Biomaterial Database

The '6W' multidimensional model of care trajectories for patients with chronic ambulatory care sensitive conditions and hospital readmissions. 2018

A Vanasse, and M Courteau, and J-F Ethier

Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, 3001, 12th Avenue North, Sherbrooke, QC J1H 5N4, Canada; Research Center of the Centre Hospitalier Universitaire de Sherbrooke, 3001, 12th Avenue North, Sherbrooke, QC J1H 5N4, Canada. Electronic address: Alain.Vanasse@Usherbrooke.ca.

OBJECTIVE To synthesize concepts and approaches related to the analysis of patterns or processes of care and patient's outcomes into a comprehensive model of care trajectories, focusing on hospital readmissions for patients with chronic ambulatory care sensitive conditions (ACSCs). METHODS Narrative literature review. METHODS Published studies between January 2000 and November 2017, using the concepts of 'continuity', 'pathway', 'episode', and 'trajectory', and focused on readmissions and chronic ACSCs, were collected in electronic databases. Qualitative content analysis was performed with emphasis on key constituents to build a comprehensive model. RESULTS Specific common constituents are shared by the concepts reviewed: they focus on the patient, aim to measure and improve outcomes, follow specific periods of time and consider other factors related to care providers, care units, care settings, and treatments. Using these common denominators, the comprehensive '6W' multidimensional model of care trajectories was created. Considering patients' attributes and their chronic ACSCs illness course ('who' and 'why' dimensions), this model reflects their patterns of health care use across care providers ('which'), care units ('where'), and treatments ('what'), at specific periods of time ('when'). CONCLUSIONS The '6W' model of care trajectories could provide valuable information on 'missed opportunities' to reduce readmission rates and improve quality of both ambulatory and inpatient care.

UI	MeSH Term	Description	Entries
D010359	Patient Readmission	Subsequent admissions of a patient to a hospital or other health care institution for treatment.	Hospital Readmission,Rehospitalization,Unplanned Hospital Readmissions,Unplanned Readmission,30 Day Readmission,Hospital Readmissions,Readmission, Hospital,Readmissions, Hospital,Thirty Day Readmission,30 Day Readmissions,Hospital Readmission, Unplanned,Hospital Readmissions, Unplanned,Readmission, Patient,Readmission, Thirty Day,Readmission, Unplanned,Rehospitalizations,Thirty Day Readmissions,Unplanned Hospital Readmission,Unplanned Readmissions
D002908	Chronic Disease	Diseases which have one or more of the following characteristics: they are permanent, leave residual disability, are caused by nonreversible pathological alteration, require special training of the patient for rehabilitation, or may be expected to require a long period of supervision, observation, or care (Dictionary of Health Services Management, 2d ed). For epidemiological studies chronic disease often includes HEART DISEASES; STROKE; CANCER; and diabetes (DIABETES MELLITUS, TYPE 2).	Chronic Condition,Chronic Illness,Chronically Ill,Chronic Conditions,Chronic Diseases,Chronic Illnesses,Condition, Chronic,Disease, Chronic,Illness, Chronic
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000553	Ambulatory Care	Health care services provided to patients on an ambulatory basis, rather than by admission to a hospital or other health care facility. The services may be a part of a hospital, augmenting its inpatient services, or may be provided at a free-standing facility.	Outpatient Care,Outpatient Health Services,Clinic Visits,Health Services, Outpatient,Outpatient Services,Services, Outpatient Health,Urgent Care,Care, Ambulatory,Care, Outpatient,Care, Urgent,Cares, Urgent,Clinic Visit,Health Service, Outpatient,Outpatient Health Service,Outpatient Service,Service, Outpatient,Service, Outpatient Health,Services, Outpatient,Urgent Cares,Visit, Clinic,Visits, Clinic
D015233	Models, Statistical	Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.	Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model