Telenutrition: Changes in Professional Practice and in the Nutritional Assessments of Italian Dietitian Nutritionists in the COVID-19 Era
Abstract
:1. Introduction
2. Materials and Methods
2.1. Survey Development and Design
2.2. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Characteristics | n | % |
---|---|---|
Age groups (years) | ||
20–39 | 228 | 52.3 |
40–59 | 167 | 38.3 |
60–75 | 41 | 9.4 |
Geographical provenance | ||
Northern Italy | 249 | 57.1 |
Central Italy | 110 | 25.2 |
Southern Italy | 77 | 17.7 |
Highest degree earned | ||
Bachelor’s Degree | 233 | 53.4 |
Master’s Degree | 116 | 26.6 |
1st level University Master’s Degree | 69 | 15.8 |
2nd level University Master’s Degree | 11 | 2.5 |
Academic Doctorate Degree | 7 | 1.6 |
Member of ASAND ° | ||
Yes | 276 | 63.3 |
No | 160 | 36.7 |
Current work ϭ | ||
NHS employed | 146 | 33.5 |
Private healthcare facility employee | 27 | 6.2 |
Freelance | 243 | 55.7 |
Employed by two institutes/centers # | 12 | 2.8 |
University professor | 2 | 0.5 |
Other | 6 | 1.3 |
Experience as dietitian (years) | ||
0–10 | 185 | 42.4 |
11–20 | 123 | 28.2 |
21–30 | 75 | 17.2 |
31–40 | 41 | 9.4 |
41–50 | 12 | 2.8 |
Focus area in which most time is spent | ||
Artificial nutrition | 16 | 3.7 |
Diabetes care | 50 | 11.5 |
Disordered eating | 51 | 11.7 |
Food and nutrition consultant | 44 | 10.1 |
Food manager in collective catering companies | 17 | 3.9 |
Gastroenterological support | 18 | 4.1 |
Gerontological nutrition | 10 | 2.3 |
Health prevention and nutrition education | 9 | 2,1 |
Oncology | 20 | 4.6 |
Other § | 13 | 3.0 |
Kidney disease nutrition | 14 | 3.2 |
Sports nutrition | 17 | 3.9 |
Weight management | 137 | 31.4 |
Women and pediatric nutrition | 20 | 4.6 |
Age range of studying populations * | ||
Older adults (age 65+) | 187 | 42.9 |
Adults (ages 22–64) | 382 | 87.6 |
Pregnant/postpartum women | 122 | 28 |
Teenagers and young adults (ages 13–21) | 182 | 41.7 |
Children (ages 6–12) | 105 | 24.1 |
Young children (ages 1–5) | 44 | 10.1 |
Infants | 17 | 3.9 |
Prior to COVID-19 Pandemic | Mean ± SD | |
---|---|---|
Hours per week providing face-to-face nutrition care (n = 417) ≠ | 22.3 ± 12 | |
Years of experience providing nutrition care via telehealth (n = 70) | 4.7 ± 5 | |
During the COVID-19 pandemic | n | % |
Targets of patients via telenutrition | ||
Individuals | 216 | 78.5 |
Groups | 12 | 4.4 |
Both individuals and groups | 47 | 17.1 |
Current modalities used to provide telenutrition | ||
Telephone (audio only) | 47 | 17.1 |
Audiovisual | 129 | 46.9 |
Both telephone and audiovisual | 89 | 32.4 |
Other § | 10 | 3.6 |
Audiovisual options used to provide telenutrition | ||
Audiovisual capability built into the electronic health record | 7 | 2.5 |
Google Meet | 65 | 23.6 |
Lifesize | 6 | 2.2 |
Teams/Cisco WebEx Meetings/WebEx Teams | 23 | 8.4 |
Zoom | 5 | 1.8 |
Zoom/Google/Teams/Skype | 77 | 28.0 |
23 | 8.4 | |
WhatsApp, Skype | 12 | 4.4 |
Healthcare specialized platforms | 14 | 5.1 |
Other # | 43 | 15.6 |
Types of nutrition assessment and/or monitoring and evaluation conducted via telehealth * | ||
Self-reported body measurements | 173 | 62.9 |
Food and nutrition assessment | 233 | 84.7 |
Evaluation of knowledge/beliefs/attitudes | 184 | 66.9 |
Nutritional history | 227 | 82.5 |
Behaviors | 34 | 12.4 |
Assessment/monitoring tools | 30 | 10.9 |
Physical activity and function | 171 | 62.2 |
Biochemical data | 11 | 4.0 |
Types of nutrition interventions provided via telehealth * | ||
Coordination of nutrition care | 30 | 10.9 |
Nutrition counseling | 220 | 80.0 |
Nutrition education | 215 | 78.2 |
Nutrition prescription | 109 | 39.6 |
Nutrition supplementation | 39 | 14.2 |
Enteral and parenteral nutrition | 27 | 9.8 |
Groups of population-based nutrition action | 44 | 16.0 |
