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An evaluation of the short-term impacts of a patient-centered computerized self-monitoring system among patients with type 2 diabetes and hypertensionTao, Da, 陶达 January 2014 (has links)
Consumer health information technologies (CHITs) are emerging as promising tools for delivering healthcare services and facilitating patient self-management of chronic diseases; however, the use of the CHITs is largely constrained by usability problems and unclear evidence on the effectiveness of the technologies. The ergonomics research team of The University of Hong Kong developed a patient-centered computerized self-monitoring system that appeared to be useful and easy to use; with the system, this thesis focuses on the examination of the short-term impacts of the technology on patient outcomes for diabetic and hypertensive patients.
The self-monitoring technology was designed using user-centered approaches and relevant human factors principles. Iterative usability evaluations were conducted to assess and improve the usability of the technology with 97 chronically ill patients. Also, using data from a larger randomized controlled trial (RCT) of technology-based disease self-management to improve patients’ outcomes, this thesis compared the short-term effects of the use of a computerized self-monitoring system to usual care using 63 patients with type 2 diabetes and hypertension for four weeks. Thirty-three patients were randomized into intervention group, whose disease care was supported by the self-monitoring system, while 30 patients into control group, who continued with their usual care. A pretest-posttest repeated measures design was employed to determine the effects of the technology on clinical, psychosocial, behavioral, usage, and technology perception outcomes over time. Measurements were obtained at baseline, and after 2 and 4 weeks.
The iterative usability studies improved and verified the usability of the self-monitoring system for chronically ill patients. Results from the RCT showed that after four weeks, there were significant decreases in systolic blood pressure (p < 0.001) and diastolic blood pressure (p < 0.001), self-efficacy for managing chronic disease (p = 0.001), and adherence to treatment (p = 0.001) in the intervention group compared with the control group. Significant differences in favor of intervention group after four weeks were also documented for changes of several quality of life subscales (i.e., general health (p = 0.010), role physical (p = 0.001), role emotional (p = 0.002), bodily pain (p = 0.050), and physical component summary score (p = 0.005)), and perceived ease of use (p = 0.007). No significant difference was found between groups for fasting blood glucose (p = 0.687), perceived usefulness (p = 0.661), frequency of self-monitoring of blood pressure (p = 0.230) and self-monitoring of blood glucose (p = 0.993), and several other quality of life subscales over time.
The usability evaluation presented in this thesis report demonstrated that the method was effective and efficient in identifying potential usability problems at the early stage of system development for CHITs. The findings from the RCT indicated that the use of the human factored-engineered self-monitoring technology had short-term effectiveness in improving blood pressure control, self-efficacy for managing chronic disease, adherence to treatment, and quality of life for patients with type 2 diabetes and hypertension. A human factored-engineered self-management technology appears to be an effective tool in patient self-management of chronic diseases. / published_or_final_version / Industrial and Manufacturing Systems Engineering / Doctoral / Doctor of Philosophy
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Predictors and trends of adherence to blood pressure self-monitoring among hypertensive type II diabetic patients /Saunders, Allison Jean. January 2007 (has links)
Thesis (M.A.)--York University, 2007. Graduate Programme in Psychology. / Typescript. Includes bibliographical references (leaves 91-106). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR32021
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The effects of self-monitoring psychological states on behavioral weight management treatmentJefferson, Monica Louise, January 2005 (has links)
Thesis (Ph. D.)--Ohio State University, 2005. / Title from first page of PDF file. Document formatted into pages; contains xii, 100 p.; also includes graphics. Includes bibliographical references (p. 50-55). Available online via OhioLINK's ETD Center
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Assessing the potential of a diabetes self-management technology intervention for underserved adultsHeitkemper, Elizabeth Mary January 2017 (has links)
The dissertation aims to examine the potential for diabetes self-management education (DSME) technology interventions to be used by underserved adults in routine clinical practice and issues regarding its use that may be unique to this population. In Chapter One, the problems of providing sufficient access and appropriate DSME to underserved adults with type 2 diabetes mellitus (T2DM) is introduced and their significance is described. In Chapter Two, a systematic review of the literature and meta-analysis synthesizes data from 3,257 subjects that participated in 13 randomized controlled trials that examined the effect of health information technology (HIT) DSME interventions on glycemic control in medically underserved adults. Chapter Three presents the general and technology-related characteristics of the urban, underserved sample of adults with type 2 diabetes mellitus from eight federally qualified health centers who participated in the Mobile Diabetes Detective (MoDD) randomized controlled trial. It also describes the technology training required to support use and engagement during the MoDD intervention period. In Chapter Four, the potential for broad dissemination of a novel HIT DSME intervention, MoDD, into everyday clinical practice is examined using the RE-AIM framework (Reach, Effectiveness, Adoption, Implementation and Maintenance). In Chapter Five the findings of these studies are summarized and the overarching conclusions are presented, which include the strengths, limitations and implications for practice, policy and future.
