A retrospective audit of postoperative days alive and out of hospital, including before and after implementation of the WHO surgical safety checklist.

We implemented the World Health Organization surgical safety checklist at Auckland City Hospital from November 2007. We hypothesised that the checklist would reduce postoperative mortality and increase days alive and out of hospital, both measured to 90 postoperative days. We compared outcomes for cohorts who had surgery during 18-month periods before vs. after checklist implementation. We also analysed outcomes during 9 years that included these periods (July 2004-December 2013). We analysed 9475 patients in the 18-month period before the checklist and 10,589 afterwards. We analysed 57,577 patients who had surgery from 2004 to 2013. Mean number of days alive and out of hospital (95%CI) in the cohort after checklist implementation was 1.0 (0.4-1.6) days longer than in the cohort preceding implementation, p < 0.001. Ninety-day mortality was 395/9475 (4%) and 362/10,589 (3%) in the cohorts before and after checklist implementation, multivariable odds ratio (95%CI) 0.93 (0.80-1.09), p = 0.4. The cohort changes in these outcomes were indistinguishable from longer-term trends in mortality and days alive and out of hospital observed during 9 years, as determined by Bayesian changepoint analysis. Postoperative mortality to 90 days was 228/5686 (4.0%) for Maori and 2047/51,921 (3.9%) for non-Maori, multivariable odds ratio (95%CI) 0.85 (0.73-0.99), p = 0.04. Maori spent on average (95%CI) 1.1 (0.5-1.7) fewer days alive and out of hospital than non-Maori, p < 0.001. In conclusion, our patients experienced improving postoperative outcomes from 2004 to 2013, including the periods before and after implementation of the surgical checklist. Maori patients had worse outcomes than non-Maori.

Checklist for follow-up of adolescents with chronic illness. A monitoring tool to help prepare the transition from pediatric to adult care.

Adolescence can be a particularly challenging period for individuals with a chronic illness. To help the specialized healthcare teams, an expert panel drafted a checklist of topics to be addressed throughout adolescence that are often not covered in subspecialty clinic visits such as peers, coping, adherence, understanding of illness, sexuality, etc., since these topics apply to youth with special healthcare needs. Each member of the specialized team can discuss one of the themes according to their role with the adolescent as a doctor, educator, nurse, dietician, etc. The coherence of the team enables a comprehensive approach and will facilitate the transition to adult medical care.

Measuring resilience in children: a review of recent literature and recommendations for future research.

PURPOSE OF REVIEW: Understanding variability in developmental outcomes following exposure to early life adversity (ELA) has been an area of increasing interest in psychiatry, as resilient outcomes are just as prevalent as negative ones. However, resilient individuals are understudied in most cohorts and even when studied, resilience is typically defined as an absence of psychopathology. This review examines current approaches to resilience and proposes more comprehensive and objective ways of defining resilience. RECENT FINDINGS: Of the 36 studies reviewed, the most commonly used measure was the Strengths and Difficulties Questionnaire (n = 6), followed by the Child Behavior Checklist (n = 5), the Resilience Scale for Chinese Adolescents (n = 5), the Rosenberg Self-Esteem Scale (n = 4), and the Child and Youth Resilience Scale (n = 3). SUMMARY: This review reveals that studies tend to rely on self-report methods to capture resilience which poses some challenges. We propose a complementary measure of child resilience that relies on more proactive behavioral and observational indicators; some of our preliminary findings are presented. Additionally, concerns about the way ELA is characterized as well as the influence of genetics on resilient outcomes prompts further considerations about how to proceed with resiliency research.

Preparedness and guidelines for neurosurgery in the COVID-19 era: Indian perspective from a tertiary care referral hospital.

