Error adjustments for file linking methods using encrypted unique client identifier (eUCI) with application to recently released prisoners who are HIV+.

Incarceration provides an opportunity to test for HIV, provide treatment such as highly active anti-retroviral therapy, as well as link infected persons to comprehensive HIV care upon their release. A key factor in assessing the success of a program that links released individuals to care is the time from release to receiving care in the community (linkage time). To estimate the linkage time, records from correction systems are linked to Ryan White Clinic data using encrypted Unique Client Identifier (eUCI). Most of the records that were linked using eUCI belong to the same individual; however, in some cases, it may link records incorrectly, or not identify records that should have been linked. We propose a Bayesian procedure that relies on the relationships between variables that appear in either of the data sources, as well as variables that exists in both to identify correctly linked records among all linked records. The procedure generates K datasets in which each pair of linked records is identified as a true link or a false link. The K datasets are analyzed independently, and the results are combined using Rubin's multiple imputation rules. A small validation dataset is used to examine different statistical models and to inform the prior distributions of the parameters. In comparison with previously proposed methods, the proposed method utilizes all of the available data and is both flexible and computationally efficient. In addition, this approach can be applied in other file linking applications.

Écart de mobilité : estimation des seuils de mobilité requis pour maîtriser le SRAS-CoV-2 au Canada.

CONTEXTE: Les interventions non pharmacologiques demeurent le principal moyen de maîtriser le coronavirus du syndrome respiratoire aigu sévère 2 (SRAS-CoV-2) d'ici à ce que la couverture vaccinale soit suffisante pour donner lieu à une immunité collective. Nous avons utilisé des données de mobilité anonymisées de téléphones intelligents afin de quantifier le niveau de mobilité requis pour maîtriser le SRAS-CoV-2 (c.-à-d., seuil de mobilité), et la différence par rapport au niveau de mobilité observé (c.-à-d., écart de mobilité). MÉTHODES: Nous avons procédé à une analyse de séries chronologiques sur l'incidence hebdomadaire du SRAS-CoV-2 au Canada entre le 15 mars 2020 et le 6 mars 2021. Le paramètre mesuré était le taux de croissance hebdomadaire, défini comme le rapport entre les cas d'une semaine donnée et ceux de la semaine précédente. Nous avons mesuré les effets du temps moyen passé hors domicile au cours des 3 semaines précédentes à l'aide d'un modèle de régression log-normal, en tenant compte de la province, de la semaine et de la température moyenne. Nous avons calculé le seuil de mobilité et l'écart de mobilité pour le SRAS-CoV-2. RÉSULTATS: Au cours des 51 semaines de l'étude, en tout, 888 751 personnes ont contracté le SRAS-CoV-2. Chaque augmentation de 10 % de l'écart de mobilité a été associée à une augmentation de 25 % du taux de croissance des cas hebdomadaires de SRAS-CoV-2 (rapport 1,25, intervalle de confiance à 95 % 1,20­1,29). Comparativement à la mobilité prépandémique de référence de 100 %, le seuil de mobilité a été plus élevé au cours de l'été (69 %, écart interquartile [EI] 67 %­70 %), et a chuté à 54 % pendant l'hiver 2021 (EI 52 %­55 %); un écart de mobilité a été observé au Canada entre juillet 2020 et la dernière semaine de décembre 2020. INTERPRÉTATION: La mobilité permet de prédire avec fiabilité et constance la croissance des cas hebdomadaires et il faut maintenir des niveaux faibles de mobilité pour maîtriser le SRAS-CoV-2 jusqu'à la fin du printemps 2021. Les données de mobilité anonymisées des téléphones intelligents peuvent servir à guider le relâchement ou le resserrement des mesures de distanciation physique provinciales et régionales.

A scoping review of indirect comparison methods and applications using individual patient data.

