In these clinical studies8-10,22-23, differences in failure rates and contradictory results are noteworthy. Thus, direct comparison between studies testing identical materials should be interpreted with caution, as there is no standardized protocol for clinical studies. 24 In in vivo studies, socioeconomic and dental status of patients, and malocclusion classification and resultant mechanotherapy may affect the outcomes. Furthermore, masticatory forces varying with facial type, culturally influenced dietary habits, and sex differences may also influence the results. 4 The bond failure rate of green gloo found 5.00 % at the end of 24 months.
Some of these differences in access to healthcare in the country are discussed below. The first difference is the inequality in the quality of medical services that are offered. Such variations in services means that certain individuals can access better healthcare services whereas others have access to only low-quality services. An example is that minority groups are more likely to be diagnosed with late-stage cancers than whites. This is evidence that they are offered lower quality care.
From each village, samples were recruited by using random number table. The tool used for the study was Section A: Demographic data consists of 16 items. It includes age, education, occupation, monthly family income, marital status, type of family, religion, the number of children, type of food, family history of the medical/surgical problem, previous hospitalization, health checkup, surgical history, years since menopause, type of menopause and source of health information. Section B: Modified Kupperman index devised by Kupperman and Blatt. It includes 13 items as Hot flush/sweating, paresthesias (numbness, tingling sensation and temperature changes), insomnia, nervousness, melancholia, weakness/fatigue, myalgia/arthralgia, headache, palpitations, formication,
Stephen Bailey questions the article, “Does Grief Vary by Age, as well as by Culture?” by asking the authors if it is helpful to distinguish between mourning as a sociological concept and grieving as a psychological concept. Paul T. Clements, one of the authors, replied and explained mourning as a social procedure, yet it is so naturally interlaced with grieving that to try and separate the two is not a simple undertaking, nor is it useful for researchers or clinicians. Paul Clements thinks this is brilliantly reflected in the term psychosocial nursing, on the grounds that paying little mind to whether youngsters and their families are grieving or mourning. What makes a difference most to them is the way they feel and the ways the procedure influences their everyday lives. Not discussing the demise does not make it go away.
They are concerned with the health behavior aspects through which non-diabetic and diabetic African Americans can apply to counter diabetes within their communities. Furthermore, as Dehghani-Fafti et al. (2012) and Tougas et al. (2015) illustrated both theories focus on self-regulation as effective diabetic care. They explore the impact of health behaviors and self-efficacy ability of diabetic patients to take action towards preventing or eliminating the disease.
Annotated Bibliography Domanico, R., Davis, DK., Coleman, F., & Davis, BO. (2011). Documenting the nicu design dilemma: comparative patient progress in open-ward and single family room units. Journal of Perinatology, 31, 281-288. doi: 10.1038/jp.2010.120. This study compared the environmental factors in an open ward and compared the results to those collected in the single-family rooms (SFRs).
Health care disparity according to U.S National Library of Medicine (2017) “typically refers to differences between groups in health insurance coverage, access to and use of care, and quality of care”. The purpose of this research was to identify the different factors that prevent San Bernardino County residents from accessing quality healthcare and identify specific groups affected. Our research has concluded , social economics status, gender, race and ethnicity to be major factors in San Bernardino County that have created these healthcare disparities. According to the Kaiser Permanente Community Health Needs Assessment San Bernardino County (CHNA 2013 ) the impact of economic instability, unemployment, homelessness and transportation,
Aims The aim of this study was to apply Bandura social learning theory in a model for identifying personal and environmental factors that predict health-promoting self-care behaviors in people with pre-diabetes. Background The theoretical basis of health-promoting self-care behaviors must be examined to obtain evidence-based knowledge that can help improve the effectiveness of pre-diabetes care. However, such behaviors are rarely studied in people with pre-diabetes. Methods This quantitative, cross-sectional survey study was performed in a convenience sample of two hospitals in southern Taiwan. Two hundred people diagnosed with pre-diabetes at a single health examination center were recruited.
