1
|
Beichmann B, Henriksen C, Paur I, Paulsen MM. Barriers and facilitators of improved nutritional support for patients newly diagnosed with cancer: a pre-implementation study. BMC Health Serv Res 2024; 24:815. [PMID: 39010098 PMCID: PMC11251100 DOI: 10.1186/s12913-024-11288-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 07/08/2024] [Indexed: 07/17/2024] Open
Abstract
BACKGROUND Disease-related malnutrition affects a significant number of patients with cancer and poses a major social problem worldwide. Despite both global and national guidelines to prevent and treat malnutrition, the prevalence is high, ranging from 20 to 70% in all patients with cancer. This study aimed to explore the current practice of nutritional support for patients with cancer at a large university hospital in Norway and to explore potential barriers and facilitators of the intervention in the Green Approach to Improved Nutritional support for patients with cancer (GAIN), prior to implementation in a clinical setting. METHODS The study used individual interviews and a focus group discussion to collect data. Study participants included different healthcare professionals and patients with cancer treated at a nutrition outpatient clinic. The Consolidated Framework for Implementation Research (CFIR) was used to guide the thematic data analysis. RESULTS Barriers connected to the current nutritional support were limited resources and undefined roles concerning responsibility for providing nutritional support among healthcare professionals. Facilitators included a desire for change regarding the current nutritional practice. The GAIN intervention was perceived as feasible for patients and healthcare professionals. Potential barriers included limited knowledge of technology, lack of motivation among patients, and a potential added burden experienced by the participating patients. CONCLUSIONS The identification of the potential barriers and facilitators of the current nutritional support to patients with cancer will be used to plan the implementation of improved nutritional support in a randomized controlled trial for patients with cancer prior to clinical implementation. The current findings may be of value to others trying to implement either or both nutritional support and digital application tools in a clinical healthcare setting. TRIAL REGISTRATION The study was registered in the National Institutes of Health Clinical trials 08/09/22. The identification code is NCT05544318.
Collapse
Affiliation(s)
- Benedicte Beichmann
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, P.O. Box 1110, Blindern, Oslo, 0317, Norway.
- Section for Clinical Nutrition, Department of Clinical Services, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.
| | - Christine Henriksen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, P.O. Box 1110, Blindern, Oslo, 0317, Norway
| | - Ingvild Paur
- Norwegian Advisory Unit on Disease-Related Undernutrition, Oslo, Norway
- Section for Clinical Nutrition, Department of Clinical Services, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway
| | - Mari Mohn Paulsen
- Department of Food Safety, Norwegian Institute of Public Health, Oslo, Norway
- Centre for Sustainable Diets, Norwegian Institute of Public Health, Oslo, Norway
| |
Collapse
|
2
|
Sánchez-Quiñones B, Antón-Maldonado C, Ibarra Vega N, Martorell Mariné I, Santamaria A. Development and Implementation of an eHealth Oncohematonootric Program: Descriptive, Observational, Prospective Cohort Pilot Study. JMIR Form Res 2024; 8:e49574. [PMID: 38588522 PMCID: PMC11036180 DOI: 10.2196/49574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 10/13/2023] [Accepted: 02/14/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND In oncohematology, both the development of the disease and the side effects of antineoplastic treatment often take a toll on patients' physical and nutritional well-being. In this era of digital transformation, we launched a pioneering project for oncohematologic patients to promote adherence to a healthy lifestyle and improve their physical and nutritional well-being. We aim to achieve this goal by involving doctors and nutritionists through the Nootric app. OBJECTIVE This study aims to assess the impact of the use of eHealth tools to facilitate nutrition and well-being in oncohematologic patients. We also aim to determine the usefulness of physical-nutritional management in improving tolerance to chemotherapy treatments within routine clinical practice. METHODS We designed a descriptive, observational, longitudinal, prospective cohort pilot study that included a total of 22 patients from March to May 2022 in the Vinalopó University Hospital. The inclusion criteria were adults over 18 years of age diagnosed with oncohematological pathology in active chemotherapy treatment. An action plan was created to generate alerts between the doctor and the nutritionist. In the beginning, the patients were trained to use the app and received education highlighting the importance of nutrition and physical exercise. Sociodemographic, clinical-biological-analytical (eg, malnutrition index), health care impact, usability, and patient adherence data were collected. Tolerance to chemotherapy treatment and its health care impact were evaluated. RESULTS We included 22 patients, 11 (50%) female and 11 (50%) male, ranging between 42 and 84 years of age. Among them, 13 (59%) were adherents to the program. The most frequent diseases were lymphoproliferative syndromes (13/22, 59%) and multiple myeloma (4/22, 18%). Moreover, 15 (68%) out of 22 patients received immunochemotherapy, while 7 (32%) out of 22 patients received biological treatment. No worsening of clinical-biological parameters was observed. Excluding dropouts and abandonments (n=9/22, 41%), the adherence rate was 81%, established by calculating the arithmetic mean of the adherence rates of 13 patients. No admission was observed due to gastrointestinal toxicity or discontinuation of treatment related to alterations in physical and nutritional well-being. In addition, only 5.5% of unscheduled consultations were increased due to incidents in well-being, mostly telematic (n=6/103 consultation are unscheduled). Additionally, 92% of patients reported an improvement in their nutritional habits (n=12/13), and up to 45% required adjustment of medical supportive treatment (n=5/11). There were no cases of grade 3 or greater gastrointestinal toxicity. All of this reflects improved tolerance to treatments. Patients reported a satisfaction score of 4.3 out of 5, while professionals rated their satisfaction at 4.8 out of 5. CONCLUSIONS We demonstrated the usefulness of integrating new technologies through a multidisciplinary approach. The Nootric app facilitated collaboration among the medical team, nutritionists, and patients. It enabled us to detect health issues related to physical-nutritional well-being, anticipate major complications, and mitigate potentially avoidable risks. Consequently, there was a decrease in unscheduled visits and admissions related to this condition.
