Vascular Access Team Central Line Dressing Changes to Reduce Infection Risk: A Focused Two-Person Approach in High-Risk Patients.

Due to low compliance by bedside nursing with a central line-associated bloodstream infection (CLABSI) prevention bundle and increased CLABSI rates, a mandatory re-education initiative at a 1200-bed university-affiliated hospital was undertaken. Despite this, 2 units, housing high-risk immunocompromised patients, continued to experience increased CLABSI rates. A quality improvement before-after project design in these units replaced bedside nursing staff with 2 nurses from the vascular access team (VAT) to perform central vascular access device (CVAD) dressing changes routinely every 7 days or earlier if needed. The VAT consistently followed the bundled components, including use of chlorhexidine gluconate (CHG)-impregnated dressings on all patients unless an allergy was identified. In this case, a non-CHG transparent semipermeable membrane dressing was used. There were 884 patients with 14 211 CVAD days in the preimplementation period and 1136 patients with 14 225 CVAD days during the postimplementation period. The VAT saw 602 (53.0%) of the 1136 patients, performing at least 1 dressing change in 98% of the patients (n = 589). The combined CLABSI rate for the 2 units decreased from 2.53 per 1000 CVAD days preintervention to 1.62 per 1000 CVAD days postintervention. The estimated incidence rate ratio (IRR) for the intervention was 0.639, a 36.1% reduction in monthly CLABSI rates during the postimplementation period.

Trends in HCAHPS Survey Scores, 2008-2019: A Quality Improvement Perspective.

BACKGROUND: HCAHPS' 2008 initial public reporting, 2012 inclusion in the Hospital Value-Based Purchasing Program (HVBP), and 2015 inclusion in Hospital Star Ratings were intended to improve patient experiences. OBJECTIVES: Characterize pre-COVID-19 (2008-2019) trends in hospital consumer assessment of healthcare providers and systems (HCAHPS) scores. RESEARCH DESIGN: Describe HCAHPS score trends overall, by phase: (1) initial public reporting period (2008-2013), (2) first 2 years of HVBP (2013-2015), and (3) initial HCAHPS Star Ratings reporting (2015-2019); and by hospital characteristics (HCAHPS decile, ownership, size, teaching affiliation, and urban/rural). SUBJECTS: A total of 3909 HCAHPS-participating US hospitals. MEASURES: HCAHPS summary score (HCAHPS-SS) and 9 measures. RESULTS: The mean 2007-2019 HCAHPS-SS improvement in most-positive-category ("top-box") responses was +5.2 percentage points/pp across all hospitals (where differences of 5pp, 3pp, and 1pp are "large," "medium," and "small"). Improvement rate was largest in phase 1 (+0.8/pp/year vs. +0.2pp/year and +0.1pp/year for phases 2 and 3, respectively). Improvement was largest for Overall Rating of Hospital (+8.5pp), Discharge Information (+7.3pp), and Nurse Communication (+6.5pp), smallest for Doctor Communication (+0.8pp). Some measures improved notably through phases 2 and 3 (Nurse Communication, Staff Responsiveness, Overall Rating of Hospital), but others slowed or reversed in Phase 3 (Communication about Medicines, Quietness). Bottom-decile hospitals improved more than other hospitals for all measures. CONCLUSIONS: All HCAHPS measures improved rapidly 2008-2013, especially among low-performing (bottom-decile) hospitals, narrowing the range of performance and improving scores overall. This initial improvement may reflect widespread, general quality improvement (QI) efforts in lower-performing hospitals. Subsequent slower improvement following the introduction of HVBP and Star Ratings may have reflected targeted, resource-intensive QI in higher-performing hospitals.

Developmental surveillance and screening practices in a pediatric oncology clinic: Initial progress of a quality improvement study.

