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. 2018 Mar 15;18:114. doi: 10.1186/s12887-018-1086-y

Health-related quality of life of the parents of children hospitalized due to acute rotavirus infection: a cross-sectional study in Latvia

Gunta Laizane 1,, Anda Kivite 2, Inese Stars 2, Marita Cikovska 1, Ilze Grope 1, Dace Gardovska 1
PMCID: PMC5856199  PMID: 29544465

Abstract

Background

Rotavirus is the leading cause of severe diarrhea in young children and infants worldwide, representing a heavy public health burden. Limited information is available regarding the impact of rotavirus gastroenteritis on the quality of life of affected children and their families.

The objectives of study were to estimate the impact of rotavirus infection on health-related quality of life (HRQL), to assess the social and emotional effects on the families of affected children.

Methods

This study enrolled all (n = 527) RotaStrip®-positive (with further PCR detection) cases (0–18 years of age) hospitalized from April 2013 to December 2015 and their caregivers. A questionnaire comprising clinical (filled-in by the medical staff) and social (filled by the caregivers) sections was completed per child.

Results

Main indicators of emotional burden reported by caregivers were compassion (reported as severe/very severe by 91.1% of parents), worry (85.2%), stress/anxiety (68.0%). Regarding social burden, 79.3% of caregivers reported the need to introduce changes into their daily routine due to rotavirus infection of their child. Regarding economic burden, 55.1% of parents needed to take days off work because of their child’s sickness, and 76.1% of parents reported additional expenditures in the family’s budget.

Objective measures of their child’s health status were not associated with HRQL of the family, as were the parent’s subjective evaluation of their child’s health and some sociodemographic factors. Parents were significantly more worried if their child was tearful (p = 0.006) or irritable (p < 0.001). Parents were more stressful/anxious if their child had a fever (p = 0.003), was tearful (p < 0.001), or was irritable (p < 0.001). Changes in parents’ daily routines were more often reported if the child had a fever (p = 0.02) or insufficient fluid intake (p = 0.04).

Conclusion

Objective health status of the child did not influence the emotional, social or economic burden, whereas the parents’ subjective perception of the child’s health status and sociodemographic characteristics, were influential.

A better understanding of how acute episodes affect the child and family, will help to ease parental fears and advise parents on the characteristics of rotavirus infection and the optimal care of an infected child.

Keywords: Rotavirus gastroenteritis, Health-related quality of life, Latvia, Childhood, Acute, Impact, Family

Background

Rotavirus is known to be the leading cause of severe gastroenteritis among infants and young children worldwide [1]. Rotavirus gastroenteritis is frequently associated with severe disease symptoms (vomiting, diarrhea, dehydration, etc.) and increased hospitalization episodes compared to other types of acute gastroenteritis caused by infectious agents [2].

Rotavirus gastroenteritis represents a heavy public health burden [3]. From 2010 to 2015, an average of 3000 registered rotavirus cases per year are reported in the age group of 0–6 years, being responsible for an average of approximately 1000 hospitalizations per year in Latvia [4].

The epidemiology of rotavirus gastroenteritis is well documented [5], but these data are not the only indicators of disease burden. Limited information is available regarding the impact of rotavirus gastroenteritis on the quality of life of affected children and their families [5].

Health-related quality of life (HRQL) refers to the subjective and objective impact of dysfunction associated with an illness or injury, medical treatment, and health care policy [6] and integrates physical, emotional and social well-being and functioning as perceived by the individual [7]. In pediatric research, HRQL measure has received an increasing attention and is recognized as a substantial health outcome [8]. Pediatric HRQL research is necessary to examine broader psychosocial outcomes and provide an in-depth understanding of the effects of disease and treatment on children’s health status [9]. Nerveless, this measure is primarily used in children with various chronic diseases [8].

In the case of pediatric disease, assessment of HRQL of the family is becoming increasingly important because a child’s illness affects the whole family as a holistic system. Studies in this area provide information on family needs, responses to the child’s disease, coping strategies and changes in family functioning. Most studies are related to childhood chronic diseases, such as congenital heart disease [7], bleeding disorders [10], atopic dermatitis [11], attention deficit/hyperactivity disorder [12], chronic kidney disease [13], and juvenile idiopathic arthritis [14], etc., in association with the quality of family life because of the long-term progression of such diseases and their impact on quality of life.

Less information is available regarding associations between temporary health conditions, such as acute rotavirus gastroenteritis, and HRQL. However, as childhood rotavirus gastroenteritis is a public health problem, it should be evaluated beyond clinical trials with respect to the psychological, social and economic consequences of the disease.

Studies that evaluated the effect of acute childhood rotavirus gastroenteritis on the family have revealed negative effects on family function and parental psycho-emotional wellbeing [5, 1517]. Parents indicated economic impact, such as lost work days lost due to the child’s disease [5] and additional direct costs [17], disruption of schedules and restrictions on daily activities [1517], high distress and worries due to symptoms [5, 1517], exhaustion and helplessness [16], need for additional childcare and the use of more nappies [5].

The aim of this study was to estimate the impact of rotavirus infection on HRQL and to assess the social and emotional impacts on the families of affected children. In addition, the factors associated with HRQL characteristics will be clarified.

This article reports the family impact of rotavirus gastroenteritis requiring hospitalization of a child based on individual interviews with parents or legal caregivers and objective data from patient files.

Methods

Study design

To investigate the quality of life of families where child is suffering from acute rotavirus infection, a quantitative cross-sectional study was carried out among caregivers of children who had been hospitalized in the Children’s Clinical University Hospital in Riga from April 2013 to December 2015.

Inclusion and exclusion criteria

The study enrolled all hospital cases of rotavirus-positive children (0–18 years of age) and their caregivers (parents or legal family representatives). Caregivers had to be willing to participate and provide written consent. As exclusion criteria included the absence of caregivers or caregivers not providing signed consent.

Data collection

Parents, of the laboratory confirmed rotavirus positive children, were invited to participate in individual interviews. The interviewer collected data regarding the clinical status of the child from patient files, and interviewed parents about emotional, social and economic factors pertaining to their child affecting their daily lives. All results and answers were collated in a questionnaire.

Instruments used

A questionnaire was developed to estimate the impact of rotavirus infection on parents of affected children.

The questionnaire consisted of two general parts: clinical (filled-in by the medical staff) and social (filled by the caregivers) parts. The clinical part posed questions regarding the demographic data of the patient and family, and objective and subjective signs and symptoms to determine the clinical severity of the case. To categorize clinical severity, the Vesikari score [18] was used. The social part of the questionnaire was developed based on concepts and research methods used in previous similar studies [5, 1517] and covered the following domains of the impact of pediatric rotavirus on the family: 1) parental emotional wellbeing and feelings (distress; helplessness; mental exhaustion; worry; anxiety for the child; fear of being infected; feelings of guilt); 2) social burden of disease (or the disease impact on parents’ daily activities (work schedule, training plans (syllabus), leisure time activities, domestic works (household)); 3) economic burden of the disease (working days lost due to child disease, additional financial expenditures); 4) parental opinion about the child’s physical symptoms (diarrhea, vomiting, fever, abdominal pain, dehydration, loss of appetite) and changes in behavior (apathy, sleeping disorders, irritability, anxiety); 5) parental opinion about rotavirus vaccine use (awareness of vaccine existence (yes/no); use of vaccine (yes/no; if answered “no”, the parents were asked about their motives for refusal).

