Matching Items (4)
Filtering by
- All Subjects: Patient education
- All Subjects: Screening
- Creators: Thrall, Charlotte
- Status: Published
Description
Purpose: The purpose of this evidence-based practice project was to improve participation by increasing registration on to a medical patient portal to an uninsured population. Medical patient portals have the potential to provide patients with timely, transparent access to health care information and engage them in their health care process and management. This may result in improved disease management outcomes.
Methods: This project was guided by a The Rosswurm and Larrabee Model for Change to Evidence- Based Practice and Pender’s health promotion framework. IRB Approved by ASU. The instruction was implemented at an urban clinic in downtown phoenix that serves uninsured and underserved individuals. Uninsured participants were recruited (n=50). A survey pre and post registration was conducted to assess knowledge and medical portal participation in addition a random pre and post chart review was performed.
Results: Descriptive statistics was used to describe sample and outcome variables. A chi-square test of independence was calculated comparing pre and post intervention significant change was found (χ2 (1) = .002, P<0.05.), a paired sample t test was calculated to compare knowledge pre and post registration instruction the mean pre-10.187(SD = 4.422), post mean was 16.958(SD=.856). A significant increase of knowledge was found (t (47) =-9.573, p (<.001).
Outcomes: In this population both patients and providers have seen significant benefits such as increased communication and patient participation, from the implementation of evidence based educational tools such as instruction with teach back, and the usage of brochures. Potential Implication for sustainability includes the lack of a designated individual that is bilingual to register patients, making patients aware of the existence of a medical patient portal, patient’s fear of sharing immigration status.
Methods: This project was guided by a The Rosswurm and Larrabee Model for Change to Evidence- Based Practice and Pender’s health promotion framework. IRB Approved by ASU. The instruction was implemented at an urban clinic in downtown phoenix that serves uninsured and underserved individuals. Uninsured participants were recruited (n=50). A survey pre and post registration was conducted to assess knowledge and medical portal participation in addition a random pre and post chart review was performed.
Results: Descriptive statistics was used to describe sample and outcome variables. A chi-square test of independence was calculated comparing pre and post intervention significant change was found (χ2 (1) = .002, P<0.05.), a paired sample t test was calculated to compare knowledge pre and post registration instruction the mean pre-10.187(SD = 4.422), post mean was 16.958(SD=.856). A significant increase of knowledge was found (t (47) =-9.573, p (<.001).
Outcomes: In this population both patients and providers have seen significant benefits such as increased communication and patient participation, from the implementation of evidence based educational tools such as instruction with teach back, and the usage of brochures. Potential Implication for sustainability includes the lack of a designated individual that is bilingual to register patients, making patients aware of the existence of a medical patient portal, patient’s fear of sharing immigration status.
ContributorsAlvarado, Cecilia I. (Author) / Thrall, Charlotte (Thesis advisor)
Created2019-05-03
Description
Complex systems are pervasive in science and engineering. Some examples include complex engineered networks such as the internet, the power grid, and transportation networks. The complexity of such systems arises not just from their size, but also from their structure, operation (including control and management), evolution over time, and that people are involved in their design and operation. Our understanding of such systems is limited because their behaviour cannot be characterized using traditional techniques of modelling and analysis.
As a step in model development, statistically designed screening experiments may be used to identify the main effects and interactions most significant on a response of a system. However, traditional approaches for screening are ineffective for complex systems because of the size of the experimental design. Consequently, the factors considered are often restricted, but this automatically restricts the interactions that may be identified as well. Alternatively, the designs are restricted to only identify main effects, but this then fails to consider any possible interactions of the factors.
To address this problem, a specific combinatorial design termed a locating array is proposed as a screening design for complex systems. Locating arrays exhibit logarithmic growth in the number of factors because their focus is on identification rather than on measurement. This makes practical the consideration of an order of magnitude more factors in experimentation than traditional screening designs.
