生活技能教育与烟草控制教育

目的:让学生掌握生活技能基本知识,并学会在实际生活中应用这些生活技能。方法:2006年9月至11月在北京大学医学部开设《生活技能教育与心理健康促进》本科生选修课,采用参与式教学方法,以培养医学生从健康的生活方式为楔入口,为学生提供生活技能的理论教学与实践培训。通过课程前后2次问卷调查,对本课程教学内容、教学方式、教学效果以及学生健康相关行为和态度进行了评估。结果:课程结束后学生对生活技能的理解有了明显的正确改变,各种心理社会能力得分也有了明显的提高。生活技能教育对大学生烟草使用等不良行为、倡导健康生活方式起到了积极的作用。结论:开设相关生活技能教育课程是必要、有效且可行的,可以在高校推广应用。     

Comparison of costs of percutaneous transluminal coronary angioplasty and coronary bypass surgery for patients with angina pectoris

To determine the costs of a procedure, the total costs of the department that provides the service must be considered and, in addition, the direct cost of the specific procedure. Applying this principle to the cost accounting of angioplasty and bypass surgery results in a direct, i.e. procedural, cost, including the initial hospital stay, of respectively 8694 Dfl and 20,987 Dfl. A review of the follow-up data for the first year after the original intervention revealed a 2% reintervention rate for bypass surgery, while this percentage was 29% for angioplasty. Adding the first year costs involved with reinterventions to the procedural costs results in a 1-year cost of angioplasty and bypass operation of 13,625 Dfl and 21,363 Dfl, respectively. It is concluded that because of reinterventions in the first year, a mark up of 57% on the procedural cost of angioplasty must be added to cover 1-year costs, while for bypass surgery this is only 1%. Nevertheless, the 1-year cost for angioplasty is still 36% less than for bypass surgery. As reinterventions after PTCA may stay considerably higher than for CABG for several years, the mark-up percentages will be substantially higher for longer time spans. This may tend to equalize the total costs of PTCA and CABG over time spans of perhaps 5-8 years. Sufficient data are not available to verify this statement. Clinicians must realize that choosing the most appropriate procedure is not only a matter of medical assessment but also a matter of cost effectiveness. CABG can be seen as an 'investment decision' while PTCA tends to become a decision with characteristics of 'maintenance planning'!     

Using an office system intervention to increase breast cancer screening

OBJECTIVE: To evaluate an innovative approach to continuing medical education, an outreach intervention designed to improve performance rates of breast cancer screening through implementation of office systems in community primary care practices. DESIGN: Randomized, controlled trial with primary care practices assigned to either the intervention group or control group, with the practice as the unit of analysis. SETTING: Twenty mostly rural counties in North Carolina. PARTICIPANTS: Physicians and staff of 62 randomly selected family medicine and general internal medicine practices, primarily fee-for-service, half group practices and half solo practitioners. INTERVENTION: Physician investigators and facilitators met with practice physicians and staff over a period of 12 to 18 months to provide feedback on breast cancer screening performance, and to assist these primary care practices in developing office systems tailored to increase breast cancer screening. MEASUREMENTS AND MAIN RESULTS: Physician questionnaires were obtained at baseline and follow-up to assess the presence of five indicators of an office system. Three of the five indicators of office systems increased significantly more in intervention practices than in control practices, but the mean number of indicators in intervention practices at follow-up was only 2.8 out of 5. Cross-sectional reviews of randomly chosen medical records of eligible women patients aged 50 years and over were done at baseline (n=2,887) and follow-up (n=2,874) to determine whether clinical breast examinations and mammography, were performed. Results for mammography were recorded in two ways, mention of the test in the visit note and actual report of the test in the medical record. These reviews showed an increase from 39% to 51% in mention of mammography in intervention practices, compared with an increase from 41% to 44% in control practices (p=.01). There was no significant difference, however, between the two groups in change in mammograms reported (intervention group increased from 28% to 32.7%; control group increased from 30.6% to 34.0%, p=.56). There was a nonsignificant trend (p=.06) toward a greater increase in performance of clinical breast examination in intervention versus control practices. CONCLUSIONS: A moderately intensive outreach intervention to increase rates of breast cancer screening through the development of office systems was modestly successful in increasing indicators of office systems and in documenting mention of mammography, but had little impact on actual performance of breast cancer screening. At follow-up, few practices had a complete office system for breast cancer screening. Outreach approaches to assist primary care practices implement office systems are promising but need further development. Presented in part at the 19th annual meeting of the Society of General Internal Medicine, Washington, DC, May 1996. This research was supported under grant CA 54343-02 from the National Cancer Institute.     

