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Stroke, ISSN 0039-2499, 09/2017, Volume 48, Issue 9, pp. 2534 - 2540
BACKGROUND AND PURPOSE—Substantial variability exists in the use of life-prolonging treatments for patients with stroke, especially near the end of life. This... 
end-of-life | inpatients | United States | palliative care | stroke | subarachnoid hemorrhage | UNITED-STATES | QUALITY-OF-CARE | ACUTE BRAIN-INJURY | TRENDS | NOT-RESUSCITATE ORDERS | CLINICAL NEUROLOGY | RECOMMENDATIONS | ACUTE ISCHEMIC-STROKE | INTRACEREBRAL HEMORRHAGE | PERIPHERAL VASCULAR DISEASE | OUTCOMES | ASSOCIATION | Multivariate Analysis | Asian Americans - statistics & numerical data | Humans | Middle Aged | Hospitals, Public - statistics & numerical data | Hispanic Americans - statistics & numerical data | Male | Hospitals, Voluntary - statistics & numerical data | Health Facility Size - statistics & numerical data | Palliative Care - utilization | Insurance, Health - statistics & numerical data | Indians, North American - statistics & numerical data | Hospitals - statistics & numerical data | Aged, 80 and over | Female | Retrospective Studies | Stroke - mortality | Terminal Care | Length of Stay - statistics & numerical data | Stroke - therapy | Databases, Factual | Severity of Illness Index | Ethnic Groups - statistics & numerical data | Hospitals, Private - statistics & numerical data | Quality Indicators, Health Care | European Continental Ancestry Group - statistics & numerical data | Logistic Models | Hospitalization | African Americans - statistics & numerical data | Aged | Quality of Health Care | 10070 | Original Contributions | 10162 | 10173 | 10178 | 10177
Journal Article
Critical care medicine, ISSN 0090-3493, 2010, Volume 38, Issue 1, pp. 65 - 71
Journal Article
Journal Article
The Lancet (British edition), ISSN 0140-6736, 2015, Volume 385, Issue 9987, pp. 2592 - 2599
Summary Background Falls are the most frequent adverse events that are reported in hospitals. We examined the effectiveness of individualised falls-prevention... 
Internal Medicine | MULTIFACTORIAL INTERVENTION | MEDICINE, GENERAL & INTERNAL | INPATIENT FALLS | INJURIES | EVENTS | PREVENT FALLS | Education, Continuing - statistics & numerical data | Humans | Patient Education as Topic - statistics & numerical data | Male | Incidence | Rehabilitation - education | Nervous System Diseases - epidemiology | Accidental Falls - prevention & control | Heart Diseases - epidemiology | Hospital Units - statistics & numerical data | Aged, 80 and over | Female | Stroke - epidemiology | Rehabilitation Centers - statistics & numerical data | Cognition - classification | Health Education - statistics & numerical data | Length of Stay - statistics & numerical data | Accidental Falls - mortality | Comorbidity | Education, Continuing - organization & administration | Patient Education as Topic - organization & administration | Accidental Falls - statistics & numerical data | Survival Rate | Treatment Outcome | Hip Fractures - epidemiology | Patient Outcome Assessment | Australia - epidemiology | Health Education - organization & administration | Musculoskeletal Diseases - epidemiology | Respiratory Tract Diseases - epidemiology | Program Evaluation | Patient Readmission - statistics & numerical data | Cluster Analysis | Australia | Education | Statistics | Analysis | Studies | Intervention | Falls | Medical research | Patient education | Hospitals | Pragmatism | Rehabilitation
Journal Article
Journal Article
BMC health services research, ISSN 1472-6963, 2019, Volume 19, Issue 1, pp. 329 - 11
BackgroundThe overuse of tertiary hospitals and underuse of primary care facilities has been one of the key reasons leading to fast health expenditure increase... 
