<strong>Introduction:</strong> Improving maternal and newborn survival needs robust data on patterns of morbidity and mortality from well-characterized cohorts. It is equally important for researchers to d...<strong>Introduction:</strong> Improving maternal and newborn survival needs robust data on patterns of morbidity and mortality from well-characterized cohorts. It is equally important for researchers to document and understand the contextual challenges of data collection and how they are addressed. <strong>Methods:</strong> This was a prospective cohort study implemented from December 2012 to August 2014 in Matiari, Pakistan. A total of 11,315 pregnancies were enrolled. Participants were approached at home for sequential data collection through the standard pretested structured questionnaires. Some indicators were sourced through health facility records. Information on field challenges gathered through field diaries and minutes of meetings with field staff. <strong>Results:</strong> Inaccurate reporting of last menstrual period (LMP) dates caused difficulties in the planning and completion of antenatal data collection visits at scheduled gestational weeks. We documented ultrasound reports wherever available, relied on quickening technique, and implemented a seasonal event calendar to help mothers’ recall their LMP. Health system coordinators of public sector and private healthcare providers were individually approached for maximum data collection. But an unregulated private health system with poor record maintenance and health care providers’ reluctance for cooperation posed a greater challenge in data collection. <strong>Conclusions:</strong> Within a broader understanding of the health systems and socio-cultural environment, temporal and spatial feasibility of data collection should be considered thoroughly at the early stages of study designing, planning, resource allocation, and implementation. Pre-defined regular and need-based meetings with each tier of data collection teams and study managers help to reinvigorate field execution plans and optimize both quantity and quality of study data.展开更多
After a review of recent developments in precision medicine, population health sciences and innovative clinical trial designs, and in health economics and policy, we show how innovations in health analytics can capita...After a review of recent developments in precision medicine, population health sciences and innovative clinical trial designs, and in health economics and policy, we show how innovations in health analytics can capitalize on the advances in biomedicine and health economics towards developing a data-driven and cost-effective 21<sup>st</sup> century health care system. In particular, we propose a mutually beneficial public-private partnership that combines individual responsibility with community solidarity in building this health care system.展开更多
随着越来越多的医疗机构开始应用电子健康档案系统(Electronic Health Records,EHR)来管理患者资料,基于在临床研究工作对患者资料的需求,各研究机构也开始以电子健康档案系统作为临床研究的数据来源。EHRCR(Electronic Health Records/...随着越来越多的医疗机构开始应用电子健康档案系统(Electronic Health Records,EHR)来管理患者资料,基于在临床研究工作对患者资料的需求,各研究机构也开始以电子健康档案系统作为临床研究的数据来源。EHRCR(Electronic Health Records/Clinical Research)项目是在2006年1 2月由HL7技术委员会(Health Level Seven TechnicalCommittee,HL7 TC)和欧洲健康档案研究所(European lnstitute for Health Records,Eu roRec)发起,旨在研究未来可以支持临床研究的电子健康档案系统应具有的功能,以及与此相关的系统、网络和业务流程。因此,对该项目的最新研究成果加以介绍,作为我国电子健康档案行业发展的参考。展开更多
文摘<strong>Introduction:</strong> Improving maternal and newborn survival needs robust data on patterns of morbidity and mortality from well-characterized cohorts. It is equally important for researchers to document and understand the contextual challenges of data collection and how they are addressed. <strong>Methods:</strong> This was a prospective cohort study implemented from December 2012 to August 2014 in Matiari, Pakistan. A total of 11,315 pregnancies were enrolled. Participants were approached at home for sequential data collection through the standard pretested structured questionnaires. Some indicators were sourced through health facility records. Information on field challenges gathered through field diaries and minutes of meetings with field staff. <strong>Results:</strong> Inaccurate reporting of last menstrual period (LMP) dates caused difficulties in the planning and completion of antenatal data collection visits at scheduled gestational weeks. We documented ultrasound reports wherever available, relied on quickening technique, and implemented a seasonal event calendar to help mothers’ recall their LMP. Health system coordinators of public sector and private healthcare providers were individually approached for maximum data collection. But an unregulated private health system with poor record maintenance and health care providers’ reluctance for cooperation posed a greater challenge in data collection. <strong>Conclusions:</strong> Within a broader understanding of the health systems and socio-cultural environment, temporal and spatial feasibility of data collection should be considered thoroughly at the early stages of study designing, planning, resource allocation, and implementation. Pre-defined regular and need-based meetings with each tier of data collection teams and study managers help to reinvigorate field execution plans and optimize both quantity and quality of study data.
文摘After a review of recent developments in precision medicine, population health sciences and innovative clinical trial designs, and in health economics and policy, we show how innovations in health analytics can capitalize on the advances in biomedicine and health economics towards developing a data-driven and cost-effective 21<sup>st</sup> century health care system. In particular, we propose a mutually beneficial public-private partnership that combines individual responsibility with community solidarity in building this health care system.
文摘随着越来越多的医疗机构开始应用电子健康档案系统(Electronic Health Records,EHR)来管理患者资料,基于在临床研究工作对患者资料的需求,各研究机构也开始以电子健康档案系统作为临床研究的数据来源。EHRCR(Electronic Health Records/Clinical Research)项目是在2006年1 2月由HL7技术委员会(Health Level Seven TechnicalCommittee,HL7 TC)和欧洲健康档案研究所(European lnstitute for Health Records,Eu roRec)发起,旨在研究未来可以支持临床研究的电子健康档案系统应具有的功能,以及与此相关的系统、网络和业务流程。因此,对该项目的最新研究成果加以介绍,作为我国电子健康档案行业发展的参考。