Five-hundred twenty-seven hospitalized RotaStrip®-positive subjects further confirmed by PCR were enrolled in the study from April 2013 to December 2015. Totally 3301 hospitalized cases were registered from 2013 to 2015. As all enrolled patients were rotavirus-positive, the study did not have a rotavirus negative control group, but that can be considered in future research.

Statistical analysis

Descriptive statistics such as means for continuous variables and proportions for categorical variables were calculated. To evaluate the statistical significance of the differences of proportions of severe/very severe cases between subgroups, a Chi-square test or Fisher’s exact test were used. Statistical significance was set at p = 0.05.

Data processing was performed using IBM SPSS Statistics (Statistical Package for the Social Science, Version 22.0).

Results

Demographic characteristics of study subjects and their parents

The characteristics of the subjects and their parents are summarized in Table 1 (uploaded as separate file). The children’s mean age was 26.1 months, and the sex ratio was balanced between male and female subjects. The majority of responding parents where in the 25–34 year-old age group. Collected data on education levels revealed that majority of mothers had a higher education; among fathers - persons with secondary/vocational education and a higher education were equally represented. Most respondents had a stable social status, and were living in urban areas. Low income citizens are defined by Cabinet of Ministers of Latvia by regulation No.299. It determines that citizens with total monthly income less than 128.06 EUR per family member, can obtain status of low income person, and may apply for social support. Others have stable social status [19].

Table 1.

Demographic and clinical characteristics of the study subjects and their parents (n = 527a)

Parameter Number Percent
Age of the child (months)
 Mean (range) 26.1 (1–209)
   ≤ 12 156 29.7
  13–24 168 31.9
  25–36 89 16.9
   ≥ 37 113 21.5
Gender of the child
 Female 258 49.0
 Male 269 51.0
Age of the mother (years)
  ≤ 24 55 10.5
 25–34 335 63.8
 35–44 127 24.2
  ≥ 45 8 1.5
Age of the father (years)
  ≤ 24 27 5.3
 25–34 281 55.1
 35–44 164 32.2
  ≥ 45 38 7.5
Education of mother
 Primary 29 5.6
 Secondary/vocational 189 36.2
 Higher 304 58.2
Education of father
 Primary 36 7.2
 Secondary/vocational 245 48.7
 Higher 222 44.1
Place of residence
 Urban 449 87.2
 Rural 66 12.8
Social status
 Low-income 28 5.4
 Socially stable 491 94.6

aThe sum of the stratified numbers can differ according to the parameters due to missing values

Objective and subjective appraisal of child’s health status

Clinical symptoms were categorized as severe according to the Vesikari score [18] in 93% patients (n = 463) and moderate in 7% (n = 35); no mild cases were detected. The objective and subjective appraisals of the health status of the included children are summarized in Table 2 (uploaded as separate file). Three symptoms most often notified by parents as very severe were diarrhea (mentioned by 53.6% (n = 280) of parents), insufficient fluid intake (49.6%, n = 259) and loss of appetite (41.5%, n = 215).

Table 2.

Objective and subjective appraisal of the child’s health status (n = 527a)

Parameter Number Percent
Maximal number of vomiting episodes per day
 Mean (range) 2.1 (0–3)
Number of diarrhea episodes per 24 h
 Mean (range) 2.5 (1–3)
Severity (assessed by Vesikari score)
 Mild 0 0
 Moderate 35 7.0
 Severe 463 93.0
Severity of symptoms (assessed by parent)
 Diarrhea
  Not at all 16 3.1
  Mild 17 3.3
  Moderate 77 14.8
  Severe 132 25.3
  Very severe 280 53.6
 Vomiting
  Not at all 82 15.7
  Mild 61 11.7
  Moderate 87 16.7
  Severe 111 21.3
  Very severe 181 34.7
 Fever
  Not at all 78 15.0
  Mild 65 12.5
  Moderate 110 21.2
  Severe 109 21.0
  Very severe 158 30.4
 Abdominal pain
  Not at all 92 18.1
  Mild 71 14.0
  Moderate 135 26.6
  Severe 108 21.3
  Very severe 102 20.1
 Insufficient fluid intake
  Not at all 40 7.7
  Mild 34 6.5
  Moderate 84 16.1
  Severe 105 20.1
  Very severe 259 49.6
 Loss of appetite
  Not at all 45 8.7
  Mild 44 8.5
  Moderate 106 20.1
  Severe 108 20.5
  Very severe 215 41.5
 Apathy
  Not at all 43 8.4
  Mild 42 8.2
  Moderate 106 20.6
  Severe 139 27.0
  Very severe 184 35.8
 Inflamed bottom
  Not at all 203 39.2
  Mild 81 15.6
  Moderate 87 16.8
  Severe 67 12.9
  Very severe 80 15.4
 Interrupted sleep mode
  Not at all 167 32.2
  Mild 94 18.1
  Moderate 121 23.3
  Severe 82 15.8
  Very severe 55 10.6
 Tearfulness
  Not at all 78 15.0
  Mild 75 14.4
  Moderate 153 29.4
  Severe 131 25.2
  Very severe 83 16.0
 Anxiety, irritability
  Not at all 124 23.9
  Mild 95 18.3
  Moderate 121 23.4
  Severe 104 20.1
  Very severe 74 14.3

aThe sum of the stratified numbers can differ according to the parameters due to missing values

Assessment of emotional, social and economic impact of the disease on the family quality of life

Emotional, social, and economic impact of the disease is summarized in Table 3 (uploaded as separate file). Speaking about emotional burden of rotavirus infection - a very high level of compassion was found, mentioned as very severe in 76.4% (n = 402) of questionnaires, followed by a very high level of worry in 59.6% (n = 311) of cases and stress/anxiety (37.8% (n = 199) of cases). Social burden was analyzed by changes in daily routines, and the analyzed data showed that 79.0% (n = 413) of families had changes in their daily routine. Economic impact was analyzed by describing parental work day loss directly related to episodes of their child’s illness. It revealed that only 33.1% (n = 173) of parents did not need to take any days off work. Additionally - 75.2% (n = 380) of respondents had extra expenditures due to the disease (symptomatic drugs, diapers, etc.).

Table 3.

