development, implementation, and evaluation of this program. Findings aim to inform healthcare organizations that are seeking ways to integrate family members as care partners.
Mass casualty incidents (MCI) overwhelm health care systems; however, MCIs are infrequent and require ongoing preparatory efforts. Although there is dedicated disaster medicine education in emergency medicine, most pediatric emergency medicine (PEM) fellows complete pediatric residencies. Pediatric residents have variable exposure to disaster training as part of their curriculum. To improve this, a quality improvement (QI) initiative was implemented to increase MCI comfort and knowledge amongst PEM fellows.
Methods
This study took place in a single-center tertiary pediatric hospital, amongst 1 cohort of PEM fellows. Following a baseline survey, a key driver diagram was developed to guide Plan-Do-Study-Act (PDSA) cycles. A focused disaster curriculum was provided to fellows and specific quick references were developed. Knowledge application interventions included mock triage, response scavenger hunt, and tabletop MCI exercise.
Results
PEM fellow comfort and knowledge of MCI response improved from an average of 2.93 to 6.56 on a 10-point Likert scale, and 3.71 to 6.58 on 10-point Likert scale respectively following the active intervention cycle and showed sustained results over a 6-month period without further interventions.
Conclusions
Utilizing QI methodology, PEM fellow comfort with MCI response, and knowledge of MCI response increased. As MCIs are a rare occurrence, ongoing assessment is necessary to evaluate the need for further interventions to maintain knowledge and comfort levels.
Stroke clinical registries are critical for systems planning, quality improvement, advocacy and informing policy. We describe the methodology and evolution of the Registry of the Canadian Stroke Network/Ontario Stroke Registry in Canada.
Methods:
At the launch of the registry in 2001, trained coordinators prospectively identified patients with acute stroke or transient ischemic attack (TIA) at comprehensive stroke centers across Canada and obtained consent for registry participation and follow-up interviews. From 2003 onward, patients were identified from administrative databases, and consent was waived for data collection on a sample of eligible patients across all hospitals in Ontario and in one site in Nova Scotia. In the most recent data collection cycle, consecutive eligible patients were included across Ontario, but patients with TIA and those seen in the emergency department without admission were excluded.
Results:
Between 2001 and 2013, the registry included 110,088 patients. Only 1,237 patients had follow-up interviews, but administrative data linkages allowed for indefinite follow-up of deaths and other measures of health services utilization. After a hiatus, the registry resumed data collection in 2019, with 13,828 charts abstracted to date with a focus on intracranial vascular imaging, identification of intracranial occlusions and treatment with thrombectomy.
Conclusion:
The Registry of the Canadian Stroke Network/Ontario Stroke Registry is a large population-based clinical database that has evolved throughout the last two decades to meet contemporary stroke needs. Registry data have been used to monitor stroke quality of care and conduct outcomes research to inform policy.
Quality improvement (QI) is an evidence-based approach to analysing and improving healthcare systems. QI's success has led it to become a required competency expected of medical professionals in several countries. However, much of the QI literature to date has not focused on mental health. Moreover, many psychiatrists have no formal training in QI. To address this gap, this article introduces key QI concepts, including six dimensions of quality care, the Model for Improvement and plan–do–study–act cycles. Each QI concept is illustrated using a fictitious case study of an out-patient psychiatrist reducing chronic benzodiazepine use in their clinic.
Patients with stroke while hospitalized experience important delays in symptom recognition. This study aims to describe the overall management of an in-hospital stroke population and how it compares with an out-of-hospital community-onset stroke population.
Methods:
In this retrospective observational study, we included consecutive patients with in-hospital and out-of-hospital strokes (both ischemic and hemorrhagic) over a period of one year treated at a comprehensive stroke center. Demographic and clinical data were extracted, and patient groups were compared with regard to stroke treatment time metrics.
Results:
A total of 362 patients diagnosed with acute stroke were included, of whom 38 (10.5%) had in-hospital and 324 (89.5%) had out-of-hospital strokes. The median delay to stroke recognition (time between the last time seen well and first time seen symptomatic) was significantly longer in in-hospital compared to out-of-hospital strokes (77.5 [0–334.8] vs. 0 [0–138.5] min, p = 0.04). The median time interval from stroke code activation to the arrival of the stroke team at the bedside was significantly shorter in in-hospital versus out-of-hospital cases (10 [6–15] vs. 15 [8–24.8] min, p = 0.01). In-hospital strokes were less likely to receive thrombolysis (12.8% vs. 45.4%, p < 0.01) with significantly higher mortality (18.2% versus 2.6%, p < 0.01) and longer overall median hospital stay (3 [1–7] vs. 12 days [7–23], p < 0.01) compared to out-of-hospital strokes.
Conclusion:
This study showed significant delays in stroke symptom recognition and stroke code activation for in-hospital stroke patients despite comparable overall stroke time metrics. Development of in-hospital stroke protocols and systematic staff training on stroke symptom recognition should be implemented to improve care for hospitalized patients.
People with intellectual disability (PwID) and epilepsy have increased premature and potentially preventable mortality. This is related to a lack of equitable access to appropriate care. The Step Together guidance and toolkit, developed with patient, clinical, charity and commissioning stakeholders, allows evaluation and benchmarking of essential epilepsy service provision for PwID in eight key domains, at a care system level.
Aims
To evaluate care provisions for adult PwID and epilepsy at a system level in the 11 integrated care systems (ICSs) of the Midlands, the largest NHS England region (population: approximately 11 million), using the Step Together toolkit
Method
Post training, each ICS undertook its benchmarking with the toolkit and submitted their scores to Epilepsy Action, a national UK epilepsy charity, who oversaw the process. The outcomes were analysed descriptively to provide results, individual and cumulative, at care domain and system levels.