Health insurance | Inter-facility transfer | Inpatient care | Health policy | General hospital | COMMUNITY | HEALTH CARE SCIENCES & SERVICES | INSURANCE | CARE | TRAUMA | Health Care Reform - statistics & numerical data | Humans | Middle Aged | Child, Preschool | Hospitalization - statistics & numerical data | Infant | Male | Health Care Reform - economics | Health Services Accessibility - economics | Insurance, Health - statistics & numerical data | Young Adult | Rural Health - economics | Rural Health - statistics & numerical data | China | Aged, 80 and over | Adult | Female | Patient Transfer - statistics & numerical data | Child | Infant, Newborn | Health Services Accessibility - statistics & numerical data | Cross-Sectional Studies | Health Expenditures - statistics & numerical data | Logistic Models | Insurance Coverage - statistics & numerical data | Health Services - statistics & numerical data | Inpatients - statistics & numerical data | Hospitals | Patient Acceptance of Health Care | Medically Uninsured - statistics & numerical data | Patient Transfer - economics | Adolescent | Aged | Hospitalization - economics | Medical policy | Hospital patients | Comorbidity | Analysis | Health care reform | Health insurance industry | Medical records | Medical care, Cost of | Patient safety | Health facilities | Health services utilization | Mortality | Health care policy
Journal Article
Australasian Psychiatry, ISSN 1039-8562, 2008, Volume 42, Issue 4, pp. 267 - 282
Objective: This paper reports findings from a multicentre service evaluation project conducted in acute psychiatric inpatient units in NSW, Australia. Overall... 
Inpatients | Aggression | Patient readmission | Psychiatry | Risk factors | Length of stay | risk factors | inpatients | VIOLENT BEHAVIOR | LENGTH | FOLLOW-UP | aggression | psychiatry | NATIONWIDE COHORT | CARE | PREDICTORS | REVOLVING-DOOR PATIENTS | LONG-STAY | length of stay | patient readmission | OUTCOMES | Evaluation | Psychiatric hospital care | Services for | Research | Risk management | Patients | Outcome assessment (Medical care) | Age Distribution | Humans | Middle Aged | Psychiatric Department, Hospital - statistics & numerical data | Risk Factors | Male | Aggression - psychology | Inpatients - statistics & numerical data | Patient Care Management | Risk Management | Socioeconomic Factors | Workload | Sex Distribution | Adult | Female | Inpatients - psychology | Australia | Odds Ratio | Patient Readmission - statistics & numerical data | Health Care Surveys | Length of Stay - statistics & numerical data | Patient Admission, statistics and numerical data | New South Wales | Schizophrenia and Disorders with Psychotic Features | Commitment of Mentally Ill, statistics and numerical data | Patient Dropouts, statistics and numerical data | Length of Stay, statistics and numerical data | Analysis of Variance | Psychiatric Department, Hospital, statistics and numerical data | Substance-Related Disorders | Bed Occupancy, statistics and numerical data | Mentally Ill Persons, statistics and numerical data | Patient Readmission, statistics and numerical data | Medical Records Systems, Computerized, statistics and numerical data
Journal Article
European Journal of Vascular & Endovascular Surgery, ISSN 1078-5884, 2012, Volume 44, Issue 3, pp. 267 - 272
Journal Article
BMC health services research, ISSN 1472-6963, 2018, Volume 18, Issue 1, pp. 846 - 9
Journal Article
BMC health services research, ISSN 1472-6963, 2018, Volume 18, Issue 1, pp. 618 - 8
Background: Idiopathic pulmonary fibrosis is a disease with high morbidity and mortality. Care for these patients, including lung transplantation, may provide... 
Idiopathic pulmonary fibrosis | Disparities | Lung transplantation | MORTALITY | SURVIVAL | INSURANCE STATUS | HEALTH-INSURANCE | ETHNIC DISPARITIES | HEALTH CARE SCIENCES & SERVICES | MEDICARE BENEFICIARIES | CYSTIC-FIBROSIS | SOCIOECONOMIC-STATUS | ACCESS | Pulmonary Fibrosis - therapy | United States - epidemiology | Medicaid - economics | Lung Transplantation - statistics & numerical data | Humans | Middle Aged | Hospitalization - statistics & numerical data | Male | Medicaid - statistics & numerical data | Pulmonary Fibrosis - epidemiology | Hospitals - statistics & numerical data | Lung Transplantation - economics | Patient Discharge - statistics & numerical data | Female | Retrospective Studies | Databases, Factual | International Classification of Diseases | Healthcare Disparities - statistics & numerical data | Patient Discharge - economics | Pulmonary Fibrosis - economics | Logistic Models | Insurance Coverage - statistics & numerical data | Inpatients - statistics & numerical data | Healthcare Disparities - economics | Medically Uninsured - statistics & numerical data | Aged | Hospitalization - economics | Care and treatment | Pulmonary fibrosis | Economic aspects | Health care disparities | Medically uninsured persons | Social aspects | Statistics | Insurance coverage | Medicare | Socioeconomic factors | Mortality | Health care policy
Journal Article