Assessment of emotional, social and economic impact of the disease on the family quality of life (n = 527a)

Parameter Number Percent
Emotional burden
 Stress, anxiety
  Not at all 15 2.9
  Mild 46 8.7
  Moderate 112 21.3
  Severe 154 29.3
  Very severe 199 37.8
 Helplessness, despair
  Not at all 108 20.6
  Mild 77 14.7
  Moderate 130 24.8
  Severe 95 18.1
  Very severe 114 21.8
 Exhaustion
  Not at all 55 10.5
  Mild 62 11.8
  Moderate 149 28.4
  Severe 110 21.0
  Very severe 148 28.2
 Worry
  Not at all 10 1.9
  Mild 18 3.4
  Moderate 53 10.2
  Severe 130 24.9
  Very severe 311 59.6
 Compassion
  Not at all 8 1.5
  Mild 4 0.8
  Moderate 30 5.7
  Severe 82 15.6
  Very severe 402 76.4
 Fear to get infected
  Not at all 265 50.4
  Mild 91 17.3
  Moderate 75 14.3
  Severe 44 8.4
  Very severe 51 9.7
 Guilt
  Not at all 199 38.0
  Mild 82 15.6
  Moderate 94 17.9
  Severe 60 11.5
  Very severe 89 17.0
Social burden
 Changes in daily routine
  Yes 413 79.0
  No 110 21.0
Economic burden
 Days off work
  None 173 33.1
  1–2 117 22.4
  3–4 96 18.4
  5+ 76 14.5
  Not employed 61 11.7
 Other expenditures
  Yes 380 75.2
  No 125 24.8

aThe sum of the stratified numbers can differ according to the parameters due to missing values

Factors associated with the impact of the disease on the family quality of life

To evaluate the emotional burden of the disease, the three most common indicators of emotional burden were chosen for the further analysis, i.e., compassion, worry and stress/anxiety. To better perceive and interpret the data for further analysis the categories “severe” and “very severe” were combined, and the categories “mild” and “not at all” were combined.

In Table 4 (uploaded as separate file) the independent factors (sociodemographic, subjective and objective health status indicators) associated with the emotional burden of the disease are summarized.

Table 4.

Emotional burden (stress/anxiety, worry, compassion) of the disease stratified by the associated factors (n = 527a)

