View clinical trials related to Risk Reduction.
Filter by:The study team previously demonstrated that patients are more likely to receive flu vaccine after learning that they are at high risk for flu complications. Building on this past work, the present study will explore whether providing reasons that patients are considered high risk for flu complications (a) further increases the likelihood they will receive flu vaccine and (b) decreases the likelihood that they receive diagnoses of flu and/or flu-like symptoms in the ensuing flu season. It will also examine whether informing patients that their high-risk status was determined by analyzing their medical records or by an artificial intelligence (AI) / machine-learning (ML) algorithm analyzing their medical records will affect the likelihood of receiving the flu vaccine or diagnoses of flu and/or flu-like symptoms.
This novel study supports the positive benefits of Home Based Older Persons Upstreaming Physical Therapy (HOP-UP-PT) to older adults identified as "at-risk" by their local senior center after participating in a prevention-focused multimodal program provided by physical therapists in their home.
The primary aim of this study is to examine whether lower-risk activities displace participation in higher-risk behaviors during COVID-19. Investigators will test this aim by promoting specific activities that are expected to be low-risk when it comes to COVID-19 transmission (e.g., participating in a hiking challenge) and assessing impacts on participants' activity choices. Investigators also aim to describe adults' activity participation during COVID-19 generally and to examine secondary outcomes, including reported stress and sleep.
This study was planned to investigate the relationship between the risk of injury and posture in wrestlers. The study will be included male wrestlers. The spine posture and flexibility of the athletes will be measured during standing position with the Idiag M360® brand Spinal Mouse (SM), while the overall body posture will be measured from the anterior and lateral sides using the New York Posture Analysis Method (NYPAM). Injury risks of the athletes will be evaluated by Functional Movement Screen (FMS) which was consisting of seven basic movement patterns.
The purpose of this study is to provide medication for opioid use disorder (MOUD) with buprenorphine and naloxone, or bup/nx, and pre-exposure prophylaxis (PrEP) for HIV prevention for persons who inject opioids accessing syringe services programs (SSPs), as part of a comprehensive harm reduction program, and assess the acceptability and feasibility of using telemedicine to implement the program. The initial visit will be conducted in person or remotely via telemedicine given COVID-19 protocols at the SSP sites in Charlotte and Wilmington, North Carolina (NC); follow-up visits will be conducted via telemedicine.
The purpose of this study is to gain on-going COVID-19 feedback/data to drive timely action locally and nationally in order to mitigate transmission. Data will be deidentified and consolidated to create a large national longitudinal database.
Pregnant women - living in thecatchment area of a public dental clinic with known higher caries experience and generally lower socioeconomical status than at other dental clinics in the Region - are recruited for the study. Repeated information and surveys of dental knowledge, dental habits and medical conditions etc. is sample. Before birth, one month after birth, and 12 and 18 months after birth of the Child, the mother repeatedly answers questionnaires and recieves information about dental care. At 18 months,and at the 3- and 6-year dental examinations the caries experience dmft/deft is registered. All Children and accompanying parent receives an individual caries preventive program between the examinations. Evaluation will be focused on possible caries sreduction and Health econimic aspects of the interventions.
The purpose of the current study is to test different interventions to determine the most effective way to promote flu vaccine uptake in a high-risk population identified by an "artificial intelligence" (AI) or machine learning (ML) algorithm. The specific aims are: 1. Evaluate the effect on flu vaccination rates of informing health-system patients who are identified by an ML analysis of EHR data to be at high risk for flu complications that they are at high risk with either (a) no additional explanation, (b) an explanation that this determination comes from an analysis of their medical records, and (c) the additional explanation that an AI or ML algorithm made this determination. 2. Evaluate the effects of the same three interventions on diagnoses of flu in the same patients.
The purpose of this study is to examine (1) how the causal structure of a disease influences people's disease prevention decisions; and (2) how the causal structure of a disease interacts with people's regret anticipation in determining their disease prevention decisions.
The general research question posed was 'How effective is a healthy lifestyle intervention using behavioural change strategies in the prevention of Type 2 Diabetes Mellitus (T2DM)?'. The main aim was to assess the effectiveness of a healthy lifestyle intervention implemented for 12 weeks via face-to-face group sessions and by using social media tools (Facebook and WhatsApp) for young adults at risk of T2DM. The hypothesis was that this healthy lifestyle intervention may be effective in terms of initiating an increased physical activity (PA) level and a healthy balanced dietary intake resulting in improvements of other T2DM risk factors at 12 weeks.