静脉用药调配中心24小时全医嘱下临时医嘱的运行模式

目的：探讨24 h工作模式下我院静脉用药调配中心（PIVAS）临时医嘱的运行模式,为临床安全合理用药提供参考。方法：分析PIVAS临时医嘱的审核、提取、批次安排、摆药、贴签、配置及扫描交接的运行模式。结果：临时医嘱PIVAS集中调配后,日均调配人数减少66.67%,调配时间减少77.78%,调配耗材减少13.64%。结论：我院PIVAS 24 h接收并配制临时医嘱,提高了工作效率,满足了临床配置临时医嘱的需求,保证了静脉用药的安全性及合理性。     

品管圈活动对减少PIVAS漏审不合理医嘱的应用及其有效性分析

目的:探究品管圈活动(QCC)对减少静脉用药调配中心(PIVAS)漏审不合理医嘱的应用及其效果。方法:抽取2017年1月-2018年1月期间医院PIVAS 3000份医嘱为管理前组,另抽取2018年2月-2019年2月期间开展品管圈活动后3000份医嘱为管理后组,对其中的不合理医嘱发生原因进行分析;比较两组医嘱中不合理医嘱发生的原因及其发生率差异;以及比较两组医嘱中QCC开展前后PIVAS工作人员的个人能力评分值的差异。结果:管理前组3000份医嘱中,其中563份医嘱存在不合理用药,其类型为给药频次不合理、溶媒选择不合理、给药剂量不合理、给药浓度不合理等,其不合理发生率为18.77%;管理后组3000份医嘱中,仅有67份医嘱存在不合理用药,不合理医嘱的发生率明显下降,其发生率仅为2.23%;管理后组显著低于管理前组(P<0.05);管理后组PIVAS工作人员的责任心、沟通能力、创造能力、积极性和团队精神的评分值均高于管理前组(P<0.05)。结论:QCC对减少PIVAS漏审不合理医嘱发挥着重要的作用,提高患者的用药安全性,充分发挥了PIVAS工作人员的团队责任性和工作能力。     

Identifying Goals of Care Conversations in the Electronic Health Record Using Natural Language Processing and Machine Learning

ContextGoals-of-care discussions are an important quality metric in palliative care. However, goals-of-care discussions are often documented as free text in diverse locations. It is difficult to identify these discussions in the electronic health record (EHR) efficiently.ObjectivesTo develop, train, and test an automated approach to identifying goals-of-care discussions in the EHR, using natural language processing (NLP) and machine learning (ML).MethodsFrom the electronic health records of an academic health system, we collected a purposive sample of 3183 EHR notes (1435 inpatient notes and 1748 outpatient notes) from 1426 patients with serious illness over 2008–2016, and manually reviewed each note for documentation of goals-of-care discussions. Separately, we developed a program to identify notes containing documentation of goals-of-care discussions using NLP and supervised ML. We estimated the performance characteristics of the NLP/ML program across 100 pairs of randomly partitioned training and test sets. We repeated these methods for inpatient-only and outpatient-only subsets.ResultsOf 3183 notes, 689 contained documentation of goals-of-care discussions. The mean sensitivity of the NLP/ML program was 82.3% (SD 3.2%), and the mean specificity was 97.4% (SD 0.7%). NLP/ML results had a median positive likelihood ratio of 32.2 (IQR 27.5–39.2) and a median negative likelihood ratio of 0.18 (IQR 0.16–0.20). Performance was better in inpatient-only samples than outpatient-only samples.ConclusionUsing NLP and ML techniques, we developed a novel approach to identifying goals-of-care discussions in the EHR. NLP and ML represent a potential approach toward measuring goals-of-care discussions as a research outcome and quality metric.     

Electronic Medical Records and Electronic Health Records: Overview for Nurse Practitioners

Electronic medical records (EMRs) and electronic health records (EHRs) have become essential systems by which nurse practitioners (NPs) communicate vital patient information to other members of the health care team as well as to patients. In this article we examine the important distinctions between EMRs and EHRs; review the genesis of these types of records; summarize applicable provisions of the Health Insurance Portability and Accountability Act from a recent legal case centered around NP utilization of EMRs and EHRs; address open patient access to medical information; and examine threats to security. Suggestions are offered on ways in which NPs can safeguard confidential patient information.     

