View clinical trials related to Health Services Accessibility.
Filter by:This protocol describes an evaluation of the CyberRwanda program, a digital health tool designed with and for adolescents in Rwanda, with a focus on successful futures, broadly, and family planning and reproductive health, more specifically. CyberRwanda is a tablet-based system that provides information on family planning and reproductive health through a set of vignettes. The program also allows users to order and purchase contraceptives, with pick up at nearby participating pharmacies. The program will be implemented in schools in eight districts in Rwanda. The investigators will conduct a 3-arm, cluster, randomized controlled trial to evaluate the impact of CyberRwanda on three primary outcomes: uptake of a contraceptive method, initiation of childbearing, and HIV testing. The investigators will compare two implementation models (facilitated and self-service) to a control arm at the school (cluster) level. The study will enroll 60 schools (20 per arm) and 100 students per school, and follow students for 24 months.
The goal of this research study is to find out if a decision aid (DA) created by investigators, I Can PIC, is effective in helping cancer patients make decisions about their health insurance. The investigators will evaluate I Can PIC compared to an attention control condition (existing website created by the American Cancer Society Cancer Action Network). The study hypothesis is that those randomly assigned to I Can PIC will have higher knowledge about health insurance terms and details, more certainty about the best health insurance plan for them, and more confidence in their health insurance decisions compared to those randomly assigned to the control condition.
The evidence on how primary care provider supply and skill relates to patient outcomes is limited and inconclusive. The issue of skill is a particularly important one in low-income countries where the shortage of skilled medical professionals has led to greater use of the task-shifting model in which medical tasks are redistributed from highly skilled health workers to mid-level providers who receive less training. In this large-scale cluster-randomized trial, the investigators randomly select primary health care facilities to receive a highly skilled provider (a doctor), a mid-level health provider, or no additional providers (the control group). The investigators study the effect of this intervention on patient outcomes. Embedded within this trial is another experimental intervention in which pregnant women residing in communities served by the primary health care facilities are assigned to receive a cash transfer conditional on using antenatal, delivery and postnatal care. The investigators study the effect of the cash transfer on health care utilization and on maternal and infant outcomes.
Background: The SEER database collects data about people with cancer. SEER stands for Surveillance, Epidemiology, and End Results. Medicaid is a kind of health insurance. It is for people who have low income or serious medical needs. Many studies have shown that Medicaid recipients with cancer are more likely to be diagnosed later in the disease than people with other insurance. They are also less likely to get treatment. Researchers want to compare Medicaid data and SEER data. They want to make this available to other scientists. Objectives: To link people in the SEER database to Medicaid data for the years around their cancer diagnosis. To create a file that contains SEER case numbers linked to Medicaid numbers. Eligibility: No people are enrolled in this study. Design: The SEER finder file will be securely uploaded to the CMS Data Center. The finder file will be matched against the Medicaid Personal Summary file at the CMS Data Center. If participants appear in both the SEER file and Medicaid file, their data will be extracted. The dates of Medicaid data will be compared with the SEER date of diagnosis. Researchers will see if the Medicaid dates fall in certain periods. These are 12 months before, the month of, and 11 months after diagnosis. If participants are eligible for Medicaid for these periods, a flag will be created in the file. It will note the participants is eligible and why. The SEER finder file will be destroyed. The only data saved will be: Each participant's unique random SEER case number linked to their Medicaid number Monthly flags about Medicaid eligibility
The overall purpose of the study is to better understand how the investigators previously developed decision support (DS) tool can help people make decisions about health insurance plans available through the federal exchanges created by the Affordable Care Act (ACA). The investigators will evaluate the DS tool compared to the federal government website. The investigators will also evaluate the feasibility of disseminating this tool. There are two primary aims to be completed in this project: (1) examine the reach and effectiveness of the health insurance DS tool; and (2) collect stakeholders' feedback to improve the likelihood of implementation of the DS tool.
The investigators seek to improve health systems so underserved people, patients without insurance, Medicaid, Medicare, as well as self pay and their caregivers can better access health care for common problems and acute care needs (same day appointments).
The overall goal of the study is to better understand how communication strategies can help people make decisions about health insurance plans. This study aims to: - (Aim 1) Examine currently uninsured individuals' understanding of terminology and details of health insurance plans; - (Aim 2) Apply three recommended strategies for communicating information about health insurance plans; - (Aim 3) Test the effects of these strategies in a randomized experiment.