BACKGROUND: Pediatric cancer patients' oncology teams regularly take on a primary care role, but due to the urgent nature of cancer treatment, developmental screenings may be deprioritized. This leaves patients at risk of developmental diagnoses and referrals being delayed. AIMS: Clarify the current developmental surveillance and screening practices of one pediatric oncology team. MATERIALS AND METHODS: Researchers reviewed charts for patients (n = 66) seen at a pediatric oncology clinic in a suburban academic medical center to determine engagement in developmental screening (including functioning around related areas such as speech, neurocognition, etc.) and referrals for care in these areas. RESULTS: Developmental histories were collected from all patients through admission history and physical examination (H&P), but there was no routinized follow-up. Physicians did not conduct regular developmental screening per American Academy of Pediatrics guidelines for any patients but identified n = 3 patients with needs while the psychology team routinely surveilled all patients seen during this time (n = 41) and identified n = 18 patients as having delays. DISCUSSION: Physicians did not routinely screen for development needs beyond H&P and were inconsistent in developmental follow-up/referrals. Integrated psychologists were key in generating referrals for developmental-based care. However, many oncology patients were not seen by psychologists quickly or at all, creating a significant gap in care during a crucial developmental period. CONCLUSION: The case is made for further routinization of ongoing developmental screening in pediatric oncology care.

Using quality improvement approaches to increase emergency department provider engagement in research participant enrollment during COVID-19 and opioid overdose public health emergencies.

PURPOSE: We utilized quality improvement (QI) approaches to increase emergency department (ED) provider engagement with research participant enrollment during the opioid crisis and coronavirus disease (COVID-19) pandemic. The context of this work is the Evaluating Microdosing in the Emergency Department (EMED) study, a randomized trial offering buprenorphine/naloxone to ED patients through randomization to standard or microdosing induction. Engaging providers is crucial for participant recruitment to our study. Anticipating challenges sustaining long-term engagement after a 63% decline in provider referrals four months into enrollments, we applied Plan-Do-Study-Act (PDSA) cycles to develop and implement an engagement strategy to increase and sustain provider engagement by 50% from baseline within 9 months. METHODS: Our engagement strategy was centered on Coffee Carts rounds: 5-min study-related educational presentations for providers on shift; and a secondary initiative, a Suboxone Champions program, to engage interested providers as study-related peer educators. We used provider referrals to our team as a proxy for study engagement and report the percent change in mean weekly referrals across two PDSA cycles relative to our established referral baseline. RESULTS: A QI approach afforded real-time review of interventions based on research and provider priorities, increasing engagement via mean weekly provider referrals by 14.5% and 49% across two PDSA cycles relative to baseline, respectively. CONCLUSIONS: Our Coffee Carts and Suboxone Champions program are efficient, low-barrier, educational initiatives to convey study-related information to providers. This work supported our efforts to maximally engage providers, minimize burden, and provide life-saving buprenorphine/naloxone to patients at risk of fatal overdose.

RéSUMé: BUT: Nous avons utilisé des approches d'amélioration de la qualité (AQ) pour accroître l'engagement des fournisseurs des services d'urgence (SU) avec l'inscription des participants à la recherche pendant la crise des opioïdes et la pandémie de maladie à coronavirus (COVID-19). Le contexte de ce travail est l'étude Evaluating Microdosing in the Emergency Department (EMED), un essai randomisé offrant de la buprénorphine/naloxone aux patients aux urgences par randomisation à l'induction standard ou au microdosage. L'engagement des fournisseurs est crucial pour le recrutement des participants à notre étude. En anticipant les difficultés à maintenir un engagement à long terme après une baisse de 63 % des recommandations de fournisseurs quatre mois après les inscriptions, nous avons appliqué le Plan-Do-Study-Act (PDSA) cycles d'élaboration et de mise en œuvre d'une stratégie d'engagement visant à accroître et à maintenir l'engagement des fournisseurs de 50 % par rapport au niveau de référence dans les neuf mois. MéTHODES: Notre stratégie de mobilisation était axée sur les tournées de Coffee Carts : des présentations éducatives de cinq minutes sur l'étude pour les fournisseurs sur le quart de travail; et une initiative secondaire, un programme Suboxone Champions, pour mobiliser les fournisseurs intéressés en tant que pairs éducateurs liés à l'étude. Nous avons utilisé les recommandations des fournisseurs à notre équipe comme indicateur de la participation à l'étude et nous avons signalé le pourcentage de changement dans les recommandations hebdomadaires moyennes pour deux cycles PDSA par rapport à notre base de référence établie. RéSULTATS: Une approche d'AQ a permis d'examiner en temps réel les interventions en fonction des priorités de la recherche et des fournisseurs, ce qui a augmenté l'engagement par l'intermédiaire des recommandations hebdomadaires moyennes des fournisseurs de 14,5 % et de 49 % au cours de deux cycles de PDSA par rapport au niveau de référence, respectivement. CONCLUSION: Notre programme Coffee Carts and Suboxone Champions est une initiative éducative efficace et peu contraignante qui permet de transmettre aux fournisseurs des renseignements sur les études. Ce travail a appuyé nos efforts visant à mobiliser au maximum les fournisseurs, à réduire au minimum le fardeau et à fournir de la buprénorphine/naloxone vitale aux patients à risque de surdose mortelle.

