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Abstract
Objective To describe mental health outcomes and measures of pandemic burden of children with and without special healthcare needs, and their caregivers following the second wave of the COVID-19 pandemic in Germany.
Design This is the second of a sequential series of cross-sectional online surveys conducted among caregivers of children ≤18 years since the onset of the COVID-19 pandemic, administrated between 2 April 2021 and 31 July 2021.
Main outcome measures Child and parental mental health were assessed using the Strengths and Difficulties Questionnaire and WHO-5 Well-being index. Children with Special Healthcare Needs (CSHCN) were identified using the CSHCN-Screener. Descriptive statistics, linear and hierarchical logistic regression modelling assessed associations between parent-reported child mental health problems and measures of pandemic burden, disease complexity, caregiver mental well-being and socioeconomic status.
Results 521 participants were included in the final sample. There was a high prevalence of parent-reported mental health problems in n=302 (66.7%) children, particularly in CSHCN. Among caregivers, n=372 (72.5%) screened positive for depression. Logistic regression modelling showed a strong association of child mental health problems and disease complexity, parental mental well-being, increase in family conflict and inadequate social support.
Conclusions Our study identifies CSHCN as a particularly vulnerable group in terms of mental health outcomes. Psychosocial factors were important predictors of parent-reported child mental health problems. Policy measures should consider the importance of social support systems for vulnerable children and their families, and aim to provide accessible mental health support for caregivers.
- COVID-19
- adolescent health
Data availability statement
Data are available on reasonable request. All data supporting our findings will be made available by the corresponding author on reasonable request.
This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
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WHAT IS ALREADY KNOWN ON THIS TOPIC
Increasing evidence points towards a rising mental health burden in children and adolescents during the COVID-19 pandemic.
Few studies conducted during the pandemic so far have focused on mental health outcomes of children with special healthcare needs and their caregivers.
WHAT THIS STUDY ADDS
This study found a high prevalence of mental health problems in both children and their caregivers, particularly in families with children with special healthcare needs.
Parent-reported child mental health problems were strongly associated with pandemic-related variables, that is, increase in family conflict and inadequate social support, and with caregivers’ mental health.
It highlights the importance of social support systems for vulnerable children and their families, and provision of accessible resources for caregiver’s mental health support.
HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY
Longitudinal studies are needed to examine the long-term mental health impact of the COVID-19 pandemic on children with special healthcare needs.
Policy responses to the current and any future pandemic should consider the importance of social support systems for vulnerable children and their families, and include their voices and experiences in health-related decision-making.
Introduction
The COVID-19 pandemic has substantially disrupted the everyday lives of children and their families worldwide. Recurring lockdowns, contact restrictions and school closures have affected children and adolescents repeatedly over the past 2 years. Home schooling, social isolation and difficulties in accessing routine health services for children have placed considerable strain on families.1–6
Concern about the mental health impact of the pandemic on children and adolescents has been raised repeatedly.7 Increasing evidence suggests a rising mental health burden in children and adolescents: a recent meta-analysis reports a pooled prevalence of 25.2% for depression and 20.5% for elevated anxiety, which are double prepandemic estimates.8 This evidence from largely cross-sectional studies is echoed by longitudinal studies.9 10 In Germany, child mental health problems increased from 17.6% pre-pandemic to 29.1% by September–October 2021.10 11
Associations between young people’s mental health, caregiver burden and mental well-being, social support and socioeconomic status (SES) have been described previously.10 12 13 Child behavioural problems during the pandemic predicted parental strain, and parents reporting high parental strain were more likely to report child behavioural problems.14 Caregiver burden was a predictor for parental depression and anxiety.15
Fluctuating public health measures and need for frequent adaptation of family routines were a challenge for families with children with special healthcare needs (CSHCN) in particular. These children have chronic conditions which require more support than average.16 There is concern about the mental health impact of the pandemic on CSHCN and about an increasing burden on their caregivers.17–19 However, few studies to date have focused on the mental health of CSHCN and their caregivers. As countries worldwide are faced with the long-term challenge of COVID-19 recovery, research should support an equitable approach by providing evidence on the impact of the pandemic on vulnerable populations.20 Hence, our study aims
To describe mental health outcomes and measures of pandemic burden of children with and without special healthcare needs and their caregivers following the second wave of the COVID-19 pandemic in Germany.
To explore associations between parent-reported child mental health problems and measures of pandemic burden, disease complexity, caregiver mental well-being and SES.