Collapse
Affiliation(s)
- Beatriz Sánchez-Quiñones
- Hybrid Hematology Department, University Hospital Vinalopó, Alicante, Elche, Spain
- Hematoinnova Unit, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana, Valencia, Spain
| | - Cristina Antón-Maldonado
- Hybrid Hematology Department, University Hospital Vinalopó, Alicante, Elche, Spain
- Hematoinnova Unit, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana, Valencia, Spain
| | - Nataly Ibarra Vega
- Hybrid Hematology Department, University Hospital Vinalopó, Alicante, Elche, Spain
- Hematoinnova Unit, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana, Valencia, Spain
| | | | - Amparo Santamaria
- Hybrid Hematology Department, University Hospital Vinalopó, Alicante, Elche, Spain
- Hematoinnova Unit, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana, Valencia, Spain
| |
Collapse
|
3
|
Svendsen JA, Beck AM, Sigersted Frederiksen AK, Knudsen AW, Munk T. Development of an electronic food ordering system and a la carte menu: Enhancing patient involvement in nutritional care. Clin Nutr ESPEN 2024; 60:86-94. [PMID: 38479944 DOI: 10.1016/j.clnesp.2024.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 12/10/2023] [Accepted: 01/15/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Malnutrition is a significant issue in hospitals, leading to weight loss and reduced quality of life for patients. Hospital food plays a crucial role in preventing malnutrition, especially for patients with high nutritional risk or malnourishment. However, barriers to providing adequate nutritional care include a lack of tools to record patients' nutritional intake and a limited understanding of energy and protein content in hospital menus. OBJECTIVE The study aimed to develop an electronic patient-centered food ordering system and an à la carte menu to improve patients' nutritional care and involvement in their dietary choices. METHODS The study was conducted in two parts. Part 1 involved a questionnaire survey among hospitalized patients to determine their food preferences, self-assessed ability to use an electronic food ordering system, and preferences for different types of cuisine. The survey also investigated patients' meal choices for a full day, including portion sizes. Part 2 comprised usability tests of the electronic food ordering system prototype, conducted on hospitalized patients to identify interface issues and assess overall satisfaction. RESULTS A total of 99 patients participated in the questionnaire survey. The majority (78.7 %) found the selection of dishes appropriate. Patients' preferences were used to adjust the à la carte menu to reflect their meal choices. In the usability tests, the electronic food ordering system prototype showed positive results, and the System Usability Score was above the threshold for minor adjustments. CONCLUSION The study successfully developed an electronic patient-centered food ordering system and an à la carte menu that aligned with patients' preferences and needs. The system demonstrated usability and potential to improve patients' nutritional care and involvement in their dietary decisions. By addressing the barriers to nutritional care, this system offers a feasible solution to prevent and treat malnutrition in hospitalized patients.
Collapse
Affiliation(s)
| | - Anne Marie Beck
- Dietetic and Nutritional Research Unit, EATEN, Copenhagen University Hospital - Herlev Gentofte, Denmark
| | | | - Anne Wilkens Knudsen
- Dietetic and Nutritional Research Unit, EATEN, Copenhagen University Hospital - Herlev Gentofte, Denmark
| | - Tina Munk
- Dietetic and Nutritional Research Unit, EATEN, Copenhagen University Hospital - Herlev Gentofte, Denmark
| |
Collapse
|
4
|
Okkels SL, Christensen AS, Bjerring TS, Erichsen A, Rask IK, Frederiksen KG, Viggers L, Kristensen MB. Individualised nutritional treatment increases the positive effects of a novel á la carte hospital food service concept: Results of a quasi-experimental study. Clin Nutr ESPEN 2024; 59:225-234. [PMID: 38220380 DOI: 10.1016/j.clnesp.2023.12.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/07/2023] [Accepted: 12/12/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND & AIMS One-third of hospitalised patients are at nutritional risk, and limited choice regarding meals and meal times, and inadequate nutritional support may contribute to inadequate nutritional intake during hospitalisation. The aim was to test the effect of a novel á la carte hospital food service concept as a stand-alone intervention and combined with individualised nutritional treatment. METHODS Medical inpatients at nutritional risk were recruited for this three-arm quasi-experimental study. The control group received meals from the traditional bulk trolley food service system. Intervention group 1 (IG1) received meals from a novel á la carte food service concept with an electronic ordering system, whereas intervention group 2 (IG2) in addition to this received individualised nutritional treatment by a clinical dietitian. Nutritional intake and length of stay was measured, and patient satisfaction was assessed with purpose-designed questionnaires. RESULTS 206 patients were included: 67 in the control group, 68 in IG1, and 71 in IG2. The proportion of participants reaching ≥75 % of both their energy and protein requirement was higher in IG1 compared to the control group (34 % vs. 12 %, p = 0.002) and higher in IG2 compared to IG1 (53 % vs. 34 %, p = 0.035). Length of stay was shorter in IG2 compared to the control group (6.0 vs. 8.7 days, p = 0.005). It was important to participants to be able to choose when and what to eat, and this preference was met to a larger extent in the intervention groups. CONCLUSION The novel á la carte concept increases energy and protein intake in hospitalised patients, and the positive effects are increased, when the concept is used in combination with individualised nutritional treatment.
Collapse
Affiliation(s)
- Signe Loftager Okkels
- Department of Nutrition, Gødstrup Hospital, Hospitalsparken 15, DK-7400 Herning, Denmark.
| | | | | | - Alexander Erichsen
- Department of Nutrition, Gødstrup Hospital, Hospitalsparken 15, DK-7400 Herning, Denmark.
| | - Ingeborg Krarup Rask
- Department of Nutrition, Gødstrup Hospital, Hospitalsparken 15, DK-7400 Herning, Denmark.
| | | | - Lone Viggers
- Department of Nutrition, Gødstrup Hospital, Hospitalsparken 15, DK-7400 Herning, Denmark.
| | | |
Collapse
|
5
|
Jonathan A, Reid K, Radcliffe T. Managing food waste in the inpatient population. BMJ Open Qual 2023; 12:e002436. [PMID: 38123474 DOI: 10.1136/bmjoq-2023-002436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 12/02/2023] [Indexed: 12/23/2023] Open
Abstract
INTRODUCTION For medical students, food is rarely discussed from the clinical perspective. Yet, in hospitals reduced food intake poses the risk of malnutrition, along with increased morbidity and mortality. The issue of food waste, a cause of inadequate dietary intake and a common issue within the National Health Service, is rarely addressed. The implementation of protected mealtimes has done little to solve this. This quality improvement project aimed to reduce the average amount of inpatient food waste by 20% by May 2022. METHODS A standardised meal size intervention was tested. Meals were weighed before and after meal services to collect baseline and postintervention data. The percentage consumed and the percentage wasted were then calculated. Finally, the overall average of the percentage wasted across both meal services was determined. RESULTS Quantitative data showed a change in the average amount of food waste from 70.16% to 65.75%, a decrease of 4.41%. Survey results also found an increase of 3% in patient satisfaction with meal sizes. CONCLUSION Standardising meal sizes is shown to improve inpatient food waste and may serve as a starting point for healthcare providers to devise further strategies to reduce wastage in hospitals.
