AIM: To assess the effectiveness of the Chronic Disease Self-Management Program(CDSMP) on glycated hemoglobin A1c(HbA1c) and selected self-reported measures.METHODS: We compared patients who received a diabetes self-c...AIM: To assess the effectiveness of the Chronic Disease Self-Management Program(CDSMP) on glycated hemoglobin A1c(HbA1c) and selected self-reported measures.METHODS: We compared patients who received a diabetes self-care behavioral intervention, the CDSMP developed at the Stanford University, with controls whoreceived usual care on their HbA1c and selected self-reported measures, including diabetes self-care activities, health-related quality of life(HRQOL), pain and fatigue. The subjects were a subset of participants enrolled in a randomized controlled trial that took place at seven regional clinics of a university-affiliated integrated healthcare system of a multi-specialty group practice between January 2009 and June 2011. The primary outcome was change in HbA1c from randomization to 12 mo. Data were analyzed using multilevel statistical models and linear mixed models to provide unbiased estimates of intervention effects.RESULTS: Demographic and baseline clinical characteristics were generally comparable between the two groups. The average baseline HbA1c values in the CDSMP and control groups were 9.4% and 9.2%, respectively. Significant reductions in HbA1c were seen at 12 mo for the two groups, with adjusted changes around 0.6%(P < 0.0001), but the reductions did not differ significantly between the two groups(P = 0.885). Few significant differences were observed in participants' diabetes self-care activities. No significant differences were observed in the participants' HRQOL, pain, or fatigue measures.CONCLUSION: The CDSMP intervention may not lower HbA1c any better than good routine care in an integrated healthcare system. More research is needed to understand the benefits of self-management programs in primary care in different settings and populations.展开更多
In this practicum, the program objective is to improve the health of Joseph’s Storehouse food bank recipients’ community in the Blessing Center (New Hope Free Clinic and Joseph’s food bank), Redlands, California. T...In this practicum, the program objective is to improve the health of Joseph’s Storehouse food bank recipients’ community in the Blessing Center (New Hope Free Clinic and Joseph’s food bank), Redlands, California. The approach is to implement primary prevention and secondary prevention activity to increase knowledge and skills of the clients and their families of how to prevent and control type 2 diabetes through a wellness program in the clinic. The practicum began January 2015 and ended April 2015. 53 food bank recipients (non-diabetic and diabetic) were recruited. A quasi-experimental study design, pre-test/posttest, was used for the study. The impact of the program targeted diverse audience, high risk ethnic groups, and improved knowledge, awareness, management, and positive behavioral change. The study implication for public health promotion specialists is to narrow venues targeting the most vulnerable populations to promote and reduce type 2 diabetes.展开更多
This study considers several computational techniques for solving one formulation of the wells placement problem (WPP). Usually the wells placement problem is tackled through the combined efforts of many teams using c...This study considers several computational techniques for solving one formulation of the wells placement problem (WPP). Usually the wells placement problem is tackled through the combined efforts of many teams using conventional approaches, which include gathering seismic data, conducting real-time surveys, and performing production interpretations in order to define the sweet spots. This work considers one formulation of the wells placement problem in heterogeneous reservoirs with constraints on inter-well spacing. The performance of three different types of algorithms for optimizing the well placement problem is compared. These three techniques are: genetic algorithm, simulated annealing, and mixed integer programming (IP). Example case studies show that integer programming is the best approach in terms of reaching the global optimum. However, in many cases, the other approaches can often reach a close to optimal solution with much more computational efficiency.展开更多
The Wells Placement Problem (WPP) consists in choosing well locations within an oil reservoir grid to maximize the reservoir total oil production, subject to distance threshold between wells and number of wells cap co...The Wells Placement Problem (WPP) consists in choosing well locations within an oil reservoir grid to maximize the reservoir total oil production, subject to distance threshold between wells and number of wells cap constraints. A popular approach to WPP is Genetic Algorithms (GA). Alternatively, WPP has been approached in the literature through Mathematical Optimization. Here, we conduct a computational study of both methods and compare their solutions and performance. Our results indicate that, while GA can provide near-optimal solutions to instances of WPP, typically Mathematical Optimization provides better solutions within less computational time.展开更多
An improved dynamic programming algorithm is proposed for reducing the possible mismatching of layer in multi-well correlation. Compared with the standard dynamic programming algorithm, this method restricts the searc...An improved dynamic programming algorithm is proposed for reducing the possible mismatching of layer in multi-well correlation. Compared with the standard dynamic programming algorithm, this method restricts the searching range during layer matching. It can not only avoid possible mismatching between sample and target layer, but also reduce the time spent on layer correlation. The result of applying the improved methods on the data processed by standard method before indicates that the improved one is more effective and timesaving for the multi-well correlation system than conventional dynamic programming algorithm.展开更多
Adolescence represents a sensitive time period during an individual’s development during which physical, psychological, and social risk factors for non-communicable diseases are established. As such, there is a neces...Adolescence represents a sensitive time period during an individual’s development during which physical, psychological, and social risk factors for non-communicable diseases are established. As such, there is a necessity to engage adolescents in planning and decision-making processes that will affect their future health. This paper describes the need for more innovative and transversal actions, starting from the utility of a multidisciplinary and systemic approach to health. One way in which this can be achieved is by shifting adolescent health programs (AHPs) from a clinically oriented to an education-based model. In particular, AHPs need to consider a personalized and systemic approach to the well-being of adolescents in order to potentiate their strengths and improve weaknesses, enhancing self-esteem, empowerment, and resilience. This is in line with the complexity of human physiology and psychology, as well as scientific evidence showing that several factors significantly influence health status including lifestyle, social context, emotional experiences, and cognitive skills, as demonstrated by the AVATAR Project (“A new purpose for promotion and eVAluation of healTh and well-being Among healthy teenageRs”). This project—which provides a new framework for AHPs—was carried out in Italy and enrolled healthy students as subjects, and aimed to promote well-being in adolescents using a systemic and multistake-holder approach that involved creating a network composed of the different figures and environments around adolescents and moving toward a more school-based and student-centered approach to adolescent health education.展开更多
