| Literature DB >> 34204893 |
Amelia Faradina1, Sung-Hui Tseng2,3, Dang Khanh Ngan Ho1, Esti Nurwanti4, Hamam Hadi5,6,7, Sintha Dewi Purnamasari5,6,7, Imaning Yulia Rochmah8, Jung-Su Chang1,9,10,11.
Abstract
Good nutritional support is crucial for the immune system to fight against coronavirus disease 2019 (COVID-19). However, in the context of a pandemic with a highly transmissible coronavirus, implementation of nutrition practice may be difficult. A multicenter electronic survey involving 62 dieticians was conducted, in order to understand barriers associated with dieticians' adherence to nutrition guidelines for hospitalized COVID-19 patients in Indonesia. 69% of dieticians felt under stress when performing nutrition care, and 90% took supplements to boost their own immunity against the coronavirus. The concerns related to clinical practice included a lack of clear guidelines (74%), a lack of access to medical records (55%), inadequate experience or knowledge (48%), and a lack of self-efficacy/confidence (29%) in performing nutritional care. Half (52%) of the dieticians had performed nutrition education/counseling, 47% had monitored a patient's body weight, and 76% had monitored a patient's dietary intake. An adjusted linear regression showed that guideline adherence independently predicted the dieticians' nutrition care behaviors of nutrition counselling (ß: 0.24 (0.002, 0.08); p = 0.04), and monitoring of body weight (ß: 0.43 (0.04, 0.11); p = 0.001) and dietary intake (ß: 0.47(0.03, 0.10); p = 0.001) of COVID-19 patients. Overall, adherence to COVID-19 nutrition guidelines is associated with better nutritional management behaviors in hospitalized COVID-19 patients.Entities:
Keywords: COVID-19; Indonesia; guidelines adherence; length of stay; mortality; nutrition care
Mesh:
Year: 2021 PMID: 34204893 PMCID: PMC8226761 DOI: 10.3390/nu13061918
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Characteristics of the study participants (N = 62).
| Characteristic | Responses |
|---|---|
| Hospital Characteristic | |
|
| |
| Government hospital | 23 (52%) |
| Private hospital | 21 (48%) |
|
| |
| Yogyakarta and Central Java | 10 (23%) |
| East Java | 11 (25%) |
| Jakarta | 12 (27%) |
| West Java | 5 (11%) |
| Bali and others | 6 (14%) |
|
| 14,898.69 ± 23,441.78 |
|
| 1186 (0.02) |
|
| 19.58 ± 1.61 |
| Asymptomatic | N/A |
| Mild Illness | 12.58 ± 1.61 |
| Moderate Illness | 16.04 ± 1.55 |
| Severe Illness | 21.50 ± 2.13 |
| Critical Illness | 27.54 ± 2.64 |
|
| |
| Age (years) | 29.27 ± 6.10 |
| Female ( | 55 (89%) |
|
| |
| <1 year | 16 (26%) |
| 1~5 years | 19 (31%) |
| 5~10 years | 14 (23%) |
| >10 years | 13 (21%) |
|
| 62 (100%) |
|
| |
| Asymptomatic | 4 (6%) |
| Mild and moderate illness | 20 (32%) |
| Severe and critical illness | 38 (61%) |
|
| 43 (69%) |
|
| 56 (90%) |
| B complex | 25 (45%) |
| Vitamin C | 35 (63%) |
| Multivitamins and minerals | 17 (30%) |
| Ginger | 14 (25%) |
Continuous variables are presented as the mean ± standard deviation (SD), and categorical data as the number (n) (percentage). Mortality rate (case fatality rate) was defined as the number of deaths divided by the number of confirmed cases.
Nutrition practice and concerns related to hospitalized COVID-19 patients (N = 62).