Collapse
Affiliation(s)
- Adrienne Jonathan
- University Hospitals of Morecambe Bay NHS Foundation Trust, Lancaster, UK
| | - Kim Reid
- East Lancashire Hospitals NHS Trust, Blackburn, UK
| | - Tim Radcliffe
- Estates & Facilities Division, East Lancashire Hospitals NHS Trust, Blackburn, UK
| |
Collapse
|
6
|
Ferguson CE, Tatucu-Babet OA, Amon JN, Chapple LAS, Malacria L, Myint Htoo I, Hodgson CL, Ridley EJ. Dietary assessment methods for measurement of oral intake in acute care and critically ill hospitalised patients: a scoping review. Nutr Res Rev 2023:1-14. [PMID: 38073417 DOI: 10.1017/s0954422423000288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Quantification of oral intake within the hospital setting is required to guide nutrition care. Multiple dietary assessment methods are available, yet details regarding their application in the acute care setting are scarce. This scoping review, conducted in accordance with JBI methodology, describes dietary assessment methods used to measure oral intake in acute and critical care hospital patients. The search was run across four databases to identify primary research conducted in adult acute or critical care settings from 1st of January 2000-15th March 2023 which quantified oral diet with any dietary assessment method. In total, 155 articles were included, predominantly from the acute care setting (n = 153, 99%). Studies were mainly single-centre (n = 138, 88%) and of observational design (n = 135, 87%). Estimated plate waste (n = 59, 38%) and food records (n = 43, 28%) were the most frequent assessment methods with energy and protein the main nutrients quantified (n = 81, 52%). Validation was completed in 23 (15%) studies, with the majority of these using a reference method reliant on estimation (n = 17, 74%). A quarter of studies (n = 39) quantified completion (either as complete versus incomplete or degree of completeness) and four studies (2.5%) explored factors influencing completion. Findings indicate a lack of high-quality evidence to guide selection and application of existing dietary assessment methods to quantify oral intake with a particular absence of evidence in the critical care setting. Further validation of existing tools and identification of factors influencing completion is needed to guide the optimal approach to quantification of oral intake in both research and clinical contexts.
Collapse
Affiliation(s)
- Clare E Ferguson
- Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Dietetics and Nutrition Department, Alfred Health, Melbourne, Victoria, Australia
| | - Oana A Tatucu-Babet
- Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Dietetics and Nutrition Department, Alfred Health, Melbourne, Victoria, Australia
| | - Jenna N Amon
- Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Dietetics and Nutrition Department, Alfred Health, Melbourne, Victoria, Australia
| | - Lee-Anne S Chapple
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
- Intensive Care Unit, Royal Adelaide Hospital, Adelaide, South Australia, Australia
- Centre of Research Excellence in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide, South Australia, Australia
| | - Lauren Malacria
- Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Ivy Myint Htoo
- Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Carol L Hodgson
- Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Division of Clinical Trials and Cohort Studies, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Critical Care, University of Melbourne, Melbourne, Victoria, Australia
- The George Institute for Global Health, Sydney, NSW, Australia
- Physiotherapy Department, Alfred Health, Melbourne, Victoria, Australia
| | - Emma J Ridley
- Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Dietetics and Nutrition Department, Alfred Health, Melbourne, Victoria, Australia
| |
Collapse
|
7
|
Severinsen F, Andersen LF, Paulsen MM. The Use of a Decision Support System (MyFood) to Assess Dietary Intake Among Free-Living Older Adults in Norway: Evaluation Study. JMIR Mhealth Uhealth 2023; 11:e45079. [PMID: 37535420 PMCID: PMC10436117 DOI: 10.2196/45079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 04/27/2023] [Accepted: 06/05/2023] [Indexed: 08/05/2023] Open
Abstract
BACKGROUND The proportion of older adults in the world is constantly increasing, and malnutrition is a common challenge among the older adults aged ≥65 years. This poses a need for better tools to prevent, assess, and treat malnutrition among older adults. MyFood is a decision support system developed with the intention to prevent and treat malnutrition. OBJECTIVE This study aimed to evaluate the ability of the MyFood app to estimate the intake of energy, protein, fluids, and food and beverage items among free-living older adults aged ≥65 years, primarily at an individual level and secondarily at a group level. In addition, the aim was to measure the experiences of free-living older adults using the app. METHODS Participants were instructed to record their dietary intake in the MyFood app for 4 consecutive days. In addition, each participant completed two 24-hour recalls, which were used as a reference method to evaluate the dietary assessment function in the MyFood app. Differences in the estimations of energy, protein, fluid, and food groups were analyzed at both the individual and group levels, by comparing the recorded intake in MyFood with the 2 corresponding recalls and by comparing the mean of all 4 recording days with the mean of the 2 recalls, respectively. A short, study-specific questionnaire was used to measure the participants' experiences with the app. RESULTS This study included 35 free-living older adults residing in Norway. Approximately half of the participants had ≥80% agreement between MyFood and the 24-hour recalls for energy intake on both days. For protein and fluids, approximately 60% of the participants had ≥80% agreement on the first day of comparison. Dinner was the meal with the lowest agreement between the methods, at both the individual and group levels. MyFood tended to underestimate the intake of energy, protein, fluid, and food items at both the individual and group levels. The food groups that achieved the greatest agreement between the 2 methods were eggs, yogurt, self-composed dinner, and hot beverages. All participants found the app easy to use, and 74% (26/35) of the participants reported that the app was easy to navigate. CONCLUSIONS The results showed that the MyFood app tended to underestimate the participants' dietary intake compared with the 24-hour recalls at both the individual and group levels. The app's ability to estimate intake within food groups was greater for eggs, yogurt, and self-composed dinner than for spreads, mixed meals, vegetables, and snacks. The app was well accepted among the study participants and may be a useful tool among free-living older adults, given that the users are provided follow-up and support in how to record their dietary intake.
Collapse
Affiliation(s)
- Frida Severinsen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Lene Frost Andersen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Mari Mohn Paulsen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| |
Collapse
|
8
|
Varsi C, Andersen LF, Koksvik GT, Severinsen F, Paulsen MM. Intervention-related, contextual and personal factors affecting the implementation of an evidence-based digital system for prevention and treatment of malnutrition in elderly institutionalized patients: a qualitative study. BMC Health Serv Res 2023; 23:245. [PMID: 36915076 PMCID: PMC10012554 DOI: 10.1186/s12913-023-09227-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 02/28/2023] [Indexed: 03/15/2023] Open
Abstract
BACKGROUND Malnutrition in elderly institutionalized patients is a significant challenge associated with adverse health outcomes. The 'MyFood' decision support system was designed to prevent and treat malnutrition and has previously been studied in a hospital setting. The aim of this study was to explore the experiences of nursing staff regarding the implementation of MyFood in settings treating elderly patients. METHODS The study was conducted in two settings treating elderly patients in Norway. Nursing staff received training in how to follow-up patients with MyFood. Qualitative interviews were conducted with 12 nursing staff. The Consolidated Framework for Implementation Research (CFIR) was used to guide the data collection and the thematic data analysis. RESULTS The implementation of a digital decision support system to prevent and treat malnutrition into settings treating elderly patients was found to be affected by intervention-related, contextual, and personal factors. Although nursing staff experienced several advantages, the leadership engagement was low and hampered the implementation. CONCLUSION Nursing staff experienced several advantages with implementing a digital decision support system for the prevention and treatment of malnutrition in institutionalized elderly patients, including quality improvements and time savings. The results indicate that the leadership engagement was weak and that some nursing staff experienced low self-efficacy in digital competence. Future improvements include increasing the level of training, using MyFood throughout the patient course and involving the patient's next-of-kin. TRIAL REGISTRATION The study was acknowledged by The Norwegian Centre for Research Data (NSD), ref. number 135175.
