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NCT ID: NCT06407076 Not yet recruiting - Healthcare Clinical Trials

Strengths and Weaknesses of Physiotherapy in the Daily Work of an Intensive Care Unit

Start date: May 9, 2024
Phase:
Study type: Observational

Background. A stay in the Intensive Care Unit can cause long-term problems and physiological changes at the neuromuscular and respiratory levels in critically ill patients. Early physiotherapy in these patients is safe and feasible to avoid or reduce the adverse musculoskeletal and respiratory effects of the stay in this hospital unit. Objective. To identify the strengths and barriers of Physiotherapy in an Intensive Care Unit, according to the vision of different Health Science professionals. Method. Qualitative observational study using individual interviews and focus groups. 18 people (6 doctors, 6 nurses and 6 physiotherapists) will be included in the study. The 18 health professionals will participate in personal interviews and focus groups (3 focus groups with 6 participants each). Participants will be recruited from the Intensive Care Unit of the Hospital Universitario Central de Asturias. Data will be analysed using the thematic analysis approach according to Braun and Clarke's method. We will use face-to-face interviews and focus groups to collect data and analyse them through thematic analysis. Purposive sampling will be used to recruit our participants. We will continue to recruit participants, if necessary, until saturation of data from the thematic analysis is reached. Expected outcomes. To assess the knowledge, perceptions and expectations of the healthcare staff in the Intensive Care Unit regarding Physiotherapy in the management of patients admitted to this Unit. To identify the strengths of Physiotherapy in the management of these patients.

NCT ID: NCT04769349 Active, not recruiting - Covid19 Clinical Trials

Effectiveness of Supportive Housing on COVID-19 Related Outcomes for People Experiencing Homelessness

Start date: January 29, 2021
Phase:
Study type: Observational

This study aims to understand the comparative effectiveness of two PSH models (PB-PSH and SS-PSH) on quality of life and COVID-19 related health behaviors by following for 6 months a cohort of 800 PEH who have been placed in either PB (n=400) or SS (n=400). In a natural observational experiment, participants will complete 6 monthly mobile-based questionnaires exploring quality of life including physical, mental, social, and housing/environmental health, COVID-19 prevention practices (i.e., handwashing, social distancing, face covering), and past-30-day healthcare utilization. A sub-sample of 40 participants living in both PB-PSH and SS-PSH will be qualitatively interviewed longitudinally to help contextualize quantitative findings. Focus groups will also be conducted with providers of PSH and qualitative interviews will be conducted with other key stakeholders to understand perspectives on the challenges of implementing and sustaining COVID-19 related prevention practices while maintaining a continuity of care.

NCT ID: NCT01765621 Completed - Healthcare Clinical Trials

Clinical and Economic Impact of an Electronic Medical Record Interfaced Decision Support System Reinforced With Patient Specific Pharmacogenetic Data for Minimizing Severe Drug-Drug Interactions

DDI+
Start date: January 2013
Phase: N/A
Study type: Interventional

Leumit Health Services, an health maintenance organization operating in Israel, will incorporate a web-based, decision support system for handling drug-drug interactions and drug information, termed DDI+ reinforced with patient specific pharmacogenetic data. The investigators hypothesize that implementing such a system will reduce health-care expenditures (e.g., hospital admissions, referrals to ERs, Imaging procedures).

NCT ID: NCT01765595 Completed - Healthcare Clinical Trials

Clinical and Economic Impact of an Electronic Medical Record Interfaced Decision Support System for Minimizing Severe Drug-Drug Interactions

DDI+
Start date: January 2013
Phase: N/A
Study type: Interventional

Leumit Health Services, an health maintenance organization operating in Israel, will incorporate a web-based, decision support system for handling drug-drug interactions and drug information, termed DDI+. the investigators hypothesize that implementing such a system will reduce health-care expenditures (e.g., hospital admissions, referrals to ERs, Imaging procedures).