In‐center hemodialysis attendance: Patient perceptions of risks,barriers, and recommendations

Missed hemodialysis treatments lead to increased morbidity and mortality in the end‐stage renal disease population. Little is known about why patients have difficulty attending their scheduled in‐center dialysis treatments. Semistructured interviews with 15 adherent and 15 nonadherent hemodialysis patients were conducted to determine patients' attitudes about dialysis, health beliefs and risk perception regarding missed treatments, barriers and facilitators to hemodialysis attendance, and recommendations to improve the system to facilitate dialysis attendance. Average time on dialysis was 2.5 years for the nonadherent group and 7.3 years in the adherent group. In both groups, patients felt that dialysis is life‐saving and a necessity. A substantial number of patients in both groups understood that missing hemodialysis treatments is dangerous and several patients could clearly communicate the risk of skipping. The most common barriers to hemodialysis were inadequate or unreliable transportation (mentioned in both groups) and a lack of motivation to get to dialysis or that dialysis is not a priority (typically mentioned by the nonadherent group). Facilitators to hemodialysis attendance included explanations from the health care team regarding the risk of skipping and relationships with other dialysis patients. Patient recommendations to improve dialysis attendance included continued education about the risk of poor attendance and more accessible transportation. Patients did not feel that home dialysis would improve adherence. Hemodialysis patients must adhere to a complex and burdensome regimen. Through the elucidation of barriers and facilitators to hemodialysis attendance and through specific patient recommendations, at least three interventions may be further investigated to improve hemodialysis attendance: Improvement of the transportation system, education and supportive encouragement from the health care team, and peer support mentorship.     

Does a healthy health care workplace produce higher-quality care?

BACKGROUND: The multiagency Quality Interagency Coordination Task Force (QuIC) coordinates activities and plans for quality measurement and improvement across all the U.S. federal agencies involved in health care. One of its working groups focuses on the health care workforce and ways to improve the quality of care that it provides. In October 1999 four government agencies, under the aegis of the QuIC, convened a conference to examine how health care workplace quality influences the quality of care. A healthy workplace is one in which workers will be able to deliver higher-quality care and in which worker health and patients' high-quality care are mutually supportive. In October 2000 a follow-up conference was held to focus on a specific aspect of health care quality-patient safety. WHAT WE STILL NEED TO KNOW: Although enough is known to justify some initiatives to improve the quality of the health care workplace, participants in both meetings agreed that the evidence to prove these associations is weak and that there has been too little research to evaluate the impact of interventions intended to improve quality through improvements in the health care workplace. New evidence-based information is needed to test the theory of the nature of the relationship between working conditions and care quality. CONCLUSION: The tradition of evidence-based decision making needs to be applied to health care management as it has in medicine and nursing, to show how staffing, environment, organization, and culture can each can affect the quality of care.     

Using data to improve medical practice by measuring processes and outcomes of care

BACKGROUND: The purpose of this article is to help clinicians expand their use of data to improve medical practice performance and to do improvement research. Clinical practices can be viewed as small, complex organizations (microsystems) that produce services for specific patient populations. These services can be greatly improved by embedding measurement into the flow of daily work in the practice. WHY DO IT?: Four good reasons to build measures into daily medical practice are to (1) diagnose strengths and weaknesses in practice performance; (2) improve and innovate in providing care and services using improvement research; (3) manage patients and the practice; and (4) evaluate changes in results over time. It is helpful to have a "physiological" model of a medical practice to analyze the practice, to manage it, and to improve it. One model views clinical practices as microsystems that are designed to generate desired health outcomes for specific subsets of patients and to use resources efficiently. This article provides case study examples to show what an office-based practice might look like if it were using front-line measurement to improve care and services most of the time and to conduct clinical improvement research some of the time. WHAT ARE THE PRINCIPLES FOR USING DATA TO IMPROVE PROCESSES AND OUTCOMES OF CARE?: Principles reflected in the case study examples--such as "Keep Measurement Simple. Think Big and Start Small" and "More Data Is Not Necessarily Better Data. Seek Usefulness, Not Perfection, in Your Measures"--may help guide the development of data to study and improve practice. HOW CAN A PRACTICE START TO USE DATA TO IMPROVE CARE AND CONDUCT IMPROVEMENT RESEARCH?: Practical challenges are involved in starting to use data for enhancing care and improvement research. To increase the odds for success, it would be wise to use a change management strategy to launch the startup plan. Other recommendations include "Establish a Sense of Urgency. (Survival Is Not Mandatory)" and "Create the Guiding Coalition. (A Small, Devoted Group of People Can Change the World)." SUMMARY: Over the long term, we must transform thousands of local practice cultures so that useful data are used every day in countless ways to assist clinicians, support staff, patients, families, and communities.     

