A retrospective study of the incidence and characteristics of long-stay adult inpatients with hospital-acquired malnutrition across five Australian public hospitals

Hospital-acquired malnutrition: point prevalence, risk identifiers and utility of a digital Dashboard to identify high-risk, long-stay patients in five Australian facilities

BACKGROUND

There are limited hospital-acquired malnutrition (HAM) studies among the plethora of malnutrition literature, and a few studies utilise electronic medical records to assist with malnutrition care. This study therefore aimed to determine the point prevalence of HAM in long-stay adult patients across five facilities, whether any descriptors could assist in identifying these patients and whether a digital Dashboard accurately reflected 'real-time' patient nutritional status.

METHODS

HAM was defined as malnutrition first diagnosed >14 days after hospital admission. Eligible patients were consenting adult (≥18 years) inpatients with a length of stay (LOS) >14 days. Palliative, mental health and intensive care patients were excluded. Descriptive, clinical and nutritional data were collected, including nutritional status, and whether a patient had hospital-acquired malnutrition to determine point prevalence. Descriptive Fisher's exact and analysis of variance (ANOVA) tests were used.

RESULTS

Eligible patients (n = 134) were aged 68 ± 16 years, 52% were female and 92% were acute admissions. HAM and malnutrition point prevalence were 4.5% (n = 6/134) and 19% (n = 26/134), respectively. Patients with HAM had 72 days greater LOS than those with malnutrition present on admission (p < 0.001). A high proportion of HAM patients were inpatients at a tertiary facility and longer-stay wards. The Dashboard correctly reflected recent ward dietitian assessments in 94% of patients at one facility (n = 29/31).

CONCLUSIONS

HAM point prevalence was 4.5% among adult long-stay patients. Several descriptors may be suitable to screen for at-risk patients in future studies. Digital Dashboards have the potential to explore factors related to HAM.

Incidence and outcomes of in-hospital nutritional decline: A prospective observational cohort study in adult patients

BACKGROUND AND AIMS

Hospital malnutrition is associated with higher healthcare costs and worse outcomes. Only a few prospective studies have evaluated trends in nutritional status during an acute stay, but these studies were limited by the short timeframe between nutrition assessments. The aim of this study was to investigate changes in nutritional status, incidence of hospital-acquired malnutrition (HAM), and the associated risk factors and outcomes in acute adult patients admitted for >14 days.

METHODS

A prospective observational cohort study was conducted in two medical and two surgical wards in a tertiary hospital in Brisbane, Australia. Nutrition assessments were performed using the Subjective Global Assessment at baseline (day eight) and weekly until discharge. Nutritional decline was defined as a change from well-nourished to moderate/severe malnutrition (HAM) or from moderate to severe malnutrition (further decline) >14 days after admission.

RESULTS

One hundred and thirty patients were included in this study (58.5% male; median age 67.0 years (IQR 24.4), median length of stay 23.5 days (IQR 14)). At baseline, 70.8% (92/130) of patients were well-nourished. Nutritional decline occurred in 23.8% (31/130), with 28.3% (26/92) experiencing HAM. Of the patients with moderate malnutrition on admission (n = 30), 16% (5/30) continued to decline to severe malnutrition. Improvement in nutritional status from moderate and severe malnutrition to well-nourished was 18.4% (7/38). Not being prescribed the correct nutrition care plan within the first week of admission was an independent predictor of in-hospital nutritional decline or remaining malnourished (OR 2.3 (95% CI 1.0-5.1), p = 0.039). In-hospital nutritional decline was significantly associated with other hospital-acquired complications (OR 3.07 (95% CI 1.1-8.9), p = 0.04) and longer length of stay (HR 0.63 (95% CI 0.4-0.9), p = 0.044).

CONCLUSION

This study found a high rate of nutritional decline in acute patients, highlighting the importance of repeated nutrition screening and assessments during hospital admission and proactive interdisciplinary nutrition care to treat or prevent further nutritional decline.

Malnutrition in older adults

Malnutrition is a highly prevalent condition in older adults, and poses a substantial burden on health, social, and aged-care systems. Older adults are vulnerable to malnutrition due to age-related physiological decline, reduced access to nutritious food, and comorbidity. Clinical guidelines recommend routine screening for malnutrition in all older adults, together with nutritional assessment and individually tailored nutritional support for older adults with a positive screening test. Nutritional support includes offering individualised nutritional advice and counselling; oral nutritional supplements; fortified foods; and enteral or parenteral nutrition as required. However, in clinical practice, the incorporation of nutritional guidelines is inadequate and low-value care is commonplace. This Review discusses the current evidence on identification and treatment of malnutrition in older adults, identifies gaps between evidence and practice in clinical care, and offers practical strategies to translate evidence-based knowledge into improved nutritional care. We also provide an overview of the prevalence, causes, and risk factors of malnutrition in older adults across health-care settings.

