Main description:

Enteral Nutrition (EN) is a large, complex market, affecting patients across demographics. Yet it has, historically, been a challenge to gather key information about its size, scope and reach. To address this, ASPEN developed ASPEN Enteral Nutrition by the Numbers: EN Data Across the Healthcare Continuum, a comprehensive report capturing the most recent data available on the use and practice of this life-saving clinical nutrition therapy.

The information contained in the report is intended to support anyone bringing EN to those who need it - clinicians and healthcare administrators, supply chain personnel, safety and regulatory organizations, payers, manufacturers, and policymakers, among others.

In addition to identifying gaps in data, the report suggests ways to fill them with future research. It also outlines market drivers, challenges, and trends, segmenting data by:

Healthcare setting, from acute care hospitals, nursing homes, and home care settings to long-term acute care hospitals, and inpatient rehabilitation facilities.
Product type and delivery methods, accounting for details including tube types, formula mix, and administration methods.
The intersection of EN and malnutrition, including how and when providers might prescribe this nutrition therapy to both acute and post-acute care patients.

Contents:

Executive Summary
Introduction
EN Overview
Objectives
Patients in the Healthcare System
Methodology
Data Sources: Big Data Sets
Data Sources: Large EN Studies in the Literature
Data Source: ASPEN Survey
Results
Segmentation by Healthcare Setting
Acute Care Hospitals
Acute Care Hospital Data from Big Data Sources
Acute Care Hospital Data from the Literature
Acute Care Hospital Data from ASPEN Survey
Analysis of the Acute Care Hospital Setting
Nursing Homes
Nursing Home Data from Big Data Sources
Nursing Home Data from the Literature
Nursing Home Data from the ASPEN Survey
Analysis of the Nursing Home Setting
Home Care
Home Care Data from Big Data Sources
Home Care Data from the Literature
Home Care Data from the ASPEN Survey
Analysis of the Home Care Setting
Long-Term Acute Care Hospitals (LTCH)
LTCH Data from Big Data Sources
LTCH Data from the Literature
LTCH Data from the ASPEN Survey
Analysis of the LTCH Setting
Inpatient Rehabilitation Facilities (IRF)
IRF Data from Big Data Sources
IRF Data from the Literature
IRF Data from the ASPEN Survey
Analysis of the IRF Setting
Segmentation by Product Type and Delivery Methods
Types of Feeding Tubes
Feeding Tube Types in Acute Care
Feeding Tube Types in Post-Acute Care
Analysis of Feeding Tubes
Types of Formula Administered
Types of Formulas Used Across Healthcare Settings
Use of Modular Components
Analysis of Formula Types
EN Delivery Methods
Open vs. Closed Delivery Systems
Water Flushes
Analysis of Administration Methods
Malnutrition and EN
Acute Care Hospitals
Post-acute Care
Market Drivers, Trends, and Challenges
Growing Awareness of the Role of Nutrition
Aging Population and Malnutrition Risk
Healthcare Delivery and Reimbursement Policies
Coverage Policies for EN
Greater Involvement in Self Care
EN Order Writing: Changes in Prescribers
Opportunity for Future Research
Conclusion
Appendices
Glossary of Abbreviations and Terms
References
Acknowledgements
Tables
Table A. Discharge Status for Hospital Discharges 2014
Table B. Prevalence of Clinical Measures in Nursing Home Residents By Age, by Percent, 2014
Table C. Health Care Settings, Enteral Nutrition Coverage and Payer Policies
Table D. EN Payer Mix per Healthcare Setting
Table E. ASPEN Clinical Practice Committee Enteral Nutrition Survey Instrument
Table F. ICD-9-CM Diagnosis Codes for Malnutrition Used in HCUP Data Analysis