Discipline-based approaches to evidence-based practice: a view from nursing.

BACKGROUND: Research carried out by nurses or by others on patient problems of concern to nurses is contributing to the development of evidence-based nursing practice. In the past few decades, there has been a dramatic increase in clinical research, in health services research, and in the content and process of informatics, all focused on nursing care. The translation of findings of this research into clinical practice and the organization of nursing is less dramatic. The opportunity to implement research-based practice is great, but requires attention, methods, and resources. Also required are a database and an information system which include terms essential to nursing practice. DIMENSIONS OF NURSES' INVOLVEMENT IN EVIDENCE-BASED PRACTICE: The importance of nurses' involvement in evidence-based practice (EBP) can be viewed from three perspectives: (1) nurses' participation in medical problems and medical interventions, (2) nursing problems and nursing interventions, and (3) development and use of a standardized language that describes the problems, interventions, and outcomes important to nursing. APPLYING EBP TO COMBINED MEDICAL AND NURSING PROBLEMS: The best outcomes for a specific patient population are achieved through a combination of the medical and nursing problems and evidence-based interventions. Examples of problems of importance to nursing practice and research include pain, dehydration, incontinence, lifestyle change, confusion, immobility, knowledge deficit, noncompliance, anxiety, skin breakdown, inappropriate use of restraints, and falls. Interventions for prevention and treatment of the individual problem or combination of problems comprise the focus of nursing research and EBP.     

Bayesian assessment of overtriage and undertriage at a level I trauma centre

We analysed the trauma triage system at a specific level I trauma centre to assess rates of over- and undertriage and to support recommendations for system improvements. The triage process is designed to estimate the severity of patient injury and allocate resources accordingly, with potential errors of overestimation (overtriage) consuming excess resources and underestimation (undertriage) potentially leading to medical errors.We first modelled the overall trauma system using risk analysis methods to understand interdependencies among the actions of the participants. We interviewed six experienced trauma surgeons to obtain their expert opinion of the over- and undertriage rates occurring in the trauma centre. We then assessed actual over- and undertriage rates in a random sample of 86 trauma cases collected over a six-week period at the same centre. We employed Bayesian analysis to quantitatively combine the data with the prior probabilities derived from expert opinion in order to obtain posterior distributions. The results were estimates of overtriage and undertriage in 16.1 and 4.9% of patients, respectively.This Bayesian approach, which provides a quantitative assessment of the error rates using both case data and expert opinion, provides a rational means of obtaining a best estimate of the system's performance. The overall approach that we describe in this paper can be employed more widely to analyse complex health care delivery systems, with the objective of reduced errors, patient risk and excess costs.     

Applying the domain management model in treating patients with chronic diseases

BACKGROUND: In the health care system in the United States, the management of chronic health conditions and their functional consequences challenge and frustrate patients, caregivers/families, health care providers, and physicians. Contributing factors include a lack of physician and health care provider training and a health system that emphasizes diagnosis and management of acute illnesses. A broader patient care model is required for patients with chronic disease(s). USING THE DOMAIN MANAGEMENT MODEL (DMM) TO CLASSIFY PATIENTS' CLINICAL PROBLEMS: The DMM is a synthesis of approaches used in internal medicine, geriatric medicine, and physical medicine and rehabilitation. All clinical problems, their treatments, and their outcomes can be classified and followed over time in a multiaxial model with four domains-medical/surgical issues, mental status/emotions/coping, physical function, and living environment. APPLICATIONS OF THE DMM IN MEDICAL RECORD TEMPLATES: Use of the four domain headings in standard templates can lead to an improved awareness of all the relevant issues in the management of chronic illnesses. This awareness precedes a physician's implementation of better care processes. Also, good patient care decisions require good information. MANAGEMENT OF FUNCTIONAL PROBLEMS: The DMM can be used to educate care providers and organize care in terms of important and common functional problem (for example, trouble walking, which lacks a standard approach in health care). CONCLUSION: This common framework for the organization, documentation, and communication of patients' care over time will help teach systematic mangement of chronic health conditions and help with future research on complex patient management.     