Methods
Study design
This study is the second of a sequential series of cross-sectional online surveys at various time points since the onset of the pandemic. The first survey was conducted from August to October 2020.21 This second survey was initiated shortly after the second national lockdown in Germany (16 December 2020–7 March 2021) and administered via REDcap between 2 April 2021 and 31 July 2021.
Caregivers of children ≤18 years were eligible to participate. Recruitment involved convenience and non-probabilistic snowball sampling, study promotion via partner organisations, social and public media, and through free access websites. The study is registered with the German Registry for Clinical Studies (DRKS00022868).
Patient and public involvement
Representatives of the Kindernetzwerk e.V., a large patient organisation for families of children with chronic diseases and disabilities, were consulted about relevant topics when designing the questionnaire and approved the final version. The Kindernetzwerk e.V. promoted the study; results were shared in online meetings, and disseminated to its members through free access websites and newsletters.
Measures
Child mental health was measured using the parent-report version of the Strengths and Difficulties Questionnaire (SDQ).22 It applies to children aged 4–16 years, with a preschool version differing in three items.23 Both the German standard parent-report version of the SDQ and the preschool version are valid and reliable instruments.23 24 We used age-appropriate versions of the SDQ for caregivers of children older than 2 years and a cut-off of 13 on the Total Difficulties score10 ,25 (online supplemental material).
Supplemental material
Caregiver mental health: The WHO-5 is a five-question screening tool for mental health with good validity and reliability.26 Scores range from 0 to 100, where 100 represents the best imaginable mental well-being. The cut-off point for depression screening is 50.26
CSHCN: The CSHCN Screener is a five-item parent-reported screening instrument to identify children with chronic physical, mental, behavioural and other conditions, who require more support through services than average for their peers.16 Higher scores indicate higher disease complexity. We stratified children into three groups27: no special healthcare needs (CSHCN score=0), chronic conditions (0<CSHCN score ≤2) and complex chronic conditions (CSHCN score ≥3).
SES: An SES index was constructed as the sum of three indicators: household net equivalent income, caregiver education and occupation28 (online supplemental material).
COVID-19-related burden: Items assessed financial difficulties, inadequate social support, family conflict and general burden by pandemic restrictions.
Sociodemographic characteristics included age and gender, relationship status, education, occupation, monthly household income, household size, area of residence and country of birth. Caregiver education was categorised according to the international CASMIN classification.29
Statistical methods
Participants with no more than two missing values in any of the following key variables were included in the analysis: SDQ total score, WHO-5 total score, CSHCN screener score and SES variables (monthly household income, occupation and education). Missing values for household net income (15%) were replaced by multiple imputation. Analyses involving the SDQ were restricted to children older than 2 years of age. Associations between SDQ-subscales and WHO-5 were examined using Pearson’s correlations. Simple linear regression modelling was performed for WHO-5 total score on SES-Index and for SDQ total score on SES-Index. Associations between COVID-19 related burden and SES were analysed using simple logistic regression modelling.
Theory-driven hierarchical logistic regression modelling was performed on complete datasets (n=427; 82% of total sample size) to estimate adjusted ORs for the association of parent-reported child mental health problems with disease complexity, caregiver mental health, SES and pandemic burden. Variables were added in three blocks (see online supplemental material). Analyses were adjusted for age and gender. We compared model 1 including all children with two models stratifying for disease complexity (models 2 and 3). Effect modification was explored by including interaction terms for family conflict and caregiver well-being, as well as for social support and caregiver well-being in model 1. Multicollinearity between exposure variables was assessed by calculating the variance inflation factor. Analysis was performed using IBM SPSS V.27.0.
Results
Of 761 participants accessing the survey, 521 were included in the final sample (figure 1). Participants’ sociodemographic characteristics are displayed in table 1. Exclusion from further analysis (n=120) affected families with and without CSHCN equally (see online supplemental material for further details).
Flow diagram of final study sample. *Key variables: SDQ total score, WHO-5 total score, CSHCN screener score and SES variables (monthly household income, occupation and education). CSHCN, Children with Special Healthcare Needs screener; SDQ, Strengths and Difficulties Questionnaire; SES, socioeconomic status.
Sociodemographic characteristics (N=521); percentages reported as row percentages
Among all children, 56.2% (n=293; 0.6% missing) had special healthcare needs. Of these, 79.2% (n=232) had a physical impairment, 76.8% (n=225) a behavioural or sensory impairment and 52.2% (n=153) had impaired speech or understanding.