The COVID-19 pandemic has severely impacted healthcare systems globally. The need of the hour is the development of effective strategies for protecting the lives of healthcare providers (HCPs) and judicious triage for optimal utilization of human and hospital resources. During this pandemic, neurosurgery, like other specialties, must transform, innovate, and adopt new guidelines and safety protocols for reducing the risk of cross-infection of HCPs without compromising patient care. In this article, the authors discuss the current neurosurgical practice guidelines at a high-volume tertiary care referral hospital in India and compare them with international guidelines and global consensus for neurosurgery practice in the COVID-19 era. Additionally, the authors highlight some of the modifications incorporated into their clinical practice, including those for stratification of neurosurgical cases, patient triaging based on COVID-19 testing, optimal manpower management, infrastructure reorganization, evolving modules for resident training, and innovations in operating guidelines. The authors recommend the use of their blueprint for stratification of neurosurgical cases, including their protocol for algorithmic patient triage and management and their template for manpower allocation to COVID-19 duty, as a replicable model for efficient healthcare delivery.

Development and Psychometrics Test of Home Environment Assessment Checklist for Community-Dwelling Older Adults with Dementia.

BACKGROUND: Home environment is a core domain in the care of community-dwelling older adults with dementia, but there is no suitable instrument to measure it in China. OBJECTIVE: To develop and psychometrically test the home environment assessment checklist for community-dwelling older adults with dementia. METHODS: A three-step process was performed to develop and test this instrument: 1) based on the evidence-based theory, the checklist was summarized as the main points of evidence from living environment settings among older adults with dementia, 2) the draft tool was assigned to an iterative process of evaluation by a panel of examiners consisting of experts from treatment, nursing and caring, people with dementia and their caregivers, 3) inter-rater reliability and internal consistency were calculated with a sample of 348 caregivers of the older adults with dementia. RESULTS: The HEAC consisted of 71 items in domains addressing safety, stability and familiarity, visual cues, and sensory stimulation. Psychometric evaluation showed that this tool demonstrated sound reliability and validity. Content validity was 0.969 which was established by a panel of experts (n = 10). Inter-rater reliability of two researchers was 0.978, and 0.848 for researchers and caregivers. Test-retest reliability was excellent (ICC = 0.757-0.877) in community-dwelling older adults with dementia 2 week apart. CONCLUSION: The HEAC is a new tool to help collect the reliable information on the barriers and facilitators of home environment for community-dwelling older adults with dementia and to precipitate the home modification process to improve the quality of care for people with dementia and their caregivers in daily life.

Use of a Transfusion Checklist by Student Nurses to Improve Patient Safety.

Better education around the recognition of transfusion-associated adverse events is warranted. It is unknown if checklist use improves recognition by student nurses. This study examined whether using a checklist could improve transfusion-associated adverse event recognition behaviors. There was an increased frequency of transfusion-associated adverse event management behaviors in the checklist group, but overall recognition was no greater than other groups. A transfusion-associated adverse event checklist may increase patient safety by promoting identification behaviors.

Obtaining and Modeling Variability in Travel Times From Off-Site Satellite Clinics to Hospitals and Surgery Centers for Surgeons and Proceduralists Seeing Office Patients in the Morning and Performing a To-Follow List of Cases in the Afternoon.

