자연주의적 탐구조사(Naturalistic Inquiry)

The number of cancer survivors continues to increase because of both advances in early detection and treatment and the aging and growth of the population. For the public health community to better serve these survivors, the American Cancer Society and the National Cancer Institute collaborate to estimate the number of current and future cancer survivors using data from the Surveillance, Epidemiology, and End Results cancer registries. In addition, current treatment patterns for the most prevalent cancer types are presented based on information in the National Cancer Data Base and treatment-related side effects are briefly described. More than 15.5 million Americans with a history of cancer were alive on January 1, 2016, and this number is projected to reach more than 20 million by January 1, 2026. The 3 most prevalent cancers are prostate (3,306,760), colon and rectum (724,690), and melanoma (614,460) among males and breast (3,560,570), uterine corpus (757,190), and colon and rectum (727,350) among females. More than one-half (56%) of survivors were diagnosed within the past 10 years, and almost one-half (47%) are aged 70 years or older. People with a history of cancer have unique medical and psychosocial needs that require proactive assessment and management by primary care providers. Although there are a growing number of tools that can assist patients, caregivers, and clinicians in navigating the various phases of cancer survivorship, further evidence-based resources are needed to optimize care. CA Cancer J Clin 2016;66:271-289. © 2016 American Cancer Society.

https://onlinelibrary.wiley.com/doi/pdf/10.3322/caac.21349

Cancer treatment and survivorship statistics, 2016.

With the continued interest in the role of the gut microbiota in health, attention has now turned to how to harness the microbiota for the benefit of the host. This Consensus Statement outlines the definition and scope of the term 'prebiotic' as determined by an expert panel convened by the International Scientific Association for Probiotics and Prebiotics in December 2016. In December 2016, a panel of experts in microbiology, nutrition and clinical research was convened by the International Scientific Association for Probiotics and Prebiotics to review the definition and scope of prebiotics. Consistent with the original embodiment of prebiotics, but aware of the latest scientific and clinical developments, the panel updated the definition of a prebiotic: a substrate that is selectively utilized by host microorganisms conferring a health benefit. This definition expands the concept of prebiotics to possibly include non-carbohydrate substances, applications to body sites other than the gastrointestinal tract, and diverse categories other than food. The requirement for selective microbiota-mediated mechanisms was retained. Beneficial health effects must be documented for a substance to be considered a prebiotic. The consensus definition applies also to prebiotics for use by animals, in which microbiota-focused strategies to maintain health and prevent disease is as relevant as for humans. Ultimately, the goal of this Consensus Statement is to engender appropriate use of the term 'prebiotic' by relevant stakeholders so that consistency and clarity can be achieved in research reports, product marketing and regulatory oversight of the category. To this end, we have reviewed several aspects of prebiotic science including its development, health benefits and legislation.

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Expert consensus document: The International Scientific Association for Probiotics and Prebiotics (ISAPP) consensus statement on the definition and scope of prebiotics

QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensive panel of tumor identification and high-throughput biomarker evaluation tools, QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images. Furthermore, QuPath’s flexible design makes it suitable for a wide range of additional image analysis applications across biomedical research.

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QuPath: Open source software for digital pathology image analysis

Frailty Consensus: A Call to Action

The aim of our systematic review was to retrieve and integrate relevant evidence related to the process of formation and implementation of the academic–service partnership, with the aim of reformin...

Systematic Review: Process of Forming Academic Service Partnerships to Reform Clinical Education

Qualitative content analysis consists of conventional, directed and summative approaches for data analysis. They are used for provision of descriptive knowledge and understandings of the phenomenon under study. However, the method underpinning directed qualitative content analysis is insufficiently delineated in international literature. This paper aims to describe and integrate the process of data analysis in directed qualitative content analysis. Various international databases were used to retrieve articles related to directed qualitative content analysis. A review of literature led to the integration and elaboration of a stepwise method of data analysis for directed qualitative content analysis. The proposed 16-step method of data analysis in this paper is a detailed description of analytical steps to be taken in directed qualitative content analysis that covers the current gap of knowledge in international literature regarding the practical process of qualitative data analysis. An example of "the resuscitation team members' motivation for cardiopulmonary resuscitation" based on Victor Vroom's expectancy theory is also presented. The directed qualitative content analysis method proposed in this paper is a reliable, transparent, and comprehensive method for qualitative researchers. It can increase the rigour of qualitative data analysis, make the comparison of the findings of different studies possible and yield practical results.

/pdf/directed-qualitative-content-analysis-the-description-and-xu6yu0h4vw.pdf

Directed qualitative content analysis: the description and elaboration of its underpinning methods and data analysis process

/pdf/clinical-supervision-system-a-method-for-improving-4zzcrtqqq1.pdf

Clinical Supervision System: A Method for Improving Educational Performance of Nursing Personnel

Mutual benefits in academic-service partnership: An integrative review.

Background Medication non-adherence is the major risk factor for rejection episodes. The aim of this study was to determine the risk factors associated with adherence to immunosuppressive regimen and its barriers among kidney transplant (KT) recipients. Methods A cross-sectional study was performed in two outpatient post-transplant clinics in Mashhad, northeast of Iran. All patients who attended the clinics from August to October 2017 were included. Patients's knowledge, adherence to immunosuppressive regimen, and quality of life were measured using the Kidney Transplant Understanding Tool, Basel Assessment of Adherence to Immunosuppressive Medications Scale (BAASIS), and SF-12V2 questionnaire, respectively. The barriers in adhering immunosuppressive regimen were investigated by Immunosuppressive Therapy Barriers Scale. Logistic regression was used to screen the significant risk factors of medication non-adherence. Results In this study, 244 KT recipients were included with a mean age of 39.6±12.5 years. Based on the BAASIS score, 111 (45.5%) patients were adherent to immunosuppressive regimen. Female patients were more likely to be adherent (OR=0.48, p<0.01). The patients with higher level of quality of life were more likely to follow immunosuppressive medications (OR=1.078, p<0.05). The main barriers were as follows: concurrent use of many immunosuppressants, lack of knowledge about the usefulness of immunosuppressive medications, confusion in medication taking, and difficulty in remembering medication taking. Conclusion More than half of the KT recipients were non-adherence to immunosuppressive regimen. These findings highlight the need for designing interventions in order to reduce or eliminate these barriers and consequently increase medication adherence among KT recipients.

/pdf/factors-associated-with-adherence-to-immunosuppressive-2abd8y9vqa.pdf

Fatemeh Heshmati Nabavi

Papers

Systematic Review: Process of Forming Academic Service Partnerships to Reform Clinical Education

Directed qualitative content analysis: the description and elaboration of its underpinning methods and data analysis process

Clinical Supervision System: A Method for Improving Educational Performance of Nursing Personnel

Mutual benefits in academic-service partnership: An integrative review.

Factors Associated With Adherence To Immunosuppressive Therapy And Barriers In Asian Kidney Transplant Recipients.