The Global Malnutrition Composite Score quality measure is now available for 2024 hospital reporting.
Once your existing workflow is well understood by team members, compare the recommended best practices for malnutrition care to the existing workflow processes you just mapped. Assessing where there are differences or gaps compared to your current workflow may help identify more specific areas to target for improvement. The recommended clinical workflow and related best practices presented in this section are based on existing consensus-based, clinical guidance documents from professional societies and research results at leading hospitals.
Example: Evaluate whether templates used for patient intake include a section for recording results of a malnutrition screening. If these documents are separate, it creates an additional step for nurses during patient intake and may decrease the likelihood that screening results get captured in the patient record. Addressing this documentation issue would be an improvement your care team can implement for this initiative.
Birmingham Nutrition Risk (BNR) |
Malnutrition Screening Tool (MST)[21] |
Malnutrition Universal Screening Tool (MUST) |
Mini Nutrition Assessment (MNA) |
Nutrition Risk Classification (NRC) |
Nutritional Risk Index (NRI) |
Nutrition Risk Assessment (NRS-2022) |
Short Nutrition Assessment Questionnaire (SNAQ) |
Project: Elevating the Importance of Malnutrition Screening on the Surgical Unit
Objective of this PDSA cycle: Test an intervention to improve rates of completion of malnutrition screening using a validated tool for all admitted adult patients.
Questions: What is the biggest reason that malnutrition screening isn’t completed within 24 hours of admission?
Predictions: Educating the nursing staff on the importance of malnutrition screening will improve the rates of completion.
Plan for change: In the baseline data collection and workflow assessment phase, the project team learned that the nurses on the surgical unit did not realize that completing the malnutrition screening was a required component of the admissions process. Further, the project team member from that unit reported that staff members were not aware that completion of the screening was the trigger in the EHR to automatically consult a dietician for a full nutrition assessment. This project will test the success of a nursing unit-based in-service educating the nursing teams on the importance of completing the malnutrition screening in the EHR upon admission to a unit.
Carry out the change: Develop education & training materials and train each nursing unit educator on the materials.
Complete analysis of data
Verify predictions
Identify actions
Patient Population
Surgery, Geriatric, Oncology, Renal.
Nutrition Assessment Parameters
Includes medical history (weight, intake, GI symptoms, functional capacity) and physical examination.
Criteria for Risk of Malnutrition
Categorizes patients as:
More Info
Subjective Global Assessment (SGA)
Patient Population
Oncology, Renal, Stroke.
Nutrition Assessment Parameters
Includes medical history (weight, intake, GI symptoms, functional capacity) and physical examination.
Criteria for Risk of Malnutrition
Categorizes patients as:
Also provides a numerical score for triaging. Global categories assessed as per SGA.
More Info
Patient Generated Subjective Global Assessment (PG-SGA)
Patient Population
Adult, Elderly, Pediatric.
Nutrition Assessment Parameters
Criteria for Risk of Malnutrition
Used for comprehensive assessment especially for micronutrients as the SGA does not assess micronutrients.
Incorporate the assessment of fat and muscle loss.
More Info
Project: Increase efficiency of the RDN workflow.
Objective of this PDSA cycle: Analysis of assessment completion data showed that some patients with short lengths of stay were being discharged prior to the completion of the nutrition assessment. The objective of this cycle is to provide RDNs with better information on the patients needing a nutrition assessment so that they can prioritize which patients to see first to ensure all patients needing an assessment receive one prior to discharge.
Questions: 1. Does providing RDNs with better, more timely information about the patients who need an assessment improve the efficiency of their workflow? 2. What are the key data points needed for RDNs to triage and assess ?
Predictions:Creating a report identifying key patient data that RDNs can run at the beginning of their shift will result in fewer patients discharged prior to the completion of a nutrition assessment.
Plan for change: Who, what, when, where
Collaborate with representatives from the RDN team and the hospital IT team to design the report and process.
Plan for data collection: Who, what, when, where
Carry out the change:
Complete analysis of data
Identify actions
Providers should select appropriate diagnosis codes to document a malnutrition-related diagnosis in patients’ medical records or in the EHR. The table below provides a list of codes providers can use to indicate a patient’s malnutrition status. However, this is not an exhaustive list and users should verify most recent diagnosis codes from available sources. To determine which codes will also satisfy requirements for the Global Malnutrition Composite Score eCQM, see the Commission on Dietetic Registration’s GMCS resource webpage.