BACKGROUND: Hospitals achieve growth in surgical caseload primarily from the additive contribution of many surgeons with low caseloads. Such surgeons often see clinic patients in the morning then travel to a facility to do 1 or 2 scheduled afternoon cases. Uncertainty in travel time is a factor that might need to be considered when scheduling the cases of to-follow surgeons. However, this has not been studied. We evaluated variability in travel times within a city with high traffic density. METHODS: We used the Google Distance Matrix application programming interface to prospectively determine driving times incorporating current traffic conditions at 5-minute intervals between 9:00 AM and 4:55 PM during the first 4 months of 2018 between 4 pairs of clinics and hospitals in the University of Miami health system. Travel time distributions were modeled using lognormal and Burr distributions and compared using the absolute and signed differences for the median and the 0.9 quantile. Differences were evaluated using 2-sided, 1-group t tests and Wilcoxon signed-rank tests. We considered 5-minute signed differences between the distributions as managerially relevant. RESULTS: For the 80 studied combinations of origin-to-destination pairs (N = 4), day of week (N = 5), and the hour of departure between 10:00 AM and 1:55 PM (N = 4), the maximum difference between the median and 0.9 quantile travel time was 8.1 minutes. This contrasts with the previously published corresponding difference between the median and the 0.9 quantile of 74 minutes for case duration. Travel times were well fit by Burr and lognormal distributions (all 160 differences of medians and of 0.9 quantiles <5 minutes; P < .001). For each of the 4 origin-destination pairs, travel times at 12:00 PM were a reasonable approximation to travel times between the hours of 10:00 AM and 1:55 PM during all weekdays. CONCLUSIONS: During mid-day, when surgeons likely would travel between a clinic and an operating room facility, travel time variability is small compared to case duration prediction variability. Thus, afternoon operating room scheduling should not be restricted because of concern related to unpredictable travel times by surgeons. Providing operating room managers and surgeons with estimated travel times sufficient to allow for a timely arrival on 90% of days may facilitate the scheduling of additional afternoon cases especially at ambulatory facilities with substantial underutilized time.

Development and Usability Testing of the Society for Pediatric Anesthesia Pedi Crisis Mobile Application.

When life-threatening, critical events occur in the operating room, the fast-paced, high-distraction atmosphere often leaves little time to think or deliberate about management options. Success depends on applying a team approach to quickly implement well-rehearsed, systematic, evidence-based assessment and treatment protocols. Mobile devices offer resources for readily accessible, easily updatable information that can be invaluable during perioperative critical events. We developed a mobile device version of the Society for Pediatric Anesthesia 26 Pediatric Crisis paper checklists-the Pedi Crisis 2.0 application-as a resource to support clinician responses to pediatric perioperative life-threatening critical events. Human factors expertise and principles were applied to maximize usability, such as by clustering information into themes that clinicians utilize when accessing cognitive aids during critical events. The electronic environment allowed us to feature optional diagnostic support, optimized navigation, weight-based dosing, critical institution-specific phone numbers pertinent to emergency response, and accessibility for those who want larger font sizes. The design and functionality of the application were optimized for clinician use in real time during actual critical events, and it can also be used for self-study or review. Beta usability testing of the application was conducted with a convenience sample of clinicians at 9 institutions in 2 countries and showed that participants were able to find information quickly and as expected. In addition, clinicians rated the application as slightly above "excellent" overall on an established measure, the Systems Usability Scale, which is a 10-item, widely used and validated Likert scale created to assess usability for a variety of situations. The application can be downloaded, at no cost, for iOS devices from the Apple App Store and for Android devices from the Google Play Store. The processes and principles used in its development are readily applicable to the development of future mobile and electronic applications for the field of anesthesiology.

Use of Checklists in Reviews of Health Economic Evaluations, 2010 to 2018.

OBJECTIVE: It is useful for reviewers of economic evaluations to assess quality in a manner that is consistent and comprehensive. Checklists can allow this, but there are concerns about their reliability and how they are used in practice. We aimed to describe how checklists have been used in systematic reviews of health economic evaluations. METHODS: Meta-review with snowball sampling. We compiled a list of checklists for health economic evaluations and searched for the checklists' use in systematic reviews from January 2010 to February 2018. We extracted data regarding checklists used, stated checklist function, subject area, number of reviewers, and issues expressed about checklists. RESULTS: We found 346 systematic reviews since 2010 that used checklists to assess economic evaluations. The most common checklist in use was developed in 1996 by Drummond and Jefferson, and the most common stated use of a checklist was quality assessment. Checklists and their use varied within subject areas; 223 reviews had more than one reviewer who used the checklist. CONCLUSIONS: Use of checklists is inconsistent. Eighteen individual checklists have been used since 2010, many of which have been used in ways different from those originally intended, often without justification. Different systematic reviews in the same subject areas would benefit from using one checklist exclusively, using checklists as intended, and having 2 reviewers complete the checklist. This would increase the likelihood that results are transparent and comparable over time.

