Economic Burden of Community‐Based Disease‐Associated Malnutrition in the United States

Snider, Julia Thornton; Linthicum, Mark T.; Wu, Yanyu; LaVallee, Chris; Lakdawalla, Darius N.; Hegazi, Refaat; Matarese, Laura E.

doi:10.1177/0148607114550000

Cited by 70 publications

(66 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, malnutrition has been associated with increased healthcare-associated costs including longer hospital length of stay (LOS) and increased rates of major and minor complications [9]. Looking at just eight diseases (chronic obstructive pulmonary disease [COPD], coronary artery disease, breast cancer, colorectal cancer, depression, dementia, stroke, and musculoskeletal disorders), the economic burden of their associated malnutrition has been estimated to be around US $157 billion, with COPD having the highest economic burden out of those [10]. Additionally, malnourished patients have a longer LOS at healthcare facilities by an average of 11 days.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, disease-associated malnutrition results in an increased number of missed days from work and therefore lower economic productivity [14]. Indirect costs related to care provided by family members and the subsequent effect on their socioeconomic activities cannot be accurately determined [10]. Nevertheless, the impact of malnutrition on our society is substantial, and accurate diagnostic measures are necessary to identify those at risk.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Malnutrition: laboratory markers vs nutritional assessment

Bharadwaj

Ginoya

Tandon

et al. 2016

Gastroenterol. Rep.

297

262

View full text Add to dashboard Cite

Malnutrition is an independent risk factor for patient morbidity and mortality and is associated with increased healthcare-related costs. However, a major dilemma exists due to lack of a unified definition for the term. Furthermore, there are no standard methods for screening and diagnosing patients with malnutrition, leading to confusion and varying practices among physicians across the world. The role of inflammation as a risk factor for malnutrition has also been recently recognized. Historically, serum proteins such as albumin and prealbumin (PAB) have been widely used by physicians to determine patient nutritional status. However, recent focus has been on an appropriate nutrition-focused physical examination (NFPE) for diagnosing malnutrition. The current consensus is that laboratory markers are not reliable by themselves but could be used as a complement to a thorough physical examination. Future studies are needed to identify serum biomarkers in order to diagnose malnutrition unaffected by inflammatory states and have the advantage of being noninvasive and relatively cost-effective. However, a thorough NFPE has an unprecedented role in diagnosing malnutrition.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Malnutrition: laboratory markers vs nutritional assessment

Bharadwaj

Ginoya

Tandon

et al. 2016

Gastroenterol. Rep.

297

262

View full text Add to dashboard Cite

show abstract

“…The total economic burden of disease‐associated malnutrition in the US is approximately $157 billion annually . Among older adults in the US, malnutrition affects an estimated 3 million individuals and is associated with functional decline, decreased quality of life, and mortality .…”

mentioning

confidence: 99%

“…T he total economic burden of disease-associated malnutrition in the US is approximately $157 billion annually. 1 Among older adults in the US, malnutrition affects an estimated 3 million individuals and is associated with functional decline, decreased quality of life, and mortality. [2][3][4] Despite the prevalence and burden of malnutrition among older adults and the availability of validated screening instruments, 5 screening is rarely conducted and malnutrition is rarely identified by healthcare providers.…”

mentioning

confidence: 99%

Risk Factors for Malnutrition among Older Adults in the Emergency Department: A Multicenter Study

Burks

Jones

Braz

et al. 2017

J American Geriatrics Society

View full text Add to dashboard Cite

Background Among older adults, malnutrition is common, often missed by healthcare providers, and influences recovery from illness or injury. Objective To identify modifiable risk factors associated with malnutrition in older patients. Design Prospective cross-sectional multicenter study Setting 3 EDs in the South, Northeast, and Midwest Participants Non-critically ill, English-speaking adults aged ≥65 years Measurements Random time block sampling was used to enroll patients. The ED interview assessed malnutrition using the Mini Nutritional Assessment Short-Form. Food insecurity and poor oral health were assessed using validated measures. Other risk factors examined included depressive symptoms, limited mobility, lack of transportation, loneliness, and medication side effects, qualified by whether the patient reported the risk factor affected their diet. The population attributable risk proportion (PARP) for malnutrition was estimated for each risk factor. Results In our sample (n=252), the prevalence of malnutrition was 12%. Patient characteristics associated with malnutrition included not having a college degree, being admitted to the hospital, and residence in an assisted living facility. Of the risk factors examined, the PARPs for malnutrition were highest for poor oral health (54%; 95% CI 16%, 78%), food insecurity (14%; 95% CI 3%, 31%), and lack of transportation affecting diet (12%; 95% CI 3%, 28%). Conclusion Results of this observational study identify multiple modifiable factors associated with the problem of malnutrition in older adults.

show abstract

“…We had to be flexible to some extent in our definitions of underweight and normal weight because to include only studies that adhered exactly to the WHO definition of underweight (BMI ࣘ 18.5) or normal weight (18.5 > BMI < 25.0) would have meant excluding vast swaths of valuable information. We used recently published studies that estimated the economic burden of malnutrition 1,[8][9][10] to identify a group of diseases or diagnoses for our study on underweight. However, any errors of omission of certain other diseases (due to data constraints on the cost side) related to being underweight would mean that we have underestimated or maybe even overestimated (if protective) the considerable burden of disease from underweight.…”

Section: Discussionmentioning

confidence: 99%