“It is not rocket science..” – Older peoples’ understanding of nutrition – A qualitative study

Terp, Rikke; Kayser, Lars; Lindhardt, Tove

doi:10.1016/j.appet.2020.104854

Cited by 20 publications

(30 citation statements)

References 38 publications

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“…A high score is a more desirable trait. The heiQ3, heiQ4, heiQ5, heiQ8, HLQ1, HLQ4, and eHLQ2 scores have been reported previously [ 26 ]. b Mann-Whitney U test.…”

Section: Resultssupporting

confidence: 59%

“…Further patient characteristics are summarized in Table 2 . The results in Table 2 , except for those related to digital use, were previously reported [ 26 ].…”

Section: Resultssupporting

confidence: 54%

“…The overall design has been reported elsewhere [ 26 ]. Briefly, this report builds on field studies that addressed older patients’ competencies, preferences, and attitudes toward food and technology.…”

Section: Methodsmentioning

confidence: 99%

“…Briefly, this report builds on field studies that addressed older patients’ competencies, preferences, and attitudes toward food and technology. The focus on nutrition and food has been reported previously [ 26 ]. We here report our findings in relation to the technology perspective.…”

Section: Methodsmentioning

confidence: 99%

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Older Patients’ Competence, Preferences, and Attitudes Toward Digital Technology Use: Explorative Study

Terp¹,

Kayser²,

Lindhardt³

2021

JMIR Hum Factors

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Background Malnutrition is prevalent in older patients, which is associated with severe consequences such as a decline in functional status, increased risk of readmission, and increased mortality. A tablet-based eHealth solution (Food‘n’Go) was recently developed and introduced at our clinic to support older patients’ involvement in nutritional interventions during their hospitalization, thereby enhancing their awareness and motivation for choosing the right food to obtain sufficient calorie and protein intake. To reap the full benefits from the eHealth solution, the technology should be introduced and accompanied by support that targets the end users’ competence level and needs. Objective In this study, we aimed to explore older patients’ readiness (ie, competence, preferences, and attitudes) toward the use of information and communication technology (ICT), and to identify the factors that may act as barriers or facilitators for their engagement with health technology. Methods A descriptive and explorative study was performed using triangulation of data derived from semistructured interviews and questionnaires (based on the Readiness and Enablement Index for Health Technology [READHY] instrument). Older hospitalized patients (age ≥65 years; N=25) were included from two hospitals in Denmark. Results The majority (16/25, 64%) of the older patients (median age 81 years) were users of ICT. The qualitative findings revealed that their experiences of benefits related to the use of ICT facilitated usage. Barriers for use of ICT were health-related challenges, limited digital literacy, and low self-efficacy related to ICT use due to age-related prejudices by their relatives and themselves. The qualitative findings were also reflected in the low median scores on the eHealth Literacy Questionnaire (eHLQ) READHY scales within dimensions addressing the user’s knowledge and skills (eHLQ1:1.8; eHLQ3: 2.0), and the user experience (eHLQ6: 2.0; eHLQ7: 1.5). Conclusions Older patients are potential users of ICT, but experience a variety of barriers for using eHealth. When introducing older patients to eHealth, it is important to emphasize the possible benefits, and to offer support targeting their knowledge, skills, and motivation.

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“…A high score is a more desirable trait. The heiQ3, heiQ4, heiQ5, heiQ8, HLQ1, HLQ4, and eHLQ2 scores have been reported previously [ 26 ]. b Mann-Whitney U test.…”

Section: Resultssupporting

confidence: 59%

“…Further patient characteristics are summarized in Table 2 . The results in Table 2 , except for those related to digital use, were previously reported [ 26 ].…”

Section: Resultssupporting

confidence: 54%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Older Patients’ Competence, Preferences, and Attitudes Toward Digital Technology Use: Explorative Study

Terp¹,

Kayser²,

Lindhardt³

2021

JMIR Hum Factors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Qualitative methods are inductive, allowing researchers to understand participant values, motives, and behaviours, generating original concepts and exploring themes rather than using a deductive approach with predetermined variables to investigate a population of interest [61,62]. A 2020 study by Terp et al examined older patient's knowledge, skills and behaviour in order to understand their attitudes towards managing their nutritional needs [63]. The study consisted of both qualitative and quantitative sections [63].…”

Section: Summary Of Evidencementioning

confidence: 99%

Psycho-Behavioural Segmentation in Food and Nutrition: A Systematic Scoping Review of the Literature

et al. 2021

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Inadequate dietary intakes are a key modifiable risk factor to reduce the risk of developing non-communicable diseases. To encourage healthy eating and behaviour change, innovative public health interventions are required. Social marketing, in particular segmentation, can be used to understand and target specific population groups. However, segmentation often uses demographic factors, ignoring the reasons behind why people behave the way they do. This review aims to explore the food and nutrition related research that has utilised psycho-behavioural segmentation. Six databases from were searched in June 2020. Inclusion criteria were: published 2010 onwards, segmentation by psycho-behavioural variables, outcome related to food or nutrition, and healthy adult population over 18 years. 30 studies were included; most were quantitative (n = 28) and all studies used post-hoc segmentation methods, with the tools used to segment the population varying. None of the segments generated were targeted in future research. Psycho-behavioural factors are key in understanding people’s behaviour. However, when used in post-hoc segmentation, do not allow for effective targeting as there is no prior understanding of behaviours that need to change within each segment. In future, we should move towards hybrid segmentation to assist with the design of interventions that target behaviours such as healthy eating.

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Fibre4life: Investigating older adults dietary fibre preferences and the role of targeted educational materials on modulating future dietary fibre intake

Norton,

Lovegrove,

Tindall

et al. 2024

Appetite

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“It is not rocket science..” – Older peoples’ understanding of nutrition – A qualitative study

Cited by 20 publications

References 38 publications

Older Patients’ Competence, Preferences, and Attitudes Toward Digital Technology Use: Explorative Study

Older Patients’ Competence, Preferences, and Attitudes Toward Digital Technology Use: Explorative Study

Psycho-Behavioural Segmentation in Food and Nutrition: A Systematic Scoping Review of the Literature

Fibre4life: Investigating older adults dietary fibre preferences and the role of targeted educational materials on modulating future dietary fibre intake

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