A digital dietary assessment tool may help identify malnutrition and nutritional deficiencies in hospitalized patients
Autor: | Lauren Rhee, Dina Aronson, Adam M. Bernstein, Randall Moore, David L. Katz |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
Dietary assessment Hospitalized patients business.industry Science digital health malnutrition nutritional deficiency General Medicine medicine.disease Digital health Malnutrition Diet Quality Photo Navigation health care costs medicine hospital Intensive care medicine business Nutritional deficiency |
Zdroj: | Research Ideas and Outcomes, Vol 7, Iss, Pp 1-14 (2021) |
ISSN: | 2367-7163 |
Popis: | Malnutrition is common among hospitalized patients and associated with longer hospital stays, higher rates of rehospitalization, and increased mortality. Validated questionnaires of varying sensitivity and specificity to help identify patients at risk of malnutrition have been developed, but none has been broadly adopted. Tools to identify patients at risk for malnutrition should be quick, inexpensive, easy to administer and use, not require specialized nutrition knowledge, and provide results which can be entered into an electronic medical record; ideally, the tool should be deployed within 24 hours of admission and repeated if warranted. We hypothesize that a novel digital nutrition assessment tool which uses the Diet Quality Photo Navigation (DQPN) method, can help triage hospitalized patients toward further evaluation of nutritional status. We further propose that micronutrient deficiencies may be identified at the same time as malnutrition and that the reimbursement and cost savings from DQPN will prove substantially greater than the combined costs of its use and triggered dietitian consult. Deploying DQPN upon admission will represent an addition to standard hospital intake procedure that is frictionless for patients and health professionals, and one which may be overseen by clerical rather than clinical staff. The digital format of DQPN, which can be integrated into electronic medical records, will facilitate easier tracking and management of nutritional status over the course of hospitalization and post-discharge. To evaluate the hypotheses, DQPN will be deployed in a hospital setting to a group of patients who will also be seen by a registered dietitian to assess the nutritional status of each patient. Receiver operating characteristic curves will determine the point, or criterion, at which maximal true positivity rate and least false positivity rate for a diagnosis of malnutrition and specific nutrient deficiencies align. The study cohort will also be compared to a matched historical cohort to compare total medical spend and reimbursement between the intervention cohort and matched control. Testing of these hypotheses will thus allow for insight into whether DQPN may be used to identify malnutrition and nutrient deficiencies in hospitalized patients and, in so doing, improve patient outcomes, reduce healthcare utilization, and bring financial benefit to hospitals. |
Databáze: | OpenAIRE |
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