Factor Not at all / mild Moderate Severe / very severe p
Number % Number % Number %
STRESS / ANXIETY
Sociodemographic factors
  Gender
   Female 33 12.8 46 17.9 178 69.3 0.16
   Male 28 10.4 66 24.5 175 65.1
  Age
    ≤ 12 months 15 9.6 37 23.7 104 66.7 0.24
   13–24 months 16 9.5 34 20.2 118 70.2
   25–36 months 9 10.2 21 23.9 58 65.9
   37+ months 21 18.6 20 17.7 72 63.7
  Age of the mother
    ≤ 24 years 5 9.1 12 21.8 38 69.1 0.78
   25–34 years 35 10.4 73 21.8 227 67.8
   35–44 years 20 15.9 24 19.0 82 65.1
   45+ years 1 12.5 2 25.0 5 62.5
  Age of the father
    ≤ 24 years 2 7.4 7 25.9 18 66.7 0.99
   25–34 years 35 12.5 59 21.0 187 65.5
   35–44 years 19 11.6 35 21.3 110 67.1
   45+ years 4 10.8 8 21.6 25 67.6
  Education of the mother
   Primary 4 13.8 5 17.2 20 69.0 0.95
   Secondary / vocational 23 12.2 38 20.1 128 67.7
   Higher 34 11.2 67 22.1 202 66.7
  Education of the father
   Primary 7 19.4 6 16.7 23 63.9 0.57
   Secondary / vocational 25 10.2 55 22.5 164 67.2
   Higher 28 12.6 47 21.2 147 66.2
  Family structure
   Both parents 58 11.8 106 21.6 327 66.6 0.20
   Single parent 1 3.6 4 14.3 23 82.1
  Place of residence
   Urban 55 12.3 96 21.4 297 66.3 0.74
   Rural 6 9.1 14 21.2 46 69.7
Objective evaluation of the health status
  Vomiting (times per 24 h)
   0 1 33.3 0 0 2 66.7 0.36
   1 12 12.4 18 18.6 67 69.1
   2 28 12.4 58 25.7 140 61.9
   3 18 10.8 30 18.0 119 71.3
  Diarrhea (times per 24 h)
   1 9 14.3 12 19.0 42 66.7 0.95
   2 13 10.6 27 22.0 83 67.5
   3 37 11.9 68 21.8 207 66.3
  Severity of episode (Vesikari)
   Moderate 4 11.4 6 17.1 25 71.4 0.79
   Severe / very severe 55 11.9 101 21.9 306 66.2
Subjective evaluation of the health status
  Severity of diarrhea
   Not at all / mild 5 15.2 5 15.2 23 69.7 0.41
   Moderate 13 17.1 17 22.4 46 60.5
   Severe / very severe 43 10.4 89 21.6 280 68.0
  Severity of vomiting
   Not at all / mild 15 10.5 35 24.5 93 65.0 0.33
   Moderate 6 6.9 21 24.1 60 69.0
   Severe / very severe 40 13.7 56 19.2 195 67.0
  Severity of fever
   Not at all / mild 22 15.4 44 30.8 77 53.8 0.003
   Moderate 10 9.2 22 20.2 77 70.6
   Severe / very severe 29 10.9 45 16.9 193 72.3
  Severity of abdominal pain
   Not at all / mild 24 14.7 34 20.9 105 64.4 0.61
   Moderate 14 10.4 32 23.9 88 65.7
   Severe / very severe 21 10.0 44 21.0 145 69.0
  Severity of insufficient fluid intake
   Not at all / mild 8 10.8 16 21.6 50 67.6 0.74
   Moderate 11 13.1 22 26.2 51 60.7
   Severe / very severe 42 11.6 73 20.1 248 68.3
  Severity of loss of appetite
   Not at all / mild 13 14.6 19 21.3 57 64.0 0.07
   Moderate 9 8.5 33 31.1 64 60.4
   Severe / very severe 39 12.1 59 18.3 224 69.6
  Severity of apathy
   Not at all / mild 7 8.2 20 23.5 58 68.2 0.37
   Moderate 17 16.0 25 23.6 64 60.4
   Severe / very severe 36 11.2 64 19.9 222 68.9
  Severity of inflamed bottom
   Not at all / mild 38 13.4 66 23.2 180 63.4 0.35
   Moderate 10 11.6 14 16.3 62 72.1
   Severe / very severe 13 8.8 30 20.4 104 70.7
  Severity of interrupted sleep mode
   Not at all / mild 36 13.8 54 20.8 170 65.4 0.19
   Moderate 14 11.6 32 26.4 75 62.0
   Severe / very severe 11 8.0 25 18.2 101 73.7
  Severity of tearfulness
   Not at all / mild 35 22.9 30 19.6 88 57.5 < 0.001
   Moderate 12 7.9 43 28.3 97 63.8
   Severe / very severe 14 6.5 39 18.2 161 75.2
  Severity of anxiety / irritability
   Not at all / mild 44 20.2 47 21.6 127 58.3 < 0.001
   Moderate 9 7.4 36 29.8 76 62.8
   Severe / very severe 8 4.5 27 15.2 143 80.3
WORRY
Sociodemographic factors
  Gender
   Female 12 4.7 20 7.8 224 87.5 0.16
   Male 16 6.0 33 12.4 217 81.6
  Age
    ≤ 12 months 6 3.9 16 10.4 132 85.7 0.12
   13–24 months 6 3.6 15 8.9 147 87.5
   25–36 months 5 5.7 6 6.9 76 87.4
   37+ months 11 9.8 16 14.3 85 75.9
  Age of mother
    ≤ 24 years 4 7.3 1 1.8 50 90.9 0.21
   25–34 years 15 4.5 35 10.5 283 85.0
   35–44 years 9 7.3 14 11.3 101 81.5
   45+ years 0 0 2 25.0 6 75.0
  Age of father
    ≤ 24 years 1 3.7 1 3.7 25 92.6 0.81
   25–34 years 15 5.4 27 9.6 238 85.0
   35–44 years 9 5.6 18 11.1 135 83.3
   45+ years 1 2.8 5 13.9 30 83.3
  Education of mother
   Primary 0 0 2 6.9 27 93.1 0.58
   Secondary / vocational 11 5.9 16 8.6 159 85.5
   Higher 17 5.6 33 10.9 252 83.4
  Education of father
   Primary 3 8.3 0 0 33 91.7 0.30
   Secondary / vocational 12 5.0 26 10.8 203 84.2
   Higher 11 5.0 24 10.9 186 84.2
  Family structure
   Both parents 26 5.3 49 10.0 413 84.6 0.92
   Single parent 1 3.6 3 10.7 24 85.7
  Place of residence
   Urban 25 5.6 48 10.8 372 83.6 0.27
   Rural 3 4.6 3 4.6 59 90.8
Objective evaluation of the health status
  Vomiting (times per 24 h)
   0 1 33.3 0 0 2 66.7 0.21
   1 6 6.3 6 6.3 84 87.5
   2 11 4.9 26 11.6 187 83.5
   3 6 3.6 19 11.4 141 84.9
  Diarrhea (times per 24 h)
   1 6 9.5 3 4.8 54 85.7 0.13
   2 5 4.1 10 8.1 108 87.8
   3 13 4.2 38 12.3 257 83.4
  Severity of episode (Vesikari)
   Moderate 2 5.7 2 5.7 31 88.6 0.64
   Severe / very severe 22 4.8 49 10.7 387 84.5
Subjective evaluation of the health status
  Severity of diarrhea
   Not at all / mild 2 6.1 5 15.2 26 78.8 0.07
   Moderate 9 11.8 6 7.9 61 80.3
   Severe / very severe 17 4.2 41 10.0 350 85.8
  Severity of vomiting
   Not at all / mild 7 4.9 13 9.2 122 85.9 0.09
   Moderate 1 1.1 14 16.1 72 82.8
   Severe / very severe 20 6.9 25 8.7 243 84.4
  Severity of fever
   Not at all / mild 11 7.8 13 9.2 117 83.0 0.14
   Moderate 5 4.6 17 15.7 86 79.6
   Severe / very severe 12 4.5 22 8.3 232 87.2
  Severity of abdominal pain
   Not at all / mild 13 8.0 18 11.0 132 81.0 0.34
   Moderate 8 6.1 14 10.7 109 83.2
   Severe / very severe 7 3.3 19 9.1 183 87.6
  Severity of insufficient fluid intake
   Not at all / mild 5 6.8 6 8.1 63 85.1 0.89
   Moderate 3 3.6 9 10.7 72 85.7
   Severe / very severe 20 5.6 37 10.3 302 84.1
  Severity of loss of appetite
   Not at all / mild 5 5.6 9 10.1 75 84.3 0.57
   Moderate 3 2.9 14 13.5 87 83.7
   Severe / very severe 19 5.9 29 9.0 273 85.0
  Severity of apathy
   Not at all / mild 1 1.2 12 14.3 71 84.5 0.24
   Moderate 7 6.6 12 11.3 87 82.1
   Severe / very severe 19 5.9 28 8.8 273 85.3
  Severity of inflamed bottom
   Not at all / mild 20 7.1 34 12.0 229 80.9 0.13
   Moderate 4 4.7 5 5.8 77 89.5
   Severe / very severe 4 2.8 13 9.0 128 88.3
  Severity of interrupted sleep mode
   Not at all / mild 19 7.4 26 10.1 213 82.6 0.33
   Moderate 5 4.2 14 11.7 101 84.2
   Severe / very severe 4 2.9 12 8.8 121 88.3
  Severity of tearfulness
   Not at all / mild 16 10.5 19 12.5 117 77.0 0.006
   Moderate 6 4.0 16 10.6 129 85.4
   Severe / very severe 6 2.8 16 7.5 191 89.7
  Severity of anxiety / irritability
   Not at all / mild 21 9.7 26 12.0 170 78.3 < 0.001
   Moderate 2 1.7 19 15.8 99 82.5
   Severe / very severe 5 2.8 7 4.0 165 93.2
COMPASSION
Sociodemographic factors
  Gender
   Female 3 1.2 15 5.8 239 93.0 0.25
   Male 9 3.3 15 5.6 245 91.1
  Age
    ≤ 12 months 3 1.9 4 2.6 149 95.5 0.21
   13–24 months 6 3.6 9 5.4 153 91.1
   25–36 months 1 1.1 6 6.8 81 92.0
   37+ months 2 1.8 11 9.7 100 88.5
  Age of mother
    ≤ 24 years 1 1.8 1 1.8 53 96.4 0.68
   25–34 years 8 2.4 17 5.1 310 92.5
   35–44 years 3 2.4 10 7.9 113 89.7
   45+ years 0 0 1 12.5 7 87.5
  Age of father
    ≤ 24 years 0 0 1 3.7 26 96.3 0.43
   25–34 years 7 2.5 11 3.9 263 93.6
   35–44 years 5 3.0 11 6.7 148 90.2
   45+ years 0 0 4 10.8 33 89.2
  Education of mother
   Primary 0 0 1 3.4 28 96.6 0.36
   Secondary / vocational 7 3.7 8 4.2 174 92.1
   Higher 5 1.7 20 6.6 278 91.7
  Education of father
   Primary 4 11.1 2 5.6 30 83.3 0.01
   Secondary / vocational 4 1.6 13 5.3 227 93.0
   Higher 4 1.8 11 5.0 207 93.2
  Family structure
   Both parents 12 2.4 27 5.5 452 92.1 0.67
   Single parent 0 0 2 7.1 26 92.9
  Place of residence
   Urban 11 2.5 27 6.0 410 91.5 0.79
   Rural 1 1.5 3 4.5 62 93.9
Objective evaluation of the health status
  Vomiting (times per 24 h)
   0 0 0 0 0 3 100.0 0.22
   1 4 4.1 10 10.3 83 85.6
   2 4 1.8 9 4.0 213 94.2
   3 2 1.2 10 6.0 155 92.8
  Diarrhea (times per 24 h)
   1 1 1.6 6 9.5 56 88.9 0.54
   2 4 3.3 6 4.9 113 91.9
   3 5 1.6 17 5.4 290 92.9
  Severity of episode (Vesikari)
   Moderate 0 0 4 11.4 31 88.6 0.24
   Severe / very severe 10 2.2 25 5.4 427 92.4
Subjective evaluation of the health status
  Severity of diarrhea
   Not at all / mild 0 0 2 6.1 31 93.9 0.48
   Moderate 3 3.9 2 2.6 71 93.4
   Severe / very severe 8 1.9 26 6.3 378 91.7
  Severity of vomiting
   Not at all / mild 2 1.4 12 8.4 129 90.2 0.32
   Moderate 3 3.4 2 2.3 82 94.3
   Severe / very severe 6 2.1 16 5.5 269 92.4
  Severity of fever
   Not at all / mild 3 2.1 11 7.7 129 90.2 0.84
   Moderate 2 1.8 6 5.5 101 92.7
   Severe / very severe 6 2.2 13 4.9 248 92.9
  Severity of abdominal pain
   Not at all / mild 6 3.7 12 7.4 145 89.0 0.31
   Moderate 1 0.7 6 4.5 127 94.8
   Severe / very severe 4 1.9 10 4.8 196 93.3
  Severity of insufficient fluid intake
   Not at all / mild 0 0 5 6.8 69 93.2 0.41
   Moderate 2 2.4 2 2.4 80 95.2
   Severe / very severe 9 2.5 23 6.3 331 91.2
  Severity of loss of appetite
   Not at all / mild 2 2.2 4 4.5 83 93.3 0.98
   Moderate 2 1.9 6 5.7 98 92.5
   Severe / very severe 7 2.2 20 6.2 295 91.6
  Severity of apathy
   Not at all / mild 3 3.5 7 8.2 75 88.2 0.60
   Moderate 3 2.8 5 4.7 98 92.5
   Severe / very severe 5 1.6 18 5.6 299 92.9
  Severity of inflamed bottom
   Not at all / mild 6 2.1 22 7.7 256 90.1 0.12
   Moderate 3 3.5 4 4.7 79 91.9
   Severe / very severe 2 1.4 3 2.0 142 96.6
  Severity of interrupted sleep mode
   Not at all / mild 4 1.5 16 6.2 240 92.3 0.73
   Moderate 4 3.3 5 4.1 112 92.6
   Severe / very severe 3 2.2 9 6.6 125 91.2
  Severity of tearfulness
   Not at all / mild 3 2.0 12 7.8 138 90.2 0.46
   Moderate 5 3.3 7 4.6 140 92.1
   Severe / very severe 3 1.4 10 4.7 201 93.9
  Severity of anxiety / irritability
   Not at all / mild 4 1.8 15 6.9 199 91.3 0.53
   Moderate 3 2.5 9 7.4 109 90.1
   Severe / very severe 4 2.2 6 3.4 168 94.4

