上海市社区药学服务需求现状

背景 随着患者就诊下沉明显，联合家庭医生团队开展社区药学服务日益重要，但如何发挥家庭医生团队作用以满足患者社区药学服务需求仍有待进一步探索。 目的 了解上海市社区药学服务需求现状，为改进社区药学人员参与家庭医生团队开展服务的方式提供参考建议。 方法 于2020年9—12月，采用多阶段抽样法抽取349例老年慢性病患者和855例家庭医生团队主要成员〔全科医生（n=481）、护士（n=234）、公共卫生医生（n=140）〕进行问卷调查。针对老年慢性病患者的调查问卷主要内容包括基本情况、患病情况、用药情况、社区药学服务需求情况和社区药学服务利用情况。针对家庭医生团队成员的调查问卷主要内容包括基本情况、社区药学服务认知情况和社区药学服务需求情况。 结果 349例老年慢性病患者中，125例（35.8%）同时患有≥3种慢性病，305例（87.4%）每日需多次用药。用药管理类药学服务方面，"用药重整及随访"需求人数最多，为52例（14.9%），"用药随访"利用人数最多，为49例（14.0%）。用药教育类药学服务方面，"慢性病用药特殊性的普及教育"需求人数最多，为247例（70.8%），"宣传健康生活方式"利用人数最多，为33例（9.4%）。家庭医生团队成员中，全科医生、护士、公共卫生医生对药学服务的了解程度方面，分别有440例（91.5%）、202例（86.3%）、112例（80.0%）表示了解；对药师的信任程度方面，分别有302例（62.8%）、183例（78.2%）、103例（73.6%）表示非常信任；"协同医师做好药物使用遴选"服务项目的需求人数分别有359例（74.6%）、112例（47.9%）、81例（57.8%）；"指导护士使用与管理药品"服务项目的需求人数分别有190例（39.5%）、153例（65.4%）、57例（40.7%）。 结论 一方面患者实际迫切需要用药管理类药学服务，另一方面患者的用药教育类药学服务需求远未得到满足。鉴于社区药学人员队伍薄弱及家庭医生团队对社区药学服务认知局限的现状，社区药学人员应通过培训团队成员，提升团队的社区药学服务认知水平及服务能力，借助团队力量及成员特性，更广泛高效地开展社区药学服务。     

中青年楼宇人群的家庭医生签约服务需求满足状况及影响因素研究

背景 上海市正逐步将家庭医生签约服务拓展至楼宇功能社区，目前中青年楼宇人群的服务需求满足状况尚不知晓。研究中青年楼宇人群的家庭医生签约服务需求满足状况，分析其影响因素，可以为制定和调整家庭医生楼宇服务相关政策提供参考。 目的 探讨中青年楼宇人群的家庭医生签约服务需求满足状况，并分析其影响因素。 方法 于2019年12月至2020年12月，在上海市虹口区、浦东新区、静安区采用典型抽样法抽取楼宇，在选中楼宇内采用整群随机抽样法抽取中青年人群（18~59岁）开展问卷调查，共回收有效问卷2 272份，本研究以其中有家庭医生服务利用经历的1 137例受试者为研究对象。涉及的主要调查内容为受试者的社会人口和经济学特征、健康状况、对家庭医生签约服务的了解度及家庭医生签约服务需求满足状况（包括基本服务需求、个性化服务需求两方面，均采用Likert 5级评分法）。采用多元有序Logistic回归分析中青年楼宇人群家庭医生签约服务需求满足状况的影响因素。 结果 39.61%（425/1 073）的受试者表示家庭医生签约服务比较满足/完全满足其基本服务需求，39.01%（419/1 074）的受试者表示家庭医生签约服务比较满足/完全满足其个性化服务需求。多元有序Logistic回归分析结果显示：户籍、职业类别、年收入、自评健康状况、对家庭医生"1+1+1"签约服务了解度、对家庭医生信任度、对家庭医生服务能力评价是中青年楼宇人群基本服务需求满足状况的影响因素（P<0.05）；性别、年收入、患慢性病情况、对家庭医生"1+1+1"签约服务了解度、对家庭医生团队组成了解度、对家庭医生服务能力评价是中青年楼宇人群个性化服务需求满足状况的影响因素（P<0.05）。 结论 约40%的楼宇人群认为家庭医生签约服务能够满足其基本服务需求/个性化服务需求，主要影响因素可概括为楼宇人群的社会经济状况、健康状况、对家庭医生签约服务的认知度、家庭医生的服务能力4个方面。建议加强对家庭医生签约服务的宣传，并针对楼宇人群特点和差异化需求，为其定制个性化的服务方案；同时，着力提升家庭医生服务能力，丰富签约服务内涵。     