| Nutritional Practice | Responses |
|---|---|
|
| |
| Nutrition Risk Screening-2002 (NRS-2002) | 7 (11%) |
| Mini Nutritional Assessment (MNA) | 12 (19%) |
| Malnutrition Universal Screening Tools (MUST) | 21 (34%) |
| Subjective Global Assessment (SGA) | 4 (6%) |
| Malnutrition Screening Tools (MST) | 21 (34%) |
|
| |
| Dietitian | 25 (40%) |
| Doctor | 1 (2%) |
| Nurse | 36 (58%) |
|
| 29 (47%) |
|
| |
| Dietitian | 21 (34%) |
| Nurse | 6 (20%) |
| Self-reported by patient | 2 (3%) |
|
| 47 (76%) |
|
| |
| Dietitian | 28 (35%) |
| Nurse | 13(27%) |
| Health care | 4 (8%) |
| Reported by patient | 6 (10%) |
|
| 32 (52%) |
|
| |
| Educational leaflet | 8 (13%) |
| Phone call | 19 (31%) |
| Text message | 10 (16%) |
| Meet the patient in person | 4 (6%) |
| Video call | 1 (2%) |
| Give education to the family | 1 (2%) |
|
| 60 (97%) |
| B complex | 37 (60%) |
| Vitamin C | 38 (61%) |
| Multivitamins and minerals | 30 (48%) |
| Zinc | 25 (40%) |
| Omega-3 fatty acids | 17 (27%) |
|
| 42 (68%) |
| Modify total energy | 39 (63%) |
| Modify carbohydrate content | 15 (24%) |
| Modify protein content | 42 (68%) |
| Modify lipid content | 10 (16%) |
| Modify fruits and vegetables | 20 (32%) |
| Give supplements | 13 (21%) |
| No differences | 7 (11%) |
|
| 3.37 ± 0.96 |
|
| |
| Lack of clear guidelines | 46 (74%) |
| Lack of self-efficacy or confidence in performing nutritional care | 18 (29%) |
| Inadequate experience or knowledge | 30 (48%) |
| Limited budget | 16 (26%) |
| Lack of time | 7 (11%) |
| Lack of resources | 18 (29%) |
| Limited food supply | 18 (29%) |
| Lack of access to meet COVID-19 patients | 34 (55%) |
| Lack of access to medical records | 9 (15%) |
Continuous variables are presented as the mean ± standard deviation (SD). Categorical variables are presented as number (n) (percentage).
Barriers to dietician adherence to nutritional guidelines in relation to nutritional practice behaviors of hospitalized COVID-19 patients.
| Barriers | Total | Years of Practice | ||
|---|---|---|---|---|
| ( | ≤5 Years ( | >5 Years ( | ||
|
| ||||
| Awareness of guidelines | ||||
| ESPEN guidelines on clinical nutrition in the intensive care unit [ | 36 (58%) | 23 (66%) | 13 (48%) | 0.165 |
| ESPEN expert statements and practical guidance for nutritional management of individuals with SARS-CoV-2-infection (Europe) [ | 15 (24%) | 8 (23%) | 7 (26%) | 0.780 |
| Nutrition Therapy in Patients with COVID-19 Disease Requiring ICU Care (reviewed and approved by the Society of Critical Care Medicine and the American Society for Parenteral and Enteral Nutrition) [ | 22 (35%) | 12 (34%) | 10 (37%) | 0.822 |
| Coronavirus Disease 2019 (COVID-19) Treatment Guidelines (National Institutes of Health, USA) [ | 40 (65%) | 20 (57%) | 20 (74%) | 0.167 |
| Familiarity with the guidelines | ||||
| The nutritional assessment and early nutritional care management of COVID-19 patients must be integrated into the overall therapeutic strategy | 62 (100%) | 35 (100%) | 27 (100%) | NA |
| It is important to conduct nutritional screening and nutritional assessment of hospitalized Covid-19 patients | 61 (98%) | 34 (97%) | 27 (100%) | 0.376 |
| It is important to monitor the body weight change in hospitalized COVID-19 patients | 48 (77%) | 27 (77%) | 21 (78%) | 0.953 |
| It is important to monitor the dietary intake of hospitalized COVID-19 patients | 62 (100%) | 35 (100%) | 27 (100%) | NA |
| Nutrition therapy plays an important role in the outcomes of COVID-19 treatment | 62 (100%) | 35 (100%) | 27 (100%) | NA |
| Nutrition supplementation is useful for treating COVID-19 patients | 60 (97%) | 33 (94%) | 27 (100%) | 0.207 |
| Nutrition counseling is important for COVID-19 patients | 59 (95%) | 32 (91%) | 27 (100%) | 0.119 |
| Lack of clear guidelines | 46 (74%) | 29 (83%) | 17 (63%) | 0.076 |
|
| ||||
| Self-efficacy/confidence in performing nutritional care | ||||
