Applied nutritional investigationNurses’ knowledge about malnutrition in older people: A multicenter cross-sectional study
Introduction
According to the Global Leadership Initiative on Malnutrition (GLIM), malnutrition is defined by both phenotypic (weight loss, low body mass index [BMI], and reduced muscle mass) and etiologic criteria (reduced food intake or assimilation and inflammation) [1].
Older people have a higher risk for malnutrition. Factors influencing this risk are poor nutritional intake, decay of general conditions, loss of appetite, chewing difficulties, infections, pain, fatigue, loneliness or depression, and changes in their gastrointestinal tract and in their metabolism and production of hormones. Multiple diseases and multiple drugs, specifically analgesics and antibiotics, also affect this risk [2]. A recent systematic review found a 22% prevalence rate of malnutrition among older people in hospitals, 17.5% in nursing homes, and 8.7% in home care [3]. A study among older people in Italian hospitals showed that 20% were malnourished and 50% were at risk for malnutrition [4].
Malnutrition consequences are manifold. Malnutrition does not only lead to decreased quality of life and autonomy in everyday activities of the affected individual, it also increases the risk for bone fractures, the rates of pressure ulcers, and the susceptibility to infections. Malnourished older people have a longer healing time for ulcers, which leads to longer hospital stays, higher social costs, and higher mortality rates [5], [6], [7], [8], [9].
To prevent the serious consequences of malnutrition, a potential malnutrition risk needs to be assessed early and adequate interventions should be initiated [10]. Nevertheless, some studies showed that nutritional care in health care institutions is not adequate [11,12]. Proper nutritional care is affected by many factors such as the availability of guidelines, the education and knowledge of health care staff [13], [14], [15], [16], and the patient-to-staff ratio [17,18]. Several authors have pointed out that knowledge and attitudes of health care staff play a fundamental role in the provision of adequate nutritional care [13,[19], [20], [21]]. However, many studies shown that nurses have an inadequate knowledge about nutritional problems [4,18,22].
In international literature, several questionnaires are available for the measurement of knowledge among nursing staff. The Knowledge of Malnutrition–Geriatric (KoM-G) questionnaire had systematically been developed and psychometrically tested and is intended to measure nurses’ knowledge in nursing homes [22,23]. In 2015, Bauer-Schönherr et al, reported that 60% of registered nurses (RNs) and nurse assistants answered the KoM-G questionnaire correctly [22,23]. Results showed a significant difference in knowledge between RNs and nurse assistants (65.6% of RNs correctly answered the KoM-G questionnaire). Furthermore, nursing staff with training in nutrition had significantly better knowledge (65.2% of correct answers) than nursing staff without training in nutrition (59.6% of correct answers) [22,23]. The questions with the lowest percentage of correct answers were related to the health professional's involvement in malnutrition care, which obtained only 26.1% correct answers, and about the “normal” healthy BMI in older residents, which obtained 31.6% correct answers. The percentage of correct answers and median values did not differ significantly regarding sex, age, and years of working experience [22]. Literature explained that a lack of knowledge of the important concepts of malnutrition can lead to an underestimation of the phenomenon and to behaviors that do not prevent the onset of malnutrition. Therefore, it is important to measure the level of the health professional's knowledge on these matters to implement targeted training interventions and, therefore, to promote better care [24,25].
To our knowledge, there are no validated tools that can investigate nurses’ knowledge in different care settings in Italy. Therefore, this study aimed to translate and validate the KoM-G to the Italian language and to investigate malnutrition knowledge of RNs working in different health care settings in Italy.
Section snippets
Participants and clinical settings
This multicenter cross-sectional study enrolled a convenience sample of RNs working in a large general hospital, two home care agencies, a residence for older individuals, and a rehabilitation center in the north of Italy. Medical, surgical, rehabilitation, intensive care, outpatient, palliative care, nursing home, and home care nurses were included. The inclusion criteria were met if the RNs were working for >6 mo.
Description of the tool
Knowledge was measured using the KoM-G questionnaire. The KoM-G questionnaire
Sample characteristics
The questionnaire was administered to 535 RNs. Of these nurses, 513 completed the personal data sheet and the Kom-G ITA questionnaire. Two tests were excluded from the analysis because <80% of the questions were answered. Forty-three RNs were test–retested.
The sample included 127 men (24.7%) and 386 women (75.3%), with the mean age being 37 ± 10 y. Ninety-three RNs worked in surgical areas (18.1%), 157 in medical areas (30.6%), 79 in critical areas (15.4%), 40 in home care (7.8%), 50 in nursing
Discussion
This study aimed to translate and validate the KoM-G to the Italian language and to investigate malnutrition knowledge of RNs working in different health care settings. The KoM-G ITA questionnaire was translated, adapted, and validated in the Italian language and demonstrated an excellent validity of content (I-CVI, 0.93–1; S-CVI, 0.99), an excellent internal consistency (α = 0.914), and a good interrater reliability (ICC, 0.981; P < 0.0001). Item 1 (ICC, 0.413) and item 2 (ICC, 0.280) did not
Conclusions
Nurses in Italy showed a similar level of knowledge compared with other international studies. There remains a lack of knowledge in some areas, such as nutritional status assessment. This needs to be considered because screening is the first step in identifying patients who are malnourished. The implementation of malnutrition screening tools combined with educational interventions in clinical practice, with the aim of identifying individuals at risk earlier, makes improving the awareness of
Declaration of interests
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
The authors acknowledge Vincenza Aloia, Carla Arlati, Marisa Brivio, Chiara Cartabia, Anna Rita la Torre, Tamara Recagno, Stefania Rippa, Elena Signorini, and Maria Pia Taurisano of the University of Milan, School of Nursing at Niguarda Hospital of Milan for their valuable collaboration. They also acknowledge the nursing directors for authorizations and collaboration.
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All authors conceived of and designed the study and critically revised the manuscript. BB and VT were responsible for data collection, writing the manuscript, and providing administrative, technical, or material support. BB, LB, and VT were responsible for the analysis and interpretation of data. BB and LB were responsible for statistical expertise. SB and MA were responsible for supervision. The authors have no conflicts of interest to declare.