Lipoprotein(a) in Patients Undergoing Transcatheter Aortic Valve Replacement.

Lipoprotein(a) [Lp(a)] is a genetically determined risk factor for calcific aortic valve stenosis (CAVS) for which transcatheter aortic valve replacement (TAVR) is increasingly utilized as treatment. We evaluated the effect of a program to increase testing of and define the prevalence of elevated Lp(a) among patients undergoing TAVR. Educational efforts and incorporation of a "check-box" Lp(a) order to the preoperative TAVR order set were instituted. Retrospective chart review was performed in 229 patients requiring TAVR between May 2013 and September 2018. Of these patients, 57% had an Lp(a) level measured; testing rates increased from 0% in 2013 to 96% in 2018. Lipoprotein(a) testing occurred in 11% of patients before and in 80% of patients after the "check-box" order set ( P < .001). The prevalence of elevated Lp(a) (≥30 mg/dL) was 35%; these patients had a higher incidence of coronary artery disease requiring revascularization compared with patients with normal Lp(a) (65% vs 47%; P = .047). Patients with Lp(a) ≥30 mg/dL also had higher incidence of paravalvular leak compared with those with normal Lp(a) (13% vs 4%; P = .04). This study defines the prevalence of elevated Lp(a) in advanced stages of CAVS and provides a practice pathway to assess procedural complications and long-term outcomes of TAVR in patients with elevated Lp(a) levels.

Psychopathy and impulsivity: The relationship of psychopathy to different aspects of UPPS-P impulsivity.

Impulsivity is thought to be a major component of psychopathy. However, impulsivity is a multi-faceted concept, and different facets may have differential relationships to psychopathy. We measured impulsivity via the UPPS-P in a sample of prisoners and in patients in a personality disorder service resident in secure psychiatric care. Psychopathy in the prison sample was measured via the clinician-rated Psychopathy Checklist: Screening Version and in the patients via the Psychopathy Checklist-Revised. We found that the Lifestyle/Antisocial factor (Factor 2) was associated with acting rashly when emotional (Negative Urgency and Positive Urgency). However, the Interpersonal/Affective factor (Factor 1) was associated with reduced impulsivity in the domains of premeditation and perseverance, and its unique variance was also associated with less rash behaviour. The Interpersonal facet (Facet 1) was particularly associated with reduced impulsivity. The results show that individuals with high Interpersonal traits of psychopathy can plan carefully and are persistent in their goals. This may underpin instrumental violence and criminal behaviour. Thus, a simple unitary understanding of the relationship between psychopathy and impulsivity may not be valid and may distort the multifaceted relationship between the two concepts that could assist in the assessment and management of psychopathic offenders.

Why are hospitalisations too long? A simple checklist for identifying the main social barriers to hospital discharge from a nephrology ward.

The present increase in life span has been accompanied by an even higher increase in the burden of comorbidity. The challenges to healthcare systems are enormous and performance measures have been introduced to make the provision of healthcare more cost-efficient. Performance of hospitalisation is basically defined by the relationship between hospital stay, use of hospital resources, and main diagnosis/diagnoses and complication(s), adjusted for case mix. These factors, combined in different indexes, are compared with the performance of similar hospitals in the same and other countries. The reasons why an approach like this is being employed are clear.Cutting costs cannot be the only criteria, in particular in elderly, high-comorbidity patients: in this population, although social issues are important determinants of hospital stay, they are rarely taken into account or quantified in evaluations. Quantifying the impact of the "social barriers" to care can serve as a marker of the overall quality of treatment a network provides, and point to specific out-of-hospital needs, necessary to improve in-hospital performance. We therefore propose a simple, empiric medico-social checklist that can be used in nephrology wards to assess the presence of social barriers to hospital discharge and quantify their weight.Using the checklist should allow: identifying patients with social frailty that could complicate hospitalisation and/or discharge; evaluating the social needs of patient and entourage at the beginning of hospitalisation, adopting timely procedures, within the partnership with out-of-hospital teams; facilitating prioritization of interventions by social workers.The following ten items were empirically identified: reason for hospitalisation; hospitalisation in relation to the caregiver's problems; recurrent unplanned hospitalisations or early re-hospitalisation; social/family isolation; presence of a dependent relative in the patient's household; lack of housing or unsuitable housing/accommodation; loss of autonomy; lack of economic resources; lack of a safe environment; evidence of physical or psychological abuse.The simple tool here described needs validation; the present proposal is aimed at raising attention on the importance of non-medical issues in medical organisation in our specialty, and is open to discussion, to allow its refinement.