Incidence and criteria used in the diagnosis of hospital-acquired malnutrition in adults: a systematic review and pooled incidence analysis

Despite advances in identifying malnutrition at hospital admission, decline in nutritional status of well-nourished patients can be overlooked. The aim of this systematic review was to investigate the incidence of hospital-acquired malnutrition (HAM), diagnostic criteria and health-related outcomes. PubMed, CINAHL, Embase and Cochrane Library were searched up to July 2021. Studies were included if changes in nutritional status was assessed with a validated nutrition assessment tool in acute and subacute adult (≥18 yrs) hospitalised patients. A random-effects method was used to pool the incidence proportion of HAM in prospective studies. The certainty of evidence was appraised using the Grading of Recommendation Assessment, Development and Evaluation system. We identified 12 observational cohort studies (10 prospective and 2 retrospective), involving 35,324 participants from acute (9 studies) and subacute settings (3 studies). Retrospective studies reported a lower incidence of HAM (<1.4%) than prospective studies (acute: 9-38%; subacute: 0-7%). The pooled incidence of HAM in acute care was 25.9% (95% confidence interval (CI): 17.3-34.6). Diagnostic criteria varied, with use of different nutrition assessment tools and timeframes for assessment (retrospective studies: >14 days; prospective studies: ≥7 days). Nutritional decline is probably associated with longer length of stay and higher 6-month readmission (moderate certainty of evidence) and may be association with higher complications and infections (low certainty of evidence). The higher incidence of HAM in the acute setting, where nutritional assessments are conducted prospectively, highlights the need for consensus regarding diagnostic criteria and further studies to understand the impact of HAM.

Prevalence of hospital-acquired malnutrition and modifiable determinants of nutritional deterioration during inpatient admissions: A systematic review of the evidence

BACKGROUND

Malnutrition affects between 20% and 50% of hospital inpatients on admission, with further declines expected during hospitalisation. This review summarises the existing literature on hospital-acquired malnutrition that examines the magnitude of nutritional deterioration amongst adult inpatients and identifies preventable barriers to optimising nutrition support during episodes of care.

METHODS

A systematic review was conducted to answer the question: Among adult hospital inpatients, the presence of which modifiable factors contribute to hospital-acquired malnutrition? A database search was conducted between the 24 April and 30 June 2020 using CINAHL, MEDLINE, Scopus and PubMed databases according to a protocol registered with PROSPERO (CD42020182728). In addition, issues of the 10 top clinical nutrition journals published during the period of from 1 April 2015 to 30 March 2020 were hand-searched.

RESULTS

Fifteen articles were eligible for inclusion from a total of 5944 retrieved abstracts. A narrative synthesis of evidence was completed because of the high level of heterogeneity in methodologies. Nutritional deterioration is common among previously well-nourished and nutritionally compromised patients, with studies reporting that 10%-65% of patients experienced nutritional decline. Frequently reported barriers were mealtime interruptions, meal dissatisfaction, procedure-related fasting, effects of illness or treatment, chewing difficulties, poor appetite and malnutrition as a low clinical priority.

CONCLUSIONS

The findings of this review support the need for routine nutritional risk screening throughout each hospital admission with hospital-acquired malnutrition affecting up to 65% of inpatients. Clear establishment of the roles and responsibilities of each member within multidisciplinary healthcare teams in the provision of nutrition care and cost-benefit analyses are recommended to demonstrate the effectiveness of changes to models of care.

Malnutrition in Hospitalized Old Patients: Screening and Diagnosis, Clinical Outcomes, and Management

Malnutrition in hospitalized patients heavily affects several clinical outcomes. The prevalence of malnutrition increases with age, comorbidities, and intensity of care in up to 90% of old populations. However, malnutrition frequently remains underdiagnosed and undertreated in the hospital. Thus, an accurate screening to identify patients at risk of malnutrition or malnourishment is determinant to elaborate a personal nutritional intervention. Several definitions of malnutrition were proposed in the last years, affecting the real frequency of nutritional disorders and the timing of intervention. Diagnosis of malnutrition needs a complete nutritional assessment, which is often challenging to perform during a hospital stay. For this purpose, various screening tools were proposed, allowing patients to be stratified according to the risk of malnutrition. The present review aims to summarize the actual evidence in terms of diagnosis, association with clinical outcomes, and management of malnutrition in a hospital setting.