BACKGROUND: Several indirect comparison methods, including network meta-analyses (NMAs), using individual patient data (IPD) have been developed to synthesize evidence from a network of trials. Although IPD indirect comparisons are published with increasing frequency in health care literature, there is no guidance on selecting the appropriate methodology and on reporting the methods and results. METHODS: In this paper we examine the methods and reporting of indirect comparison methods using IPD. We searched MEDLINE, Embase, the Cochrane Library, and CINAHL from inception until October 2014. We included published and unpublished studies reporting a method, application, or review of indirect comparisons using IPD and at least three interventions. RESULTS: We identified 37 papers, including a total of 33 empirical networks. Of these, only 9 (27 %) IPD-NMAs reported the existence of a study protocol, whereas 3 (9 %) studies mentioned that protocols existed without providing a reference. The 33 empirical networks included 24 (73 %) IPD-NMAs and 9 (27 %) matching adjusted indirect comparisons (MAICs). Of the 21 (64 %) networks with at least one closed loop, 19 (90 %) were IPD-NMAs, 13 (68 %) of which evaluated the prerequisite consistency assumption, and only 5 (38 %) of the 13 IPD-NMAs used statistical approaches. The median number of trials included per network was 10 (IQR 4-19) (IPD-NMA: 15 [IQR 8-20]; MAIC: 2 [IQR 3-5]), and the median number of IPD trials included in a network was 3 (IQR 1-9) (IPD-NMA: 6 [IQR 2-11]; MAIC: 2 [IQR 1-2]). Half of the networks (17; 52 %) applied Bayesian hierarchical models (14 one-stage, 1 two-stage, 1 used IPD as an informative prior, 1 unclear-stage), including either IPD alone or with aggregated data (AD). Models for dichotomous and continuous outcomes were available (IPD alone or combined with AD), as were models for time-to-event data (IPD combined with AD). CONCLUSIONS: One in three indirect comparison methods modeling IPD adjusted results from different trials to estimate effects as if they had come from the same, randomized, population. Key methodological and reporting elements (e.g., evaluation of consistency, existence of study protocol) were often missing from an indirect comparison paper.

Patient access and 1-year outcomes of percutaneous coronary intervention facilities with and without on-site cardiothoracic surgery: insights from the Veterans Affairs (VA) Clinical Assessment, Reporting, and Tracking (CART) program.

BACKGROUND: The safety of percutaneous coronary intervention (PCI) at medical facilities without on-site cardiothoracic (CT) surgery has been established in clinical trials. However, the comparative effectiveness of this strategy in real-world practice, including impact on patient access and outcomes, is uncertain. The Veterans Affairs (VA) health care system has used this strategy, with strict quality oversight, since 2005, and can provide insight into this question. METHODS AND RESULTS: Among 24,387 patients receiving PCI at VA facilities between October 2007 and September 2010, 6616 (27.1%) patients underwent PCI at facilities (n=18) without on-site CT surgery. Patient drive time (as a proxy for access), procedural complications, 1-year mortality, myocardial infarction, and rates of subsequent revascularization procedures were compared by facility. Results were stratified by procedural indication (ST-segment-elevation myocardial infarction versus non-ST-segment-elevation myocardial infarction/unstable angina versus elective) and PCI volume. With the inclusion of PCI facilities without on-site CT surgery, median drive time for patients treated at those facilities decreased by 90.8 minutes (P<0.001). Procedural need for emergent coronary artery bypass graft and mortality rates were low and similar between facilities. Adjusted 1-year mortality and myocardial infarction rates were similar between facilities (hazard ratio in PCI facilities without relative to those with on-site CT surgery, 1.02; 95% confidence interval, 0.87-1.2), and not modified by either PCI indication or PCI volume. Subsequent revascularization rates were higher at sites without on-site CT surgery facilities (hazard ratio, 1.21; 95% confidence interval, 1.03-1.42). CONCLUSIONS: This study suggests that providing PCI facilities without on-site CT surgery in an integrated health care system with quality oversight improves patient access without compromising procedural or 1-year outcomes.

How good is the coverage and how accurate are exposure data in the Swedish Biologics Register (ARTIS)?

