個人健康管理の一手段としての超音波ドップラー法による末梢血管血流速度計測

4人の「冷え性」に悩みをもつ被験者を対象に，ポケット型超音波血流計を在宅で用いて手首の橈骨動脈血流速度を日毎粒度で半年間計測・取得したデータを基に，睡眠、運動など生活習慣との関係を分析した結果、 （１）4被験者すべてにおいて，気温の高い夏季期間に血流速度の増加が観測され，生体に備わる深部体温調節機能の表れと考えられた． （２）4被験者すべてにおいて，血流速度と睡眠時間の間に有意な正の相関がみられ，睡眠による血液循環の改善効果と考えらえた． （３）血流速度と歩数の間に，2被験者で有意な正の，他の2被験者で負の相関がみられ，未だ全くの仮説ではあるが，原因として運動による血液循環の改善と筋肉への血流配分の兼ね合いによる可能性が考えられた．研究論

近赤外分光画像計測法による末梢血液中ヘモグロビン濃度の時系列データ解析 ―個人の生活習慣との関係において―

４名の被験者を対象に、近赤外分光画像計測法を用い末梢血液中ヘモグロビン濃度の時系列データを取得し、遅延相関分析法により運動、睡眠、サプリメント摂取など生活習慣との関係を解析した。その結果、（１）鉄分を多く含む食品やサプリメントの摂取効果が明らかになった、（２）適度な有酸素運動はヘモグロビン濃度を増加させるがアスリートが行う激しいトレーニングは逆に減少させた、（３）睡眠時間が長いとヘモグロビン濃度が増加する傾向が見られた

Designing an Artifact to Support Incentives for Medication Adherence

This research is motivated by the current trend towards utilization of mobile technology in healthcare interventions. Despite academic and practitioner efforts, lack of medication adherence continues to be a leading indicator of poor health outcomes and increased hospitalizations worldwide. There are several possible incentive systems that remain relatively unexplored in the field of medication adherence. Our analysis of the current academic research and existing medication adherence applications indicates a research gap and an opportunity to create a significant contribution through the design of an application (app) addressing the complex problem of medication adherence. Therefore, we propose the design of an app to positively influence patient behavior through incentives to improve medication adherence. The contribution of this research is a novel design utilizing multiple incentive types to improve medication adherence

Integrated, reliable and cloud-based personal health record: a scoping review.

Personal Health Records (PHR) emerge as an alternative to integrate patient’s health information to give a global view of patients' status. However, integration is not a trivial feature when dealing with a variety electronic health systems from healthcare centers. Access to PHR sensitive information must comply with privacy policies defined by the patient. Architecture PHR design should be in accordance to these, and take advantage of nowadays technology. Cloud computing is a current technology that provides scalability, ubiquity, and elasticity features. This paper presents a scoping review related to PHR systems that achieve three characteristics: integrated, reliable and cloud-based. We found 101 articles that addressed thosecharacteristics. We identified four main research topics: proposal/developed systems, PHR recommendations for development, system integration and standards, and security and privacy. Integration is tackled with HL7 CDA standard. Information reliability is based in ABE security-privacy mechanism. Cloud-based technology access is achieved via SOA.CONACYT - Consejo Nacional de Ciencia y TecnologíaPROCIENCI

A Proposal for a Robust Validated Weighted General Data Protection Regulation-based Scale to Assess the Quality of Privacy Policies of Mobile Health Applications: an eDelphi Study

Healthcare services are undergoing a digital transformation in which the Participatory Health Informatics field has a key role. Within this field, studies aimed to assess the quality of digital tools, including mHealth apps, are conducted. Privacy is one dimension of the quality of a mHealth app. Privacy consists of several components, including organizational, technical and legal safeguards. Within legal safeguards, giving transparent information to the users on how their data is handled is crucial. This information is usually disclosed to users through the privacy policy document. Assessing the quality of a privacy policy is a complex task and several scales supporting this process have been proposed in the literature. However, these scales are heterogeneous and even not very objective. In our previous study, we proposed a checklist of items guiding the assessment of the quality of a mHealth app privacy policy, based on the General Data Protection Regulation. Objective: To refine the robustness of our General Data Protection Regulation-based privacy scale to assess the quality of a mHealth app privacy policy, to identify new items, and to assign weights for every item in the scale. Methods: A two-round modified eDelphi study was conducted involving a privacy expert panel. Results: After the Delphi process, all the items in the scale were considered „important“ or „very important“ (4 and 5 in a 5-point Likert scale, respectively) by most of the experts. One of the original items was suggested to be reworded, while 8 tentative items were suggested. Only 2 of them were finally added after Round 2. 11 of the 16 items in the scale were considered „very important“ (weight of 1), while the other 5 were considered „important“ (weight of 0.5). Conclusions: The Benjumea privacy scale is a new robust tool to assess the quality of a mHealth app privacy policy, providing a deeper and complementary analysis to other scales that assesses the general quality. Also, this robust scale provides a guideline for the development of high-quality privacy policies of mHealth apps.Universidad de Sevilla and the Ministerio de Universidades of the Spanish Government under the Requalification of Spanish University System Program funded by European Union –NextGenerationEUCátedra de Telefónica “Inteligencia en la red“ of the Universidad de SevillaCátedra Indra “Sociedad Digital” of the Universidad de Sevill