238107002 | Deficiency of macronutrients (disorder) |
272588001 | Malnutrition (calorie) |
190606006 | Moderate protein energy malnutrition (disorder) |
65404009 | Undernutrition – Malnutrition |
70241007 | Nutritional Deficiency – Malnutrition |
238111008 | Deficiency of micronutrients (disorder) |
E43 | Unspecified severe protein-calorie malnutrition |
E44.0 | Moderate protein-calorie malnutrition |
E46 | Unspecified protein-calorie malnutrition |
R64 | Cachexia |
Note: Bolded codes are those most commonly used to indicate a patient’s malnutrition status as they specify severity of illness. However, the selection of diagnosis codes is based on a dietitian or physician assessment of individual patients.
Project: Malnutrition Quality Improvement Initiative
Objective of this PDSA cycle: Test whether a new process using an EHR communication feature will result in higher rates of malnourished patients receiving a formal malnutrition medical diagnosis.
Questions: Will all patients age 65+ years identified as malnourished via a malnutrition assessment receive a malnutrition diagnosis?
Predictions: All patients age 65+ years identified as malnourished will receive a malnutrition diagnosis
Plan for change: Who, what, when, where
The project team will education dieticians on the process change.
Plan for data collection: Who, what, when, where
Carry out the change: Collect data and begin analysis
Complete analysis of data
Verify predictions
Identify actions
The components highlighted below should be included in any malnutrition care plan developed by the dietitian. Users may print the table below to serve as a malnutrition care plan template or use the content to develop their own malnutrition care plans.
Date and time stamp |
Prioritization based on symptom severity |
Clearly established goals developed in consultation with the patient and/or caregiver |
Goals and prescription that consider a patient’s individualized recommended dietary intake |
The prescribed treatment/intervention, which may include the following:
|
Identification of members of the care team |
Timeline for patient follow-up, including recommendations for the attending physician regarding post-discharge planning |
Project: Malnutrition Quality Improvement Initiative
Objective of this PDSA cycle: Test the impact of a change in the EHR configuration to ensure that the malnutrition care plan carries through to orders for patient care.
Questions: Will updating the EHR to remind providers to co-sign RDN orders for nutrition interventions positively impact the rate at which care plans are carried out?
Predictions: Automatically reminding providers to co-sign orders will result in orders flowing through to the task lists and care plans for the appropriate care team members, which will increase the rate at which interventions are carried out.
Plan for change: Who, what, when, where
In conversations with care team members, it was determined that nutrition interventions, though documented in the RDN notes, did not always flow over to the nursing, occupational therapy, or dietary team’s task lists. This change will provide a prompt in the EHR for the attending physician/provider team to co-sign orders from the RDN so that those orders will flow onto those team’s tasks lists.
Plan for data collection: Who, what, when, where
Carry out the change: Collect data and begin analysis
Complete analysis of data
Verify predictions
Identify actions
A) Responsible team member
B) Definition
c) Data sources/tools[1]
D) Data to collect and record
E) Monitoring and evaluation Steps
F) Decision points for continuation of care
Project: Malnutrition Quality Improvement Initiative
Objective of this PDSA cycle: Test the inclusion of malnutrition related components in the discharge planning for all patients age 65+ years diagnosed as malnourished
Questions: Will all patients age 65+ years with a malnutrition diagnosis have malnutrition related recommendations and orders included in their discharge plan?
Predictions: All patients age 65+ years with a malnutrition diagnosis will have malnutrition components included in their discharge plan
Plan for change: Who, what, when, where
Include malnutrition-specific discharge materials tailored to the individual patient in the patient’s overall discharge materials for all eligible patients age 65+ years with a malnutrition diagnosis
Plan for data collection: Who, what, when, where
Carry out the change: Collect data and begin analysis
Complete analysis of data
Verify predictions
Identify actions
If other information is needed or desired regarding any of the best practices highlighted on the previous pages, please refer to the clinical guidance documents for nutrition care listed below. They contain the relevant information on the most recent standards of nutrition care:
On this page:
MQii Toolkit:
These materials were developed by the Malnutrition Quality Improvement Initiative (MQii),
a project of the Academy of Nutrition and Dietetics, Avalere, and other stakeholders who
provided guidance and expertise through a collaborative partnership. Support provided by Abbott.
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