OBJECTIVES: To assess the coverage of the Swedish Biologics Register (Anti-Rheumatic Therapy in Sweden, ARTIS) across indications, and the accuracy of the registered information on treatment with biologics. METHOD: Through cross-reference of ARTIS to almost complete national health registers on prescriptions (adalimumab and etanercept), outpatient visits, and death/residency during 2008-2010, we assessed: the treatment coverage of ARTIS for each treatment indication, the validity of the registered start and stop dates, ARTIS treatments with no corresponding drug dispensations, and the accuracy of the registered information on concomitant anti-rheumatic therapies. RESULTS: According to the national health registers, 3945 individuals with a spondyloarthropathy (SpA) and 8032 patients with rheumatoid arthritis (RA) had filled at least one adalimumab or etanercept prescription during the study period. Of these, 86% of those with SpAs and 95% of patients with RA were also found in ARTIS with the corresponding treatment. Tumour necrosis factor (TNF) inhibitor prescriptions had been filled by 95% of patients between the ARTIS start and stop dates (allowing a 90-day window). More than 60 days before and more than 60 days after the registered start date in ARTIS, 5% and 4% respectively of patients had filled their first TNF inhibitor prescription. More than 90 days after the registered stop date in ARTIS, 8% of patients had filled one or more TNF inhibitor prescriptions. CONCLUSIONS: We observed a high coverage and accuracy of ARTIS data on biologics exposure, for both SpAs and RA. The combination of data from clinical registers such as ARTIS with data from national health registers offers a high quality measurement of actual treatment.

Electromagnetic interference from electronic devices used in the management of type 1 diabetes can impair the performance of an avalanche transceiver in search mode.

OBJECTIVE: Portable electronic devices play an important role in the management of type 1 diabetes mellitus. Electromagnetic interference from electronic devices has been shown to impair the function of an avalanche transceiver in search mode (but not in transmitting mode). This study investigates the influence of electromagnetic interference from diabetes devices on a searching avalanche beacon. METHODS: The greatest distance at which an avalanche transceiver (in search mode) could accurately indicate the location of a transmitting transceiver was assessed when portable electronic devices (including an insulin pump and commonly used real-time continuous subcutaneous glucose monitoring system [rtCGMS]) were held in close proximity to each transceiver. RESULTS: The searching transceiver could accurately locate a transmitted signal at a distance of 30 m when used alone. This distance was unchanged by the Dexcom G4 rtCGMS, but was reduced to 10 m when the Medtronic Guardian rtCGMS was held close (within 30 cm) to the receiving beacon. Interference from the Animas Vibe insulin pump reduced this distance to 5 m, impairing the searching transceiver in a manner identical to the effect of a cell phone. CONCLUSIONS: Electromagnetic interference produced by some diabetes devices when held within 30 cm of a searching avalanche transceiver can impair the ability to locate a signal. Such interference could significantly compromise the outcome of a companion rescue scenario. Further investigation using other pumps and rtCGMS devices is required to evaluate all available diabetes electronics. Meantime, all electronic diabetes devices including rtCGMS and insulin pumps should not be used within 30 cm of an avalanche transceiver.

Delayed family reunification of pediatric disaster survivors increases mortality and inpatient hospital costs: a simulation study.

BACKGROUND: Disasters occur randomly and can severely tax the health care delivery system of affected and surrounding regions. A significant proportion of disaster survivors are children, who have unique medical, psychosocial, and logistical needs after a mass casualty event. Children are often transported to specialty centers after disasters for a higher level of pediatric care, but this can also lead to separation of these survivors from their families. In a recent theoretical article, we showed that the availability of a pediatric trauma center after a mass casualty event would decrease the time needed to definitively treat the pediatric survivor cohort and decrease pediatric mortality. However, we also found that if the pediatric center was too slow in admitting and discharging patients, these benefits were at risk of being lost as children became "trapped" in the slow center. We hypothesized that this effect could result in further increased mortality and greater costs. METHODS: Here, we expand on these ideas to test this hypothesis via mathematical simulation. We examine how a delay in discharge of part of the pediatric cohort is predicted to affect mortality and the cost of inpatient care in the setting of our model. RESULTS: We find that mortality would increase slightly (from 14.2%-16.1%), and the cost of inpatient care increases dramatically (by a factor of 21) if children are discharged at rates consistent with reported delays to reunification after a disaster from the literature. CONCLUSIONS: Our results argue for the ongoing improvement of identification technology and logistics for rapid reunification of pediatric survivors with their families after mass casualty events.