None of the sociodemographic factors showed a significant association with the indicators of emotional burden of rotavirus infection. The only factor showing a significant association with compassion was education of the father, i.e., fathers with higher education corresponded to a higher proportion reporting high or very high levels of compassion (p = 0.01).

None of the indicators of emotional burden showed a statistically significant association with the objective health status variables as well as with most of the subjective indicators of the child’s health status. A significant correlation was found only between stress/anxiety and fever (more severe fever corresponded to a higher level of severe stress/anxiety (p = 0.003)), between stress/anxiety and irritability of the child, between worry and irritability of the child (more intense irritability corresponded to a higher proportion of caregivers reporting severe or very severe stress (p < 0.001) or feelings of worry (p < 0.001)), and between stress or worry and tearfulness of the child (more severe tearfulness corresponded to a higher proportion of parents reporting severe or very severe stress (p < 0.001) or worry (p = 0.006)).

Table 5 (find uploaded as separate file) shows the social burden of the acute rotavirus infection and its associations with different independent variables. No statistically significant associations were found between the necessity to introduce changes in the caregiver’s daily routine and the objective health status indicators. The social burden showed statistically significant associations with different sociodemographic factors - older age of the child (p < 0.001), older age of the mother (p < 0.001) or the father (p = 0.03) and higher education level of the mother (p < 0.001) corresponded to larger proportions of caregivers reporting a need to introduce changes in their daily routine because of the rotavirus infection (such as sporting, educational or culture events/activities).

Table 5.

Social burden (changes in daily routine) of the disease stratified by the associated factors (n = 527)

Factor Yes No p
Number % Number %
Sociodemographic factors
 Gender
  Female 211 82.4 45 17.6 0.06
  Male 202 75.7 65 24.3
 Age
   ≤ 12 months 105 67.7 50 32.3 < 0.001
  13–24 months 126 75.4 41 24.6
  25–36 months 79 89.8 9 10.2
  37+ months 102 91.1 10 8.9
 Age of the mother (years)
   ≤ 24 years 31 56.4 24 43.6 < 0.001
  25–34 years 264 79.3 69 20.7
  35–44 years 111 88.8 14 11.2
  45+ years 5 62.5 3 37.5
 Age of the father (years)
   ≤ 24 years 18 66.7 9 33.3 0.03
  25–34 years 212 75.4 69 24.6
  35–44 years 137 85.1 24 14.9
  45+ years 32 86.5 5 13.5
 Education of the mother
  Primary 18 62.1 11 37.9 < 0.001
  Secondary / vocational 133 71.1 54 28.9
  Higher 257 85.1 45 14.9
 Education of the father
  Primary 24 70.6 10 29.4 0.30
  Secondary / vocational 190 78.2 53 21.8
  Higher 181 81.5 41 18.5
 Family structure
  Both parents 386 79.1 102 20.9 0.61
  Single parent 21 75.0 7 25.0
 Place of residence
  Urban 350 78.5 96 21.5 0.57
  Rural 53 81.5 12 18.5
Objective evaluation of the health status
 Vomiting (times per 24 h)
  0 1 33.3 2 66.7 0.08
  1 70 72.2 27 27.8
  2 178 79.1 47 20.9
  3 135 81.3 31 18.7
 Diarrhea (times per 24 h)
  1 48 77.4 14 22.6 0.07
  2 87 71.3 35 28.7
  3 254 81.4 58 18.6
 Severity of episodes (Vesikari)
  Moderate 24 68.6 11 31.4 0.13
  Severe / very severe 366 79.6 94 20.4
Subjective evaluation of the health status
 Severity of diarrhea
  Not at all / mild 24 72.7 9 27.3 0.36
  Moderate 56 74.7 19 25.3
  Severe / very severe 330 80.3 81 19.7
 Severity of vomiting
  Not at all / mild 110 77.5 32 22.5 0.23
  Moderate 63 73.3 23 26.7
  Severe / very severe 237 81.4 54 18.6
 Severity of fever
  Not at all / mild 102 71.8 40 28.2 0.02
  Moderate 94 85.5 16 14.5
  Severe / very severe 215 80.8 51 19.2
 Severity of abdominal pain
  Not at all / mild 123 75.9 39 24.1 0.63
  Moderate 105 78.9 28 21.1
  Severe / very severe 168 80.0 42 20.0
 Severity of insufficient fluid intake
  Not at all / mild 50 68.5 23 31.5 0.04
  Moderate 63 76.8 19 23.2
  Severe / very severe 296 81.5 67 18.5
 Severity of loss of appetite
  Not at all / mild 64 72.2 24 27.3 0.06
  Moderate 78 74.3 27 25.7
  Severe / very severe 264 82.2 57 17.8
 Severity of apathy
  Not at all / mild 60 71.4 24 28.6 0.14
  Moderate 85 81.0 20 19.0
  Severe / very severe 260 81.0 61 19.0
 Severity of inflamed bottom
  Not at all / mild 219 77.9 62 22.1 0.60
  Moderate 82 82.8 15 17.2
  Severe / very severe 117 80.1 29 19.9
 Severity of interrupted sleep mode
  Not at all / mild 199 77.1 59 22.9 0.48
  Moderate 96 79.3 25 20.7
  Severe / very severe 112 82.4 24 17.6
 Severity of tearfulness
  Not at all / mild 116 76.3 36 23.7 0.59
  Moderate 123 80.9 29 19.1
  Severe / very severe 169 79.7 43 20.3
 Severity of anxiety / irritability
  Not at all / mild 168 77.4 49 22.6 0.64
  Moderate 98 81.0 23 19.0
  Severe / very severe 142 80.7 34 19.3