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Knowledge, attitues and experiences of clients regarding voluntary counselling and testing at Mankweng primary health care facilities Capricorn District Limpopo ProvinceRamoraswi, Manku Magdeline January 2009 (has links)
Thesis (MPH.) --University of Limpopo, 2009 / Please refer to the document
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Knowledge and adherence to self-care behaviors in patients with heart failurePettibone, Jennifer. January 2009 (has links)
Thesis (M.A.)--Northern Kentucky University, 2009. / Made available through ProQuest. Publication number: AAT 1469874. ProQuest document ID: 1907259931. Includes bibliographical references (p. 39-41)
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Effectiveness of self-monitoring of negative self-statements with chronic pain patientsBabson, Lisabeth Jean Currier, January 2007 (has links)
Thesis (Ph. D.)--Ohio State University, 2007. / Title from first page of PDF file. Includes bibliographical references (p. 96-106).
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Epilepsy Self-Management in Older Adults: A Qualitative StudyMiller, Wendy Renee 19 March 2012 (has links)
Indiana University-Purdue University Indianapolis (IUPUI) / Epilepsy is the most common chronic neurological condition in the United States, and it is incurable. Those who suffer from it must engage in both collaborative and independent management of their condition for the remainder of their lives. The treatment and care of those with epilepsy must therefore include not only medical interventions, which alone cannot cure the disorder or prevent the disability associated with it, but must also prepare persons for and facilitate their independent
management—self-management—of the disorder. Self-management is a process that affects important outcomes including resource utilization, mortality, and quality of life. In the United States, those age 60 years and older have the highest incidence of new-onset epilepsy. Despite the high incidence of epilepsy in this population, coupled with the knowledge that self-management affects important outcomes, a thorough search of the literature suggests that self-management experiences of older adults diagnosed with epilepsy late in life have not been investigated.
The purpose of the study was to examine, using a qualitative descriptive design, the self-management experiences of older adults diagnosed with epilepsy at or after age 60. Semi-structured interviews were used to generate data. A total of 20 older adults participated. Major findings indicate that older adults in the sample, and particularly the women, experienced a delay in receiving an epilepsy diagnosis. These older adults experienced multiple problems and life changes since diagnosis—some of which are unique to this population and many of which are amenable to intervention. These older adults devise and execute a variety of management strategies, within a system, that are classified as disease/treatment-focused and problem/life changes-focused. These strategies further are categorized as proactive or reactive, with proactive strategies being pre-planned and effective, and reactive strategies being unplanned and less effective. Knowledge generated from this study reveals the problems experienced by older adults with epilepsy, as well as their management needs. These findings will inform future studies, the aim of which will be to investigate more thoroughly these problems and needs and, ultimately, to inform interventions aimed at resolving this population’s problems and concerns while also improving outcomes.
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Predictive modeling for wellnessUnknown Date (has links)
Wellness and healthy life are the most common concerns for an individual to lead a happy life. A web-based approach known as Wellness Scoring is being developed taking into people’s concerns for their health issues. In this approach, four different classifiers are being investigated to predict the wellness. In this thesis, we investigated four different classifiers (a probabilistic graphical model, simple probabilistic classifier, probabilistic statistical classification and an artificial neural network) to predict the wellness outcome. An approach to calculate wellness score is also addressed. All these classifiers are trained on real data, hence giving more accurate results. With this solution, there is a better way of keeping track of an individuals’ health. In this thesis, we present the design and development of such a system and evaluate the performance of the classifiers and design considerations to maximize the end user experience with the application. A user experience model capable of predicting the wellness score for a given set of risk factors is developed. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2014. / FAU Electronic Theses and Dissertations Collection
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Health beliefs, attitude, psychological factors and self management practices of out-patients with chronic non-insulin dependent diabetes in the Northern Province of South AfricaBopape, Mantwa Welhemina January 2000 (has links)
Thesis (M.A. (Psychology)) -- University of Limpopo, 2000 / Refer to document
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