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Psychosocial assessment and quality of life assessment in children with congenital heart in a developing country

Abstract

Background

Few studies have examined the clinical utility of a brief psychosocial screening questionnaire and assessing the health-related quality of life as part of routine care in a pediatric cardiology clinic.

Subject and methods

A cross-sectional study was conducted over 6 months duration involving 224 patients with congenital heart diseases (CHD) aged 4–18 years and their parents to fulfill Pediatric Symptom Checklist (PSC) and Health related – Quality Of Life (HR-QOL) score. Statistical analysis of reliability of these scores among the studied population was carried using Cronbach’s alpha value.

Results

The studied population with CHD, aged 4–18 years with a mean ± standard deviation of 99.48 ± 43.37 months. They were 54.5% males (n = 122) and 45.5% females (n = 102). Internalizing problems were identified by PSC in 12.95% of patients (n = 29), Cyanosis was found to be the only significant independent risk factor for developing internalizing defects (p < 0.001). Quality of school functioning was the most affected domain in HR-QOL. While, the quality of social functioning remained good in the majority of cases. Cronbach’s alpha value coefficient of PSC and HR-QOL scores were 0.846 and 0.900 respectively, reflecting good to excellent reliability of these scores within the studied population.

Conclusions

Children with CHD have increased need for psychosocial assessment for improvement of their quality of life.

Background

Nowadays, 90% of newborns diagnosed with congenital heart diseases (CHD) live to adulthood [1]. As survival rates improved, psychosocial issues have emerged as a critical research area [2]. The question of how best to identify children and families who could benefit from psychology support is crucial, given the limited psychology resources [3]. Systematic psychosocial screening processes have been implemented in primary-care settings [4]. Jellinek et al [5] have created the Pediatric Symptom Checklist (PSC) questionnaire to identify children with difficulties in psychosocial functioning, PSC is not a diagnostic tool, but indicates that children with positive results would benefit from further evaluation [6]. Moreover, the evaluation of Quality Of Life (QOL) provides a comprehensive description of the health of the individual in relation to physical, functional and psychosocial dysfunctions and is an important component in assessing the long-term impact of chronic conditions [7]. Health Related-quality of life (HR-QOL) tool is an assessment of how individual well-being may be affected over time by a disease or disability [8]. To date, studies on QOL in CHD patients reported contradictory findings: some studies reported poorer QOL related to cardiac instability and disease severity [9], while others concluded that CHD patients had better QOL than healthy people [10].

In developing countries, there is lack of interest in the psychosocial impact of chronic disease and its effect on QOL.

Aims of the study

This study aimed to assess the psychosocial aspect and quality of life of children with stable congenital heart disease and to check the validity of the screening tools used among the studied population.

Methods

A cross-sectional study was designed to screen pediatric patients with CHD coming for follow-up in the cardiology clinic of a tertiary care level hospital affiliated to a university in a developing country. Included patients aged 4–18 years should have their diagnosis confirmed by a 10 year expert echo-cardiographer. Patients having associated other congenital malformations, genetic syndromes, or neurologic or mental handicaps were excluded. After explaining the benefit of the study to parents or care-givers of the patients, an informed written consent was obtained for the purpose of publication. After initial data entry, included cases were asked to fulfill the PSC [11], which consists of 35 questions some of them were addressed to the patient, others were addressed to the parents or caregivers because parents are often the first to notice a problem with the child’s behavior or emotions even before the child himself. For each item a score of 0, 1, or 2 is provided, then a total score for all 35 items is calculated. The PSC score includes 3 domains of psychological assessment: attention, internalizing, and externalizing subscales. Each subscale consists of a set of questions that represent a tool of diagnosing the patient readiness to suffer from a psychiatric disturbance. An attention positive subscale points to possible attention deficit hyperactivity disorders, internalizing subscale positive refers to possible depression disorders, and finally externalizing subscale positive refers to possible conduct disorders. Then, the HR-QOL score [12] consisting of 23 questions divided into 4 main sections: problems with physical functioning (8 questions), problems with emotional, social, and school functioning (5 questions each). For each item, a score of 0–4 is recoded. In the present study, patients aged 4 - < 8 years, their HR- QOL score was answered by the parents or caregivers only, patients aged 8–12 years were involved in the assessment along with their parents and they discussed together before choosing the appropriate scores. Finally, patients aged 13–18 years answered the HR-QOL score alone with no interference from their parents. For each section, results were stratified into poor, fair, good, and excellent according to the interpretation of the QOL score: < 25%, 25–50%, 50–75%, and ˃ 75%, respectively.

A sample size of 220 patients was calculated to evaluate PSC, HR-QOL scores with a statistical power of 80% and statistical significance less than 5% [13].