As a proof-of-concept, a locating array is applied to screen for main effects and low-order interactions on the response of average transport control protocol (TCP) throughput in a simulation model of a mobile ad hoc network (MANET). A MANET is a collection of mobile wireless nodes that self-organize without the aid of any centralized control or fixed infrastructure. The full-factorial design for the MANET considered is infeasible (with over 10^{43} design points) yet a locating array has only 421 design points.
In conjunction with the locating array, a ``heavy hitters'' algorithm is developed to identify the influential main effects and two-way interactions, correcting for the non-normal distribution of the average throughput, and uneven coverage of terms in the locating array. The significance of the identified main effects and interactions is validated independently using the statistical software JMP.
The statistical characteristics used to evaluate traditional screening designs are also applied to locating arrays.
These include the matrix of covariance, fraction of design space, and aliasing, among others. The results lend additional support to the use of locating arrays as screening designs.
The use of locating arrays as screening designs for complex engineered systems is promising as they yield useful models. This facilitates quantitative evaluation of architectures and protocols and contributes to our understanding of complex engineered networks.
As a step in model development, statistically designed screening experiments may be used to identify the main effects and interactions most significant on a response of a system. However, traditional approaches for screening are ineffective for complex systems because of the size of the experimental design. Consequently, the factors considered are often restricted, but this automatically restricts the interactions that may be identified as well. Alternatively, the designs are restricted to only identify main effects, but this then fails to consider any possible interactions of the factors.
To address this problem, a specific combinatorial design termed a locating array is proposed as a screening design for complex systems. Locating arrays exhibit logarithmic growth in the number of factors because their focus is on identification rather than on measurement. This makes practical the consideration of an order of magnitude more factors in experimentation than traditional screening designs.
As a proof-of-concept, a locating array is applied to screen for main effects and low-order interactions on the response of average transport control protocol (TCP) throughput in a simulation model of a mobile ad hoc network (MANET). A MANET is a collection of mobile wireless nodes that self-organize without the aid of any centralized control or fixed infrastructure. The full-factorial design for the MANET considered is infeasible (with over 10^{43} design points) yet a locating array has only 421 design points.
In conjunction with the locating array, a ``heavy hitters'' algorithm is developed to identify the influential main effects and two-way interactions, correcting for the non-normal distribution of the average throughput, and uneven coverage of terms in the locating array. The significance of the identified main effects and interactions is validated independently using the statistical software JMP.
The statistical characteristics used to evaluate traditional screening designs are also applied to locating arrays.
These include the matrix of covariance, fraction of design space, and aliasing, among others. The results lend additional support to the use of locating arrays as screening designs.
The use of locating arrays as screening designs for complex engineered systems is promising as they yield useful models. This facilitates quantitative evaluation of architectures and protocols and contributes to our understanding of complex engineered networks.
ContributorsAldaco-Gastelum, Abraham Netzahualcoyotl (Author) / Syrotiuk, Violet R. (Thesis advisor) / Colbourn, Charles J. (Committee member) / Sen, Arunabha (Committee member) / Montgomery, Douglas C. (Committee member) / Arizona State University (Publisher)
Created2015
Description
Homeless individuals encounter barriers such as lack of health insurance, increased cost of care and unavailability of resources. They have increased risk of comorbid physical disease and poor mental health. Depression is a prevalent mental health disorder in the US linked to increased risk of mortality. Literature suggests depression screening can identify high-risk individuals with using the patient health questionnaire (PHQ-9).
The objective of this project is to determine if screening identifies depression in the homeless and how it impacts healthcare access. Setting is a local organization in Phoenix offering shelter to homeless individuals. An evidence-based project was implemented over two months in 2019 using convenience sampling. Intervention included depression screening using the PHQ-9, referring to primary care and tracking appointment times. IRB approval obtained from Arizona State University, privacy discussed, and consent obtained prior to data collection. Participants were assigned a random number to protect privacy.
