4 resultados para Treatment goals

em DigitalCommons@The Texas Medical Center


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Background. Colorectal cancer (CRC) survivors have to manage treatment side effects, psychosocial issues, and co-morbidities, as well as modify their lifestyles to decrease risk of recurrence and prolong life. Identifying survivors’ goals and key factors that influence their goals will highlight the issues cancer survivors face post-treatment and the resources needed to help them engage in health-promoting behaviors.^ Objectives and methods. This dissertation examines the health-related goals of post-treatment CRC survivors using two studies: (1) a qualitative study to identify and describe the health goals of CRC survivors during the transition from active treatment to post-treatment survivorship and follow-up care; and (2) a cross-sectional survey to identify CRC survivors’ goals, and key factors that influence their goals.^ Results. (1) The 41 qualitative interviews indicated participants’ health-related goals were to be healthy, get back to normal, and not have a cancer recurrence. Most of the CRC survivors reported they maintained healthy behaviors, made healthy behavior changes, or had goals to change their behavior. Respondents were empowered to improve their health by maintaining follow-up care and regular health screenings, and many were managing treatment side effects in an effort to improve functional abilities. (2) The cross-sectional study found that CRC survivors’ most prevalent goals were related to healthy behaviors (i.e., eat a healthy diet and engage in physical activity), and cancer care or disease management (i.e., keep up with health screenings and monitor symptoms). Goals that survivors identified as important were similar to goals they perceived were important to their providers (i.e., goals related to cancer care, disease management). Certain goals were statistically associated with age, barriers to achieving goals, social support and health-related quality of life.^ Conclusions. CRC survivors have health-promoting goals post-treatment and are interested in making health behavior changes. Goals ranged from cancer care/surveillance and disease management to healthy lifestyle modifications. Patients may need help resolving or managing treatment side effects or co-morbidities prior to implementing health promoting behaviors. Healthcare providers’ recommendations may be a powerful resource to encourage survivors to engage in health-promoting behaviors. Self-management and goal setting support could be an appropriate strategy to assist patients with achieving their post-treatment health goals.^

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Background. Diabetes places a significant burden on the health care system. Reduction in blood glucose levels (HbA1c) reduces the risk of complications; however, little is known about the impact of disease management programs on medical costs for patients with diabetes. In 2001, economic costs associated with diabetes totaled $100 billion, and indirect costs totaled $54 billion. ^ Objective. To compare outcomes of nurse case management by treatment algorithms with conventional primary care for glycemic control and cardiovascular risk factors in type 2 diabetic patients in a low-income Mexican American community-based setting, and to compare the cost effectiveness of the two programs. Patient compliance was also assessed. ^ Research design and methods. An observational group-comparison to evaluate a treatment intervention for type 2 diabetes management was implemented at three out-patient health facilities in San Antonio, Texas. All eligible type 2 diabetic patients attending the clinics during 1994–1996 became part of the study. Data were obtained from the study database, medical records, hospital accounting, and pharmacy cost lists, and entered into a computerized database. Three groups were compared: a Community Clinic Nurse Case Manager (CC-TA) following treatment algorithms, a University Clinic Nurse Case Manager (UC-TA) following treatment algorithms, and Primary Care Physicians (PCP) following conventional care practices at a Family Practice Clinic. The algorithms provided a disease management model specifically for hyperglycemia, dyslipidemia, hypertension, and microalbuminuria that progressively moved the patient toward ideal goals through adjustments in medication, self-monitoring of blood glucose, meal planning, and reinforcement of diet and exercise. Cost effectiveness of hemoglobin AI, final endpoints was compared. ^ Results. There were 358 patients analyzed: 106 patients in CC-TA, 170 patients in UC-TA, and 82 patients in PCP groups. Change in hemoglobin A1c (HbA1c) was the primary outcome measured. HbA1c results were presented at baseline, 6 and 12 months for CC-TA (10.4%, 7.1%, 7.3%), UC-TA (10.5%, 7.1%, 7.2%), and PCP (10.0%, 8.5%, 8.7%). Mean patient compliance was 81%. Levels of cost effectiveness were significantly different between clinics. ^ Conclusion. Nurse case management with treatment algorithms significantly improved glycemic control in patients with type 2 diabetes, and was more cost effective. ^

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Child overweight and obesity reaches across ethnic, cultural, socioeconomic and regional barriers. It must be assessed, diagnosed and treated to help families make sustainable behavior changes. Treatment recommendations have been made to address pediatric overweight and obesity. They include screening for risk factors, monitoring BMI trends and educating patients and families to make small sustainable changes. Health insurance companies can play a meaningful role in supporting and facilitating provider education and behavior change to diagnose, treat and prevent pediatric overweight and obesity.^ The aims of this thesis were: (1) Describe a disease management program that uses evidence-based practices to create provider behavior change related to pediatric obesity screening, diagnosis and treatment. (2) Identify ways to improve the implementation of the program based on the perceptions of participating clinicians.^ A literature review was completed to evaluate current recommendations for screening and treating pediatric obesity using the Ovid data base. The evidenced-based recommendations were compared against the practices of the Healthy Lifestyles Program (HeLP). The literature confirmed that HeLP is following evidence-based recommendations for assessment, diagnosis and treatment of pediatric obesity.^ A Children’s Mercy Family Health Partners focus group was convened to create a provider survey. The goals of the survey were to assess providers’ perception of the Healthy Lifestyles Program (HeLP). The survey was sent out through email using Survey Monkey. All survey responses were anonymous. The survey was sent to a total of 80 providers who had completed HeLP. Twenty-five percent responded. The survey results were evaluated to make recommendations for HeLP.^ Results of the survey included motivating factors for participation in HeLP. Concern about the increasing prevalence of pediatric obesity was a frequent motivator for participation. Provider barriers to obesity diagnosis were evaluated. Lack of time during clinic visits a frequent barrier to obesity diagnosis. ^ In conclusion several recommendations for the HeLP were made based on survey results. It is recommended that the program evaluate methods and tools for facilitating effective weight management follow up visits. Promotional materials should highlight the increasing prevalence of pediatric obesity when advertising HeLP. These recommendations will be used to refine the current Healthy Lifestyles Program.^

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Radiation therapy has been used as an effective treatment for malignancies in pediatric patients. However, in many cases, the side effects of radiation diminish these patients’ quality of life. In order to develop strategies to minimize radiogenic complications, one must first quantitatively estimate pediatric patients’ relative risk for radiogenic late effects, which has not become feasible till recently because of the calculational complexity. The goals of this work were to calculate the dose delivered to tissues and organs in pediatric patients during contemporary photon and proton radiotherapies; to estimate the corresponding risk of radiogenic second cancer and cardiac toxicity based on the calculated doses and on dose-risk models from the literature; to test for the statistical significance of the difference between predicted risks after photon versus proton radiotherapies; and to provide a prototype of an evidence-based approach to selecting treatment modalities for pediatric patients, taking second cancer and cardiac toxicity into account. The results showed that proton therapy confers a lower predicted risk of radiogenic second cancer, and lower risks of radiogenic cardiac toxicities, compared to photon therapy. An uncertainty analysis revealed that the qualitative findings of this study are insensitive to changes in a wide variety of host and treatment related factors.