Walden University congratulates the following individuals and research teams for their standout projects:
Assessing a Predictive Modeling Technique for Proactive Patient Management of Diabetes
Principal Investigator: Dr. Howard B. Schechtner, School of Management
Co-Principal Investigator: Mr. Nithyanandam Mathiyazhagan, School of Management
Grant Amount: $15,000
Project Abstract: Diabetes affects nearly 25 million Americans and is estimated to cost approximately $125 billion annually. It is the sixth leading cause of death in the U.S. The human cost can be measured in terms of hospitalizations, drug costs, amputations, blindness, nerve damage, pain management and other health problems. The societal cost is in the trillions of dollars and is stressing a health care system whose costs are soaring. This study will create and assess predictive models for patients to proactively treat their blood sugar levels. It is difficult for patients to predict blood sugar as current technology gives them only a momentary reading without indicating whether levels are rising or falling. If insulin boluses are injected when sugars are high but actually falling, a serious hypoglycemic event requiring hospitalization could transpire. The model will take into account a number of variables such as insulin dose, blood sugar level, food intake (grams of carbohydrates), calories consumed, food timing, physical activity, type of activity, duration of activity, time of day, day of week and historical blood sugar readings. These explicit and tacit knowledge variables will guide the creation of the predictive model. The goal of the research is to tighten the control of blood sugar range which typically means reducing the running average of blood sugar level readings and reducing high and low readings. The theoretical basis for the study rests with Nonaka and Takeuchi’s Spiral Process Theory of Knowledge which will guide the creation of the model. This knowledge-based, technology-leveraged approach has the goal of greater adherence to self-controlled diabetes management through tacit and explicit knowledge conversion and internalization.
Formative Research to Identify Barriers to Completing Prenatal Care Services in HIV-Positive Communities in Rural South India
Principal Investigator: Dr. Vishnu-Priya Sneller, College of Health Sciences
Co-Principal Investigator: Dr. Raghu Korripati, School of Management
Grant Amount: $20,000
Project Abstract: The study proposes to use qualitative and quantitative methods to assess the prenatal services available to women in rural India. In collaboration with a local non-government agency that provides HIV prevention services in three different settings in Andhra-Pradesh. Participants will be residents from communities where HIV is known to be present. Participating communities will be identified by locating HIV-positive women who were lost to follow-up during the third trimester of pregnancy and missed an opportunity to prevent perinatal transmission of HIV. The project proposes to use qualitative and quantitative methods to identify barriers to prenatal care and health status of HIV-positive women who were lost to follow-up. Qualitative methods will use focus groups and non-structured interviews. The quantitative method will use structured interviews. Focus groups composed of women 16 years and older and couples from these communities will inform the development of communication messages and print material promoting prenatal care. Focus groups will also be used to develop the questionnaire, which will be used for individual interviews. Women 16 years and older from these communities will participate voluntarily in the structured individual interviews. Univariate and logistic regression models will be used to describe the barriers to prenatal care and risk for HIV infections in these communities.
About the Faculty Research Initiative Grant
The Faculty Research Initiative Grant program is open to all faculty who have been employed by Walden for a minimum of six months. Grant funds can be used to support pilot research projects and small-scale research studies, and to supplement new areas of investigation that are spin-off studies or sub-studies of larger ongoing research projects.