The Health Field Model The Health Field Model (HFM) is the conceptual framework that is used by different health care organizations or in individual research projects to evaluate the prevalence, awareness and management of diseases in the community (Pittman, 2010). The HFM, a determinant health model is developed by Bob Evans and Greg Stoddart in 1990. The HFM provides a broad spectrum for understanding health, and the factors that interfere with, and influence the health of individuals in the community. There are features to put into consideration for, in determining the factors that affect many diseases; hypertension, diabetes, and heart disease, or influence of health on a community (Kindig & McGinnis, 2007). According to Evans and Stoddart (1990), grouped
The legislative body (1991) asked the IOM to appraise the degree of ethnic and racial inequality in the health care considering the elements assuring the social status and their capability to afford the care, recognizing the resources of theses discrepancies and propose the recommendation strategies. The IOM committee fulfilled this demand and reviewed approximately hundred studies that help in the evaluation of quality health care services for different minority groups. Some of the studies that employ that more precise research plans perusing patient’s perspective while using the clinical data extracted from patients visual aid. In addition to it, a vast number of published research studies conclude that minorities receive fewer services than the white, counting the clinical measures. In common this study reveals
provides a view of a field that embraces the paradigm shift that focuses on the health and health care away from the white majority and towards the diverse experiences of racial and ethnic minorities. Of particular the author talks about the complexities of health disparities from preventing chronic conditions in minority population including both domestic and international perspectives. The author further refers to social policy and the role of race and ethnicity in health research, social factors contributing to mortality, longevity and life expectancy, quantitative and demographic analysis and access and utilization of health services. LaVeist’s intended audience is undergraduate and graduate student but a wider audience exists such as community
Health Care Disparities Health care disparities are unfortunate and being culturally competent is an essential step toward eliminating these inequalities. In this discussion, I will review what disparities are associated with the Appalachian culture and how they affect health status, employment, and education. I will also identify two nursing interventions that could be taken to help decrease the affect that health disparities have on the Appalachians and review what the biggest challenge would be when implementing the interventions. There are about 27 million people that live in the area defined as the Appalachian region, which spans 13 states.
Sensing data is extracted from smart home database and transformed for the analysis and decision making. In this paper, we develop an EM-based inspection service middleware for monitoring elderly wellness status based on time, situation and zone transition. This inspection service middleware for the prediction of abnormal health status has three steps as follows; monitoring, Index assessment, risk assessment and decision-making. The index assessment step used fuzzy logic, the risk assessment step uses the decision-tree model for the
It is defined as а standard group of criteria to recognize if the person has а disease or not. Standardized case definitions information will be used to compare the University of Chicago Medicine with other facilities (benchmarking), to monitor the infection rate over time, and to evaluate the effectiveness of the Clostridium difficile prevention strategies. There are two national Clostridium difficile surveillance that is used in acute care setting, the National Health Safety Network (NHSN), а division from the Center for Disease Control and Prevention (CDC), and the Clinical Practice Guidelines from the Infectious Disease Society of America (IDSA) and the Society for Healthcare Epidemiology of America (SHEA). The University of Chicago Medicine will use the NHSN for national comparison (benchmarking). In case of plan failure, the University of Chicago Medicine will repeat the same steps of plan objectives as а plan B and auditing each step to make sure that plan is applied
Wouldn’t it be nice to see health disparities or racism eliminated from populations? Wouldn’t that be something to behold? In 1999, the CDC initiated the Racial and Ethnic Approaches to Community Health (REACH) program to reduce the health disparities that exist between racial and ethnic cohorts.1 From 2009 to 2012, REACH programs have shown improvement from past funded programs;1 yet, only a few governmental and nongovernmental agencies are taking advantage of it. In 2006, the Robert Wood Johnson Foundation provided funding for interventions to reduce racial and ethnic disparities and improving health care services in minority communities, because evidence-based research data show patients of specific racial and ethnic cohorts often receive