Collapse
Affiliation(s)
- Cecilie Varsi
- Faculty of Health and Social Sciences, University of South-Eastern Norway, box 4, Borre, 3199, Norway
| | - Lene Frost Andersen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, box 1110, Blindern, Oslo, 0317, Norway
| | - Gunhild Tellebon Koksvik
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, box 1110, Blindern, Oslo, 0317, Norway
| | - Frida Severinsen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, box 1110, Blindern, Oslo, 0317, Norway
| | - Mari Mohn Paulsen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, box 1110, Blindern, Oslo, 0317, Norway.
| |
Collapse
|
9
|
Feng X, Liu Z, He X, Wang X, Yuan C, Huang L, Song R, Wu Y. Risk of Malnutrition in Hospitalized COVID-19 Patients: A Systematic Review and Meta-Analysis. Nutrients 2022; 14:nu14245267. [PMID: 36558436 PMCID: PMC9780808 DOI: 10.3390/nu14245267] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/26/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022] Open
Abstract
(1) Background: Studies have reported that COVID-19 may increase the risk of malnutrition among patients. However, the prevalence of such risk in hospitalized COVID-19 patients is uncertain due to the inconsistent use of assessment methods. (2) Methods: PubMed, Web of Science, and EMBASE were searched to identify studies on the nutritional status of hospitalized COVID-19 patients. A pooled prevalence of malnutrition risk evaluated by Nutrition Risk Score (NRS-2002) was obtained using a random effects model. Differences by study-level characteristics were examined by hospitalization setting, time of assessment, age, and country. Risk of bias was assessed using the Newcastle−Ottawa Scale. (3) Results: 53 studies from 17 countries were identified and summarized. A total of 17 studies using NRS-2002, including 3614 COVID-19 patients were included in the primary meta-analysis. The pooled prevalence of risk of malnutrition was significantly higher among ICU patients (92.2%, 95% CI: 85.9% to 96.8%) than among general ward patients (70.7%, 95% CI: 56.4% to 83.2%) (p = 0.002). No significant differences were found between age groups (≥65 vs. <65 years, p = 0.306) and countries (p = 0.893). (4) Conclusions: High risk of malnutrition is common and concerning in hospitalized patients with COVID-19, suggesting that malnutrition screening and nutritional support during hospitalization are needed.
Collapse
Affiliation(s)
- Xiaoru Feng
- Institute for Hospital Management, Tsinghua University, Beijing 100084, China
| | - Zeqi Liu
- Institute for Hospital Management, Tsinghua University, Beijing 100084, China
| | - Xiaotong He
- School of Labor and Human Resources, Renmin University of China, Beijing 100872, China
| | - Xibiao Wang
- Department of Occupational Hygiene Engineering, China University of Labor Relations, Beijing 100048, China
| | - Changzheng Yuan
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Liyan Huang
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Rui Song
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - You Wu
- Institute for Hospital Management, Tsinghua University, Beijing 100084, China
- School of Medicine, Tsinghua University, Beijing 100084, China
- Correspondence: ; Tel.: +86-13641181601
| |
Collapse
|
10
|
Long Z, Huang S, Zhang J, Zhang D, Yin J, He C, Zhang Q, Xu H, He H, Sun HC, Xie K. A Digital Smartphone-Based Self-administered Tool (R+ Dietitian) for Nutritional Risk Screening and Dietary Assessment in Hospitalized Patients With Cancer: Evaluation and Diagnostic Accuracy Study. JMIR Form Res 2022; 6:e40316. [PMID: 36287601 PMCID: PMC9647468 DOI: 10.2196/40316] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 09/22/2022] [Accepted: 09/23/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Malnutrition is a common and severe problem in patients with cancer that directly increases the incidence of complications and significantly deteriorates quality of life. Nutritional risk screening and dietary assessment are critical because they are the basis for providing personalized nutritional support. No digital smartphone-based self-administered tool for nutritional risk screening and dietary assessment among hospitalized patients with cancer has been developed and evaluated. OBJECTIVE This study aims to develop a digital smartphone-based self-administered mini program for nutritional risk screening and dietary assessment for hospitalized patients with cancer and to evaluate the validity of the mini program. METHODS We have developed the R+ Dietitian mini program, which consists of 3 parts: (1) collection of basic information of patients, (2) nutritional risk screening, and (3) dietary energy and protein assessment. The face-to-face paper-based Nutritional Risk Screening (NRS-2002), the Patient-Generated Subjective Global Assessment Short Form (PG-SGA-SF), and 3 days of 24-hour dietary recall (3d-24HRs) questionnaires were administered according to standard procedure by 2 trained dietitians as the reference methods. Sensitivity, specificity, positive predictive value, negative predictive value, κ value, and correlation coefficients (CCs) of nutritional risk screened in R+ Dietitian against the reference methods, as well as the difference and CCs of estimated dietary energy and protein intakes between R+ Dietitian and 3d-24HRs were calculated to evaluate the validity of R+ Dietitian. RESULTS A total of 244 hospitalized patients with cancer were recruited to evaluate the validity of R+ Dietitian. The NRS-2002 and PG-SGA-SF tools in R+ Dietitian showed high accuracy, sensitivity, and specificity (77.5%, 81.0%, and 76.7% and 69.3%, 84.5%, and 64.5%, respectively), and fair agreement (κ=0.42 and 0.37, respectively; CC 0.62 and 0.56, respectively) with the NRS-2002 and PG-SGA-SF tools administered by dietitians. The estimated intakes of dietary energy and protein were significantly higher (P<.001 for both) in R+ Dietitian (mean difference of energy intake: 144.2 kcal, SD 454.8; median difference of protein intake: 10.7 g, IQR 9.5-39.8), and showed fair agreement (CC 0.59 and 0.47, respectively), compared with 3d-24HRs performed by dietitians. CONCLUSIONS The identified nutritional risk and assessment of dietary intakes of energy and protein in R+ Dietitian displayed a fair agreement with the screening and assessment conducted by dietitians. R+ Dietitian has the potential to be a tool for nutritional risk screening and dietary intake assessment among hospitalized patients with cancer. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR1900026324; https://www.chictr.org.cn/showprojen.aspx?proj=41528.