| I am knowledgeable about the role of nutrition therapy for COVID-19 patients | 37 (60%) | 15 (43%) | 22 (81%) | 0.004 |
| Self-efficacy or confidence in performing nutrition care for hospitalized COVID-19 patients | 44 (71%) | 20 (45%) | 24 (89%) | 0.006 |
| I have adequate knowledge to design meals for hospitalized COVID-19 patients | 32 (52%) | 16 (50%) | 16 (50%) | 0.290 |
| Motivation in performing nutritional care | ||||
| I regularly make decisions regarding nutrition therapy as part of the management of COVID-19 patients | 50 (81%) | 28 (80%) | 22 (81%) | 0.884 |
| I have an obligation to improve the health of COVID-19 patients by discussing nutrition with them | 59 (95%) | 33 (94%) | 26 (96%) | 0.715 |
| I feel stress when performing nutrition care for hospitalized COVID-19 patients | 43 (69%) | 29 (83%) | 14 (52%) | 0.009 |
|
| ||||
| Lack of time | 7 (11%) | 4 (11%) | 3 (11%) | 0.969 |
| Lack of resources | 18 (29%) | 11 (31%) | 7 (26%) | 0.636 |
| Limited budget | 16 (26%) | 8 (23%) | 8 (30%) | 0.546 |
| Limited food supplies | 18 (29%) | 13 (37%) | 5 (19%) | 0.109 |
| Lack of access to meet hospitalized COVID-19 patients | 34 (55%) | 16 (46%) | 18 (67%) | 0.100 |
| Lack of access to medical records | 9 (15%) | 4 (11%) | 5 (19%) | 0.432 |
| Inadequate authority to perform nutritional care for hospitalized COVID-19 patients | 4 (6%) | 3 (9%) | 1 (4%) | 0.439 |
|
| ||||
| Perform nutrition education or counseling for hospitalized COVID-19 patients | 32 (52%) | 25 (71%) | 7 (26%) | <0.0001 |
| Monitor body weight of hospitalized COVID-19 patients | 29 (47%) | 19 (54%) | 10 (37%) | 0.177 |
| Monitor dietary intake of hospitalized COVID-19 patients | 47 (76%) | 26 (74%) | 21 (78%) | 0.502 |
All variables are expressed as the number (n), percentage (%). * The p value was analyzed using unpaired Student’s t-test for continuous variables or Chi-squared test for categorical variables.
Adjusted multivariate regression coefficient (ß) and 95% confidence intervals (CIs) of barriers of nutrition practice behaviors of COVID-19 patients.
| Variables | Lack of Self-Efficacy * | Nutrition | Monitor Body Weight * | Monitor Dietary Intake * | ||||
|---|---|---|---|---|---|---|---|---|
| Disease severity | 0.22 (−0.01, 0.33) | 0.057 | 0.24 (−0.02, 0.41) | 0.077 | 0.05 (−0.17, 0.25) | 0.690 | 0.15 (−0.09, 0.28) | 0.286 |
| Type of hospital | −0.07 (−0.29, 0.15) | 0.527 | 0.05 (−0.20, 0.30) | 0.674 | 0.03 (−0.29, 0.24) | 0.844 | 0.11 (−0.32, 0.14) | 0.435 |
|
| −0.25 (−0.07, −0.01) | 0.030 | 0.24 (0.01, 0.08) | 0.040 | 0.43 (0.04, 0.11) | 0.001 | 0.47 (0.03, 0.10) | 0.001 |
|
| −0.15 (−0.12, 0.03) | 0.209 | 0.19 (−0.03, 0.15) | 0.157 | 0.13 (−0.04, 0.13) | 0.287 | 0.05 (−0.06, 0.09) | 0.708 |
| Guideline awareness | −0.01 (−0.08, 0.08) | 0.969 | 0.70 (0.18, 0.31) | <0.0001 | 0.15 (−0.04, 0.15) | 0.273 | 0.35 (0.03, 0.19) | 0.010 |
| Guideline Familiarity | −0.05 (−0.22, 0.14) | 0.666 | 0.11 (0.13, 0.33) | 0.402 | 0.01 (−0.19, 0.18) | 0.936 | 0.03 (−0.22, 0.17) | 0.173 |
|
| NA | 0.07 (−0.08, 0.14) | 0.584 | 0.15 (−0.30, 0.13) | 0.210 | 0.03 (0.02, 0.15) | 0.012 | |
| Self-efficacy or confidence | NA | 0.05 (−0.45, 0.03) | 0.660 | 0.08 (−0.10, 0.19) | 0.643 | 0.31 (0.03, 0.26) | 0.013 | |
| Motivation | −0.18 (−0.04, 0.35) | 0.112 | 0.03 (−0.26, 0.20) | 0.800 | 0.07 (−0.17, 0.30) | 0.568 | 0.23 (0.02, 0.39) | 0.040 |
| Feel stress | 0.23 (−0.48, 0.31) | 0.080 | −0.37 (−0.67, −0.12) | 0.006 | −0.24 (−0.57, 0.04) | 0.091 | −0.21 (−0.46, 0.08) | 0.172 |
|
| −0.15 (−0.15, 0.03) | 0.186 | 0.08 (−0.15, 0.08) | 0.535 | 0.15 (−0.04, 0.18) | 0.217 | 0.12 (−0.06, 0.14) | 0.384 |
Total adherence score (maximum 28 points) was defined as knowledge (12 questions), attitudes (six questions), environmental factors (seven questions), and behaviors (three questions). * Results were adjusted for age, gender, years of practice, and type of hospital.