Telemonitoring to improve nutritional status in community-dwelling elderly: design and methods for process and effect evaluation of a non-randomized controlled trial

M N van Doorn-van Atten, A Haveman-Nies, P Pilichowski, R Roca, J H M de Vries, C P G M de Groot, M N van Doorn-van Atten, A Haveman-Nies, P Pilichowski, R Roca, J H M de Vries, C P G M de Groot

Abstract

Background: A good nutritional status is key for maintaining health and quality of life in older adults. In the Netherlands, 11 to 35% of the community-dwelling elderly are undernourished. Undernutrition or the risk of it should be signalled as soon as possible to be able to intervene at an early stage. However, in the context of an ageing population health care resources are scarce, evoking interest in health enabling technologies such as telemonitoring. This article describes the design of an intervention study focussing at telemonitoring and improving nutritional status of community-dwelling elderly.

Methods: The PhysioDom Home Dietary Intake Monitoring intervention was evaluated using a parallel arm pre-test post-test design including 215 Dutch community-dwelling elderly aged > 65 years. The six-month intervention included nutritional telemonitoring, television messages, and dietary advice by a nurse or a dietician. The control group received usual care. Measurements were performed at baseline, after 4.5 months, and at the end of the study, and included the primary outcome nutritional status and secondary outcomes behavioural determinants, diet quality, appetite, body weight, physical activity, physical functioning, and quality of life. Furthermore, a process evaluation was conducted to provide insight into intervention delivery, feasibility, and acceptability.

Discussion: This study will improve insight into feasibility and effectiveness of telemonitoring of nutritional parameters in community-dwelling elderly. This will provide relevant insights for health care professionals, researchers, and policy makers.

Trial registration: The study was retrospectively registered at Clinical-Trials.gov (identifier NCT03240094 ) since August 3, 2017.

Keywords: Community-dwelling elderly; Prevention; Real-life setting; Study protocol; Telemonitoring; Undernutrition.

Conflict of interest statement

Ethics approval and consent to participate

The ethics committee of Wageningen University approved the study protocol and all participants gave their written informed consent before the start of the study.

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Logic model of the PhysioDom HDIM intervention in the Netherlands