Electromagnetic interference of avalanche transceivers with cardiac pacemakers and implantable cardioverter defibrillators.

BACKGROUND: Avalanche transceivers are essentials tools in locating persons who were buried by an avalanche. In the past few years, avalanche transceivers have become widely available and affordable, but it is largely unknown whether they are a source of electromagnetic interference for implanted cardiac devices. We aimed to determine the potential interaction between avalanche transceivers and pacemakers or implantable cardioverter defibrillators (ICDs). METHODS: One hundred and one patients, 41 with pacemakers and 60 with ICDs, were enrolled (mean age 66 ± 15 years). Four avalanche transceivers (Pieps DSP [Pieps GmbH, Lebring, Austria], Ortovox x1, Ortovox m2, and Ortovox f1 [Otovox Sportartikel GmbH, Taufkirchen, Germany]) were evaluated in transmit as well as in receive mode. Surface electrocardiograms, intracardiac electrograms, and marker channels were continuously recorded and observed by an experienced physician. Electromagnetic interference events were categorized as direct interference with the function of the implanted device itself or as interference with the telemetric communication without compromising device function. RESULTS: Among all patients, there was no interference with the intrinsic function of their pacemakers or ICDs. A total of 120 episodes of telemetry interference occurred in 48% of the patients. Of those episodes, 112 of 404 (28%) were observed in transmit and eight of 404 (2%) in receive mode (P < 0.0001). The digital avalanche transceiver (Pieps DSP) was associated with significantly less telemetry interference (20/202; 10%) than the analog transceiver (Ortovox f1) (39/202; 19%) (P = 0.0108). CONCLUSIONS: Avalanche transceivers are safe for patients with pacemakers and ICDs. Despite the observed telemetry interferences, the intrinsic function of the implanted devices was never compromised.

Emergency department conditions associated with the number of patients who leave a pediatric emergency department before physician assessment.

OBJECTIVES: As emergency department (ED) waiting times and volumes increase, substantial numbers of patients leave without being seen (LWBS) by a physician. The objective of this study was to identify ED conditions reflecting patient input, throughput, and output associated with the number of patients who LWBS in a pediatric setting. METHODS: This study was a retrospective, descriptive study using data from 1 urban, tertiary care pediatric ED. The study population consisted of all patient visits to the ED from April 2005 to March 2007. Multivariate Poisson regression analyses were used to examine the impact of the timing of patient arrival and ED conditions including patient acuity, volume, and waiting times on the number of patients who LWBS. RESULTS: During the study period, there were 138,361 patient visits corresponding to 2190 consecutive shifts; 11,055 patients (8%) left without being seen by a physician.In the multivariate analysis, the throughput variables, time from triage to physician assessment (rate ratio, 2.11; 95% confidence interval, 2.01-2.21), and time from registration to triage (rate ratio, 1.55; 95% confidence interval, 1.25-1.90) had the largest association with the number of patients who LWBS. CONCLUSIONS: In the study ED, throughput variables played a more important role than input or output variables on the number of patients who LWBS. This finding, which contrasts with a work done previously in an ED serving primarily adults, highlights the importance of pediatric specific research on the impacts of increasing ED waiting times and volumes.

[Linkage of secondary data with cancer registry data on the basis of encrypted personal identifiers - results from a pilot study in North Rhine-Westphalia]. / Abgleich von Sekundärdaten mit einem epidemiologischen Krebsregister auf der Basis verschlüsselter Personendaten - Ergebnisse einer Pilotstudie in Nordrhein-Westfalen.

BACKGROUND: The Cancer Registry of North-Rhine-Westphalia stores exclusively encrypted personal identifiers of registered cancer patients. Therefore, comparisons with secondary data sets can only be performed by record linkage procedures that are based on encrypted personal identifiers. We report on a pilot study which linked encrypted personal data from the disease management program for patients with diabetes mellitus type 2 (DMP-DM2) with the database of the EKR NRW in order to test the feasibility and efficiency of these record linkage procedures. METHODS: Personal identifying variables of the DMP records were encrypted in a 2-stage process before being sent electronically to the EKR NRW where they were subsequently submitted to a probabilistic record linkage with the registry data. The study included 27 450 participants who were insured at the AOK NordWest, residents of the district Münster and who were aged 40-79 years at the time of first enrolment to the DMP-DM2 between June 2003-July 2008. RESULTS: The electronic processing time of the semi-automatic record linkage procedure took about 24 h. Approximately 2% of the records had to be reviewed manually. After exclusion of prevalent cancer cases, multiple primaries and inadequate data, 26 742 participants (47.3% men; 52.7% women) remained in the data set. About 1 364 cohort members (759 men, 605 women) were diagnosed with cancer after submission to the disease management program. DISCUSSION: The DMP-DM2 records were encrypted and linked to cancer registry data with a moderate personnel and financial input and high efficiency. Linked records were instantly usable for epidemiological analyses. Experiences of the pilot study suggest that future linkage studies can further advance the level of data protection, without losses in efficiency, by moderately complex software modifications and amendments of the data flow.

Mapping the limits of safety reporting systems in health care--what lessons can we actually learn?

OBJECTIVES: To assess the utility of Australian health care incident reporting systems and determine the depth of information available within a typical system. DESIGN AND SETTING: Incidents relating to patient misidentification occurring between 2004 and 2008 were selected from a sample extracted from a number of Australian health services' incident reporting systems using a manual search function. MAIN OUTCOME MEASURES: Incident type, aetiology (error type) and recovery (error-detection mechanism). Analyses were performed to determine category saturation. RESULTS: All 487 selected incidents could be classified according to incident type. The most prevalent incident type was medication being administered to the wrong patient (25.7%, 125), followed by incidents where a procedure was performed on the wrong patient (15.2%, 74) and incidents where an order for pathology or medical imaging was mislabelled (7.0%, 34). Category saturation was achieved quickly, with about half the total number of incident types identified in the first 13.5% of the incidents. All 43 incident types were classified within 76.2% of the dataset. Fifty-two incident reports (10.7%) included sufficient information to classify specific incident aetiology, and 288 reports (59.1%) had sufficient detailed information to classify a specific incident recovery mechanism. CONCLUSIONS: Incident reporting systems enable the classification of the surface features of an incident and identify common incident types. However, current systems provide little useful information on the underlying aetiology or incident recovery functions. Our study highlights several limitations of incident reporting systems, and provides guidance for improving the use of such systems in quality and safety improvement.

Challenges for Joint Commission International accreditation: performance of orthopedic surgeons based on International Patient Safety Goals.

The Joint Commission International (JCI) is a US-based organization that accredits and certifies hospitals worldwide. Among the requirements for accreditation, the JCI emphasizes continuous quality improvement (CQI) with regard to international patient safety goals (IPSGs). Our university hospital treats about 26,000 hospitalized patients and 600,000 outpatients annually, and our goal is patient safety in compliance with IPSGs. The purpose of this study is to examine the activities of orthopedic surgeons in preparation for JCI accreditation, including clear identification of patients, preoperative timeout and marking to ensure correct surgery, timely approval of CT/MRI reports, care with pain management, prevention of infection, setting of quality indicators and daily monitoring, and teamwork. Examiners from the JCI visited our hospital to review medical records and documents, and to interview patients, nurses and doctors. There were 1270 evaluation items covering 16 fields, including reviews of IPSGs, patient evaluation and care, infection prevention and control, and governance and leadership. Most importantly, the efforts of all the medical staff in our hospital in obtaining the first JCI accreditation among national university hospitals in Japan have promoted the safety and quality of medical care from the perspective of the patient.

Safety practices and opportunities for improvement in brachytherapy: A patient safety practices survey of the American Brachytherapy Society membership.

PURPOSE: Safe delivery of brachytherapy and establishing a safety culture are critical in high-quality brachytherapy. The American Brachytherapy Society (ABS) Quality and Safety Committee surveyed members regarding brachytherapy services offered, safety practices during treatment, quality assurance procedures, and needs to develop safety and training materials. METHODS AND MATERIALS: A 22-item survey was sent to ABS membership in early 2019 to physicians, physicists, therapists, nurses, and administrators. Participation was voluntary. Responses were summarized with descriptive statistics and relative frequency distributions. RESULTS: There were 103 unique responses. Approximately one in three was attending physicians and one in three attending physicists. Most were in practice >10 years. A total of 94% and 50% performed gynecologic and prostate brachytherapy, respectively. Ninety-one percent performed two-identification patient verification before treatment. Eighty-six percent performed a time-out. Ninety-five percent had an incident reporting or learning system, but only 71% regularly reviewed incidents. Half reviewed safety practices within the last year. Twenty percent reported they were somewhat or not satisfied with department safety culture, but 92% of respondents were interested in improving safety culture. Most reported time, communication, and staffing as barriers to improving safety. Most respondents desired safety-oriented webinars, self-assessment modules, learning modules, or checklists endorsed by the ABS to improve safety practice. CONCLUSIONS: Most but not all practices use standards and quality assurance procedures in line with society recommendations. There is a need to heighten safety culture at many departments and to shift resources (e.g., time or staffing) to improve safety practice. There is a desire for society guidance to improve brachytherapy safety practices. This is the first survey to assess safety practice patterns among a national sample of radiation oncologists with expertise in brachytherapy.

A geospatial analysis of persons opting out of an exception from informed consent out-of-hospital clinical trial.

STUDY OBJECTIVE: For trials involving exception from informed consent, some IRBs require that community members be allowed to "opt out" prior to enrollment. We tested for geospatial clustering of opt-out requests and the associated census tract characteristics in one study region. METHODS: This was a retrospective study at a single site of a multicenter exception from informed consent resuscitation trial. We collected and geocoded mailing addresses for persons requesting opt-out bracelets over 16 months, then tested for geospatial clustering using geographic information systems (GIS) analysis. Characteristics for tracts with and without bracelet clustering were compared using univariate tests, multivariable regression, and classification and regression tree (CART) analysis. RESULTS: We received 395 phone calls requesting 718 bracelets, of which 673 were analyzable. Of 397 census tracts in the region, 208 (52%) had at least one request and 38 (10%) demonstrated clustering. In multivariable models, an increasing proportion of family households (OR .90, 95%CI .85-.93), veterans (OR .91, 95%CI .81-1.02), and renters (OR .96, 95%CI .92-.99) were associated with lower odds of requesting an opt-out bracelet, while census tracts with higher income had higher odds of opting-out (OR 1.07, 95%CI 1.02-1.11). Using CART, the proportion of family households and graduate education identified the majority of opt-out requests by census tracts (cross-validation sensitivity 92%, specificity 56%). CONCLUSIONS: Opt-out requests for an exception from informed consent trial at one study site were geographically clustered and associated with certain population demographics. These findings may help identify key target groups for community consultation in future trials.

Who is Tracking Health on Mobile Devices: Behavioral Logfile Analysis in Hong Kong.

BACKGROUND: Health apps on mobile devices provide an unprecedented opportunity for ordinary people to develop social connections revolving around health issues. With increasing penetration of mobile devices and well-recorded behavioral data on such devices, it is desirable to employ digital traces on mobile devices rather than self-reported measures to capture the behavioral patterns underlying the use of mobile health (mHealth) apps in a more direct and valid way. OBJECTIVE: The objectives of this study were to (1) assess the demographic predictors of the adoption of mHealth apps; (2) investigate the temporal pattern underlying the use of mHealth apps; and (3) explore the impacts of demographic variables, temporal features, and app genres on the use of mHealth apps. METHODS: Logfile data of mobile devices were collected from a representative panel of about 2500 users in Hong Kong. Users' mHealth app activities were analyzed. We first conducted a binary logistic regression analysis to uncover demographic predictors of users' adoption status. Then we utilized a multilevel negative binomial regression to examine the impacts of demographic characteristics, temporal features, and app genres on mHealth app use. RESULTS: It was found that 27.5% of mobile device users in Hong Kong adopt at least one genre of mHealth app. Adopters of mHealth apps tend to be female and better educated. However, demographic characteristics did not showcase the predictive powers on the use of mHealth apps, except for the gender effect (Bfemale vs Bmale=-0.18; P=.006). The use of mHealth apps demonstrates a significant temporal pattern, which is found to be moderately active during daytime and intensifying at weekends and at night. Such temporal patterns in mHealth apps use are moderated by individuals' demographic characteristics. Finally, demographic characteristics were also found to condition the use of different genres of mHealth apps. CONCLUSIONS: Our findings suggest the importance of dynamic perspective in understanding users' mHealth app activities. mHealth app developers should consider more the demographic differences in temporal patterns of mHealth apps in the development of mHealth apps. Furthermore, our research also contributes to the promotion of mHealth apps by emphasizing the differences of usage needs for various groups of users.

[Evaluation of effectiveness of corrective measures arising from incident notifications in a paediatric emergency department]. / Evaluación de la efectividad de acciones correctivas derivadas de la notificación de incidentes en urgencias pediátricas.

OBJECTIVE: To analyse the effectiveness of corrective measures arising from the analysis of safety incident notifications in the Paediatric Emergency Unit. METHODS: A quasi-experimental, prospective, and single-centre study was carried out between 2015 and 2018. In the first phase, incidents notified throughout one year were analysed. Corrective measures were then implemented for 5 specific kinds of incidents. These incidents were finally compared to those notified within 12 months after the implementation of those measures. Results were expressed as relative risk and relative risk reduction. RESULTS: A total of 1587 safety incidents were notified (0.9% of patients treated) between January 2015 and December 2017. After implementation of corrective measures, there was a decrease in all kinds of incidents notifications analysed. The incidents related to patient identification were reduced by 60.9% (RR 0.39, 95% CI; 0.25-0.60), and those regarding communication between professionals were reduced by 74.5% (RR 0.25, 95% CI; 0.12-0.55). Incidents related to sedation and analgesic procedures totally disappeared. No significant reduction was found in incidents concerning the triage system, or in those related to rapid intravenous rehydration procedures. CONCLUSIONS: The implementation of improvement actions arising from the analysis of voluntary notification of incidents is an effective strategy to improve patient effective strategy to improve.

Automatic time-motion study of a multistep preoperative process.

BACKGROUND: Hospitals use time-motion studies to monitor process effectiveness and patient waiting. Manual tracking is labor-intensive and potentially influences system performance. New technology known as indoor positioning systems (IPS) may allow automatic monitoring of patient waiting and progress. The authors tested whether an IPS can track patients through a multistep preoperative process. METHODS: The authors used an IPS between October 14, 2005, and June 13, 2006, to track patients in a multistep ambulatory preoperative process: needle localization and excisional biopsy of a breast lesion. The process was distributed across the ambulatory surgery and radiology departments of a large academic hospital. Direct observation of the process was used to develop a workflow template. The authors then developed software to convert the IPS data into usable time-motion data suitable for monitoring process efficiency over time. RESULTS: The authors assigned tags to 306 patients during the study period. Eighty patients never underwent the procedure or never had their tag affixed. One hundred seventy-seven (78%) of the remaining 226 patients successfully matched the workflow template. Process time stamps were automatically extracted from the successful matches, measuring time before radiology (mean +/- SD, 77 +/- 35 min), time in radiology (105 +/- 35 min), and time between radiology and operating room (80 +/- 60 min), which summed to total preoperative time (261 +/- 67 min). CONCLUSIONS: The authors have demonstrated that it is possible to use a combination of IPS technology and sequence alignment pattern matching software to automate the time-motion study of patients in a multidepartment, multistep process with the only day-of-surgery intervention being the application of a tag when the patient arrives.

Security, safety, and related technology - the triangle of eHealth service provision.

The developing of innovative solutions in the emerging eHealth market requires strong economic efforts which may be justified only in presence of particularly suitable boundary conditions. Among the factors retained of primary importance for the development of eHealth, a correct approach to id-management is unanimously considered fundamental. Three keywords in the id-management context appear particularly important: standardization, security and safety. Standardization may contribute to increase the size and duration of the eHealth market, while security and safety may encourage all the stakeholders to trust in a appropriate and safe management of all the very sensitive personal data involved in the eHealth applications. The aim of the present paper is analyzing some security and safety issues in eHealth from the particular prospective of the identity management and standardization. The paper highlights the mission of the EU funded "BioHealth" project whose mission is to increase the stakeholders' knowledge about existing and emerging standards in eHealth with particular reference to identity management.