| Literature DB >> 35781238 |
Ezgi Özalp Akın1, Fatma Tuba Eminoğlu2, Neslihan Doğulu2, Merve Koç Yekeduz2, Ummuhan Öncül2, Funda Akpınar1, Gamze Hayran1.
Abstract
OBJECTIVE: Crucial information is lacking on unmet needs of children with rare inherited metabolic disorders during the coronavirus disease 2019 pandemic from low- and middle-income countries. We aimed to identify the unmet needs of children with rare inherited metabolic disorders from Turkey.Entities:
Year: 2022 PMID: 35781238 PMCID: PMC9131828 DOI: 10.5152/TurkArchPediatr.2022.21367
Source DB: PubMed Journal: Turk Arch Pediatr ISSN: 2757-6256
Sociodemographic Characteristics and Diagnoses (N = 229)
| n | % | |
|---|---|---|
|
| ||
| Boys | 124 | 54.1 |
| Girls | 105 | 45.9 |
| Age (years) | ||
| 0-3 | 82 | 35.9 |
| 4-6 | 63 | 27.5 |
| 7-12 | 69 | 30.1 |
| 13-18 | 15 | 6.5 |
| Diagnoses | ||
| Aminoacid metabolism disorder | 92 | 40.2 |
| Mitochondrial disorder | 30 | 13.1 |
| Lysosomal and peroxisomal disorder | 29 | 12.7 |
| Organic acidemias | 22 | 9.6 |
| Carbohydrate metabolism disorder | 17 | 7.4 |
| Neurometabolic disease | 4 | 1.7 |
| Congenital glycosylation disorder | 4 | 1.7 |
| Fatty acid oxidation disorder | 3 | 1.3 |
| Urea cycle defect | 2 | 0.9 |
| Other | 26 | 11.4 |
| Children with a disability and/or significant developmental delay | 184 | 80.3 |
|
| ||
| Maternal education | ||
| Never went to school | 15 | 6.5 |
| Primary school | 61 | 26.6 |
| Secondary school | 69 | 30.1 |
| High school graduate | 49 | 21.4 |
| University education or higher | 35 | 15.4 |
| Paternal education | ||
| Never went to school | 4 | 1.7 |
| Primary school | 59 | 25.8 |
| Secondary school | 49 | 21.4 |
| High school graduate | 70 | 30.6 |
| University education or higher | 47 | 20.5 |
| Household income ≤ minimum wage (N = 204) | 106 | 52.0 |
| Multiple children | 176 | 76.9 |
| Nuclear family | 190 | 83.0 |
| Residing in Ankara | 126 | 55.0 |
COVID-19-Related Environmental Factors
| Family- and environment-related factors | N | % |
|---|---|---|
| Decrease in monthly household income | 100 | 43.7 |
| Mother reporting increased fatigue | 100 | 43.7 |
| Mother reporting depression | 67 | 29.3 |
| Loss of job of family members | 58 | 25.3 |
| COVID-19 infection in family | 43 | 18.8 |
| Change in primary caregiver | 28 | 12.2 |
| Father reporting depression | 24 | 10.5 |
COVID-19, coronavirus disease 2019.
Unmet Needs During the COVID-19 Pandemic
| Domains of Services | Met Needs Before Pandemic (N = 229) | Unmet Needs During Pandemic* | ||
|---|---|---|---|---|
| n | % | n | % | |
|
| ||||
| Access to health care for follow-up | 229 | 100.0 | 110 | 48.0 |
| Receiving medicine and/or enzyme prescriptions | 178 | 77.7 | 113 | 63.5 |
| Support for specific diet | 84 | 36.7 | 51 | 60.7 |
|
| ||||
| Preschool education (n = 97) | 28 | 28.8 | 26 | 92.3 |
| Schooling (n = 84) | 77 | 91.7 | 74 | 96.1 |
|
| ||||
| Special education for cognitive difficulties | 84 | 36.7 | 79 | 94.0 |
| Physiotherapy | 59 | 25.8 | 51 | 86.4 |
| Speech and language therapy | 32 | 14.0 | 25 | 78.1 |
| Vision/hearing rehabilitation | 5 | 2.2 | 5 | 100.0 |
| Occupational therapy | 2 | 0.8 | 2 | 100.0 |
*Unmet needs during pandemic column was calculated by dividing the number (n) of unmet needs during the pandemic to the number (N) of met needs before the pandemic.