Collapse
Affiliation(s)
| | - Shan Huang
- Department of Oncology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Jie Zhang
- Department of Oncology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Deng Zhang
- Department of Oncology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
| | - Jun Yin
- Recovery Plus Clinic, Chengdu, China
| | | | - Qinqiu Zhang
- Recovery Plus Clinic, Chengdu, China
- College of Food Science, Sichuan Agricultural University, Ya'an, China
| | - Huilin Xu
- Recovery Plus Clinic, Chengdu, China
| | - Huimin He
- Recovery Plus Clinic, Chengdu, China
| | | | - Ke Xie
- Department of Oncology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| |
Collapse
|
11
|
Konstantakopoulos FS, Georga EI, Tzanettis KE, Kokkinopoulos KA, Raptis SK, Michaloglou KA, Fotiadis DI. GlucoseML Mobile Application for Automated Dietary Assessment of Mediterranean Food. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2022; 2022:1432-1435. [PMID: 36085710 DOI: 10.1109/embc48229.2022.9871732] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Over the years and with the help of technology, the daily care of type 1 diabetes has been improved significantly. The increased adoption of continuous glucose monitoring, the continuous subcutaneous insulin injection and the accurate behavioral monitoring mHealth solutions have contributed to this phenomenon. In this study we present a mobile application for automated dietary assessment of Mediterranean food images as part of the GlucoseML system. Based on short-term predictive analysis of the glucose trajectory, GlucoseML is a type-1 diabetes self-management system. A computer vision approach is used as main part of the GlucoseML dietary assessment system calculating food carbohydrates, fats and proteins, relying on: (i) a deep learning subsystem for food image classification, and (ii) a 3D food image reconstruction subsystem for the volume estimation of food. The deep learning subsystem achieves 82.4% and 97.5% top-1 and top-5 accuracy, respectively, for food image classification while the subsystem for volume estimation of food achieves a mean absolute percentage error 10.7% for the four main categories of MedGRFood dataset.
Collapse
|
12
|
Kumar D, Bhardwaj A, Sharma S, Malhotra B, Amadi-Mgbenka C, Grover A, Joshi A. Designing and Evaluating a Personalized, Human-Centered Dietary Decision Support System for Use Among People With Diabetes in an Indian Setting: Protocol for a Quasi-Experimental Study. JMIR Res Protoc 2022; 11:e13635. [PMID: 35258472 PMCID: PMC8941435 DOI: 10.2196/13635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 05/28/2019] [Accepted: 05/29/2019] [Indexed: 11/23/2022] Open
Abstract
Background Human-centered dietary decision support systems are fundamental to diabetes management, and they address the limitations of existing diet management systems. Objective The objective of the proposed study is to evaluate the use of an interactive, telephone-linked, personalized, human-centered decision support system for facilitating the delivery of personalized nutrition care for patients with diabetes. Methods A quasi-experimental trial was conducted between the period of June and December 2018. Study participants were recruited from Community Health Center, Dharamshala, Kangra (urban population), and Model Rural Health Unit, Haroli Block, Una (rural population). Eligible participants included adults aged ≥30 years with controlled or uncontrolled diabetes, those who agreed to participate in the study, those who were available for follow-up interviews, and those with a telephone or computer at home. Diabetic status was determined via a physician’s diagnosis. Individuals with mental or physical challenges that affected their ability to use an electronic diet record, those who were not available for a telephone follow-up, and those who were involved in other protocols related to dietary assessments were excluded. The study participants were randomized into the following two groups: the intervention group (telephone-linked dietary decision support system) and the control group (paper-based diet record). Study participants in the intervention group recorded their daily dietary intake by using a telephone-linked, personalized, human-centered dietary decision support system and received personalized feedback and diet education via SMS text messaging. Study participants in the control group were provided with only a paper-based diet record for documenting their daily dietary intake. Follow-up visits were conducted at 3 and 6 months from the baseline in both groups. Differences in diabetes knowledge, attitudes, and practices will be measured across groups. Results The collection of baseline data from 800 study participants in both the intervention (n=400) and control groups (n=400), which were stratified by urban (control group: n=200; intervention group: n=200) and rural settings (control group: n=200; intervention group: n=200), has been completed. Follow-up data collection for months 3 and 6 is ongoing and is expected to be completed by October 2019. Conclusions We anticipate that the intervention group will show significant changes in nutrition knowledge, attitudes, and practices; satisfaction with care; and overall diabetes management. We also expect to see urban-rural differences across the groups. The uniqueness of our nutrient data capture process is demonstrated by its cultural and contextually relevant features—diet capture in both English and Hindi, diet conversion into caloric components, sustained diet data collection and participant adherence through telephone-linked care, and auto-generated reminders. International Registered Report Identifier (IRRID) DERR1-10.2196/13635
Collapse
Affiliation(s)
- Dinesh Kumar
- Department of Community Medicine, Himachal Pradesh, India
| | - Ashok Bhardwaj
- Dr. Radhakrishnan Government Medical College, Himachal Pradesh, India
| | - Shruti Sharma
- Foundation of Healthcare Technologies Society, New Delhi, India
| | - Bhavya Malhotra
- Foundation of Healthcare Technologies Society, New Delhi, India
| | - Chioma Amadi-Mgbenka
- Graduate School of Public Health and Health Policy, City University of New York, New York, NY, United States
| | - Ashoo Grover
- Indian Council of Medical Research, New Delhi, India
| | - Ashish Joshi
- Graduate School of Public Health and Health Policy, City University of New York, New York, NY, United States
| |
Collapse
|
13
|
Henriksen C, Paur I, Pedersen A, Kværner AS, Ræder H, Henriksen HB, Bøhn SK, Wiedswang G, Blomhoff R. Agreement between GLIM and PG-SGA for diagnosis of malnutrition depends on the screening tool used in GLIM. Clin Nutr 2021; 41:329-336. [PMID: 34999327 DOI: 10.1016/j.clnu.2021.12.024] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 11/27/2021] [Accepted: 12/13/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND & AIM The Global Leadership Initiative on Malnutrition (GLIM) has suggested a process for the diagnosis of malnutrition. The process consists of applying an existing screening tool for malnutrition screening, followed by malnutrition diagnostics, and finally categorization of malnutrition severity (moderate or severe) according to specific GLIM criteria. However, it is not known how well the GLIM process agrees with other diagnostic tools used in the current clinical practice. The aim of this study was to validate the GLIM process against the Patient Generated-Subjective Global Assessment (PG-SGA) when different screening tools were applied in the screening step of the GLIM process. METHODS Colorectal cancer (CRC) patients from the ongoing CRC-NORDIET study were included. For the GLIM process, the patients were first screened for malnutrition using either 1) Nutritional risk screening, first 4 questions (NRS-2002-4Q), 2) Malnutrition Screening Tool (MST), 3) Malnutrition Universal Screening Tool (MUST) or 4) the PG-SGA short form (PG-SGA-SF). The GLIM malnutrition diagnosis was then based on combining the result from each of the screening methods with the etiological and phenotypic GLIM-criteria including weight loss, BMI and fat free mass. In parallel, the patients were diagnosed using the PG-SGA methodology categorizing the patients into either A: well nourished, B: moderately malnourished or C: severely malnourished. The four different GLIM based diagnoses were then validated against the diagnosis obtained by the PG-SGA tool. Sensitivity, specificity and positive predictive value (PPV) were calculated to evaluate validity. RESULTS In total, 426 patients were included (mean age: 66, ±8 years) at a mean time of 166 (±56) days after surgery. The GLIM diagnosis based on the four different screening tools identified 10-24% of the patients to be malnourished, of which 3-8% were severely malnourished. The PG-SGA method categorized 15% as moderately malnourished (PG-SGA: category B) and no patients as severely malnourished (PG-SGA: category C). The agreement between the PG-SGA and GLIM process was in general low, but differed according to the tools: PG-SGA SF (sensitivity 47%, PPV 71%), MST (sensitivity 56%, PPV 47%), NRS-2002-4Q (sensitivity 63%, PPV 53%) and MUST (sensitivity 53%, PPV 34%). CONCLUSION In this cross-sectional study of patients with CRC, the concordance between the GLIM-criteria and PG-SGA depended on the screening tool used in the GLIM process. Malnutrition frequency based on the GLIM process schould be reported with and without the use of a screening tool.