A chart audit tool was used to obtain sociodemographics and insurance status. Descriptive statistics used and analyzed using Intellectus. Sample size was (n = 18), age (M = 35) most were White-non-Hispanic, 44% had a high school diploma and 78% were insured. Mean score was 7.72, three were previously diagnosed and not referred. Three were referred with a turnaround appointment time of one, two and seven days respectively. No significant correlation found between age and depression severity. A significant correlation found between previous diagnosis and depression severity. Attention to PHQ-9 varied among providers and not always addressed. Future projects should focus on improving collaboration between this facility and providers, increasing screening and ensuring adequate follow up and treatment.
ContributorsParamo, Cinthia Arredondo (Author) / Thrall, Charlotte (Thesis advisor)
Created2020-05-04
Description
Purpose: Hispanics diagnosed with type 2 diabetes mellitus (DM) have poorer health outcomes than non-Hispanic whites. Approximately one- half of all Hispanic DM patients utilize community health clinics for their DM needs. Evidence suggests that using a culturally-tailored approach to DM education can uniquely improve health outcomes in this population. The purpose of this evidence-based practice (EBP) project was to improve glycemic control in a medically underserved Hispanic community through a culturally-tailored DM education program.
Methods: This quasi-experimental pre/post design project was guided by the ACE Star Model and Leininger’s Theory of Cultural Care. The affiliated University’s IRB approved this project. The Diabetes Empowerment Education Program (DEEP) was implemented in a free, community clinic in a medically underserved area. Spanish speaking patients (n = 15) with A1C levels
> 8mg/dl were recruited to participate in a 6-week group educational program facilitated by community health workers. Outcomes included A1C levels, weight, and two surveys from the Michigan Diabetes Research Center - DM knowledge test and the DM empowerment scale.
Results: Paired sample t-tests were used to analyze the outcomes. The participants had an average pre-A1C of 8.82 mg/dl with post-A1C of 8.01 mg/dl (p = .028). Pre-knowledge test scores averaged 9.40 with post-test average of 12.07 (p < .001). Empowerment scores increased from 4.09 to 4.63 (p = .001). The reduction between the average pre-and post-weight measures were not statistically significant (p = .681).
Discussion: The implementation of a culturally-tailored DM educational program in a medically underserved community had a significant impact on reducing A1C levels, improving DM knowledge, and enhancing empowerment levels. Although the sample size was small and limited to one clinic, applying these programs can have a measurable clinical impact in the treatment of Hispanic DM patients. Future research can further exam how to duplicate this project on a larger scale and over a sustained period.
Methods: This quasi-experimental pre/post design project was guided by the ACE Star Model and Leininger’s Theory of Cultural Care. The affiliated University’s IRB approved this project. The Diabetes Empowerment Education Program (DEEP) was implemented in a free, community clinic in a medically underserved area. Spanish speaking patients (n = 15) with A1C levels
> 8mg/dl were recruited to participate in a 6-week group educational program facilitated by community health workers. Outcomes included A1C levels, weight, and two surveys from the Michigan Diabetes Research Center - DM knowledge test and the DM empowerment scale.
Results: Paired sample t-tests were used to analyze the outcomes. The participants had an average pre-A1C of 8.82 mg/dl with post-A1C of 8.01 mg/dl (p = .028). Pre-knowledge test scores averaged 9.40 with post-test average of 12.07 (p < .001). Empowerment scores increased from 4.09 to 4.63 (p = .001). The reduction between the average pre-and post-weight measures were not statistically significant (p = .681).
Discussion: The implementation of a culturally-tailored DM educational program in a medically underserved community had a significant impact on reducing A1C levels, improving DM knowledge, and enhancing empowerment levels. Although the sample size was small and limited to one clinic, applying these programs can have a measurable clinical impact in the treatment of Hispanic DM patients. Future research can further exam how to duplicate this project on a larger scale and over a sustained period.
ContributorsBrown, Fionnuala S. (Author) / Thrall, Charlotte (Thesis advisor)
Created2018-04-23