| Literature DB >> 31094333 |
Mari Mohn Paulsen1,2, Cecilie Varsi3, Ingvild Paur1, Randi Julie Tangvik4, Lene Frost Andersen2.
Abstract
BACKGROUND: Disease-related malnutrition is a challenge among hospitalized patients. Despite guidelines and recommendations for prevention and treatment, the condition continues to be prevalent. The MyFood system is a recently developed decision support system to prevent and treat disease-related malnutrition.Entities:
Keywords: decision support systems, clinical; eHealth; implementation science; malnutrition; qualitative research
Year: 2019 PMID: 31094333 PMCID: PMC6532341 DOI: 10.2196/11890
Source DB: PubMed Journal: JMIR Form Res ISSN: 2561-326X
Figure 1Patient flow from hospitalization, identification of malnutrition risk, and use of the MyFood system.
Figure 2Dietary assessment in the MyFood app and evaluation of dietary intake compared with individual needs.
Figure 3Overview of the Consolidated Framework for Implementation Research. The analyzed data were sorted into 22 constructs (red boxes) for the assessment of current practices and the identification of barriers and facilitators. Data for the remaining constructs (white boxes) could not be obtained.
Characteristics of the nurses in the 4 focus group discussions.
| Characteristic | FGDa 1 (n=4) | FGD 2 (n=4) | FGD 3 (n=7) | FGD 4 (n=5) | |
| Male | 1 | 1 | 0 | 0 | |
| Female | 3 | 3 | 7 | 5 | |
| Mean | 32 | 27 | 29 | 31 | |
| Range | 26-39 | 26-30 | 25-38 | 25-36 | |
| <4 years | 0 | 3 | 2 | 1 | |
| ≥4 years | 4 | 1 | 5 | 4 | |
aFGD: focus group discussion.
Potential barriers and facilitators for use of the MyFood system, identified in stakeholder focus group discussions and semistructured interviews.
| CFIRa domain | Barriers | Facilitators |
| Intervention characteristics | Lack of automatic transfer to the electronic patient record; Hygienic aspects of using tablet computers among the patients; Potentially demotivational for patients who strive to meet their dietary needs | More trustworthy, systematic, fun, and easy to use than the current practice; May increase awareness on nutritional care and treatment; Positive attitudes among health care providers to test the MyFood tool in an intervention study; Intuitive, neat, and user-friendly design |
| Outer setting | Lack of current routines for screening for malnutrition risk; Nurses’ perceptions of nagging patients regarding food intake; Different cultural backgrounds among patients; Language barriers among non-native patients; Patients fasting before surgery or medical examinations; Elderly patients not familiar with tablet computers | Potentially earlier implementation of nutritional treatment among the patients; Empowerment of patients in the recording of dietary intake |
| Inner setting | Ambiguity among health care providers who have the primary responsibility for nutritional care and treatment; Prejudices among some physicians regarding the role of nutrition in the treatment process; Diverging focus between different health care providers, which may confuse the patients; Lack of culture and specific routines for nutritional care; Weak foundation on nutritional care among management; Limited availability of computers to use the MyFood report function; Limited available time | High stability in the departments’ staff of health care professionals; Good cooperation between health care professionals; Assumptions among nurses regarding the importance of nutrition; Desire among nurses for better tools for dietary assessment and follow-up; Potentially time saving if nurses do not have to do manual calculations of dietary intake themselves |
| Individual characteristics | —b | Perceived self-efficacy among nurses in the ability to use the MyFood tool. |
aCFIR: Consolidated Framework for Implementation Research.
bNot applicable.