Collapse
Affiliation(s)
- Christine Henriksen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Norway.
| | - Ingvild Paur
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Norway; Norwegian National Advisory Unit on Disease-related Undernutrition, Oslo, Norway; Department of Clinical Service, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway
| | - Astrid Pedersen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Norway
| | - Ane Sørlie Kværner
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Norway; Section for Colorectal Cancer Screening, The Cancer Registry of Norway, Oslo, Norway
| | - Hanna Ræder
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Norway; Department of Clinical Service, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway
| | - Hege Berg Henriksen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Norway
| | - Siv Kjølsrud Bøhn
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Norway; Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway
| | - Gro Wiedswang
- Department of Hepatic, Gastrointestinal and Paediatric Surgery, Division of Gastroenterological Surgery, Inflammatory Medicine & Transplantation, Oslo University Hospital, Oslo, Norway
| | - Rune Blomhoff
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Norway; Department of Clinical Service, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway
| |
Collapse
|
14
|
Tan J, Lau KM, Ross L, Kinneally J, Banks M, Pelecanos A, Young A. Development of a new tool to monitor and identify inadequate oral intake in hospital. Nutr Diet 2021; 78:296-304. [PMID: 34159690 DOI: 10.1111/1747-0080.12681] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/09/2021] [Accepted: 04/25/2021] [Indexed: 11/28/2022]
Abstract
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.
Collapse
Affiliation(s)
- Jerrold Tan
- School of Exercise and Nutrition Sciences, Queensland University of Technology, Kelvin Grove, Australia
| | - Ka Man Lau
- School of Exercise and Nutrition Sciences, Queensland University of Technology, Kelvin Grove, Australia
| | - Lynda Ross
- School of Exercise and Nutrition Sciences, Queensland University of Technology, Kelvin Grove, Australia.,Department of Nutrition and Dietetics, Royal Brisbane and Women's Hospital, Herston, Australia
| | - Jessica Kinneally
- Department of Nutrition and Dietetics, Royal Brisbane and Women's Hospital, Herston, Australia
| | - Merrilyn Banks
- Department of Nutrition and Dietetics, Royal Brisbane and Women's Hospital, Herston, Australia
| | - Anita Pelecanos
- Statistics Unit, QIMR Berghofer Medical Research Institute, Metro North Hospital and Health Service, Herston, Australia
| | - Adrienne Young
- School of Exercise and Nutrition Sciences, Queensland University of Technology, Kelvin Grove, Australia.,Department of Nutrition and Dietetics, Royal Brisbane and Women's Hospital, Herston, Australia
| |
Collapse
|
15
|
Paulsen MM, Varsi C, Andersen LF. Process evaluation of the implementation of a decision support system to prevent and treat disease-related malnutrition in a hospital setting. BMC Health Serv Res 2021; 21:281. [PMID: 33766017 PMCID: PMC7995565 DOI: 10.1186/s12913-021-06236-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 02/26/2021] [Indexed: 12/15/2022] Open
Abstract
Background Malnutrition is present in 30% of hospitalized patients and has adverse outcomes for the patient and the healthcare system. The current practice for nutritional care is associated with many barriers. The MyFood decision support system was developed to prevent and treat malnutrition. Methods This paper reports on a process evaluation that was completed within an effectiveness trial. MyFood is a digital tool with an interface consisting of an app and a website. MyFood includes functions to record and evaluate dietary intake. It also provides reports to nurses, including tailored recommendations for nutritional treatment. We used an effectiveness-implementation hybrid design in a randomized controlled trial. The RE-AIM (Reach, Efficiency, Adoption, Implementation, Maintenance) framework was used to perform a process evaluation alongside the randomized controlled trial, using a combination of quantitative and qualitative methods. An implementation plan, including implementation strategies, was developed to plan and guide the study. Results Reach: In total, 88% of eligible patients consented to participate (n = 100). Adoption: Approximately 75% of the nurses signed up to use MyFood and 50% used the reports. Implementation: MyFood empowered the patients in their nutritional situation and acted as a motivation to eat to reach their nutritional target. The compliance of using MyFood was higher among the patients than the nurses. A barrier for use of MyFood among the nurses was different digital systems which were not integrated and the log-in procedure to the MyFood website. Despite limited use by some nurses, the majority of the nurses claimed that MyFood was useful, better than the current practice, and should be implemented in the healthcare system. Conclusions This study used a process evaluation to interpret the results of a randomized controlled trial more in-depth. The patients were highly compliant, however, the compliance was lower among the nurses. MyFood empowered the patients in their nutritional situation, the usability was considered as high, and the experiences and attitudes towards MyFood were primarily positive. Focus on strategies to improve the nurses’ compliance may in the future improve the MyFood system’s potential. Trial registration The trial was registered in ClinicalTrials.gov 26/01/2018 (NCT03412695). Supplementary Information The online version contains supplementary material available at 10.1186/s12913-021-06236-3.
Collapse
Affiliation(s)
- Mari Mohn Paulsen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, box 1110 Blindern, 0317, Oslo, Norway. .,National Advisory Unit on Disease-related Undernutrition, Division of Cancer Medicine, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, 0372, Oslo, Norway.
| | - Cecilie Varsi
- Center for Digital Health Research, Oslo University Hospital, Division of Medicine, Aker hospital, box 4959 Nydalen, 0424, Oslo, Norway
| | - Lene Frost Andersen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, box 1110 Blindern, 0317, Oslo, Norway
| |
Collapse
|
16
|
Aure CF, Kluge A, Moen A. Promoting dietary awareness: Home-dwelling older adults' perspectives on using a nutrition application. Int J Older People Nurs 2020; 15:e12332. [PMID: 32597570 DOI: 10.1111/opn.12332] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 04/21/2020] [Accepted: 06/12/2020] [Indexed: 02/02/2023]
Abstract
AIMS AND OBJECTIVES This study investigated older adults' experiences of using the Appetitus app with support from healthcare professionals. BACKGROUND Good nutrition status is important for good health when ageing. However, as undernutrition remains a prevalent and persistent problem among older adults, the study explored whether technology affords innovative support for nutritional self-care among older adults. DESIGN The study was explorative and qualitative in approach. METHODS Appetitus was developed as a tablet-based application to prevent and alleviate undernutrition among older adults. Eighteen home-dwelling older adults used the app for 8 weeks. Older adults received home care, and local healthcare professionals introduced the app and gave support during the study. RESULTS Appetitus served as a source of inspiration and a reminder of available, relevant food options. Appetitus encouraged some participants to eat or drink more by the end of the day while others became more aware of selecting food options to ensure sufficient protein, energy and fluids. However, some participants made no active effort to change their diet despite feedback from the app that suggested they did not eat or drink enough. Technical support from healthcare professionals facilitated participants' use of the app and tablet. Some participants also received more specific nutritional follow-up that helped to make their experience of using the app more meaningful. CONCLUSION Older adults' awareness about the importance of keeping a diet that helps prevent undernutrition was reinforced through the use of Appetitus and discussing nutrition with healthcare professionals. IMPLICATION FOR PRACTICE The findings affirm feasibility of using technology in nutritional interventions enhancing self-care among older adults.