基金Supported by The National Institutes of Health’s National Institute on Minority Health and Health Disparities,No.#1P20MD002295
文摘AIM: To assess the effectiveness of the Chronic Disease Self-Management Program(CDSMP) on glycated hemoglobin A1c(HbA1c) and selected self-reported measures.METHODS: We compared patients who received a diabetes self-care behavioral intervention, the CDSMP developed at the Stanford University, with controls whoreceived usual care on their HbA1c and selected self-reported measures, including diabetes self-care activities, health-related quality of life(HRQOL), pain and fatigue. The subjects were a subset of participants enrolled in a randomized controlled trial that took place at seven regional clinics of a university-affiliated integrated healthcare system of a multi-specialty group practice between January 2009 and June 2011. The primary outcome was change in HbA1c from randomization to 12 mo. Data were analyzed using multilevel statistical models and linear mixed models to provide unbiased estimates of intervention effects.RESULTS: Demographic and baseline clinical characteristics were generally comparable between the two groups. The average baseline HbA1c values in the CDSMP and control groups were 9.4% and 9.2%, respectively. Significant reductions in HbA1c were seen at 12 mo for the two groups, with adjusted changes around 0.6%(P < 0.0001), but the reductions did not differ significantly between the two groups(P = 0.885). Few significant differences were observed in participants' diabetes self-care activities. No significant differences were observed in the participants' HRQOL, pain, or fatigue measures.CONCLUSION: The CDSMP intervention may not lower HbA1c any better than good routine care in an integrated healthcare system. More research is needed to understand the benefits of self-management programs in primary care in different settings and populations.
文摘In this practicum, the program objective is to improve the health of Joseph’s Storehouse food bank recipients’ community in the Blessing Center (New Hope Free Clinic and Joseph’s food bank), Redlands, California. The approach is to implement primary prevention and secondary prevention activity to increase knowledge and skills of the clients and their families of how to prevent and control type 2 diabetes through a wellness program in the clinic. The practicum began January 2015 and ended April 2015. 53 food bank recipients (non-diabetic and diabetic) were recruited. A quasi-experimental study design, pre-test/posttest, was used for the study. The impact of the program targeted diverse audience, high risk ethnic groups, and improved knowledge, awareness, management, and positive behavioral change. The study implication for public health promotion specialists is to narrow venues targeting the most vulnerable populations to promote and reduce type 2 diabetes.
文摘This study considers several computational techniques for solving one formulation of the wells placement problem (WPP). Usually the wells placement problem is tackled through the combined efforts of many teams using conventional approaches, which include gathering seismic data, conducting real-time surveys, and performing production interpretations in order to define the sweet spots. This work considers one formulation of the wells placement problem in heterogeneous reservoirs with constraints on inter-well spacing. The performance of three different types of algorithms for optimizing the well placement problem is compared. These three techniques are: genetic algorithm, simulated annealing, and mixed integer programming (IP). Example case studies show that integer programming is the best approach in terms of reaching the global optimum. However, in many cases, the other approaches can often reach a close to optimal solution with much more computational efficiency.
文摘The Wells Placement Problem (WPP) consists in choosing well locations within an oil reservoir grid to maximize the reservoir total oil production, subject to distance threshold between wells and number of wells cap constraints. A popular approach to WPP is Genetic Algorithms (GA). Alternatively, WPP has been approached in the literature through Mathematical Optimization. Here, we conduct a computational study of both methods and compare their solutions and performance. Our results indicate that, while GA can provide near-optimal solutions to instances of WPP, typically Mathematical Optimization provides better solutions within less computational time.
文摘An improved dynamic programming algorithm is proposed for reducing the possible mismatching of layer in multi-well correlation. Compared with the standard dynamic programming algorithm, this method restricts the searching range during layer matching. It can not only avoid possible mismatching between sample and target layer, but also reduce the time spent on layer correlation. The result of applying the improved methods on the data processed by standard method before indicates that the improved one is more effective and timesaving for the multi-well correlation system than conventional dynamic programming algorithm.
文摘Adolescence represents a sensitive time period during an individual’s development during which physical, psychological, and social risk factors for non-communicable diseases are established. As such, there is a necessity to engage adolescents in planning and decision-making processes that will affect their future health. This paper describes the need for more innovative and transversal actions, starting from the utility of a multidisciplinary and systemic approach to health. One way in which this can be achieved is by shifting adolescent health programs (AHPs) from a clinically oriented to an education-based model. In particular, AHPs need to consider a personalized and systemic approach to the well-being of adolescents in order to potentiate their strengths and improve weaknesses, enhancing self-esteem, empowerment, and resilience. This is in line with the complexity of human physiology and psychology, as well as scientific evidence showing that several factors significantly influence health status including lifestyle, social context, emotional experiences, and cognitive skills, as demonstrated by the AVATAR Project (“A new purpose for promotion and eVAluation of healTh and well-being Among healthy teenageRs”). This project—which provides a new framework for AHPs—was carried out in Italy and enrolled healthy students as subjects, and aimed to promote well-being in adolescents using a systemic and multistake-holder approach that involved creating a network composed of the different figures and environments around adolescents and moving toward a more school-based and student-centered approach to adolescent health education.