Patient experience and nurse staffing level in South Korea.

Patient experience has recently become a key driver for hospital quality improvement in South Korea, marked by the introduction of the Patient Experience Assessment (PXA) within its National Health Insurance in 2017. While the PXA has garnered special attention from the media and hospitals, there has been a lack of focus on its structural determinants, hindering continuous and sustained improvement in patient experience. Given the relatively low number of practicing nurses per 1000 population in South Korea and the significant variation in nurse staffing levels across hospitals, the staffing level of nurses in hospitals could be a crucial structural determinant of patient experience. This study examines the association between patient experience and hospital nurse staffing levels in South Korea. We used individual- and hospital-level data from the 2019 PXA, encompassing 7250 patients from 42 tertiary hospitals and 16 235 patients from 109 non-tertiary general hospitals with 300 or more beds. The dependent variables were derived from the complete set of 21 proper questions on patient experience in the Nurse and other domains. The main explanatory variable was the hospital-level Nurse Staffing Grade (NSG), employed by the National Health Insurance to adjust reimbursement to hospitals. Multilevel ordered/binomial logistic or linear regression was conducted accounting for other hospital- and patient-level characteristics as well as acknowledging the nested nature of the data. A clear, positive association was observed between patient experience in the Nurse domain and NSG, even after accounting for other characteristics. For example, the predicted probability of reporting the top-box category of "Always" to the question "How often did nurses treat you with courtesy and respect?" was 70.3% among patients from non-tertiary general hospitals with the highest NSG, compared to 63.1% among patients from their peer hospitals with the lowest NSG. Patient experience measured in other domains that were likely to be affected by nurse staffing levels also showed similar associations, although generally weaker and less consistent than in the Nurse domain. Better patient experience was associated with higher hospital nurse staffing levels in South Korea. Alongside current initiatives focused on measuring and publicly reporting patient experience, strengthening nursing and other hospital workforce should also be included in policy efforts to improve patient experience.

Improving Barriers to Timely Colonoscopies: A New Approach to Overcoming Gaps in Medical Care.

This study investigates delays in transitioning from positive noninvasive multitarget stool DNA test results to scheduled diagnostic colonoscopies and identifies strategies aimed at improving patient care. A retrospective review revealed a 53% reduction in the average time from positive multitarget stool DNA test results to ordering colonoscopies postintervention. The findings demonstrate the significance of implementing a new communication system to expedite transitions in health care processes, showcasing its potential to significantly improve efficiency in patient care and health care provider workflows across various clinical testing scenarios. The findings emphasize the transformative impact of this communication system, shedding light on its ability to streamline processes and enhance patient care and staff experience.

Research to Improve Clinical Care in Family Medicine: Big Data, Telehealth, Artificial Intelligence, and More.

This issue highlights changes in medical care delivery since the start of the COVID-19 pandemic and features research to advance the delivery of primary care. Several articles report on the effectiveness of telehealth, including its use for hospital follow-up, medication abortion, management of diabetes, and as a potential tool for reducing health disparities. Other articles detail innovations in clinical practice, from the use of artificial intelligence and machine learning to a validated simple risk score that can support outpatient triage decisions for patients with COVID-19. Notably one article reports the impact of a voluntary program using scribes in a large health system on physician documentation behaviors and performance. One article addresses the wage gap between early-career female and male family physicians. Several articles report on inappropriate testing for common health problems; are you following recommendations for ordering Pulmonary Function Tests, mt-sDNA for colon cancer screening, and HIV testing?

The Ability of Primary Care Practices to Measure and Report on Care Quality.