Collapse
Affiliation(s)
- Caroline Farsjø Aure
- Faculty of Medicine, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Anders Kluge
- Department of Education, Faculty of Educational Sciences, University of Oslo, Oslo, Norway
| | - Anne Moen
- Faculty of Medicine, Institute of Health and Society, University of Oslo, Oslo, Norway
| |
Collapse
|
17
|
Paulsen MM, Paur I, Gjestland J, Henriksen C, Varsi C, Tangvik RJ, Andersen LF. Effects of using the MyFood decision support system on hospitalized patients' nutritional status and treatment: A randomized controlled trial. Clin Nutr 2020; 39:3607-3617. [PMID: 32241711 DOI: 10.1016/j.clnu.2020.03.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 03/11/2020] [Accepted: 03/12/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND & AIMS Compliance to guidelines for disease-related malnutrition is documented as poor. The practice of using paper-based dietary recording forms with manual calculation of the patient's nutritional intake is considered cumbersome, time-consuming and unfeasible among the nurses and does often not lead to appropriate nutritional treatment. We developed the digital decision support system MyFood to deliver a solution to these challenges. MyFood is comprised of an app for patients and a website for nurses and includes functions for dietary recording, evaluation of intake compared to requirements, and a report to nurses including tailored recommendations for nutritional treatment and a nutritional care plan for documentation. The study aimed to investigate the effects of using the MyFood decision support system during hospital stay on adult patients' nutritional status, treatment and hospital length of stay. The main outcome measure was weight change. METHODS The study was a parallel-arm randomized controlled trial. Patients who were allocated to the intervention group used the MyFood app during their hospital stay and the nurses were encouraged to use the MyFood system. Patients who were allocated to the control group received routine care. RESULTS We randomly assigned 100 patients (51.9 ± 14 y) to the intervention group (n = 49) and the control group (n = 51) between August 2018 and February 2019. Losses to follow-up were n = 5 in the intervention group and n = 1 in the control group. No difference was found between the two groups with regard to weight change. Malnutrition risk at discharge was present in 77% of the patients in the intervention group and 94% in the control group (p = 0.019). Nutritional treatment was documented for 81% of the patients in the intervention group and 57% in the control group (p = 0.011). A nutritional care plan was created for 70% of the intervention patients compared to 16% of the control patients (p < 0.001). CONCLUSIONS The intervention had no effect on weight change during hospital stay. A higher proportion of the patients in the control group was malnourished or at risk of malnutrition at hospital discharge compared to the patients in the intervention group. The documentation of nutritional intake, treatment and nutritional care plans was higher for the patients using the MyFood system compared to the control group. This trial was registered at clinicaltrials.gov (NCT03412695).
Collapse
Affiliation(s)
- Mari Mohn Paulsen
- Norwegian National Advisory Unit on Disease Related Undernutrition, Division of Cancer Medicine, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, 0372 Oslo, Norway; Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Box 1110 Blindern, 0317 Oslo, Norway.
| | - Ingvild Paur
- Norwegian National Advisory Unit on Disease Related Undernutrition, Division of Cancer Medicine, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, 0372 Oslo, Norway
| | - Johanna Gjestland
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Box 1110 Blindern, 0317 Oslo, Norway; Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Christine Henriksen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Box 1110 Blindern, 0317 Oslo, Norway
| | - Cecilie Varsi
- Department of Digital Health Research, Division of Medicine, Oslo University Hospital, Aker Hospital, Box 4959 Nydalen, 0424 Oslo, Norway
| | - Randi Julie Tangvik
- Department of Clinical Medicine, Faculty of Medicine, University of Bergen, Box 7804, 5020 Bergen, Norway
| | - Lene Frost Andersen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Box 1110 Blindern, 0317 Oslo, Norway
| |
Collapse
|
18
|
Lozano-Lozano M, Cantarero-Villanueva I, Martin-Martin L, Galiano-Castillo N, Sanchez MJ, Fernández-Lao C, Postigo-Martin P, Arroyo-Morales M. A Mobile System to Improve Quality of Life Via Energy Balance in Breast Cancer Survivors (BENECA mHealth): Prospective Test-Retest Quasiexperimental Feasibility Study. JMIR Mhealth Uhealth 2019; 7:e14136. [PMID: 31237570 PMCID: PMC6614997 DOI: 10.2196/14136] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 05/13/2019] [Accepted: 05/16/2019] [Indexed: 02/06/2023] Open
Abstract
Background Energy balance is defined as the difference between energy expenditure and energy intake. The current state of knowledge supports the need to better integrate mechanistic approaches through effective studies of energy balance in the cancer population because of an observed significant lack of adherence to healthy lifestyle recommendations. To stimulate changes in breast cancer survivors’ lifestyles based on energy balance, our group developed the BENECA (Energy Balance on Cancer) mHealth app. BENECA has been previously validated as a reliable energy balance monitoring system. Objective Based on our previous results, the goal of this study was to investigate the feasibility of BENECA mHealth in an ecological clinical setting with breast cancer survivors, by studying (1) its feasibility and (2) pretest-posttest differences with regard to breast cancer survivor lifestyles, quality of life (QoL), and physical activity (PA) motivation. Methods Eighty breast cancer survivors diagnosed with stage I to IIIA and with a body mass index over 25 kg/m2 were enrolled in this prospective test-retest quasi-experimental study. Patients used BENECA mHealth for 8 weeks and were assessed at baseline and the postintervention period. Feasibility main outcomes included percentage of adoption, usage, and attrition; user app quality perception measured with the Mobile App Rating Scale (MARS); satisfaction with the Net Promoter Score (NPS); and barriers and facilitators of its use. Clinical main outcomes included measuring QoL with the European Organization for Research and Treatment of Cancer QoL Questionnaire Core 30 (EORT QLQ-C30), PA assessment with accelerometry, PA motivation measure with a Spanish self-efficacy scale for physical activity (EAF), and body composition with dual-energy x-ray absorptiometry. Statistical tests (using paired-sample t tests) and Kaplan-Meier survival curves were analyzed. Results BENECA was considered feasible by the breast cancer survivors in terms of use (76%, 58/76), adoption (69%, 80/116), and satisfaction (positive NPS). The app quality score did not make it one of the best-rated apps (mean 3.71, SD 0.47 points out of 5). BENECA mHealth improved the QoL of participants (global health mean difference [MD] 12.83, 95% CI 8.95-16.71, P<.001), and EAF score (global MD 36.99, 95% CI 25.52-48.46, P<.001), daily moderate-to-vigorous PA (MD 7.38, 95% CI 0.39-14.37, P=.04), and reduced body weight (MD −1.42, 95% CI −1.97 to −0.87, P<.001). Conclusions BENECA mHealth can be considered feasible in a real clinical context to promote behavioral changes in the lifestyles of breast cancer survivors, but it needs to be enhanced to improve user satisfaction with use and functionality. This study highlights the importance of the use of mobile apps based on energy balance and how the QoL of breast cancer survivors can be improved via monitoring.
