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Optimising an intervention to support home-living older adults at risk of malnutrition: a qualitative study
BACKGROUND: In the UK, about 14% of community-dwelling adults aged 65 and over are estimated to be at risk of malnutrition. Screening older adults in primary care and treating those at risk may help to reduce malnutrition risk, reduce the resulting need for healthcare use and improve quality of life...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580738/ https://www.ncbi.nlm.nih.gov/pubmed/34758733 http://dx.doi.org/10.1186/s12875-021-01572-z |
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author | Payne, Liz Ghio, Daniela Grey, Elisabeth Slodkowska-Barabasz, Joanna Harris, Philine Sutcliffe, Michelle Green, Sue Roberts, Helen C. Childs, Caroline Robinson, Sian Gudgin, Bernard Holloway, Pam Kelly, Jo Wallis, Kathy Dean, Oliver Aveyard, Paul Gill, Paramjit Stroud, Mike Little, Paul Yardley, Lucy Morrison, Leanne |
author_facet | Payne, Liz Ghio, Daniela Grey, Elisabeth Slodkowska-Barabasz, Joanna Harris, Philine Sutcliffe, Michelle Green, Sue Roberts, Helen C. Childs, Caroline Robinson, Sian Gudgin, Bernard Holloway, Pam Kelly, Jo Wallis, Kathy Dean, Oliver Aveyard, Paul Gill, Paramjit Stroud, Mike Little, Paul Yardley, Lucy Morrison, Leanne |
author_sort | Payne, Liz |
collection | PubMed |
description | BACKGROUND: In the UK, about 14% of community-dwelling adults aged 65 and over are estimated to be at risk of malnutrition. Screening older adults in primary care and treating those at risk may help to reduce malnutrition risk, reduce the resulting need for healthcare use and improve quality of life. Interventions are needed to raise older adults’ risk awareness, offer relevant and meaningful strategies to address risk and support general practices to deliver treatment and support. METHODS: Using the Person-based Approach and input from Patient and Public Involvement representatives, we developed the ‘Eat well, feel well, stay well’ intervention. The intervention was optimised using qualitative data from think aloud and semi-structured process evaluation interviews with 23 and 18 older adults respectively. Positive and negative comments were extracted to inform rapid iterative modifications to support engagement with the intervention. Data were then analysed thematically and final adjustments made, to optimise the meaningfulness of the intervention for the target population. RESULTS: Participants’ comments were generally positive. This paper focuses predominantly on participants’ negative reactions, to illustrate the changes needed to ensure that intervention materials were optimally relevant and meaningful to older adults. Key factors that undermined engagement included: resistance to the recommended nutritional intake among those with reduced appetite or eating difficulties, particularly frequent eating and high energy options; reluctance to gain weight; and a perception that advice did not align with participants’ specific personal preferences and eating difficulties. We addressed these issues by adjusting the communication of eating goals to be more closely aligned with older adults’ beliefs about good nutrition, and acceptable and feasible eating patterns. We also adjusted the suggested tips and strategies to fit better with older adults’ everyday activities, values and beliefs. CONCLUSIONS: Using iterative qualitative methods facilitated the identification of key behavioural and contextual elements that supported engagement, and issues that undermined older adults’ engagement with intervention content. This informed crucial revisions to the intervention content that enabled us to maximise the meaningfulness, relevance and feasibility of the key messages and suggested strategies to address malnutrition risk, and therefore optimise engagement with the intervention and the behavioural advice it provided. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-021-01572-z. |
format | Online Article Text |
id | pubmed-8580738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85807382021-11-12 Optimising an intervention to support home-living older adults at risk of malnutrition: a qualitative study Payne, Liz Ghio, Daniela Grey, Elisabeth Slodkowska-Barabasz, Joanna Harris, Philine Sutcliffe, Michelle Green, Sue Roberts, Helen C. Childs, Caroline Robinson, Sian Gudgin, Bernard Holloway, Pam Kelly, Jo Wallis, Kathy Dean, Oliver Aveyard, Paul Gill, Paramjit Stroud, Mike Little, Paul Yardley, Lucy Morrison, Leanne BMC Fam Pract Research BACKGROUND: In the UK, about 14% of community-dwelling adults aged 65 and over are estimated to be at risk of malnutrition. Screening older adults in primary care and treating those at risk may help to reduce malnutrition risk, reduce the resulting need for healthcare use and improve quality of life. Interventions are needed to raise older adults’ risk awareness, offer relevant and meaningful strategies to address risk and support general practices to deliver treatment and support. METHODS: Using the Person-based Approach and input from Patient and Public Involvement representatives, we developed the ‘Eat well, feel well, stay well’ intervention. The intervention was optimised using qualitative data from think aloud and semi-structured process evaluation interviews with 23 and 18 older adults respectively. Positive and negative comments were extracted to inform rapid iterative modifications to support engagement with the intervention. Data were then analysed thematically and final adjustments made, to optimise the meaningfulness of the intervention for the target population. RESULTS: Participants’ comments were generally positive. This paper focuses predominantly on participants’ negative reactions, to illustrate the changes needed to ensure that intervention materials were optimally relevant and meaningful to older adults. Key factors that undermined engagement included: resistance to the recommended nutritional intake among those with reduced appetite or eating difficulties, particularly frequent eating and high energy options; reluctance to gain weight; and a perception that advice did not align with participants’ specific personal preferences and eating difficulties. We addressed these issues by adjusting the communication of eating goals to be more closely aligned with older adults’ beliefs about good nutrition, and acceptable and feasible eating patterns. We also adjusted the suggested tips and strategies to fit better with older adults’ everyday activities, values and beliefs. CONCLUSIONS: Using iterative qualitative methods facilitated the identification of key behavioural and contextual elements that supported engagement, and issues that undermined older adults’ engagement with intervention content. This informed crucial revisions to the intervention content that enabled us to maximise the meaningfulness, relevance and feasibility of the key messages and suggested strategies to address malnutrition risk, and therefore optimise engagement with the intervention and the behavioural advice it provided. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-021-01572-z. BioMed Central 2021-11-11 /pmc/articles/PMC8580738/ /pubmed/34758733 http://dx.doi.org/10.1186/s12875-021-01572-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Payne, Liz Ghio, Daniela Grey, Elisabeth Slodkowska-Barabasz, Joanna Harris, Philine Sutcliffe, Michelle Green, Sue Roberts, Helen C. Childs, Caroline Robinson, Sian Gudgin, Bernard Holloway, Pam Kelly, Jo Wallis, Kathy Dean, Oliver Aveyard, Paul Gill, Paramjit Stroud, Mike Little, Paul Yardley, Lucy Morrison, Leanne Optimising an intervention to support home-living older adults at risk of malnutrition: a qualitative study |
title | Optimising an intervention to support home-living older adults at risk of malnutrition: a qualitative study |
title_full | Optimising an intervention to support home-living older adults at risk of malnutrition: a qualitative study |
title_fullStr | Optimising an intervention to support home-living older adults at risk of malnutrition: a qualitative study |
title_full_unstemmed | Optimising an intervention to support home-living older adults at risk of malnutrition: a qualitative study |
title_short | Optimising an intervention to support home-living older adults at risk of malnutrition: a qualitative study |
title_sort | optimising an intervention to support home-living older adults at risk of malnutrition: a qualitative study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580738/ https://www.ncbi.nlm.nih.gov/pubmed/34758733 http://dx.doi.org/10.1186/s12875-021-01572-z |
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