BACKGROUND: Creating useful clinical quality measure (CQM) reports in a busy primary care practice is known to depend on the capability of the electronic health record (EHR). Two other domains may also contribute: supportive leadership to prioritize the work and commit the necessary resources, and individuals with the necessary health information technology (IT) skills to do so. Here we describe the results of an assessment of the above 3 domains and their associations with successful CQM reporting during an initiative to improve smaller primary care practices' cardiovascular disease CQMs. METHODS: The study took place within an AHRQ EvidenceNOW initiative of external support for smaller practices across Washington, Oregon and Idaho. Practice facilitators who provided this support completed an assessment of the 3 domains previously described for each of their assigned practices. Practices submitted 3 CQMs to the study team: appropriate aspirin prescribing, use of statins when indicated, blood pressure control, and tobacco screening/cessation. RESULTS: Practices with advanced EHR reporting capability were more likely to report 2 or more CQMs. Only one-third of practices were "advanced" in this domain, and this domain had the highest proportion of practices (39.1%) assessed as "basic." The presence of advanced leadership or advanced skills did not appreciably increase the proportion of practices that reported 2 or more CQMs. CONCLUSIONS: Our findings support previous reports of limited EHR reporting capabilities within smaller practices but extend these findings by demonstrating that practices with advanced capabilities in this domain are more likely to produce CQM reports.

What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care.

Primary care physicians are likely both excited and apprehensive at the prospects for artificial intelligence (AI) and machine learning (ML). Complexity science may provide insight into which AI/ML applications will most likely affect primary care in the future. AI/ML has successfully diagnosed some diseases from digital images, helped with administrative tasks such as writing notes in the electronic record by converting voice to text, and organized information from multiple sources within a health care system. AI/ML has less successfully recommended treatments for patients with complicated single diseases such as cancer; or improved diagnosing, patient shared decision making, and treating patients with multiple comorbidities and social determinant challenges. AI/ML has magnified disparities in health equity, and almost nothing is known of the effect of AI/ML on primary care physician-patient relationships. An intervention in Victoria, Australia showed promise where an AI/ML tool was used only as an adjunct to complex medical decision making. Putting these findings in a complex adaptive system framework, AI/ML tools will likely work when its tasks are limited in scope, have clean data that are mostly linear and deterministic, and fit well into existing workflows. AI/ML has rarely improved comprehensive care, especially in primary care settings, where data have a significant number of errors and inconsistencies. Primary care should be intimately involved in AI/ML development, and its tools carefully tested before implementation; and unlike electronic health records, not just assumed that AI/ML tools will improve primary care work life, quality, safety, and person-centered clinical decision making.

Utilizing the 'Iowa Model Revised: Evidence-Based Practice' to Develop an Intervention for Use in a Hemodialysis Setting.

The development of nursing evidence within hemodialysis is challenged by the vast numbers of specialized tasks clinicians undertake. Developing an evidence base is complex and multi-faceted, requiring a collaborative and well-defined process. Commonly, a process of quality improvement is initially undertaken, whereby nurses develop a plan, undertake action, study outcomes, and review results. However, when reviewing current processes to identify and develop evidence-based practices across various health services, a more detailed and planned methodology is required. This article provides nurses with knowledge to apply a well-defined framework (the Iowa Model-Revised of Evidence-Based Practice to Promote Excel lence in Health Care) to transform a quality improvement project into the development of evidence-based practice.

Occupational Category and Professional Title Influencing the Knowledge, Attitudes and Practice (KAP) of Quality Training: A Cross-Sectional Survey From a Tertiary General Hospital.

Quality improvement is an international priority, and quality education and training are important parts of hospital quality management. The aim of this study was to understand the knowledge, attitudes and practices (KAP) and its influencing factors related to quality training in medical staff. A questionnaire survey was conducted by convenience sampling to assess the KAP of quality training in Taizhou Enze Medical Center. Principal component analysis was used to extract factors from the questionnaire. Descriptive statistics (frequency, median, mean), Kendall grade correlation analysis, and Mann-Whitney U tests were used to analyze the data. A total of 205 staff members participated in the questionnaire survey. For the 5 factors of the KAP scale, the highest score was factor F4, recognition and support for quality training (mean = 90.55, median = 100), followed by factor F3, perceived benefits (mean = 84.46, median = 85.65). Relatively lower scores were found for factor F2, quality knowledge learning and mastery (mean = 63.09, median = 63.89), and F5, quality management practices and sharing (mean = 82.07, median = 75.00). There was a correlation between the 5 factors. The scores of F2 (quality knowledge learning and mastery) for staff with senior professional titles were higher than those for staff with intermediate professional titles or below. The score of F3 (perceived benefits of quality training) in medical technicians and nurses was higher than in doctors and administrative personnel. Our findings showed that the respondents' attitude toward quality training was positive, but their knowledge mastery and practice behaviors should be further improved. Occupational category and professional title were the influencing factors of the quality training KAP. Therefore, hospital should conduct quality management training at a wider scope according to the competency requirements of different groups, and further optimize the improvement and innovation system.