Collapse
Affiliation(s)
- Mario Lozano-Lozano
- Department of Physical Therapy, Faculty of Health Sciences, University of Granada, Granada, Spain.,Sport and Health University Research Institute, Granada, Spain.,Biohealth Research Institute in Granada, Granada, Spain.,Cuidate-Support Unit for Oncology Patients, Granada, Spain
| | - Irene Cantarero-Villanueva
- Department of Physical Therapy, Faculty of Health Sciences, University of Granada, Granada, Spain.,Sport and Health University Research Institute, Granada, Spain.,Biohealth Research Institute in Granada, Granada, Spain.,Cuidate-Support Unit for Oncology Patients, Granada, Spain
| | - Lydia Martin-Martin
- Department of Physical Therapy, Faculty of Health Sciences, University of Granada, Granada, Spain.,Sport and Health University Research Institute, Granada, Spain.,Biohealth Research Institute in Granada, Granada, Spain.,Cuidate-Support Unit for Oncology Patients, Granada, Spain
| | - Noelia Galiano-Castillo
- Department of Physical Therapy, Faculty of Health Sciences, University of Granada, Granada, Spain.,Sport and Health University Research Institute, Granada, Spain.,Biohealth Research Institute in Granada, Granada, Spain.,Cuidate-Support Unit for Oncology Patients, Granada, Spain
| | - Maria-José Sanchez
- Biohealth Research Institute in Granada, Granada, Spain.,Andalusian School of Public Health, Granada, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
| | - Carolina Fernández-Lao
- Department of Physical Therapy, Faculty of Health Sciences, University of Granada, Granada, Spain.,Sport and Health University Research Institute, Granada, Spain.,Biohealth Research Institute in Granada, Granada, Spain.,Cuidate-Support Unit for Oncology Patients, Granada, Spain
| | - Paula Postigo-Martin
- Department of Physical Therapy, Faculty of Health Sciences, University of Granada, Granada, Spain.,Sport and Health University Research Institute, Granada, Spain.,Cuidate-Support Unit for Oncology Patients, Granada, Spain
| | - Manuel Arroyo-Morales
- Department of Physical Therapy, Faculty of Health Sciences, University of Granada, Granada, Spain.,Sport and Health University Research Institute, Granada, Spain.,Biohealth Research Institute in Granada, Granada, Spain.,Cuidate-Support Unit for Oncology Patients, Granada, Spain
| |
Collapse
|
19
|
Paulsen MM, Varsi C, Paur I, Tangvik RJ, Andersen LF. Barriers and Facilitators for Implementing a Decision Support System to Prevent and Treat Disease-Related Malnutrition in a Hospital Setting: Qualitative Study. JMIR Form Res 2019; 3:e11890. [PMID: 31094333 PMCID: PMC6532341 DOI: 10.2196/11890] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 02/18/2019] [Accepted: 03/29/2019] [Indexed: 01/04/2023] Open
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. Objective To investigate the possible implementation of the MyFood system in clinical practice, the aims of the study were (1) to identify current practice, routines, barriers, and facilitators of nutritional care; (2) to identify potential barriers and facilitators for the use of MyFood; and (3) to identify the key aspects of an implementation plan. Methods A qualitative study was performed among nurses, physicians, registered dietitians, and middle managers in 2 departments in a university hospital in Norway. Focus group discussions and semistructured interviews were used to collect data. The Consolidated Framework for Implementation Research (CFIR) was used to create the interview guide and analyze the results. The transcripts were analyzed using a thematic analysis. Results A total of 27 health care professionals participated in the interviews and focus groups, including nurses (n=20), physicians (n=2), registered dietitians (n=2), and middle managers (n=3). The data were analyzed within 22 of the 39 CFIR constructs. Using the 5 CFIR domains as themes, we obtained the following results: (1) Intervention characteristics: MyFood was perceived to have a relative advantage of being more trustworthy, systematic, and motivational and providing increased awareness of nutritional treatment compared with the current practice. Its lack of communication with the existing digital systems was perceived as a potential barrier; (2) Outer settings: patients from different cultural backgrounds with language barriers and of older age were potential barriers for the use of the MyFood system; (3) Inner settings: no culture for specific routines or systems related to nutritional care existed in the departments. However, tension for change regarding screening for malnutrition risk, monitoring and nutritional treatment was highlighted in all categories of interviewees; (4) Characteristics of the individuals: positive attitudes toward MyFood were present among the majority of the interviewees, and they expressed self-efficacy toward the perceived use of MyFood; (5) Process: providing sufficient information to everyone in the department was highlighted as key to the success of the implementation. The involvement of opinion leaders, implementation leaders, and champions was also suggested for the implementation plan. Conclusions This study identified several challenges in the nutritional care of hospitalized patients at risk of malnutrition and deviations from recommendations and guidelines. The MyFood system was perceived as being more precise, trustworthy, and motivational than the current practice. However, several potential barriers were identified. The assessment of the current situation and the identification of perceived barriers and facilitators will be used in planning an implementation and effect study, including the creation of an implementation plan.
Collapse
Affiliation(s)
- Mari Mohn Paulsen
- National Advisory Unit on Disease-related Malnutrition, Department of Cancer Medicine, Oslo University Hospital, Oslo, Norway.,Institute of Basic Medical Sciences, Department of Nutrition, University of Oslo, Oslo, Norway
| | - Cecilie Varsi
- Center for Shared Decision Making and Collaborative Care Research, Division of Medicine, Oslo University Hospital, Oslo, Norway
| | - Ingvild Paur
- National Advisory Unit on Disease-related Malnutrition, Department of Cancer Medicine, Oslo University Hospital, Oslo, Norway
| | - Randi Julie Tangvik
- Department of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway
| | - Lene Frost Andersen
- Institute of Basic Medical Sciences, Department of Nutrition, University of Oslo, Oslo, Norway
| |
Collapse
|