References

    1. Morley JE. Undernutrition in older adults. Fam Pract. 2012;29(Suppl 1):i89–i93. doi: 10.1093/fampra/cmr054.
    1. Rasheed S, Woods RT. Malnutrition and quality of life in older people: a systematic review and meta-analysis. Ageing Res Rev. 2013;12(2):561–566. doi: 10.1016/j.arr.2012.11.003.
    1. Schilp J, et al. High prevalence of undernutrition in Dutch community-dwelling older individuals. Nutrition. 2012;28(11–12):1151–1156. doi: 10.1016/j.nut.2012.02.016.
    1. Correia MI, Waitzberg DL. The impact of malnutrition on morbidity, mortality, length of hospital stay and costs evaluated through a multivariate model analysis. Clin Nutr. 2003;22(3):235–239. doi: 10.1016/S0261-5614(02)00215-7.
    1. Meijers JM, et al. Nutritional care; do process and structure indicators influence malnutrition prevalence over time? Clin Nutr. 2014;33(3):459–465. doi: 10.1016/j.clnu.2013.06.015.
    1. National Collaborating Centre for Acute Care . Nutrition support for adults: Oral nutrition support, enteral tube feeding and parenteral nutrition. London: National Collaborating Centre for Acute Care (UK); 2006.
    1. Elia M, Zellipour L, Stratton RJ. To screen or not to screen for adult malnutrition? Clin Nutr. 2005;24(6):867–884. doi: 10.1016/j.clnu.2005.03.004.
    1. Mensink PAJS, et al. Landelijke Eerstelijns Samenwerkings Afspraak Ondervoeding. Huisarts Wet. 2010;53(7):S7–10.
    1. RJG H, et al. Rapportage Resultaten: Landelijke Prevalentiemeting Zorgproblemen 2010. Maastricht: Maastricht University; 2010.
    1. Ziylan C, et al. Dutch nutrition and care professionals' experiences with undernutrition awareness, monitoring, and treatment among community-dwelling older adults: a qualitative study. BMC Nutrition. 2015;1(1):38. doi: 10.1186/s40795-015-0034-6.
    1. Eysenbach G. What is e-health? J Med Internet Res. 2001;3(2):E20. doi: 10.2196/jmir.3.2.e20.
    1. Institute of Medicine Committee on Evaluating Clinical Applications of Telemedicine . Telemedicine, A Guide to Assessing Telecommunications in Health Care. Washington: National Academies Press (US); 1996.
    1. Inglis SC, et al. Structured telephone support or telemonitoring programmes for patients with chronic heart failure. Cochrane Database Syst Rev. 2010;(4).
    1. Van den Berg N, et al. Telemedicine and telecare for older patients--a systematic review. Maturitas. 2012;73(2):94–114. doi: 10.1016/j.maturitas.2012.06.010.
    1. Meystre S. The current state of telemonitoring: a comment on the literature. Telemed J E Health. 2005;11(1):63–69. doi: 10.1089/tmj.2005.11.63.
    1. Kraft M, et al. Development of a telemedical monitoring concept for the care of malnourished geriatric home-dwelling patients: a pilot study. Maturitas. 2012;72(2):126–131. doi: 10.1016/j.maturitas.2012.02.011.
    1. Haveman-Nies A. Epidemiology in Public Health Practice. Wageningen: Wageningen Academic Publishers; 2010.
    1. Michie S, et al. A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: the CALO-RE taxonomy. Psychol Health. 2011;26(11):1479–1498. doi: 10.1080/08870446.2010.540664.
    1. Eldredge LKB, et al. Planning health promotion programs: an intervention mapping approach. San Francisco: Wiley; 2010.
    1. Kaiser MJ, et al. Validation of the mini nutritional assessment short-form (MNA-SF): a practical tool for identification of nutritional status. J Nutr Health Aging. 2009;13(9):782–788. doi: 10.1007/s12603-009-0214-7.
    1. Wilson MM, et al. Appetite assessment: simple appetite questionnaire predicts weight loss in community-dwelling adults and nursing home residents. Am J Clin Nutr. 2005;82(5):1074–1081. doi: 10.1093/ajcn/82.5.1074.
    1. van Lee L, et al. Evaluation of a screener to assess diet quality in the Netherlands. Br J Nutr. 2016;115(3):517–526. doi: 10.1017/S0007114515004705.
    1. Hoes A. NHG-Standaard Hartfalen. Huisarts Wet. 2010;53(7):368–389.
    1. Breedveld, B. and Peters, S. Ouderen en voeding; Factsheet. Voedingscentrum Available from: . Accessed 21 August 2017.
    1. Lutomski JE, et al. The development of the older persons and informal caregivers survey minimum DataSet (TOPICS-MDS): a large-scale data sharing initiative. PLoS One. 2013;8(12):e81673. doi: 10.1371/journal.pone.0081673.
    1. Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189–198. doi: 10.1016/0022-3956(75)90026-6.
    1. Vellas B, et al. Overview of the MNA--its history and challenges. J Nutr Health Aging. 2006;10(6):456–463.
    1. Nothwehr F, Dennis L, Wu H. Measurement of behavioral objectives for weight management. Health Educ Behav. 2007;34(5):793–809. doi: 10.1177/1090198106288559.
    1. Wojcicki TR, White SM, McAuley E. Assessing outcome expectations in older adults: the multidimensional outcome expectations for exercise scale. J Gerontol B Psychol Sci Soc Sci. 2009;64(1):33–40. doi: 10.1093/geronb/gbn032.
    1. Lorig K, et al. Outcome Measures for Health Education and Other Health Care Interventions. Thousand Oaks: SAGE Publications; 1996.
    1. Hooft Van Huysduynen EJC. Towards healthy diets for parents: effectiveness of a counselling intervention. Wageningen: Wageningen University; 2014. p. 114.
    1. Duijzer G, et al. SLIMMER: a randomised controlled trial of diabetes prevention in Dutch primary health care: design and methods for process, effect, and economic evaluation. BMC Public Health. 2014;14:602. doi: 10.1186/1471-2458-14-602.
    1. Health Council of the Netherlands. Guidelines for a healthy diet 2006. The Hague: Health Council of the Netherlands. p. 2006.
    1. Laan W, et al. Validity and reliability of the Katz-15 scale to measure unfavorable health outcomes in community-dwelling older people. J Nutr Health Aging. 2014;18(9):848–854. doi: 10.1007/s12603-014-0558-5.
    1. Guralnik JM, et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol. 1994;49(2):M85–M94. doi: 10.1093/geronj/49.2.M85.
    1. Ware JE, Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30(6):473–483. doi: 10.1097/00005650-199206000-00002.
    1. Aaronson NK, et al. Translation, validation, and norming of the Dutch language version of the SF-36 health survey in community and chronic disease populations. J Clin Epidemiol. 1998;51(11):1055–1068. doi: 10.1016/S0895-4356(98)00097-3.
    1. Saunders RP, Evans MH, Joshi P. Developing a process-evaluation plan for assessing health promotion program implementation: a how-to guide. Health Promot Pract. 2005;6(2):134–147. doi: 10.1177/1524839904273387.
    1. Steckler A, Linnan L. Process evaluation for public health interventions and research. San Francisco: Wiley; 2002.
    1. Wang S, Moss JR, Hiller JE. Applicability and transferability of interventions in evidence-based public health. Health Promot Int. 2006;21(1):76–83. doi: 10.1093/heapro/dai025.
    1. Nijs KA, et al. Effect of family-style meals on energy intake and risk of malnutrition in dutch nursing home residents: a randomized controlled trial. J Gerontol A Biol Sci Med Sci. 2006;61(9):935–942. doi: 10.1093/gerona/61.9.935.
    1. De Vries OJ, et al. Multifactorial intervention to reduce falls in older people at high risk of recurrent falls: a randomized controlled trial. Arch Intern Med. 2010;170(13):1110–1117. doi: 10.1001/archinternmed.2010.169.
    1. Hendriks MRC, et al. Lack of effectiveness of a multidisciplinary fall-prevention program in elderly people at risk: a randomized, controlled trial. J Am Geriatr Soc. 2008;56(8):1390–1397. doi: 10.1111/j.1532-5415.2008.01803.x.
    1. Logghe IHJ, et al. Lack of effect of tai chi Chuan in preventing falls in elderly people living at home: a randomized clinical trial. J Am Geriatr Soc. 2009;57(1):70–75. doi: 10.1111/j.1532-5415.2008.02064.x.
    1. Smulders E, et al. Efficacy of a short multidisciplinary falls prevention program for elderly persons with osteoporosis and a fall history: a randomized controlled trial. Arch Phys Med Rehabil. 2010;91(11):1705–1711. doi: 10.1016/j.apmr.2010.08.004.
    1. Van Haastregt JC, et al. Effects of a programme of multifactorial home visits on falls and mobility impairments in elderly people at risk: randomised controlled trial. BMJ. 2000;321(7267):994–998. doi: 10.1136/bmj.321.7267.994.
    1. Baker TB, Gustafson DH, Shah D. How can research keep up with eHealth? Ten strategies for increasing the timeliness and usefulness of eHealth research. J Med Internet Res. 2014;16(2):e36. doi: 10.2196/jmir.2925.

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