Out of all subjective health status indicators, only fever (similarly to the emotional burden) and insufficient fluid intake were significantly associated with the social burden of the disease. That is, a larger proportion of caregivers reported needing to introduce changes in their daily routine when their child had more severe fevers (p = 0.02) or insufficient fluid intake (p = 0.04).

Finally, Table 6 (find uploaded as separate file) reveals the factors that increased the economic burden of rotavirus infection. None of the objective health status indicators significantly influenced the working abilities of the parents. Only two sociodemographic factors showed a significant impact on the economic burden of the disease: a higher age of the child (p = 0.01) and higher level of education of the mother (p = 0.02) corresponded to a larger proportion of respondents reporting the need to be absent from work for at least 1 day.

Table 6.

Economic burden (days off work) of the disease stratified by the associated factors (n = 527a)

Factor None At least one Not employed p
Number % Number % Number %
Sociodemographic factors
 Gender
  Female 81 31.6 148 57.8 27 10.5 0.49
  Male 92 34.5 141 52.8 34 12.7
 Age
   ≤ 12 months 67 43.8 61 39.9 25 16.3 0.01
  13–24 months 56 33.3 96 57.1 16 9.5
  25–36 months 22 24.7 57 64.0 10 11.2
  37+ months 28 25.0 74 66.1 10 8.9
 Age of the mother
   ≤ 24 years 17 31.5 28 51.9 9 16.7 0.84
  25–34 years 110 32.9 188 56.3 36 10.8
  35–44 years 41 32.8 69 55.2 15 12.0
  45+ years 4 50.0 3 37.5 1 12.5
 Age of the father
   ≤ 24 years 11 42.3 11 42.3 4 15.4 0.48
  25–34 years 95 33.9 152 54.3 33 11.8
  35–44 years 54 33.1 92 56.4 17 10.4
  45+ years 7 18.9 25 67.6 5 13.5
 Education of the mother
  Primary 14 48.3 12 41.4 3 10.3 0.02
  Secondary / vocational 73 39.0 85 45.5 29 15.5
  Higher 85 28.1 188 62.3 29 9.6
 Education of the father
  Primary 12 35.3 16 47.1 6 17.6 0.41
  Secondary / vocational 82 33.6 140 57.4 22 9.0
  Higher 71 32.1 120 54.3 30 13.6
 Family structure
  Both parents 159 32.6 271 55.5 58 11.9 0.64
  Single parent 11 39.3 15 53.6 2 7.1
 Place of residence
  Urban 145 32.6 245 55.1 55 12.4 0.53
  Rural 23 34.8 38 57.6 5 7.6
Objective evaluation of the health status
 Vomiting (times per 24 h)
  0 3 1000. 0 0 0 0 0.28
  1 32 33.3 50 52.1 14 14.6
  2 78 34.7 123 54.7 24 10.7
  3 52 31.1 95 56.9 20 12.0
 Diarrhea (times per 24 h)
  1 23 36.5 33 52.4 7 11.1 0.95
  2 40 32.5 66 53.7 17 13.8
  3 104 33.5 170 54.8 36 11.6
 Severity of episodes (Vesikari)
  Moderate 14 40.0 17 48.6 4 11.4 0.70
  Severe / very severe 152 33.0 252 54.8 56 12.2
Subjective evaluation of the health status
 Severity of diarrhea
  Not at all / mild 13 39.4 17 51.5 3 9.1 0.43
  Moderate 31 40.8 39 51.3 6 7.9
  Severe / very severe 128 31.2 232 56.6 50 12.2
 Severity of vomiting
  Not at all / mild 55 38.7 71 50.0 16 11.3 0.26
  Moderate 27 31.0 46 52.9 14 16.1
  Severe / very severe 90 30.9 171 58.8 30 10.3
 Severity of fever
  Not at all / mild 54 38.0 70 49.3 18 12.7 0.19
  Moderate 27 24.8 69 63.3 13 11.9
  Severe / very severe 90 33.7 150 56.2 27 10.1
 Severity of abdominal pain
  Not at all / mild 61 37.4 84 51.5 18 11.0 0.12
  Moderate 51 38.3 71 53.4 11 8.3
  Severe / very severe 57 27.1 124 59.0 29 13.8
 Severity of insufficient fluid intake
  Not at all / mild 32 43.8 28 38.4 13 17.8 0.02
  Moderate 30 35.7 43 51.2 11 13.1
  Severe / very severe 110 30.4 216 59.7 36 9.9
 Severity of loss of appetite
  Not at all / mild 39 44.3 39 44.3 10 11.4 0.06
  Moderate 39 36.8 54 50.9 13 12.3
  Severe / very severe 93 29.0 192 59.8 36 11.2
 Severity of apathy
  Not at all / mild 33 39.8 39 47.0 11 13.3 0.20
  Moderate 34 32.4 55 52.4 16 15.2
  Severe / very severe 99 30.7 192 59.4 32 9.9
 Severity of inflamed bottom
  Not at all / mild 81 28.7 174 61.7 27 9.6 0.03
  Moderate 37 42.5 38 43.7 12 13.8
  Severe / very severe 53 36.3 74 50.7 19 13.0
 Severity of interrupted sleep mode
  Not at all / mild 89 34.4 148 57.1 22 8.5 0.33
  Moderate 37 30.6 66 54.5 18 14.9
  Severe / very severe 45 33.1 72 52.9 19 14.0
 Severity of tearfulness
  Not at all / mild 53 34.9 80 52.6 19 12.5 0.92
  Moderate 47 30.7 88 57.5 18 11.8
  Severe / very severe 71 33.5 118 55.7 23 10.8
 Severity of anxiety / irritability
  Not at all / mild 69 31.7 121 55.5 28 12.8 0.27
  Moderate 34 28.1 76 62.8 11 9.1
  Severe / very severe 67 38.1 90 51.1 19 10.8

aThe sum of the stratified numbers can differ according to the parameters due to missing values

Out of all subjective health status indicators, only insufficient fluid intake (like the social burden) and inflamed bottom seems to increase the economic burden of the infection. A larger proportion of caregivers reported the need to be absent from work for cases of more severe insufficient fluid intake (p = 0.02) or inflamed bottom (p = 0.03) of their child.

