Challenges in conducting long-term outcomes studies in critical care
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Review of the methodological challenges of long-term follow-up studies in critical care: attrition, missing data, lack of standardized outcomes and covariate reporting, and proposed methodological solutions; the object is how this research is done.
It directly examines methodological challenges in conducting long-term critical-care outcome studies.
Review of methodological challenges in conducting and completing long-term critical care outcomes research.
Abstract
PURPOSE OF REVIEW: Evaluating longer term mortality, morbidity, and quality of life in survivors of critical illness is a research priority. This review details the challenges of long-term follow-up studies of critically ill patients and highlights recently proposed methodological solutions. RECENT FINDINGS: Barriers to long-term follow-up studies of critical care survivors include high rates of study attrition because of death or loss to follow-up, data missingness from experienced morbidity, and lack of standardized outcome as well as reporting of key covariates. A number of recent methods have been proposed to reduce study patients attrition, including minimum data set selection and visits to transitional care or home settings, yet these have significant downsides as well. Conducting long-term follow-up even in the absence of such models carries a high expense, as personnel are very costly, and patients/families require reimbursement for their time and inconvenience. SUMMARY: There is a reason why many research groups do not conduct long-term outcomes in critical care: it is very difficult. Challenges of long-term follow-up require careful consideration by study investigators to ensure our collective success in data integration and a better understanding of underlying mechanisms of mortality and morbidity seen in critical care survivorship.
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The record
- Venue
- Current Opinion in Critical Care
- Topic
- Sepsis Diagnosis and Treatment
- Field
- Medicine
- Canadian institutions
- University of TorontoUniversity Health Network
- Funders
- National Institute of General Medical SciencesNational Institute on Aging
- Keywords
- AttritionReimbursementMedicineMinimum Data SetSurvivorship curveTerm (time)Intensive care medicineLong-term careMEDLINESet (abstract data type)Health careNursingNursing homesEnvironmental healthComputer sciencePopulation
- Has abstract in OpenAlex
- yes