The mean SDQ score was 16.4 (SD 8.6; 8.3% missing), with 66.7% (n=302) of children having a score ≥13, indicating slightly raised to high scores. Caregivers’ mean WHO-5 score was 35.7 (SD 22.6; 1.5% missing) and 72.5% (n=372) had a score ≤50, that is, below the cut-off point for depression screening. There was strong evidence for a negative correlation between all SDQ-subscales and WHO-5 score (online supplemental table S2).
There was very strong evidence for an association between disease complexity and SDQ score: 77.6% (n=156) of children with complex chronic disease had raised to high SDQ scores compared with 55.7% (n=112) of children without special healthcare needs (χ2(df=2)=21.7, p<0.001; 13.6% missing; online supplemental table S3). CSHCN scored higher on all SDQ subscales than children without; group differences were significant for the hyperactivity/inattention and peer problems subscales (table 2).
SDQ subscales (N=450)
Most caregivers felt burdened by pandemic restrictions (n=489 (94.2%); 0.4% missing) and about half reported increased family conflict and inadequate social support (n=248 (47.8%) and n=270 (52.0%), respectively; 0.4% missing). Financial difficulties were reported by 17.5% of families (n=91; 0.4% missing).
Stratified analysis revealed differences according to SES. Among children with complex chronic conditions, 26% (n=61) lived in families with low SES, compared with 14.4% (n=31) of children without (χ2(df=4)=11.7; p=0.02; online supplemental table S4). There was some evidence for associations between SES and both caregiver and child mental health. WHO-5 scores increased with increasing SES, while SDQ scores increased with decreasing SES (table 3). For additional results, see online supplemental table S5.
Analysis of associations between psychometric outcomes and SES
Determinants of child mental health
Table 4 shows the results of hierarchical logistic regression modelling. Overall, model 1 explained 32.9% of variance after block 3, and correctly predicted an SDQ-score ≥13 in 88.1% of cases. The biggest increase in explained variance resulted from adding caregiver mental well-being in block 2. Model 1 provided very strong evidence that elevated SDQ scores were associated with disease complexity, age of child, caregiver mental well-being, increase in family conflict and inadequate social support. Children with complex chronic conditions had three times the odds of having an elevated SDQ score compared with children without special healthcare needs. Children whose caregivers scored ≤50 on the WHO-5 were 2.9 times more likely to have an elevated SDQ score than children in the baseline group. Children whose caregivers reported an increase in family conflict during the pandemic or experienced inadequate social support had 3.6 times and 2.4 times the odds of having an elevated SDQ score compared with children in the baseline group. After controlling for confounding effects of disease complexity, age, gender, caregiver mental health and psychosocial variables, there was no evidence of an association between SES and elevated SDQ scores.
Impact of SES and psychosocial burden on child mental health problems
Other analyses
Stratified regression modelling according to disease complexity revealed no substantial differences for children without special healthcare needs. For children with complex chronic disease, only a strong association between inadequate social support and elevated SDQ scores prevailed (table 4). The inclusion of interaction terms showed no evidence of a varying effect of family conflict or social support on elevated SDQ scores according to the WHO-5 score. There was no evidence for multicollinearity between independent variables included in the regression modelling.
Discussion
This study demonstrates that prevalence of mental health problems in both children and their caregivers is high, particularly in families with CSHCN. Parent-reported child mental health problems were strongly associated with pandemic-related variables, that is, increase in family conflict and inadequate social support, as well as with caregiver mental health. After adjusting for confounding, no association of SES and child mental health remained.
The prevalence of parent-reported mental health problems, as measured by elevated SDQ score, in our sample was 66.7%. This is much higher than estimates of 30.4% and 29.1% reported in a representative German study.10 The higher prevalence in our study is likely due to the high proportion of children with chronic disease or disability. Other studies assessing child mental health during the COVID-19 pandemic in non-representative samples have described elevated mental health symptoms for children with special educational needs and neurodevelopmental disorders.9 17 30 The first survey of our study found a prevalence of parent-reported mental health problems of 57.4%, with a higher prevalence among CSHCN.21 Though this study is not based on the same sample, we still observe very high SDQ scores for CSHCN.