Therefore, it can be concluded that the objective health status of the child does not influence the emotional, social or economic burden of the rotavirus infection, whereas the parents’ subjective perceptions of the child’s health status and some sociodemographic characteristics, such as the age of the child and the age or education of parents do influence the burden.

Discussion

This study reveals the impact of rotavirus gastroenteritis on HRQL of families whose children are affected. As the disease is characterized by a sudden onset, it can disrupt daily routine, require unexpected changes, and thus, can affect the physical, emotional and social wellbeing of the child and family. The results show that an acute illness negatively effects the family and increases their emotional, social and economic disease burden. Parents reported moderate or severe parental distress, worry and anxiety, as well as intense feelings of an exhaustion, helplessness and despair. This is consistent with the results of other studies that also reported parental emotions and feelings due to a child’s illness. Parents reported high distress levels during the episode of rotavirus gastroenteritis [5, 17, 18] and felt exhausted and helpless [18]. Our study concludes that parents of hospitalized children are faced with disruptions of their daily routine and social activities. This fact has also been established in similar studies [17]. The economic burden of disease is related to lost days of work and additional expenditures. In our study and other studies, parents experienced lost work days [5, 20] and additional expenditures. [17, 21].

Current research has shown that stress, anxiety, worry and compassion are the most often (and more intense) feelings experienced by parents due a child’s illness. Based on a subjective assessment of disease symptoms, parents reported that severe fever of the child, irritability and tearfulness promoted higher parental stress levels. Emotional reactions, to a certain extent, are socially formatted and structured [22]. Parental responses to a child’s symptoms and their subsequent emotional feelings can be incorporated and interpreted in a cultural framework. In Latvia, fever in children is possibly overestimated as an abnormal and potentially life-threatening condition. This, in turn, can lead to excessive parental stress reactions. Cultural and personal beliefs held by parents also influence perceptions of how a “healthy child” should look and behave [23]. Tearfulness and irritability are usually not associated with the image of a healthy child in Latvia, and these symptoms can provoke more intense levels of parental distress, worry and anxiety. Cultural factors regarding the impact of rotavirus gastroenteritis on families were analyzed in an ethnographic study in Taiwan and Vietnam [21]; another study also compared the emotional reactions of Spanish, Italian and Polish parents due to childhood acute rotavirus gastroenteritis. To help parents manage their child’s health needs during an acute illness and their own perceptions and reactions toward their child’s symptoms, sufficient parental health education is required [24]. A successful and mutual physician-parent communication, as the foundation of the therapeutic relationship, is an essential tool for better social support [25]; otherwise, lack of communication with a child’s parents can lead to misunderstandings and cause additional stress. The social burden of disease is an essential domain of HRQL. This study revealed that older mothers and fathers more often reported the need to unexpectedly change their daily routine because of their child’s acute illness, which was also true for mothers with higher education levels. This finding could be explained by the group of parents aged 35 or more as having more social duties and activities. Parents reported that severe fever and insufficient fluid intake were the most prevalent symptoms of their child that caused disruption of their daily schedule. This could be linked to cultural issues, parental education and health communication. In Latvia, information on child dehydration is broadly released, and the notion that children should drink fluids is strongly embodied in public discourses and practices.

Our study revealed that the main aspect of economic burden is the loss of work days. The larger proportion of parents (caregivers) experienced absence from work for at least 1 day due to a childhood rotavirus gastroenteritis when the child was of higher age. This finding could be explained by paid parental leave in Latvia, that covers first year of life. As children grow older, both parents usually are employed and sick-leave usually is required. Mothers with the higher educational levels more often reported the need to be absent from work at least 1 day. A possible explanation could be related to job specificity (duties, responsibility, etc.) and/or better social insurance and social security system. Parents reported that an inflamed bottom and insufficient fluid intake were the most prevalent symptoms of their child that led to lost work days, which could be linked to cultural and informational issues regarding symptom perception and management.

This study confirmed that acute childhood rotavirus gastroenteritis places a considerable burden on families. It affects all domains of HRQL. This study provides in-depth insight into parental subjective evaluation of their child’s symptoms and their reactions to these symptoms. These results are important for promoting better communication between physicians and parents.

Additional research may be necessary to identify more profound factors and to measure the associations among factors in considering the current development of conceptual frameworks for HRQL assessment in acute gastroenteritis [26].

This study has several limitations. First, the results are not fully generalizable, as only hospitalized children and their families were included. Thus, the results may not be relevant upon extrapolation to milder cases of rotavirus infection.

Conclusions

In this study, we found that the objective health status of the child did not influence the emotional, social or economic burden of rotavirus infection, but rather parents’ subjective perceptions of their child’s health status and sociodemographic characteristics such as the age of the child or the age or education of parents did affect their burden.

A better understanding of how acute episode affect the child and the child’s family could help to ease parental fears and advice parents on the characteristics of rotavirus infection and the optimal care of an affected child.

Acknowledgements

Authors would like to thank Riga Stradins University for granting the project “Clinical peculiarities of Rota viral infection, molecular epidemiology and health-associated life quality for hospitalized children and their family members”. This manuscript was drafted as part of a project.

Funding

Project was granted by Riga Stradins University (Grant No. RSU ZP 06/2013/2–3/155). Manuscript was drafted as part of a project.

Availability of data and materials

The datasets generated and analyzed during the current study are available in the Zenodo repository.

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Abbreviations

CI

Confidence interval

HRQL

Health-related quality of life

n

Absolute number

OR

Odds ratio

PCR

Polymerase chain reaction

Authors’ contributions

GL developed the clinical and social demographic parts of the questionnaire and was responsible for patient involvement, data collection, and preparation and submission of the manuscript. MC participated in patient involvement and data entry. AK participated in the development of the questionnaire, developed the platform for data entry, drafted the manuscript and performed the statistical analysis. IS participated in the development of the questionnaire and preparation of the manuscript. IG participated in the development of the clinical and social demographic parts of the questionnaire and preparation of the manuscript. DG was the project manager and supervisor. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The study was conducted in accordance with the Helsinki declaration and good clinical practice guidelines. The protocol and study consent were reviewed and approved by the ethical committee of Riga Stradins University and by the Institutional Review Board of Children’s Clinical University Hospital (No. 22/30.05.2013.)

All involved legal care givers signed consent of participation and written informed consent was obtained from the parents for analyzation and publication of collected data.

Consent for publication

All involved legal care givers signed consent of participation and written informed consent was obtained from the parents for analyzation and publication of collected data.

Competing interests

Financial competing interests: Project was granted by Riga Stradins University (Grant No. RSU ZP 06/2013/2–3/155). Manuscript was drafted as part of a project.

Non-financial competing interests: This manuscript is part of the doctoral Thesis of the corresponding author Gunta Laizane.

Publisher’s Note

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

Contributor Information

Gunta Laizane, Email: lgunta@inbox.lv.

Anda Kivite, Email: anda.kivite@rsu.lv.

Inese Stars, Email: inese.stars@rsu.lv.