No intervention | 10 | 3.6 |
Critical issues encountered in patients during telenutrition * | ||
Unhealthy eating habits | 10 | 3.6 |
Eating disorders | 37 | 13.5 |
Obstacles to care access | 5 | 1.8 |
Emotional eating | 2 | 0.7 |
Emotional frailty, fear, anxiety, stress, depression | 38 | 13.8 |
Weight gain | 91 | 33.1 |
Malnutrition | 5 | 1.8 |
Redaction of economic possibilities | 8 | 2.9 |
Poor compliance | 17 | 6.2 |
Sedentary lifestyle | 44 | 16.0 |
None | 16 | 5.8 |
Barriers to Providing Telenutrition * | n | % |
---|---|---|
Not being able to conduct or evaluate some typical assessment or monitoring/evaluation activities | 67 | 24.4 |
Not being able to deliver some routine nutrition interventions | 24 | 8.7 |
Not having equipment to deliver telenutrition at home | 11 | 4.0 |
Not having remote access to the electronic health record at home | 16 | 5.8 |
Clients not having a telephone (landline or mobile phone) | 11 | 4.0 |
Clients not having access to the Internet | 46 | 16.7 |
Clients not interested in receiving telenutrition | 85 | 30.9 |
Payer(s) do not include RDNs in their provider networks | 12 | 4.4 |
Payer(s) do not include nutrition services in their telehealth policies | 21 | 7.6 |
Lack of employer support | 12 | 4.4 |
Difficulty of establishing relationships/therapeutic alliance via telehealth | 66 | 24.0 |
Discomfort with delivering nutrition care via telehealth | 24 | 8.7 |
None | 67 | 24.4 |
Benefits experienced by delivering telenutrition * | ||
Improved patient access | 122 | 44.4 |
Scheduling flexibility | 150 | 54.5 |
Reduced transportation costs for patients/clients | 117 | 42.5 |
Promoting compliance with social distancing measures recommended due to COVID-19 pandemic | 177 | 64.4 |
None | 5 | 1.8 |
Age Groups | p-value | |||
20–39 yrs (n = 228) | 40–59 yrs (n = 167) | 60–75 yrs (n = 41) | ||
Providing telenutrition (%) | 70 | 56 | 56 | 0.007 |
Geographical provenance | ||||
Northern Italy (n = 249) | Central Italy (n = 110) | Southern Italy (n = 77) | p-value | |
Providing telenutrition (%) | 65 | 58 | 64 | 0.56 |
Degree earned | p-value | |||
Bachelor’s Degree/1st Level University Master’s Degree (n = 302) | Master’s Degree (n = 116) | 2nd Level University Master’s Degree/Academic Doctorate Degree (n = 18) | ||
Providing telenutrition (%) | 59 | 72 | 72 | 0.019 |
Experience as RDN | p-value | |||
0–20 yrs (n = 308) | 21–40 yrs (n = 116) | 41–50 yrs (n = 12) | ||
Providing telenutrition (%) | 66 | 59 | 25 | 0.005 |
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Gnagnarella, P.; Ferro, Y.; Monge, T.; Troiano, E.; Montalcini, T.; Pujia, A.; Mazza, E. Telenutrition: Changes in Professional Practice and in the Nutritional Assessments of Italian Dietitian Nutritionists in the COVID-19 Era. Nutrients 2022, 14, 1359. https://doi.org/10.3390/nu14071359
Gnagnarella P, Ferro Y, Monge T, Troiano E, Montalcini T, Pujia A, Mazza E. Telenutrition: Changes in Professional Practice and in the Nutritional Assessments of Italian Dietitian Nutritionists in the COVID-19 Era. Nutrients. 2022; 14(7):1359. https://doi.org/10.3390/nu14071359
Chicago/Turabian StyleGnagnarella, Patrizia, Yvelise Ferro, Taira Monge, Ersilia Troiano, Tiziana Montalcini, Arturo Pujia, and Elisa Mazza. 2022. "Telenutrition: Changes in Professional Practice and in the Nutritional Assessments of Italian Dietitian Nutritionists in the COVID-19 Era" Nutrients 14, no. 7: 1359. https://doi.org/10.3390/nu14071359
APA StyleGnagnarella, P., Ferro, Y., Monge, T., Troiano, E., Montalcini, T., Pujia, A., & Mazza, E. (2022). Telenutrition: Changes in Professional Practice and in the Nutritional Assessments of Italian Dietitian Nutritionists in the COVID-19 Era. Nutrients, 14(7), 1359. https://doi.org/10.3390/nu14071359