Civilian-military pooling of health care resources in Haiti: a theory of complementarities perspective

The 2010 Haiti earthquake brought attention to the global need for rapid deployment of disaster relief health care services. In such large-scale disasters, a variety of international organisations provide temporary services until the damaged local health care system recovers. However, the disaster environment can pose operational and temporal challenges that may impede the effectiveness of relief services, and research is needed to provide both theory and methods for improving coordination and collaboration among relief organisations. This study investigates opportunities and barriers for relief organisations to pool complementary resources originating from multiple countries, by examining five case studies that represent the breadth of organizational types, including charter (civilian, military, university-affiliated and public/private), facility type (primary, secondary, and tertiary care), and duration of stay. The study yields a set of research propositions that chart avenues for future studies in this emerging field of research at the intersection of health care humanitarian operations and organisation theory.     

Evaluation of a grid based molecular dynamics approach for polypeptide simulations

Molecular dynamics is very important for biomedical research because it makes possible simulation of the behavior of a biological macromolecule in silico. However, molecular dynamics is computationally rather expensive: the simulation of some nanoseconds of dynamics for a large macromolecule such as a protein takes very long time, due to the high number of operations that are needed for solving the Newton's equations in the case of a system of thousands of atoms. In order to obtain biologically significant data, it is desirable to use high-performance computation resources to perform these simulations. Recently, a distributed computing approach based on replacing a single long simulation with many independent short trajectories has been introduced, which in many cases provides valuable results. This study concerns the development of an infrastructure to run molecular dynamics simulations on a grid platform in a distributed way. The implemented software allows the parallel submission of different simulations that are singularly short but together bring important biological information. Moreover, each simulation is divided into a chain of jobs to avoid data loss in case of system failure and to contain the dimension of each data transfer from the grid. The results confirm that the distributed approach on grid computing is particularly suitable for molecular dynamics simulations thanks to the elevated scalability.     

Applying quality improvement principles to achieve healthy work organizations

BACKGROUND: Health care has used total quality management (TQM)/quality improvement (QI) methods to improve quality of care and patient safety. Research on healthy work organizations (HWOs) shows that some of the same work organization factors that affect employee outcomes such as quality of life and safety can also affect organizational outcomes such as profits and performance. An HWO is an organization that has both financial success and a healthy workforce. For a health care organization to have financial success it must provide high-quality care with efficient use of scarce resources. To have a healthy workforce, the workplace must be safe, provide good ergonomic design, and provide working conditions that help to mitigate the stress of health care work. INTEGRATING TQM/QI INTO THE HWO PARADIGM: If properly implemented and institutionalized, TQM/QI can serve as the mechanism by which to transform a health care organization into an HWO. To guide future research, a framework is proposed that links research on QI with research on HWOs in the belief that QI methods and interventions might be an effective means by which to create an HWO. Specific areas of research should focus on identifying the work organization, cultural, technological, and environmental factors that affect care processes; affect patient health, safety, and satisfaction; and indirectly affect patient health, safety, and satisfaction through their effects on staff and care process variables. SUMMARY: Integrating QI techniques within the paradigm of the HWO paradigm will make it possible to achieve greater improvements in the health of health care organizations and the populations they serve.     

Modelling and scheduling analysis of multi-cluster tools with residency constraints based on time constraint sets

This paper is dedicated to the scheduling problem of multi-cluster tools with process module residency constraints and multiple wafer product types. The problem is formulated as a non-linear programming model based on a set of time constraint sets. An effective algorithm called the time constraint sets based (TCSB) algorithm is presented as a new method to schedule the transport modules to minimise the makespan of a number of wafers. In approach, time constraint sets are maintained for all the resources and necessary operations to exploit the remaining production capacities during the scheduling process. To validate the proposed algorithm on a broader basis, a series of simulation experiments are designed to compare our TCSB algorithm with the benchmark with regard to cluster factor, configuration flexibilities and the variation of the processing times and residency constraint times. The results indicate that the proposed TCSB algorithm gives optimal or near optimal scheduling solutions in most cases.     

The Consumer Assessment of Health Plan Study (CAHPS) survey of children's health care.

BACKGROUND: Little is known about the experience of children and families with pediatric care. Asking parents about their experiences and the treatment of their children in health care plans can yield important information about selected aspects of medical care quality. Such data can be used to motivate, focus, and evaluate quality improvement efforts. METHODS: Development of the Child Core Survey followed the survey development principles of the Consumer Assessment of Health Plan Study (CAHPS) project, starting with assembly of existing instruments, consultation with experts, focus groups, and cognitive testing. A field test of the survey was conducted by mail among members enrolled in 1 of 25 plans originally identified as providing health care services to the public employees of the state of Washington (response rate, 52%). RESULTS: The 3,083 respondents rated personal doctors most highly, with overall care and specialty care rated nearly as well, and plan administration rated lowest. Parent-clinician and child-clinician communication, as well as spending sufficient time with the child were the strongest correlates of assessments of overall care and of personal doctors. Plans differed significantly in their performance along all the dimensions of child health care assessed in the survey except for aspects of access ("getting the care you need"). IMPLICATIONS: The Child Core Survey from the CAHPS provides a readily accessible method to assess the interpersonal care of children. Such data could be used to make plans accountable to the needs of children, to focus specific improvement initiatives, or both.     