Asynchronous Versus Synchronous Screening for Depression and Suicidality in a Primary Health Care System: Quality Improvement Study.

Background: Despite being a debilitating, costly, and potentially life-threatening condition, depression is often underdiagnosed and undertreated. Previsit Patient Health Questionnaire-9 (PHQ-9) may help primary care health systems identify symptoms of severe depression and prevent suicide through early intervention. Little is known about the impact of previsit web-based PHQ-9 on patient care and safety. Objective: We aimed to investigate differences among patient characteristics and provider clinical responses for patients who complete a web-based (asynchronous) versus in-clinic (synchronous) PHQ-9. Methods: This quality improvement study was conducted at 33 clinic sites across 2 health systems in Northern California from November 1, 2020, to May 31, 2021, and evaluated 1683 (0.9% of total PHQs completed) records of patients endorsing thoughts that they would be better off dead or of self-harm (question 9 in the PHQ-9) following the implementation of a depression screening program that included automated electronic previsit PHQ-9 distribution. Patient demographics and providers' clinical response (suicide risk assessment, triage nurse connection, medication management, electronic consultation with psychiatrist, and referral to social worker or psychiatrist) were compared for patients with asynchronous versus synchronous PHQ-9 completion. Results: Of the 1683 patients (female: n=1071, 63.7%; non-Hispanic: n=1293, 76.8%; White: n=831, 49.4%), Hispanic and Latino patients were 40% less likely to complete a PHQ-9 asynchronously (odds ratio [OR] 0.6, 95% CI 0.45-0.8; P<.001). Patients with Medicare insurance were 36% (OR 0.64, 95% CI 0.51-0.79) less likely to complete a PHQ-9 asynchronously than patients with private insurance. Those with moderate to severe depression were 1.61 times more likely (95% CI 1.21-2.15; P=.001) to complete a PHQ-9 asynchronously than those with no or mild symptoms. Patients who completed a PHQ-9 asynchronously were twice as likely to complete a Columbia-Suicide Severity Rating Scale (OR 2.41, 95% CI 1.89-3.06; P<.001) and 77% less likely to receive a referral to psychiatry (OR 0.23, 95% CI 0.16-0.34; P<.001). Those who endorsed question 9 "more than half the days" (OR 1.62, 95% CI 1.06-2.48) and "nearly every day" (OR 2.38, 95% CI 1.38-4.12) were more likely to receive a referral to psychiatry than those who endorsed question 9 "several days" (P=.002). Conclusions: Shifting depression screening from in-clinic to previsit led to a dramatic increase in PHQ-9 completion without sacrificing patient safety. Asynchronous PHQ-9 can decrease workload on frontline clinical team members, increase patient self-reporting, and elicit more intentional clinical responses from providers. Observed disparities will inform future improvement efforts.

Quality improvement initiative: improving obstetric triaging practices in a rural maternal hospital in central India.