Our findings suggest both lower caregiver well-being and high prevalence of depression based on the WHO-5 compared with general population estimates (26, supplement; 31). Our sample likely constitutes a particularly high-burdened sample of caregivers. Compared with our first survey, we here observed even lower caregiver well-being and mental health.21 Other studies have reported high psychological distress in families during the COVID-19 pandemic and associations of parental stress, younger age of both parents and children with poorer parental mental health.5 10 32–34 The reciprocal relationship between caregiver and child mental well-being warrants further exploration. We observed strong correlations of caregiver mental health with child mental health. This could reflect the fact that the child mental health measure was a parent-reported outcome measure,14 35 that is, highly burdened caregivers might be more likely to report child internalising or externalising problems.
Caregivers of CSHCN are particularly at risk of experiencing psychological distress.19 36 A study found moderate to severe depression in 45% of carers of children with intellectual disabilities during the first UK lockdown.37 Family functioning and social support are important factors related to caregiver mental well-being.10 30 33 In households of young CSHCN, several dimensions of social support correlated with lower emotional distress in caregivers and fewer behavioural problems in children during the pandemic.18 Our study identifies family conflict and social support as predictors of child mental health. Pandemic control measures included different degrees of social distancing, hence our findings may reflect the impact of disintegrating social support systems on families with CSHCN.
Associations between SES and child mental health have been described both before and during this pandemic.9 10 12 30 38 Contrary to results of the unadjusted analysis and to our first survey,21 we did not find associations between SES and parent-reported child mental health problems after adjusting for confounding. This might be due to responding bias, as our study sample mainly included participants with a high educational and occupational level. However, we found strong evidence for an association between low SES and disease complexity. Higher odds of all-cause disabling conditions have been described for children from low SES, though the causal mechanisms remain uncertain.39 CSHCN from low SES are likely to be a particularly vulnerable group, both with regard to their underlying condition and their mental health.
Limitations
The results and in particular the generalisability of this study are limited by the non-representative nature of our sample. Due to the recruitment process, the respondents are likely to have been a highly self-selected sample with a high educational level. Participants from lower educational and occupational levels, and those from a minority or ethnic background are under-represented. Hence, this study might underestimate the prevalence of parent-reported child mental health problems in this group. Regarding non-respondence, it can be assumed that there was no systematic bias due to disease severity based on the data available, as both families with and without children with SHCN were equally affected. Finally, the cross-sectional design of this study does not allow inference of causality. Hence, caregiver mental health problems may cause child mental health problems, but child mental health problems and disease complexity may also affect caregiver mental health.
Conclusion
The results presented here suggest a high mental health burden in both children and caregivers in a large sample of German families with children with and without special healthcare needs. In the context of the COVID-19 pandemic, our study identifies children with complex chronic disease as a particularly vulnerable group in terms of mental health outcomes. Psychosocial factors related to social support, family functioning and caregiver mental well-being were important predictors of parent-reported child mental health problems. Consequently, there is a need for longitudinal studies examining the long-term mental health impact of the pandemic on CSHCN. Appropriate policy responses should focus on and reach out to vulnerable groups by including their voices and experiences in health-related decision making.20 Future pandemic preparedness should adopt a child-rights-based approach, consider the importance of social support systems for vulnerable children and their families, and establish accessible resources for caregivers’ mental health support.
Data availability statement
Data are available on reasonable request. All data supporting our findings will be made available by the corresponding author on reasonable request.
Ethics statements
Patient consent for publication
Ethics approval
This study involves human participants and was approved by Ethics Committee of Freiburg University (Approval number 377/20). Participants gave informed consent to participate in the study before taking part.
Acknowledgments
The authors would like to thank Annette Mund, Henriette Högl and Kathrin Jackel-Neusser from the steering committee of the Kindernetzwerk e.V. for their support in the recruitment process and their valuable contributions to the survey development.
References
Supplementary materials
Supplementary Data
This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.
Footnotes
Contributors MB, TL, AG and AH conceptualised the study. AG, MB and TL developed the methodology. TL, AM and HH recruited participants. AG and AH conducted data analysis. AG and SI were responsible for data curation. AG wrote the original draft. AG, MB, AH and TL edited and reviewed the manuscript. TL and MB provided project supervision. TL was in charge of project administration, funding acquisition and acted as guarantator. All authors approved the final manuscript.
Funding This research was funded by the Volkswagen Foundation, grant number Az 990622.
Competing interests The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Patient and public involvement Patients and/or the public were involved in the design, or conduct, or reporting, or dissemination plans of this research. Refer to the Methods section for further details.
Provenance and peer review Not commissioned; externally peer reviewed.
Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.