The dual process model of coping with bereavement: a decade on

The Dual Process Model of Coping with Bereavement (DPM; Stroebe & Schut, 1999) is described in this article. The rationale is given as to why this model was deemed necessary and how it was designed to overcome limitations of earlier models of adaptive coping with loss. Although building on earlier theoretical formulations, it contrasts with other models along a number of dimensions which are outlined. In addition to describing the basic parameters of the DPM, theoretical and empirical developments that have taken place since the original publication of the model are summarized. Guidelines for future research are given focusing on principles that should be followed to put the model to stringent empirical test.     

通过谈判争取成功砝码

回想你上次面临新的领导机遇时,出现了什么情况？不管你是受命领导团队、部门还是整个企业,你很可能通过谈判争取该职位的薪水和待遇,比如：头衔、假期及奖金,但你是否争取过在该职位上取得成功的条件呢?     

浅析建筑幕墙施工安全管理

建筑幕墙是高科技产品,其技术复杂程度较高,影响建筑幕墙施工安全的因素众多,施工安全风险较大。为确保建筑幕墙的施工安全,就必须根据其产品的技术特征,不断强化科学的安全管理办法,使安全技术措施与安全管理有机的结合起来,确保建筑幕墙施工的安全。     

The art and science of winning physician support for Six Sigma change

Active physician participation and acceptance of Six Sigma is critical to successful implementation. Take a look at strategies and techniques that can help secure physician support for Six Sigma.     

Psychosocial versus biomedical risk factors in Kevorkian's first forty-seven physician-assisted deaths

This article examines biomedical and psychosocial data on the first forty-seven cases of physician-assisted suicide (PAS) of Kevorkian as collected by means of both a physical autopsy and a preliminary psychological autopsy. The following patterns emerge: 1) The physical condition of these PAS patients was not typical of the conditions that lead to death in the United States. 2) Consistent with the above findings, our pilot data indicate that only 31.1 percent of these patients were terminal. While 73.9 percent were described as reporting pain, only 42.6 percent were revealed at autopsy to have a specific anatomical basis for their pain. However 36 percent were described as depressed, 66 percent as having some disability, and perhaps of key importance, 90 percent expressed a fear of dependency. Most important, our pilot data suggest the possibility of large gender differences, since 3) 68.1 percent of these forty-seven PAS's are women and only 31.9 percent are men. This represents the reverse of the gender pattern for completed suicides in the United States in 1995, resembling instead the approximate pattern for unsuccessful suicide attempts. 4) Approximately 75 percent of both men and women in the above sample were described as reporting pain. Men were almost twice as likely to have had an anatomical basis for the pain and three times as likely to be terminal. Our pilot data indicate PAS women are more likely to be described as depressed and twice as likely to have had a history of previous unsuccessful suicide attempts. 5) Kevorkian's patients were older than the typical unaided suicides in America. Reported pain decreases with age as does depression; however anatomical basis for pain increases slightly with age, and no age effect emerges for terminality. 6) Approximately two-thirds of those physician-assisted suicides were at middle SES levels. History of disability was the biggest risk factor for the low SES patients and fear of dependency for the high SES patients.     

The development of the physicians' end-of-life care attitude scale

The Physicians' End-of-Life Care Attitude Scale (PEAS) was developed as an outcome measure for palliative care education. PEAS assesses the willingness of medical trainees to care for dying patients. Sixty-four Likert-type questions were created on the basis of discussions with focus groups of medical trainees, then administered to sixty-two medical students and residents. Total PEAS scores as well as personal preparation and professional role subscales (where higher scores indicated greater concern) possessed excellent internal consistency and reliability. In addition, there were substantial correlations between PEAS scores and the CA-Dying scale, a measurement of laypersons' fears about interacting with dying persons. Thus, PEAS adequately assesses the unique communication concerns of physicians in training regarding working with dying persons and their families. Correlations between PEAS scores and age were negative, while those who had experienced the death of a loved one had higher PEAS scores than those who did not. This suggests that for some persons, life experiences may lessen difficulties in dealing with dying persons, while for others, personal losses may exacerbate such concerns. The utility of PEAS in evaluating the efficacy of palliative care education as well as its potential to measure medical trainee's willingness to care for the terminally ill is discussed.     

Haunts on the Web for physician executives

Listed here are some medical management and health care related Web sites on the Internet worth visiting, as well as favorite search engines and how to use them. From health care systems and hospitals, to health plans and insurers, the industry is using Web technology to promote programs and outcomes, and to provide information on health and wellness.     

Where does informatics fit in health care organizations?

Why is medical informatics important to health care leaders? As an emerging science, informatics focuses on applying computing and communication technology to decision making for clinicians and managers. It enhances the understanding of how information and communication systems can impact the work health care managers must accomplish. As the cost of technology for digital information management continues to decline, organizations and individuals will look for ways to offset the human costs of managing and conveying information. The way of the paper medical record is being replaced by the less expensive and more efficient digital information systems. Leaders of health care organizations need to look for every opportunity to deploy networks and computers to reduce the labor costs of data collection, storage, retrieval, and analysis.