Marita Cikovska, Email: marita.cikovska@gmail.com.

Ilze Grope, Email: ilze.grope@rsu.lv.

Dace Gardovska, Email: dace.gardovska@rsu.lv.

References

  • 1.Parashar UD, Nelson EA, Kang G. Diagnosis, management, and prevention of rotavirus gastroenteritis in children. BMJ. 2013;347:f7204. doi: 10.1136/bmj.f7204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Gimenez-Sanchez F, Delgado-Rubio A, Martinon-Torres F, Bernaola-Iturbe E. Rotascore research group. Multicenter prospective study analysing the role of rotavirus on acute gastroenteritis in Spain. Acta Paediatr. 2010;99:738–742. doi: 10.1111/j.1651-2227.2010.01684.x. [DOI] [PubMed] [Google Scholar]
  • 3.Soriano-Gabarró M, Mrukowicz J, Vesikari T, Verstraeten T. Burden of rotavirus disease in European Union countries. Pediatr Infect Dis J. 2006;25:S7–S11. doi: 10.1097/01.inf.0000197622.98559.01. [DOI] [PubMed] [Google Scholar]
  • 4.The center for disease Prevention and controle of Latvia. https://www.spkc.gov.lv/en.
  • 5.Van der Wielen M, Giaquinto C, Gothefors L, Huelsse C, Huet F, Littmann M, et al. Impact of community-acquired paediatric rotavirus gastroenteritis on family life: data from the REVEAL study. BMC Fam Pract. 2010;11:22. doi: 10.1186/1471-2296-11-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Spieth LE, Harris CV. Assessment of health-related quality of life in children and adolescents: an integrative review. J Pediatr Psychol. 1996;21:175–193. doi: 10.1093/jpepsy/21.2.175. [DOI] [PubMed] [Google Scholar]
  • 7.Goldbeck L, Melches J. Quality of life in families of children with congenital heart disease. Qual Life Res. 2005;14:1915–1924. doi: 10.1007/s11136-005-4327-0. [DOI] [PubMed] [Google Scholar]
  • 8.Grootenhuis MA, Koopman HM, Verrips EG, Vogels AG, Last BF. Health-related quality of life problems of children aged 8-11 years with a chronic disease. Dev Neurorehabil. 2007;10:27–33. doi: 10.1080/13682820600691017. [DOI] [PubMed] [Google Scholar]
  • 9.Matza LS, Swensen AR, Flood EM, Secnik K, Leidy NK. Assessment of health-related quality of life in children: a review of conceptual, methodological, and regulatory issues. Value Health. 2004;7:79–92. doi: 10.1111/j.1524-4733.2004.71273.x. [DOI] [PubMed] [Google Scholar]
  • 10.Bullinger M, Von Mackensen S, Haemo-QoL Group Quality of life in children and families with bleeding disorders. J Pediatr Hematol Oncol. 2003;25(Suppl 1):S64–S67. doi: 10.1097/00043426-200312001-00015. [DOI] [PubMed] [Google Scholar]
  • 11.Ben-Gashir MA, Seed PT, Hay RJ. Are quality of family life and disease severity related in childhood atopic dermatitis? J Eur Acad Dermatol Venereol. 2002;16:455–462. doi: 10.1046/j.1468-3083.2002.00495.x. [DOI] [PubMed] [Google Scholar]
  • 12.Harpin VA. The effect of ADHD on the life of an individual, their family, and community from preschool to adult life. Arch Dis Child. 2005;90(Suppl 1):i2–i7. doi: 10.1136/adc.2004.059006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Tong A, Lowe A, Sainsbury P, Craig JC. Experiences of parents who have children with chronic kidney disease: a systematic review of qualitative studies. Pediatrics. 2008;121:349–360. doi: 10.1542/peds.2006-3470. [DOI] [PubMed] [Google Scholar]
  • 14.Mawani N, Amine B, Rostom S, El Badri D, Ezzahri M, Moussa F, et al. Moroccan parents caring for children with juvenile idiopathic arthritis: positive and negative aspects of their experiences. Pediatr Rheumatol Online J. 2013;11:39. doi: 10.1186/1546-0096-11-39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Javier Diez D, Patrzalek M, Cantarutti L, Arnould B, Meunier J, Soriano-Gabarro M, et al. The impact of childhood acute rotavirus gastroenteritis on the parents quality of life: prospective observational study in European primary care medical practices. BMC Pediatr. 2012;12:58. doi: 10.1186/1471-2431-12-58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Huppertz HI, Forster J, Heininger U, Roos R, Neumann HU, Hammerschmidt T. The parental appraisal of the morbidity of diarrhea in infants and toddlers (PAMODI) survey. Clin Pediatr. 2008;47:363–371. doi: 10.1177/0009922807310933. [DOI] [PubMed] [Google Scholar]
  • 17.Mast TC, DeMuro-Mercon C, Kelly CM, Floyd LE, Walter EB. The impact of rotavirus gastroenteritis on the family. BMC Pediatr. 2009;9:11. doi: 10.1186/1471-2431-9-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Vesikari Clinical Severity Scoring System Manual Version 1.3, for external circulation. PATH A catalyst for global health, Kristen Lewis. 2011.
  • 19.Cabinet of Ministers of Latvia. https://www.mk.gov.lv/. Accesed 15 Jan 2018.
  • 20.Sénécal M, Brisson M, Lebel MH, Yaremko J, Wong R, Gallant LA, et al. Measuring the impact of rotavirus acute gastroenteritis episodes (MIRAGE): a prospective community-based study. Can J Infect Dis Med Microbiol. 2008;19:397–404. doi: 10.1155/2008/451540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.O'Brien MA, Rojas-Farreras S, Lee HC, Lin LH, Lin CC, Hoang PL, et al. Family impact of rotavirus gastroenteritis in Taiwan and Vietnam: an ethnographic study. BMC Infect Dis. 2015;15:240. doi: 10.1186/s12879-015-0968-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Von Scheve C. Emotion and social structures: the affective foundations of social order. Routledge. 2013. [Google Scholar]
  • 23.Barr DA. Health disparities in the United States: social class, race, ethnicity, & health. Baltimore: Johns Hopkins University Press; 2008. [Google Scholar]
  • 24.Betz CL, Ruccione K, Meeske K, Smith K, Chang N. Health literacy: a pediatric nursing concern. Pediatr Nurs. 2008;34:231–239. [PubMed] [Google Scholar]
  • 25.Levetown M, American Academy of Pediatrics Committee on Bioethics Communicating with children and families: from everyday interactions to skill in conveying distressing information. Pediatrics. 2008;121:e1441–e1460. doi: 10.1542/peds.2008-0565. [DOI] [PubMed] [Google Scholar]
  • 26.Johnston BC, Donen R, Pooni A, Pond J, Xie F, Giglia L, et al. Conceptual framework for health-related quality of life assessment in acute gastroenteritis. J Pediatr Gastroenterol Nutr. 2013;56:280–289. doi: 10.1097/MPG.0b013e3182736f49. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets generated and analyzed during the current study are available in the Zenodo repository.

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