医院信息化平台住院陪护人员管理功能的开发与应用

目的 探讨医院信息系统中增加住院陪护管理功能的应用效果。方法 基于互联网医院、智慧医院等信息系统，开发信息化住院陪护管理功能，包括流行病学史调查、免费核酸申请、电子陪护证办理、体温监测登记及上报和统计查询。该功能与医院智慧护理链接后全院应用。比较功能应用前和应用后的遵医嘱一患一陪达标率、有效陪护证达标率、体温监测并登记日上报达标率和陪护证使用追溯率，评价护士和管理者疫情防控管理的人均耗时以及对该管理功能的满意度。结果 应用信息化陪护管理功能后，一患一陪达标率、有效陪护证达标率、体温监测并登记日上报达标率和陪护证使用追溯率显著高于应用前（均P＜0.05）；护士陪护管理人均耗时从（554.13±30.77）s降至（311.67±21.54）s（P＜0.05）；护士和管理者对该信息化陪护管理功能的满意度显著提高（均P＜0.05）。结论 信息化住院陪护管理功能的应用有效提升了疫情期间陪护的管理质量和管理效率，提高了一线护士和管理者的满意度。     

Impact of a web-based personally tailored physical activity intervention on depression,anxiety, stress and quality of life: Secondary outcomes from a randomized controlled trial

BackgroundFew studies have investigated the impact of web-based physical activity interventions on mental health outcomes. Therefore, this study examined the impact of a web-based personally tailored physical activity intervention on depression, anxiety, stress and quality of life.Methods501 participants were randomised into either a control group or a pooled intervention condition who received a 3-month web-based personally tailored physical activity intervention. Previously, this intervention has demonstrated to improve self-reported physical activity, but not device-measured physical activity. At baseline, 3- and 9-months, depression, anxiety and stress were assessed using the DASS21, and quality of life was assessed using the SF-12V2. General linear mixed models examined differences between groups over time.ResultsMost participants (>80%) reported normal levels of depression, anxiety or stress. Relative to baseline levels, significant reductions of depression, anxiety, stress and the SF12 mental health component were observed in the pooled intervention group at 3 and 9 months. Relative to the control group, significant reductions were observed in the pooled intervention group for depression and stress (3-months only) and anxiety (3- and 9-months), but not quality of life.ConclusionA web-based physical activity intervention can result in positive mental health outcomes, even in the absence of device-measured physical activity improvements. However, these findings need to be confirmed in future studies.Trial registration numberACTRN12615000057583.     

NICE’s recent guidelines on “the size of your waist” unfairly penalizes shorter people

The National Institute for Clinical Excellence (NICE) has just released its latest guidelines to assess and predict health risk, such as type 2 diabetes, hypertension or cardiovascular disease. Their latest advice is “Keep the size of your waist to less than half of your height”. We believe this advice is flawed and will seriously and unfairly penalize shorter people and lull taller people into a false sense of security. In this short communication, we provide this evidence. We consider this a serious oversight by NICE and feel strongly that this evidence needs to be made available in the public domain.     

基于内容分析法的中医类APP现状分析

随着手机APP对人们日常工作和生活方式的改变，中医类APP日益得到关注。文章基于内容分析法对目前中医类APP现状进行梳理，分析存在的问题，对未来中医类APP的设计和开发提出建议。以每一个APP为分析单元，从一般情况、主要功能、用户评价等3个方面进行分析，建立了7个维度22个细目的编码体系，进行频数统计和分析。发现目前中医类APP功能丰富，用户广泛，成为中医药服务及中医科学传播的重要载体，具有良好的用户粘度及巨大市场需求，但存在质量良莠不齐、内容资源不佳等问题。提出中医类APP开发应符合中医药发展战略的方向，应进一步规范中医类APP隐私政策和相关法律法规；并探索中医类APP的评价标准和评价指标体系，促进和规范中医类APP的质量提升和不断发展。     

