广东省家庭医生式服务试点地区居民健康行为及影响因素分析

目的了解广东省家庭医生式服务试点地区居民健康行为及影响因素,为开展健康教育提供依据。方法2015年7—10月抽样选取1010名家庭医生式服务试点地区居民进行问卷调查,以吸烟、饮酒、早餐、吃水果、锻炼及睡眠等6项行为为调查内容,同时选用P-CAT量表测量基层医疗服务质量。结果 6项行为方式共赋值12分,被调查者平均得分(8.72?0.65)分,得分从高到低依次为吃早餐、限酒、不吸烟、体育锻炼、吃水果和睡眠。多重线性回归分析结果显示:女性、已婚或慢性病患者的健康行为优于各对应组;收入对健康行为有正面影响;基层医疗服务可及性、服务提供综合性对健康行为有正向影响。结论试点地区居民整体健康行为较好。健康教育和健康促进应聚焦于合理膳食、锻炼及睡眠等健康行为;男性、单身或离异及低收入群体是重点关注的对象;提高基层医疗服务可及性和服务提供综合性有利于促进居民的健康行为。     

Rethinking PICO in the Machine Learning Era: ML-PICO

Background  Machine learning (ML) has captured the attention of many clinicians who may not have formal training in this area but are otherwise increasingly exposed to ML literature that may be relevant to their clinical specialties. ML papers that follow an outcomes-based research format can be assessed using clinical research appraisal frameworks such as PICO (Population, Intervention, Comparison, Outcome). However, the PICO frameworks strain when applied to ML papers that create new ML models, which are akin to diagnostic tests. There is a need for a new framework to help assess such papers. Objective  We propose a new framework to help clinicians systematically read and evaluate medical ML papers whose aim is to create a new ML model: ML-PICO (Machine Learning, Population, Identification, Crosscheck, Outcomes). We describe how the ML-PICO framework can be applied toward appraising literature describing ML models for health care. Conclusion  The relevance of ML to practitioners of clinical medicine is steadily increasing with a growing body of literature. Therefore, it is increasingly important for clinicians to be familiar with how to assess and best utilize these tools. In this paper we have described a practical framework on how to read ML papers that create a new ML model (or diagnostic test): ML-PICO. We hope that this can be used by clinicians to better evaluate the quality and utility of ML papers.     

Participatory research in Northwest Atlanta's Proctor Creek Watershed: Using photovoice to explore environmental health risks at the water's edge

In this study we used a participatory research method, photovoice, to explore community perceptions about environmental health risks, community assets, and strengths in and around an urban, degraded watershed in Northwest Atlanta, Georgia. This watershed, formed by Proctor Creek, is a focal point for redevelopment and infrastructure investments for years to come. Using a community-based participatory research approach, 10 Proctor Creek residents (watershed researchers), and a university partner, engaged in data collection; participatory data analysis; internal discussions; translation of research findings into watershed restoration, community revitalization, remedial action, and policy solutions; and dissemination of results to fellow watershed residents, stakeholders, and decision makers. We present a conceptual model linking the watershed researchers' understanding of urban policies and practice in the Proctor Creek Watershed to environmental, neighborhood and housing conditions and their influence on health outcomes and quality of life. Engaging community members in defining their own community environmental health challenges and assets yielded the following primary themes: 1) threats to the natural environment, 2) built environment stressors that influence health, 3) blight and divestment of public resources, and 4) hope for the future. Residents’ vision for the future of the watershed - a restored creek, revitalized neighborhoods, and restored people - is fueled by a strong connection to history, memory, and sense of place. We demonstrate the value of local knowledge in identifying previously unaddressed environmental health risks in the Proctor Creek Watershed as well as solutions to reduce or eliminate them.     

‘When you visit a man you should prepare yourself’: male community care worker approaches to working with men living with HIV in Cape Town,South Africa

Caring is typically constructed as a feminised practice, resulting in women shouldering the burden of care-related work. Health-seeking behaviours are also constructed as feminine and men have poorer health outcomes globally. Employing men as carers may not only improve the health of the men they assist but also be transformative with regards to gendered constructions of caring. Using semi-structured interviews and observational home visits, this study explored the techniques that community care workers employ when working with male clients. The empirical analysis draws on the perspectives of eight care workers and three of their male clients from the Cape Town area. Interviews reveal how care workers and clients perform and negotiate masculinities as they navigate hegemonic masculine norms that require men to act tough, suppress emotions and deny weakness and sickness. Both parties bump up against ideals of what it means to be a man as they strive to provide care and receive support. Community care workers avoid rupturing client performances of hegemonic masculinities which inhibit confession and support. To do this, they use techniques of indirectly broaching sensitive subjects, acting in a friendly way and being clear about the intention of their work.     

Modernisation,smoking and chronic disease: Of temporality and spatiality in global health

This article explores the spatio-temporal logics at work in global health. Influenced by ideas of time–space compression, the global health literature argues that the world is characterised by a convergence of disease patterns and biomedical knowledge. While not denying the influence of these temporalities and spatialities of globalisation within the global health and chronic disease field, the article argues that they sit alongside other, often-conflicting notions of time and space. To do so, it explores the spatio-temporal logics that underpin a highly influential epidemiological model of the smoking epidemic. Unlike the temporalities and spatialities of sameness described in much of the global health literature, the article shows that this model is articulated around temporalities and spatialities of difference. This is not the difference celebrated by postmoderns, but the difference of modernisation theorists built around nations, sequential stages and progress. Indeed, the model, in stark contrast to the ‘one world, one time, one health’ globalisation mantra, divides the world into nation–states and orders them along epidemiological, geographical and development lines.