Results
The toolkit was completed fully by nine of the 11 ICSs. Across all eight domains, overall score was 44.2% (mean 44.2%, median 43.3%, range 52.4%, interquartile range 23.8–76.2%). The domains of local planning (mean 31.1%, median 27.5%) and care planning (mean 31.4%, median 35.4%) scored the lowest, and sharing information scored the highest (mean 55.2%, median 62.5%). There was significant variability across each domain between the nine ICS. The user/carer participation domain had the widest variation across ICSs (0–100%).
Conclusions
The results demonstrate a significant variance in service provision for PwID and epilepsy across the nine ICSs. The toolkit identifies specific areas for improvement within each ICS and region.
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.
Methods:
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.
Results:
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%).
Conclusion:
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.
Underrepresentation of people from racial and ethnic minoritized groups in clinical trials threatens external validity of clinical and translational science, diminishes uptake of innovations into practice, and restricts access to the potential benefits of participation. Despite efforts to increase diversity in clinical trials, children and adults from Latino backgrounds remain underrepresented. Quality improvement concepts, strategies, and tools demonstrate promise in enhancing recruitment and enrollment in clinical trials. To demonstrate this promise, we draw upon our team’s experience conducting a randomized clinical trial that tests three behavioral interventions designed to promote equity in language and social-emotional skill acquisition among Latino parent–infant dyads from under-resourced communities. The recruitment activities took place during the COVID-19 pandemic, which intensified the need for responsive strategies and procedures. We used the Model for Improvement to achieve our recruitment goals. Across study stages, we engaged strategies such as (1) intentional team formation, (2) participatory approaches to setting goals, monitoring achievement, selecting change strategies, and (3) small iterative tests that informed additional efforts. These strategies helped our team overcome several barriers. These strategies may help other researchers apply quality improvement tools to increase participation in clinical and translational research among people from minoritized groups.
Central venous lines (CVLs) are frequently utilized in critically ill patients and confer a risk of central line-associated bloodstream infections (CLABSIs). CLABSIs are associated with increased mortality, extended hospitalization, and increased costs. Unnecessary CVL utilization contributes to CLABSIs. This initiative sought to implement a clinical decision support system (CDSS) within an electronic health record (EHR) to quantify the prevalence of potentially unnecessary CVLs and improve their timely removal in six adult intensive care units (ICUs).
Methods:
Intervention components included: (1) evaluating existing CDSS’ effectiveness, (2) clinician education, (3) developing/implementing an EHR-based CDSS to identify potentially unnecessary CVLs, (4) audit/feedback, and (5) reviewing EHR/institutional data to compare rates of removal of potentially unnecessary CVLs, device utilization, and CLABSIs pre- and postimplementation. Data was evaluated with statistical process control charts, chi-square analyses, and incidence rate ratios.
Results:
Preimplementation, 25.2% of CVLs were potentially removable, and the mean weekly proportion of these CVLs that were removed within 24 hours was 20.0%. Postimplementation, a greater proportion of potentially unnecessary CVLs were removed (29%, p < 0.0001), CVL utilization decreased, and days between CLABSIs increased. The intervention was most effective in ICUs staffed by pulmonary/critical care physicians, who received monthly audit/feedback, where timely CVL removal increased from a mean of 18.0% to 30.5% (p < 0.0001) and days between CLABSIs increased from 17.3 to 25.7.
Conclusions:
A significant proportion of active CVLs were potentially unnecessary. CDSS implementation, in conjunction with audit and feedback, correlated with a sustained increase in timely CVL removal and an increase in days between CLABSIs.
In 2021, Solent NHS Trust advertised for a fully remote consultant psychiatrist to meet increasing clinical demand. This pilot scheme was evaluated to determine its success. The job applications underwent content analysis, recruitment and support staff were interviewed, and in-depth rolling interviews were conducted with the three now-employed virtual psychiatrists.
Results
We have gained an objective understanding of this new and innovative way of working and, overall, shown that fully remote working in the National Health Service (NHS) is feasible.
Implications
The findings were used to create a step-by-step guide for the remote hiring process, which outlines the necessary steps for conducting it in a safe, swift and successful way. This guide could help other NHS organisations to advertise, recruit and manage fully remote employees.
Institutional Development Awards for Clinical and Translational Research (IDeA-CTR) networks, funded by NIH/NIGMS, aim to advance CTR infrastructure to address historically unmet state and regional health needs. Success depends on the response to actionable feedback to IDeA-CTR leadership from network partners and governance groups through annual surveys, interviews, and governance body recommendations. The Great Plains IDeA-CTR applied internal formative meta-evaluation to evaluate dispositions of 172 governance recommendations from 2017 to 2021. Results provided insights to improve the classification and quality of recommendations, credibility of evaluation processes, responsiveness to recommendations, and communications and governance in a complex CTR network comprising multiple coalitions.
Effective health-care makes a large and increasing contribution to preventing disease and prolonging life by reducing the population burden of disease. However, only the right kind of health-care delivered in the right way, at the right time, to the right person can improve health. Health-care interventions that are powerful enough to improve population health are also powerful enough to cause harm if incorrectly used. How can public health specialists know whether their interventions are having the desired effect? Clinicians can monitor the impact of their treatments on an individual patient basis, but how do we examine the impact of a new service? This chapter looks at what we mean by quality of health-care and considers some frameworks for its evaluation.