Triaging of obstetric patients by emergency care providers is paramount. It helps provide appropriate and timely management to prevent further injury and complications. Standardised trauma acuity scales have limited applicability in obstetric triage. Specific obstetric triage index tools improve maternal and neonatal outcomes but remain underused. The aim was to introduce a validity-tested obstetric triage tool to improve the percentage of correctly triaged patients (correctly colour-coded in accordance with triage index tool and attended to within the stipulated time interval mandated by the tool) from the baseline of 49% to more than 90% through a quality improvement (QI) process.A team of nurses, obstetricians and postgraduates did a root cause analysis to identify the possible reasons for incorrect triaging of obstetric patients using process flow mapping and fish bone analysis. Various change ideas were tested through sequential Plan-Do-Study-Act (PDSA) cycles to address issues identified.The interventions included introduction and application of an obstetric triage index tool, training of triage nurses and residents. We implemented these interventions in eight PDSA cycles and observed outcomes by using run charts. A set of process, output and outcome indicators were used to track if changes made were leading to improvement.Proportion of correctly triaged women increased from the baseline of 49% to more than 95% over a period of 8 months from February to September 2020, and the results have been sustained in the last PDSA cycle, and the triage system is still sustained with similar results. The median triage waiting time reduced from the baseline of 40 min to less than 10 min. There was reduction in complications attributable to improper triaging such as preterm delivery, prolonged intensive care unit stay and overall morbidity. It can be thus concluded that a QI approach improved obstetric triaging in a rural maternity hospital in India.

Effect of interventions to improve safety culture on healthcare workers in hospital settings: a systematic review of the international literature.

BACKGROUND: In an era of safety systems, hospital interventions to build a culture of safety deliver organisational learning methodologies for staff. Their benefits to hospital staff are unknown. We examined the literature for evidence of staff outcomes. Research questions were: (1) how is safety culture defined in studies with interventions that aim to enhance it?; (2) what effects do interventions to improve safety culture have on hospital staff?; (3) what intervention features explain these effects? and (4) what staff outcomes and experiences are identified? METHODS AND ANALYSIS: We conducted a mixed-methods systematic review of published literature using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The search was conducted in MEDLINE, EMBASE, CINAHL, Health Business Elite and Scopus. We adopted a convergent approach to synthesis and integration. Identified intervention and staff outcomes were categorised thematically and combined with available data on measures and effects. RESULTS: We identified 42 articles for inclusion. Safety culture outcomes were most prominent under the themes of leadership and teamwork. Specific benefits for staff included increased stress recognition and job satisfaction, reduced emotional exhaustion, burnout and turnover, and improvements to working conditions. Effects were documented for interventions with longer time scales, strong institutional support and comprehensive theory-informed designs situated within specific units. DISCUSSION: This review contributes to international evidence on how interventions to improve safety culture may benefit hospital staff and how they can be designed and implemented. A focus on staff outcomes includes staff perceptions and behaviours as part of a safety culture and staff experiences resulting from a safety culture. The results generated by a small number of articles varied in quality and effect, and the review focused only on hospital staff. There is merit in using the concept of safety culture as a lens to understand staff experience in a complex healthcare system.

Comprehensive assessment of pediatric acute and inpatient care at a tertiary referral hospital in Malawi: opportunities for quality improvement.

BACKGROUND: Despite the reduction in global under-5 mortality over the last decade, childhood deaths remain high. To combat this, there has been a shift in focus from disease-specific interventions to use of healthcare data for resource allocation, evaluation of performance and impact, and accountability. This is a descriptive analysis of data derived from a prospective cohort study describing paediatric admissions to a tertiary referral hospital in Malawi for the purpose of process evaluation and quality improvement. METHODS: Using a REDCap database, we collected data for patients admitted acutely to Kamuzu Central Hospital, a tertiary referral centre in the central region. Data were collected from 17 123 paediatric inpatients from 2017 to 2020. RESULTS: Approximately 6% of patients presented with either two or more danger signs or severely abnormal vital signs. Infants less than 6 months, who had the highest mortality rate, were also the most critically ill on arrival to the hospital. Sepsis was diagnosed in about 20% of children across all age groups. Protocols for the management of high-volume, lower-acuity conditions such as uncomplicated malaria and pneumonia were generally well adhered to, but there was a low rate of completion for labs, radiology studies and subspecialty consultations required to provide care for high acuity or complex conditions. The overall mortality rate was 4%, and 60% of deaths occurred within the first 48 hours of admission. CONCLUSION: Our data highlight the need to improve the quality of care provided at this tertiary-level centre by focusing on the initial stabilisation of high-acuity patients and augmenting resources to provide comprehensive care. This may include capacity building through the training of specialists, implementation of clinical processes, provision of specialised equipment and increasing access to and reliability of ancillary services. Data collection, analysis and routine use in policy and decision-making must be a pillar on which improvement is built.

Influence of external assessment on quality and safety in surgery: a qualitative study of surgeons' perspectives.

