scholarly journals Recruiting to cohort studies in specialist healthcare services: Lessons learned from clinical research nurses in UK cleft services

2018 ◽  
Vol 27 (5-6) ◽  
pp. e787-e797 ◽  
Author(s):  
Fabio Zucchelli ◽  
Nichola Rumsey ◽  
Kerry Humphries ◽  
Rhiannon Bennett ◽  
Amy Davies ◽  
...  
2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 777-777
Author(s):  
Qian-Li Xue ◽  
Kristine Ensrud ◽  
Shari Lin

Abstract As population aging is accelerating rapidly, there is growing concern on how to best provide patient-centered care for the most vulnerable. Establishing a predictable and affordable cost structure for healthcare services is key to improving quality, accessibility, and affordability. One such effort is the “frailty” adjustment model implemented by the Centers for Medicare & Medicaid Services (CMS) that adjusts payments to a Medicare managed care organization based on functional impairment of its beneficiaries. Earlier studies demonstrated added value of this frailty adjuster for prediction of Medicare expenditures independent of the diagnosis-based risk adjustment. However, we hypothesize that further improvement is possible by implementing more rigorous frailty assessment rather than relying on self-report of ADL difficulties as used for the frailty adjuster. This is supported by the consensus and clinical observations that neither multimorbidity nor disability alone is sufficient for frailty identification. This symposium consists of four talks that leverage data from three CMS-linked cohort studies to investigate the utility of assessment of the frailty phenotype for predicting healthcare utilization and costs. Talk 1 and 2 use data from the NHATS cohort to assess healthcare utilization by frailty status in the general population and the homebound subset. Talk 3 and 4 use data from the MrOS study and the SOF study to investigate the impact of frailty phenotype on healthcare costs. Taken together, their findings highlight the potential of incorporating phenotypic frailty assessment into CMS risk adjustment to improve the planning and management of care for frail older adults.


2000 ◽  
Vol 12 (S1) ◽  
pp. 41-45 ◽  
Author(s):  
Daniel W. O'Connor

Epidemiology, which addresses the health of populations rather than that of individuals, is a complex discipline with a special language and set of methodologies that distinguish it from clinical research. Its objectives include identifying the causes of disease, mapping patterns of use of healthcare services, and measuring the costs to the community of mental and physical illness.


2007 ◽  
Vol 0 (0) ◽  
pp. 070621074500021-??? ◽  
Author(s):  
Karen Spilsbury ◽  
Emily Petherick ◽  
Nicky Cullum ◽  
Andrea Nelson ◽  
Jane Nixon ◽  
...  

2018 ◽  
Vol 27 (01) ◽  
pp. 177-183 ◽  
Author(s):  
Christel Daniel ◽  
Dipak Kalra ◽  

Objectives: To summarize key contributions to current research in the field of Clinical Research Informatics (CRI) and to select best papers published in 2017. Method: A bibliographic search using a combination of MeSH descriptors and free terms on CRI was performed using PubMed, followed by a double-blind review in order to select a list of candidate best papers to be then peer-reviewed by external reviewers. A consensus meeting between the two section editors and the editorial team was organized to finally conclude on the selection of best papers. Results: Among the 741 returned papers published in 2017 in the various areas of CRI, the full review process selected five best papers. The first best paper reports on the implementation of consent management considering patient preferences for the use of de-identified data of electronic health records for research. The second best paper describes an approach using natural language processing to extract symptoms of severe mental illness from clinical text. The authors of the third best paper describe the challenges and lessons learned when leveraging the EHR4CR platform to support patient inclusion in academic studies in the context of an important collaboration between private industry and public health institutions. The fourth best paper describes a method and an interactive tool for case-crossover analyses of electronic medical records for patient safety. The last best paper proposes a new method for bias reduction in association studies using electronic health records data. Conclusions: Research in the CRI field continues to accelerate and to mature, leading to tools and platforms deployed at national or international scales with encouraging results. Beyond securing these new platforms for exploiting large-scale health data, another major challenge is the limitation of biases related to the use of “real-world” data. Controlling these biases is a prerequisite for the development of learning health systems.


2013 ◽  
Vol 14 (2) ◽  
pp. 52-57 ◽  
Author(s):  
Kevin Brian Rebe ◽  
Glenn De Swardt ◽  
Helen Elizabeth Struthers ◽  
James Alisdair McIntyre

Health programming for men who have sex with men (MSM) in South Africa has been ignored or absent until fairly recently, despite this population being at high risk for HIV acquisition and transmission. Anova Health Institute, with support from the US President's Emergency Plan for AIDS Relief (PEPFAR)/United States Agency for International Development (USAID) and in collaboration with the South African National Department of Health, launched the first state sector MSM-targeted sexual health clinic in 2010. The clinic has been successful in attracting and retaining MSM in care, and lessons learned are described in this article. Components contributing to the creation of MSM-appropriate healthcare services are discussed.


2011 ◽  
pp. 1222-1231
Author(s):  
Penny A. Jennett ◽  
Eldon R. Smith ◽  
Mamoru Watanabe ◽  
Sharlene Stayberg

Canada spans 9,976,140 square kilometers and has an approximate population of 32 million people (Statistics Canada, 2001). More than 90% of Canada’s geography is considered rural or remote (Government of Canada, 2001). Despite the highly dispersed population, and, indeed, because of it, Canada is committed to the idea that a networked telehealth system could provide better access and equity of care to Canadians. Growing evidence of the feasibility and affordability of telehealth applications substantiates Canada’s responsibility to promote and to develop telehealth. Telehealth is the use of advanced telecommunication technologies to exchange health information and provide healthcare services across geographic, time, social, and cultural barriers (Reid, 1996). According to a systematic review of telehealth projects in different countries (Jennett et al., 2003a, 2003b), specific telehealth applications have shown significant socioeconomic benefits to patients and families, healthcare providers, and the healthcare system. Implementing telehealth can impact the delivery of health services by increasing access, improving quality of care, and enhancing social support (Bashshur, Reardon, & Shannon, 2001; Jennett et al., 2003a). It also has the potential to impact skills training of the health workforce by increasing educational opportunities (Jennett et al., 2003a; Watanabe, Jennett, & Watson, 1999). Therefore, telehealth has a strong potential to influence improved health outcomes in the population (Jennett et al., 2003a, 2003b). Fourteen health jurisdictions—one federal, 10 provincial, and three territorial—are responsible for the policies and infrastructure associated with healthcare delivery in Canada. This article presents a telehealth case study in one of Canada’s health jurisdictions—the province of Alberta. The rollout of telehealth in Alberta serves as an example of best practice. Significant milestones and lessons learned are presented. Progress toward the integration of the telehealth network into a wider province-wide health information network also is highlighted.


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