A review of operations management literature: a data-driven approach

Production and operations management has been a significant field of research for many years. However, other than an educated guess by researchers in the field or a perusal of textbook chapter titles, the major topics and their trends over time are not well established. This study provides a comprehensive review of production and operations management literature using a data-driven approach. We use Latent Semantic Analysis on 21,053 abstracts representing all publications in six leading operations management journals since their inception. 18 unique topic clusters were identified algorithmically. Just being aware of the history of research topics should be of great interest to all academics in the field, but to help future researchers we conducted three post hoc analyses: 1) analysis of methods used in all these studies, 2) citation rates by topic area over time, and 3) the growing prevalence of research covering multiple topics.     

Distributed task scheduling and human resource distribution in industrial service solution production: a simulation application

This paper provides a simulation model for scheduling service task operations and distributing related human resources in dispersed work centres. The managerial concern for the minimisation of temporal overhead costs of task operations in the face of fluctuating, short-term service demands is examined under restrictions imposed by resource availability, work hour flexibility and task-backlog fulfilment. Scheduling strategies are developed directly from the constrained reduction of temporal overheads of appointment and release operations in distributed, non-interlinked work centres. To ensure the model’s structural validity, simulated task backlogs are adjusted to the actual backlog-reducing procedures in real applications. The model provides means for setting up balanced work schedules that can greatly lower temporal overheads of appointment and release operations if workers are selected in accordance with compatible time availability and task qualifications. Direct comparisons of worker productivities in the different centres can also be made, allowing managers to locate bottleneck points of service operations when productivity falls short of desired expectations. The robustness of the model is ensured by finding significant parameter domains through Monte Carlo simulations, centred on data points collected from real-time demand functions in actual service operations.     

Herd immunity acquired indirectly from interactions between the ecology of infectious diseases,demography and economics

Patterns of morbidity and mortality around the globe are determined by interactions between infectious diseases and systematic human socioeconomic processes. The most obvious of these patterns is that the greatest burdens of infectious diseases are found among the poor, who lack the basic resources for disease prevention and treatment. Yet, it is becoming increasingly clear that many infectious diseases are themselves causes of poverty owing to their effects on labour productivity. A particularly subtle phenomenon that receives little attention in the epidemiology literature and is especially important for poor communities is the role of the birth rate as an important direct cause of high disease burdens. Because of their high rates of transmission and life-long immunity, the persistence of many child diseases such as measles relies on high rates of reproduction as their source of susceptible individuals. Thus, there are significant direct health benefits of lower fertility rates, which are further enhanced by interactions with economic processes. Indeed, fertility, poverty and disease all interact with each other in important and predictable ways that can be built into traditional disease ecology models. We present such a model here that provides insights into the long-term effect of policy interventions. For example, because of indirect income effects, herd immunity may be acquired with lower vaccine coverage than previously thought. Reductions in the disease burden can also occur through lower fertility. Our model thus provides a disease ecology framework that is useful for the analysis of demographic transitions.     

Use of consumer ratings for quality improvement in behavioral health insurance plans

BACKGROUND: The Consumer Assessment of Behavioral Healthcare Services (CABHS) survey collects consumers' reports about their health care plans and treatment. The use of the CABHS to identify opportunities for improvement, with specific attention to how organizations have used the survey information for quality improvement, is described. METHODS: In 1998 and 1999, data were collected from five groups of adult patients in commercial health plans and five groups of adult patients in public assistance health plans with services received through four organizations (one of three managed behavioral health care organizations or a health system). Patients who received behavioral health care services during the previous year were mailed the CABHS survey. Non-respondents were contacted by telephone to complete the survey. RESULTS: Response rates ranged from 49% to 65% for commercial patient groups and from 36% to 51% for public assistance patients. Promptly getting treatment from clinicians and aspects of care most influenced by health plan policies and operations, such as access to treatment and plan administrative services, received the least positive responses, whereas questions about communication received the most positive responses. In addition, questions about access- and plan-related aspects of quality showed the most interplan variability. Three of the organizations in this study focused quality improvement efforts on access to treatment. DISCUSSION: Surveys such as the CABHS can identify aspects of the plan and treatment that are improvement priorities. Use of these data is likely to extend beyond the behavioral health plan to consumers, purchasers, regulators, and policymakers, particularly because the National Committee for Quality Assurance is encouraging behavioral health plans to use a similar survey for accreditation purposes.     