Quality indicators for breast cancer care: A systematic review

ObjectivesWe evaluated breast cancer (BC) care quality indicators (QIs) in clinical pathways and integrated health care processes.MethodsFollowing protocol registration (Prospero n^o: CRD42021228867), relevant documents were identified, without language restrictions, through a systematic search of bibliographic databases (EMBASE, Scopus, Web of Science, MEDLINE), health care valuable representatives and the World Wide Web in April 2021. Data concerning QIs, measurement tools and compliance standards were extracted from European and North American sources in duplicate with 98% reviewer agreement.ResultsThere were 89 QIs found from 22 selected documents (QI per document mean 13.5 with standard deviation 11.9). The Belgian (38 QIs) and the EUSOMA (European Society of Breast Cancer Specialists) (34 QIs) documents were the ones that best reported the QIs. No identical QI was identified in all the documents analysed. There were 67/89 QIs covering processes (75.3%) and 11/89 (12.4%) for each structure and outcomes QIs. There were 21/89 QIs for diagnosis (30.3%), 43/89 for treatment (48.3%), and 19/89 for staging, counselling, follow-up and rehabilitation (21.4%). Of 67 process QIs and 11 outcome QIs, 20/78 (26%) did not report a minimum standard of care. Shared decision making was only included as a QI in the Italian document.ConclusionMore than half of countries have not established a national clinical pathway or integrated breast cancer care process to achieve the excellence of BC care. There was heterogeneity in QIs for the evaluation of BC care quality. Over two-thirds of the clinical pathways and integrated health care processes did not provide a minimum auditable standard of care for compliance, leaving open the definition of best practice. There is a need for harmonisation of BC care QIs.     

Internet of things-based health monitoring system for early detection of cardiovascular events during COVID-19 pandemic

The coronavirus disease 2019 (COVID-19) has currently caused the mortality of millions of people around the world. Aside from the direct mortality from the COVID-19, the indirect effects of the pandemic have also led to an increase in the mortality rate of other non-COVID patients. Evidence indicates that novel COVID-19 pandemic has caused an inflation in acute cardiovascular mortality, which did not relate to COVID-19 infection. It has in fact increased the risk of death in cardiovascular disease (CVD) patients. For this purpose, it is dramatically inevitable to monitor CVD patients’ vital signs and to detect abnormal events before the occurrence of any critical conditions resulted in death. Internet of things (IoT) and health monitoring sensors have improved the medical care systems by enabling latency-sensitive surveillance and computing of large amounts of patients’ data. The major challenge being faced currently in this problem is its limited scalability and late detection of cardiovascular events in IoT-based computing environments. To this end, this paper proposes a novel framework to early detection of cardiovascular events based on a deep learning architecture in IoT environments. Experimental results showed that the proposed method was able to detect cardiovascular events with better performance (95.30% average sensitivity and 95.94% mean prediction values).     

Constructing queer mother‐knowledge and negotiating medical authority in online lesbian pregnancy journals

Medical interactions around reproduction are increasingly extending beyond the physician's office and onto the Internet, where negotiation with medical authority occurs in complex and dynamic ways. Recently, scholars have noted the Internet's potential for creating spaces where women can dialogue with and reconstruct medical authority, yet this growing body of work is overwhelming heteronormative. This paper thus interrogates how lesbian women use the Internet to challenge, deploy, and rework medical authority around reproduction while navigating the transition to parenthood. I draw from 17 online journals authored by lesbian couples during the conception, pregnancy, and birth of their first child, each spanning between 18 months and 2 years, in order to understand how the transition process unfolds over time. I argue that lesbian couples engage with medical authority when seeking affirmation and normalisation yet discard and publicly reject the heteronormative assumptions that accompany reproductive medicine. Further, they chart a new process that I term ‘constructing queer mother‐knowledge’, in which they critique and balance knowledges from institutionalised medicine, their own bodies, and their queer communities. With this new concept, I complicate understandings of lesbian mothers‐to‐be and their interactions with medical authority as they build subversive families.