Testing the Accuracy of a Bedside Screening Tool Framework to Clinical Records for Identification of Patients at Risk of Malnutrition in a Rural Setting: An Exploratory Study

This study aimed to explore the diagnostic accuracy of the Patient-Generated Subjective Global Assessment (PG-SGA) malnutrition risk screening tool when used to score patients based on their electronic medical records (EMR), compared to bedside screening interviews. In-patients at a rural health service were screened at the bedside (n = 50) using the PG-SGA, generating a bedside score. Clinical notes within EMRs were then independently screened by blinded researchers. The accuracy of the EMR score was assessed against the bedside score using area under the receiver operating curve (AUC), sensitivity, and specificity. Participants were 62% female and 32% had conditions associated with malnutrition, with a mean age of 70.6 years (SD 14.9). The EMR score had moderate diagnostic accuracy relative to PG-SGA bedside screen, AUC 0.74 (95% CI: 0.59-0.89). The accuracy, specificity and sensitivity of the EMR score was highest for patients with a score of 7, indicating EMR screen is more likely to detect patients at risk of malnutrition. This exploratory study showed that applying the PG-SGA screening tool to EMRs had enough sensitivity and specificity for identifying patients at risk of malnutrition to warrant further exploration in low-resource settings.

[Risk of malnutrition in elderly patients in acute hospitals - implications for nursing practice]

Risk of malnutrition in elderly patients in acute hospitals - implications for nursing practice Abstract. Background: The risk of malnutrition is increased in advanced age and acute illness, and its assessment and needs-based support are part of the responsibility of nursing. Research question / objective: The following research question aims to analyse the nutritional status and possible correlations with nursing diagnoses and other patient characteristics from persons who are 80 years old and older: Which patterns in the sense of clusters can be identified concerning calorie and protein requirements and other patient characteristics?

METHODS

Explorative cross-sectional study with cluster analysis based on food intake protocols and nursing documentation. Patients from surgery, internal medicine and university acute geriatric care wards were included in this non-probability sample.

RESULTS

Four groups were formed out of the data from 135 patients (protein requirement coverage): Well-nourished (116 %), sufficiently-nourished (77 %), insufficiently-nourished (59 %) and poorly-nourished (40 %). A significant correlation between calorie and protein requirement coverage and treatment area has been shown.

CONCLUSIONS

The degree of coverage of protein- and energy requirement is related to the treatment area and consequently to its team culture and treatment concept. Based on the characteristics of the well-nourished, a positive effect of interprofessional cooperation and systematic recording of the risk of malnutrition, as implemented in the treatment area of acute geriatric care, might be concluded.

Development of a new tool to monitor and identify inadequate oral intake in hospital

BACKGROUND

There is a need for quick and easy methods to monitor nutritional intake in hospital and identify patients with poor intake. Food record charts are often used in clinical practice, with low levels of accuracy and completion. This study aims to describe the development and evaluate the performance of a new tool to estimate energy and protein intake and identify poor nutritional intake amongst adult hospital patients.

METHODS

Ninety trays were sampled and assessed independently using the new tool 'Meal Intake Points' and a weighed (reference) method. The performance was tested by measuring association (Spearman's correlation), agreement (proportion of meals within specified limits of reference method), and sensitivity and specificity to identify poor energy and protein intake.

RESULTS

This new tool achieved very strong association for energy estimates (r = .91) and strong association for protein estimates (r = .86). Estimates for energy and protein were within 450 kJ and 4.5 g of the reference method in 77.8% and 62.2% of meals, respectively. It also displayed excellent performance as a screening tool (sensitivity 100%; specificity 76%-80%). Minor revision of the original tool was needed to optimise performance.

CONCLUSIONS

Meal Intake Points accurately estimates energy and protein intake and identifies patients with poor nutritional intake, providing a clinically relevant tool for use in hospitals to monitor intake and identify patients for proactive nutrition support. Further validation studies are needed to determine its performance in clinical practice and whether it is useful in predicting hospital-acquired malnutrition.

Quality of nutritional care provided to patients who develop hospital acquired malnutrition: A study across five Australian public hospitals

BACKGROUND

Little is known about the nutritional care provided to patients who develop hospital acquired malnutrition (HAM). The present study aimed to describe the quality of nutritional care provided to patients who developed HAM and determine whether this differed by length of stay (LOS).