From production systems to health care delivery systems: a retrospective look on similarities,difficulties and opportunities

Manufacturing systems have attracted substantial research attentions during the last 50 years. In recent years, there has been growing interest in health care systems research to improve efficiency, safety and care quality. The similarities identified between manufacturing systems and health care delivery systems heighten the importance of transferring the experience and knowledge in manufacturing to health care. In this paper, based on the lessons we learned and the experience we obtained during our journey from production systems research to health care delivery systems study, we discuss the similarities between production systems and health care delivery systems in system modelling, design, performance evaluation and continuous improvements and investigate the differences and difficulties that stem from variability, constraints, dynamics and human behaviour. Building upon these, the opportunities encompassing care operations, planning and scheduling, patient transitions, and safety and teamwork in health care delivery systems are discussed. Finally, the challenges and future directions are proposed. We expect this work to serve as a catalyst to stimulate more in-depth and comprehensive studies.     

Simulating operator learning during production ramp-up in parallel vs. serial flow production

The aim of this research is to demonstrate how human learning models can be integrated into discrete event simulation to examine ramp-up time differences between serial and parallel flow production strategies. The experimental model examined three levels of learning rate and minimum cycle times. Results show that while the parallel flow system had longer ramp-up times than serial flow systems, they also had higher maximum throughput capacity. As a result, the parallel flow system frequently outperformed lines within the first weeks of operation. There is a critical lack of empirical evidence or methods that would allow designers to accurately determine what the critical learning paramters might be in their specific operations, and further research is needed to create predictive tools in this important area.     

Clinical performance improvement series. Classic CQI integrated with comprehensive disease management as a model for performance improvement.

BACKGROUND: In recent years, health and disease management has emerged as an effective means of delivering, integrating, and improving care through a population-based approach. Since 1997 the University of Pennsylvania Health System (UPHS) has utilized the key principles and components of continuous quality improvement (CQI) and disease management to form a model for health care improvement that focuses on designing best practices, using best practices to influence clinical decision making, changing processes and systems to deploy and deliver best practices, and measuring outcomes to improve the process. Experience with 28 programs and more than 14,000 patients indicates significant improvement in outcomes, including high physician satisfaction, increased patient satisfaction, reduced costs, and improved clinical process and outcome measures across multiple diseases. DIABETES DISEASE MANAGEMENT: In three months a UPHS multidisciplinary diabetes disease management team developed a best practice approach for the treatment of all patients with diabetes in the UPHS. After the program was pilot tested in three primary care physician sites, it was then introduced progressively to additional practice sites throughout the health system. The establishment of the role of the diabetes nurse care managers (certified diabetes educators) was central to successful program deployment. Office-based coordinators ensure incorporation of the best practice protocols into routine flow processes. A disease management intranet disseminates programs electronically. Outcomes of the UPHS health and disease management programs so far demonstrate success across multiple dimensions of performance-service, clinical quality, access, and value. DISCUSSION: The task of health care leadership today is to remove barriers and enable effective implementation of key strategies, such as health and disease management. Substantial effort and resources must be dedicated to gain physician buy-in and achieve compliance. The challenge is to provide leadership support, to reward and recognize best practice performers, and to emphasize the use of data for feedback and improvement. As these processes are implemented successfully, and evidence of improved outcomes is documented, it is likely that this approach will be more widely embraced and that organizationwide performance improvement will increase significantly. CONCLUSIONS: Health care has traditionally invested extraordinary resources in developing best practice approaches, including guidelines, education programs, or other tangible products and services. Comparatively little time, effort, and resources have been targeted to implementation and use, the stage at which most efforts fail. CQI's emphasis on data, rapid diffusion of innovative programs, and rapid cycle improvements enhance the implementation and effectiveness of disease management.     

基于系统动力学仿真的医疗资源配置

为了在突发事故发生时在常规病人和突发病人之间进行有效的医疗资源配置,建立了基于系统动力学的仿真模型。模型中考虑了病人病情的实时变化、医务人员的诊断信心和决策以及基于贝叶斯预测分布的评估时间和突发病人到达时间间隔,并基于最小化病人死亡率和系统平均逗留时间建立资源分配方案评价指标。通过仿真实验,比较了3种资源配置规则在不同场景下的性能优劣,证明了基于病人规模的资源分配规则较其他候选规则能够得到更好的应急处置效果,为医院的应急医疗资源配置决策及应急预案制定提供有效的参考。