Health Services Research studies
A Non-Inferiority Comparative Effectiveness Trial of Home-Based Palliative Care in Older Adults (HomePal)
The aim of this pragmatic trial is to compare the effects of a standard home-based palliative care (HBPC) model to a more efficient tech-supported model that includes remote physician supervision/consultation on patient symptom burden and days spent at home in the last 6 months of life and family caregiving preparedness.
Developing an HIV Specific-Specific Prevention Index Using Electronic Medical Record (HIV PI)
The goals of this study are to assess in HIV-infected patients, the degree of association between successful general clinical care by HIV disease-treating providers (reflected in overall adherence to recommended general prevention and screening guidelines) and higher-quality HIV-specific care and related clinical outcome.
Diagnosis of Hypertension in Specialty Clinics
High blood pressure can be missed in patients who do not have regular visits with their primary care provider. The goal of the present project is to estimate the efficacy of blood pressure assessments in specialty clinics. We will compare recognition, follow-up, and time-to-treatment between patients first recognized in specialty care to those in primary care.
The overall goal of this mixed-method, phased evaluation approach is to document the successes, challenges, and lessons learned from implementation of the Focus Home ecosystem components, and to document the process and outcome measures for key system end-users including patients, family caregivers, and clinicians as the service, IT, and population management data analytical features of the ecosystem goes live over the next two years.
Improving care transitions and reducing readmissions
The SCAL Readmissions Reduction Steering Committee desperately needs ongoing analytical support for data-driven decision making on the provision of care transition services and interventions for the 150K annual discharges from KFH hospitals. Since 30-day readmission rates affect Medicare 5-star ratings and financial penalties, reducing avoidable readmission without causing patient harm is high priority for the organization. Care transition services are often complex and multi-component in nature and are constantly evolving. Evaluation of impact requires significant data curation efforts and advanced statistical methods to assess individual, additive or synergistic effects across the multiple intervention components. Different study designs and analytical methods will be used depending on the specific questions to maximize rigor, e.g. retrospective cohort, econometric approaches. Previous analyses have informed critical operational decisions.
Principal Investigator:Huong Q. Nguyen, PhD, RN
Funding Source:Kaiser Permanente, Southern California
Research Categories:Health Services Research
Kaiser Permanente & Strategic Partners Patient Outcomes Research To Advance Learning, (PCORI/PORTAL Network)
The PORTAL network propose to create a cohort of adults who are overweight or obese, including those who have pre-diabetes or diabetes. The cohort development activity will demonstrate that the PORTAL network is able to meet the 10 criteria for a clinical data research network specified by PCORI.
Optimizing care delivery, quality and outcomes for people living with dementia (PLWD) and their family
We currently do not have a coordinated, effective, and scalable strategy to meet the ongoing medical and social needs of persons living with dementia (PLWD) and their families in KPSC. The goals of this project are: 1) better understand the patterns of diagnosis and care for patients with dementia, mild cognitive impairment and memory loss to identify potential improvement opportunities and 2) to generate preliminary data towards testing an integrated home-based care model for PLWD and their family caregivers. ?
Reducing Childhood Obesity through EHR-supported Motivational Interviewing
Rates of childhood obesity in the U.S. remain at historic highs. Primary care settings lack interventions to address the childhood obesity epidemic that are feasible and sustainable without requiring significant resources. We will test a motivational interviewing-based intervention shown to lower children’s BMI in a real-world clinical setting with the goal of halting and reversing the childhood obesity epidemic.
Risk of Cancer in Childhood and Adolescence Associated with Medical Imaging
The goal of this study it to evaluate patterns of medical imaging associated with cumulative exposure to radiation (CT, nuclear medicine, fluoroscopy, angiography, and radiography), and subsequent risk of childhood cancers.
The Virtual Visit for Women with Gestational Diabetes Mellitus (GDM)
This pilot study will address two specific aims: (1) to assess the acceptability of telemedicine technology to conduct virtual office visits alternating with regular office- based prenatal visits for women with GDM from the viewpoint of women with GDM and their health care providers using qualitative research methods, and (2) to assess the feasibility of this telemedicine-based intervention (Virtual Office Visit) for women with GDM. This information was be used to support a larger proposal to obtain funding to conduct a clinical trial to test the proposed intervention after it is refined based on input from patients and health care providers.
Trajectories of Physical Activity and Sedentary Time in Adolescent/Young Women (TAAG 3)
The major goals of this trial are to determine the effectiveness of a school and community-linked physical activity intervention to reduce the decline in physical activity in young women, a cohort who have been followed since middle school.
Translation of a Lung Cancer Palliative Care Intervention for Clinical Practice
The purpose of this study is to test the dissemination of a Palliative Care Intervention (PCI) for patients with non-small cell lung cancer (NSCLC) and their primary family caregivers (FCG)
Using Computational Approaches to Optimize Asthma Care Management
This project aims to improve the accuracy of computationally identifying high-risk asthma patients, it’s assess potential impact on outcomes and to provide automated prediction result explanations for care management.