METHODS

A retrospective medical records audit was conducted on adults with LOS > 14 days across five Australian public hospitals from July 2015 to January 2019 who were clinically assessed to have HAM. Descriptors and nutrition-related care data were sourced. Descriptive statistics were conducted. Chi-squared and t-tests were used to compare patient data by LOS ≤ or > 50 days.

RESULTS

Eligible patients (n = 208) were 64% male, with median (range) LOS of 51 (15-354) days, body mass index = 26.8 ± 6.2 kg m^-2 and mean ± SD age of 65 ± 17 years. Malnutrition screening was first completed a median (range) of 0 (0-31) days after admission, with weekly screening conducted on 29% of patients. Mean (range) time to initial dietitian assessment was 9 (0-87) days and 27 (2-173) days until malnutrition diagnosis. Thirty-seven percent of patients were weighed within 24 h of a dietitian requesting it, and 51% had fluid retention that may have masked further weight loss. Most (91%) patients consumed < 80% of nutrition requirements for > 2 weeks. However, 54% did not receive additional nutrition support (e.g., enteral nutrition), which was not considered by the dietitian in 28% (n = 31/112) of these patients. Only 40% consumed adequate intake prior to discharge. Those with LOS > 50 days (50%, n = 104/208) took 24 days longer to be diagnosed with malnutrition and lost 2.4 kg more body weight during admission (p < 0.010).

CONCLUSIONS

Opportunities exist to optimise nutritional care to facilitate the prevention and management of hospital acquired malnutrition in long-stay patients.

Capitalising on opportunities: Malnutrition coding in hospital before and after the introduction of electronic health records with an embedded malnutrition screening tool

BACKGROUND AND AIMS

During conversion from paper to electronic documentation at a tertiary hospital, the Malnutrition Screening Tool was embedded into the electronic health record (e-HR) with nursing staff's completion continued as part of admission procedures with dietetic referrals automated. Currently, the impact of e-HR implementation on malnutrition identification is unknown. Consequently, this retrospective pre-test post-test study compared one year of malnutrition coding in a tertiary teaching hospital two years before and after e-HR implementation automating malnutrition screening referrals to dietitians with subsequent malnutrition assessment completion.

METHODS

Eligibility included adults (≥18yrs) admitted overnight or longer during the 2013/2014 and 2017/2018 financial years. Requested hospital data included demographics, admission data and coding for malnutrition and dietitian intervention. Eligible admissions prior to e-HR implementation were classified as pre-e-HR group, with admissions after classified as post-e-HR. Descriptive, Fisher's exact, Mann-Whitney U and independent samples t-tests were used to compare groups.

RESULTS

Patient admissions pre-e-HR (n = 37,143) and post-e-HR (n = 36,625) implementation were clinically similar in age, gender and length of stay (57 ± 19 years, 60% male, 3 (1-918) days). However, the numbers of admissions coded annually with malnutrition increased by 47% from 1436 to 2116 following e-HR implementation (p < 0.001). The proportion of eligible patients who were malnourished on admission and not seen by a dietitian during admission decreased one third from 6.5% to 4.8% (p = 0.042).

CONCLUSIONS

Malnutrition coding increased by 47% after an e-HR implementation with an embedded malnutrition screening tool that automated referrals to dietitians impacting the identification of care to optimize nutritional status.

Profiling Malnutrition Prevalence among Australian Rural In-Patients Using a Retrospective Census of Electronic Medical Files over a 12-Month Period

In-patient malnutrition leads to poor outcomes and mortality, and it is largely uninvestigated in non-urban populations. This study sought to: (1) retrospectively estimate the prevalence of malnutrition as diagnosed by dietetics in the rural Australian setting; (2) establish the proportion of all patients at “nutritional risk”; and (3) explore associations between demographic and clinical factors with malnutrition diagnosis and nutritional risk. A retrospective census was undertaken of medical files of all patients aged ≥18 years admitted to a rural hospital setting over a 12-month period. Logistic regression was used to explore associations between malnutrition diagnosis, nutritional risk and patient-related factors. In total, 711 admissions were screened during the 12-month period comprising 567 patients. Among the 125 patients seen by dietitians, 70.4% were diagnosed with malnutrition. Across the total sample, 77.0% had high levels of nutrition related symptoms warranting a need for further assessment by dietitians. Malnutrition diagnosis by dietitians was associated with being over the age of 65 years, and patients had higher odds of being admitted to a residential aged care facility following discharge. In this rural sample, the diagnosis rate of malnutrition appeared to be high, indicating that rural in-patients may be at a high risk of malnutrition. There was also a high proportion of patients who had documentation in their files that indicated they may have benefited from dietetic assessment and intervention, beyond current resourcing.