LAST Double Check - A Comprehensive Pre-Regional Checklist for the Busy Institution.

INTRODUCTION: Wrong site peripheral nerve blocks are included in the National Quality Forum and Joint Commission's category of "never event." Multiple attempts have been made by various groups in an effort to eliminate these events. Prior attempts to eliminate these never events include the Regional Block Preprocedural Checklist provided by the American Society of Regional Anesthesia (ASRA) taskforce. Following a series of errors involving anticoagulation prior to regional anesthesia, our department saw a need for a more comprehensive checklist. MATERIALS AND METHODS: An expert panel developed the LAST Double Check Checklist with the aim of identifying and eliminating errors associated with regional anesthesia delivery. This checklist was implemented over the course of two 30 d trial periods. Feedback was collected and any delays associated with implementation were recorded. RESULTS: There were no reported procedures performed on patients taking anticoagulation or reported case delays during the two 30 d trials. A total of 350 regional anesthetics were performed during both trials. During the first week of implementation, a patient was identified as having received enoxaparin, despite the electronic medical record showing the medication as held. The planned regional anesthetic was not performed given increased risk of bleeding. Feedback collected during the trial periods was incorporated into the final draft and implementation of the LAST Double Check for use in all locations where regional anesthesia is performed. There have been no post-implementation events reported (11-mo period, greater than 1,000 regional anesthetics performed). CONCLUSION: The LAST Double Check is a more comprehensive checklist with the aim of preventing errors associated with wrong site blocks, anticoagulation administration, and care team coordination. This checklist covers areas of the patient history that are routinely reviewed prior to regional anesthesia administration and did not contribute to delay in arrival to the operating room.

Sleep at night and association to aggressive behaviour; Patients in a Psychiatric Intensive Care Unit.

Evaluations of associations between sleep at night and aggressive behaviour in Psychiatric Intensive Care Units (PICU) are lacking. The aims were to explore if sleep duration or night-to-night variations in sleep duration correlated with aggressive behaviour and aggressive incidents the next day and through the whole admission. Fifty consecutive patients admitted to a PICU were included (521 nights) and the nurses registered the time patients were sleeping, aggressive behaviour with The Brøset Violence Checklist (BVC) and aggressive incidents with The Staff Observation Aggression Scale-Revised (SOAS-R). At admission, short sleep duration the first night correlated with aggressive behaviour the next day and admissions with violent incidents had a median of 4.0 h difference in sleep from night one to night two compared to 2.1 h for the rest of the admissions. During the stay, large absolute difference in sleep duration between two nights correlated with aggressive behaviour the next day and short sleep duration was associated with violent incidents. Short sleep duration and night-to-night variations in sleep duration are both associated with increased risk for aggression in PICUs. This observation might help to predict and prevent aggressive incidents.

The Impact of a Pediatric Shunt Surgery Checklist on Infection Rate at a Single Institution.