Infants' growth charts for southern Iran

Currently there are no growth charts based on local norms available for infants in Iran, and their growth is assessed by the National Centre for Health Statistics (NCHS) reference data, which is misleading. Growth charts for a cohort of 317 infants (164 girls and 153 boys) born in Shiraz (Southern Iran) in 1996 and followed for 2 years from birth are presented. All the centiles of length and weight charts are slightly above those of the NCHS charts under the age of 6 months and fall substantially below those over the age of 6 months. However, the spread is similar, so there is no suggestion that the difference is due to the prevalence of gross malnutrition. The difference shows that the use of locally based growth charts are essential for assessing the growth of children in Iran. The representativeness of our data leads us to conclude that the charts presented here are likely to be applied to the urban infant population of Iran.

Gegenwärtig stehen im Iran für Kleinkinder keine auf lokalen Normdaten basierende Wachstumsdiagramme zur Verfügung. Das Wachstum dieser Kinder wird anhand der Referenzdaten des Nationalen Zentrums für Gesundheitsstatistik (NCHS) eingeschätzt, was zu Fehleinschätzungen führt. Es werden Wachstumsdiagramme für eine Kohorte von 317 Kleinkindern (164 Mädchen und 153 Jungen) vorgestellt, die 1996 in Shiraz (Südiran) geboren wurden und nach ihrer Geburt 2 Jahre lang untersucht wurden. Alle Längen- und Gewichtszentilen liegen bis zu einem Alter von unter 6 Monaten leicht über denjenigen der NCHS-Diagramme und fallen ab einem Alter von 6 Monaten beträchtlich unterhalb diese. Allerdings ist die Spannweite ähnlich und daher gibt es kein Anzeichen dafür, dass der Unterschied auf das Vorliegen einer schweren Unterernährung zurückzuführen ist. Die Unterschiede zeigen, dass die Verwendung von lokalen Wachstumsdiagrammen für die Einschätzung des Wachstums von Kindern im Iran notwendig ist. Die Tatsache, dass unsere Daten als repräsentativ anzusehen sind, veranlasst uns zu der Schlussfolgerung, dass die hier vorgestellten Charts wahrscheinlich für die städtische Kleinkinderpopulation im Iran anwendbar sind.

On ne dispose pas actuellement en Iran de tables normatives de la croissance établies sur des données locales, si bien que la croissance des enfants iraniens est inadéquatement observéeen référence aux données du National Centre for Health Statistics (NCHS). On présente ici des courbes de croissance établies à partir d'une cohorte de 317 enfants (164 filles et 153 garçons) nés à Shiraz (Iran méridional) en 1996 et suivis pendant leurs deux premières années. Tous les centiles de taille et de poids sont légèrement supérieurs à ceux des tables NCHS avant l'âge de six mois, puis leurs deviennent nettement inférieurs par la suite. L'évolution des courbes étant similaire, il n'y a donc pas raison de suspecter que la différence est due à de la malnutrition. Cet écart entre les deux tables montre que l'utilisation de courbes fondées sur des données locales est essentielle pour le suivi de la croissance des enfants en Iran. La représentativité de nos données nous conduit à estimer que les tables présentées dans ce travail sont applicables à la population infantile urbaine en Iran.     

A Novel Similarity Learning Method via Relative Comparison for Content-Based Medical Image Retrieval

Nowadays, the huge volume of medical images represents an enormous challenge towards health-care organizations, as it is often hard for clinicians and researchers to manage, access, and share the image database easily. Content-based medical image retrieval (CBMIR) techniques are employed to facilitate the above process. It is known that a few concrete factors, including visual attributes extracted from images, measures encoding the similarity between images, user interaction, etc. play important roles in determining the retrieval performance. This paper concentrates on the similarity learning problem of CBMIR. A novel similarity learning paradigm is proposed via relative comparison, and a large database composed of 5,000 images is utilized to evaluate the retrieval performance. Extensive experimental results and comprehensive statistical analysis demonstrate the superiority of adopting the newly introduced learning paradigm, compared with several conventional supervised and semi-supervised similarity learning methods, in the presented CBMIR application.