Bivariate and Multivariable Analyses of Child-, Family-, and Environment-Related Factors Associated with the Unmet Health Care Needs
| Proportions (N = 229) | Unmet Health Care Needs Present | |||||||
|---|---|---|---|---|---|---|---|---|
| n | % | n | %* | OR | 95% CI |
| ||
|
| ||||||||
|
| ||||||||
| Sex | Girls | 105 | 45.9 | 79 | 75.2 | 1.24 | 0.69-2.40 | .469 |
| Boys | 124 | 54.1 | 88 | 71.0 | ||||
| Age | ≤3 years | 82 | 35.8 | 62 | 75.6 | 1.24 | 0.67-2.30 | .495 |
| >3 years | 147 | 64.2 | 105 | 71.4 | ||||
| Diet-dependent metabolic disorder | Present | 84 | 36.7 | 62 | 73.8 | 1.07 | 0.59-2.00 | .819 |
| Absent | 145 | 63.3 | 105 | 72.4 | ||||
| Developmental delay | Present | 184 | 80.3 | 142 | 77.2 | 2.71 | 1.37-5.35 | .003 |
| Absent | 45 | 19.7 | 25 | 55.6 | ||||
|
| ||||||||
| Nuclear family | Present | 190 | 83.0 | 138 | 72.6 | 0.92 | 0.42-2.00 | .825 |
| Absent | 39 | 17.0 | 29 | 74.4 | ||||
| Residing outside Ankara | Present | 103 | 45.0 | 81 | 78.6 | 1.71 | 0.94-3.13 | .078 |
| Absent | 126 | 55.0 | 86 | 68.3 | ||||
| Mother reporting depression | Present | 67 | 29.3 | 54 | 80.6 | 1.80 | 0.90-3.60 | .093 |
| Absent | 162 | 70.7 | 113 | 69.8 | ||||
| Income level | ≤Minimum wage | 126 | 55.0 | 90 | 71.4 | 0.84 | 0.47-1.52 | .573 |
| >Minimum wage | 103 | 45.0 | 77 | 74.8 | ||||
| Loss of job in the household | Present | 58 | 25.3 | 42 | 72.4 | 0.97 | 0.50-1.88 | .919 |
| Absent | 171 | 74.7 | 125 | 73.1 | ||||
| Decrease in monthly household income | Present | 100 | 43.7 | 78 | 78.0 | 1.59 | 0.87-2.91 | .128 |
| Absent | 129 | 56.3 | 89 | 69.0 | ||||
| Change in primary caregiver | Present | 28 | 12.2 | 22 | 78.6 | 1.42 | 0.55-3.68 | .473 |
| Absent | 201 | 87.8 | 145 | 72.1 | ||||
| Paternal education | <High school | 182 | 79.5 | 135 | 55.5 | 1.35 | 0.67-2.71 | .402 |
| ≥High school | 47 | 20.5 | 32 | 48.9 | ||||
| Maternal education | <High school | 131 | 57.2 | 94 | 71.8 | 0.87 | 0.48-1.58 | .645 |
| ≥High school | 98 | 42.8 | 73 | 74.5 | ||||
| COVID-19 in the family members | Present | 43 | 18.8 | 32 | 74.4 | 1.10 | 0.52-2.34 | .807 |
| Absent | 186 | 81.2 | 135 | 72.6 | ||||
|
| ||||||||
| Developmental delay | 2.31 | 1.14-4.67 | .020 | |||||
| Residing outside Ankara | 1.56 | 0.84-2.93 | .160 | |||||
| Mother reporting depression | 1.72 | 0.84-3.85 | .188 | |||||
| Decrease in monthly household income | 1.48 | 0.80-2.75 | .216 | |||||
OR, odds ratio; COVID-19, coronavirus disease 2019.
P values represent bivariate chi-square and multivariable logistic regression tests.
Nagelkerke R [2] =0.083, Hosmer and Lemeshov value = 0.671.
*% in unmet health care needs present column was calculated by dividing the number (n) of unmet needs by the number of sub-variables, such as girls, boys, etc., provided in the table.