BACKGROUND: Shunt infections remain a significant challenge in pediatric neurosurgery. Numerous surgical checklists have been introduced to reduce infection rates. OBJECTIVE: To introduce an evidence-based shunt surgery checklist and its impact on our shunt infection rate. METHODS: Between January 1, 2008 and December 31, 2015, pediatric patients who underwent shunt surgery at our institution were indexed in a prospectively maintained database. All definitive shunt procedures were included. Shunt infection was defined according to the Center for Disease Control and Prevention's National Hospital Safety Network surveillance definition for surgical site infection. Clinical and procedural variables were abstracted per procedure. Infection data were compared for the 4 year before and 4 year after protocol implementation. Compliance was calculated from retrospective review of our checklists. RESULTS: Over the 8-year study period, 1813 procedures met inclusion criteria with a total of 37 shunt infections (2%). Prechecklist (2008-2011) infection rate was 3.03% (28/924) and decreased to 1.01% (9/889; P = .003) postchecklist (2012-2015), representing an absolute risk reduction of 2.02% and relative risk reduction of 66.6%. One shunt infection was prevented for every 50 times the checklist was used. Those patients who developed an infection after protocol implementation were younger (0.95 years vs 3.40 years (P = .027)), but there were no other clinical or procedural variables, including time to infection, that were significantly different between the cohorts. Average compliance rate among required checklist components was 97% (range 85%-100%). CONCLUSION: Shunt surgery checklist implementation correlated with lower infection rates that persisted in the 4 years after implementation.

More Than a Tick Box: Medical Checklist Development, Design, and Use.

Despite improving patient safety in some perioperative settings, some checklists are not living up to their potential and complaints of "checklist fatigue" and outright rejection of checklists are growing. Problems reported often concern human factors: poor design, inadequate introduction and training, duplication with other safety checks, poor integration with existing workflow, and cultural barriers. Each medical setting-such as an operating room or a critical care unit-and different clinical needs-such as a shift handover or critical event response-require a different checklist design. One size will not fit all, and checklists must be built around the structure of medical teams and the flow of their work in those settings. Useful guidance can be found in the literature; however, to date, no integrated and comprehensive framework exists to guide development and design of checklists to be effective and harmonious with the flow of medical and perioperative tasks. We propose such a framework organized around the 5 stages of the checklist life cycle: (1) conception, (2) determination of content and design, (3) testing and validation, (4) induction, training, and implementation, and (5) ongoing evaluation, revision, and possible retirement. We also illustrate one way in which the design of checklists can better match user needs in specific perioperative settings (in this case, the operating room during critical events). Medical checklists will only live up to their potential to improve the quality of patient care if their development is improved and their designs are tailored to the specific needs of the users and the environments in which they are used.

The Optimize Heart Failure Care Program: Initial lessons from global implementation.

Hospitalization for heart failure (HF) places a major burden on healthcare services worldwide, and is a strong predictor of increased mortality especially in the first three months after discharge. Though undesirable, hospitalization is an opportunity to optimize HF therapy and advise clinicians and patients about the importance of continued adherence to HF medication and regular monitoring. The Optimize Heart Failure Care Program (www.optimize-hf.com), which has been implemented in 45 countries, is designed to improve outcomes following HF hospitalization through inexpensive initiatives to improve prescription of appropriate drug therapies, patient education and engagement, and post-discharge planning. It includes best practice clinical protocols for local adaptation, pre- and post-discharge checklists, and 'My HF Passport', a printed and smart phone application to improve patient understanding of HF and encourage involvement in care and treatment adherence. Early experience of the Program suggests that factors leading to successful implementation include support from HF specialists or 'local leaders', regular educational meetings for participating healthcare professionals, multidisciplinary collaboration, and full integration of pre- and post-hospital discharge checklists across care services. The Program is helping to raise awareness of HF and generate useful data on current practice. It is showing how good evidence-based care can be achieved through the use of simple clinician and patient-focused tools. Preliminary results suggest that optimization of HF pharmacological therapy is achievable through the Program, with little new investment. Further data collection will lead to a greater understanding of the impact of the Program on HF care and key indicators of success.