INTRODUCTION: Transparency about the occurrence of adverse events has been a decades-long governmental priority, defining external feedback to healthcare providers as a key measure to improve the services and reduce the number of adverse events. This study aimed to explore surgeons' experiences of assessment by external bodies, with a focus on its impact on transparency, reporting and learning from serious adverse events. External bodies were defined as external inspection, police internal investigation, systems of patient injury compensation and media. METHODS: Based on a qualitative study design, 15 surgeons were recruited from four Norwegian university hospitals and examined with individual semi-structured interviews. Data were analysed by deductive content analysis. RESULTS: Four overarching themes were identified, related to influence of external inspection, police investigation, patient injury compensation and media publicity, (re)presented by three categories: (1) sense of criminalisation and reinforcement of guilt, being treated as suspects, (2) lack of knowledge and competence among external bodies causing and reinforcing a sense of clashing cultures between the 'medical and the outside world' with minor influence on quality improvement and (3) involving external bodies could stimulate awareness about internal issues of quality and safety, depending on relevant competence, knowledge and communication skills. CONCLUSIONS AND IMPLICATIONS: This study found that external assessment might generate criminalisation and scapegoating, reinforcing the sense of having medical perspectives on one hand and external regulatory perspectives on the other, which might hinder efforts to improve quality and safety. External bodies could, however, inspire useful adjustment of internal routines and procedures. The study implies that the variety and interconnections between external bodies may expose the surgeons to challenging pressure. Further studies are required to investigate these challenges to quality and safety in surgery.

Preoperative prediction model for risk of readmission after total joint replacement surgery: a random forest approach leveraging NLP and unfairness mitigation for improved patient care and cost-effectiveness.

BACKGROUND: The Center for Medicare and Medicaid Services (CMS) imposes payment penalties for readmissions following total joint replacement surgeries. This study focuses on total hip, knee, and shoulder arthroplasty procedures as they account for most joint replacement surgeries. Apart from being a burden to healthcare systems, readmissions are also troublesome for patients. There are several studies which only utilized structured data from Electronic Health Records (EHR) without considering any gender and payor bias adjustments. METHODS: For this study, dataset of 38,581 total knee, hip, and shoulder replacement surgeries performed from 2015 to 2021 at Novant Health was gathered. This data was used to train a random forest machine learning model to predict the combined endpoint of emergency department (ED) visit or unplanned readmissions within 30 days of discharge or discharge to Skilled Nursing Facility (SNF) following the surgery. 98 features of laboratory results, diagnoses, vitals, medications, and utilization history were extracted. A natural language processing (NLP) model finetuned from Clinical BERT was used to generate an NLP risk score feature for each patient based on their clinical notes. To address societal biases, a feature bias analysis was performed in conjunction with propensity score matching. A threshold optimization algorithm from the Fairlearn toolkit was used to mitigate gender and payor biases to promote fairness in predictions. RESULTS: The model achieved an Area Under the Receiver Operating characteristic Curve (AUROC) of 0.738 (95% confidence interval, 0.724 to 0.754) and an Area Under the Precision-Recall Curve (AUPRC) of 0.406 (95% confidence interval, 0.384 to 0.433). Considering an outcome prevalence of 16%, these metrics indicate the model's ability to accurately discriminate between readmission and non-readmission cases within the context of total arthroplasty surgeries while adjusting patient scores in the model to mitigate bias based on patient gender and payor. CONCLUSION: This work culminated in a model that identifies the most predictive and protective features associated with the combined endpoint. This model serves as a tool to empower healthcare providers to proactively intervene based on these influential factors without introducing bias towards protected patient classes, effectively mitigating the risk of negative outcomes and ultimately improving quality of care regardless of socioeconomic factors.

Building a NICU quality & safety infrastructure.

The American Academy of Pediatrics (AAP) Standards for Levels of Neonatal Care, published in 2023, highlights key components of a Neonatal Patient Safety and Quality Improvement Program (NPSQIP). A comprehensive Neonatal Intensive Care Unit (NICU) quality and safety infrastructure (QSI) is based on four foundational domains: quality improvement, quality assurance, safety culture, and clinical guidelines. This paper serves as an operational guide for NICU clinical leaders and quality champions to navigate these domains and develop their local QSI to include the AAP NPSQIP standards.