甘肃省养老机构老年人健康服务需求及影响因素分析

目的探讨甘肃省养老机构老年人健康服务需求现状及主要影响因素,为健全和完善机构养老服务提供理论依据。方法选取甘肃省兰州市、张掖市和平凉市养老机构的360名老年人作为调查对象,采用自设问卷对其进行调查。结果养老机构老年人健康服务需求总分为28.48±5.78分,地区、家庭类型、文化程度为影响健康服务需求的独立影响因素。欠发达地区,不完整的家庭及文化程度较低的老人对健康服务需求更高。结论应根据不同特征老年人的需求有针对性地提供相关养老服务项目。养老机构应该定期采集老年人的意见,鼓励子女探望,大力开展健康知识宣教,并完善养老与医疗服务机构间的合作机制。     

Meeting women’s demand for contraceptives in Ghana: Does autonomy matter?

This study addressed a basic conceptual gap in research on the relationship between women’s autonomy and contraceptive behavior and included intention to use while measuring the unmet demand for family planning. The study used data from the 2014 Ghana Demographic and Health Survey. The weighted sample included 2,017 sexually active, non-pregnant, fecund women in unions, aged 15–49 years, who wanted to delay conception for at least 2 years. The relation of household decision-making autonomy to current contraceptive use and intention was assessed, adjusting for women’s socio-demographic, partner, and couple characteristics. About half of the women studied had a met demand for contraception, and over a third had no intention to use a contraceptive method in the future. In adjusted multinomial logistic regression models, household decision-making autonomy was not significantly associated with met contraceptive demand for contraceptives, but was associated with their intentions to use contraception (p = .05). Formal education, age, wealth, and region of residence were significantly associated with having a met demand. In Ghana, women’s household decision-making autonomy appears to have modest relation to contraceptive uptake. Programs to improve meeting contraceptive demand should consider contextual factors and place differences in contraceptive uptake.     

Readmission treatment price and product quality in the hospital sector

In this paper, we study the effect of readmission treatment payment in a dynamic framework characterised by competition among hospitals and sluggish beliefs of patients concerning the service quality. We find that the effect of readmission treatment payment depends on the interplay between the effect of quality in lowering readmissions and its effect on future demand. When the readmission occurrence strongly depends on the service quality, the higher the readmission treatment payment for hospitals, the lower the incentive to provide quality. Instead, when readmission depends barely on quality, the readmission payment acts as the treatment price for first admissions, and thus it reinforces the incentive to provide quality. We also show that the detrimental effect of readmission payments on quality are fed by a high degree of demand sluggishness, that is, by situation where current quality has modest effect on future demand changes. Our findings are robust to different equilibrium concepts of the differential game (i.e., open‐loop and state‐feedback). The results suggest that a discounted regulated price for readmission can be an effective (and cost‐free) policy tool to improve health care quality, especially when the market is characterised by sluggish beliefs about quality.     

Response: Anxiety and behaviour in and beyond ASD; does the idea of ‘PDA’ really help? – a response to Green (2020)

This paper is in response to the commentary written by Richard Woods in which he attempts to provide support for his Monotropism autism theory and the research indicating that Demand Avoidance Phenomena may not be developmentally persistent (Woods, 2019). We acknowledge the continuing controversy around the proposed construct of PDA and the clinical dilemma faced by professionals, within the United Kingdom, following increased demand from families seeking assessment and support. We appreciate that research on this topic is scarce and understanding of PDA behaviours remains limited and that methodological improvements are required. However, it is important to remember that anxiety, which often has an onset in middle childhood and adolescence, is a major risk factor for mental health difficulties. Therefore, treatments targeting underlying and potentially modifiable mechanisms rather than anxiety symptoms may be more likely to be effective.     

支持向量机在水源水化学耗氧量预测中的应用

目的应用支持向量机预测水中化学耗氧量(COD)浓度。方法基于研究地区的水质监测数据,运用支持向量机算法构建水质预测模型,并对某水厂水源水中COD月均浓度进行了预测。结果建模以后预测结果显示,训练集的均方误差MSE=0.039 4,相关系数R=0.805 4,平均相对误差MRE=4.22%;两组测试集样本的相对误差分别为8.89%和0.98%。结论该模型的预测性能良好,简便易行,可以为水质预测提供新思路。