Statistical consideration

Statistical analysis used SPSS (Statistical Package for Social Science) program (version 21), where data was described using minimum, maximum, mean, standard deviation and 95% Confidence Interval (CI) of the mean, median and Inter-Quartile Range (IQR). Kolmogorov-Smirnov test of normality was carried for each variable. Comparisons were carried out between the studied groups using independent sample t test. Monte-carlo and Yate’s (continuity) correction were carried out when indicated. Comparisons were carried out between two studied independent not-normally distributed subgroups using Mann-Whitney U test. The binary logistic model is used to estimate the probability of a binary response based on one or more predictor (or independent) variables. The calibration was assessed by directly comparing the observed and customized predicted positive internalizing defect across subcategories of risk. We employed the Hosmer–Lemeshow goodness-of-fit test, where a p value > 0.10 indicates acceptable calibration. Cronbach’s (alpha) was used to estimate the reliability of the scores used in the study.

Ethical statement

All procedures performed in the current study were in accordance with the 1964 Helsinki Declaration and its amendments. The University ethical committee approved the study design on March 2018 (IRB:00007555-FWA:00018699, serial:0105443).

Results

The current study screened 339 patients visiting the outpatient clinic, Fig. 1 shows the Reporting of Studies Conducted using Observational Routinely-Collected health Data (RECORD) recruitment strategy. Table 1 shows the demographic and clinical data of the studied population (n = 224) with a median age of 86 months and interquartile range of (66–116 months). There were 54.46% (n = 122) male patients versus 45.54% (n = 102) female patients. The PSC screening revealed negative results concerning both attention and externalizing subscales and positive cases recorded to have internalizing problems only (12.95%, n = 29 patients) which are prone to develop depressive disorders. Table 2 shows that 10.27% (23 patients responded to the internalizing subscale positively, while 6.7% (15 patients) were retrieved as positive internalizing subscale due to their parents responses to the PSC items. This means that 2.68% (n = 6) patients responded negatively to the PSC score while their parents responded positively. (4% (n = 9) patients and their parents confirmed having psychosocial defect, while 6.25% (n = 14) patients reported having problems while their parents were not aware of their kids’ sufferings).

Fig. 1
figure1

RECORD of the strategy of recruitment of the studied population

Table 1 Demographic data of the studied population
Table 2 Results of Pediatric Symptom Checklist

Table 3 shows results of comparison between patients with positive total internalizing subscale of the PSC score compared to those with negative results. Significant risk factors were entered into a multiple logistic regression modeling shown in Table 4. Cyanosis was found to be the only significant independent risk factor for developing internalizing defects in the studied population (p < 0.001). Patients with cyanotic heart diseases were four folds at higher risk of developing internalization defects and depressive disorders compared to patients with acyanotic heart diseases.

Table 3 Comparison between patients with negative and positive results for the total internalizing subscale of PSC as regards variable risk factors
Table 4 Multiple logistic regression of the significant risk factors for developing internalizing problems

Table 5 shows results of HR-QOL scores stratified into 4 domains: physical, emotional, social, and school functioning. Results revealed that the quality of school functioning was the most affected domain with 4.46% (n = 10) of patients being poor. While, the quality of social functioning was the least affected with 85.27% (n = 191 patients) having excellent functioning capacities.

Table 5 Results of Quality of Life scoring assessment

Table 6 shows the total Cronbach’s alpha value of the PSC and HR-QOL scores among the studied population. Cronbach’s alpha coefficient value of 0.846 reflects good reliability of the PSC score. While, Cronbach’s alpha coefficient of 0.900 reflects excellent reliability of the HR-QOL score.

Table 6 Total Cronbach’s alpha of Pediatric Symptom Checklist and Quality of Life scores

Discussion

Extensive research has documented neuro-developmental and psycho-social challenges among children and adolescents with CHD, prompting a scientific statement from the American Heart Association recommending periodic developmental surveillance, screening, evaluation, and re-evaluation [14]. The current study included 224 patients with CHD, aged 4–18 years with a mean ± standard deviation of 99.48 ± 43.37 months. They were 54.5% males (n = 122) and 45.5% females (n = 102). The PSC score implemented in this study revealed no cases with attention problems or externalizing defects. The only positive cases were found to have internalizing impairment (12.95%, n = 29). Interestingly, the PSC items answered by the patients revealed only 23 patients with internalizing deficit. Considering the answers of parents’ items in the PSC, 6 more patients were identified. The internalizing positive cases are more prone to develop anxiety or depressive disorders, positive cases were referred by the researcher to get psychological assessment and proper aid from a specialist. Consistent with the results of the present study, Latal et al [15] in their systematic review stated that psychological difficulties consisted predominantly of internalizing symptoms as retrieved from six studies, while three studies only observed significant externalizing symptoms.

Assessment of possible risk factors related to positive PSC cases showed that surgical interference, heart failure with prolonged treatment, presence of cyanosis were identified statistically significant (p < 0.001, p = 0.001, p < 0.001 respectively). While age and gender were not statistically proven as risk factors (p = 0.530, p = 0.906 respectively). Cyanosis was found to be the only significant independent predictor of developing internalizing deficit by multiple logistic regression modeling (p < 0.001). