Variation Between Multidisciplinary Tumor Boards in Clinical Staging and Treatment Recommendations for Patients With Locally Advanced Non-small Cell Lung Cancer.

BACKGROUND: Accurate diagnosis and staging are crucial to ensure uniform allocation to the optimal treatment methods for non-small cell lung cancer (NSCLC) patients, but may differ among multidisciplinary tumor boards (MDTs). Discordance between clinical and pathologic TNM stage is particularly important for patients with locally advanced NSCLC (stage IIIA) because it may influence their chance of allocation to curative-intent treatment. We therefore aimed to study agreement on staging and treatment to gain insight into MDT decision-making. RESEARCH QUESTION: What is the level of agreement on clinical staging and treatment recommendations among MDTs in stage IIIA NSCLC patients? STUDY DESIGN AND METHODS: Eleven MDTs each evaluated the same 10 pathologic stage IIIA NSCLC patients in their weekly meeting (n = 110). Patients were selected purposively for their challenging nature. All MDTs received exactly the same clinical information and images per patient. We tested agreement in cT stage, cN stage, cM stage (TNM 8th edition), and treatment proposal among MDTs using Randolph's free-marginal multirater kappa. RESULTS: Considerable variation among the MDTs was seen in T staging (κ, 0.55 [95% CI, 0.34-0.75]), N staging (κ, 0.59 [95% CI, 0.35-0.83]), overall TNM staging (κ, 0.53 [95% CI, 0.35-0.72]), and treatment recommendations (κ, 0.44 [95% CI, 0.32-0.56]). Most variation in T stage was seen in patients with suspicion of invasion of surrounding structures, which influenced such treatment recommendations as induction therapy and type. For N stage, distinction between N1 and N2 disease was an important source of discordance among MDTs. Variation occurred between 2 patients even regarding M stage. A wide range of additional diagnostics was proposed by the MDTs. INTERPRETATION: This study demonstrated high variation in staging and treatment of patients with stage IIIA NSCLC among MDTs in different hospitals. Although some variation may be unavoidable in these challenging patients, we should strive for more uniformity.

Pattern of Laboratory Parameters and Management of Secondary Hyperparathyroidism in Countries of Europe, Asia, the Middle East, and North America.

INTRODUCTION: This analysis explored laboratory mineral and bone disorder parameters and management of secondary hyperparathyroidism in patients undergoing hemodialysis in Belgium, Canada, China, France, Germany, Italy, Japan, Russia, Saudi Arabia, Spain, Sweden, the UK, and the USA. METHODS: Analyses used demographic, medication, and laboratory data collected in the prospective Dialysis Outcomes and Practice Patterns Study (2012-2015). The analysis included 20,612 patients in 543 facilities. Descriptive data are presented as regional mean (standard deviation), median (interquartile range), or prevalence, weighted for facility sampling fraction. No testing of statistical hypotheses was conducted. RESULTS: The frequency of serum intact parathyroid hormone levels > 600 pg/mL was lowest in Japan (1%) and highest in Russia (30%) and Saudi Arabia (27%). The frequency of serum phosphorus levels > 7.0 mg/dL was lowest in France (4%), the UK (6%), and Spain (6%), and highest in China (27%). The frequency of serum calcium levels > 10.0 mg/dL was highest in the UK (14%) and China (13%) versus 2% to 9% elsewhere. Dialysate calcium concentrations of 2.5 mEq/mL were common in the USA (78%) and Canada (71%); concentrations of 3.0-3.5 mEq/L were almost universal at facilities in Italy, France, and Saudi Arabia (each ≥ 99%). CONCLUSIONS: Wide international variation in mineral and bone disorder laboratory parameters and management practices related to secondary hyperparathyroidism suggests opportunities for optimizing care.

Computed tomography scans prior to transfer to a pediatric trauma center: Transfer time effects, neurosurgical interventions, and practice variability.

BACKGROUND: Many nontrauma centers perform computed tomography (CT) on injured children prior to transfer to a pediatric trauma center (PTC), but the institutional variability and clinical impact of this practice is unclear. This study evaluated the association of pretransfer CT with transfer delays, the likelihood of emergent neurosurgical intervention among patients who underwent pretransfer head CT, and the effects of transfer distance on prevalence and regional variability of pretransfer CT. METHODS: All injured children transferred from outlying nontrauma centers to a single freestanding PTC from 2009 to 2017 were included. Patients were categorized by undergoing pretransfer CT head alone, CT of multiple/other areas, or no CT. Transfer time (referring hospital arrival to PTC arrival) was compared between CT groups, using multivariable modeling to adjust for covariates. Neurosurgical interventions were compared between patients with normal and abnormal Glasgow Coma Scale (GCS) scores. The prevalence of pretransfer CT among referring centers was compared, with stratification by transfer distance. RESULTS: Of 2,947 transfer patients, 1,225 (42%) underwent pretransfer CT (29%, head CT alone; 13%, other/multiple CT). Transfer times were significantly longer for patients who underwent pretransfer head CT or multiple CT (287 or 298 minutes vs. 260 minutes, p < 0.0001) after adjustment for baseline characteristics, injury severity, and transfer distance. Among patients with normal pretransfer GCS who received a pretransfer head CT, the likelihood of urgent neurosurgical intervention was 1.3%. Prevalence rates of pretransfer CT by referring center varied from 15% to 94%; prevalence increased with increasing transfer distance but demonstrated wide variability among centers of similar distance. CONCLUSION: Pretransfer CT, whether of the head alone or multiple areas, is associated with delays in transfer to definitive care. Among patients with pretransfer GCS 15, the risk of urgent neurosurgical intervention is very low. Wide variability in pretransfer CT use between referring centers suggests opportunity for development of standardized protocols. LEVEL OF EVIDENCE: Economic/decision, level III.

A Pilot Ontology for Healthcare Quality Indicators.

Computerisation of quality indicators for the English National Health Service currently relies primarily on queries and clinical coding, with little use of ontologies. We created a searchable ontology for a diverse set of healthcare quality indicators. We investigated attributes and relationships in a set of 222 quality indicators, categorised by clinical pathway, inclusion and exclusion criteria and US Institute of Medicine purpose. Our pilot ontology could reduce duplication of effort in healthcare quality monitoring.

Temporal Relation Extraction in Outcome Variances of Clinical Pathways.

Recently the clinical pathway has progressed with digitalization and the analysis of activity. There are many previous studies on the clinical pathway but not many feed directly into medical practice. We constructed a mind map system that applies the spanning tree. This system can visualize temporal relations in outcome variances, and indicate outcomes that affect long-term hospitalization.

Analysis of care pathway variation patterns in patient records.

A care/clinical pathway (CP) is a standardized care process where temporal and data constraints of clinical activities are defined to ensure quality of care. In actual care practice, various situations of compliance and non-compliance with CPs can be observed. Analysis of these CP variation patterns (CPVPs) can help improve care quality and enhance decision support. In this paper, we propose an automatic method to detect CPVPs in electronic medical records (EMR), and statistically examine their correlation with patient outcomes. From each CP constraint, we first derive a CPVP tree, where each pattern is represented using first-order linear temporal logic and translated into a Büchi automaton for pattern detection. Then we identify the CPVPs that are evidently correlated with a patient outcome by examining the odds ratios. The method has been applied to a CP for congestive heart failure and real world EMR to demonstrate the effectiveness.

Conceptual analysis of a diverse set of healthcare quality indicators.

Computerisation of quality indicators for the English National Health Service currently relies primarily on queries and clinical coding, with little use of ontologies. We investigated attributes and relationships in a diverse set of over 200 healthcare quality indicators, categorising by clinical pathway, inclusion and exclusion criteria and Institute of Medicine purpose. Our results, some of which are described in this paper, were used to create an ontology that could reduce duplication of effort in healthcare quality monitoring.

Automatic variance analysis of multistage care pathways.

A care pathway (CP) is a standardized process that consists of multiple care stages, clinical activities and their relations, aimed at ensuring and enhancing the quality of care. However, actual care may deviate from the planned CP, and analysis of these deviations can help clinicians refine the CP and reduce medical errors. In this paper, we propose a CP variance analysis method to automatically identify the deviations between actual patient traces in electronic medical records (EMR) and a multistage CP. As the care stage information is usually unavailable in EMR, we first align every trace with the CP using a hidden Markov model. From the aligned traces, we report three types of deviations for every care stage: additional activities, absent activities and violated constraints, which are identified by using the techniques of temporal logic and binomial tests. The method has been applied to a CP for the management of congestive heart failure and real world EMR, providing meaningful evidence for the further improvement of care quality.

The demise of the Liverpool Care Pathway: should we ban the highway code because of bad drivers?

The Neuberger report failed to show that the Liverpool Care Pathway was the cause of poor end-of-life care and made it the scapegoat for poor communication and faulty decision-making. The report's discrediting of a quality assurance mechanism that had the potential for improvement is a disservice to dying patients. Several of the report's recommendations are puzzling, but two consequences of the report, an excellent review of care pathways and a recommendation to establish a national end-of-life coalition, have the potential to improve care of the dying individual.

Mining the changes of medical behaviors for clinical pathways.

In a fast-changing healthcare environment, understanding the changes of medical behaviors in clinical pathways can help hospital managers improve the pathways and make better medical strategies for patient careflow. In this study we propose an approach to detect medical behavior changes between two time periods, by providing a change pattern detection algorithm dividing the discovered change patterns into four categories (i.e., perished patterns, added patterns, unexpected changes, and emerging patterns). The proposed approach is evaluated via real-world data sets extracted from Zhejiang Huzhou Central Hospital of China with regard to the clinical pathway of bronchial lung cancer in 2007-2009 and 2011. The experiment results include three categories of change patterns from the collected data-sets, making a relatively comprehensive cover on the significant changes in clinical pathways, which might be essential from the perspectives of clinical pathway analysis and improvement.

Defining pathways.

AIMS AND BACKGROUND: The term 'clinical pathway' is internationally accepted in all settings of healthcare management. The way in which clinical pathways have been developed in the United Kingdom differs from that in the USA. Besides the international differences in the purpose, many alternative names also can be found. These have led to confusion. There is no single, widely accepted definition of a clinical pathway. The aim of the study was to survey the definitions used in describing the concept and to derive key characteristics of clinical pathways. METHOD: Using the PubMed, we conducted a review of literature published between January 2000 and December 2003 using the following terms: critical pathway, clinical pathway, integrated care pathway, care pathway and care map. All reports reviewed had to use the concept, as defined by the Medical Subject Headings term, to be considered. To assess all definitions, the concept analysis method was used. RESULTS: In 82 of the 263 eligible articles, the definition of pathway was given. Totally, we found 84 different definitions. Each definition was rephrased by taking into consideration the following three features inherent to pathways: nouns, characteristics and aims and outcomes. Every feature was further divided into categories. CONCLUSIONS: A clinical pathway is a method for the patient-care management of a well-defined group of patients during a well-defined period of time. A clinical pathway explicitly states the goals and key elements of care based on Evidence Based Medicine (EBM) guidelines, best practice and patient expectations by facilitating the communication, coordinating roles and sequencing the activities of the multidisciplinary care team, patients and their relatives; by documenting, monitoring and evaluating variances; and by providing the necessary resources and outcomes. The aim of a clinical pathway is to improve the quality of care, reduce risks, increase patient satisfaction and increase the efficiency in the use of resources.

Medios didácticos utilizados y su forma de aplicación en el ciclo cliníco de la facultad de medicina de la Universidad Mayor de San Adrés / Used teaching means and their form of app`lication in the clinical cycle of the Medical School of the University than San Andres

Considerando que una de las tareas más importantes de los medios de enseñanza en el marco de la educación superior contemporánea es de establecer un nexo entre lo sensorial y lo racional y entre este y sus aplicaciones prácticas, así como la búsqueda de nuevas interrogantes y sus soluciones en el proceso de enseñanza-aprendizaje, damos una rspuesta a nuestra pregunta de investigación, ¿Cuales son los medios didacticos y su forma de aplicación en el ciclo de la Facultad de Medicina de la UMSA?. Si se trata de una investigación educativa de tipo descriptivo-tranversal. Se aplico el método cualitativo (observación, entrevistas en profundidad) y el método cuantitativo (encuesta)...

What is a clinical pathway?

Clinical pathways are patient care algorithms based on best evidence. They are intended to minimize variance in treatment and thus reduce cost, increase efficiency, and ultimately improve patient care outcomes. Clinical paths are more commonly used in the United Kingdom, and there is evidence that they are effective in the medical context. Some limitations that dentists may want to keep in mind regarding critical paths are that they may not be appropriate for all patient especially those with complex conditions); they present the potential for being misunderstood or misapplied; and practitioners often find them time-consuming, restrictive, and intrusive.

Classifying clinical pathways.

BACKGROUND: Clinical pathways are commonly developed for homogenous patient groups. We were wondering if the traditional patient classification systems could be used for classifying clinical pathways. METHODOLOGY: To examine the utility of patient classification systems for clinical pathways, a sample of 13 clinical pathways was analyzed, involving a total of 412 patients. Three classification systems were tested: International Classification of Diseases, Ninth Revision (ICD9-CM), Clinical Coding System (CCS) data and All-Patient Redefined Diagnosis Related Groups (APR-DRG). RESULTS: Categorization with ICD9-CM and CCS shows rather wide variation. However, when restricting for the principal codes, CCS classification shows an almost homogeneous relationship with clinical pathways. APR-DRG's are already corrected for secondary procedures and are difficult to assess. Categorization with the Risk Of Mortality (ROM) is more homogeneous than with the Severity Of Illness (SOI). CONCLUSION: Patient groups in clinical pathways are rather heterogeneous. When restricting for the principal procedures, the strongest relationship seems to exist between clinical pathways and CCS. Further research is needed to refine this relationship.

Critical pathways for management of patients with acute coronary syndromes: an assessment by the National Heart Attack Alert Program.

BACKGROUND: The use of critical pathways for a variety of clinical conditions has grown rapidly in recent years, particularly pathways for patients with acute coronary syndromes (ACS). However, no systematic review exists regarding the value of critical pathways in this setting. METHODS: The National Heart Attack Alert Program established a Working Group to review the utility of critical pathways on quality of care and outcomes for patients with ACS. A literature search of MEDLINE, cardiology textbooks, and cited references in any article identified was conducted regarding the use of critical pathways for patients with ACS. RESULTS: Several areas for improving the care of patients with ACS through the application of critical pathways were identified: increasing the use of guideline-recommended medications, targeting use of cardiac procedures and other cardiac testing, and reducing the length of stay in hospitals and intensive care units. Initial studies have shown promising results in improving quality of care and reducing costs. No large studies designed to demonstrate an improvement in mortality or morbidity were identified in this literature review. CONCLUSIONS: Critical pathways offer the potential to improve the care of patients with ACS while reducing the cost of care. Their use should improve the process and cost-effectiveness of care, but further research in this field is needed to determine whether these changes in the process of care will translate into improved clinical outcomes.

Development of clinical pathways for stroke management: an example from Saint Luke's Hospital, Kansas City.

Clinical pathways for stroke are important tools for improved case management and outcome assessment. The clinical path created at St. Luke's Hospital in Kansas City is described here. It evolved through the collaboration of a multidisciplinary team of clinical experts and is still evolving. Ideally, a clinical path should be used as a guide rather than a standard of care, which is to be individualized for each patient. This article describes the methods for writing the pathways and how they are used for documentation. It also summarizes how the pathway data support stroke outcome assessment.

Clinical pathways for the high-risk patient.

The goal of managed health care is to reduce health care costs while maintaining or improving the quality of care given to patients. Clinical pathways, which outline the services and therapies planned for a typical patient admitted with a specific diagnosis, may provide a way to control costs and improve patient outcome. These pathways are under development by medical centers and managed-care organizations nationwide, with the aim of planning, managing, documenting, and evaluating multidisciplinary care. A coordinated care plan can take a number of approaches. Time lines identify predictable clinical landmarks and time intervals for a specific medical episode or illness within a given diagnostic-related group or set of diagnostic-related groups. Case-management plans and case managers coordinate a patient's care throughout an episode, eg, an operation, enabling patients to reach defined time points in the course of their care at the expected time. Critical pathways are the favored method of documenting the patient's progress according to the predicted time schedule. This report discusses ways to successfully implement a care plan, highlighting the commitment and effort needed from a multidisciplinary staff to achieve the goal of optimizing efficiency and quality of patient care.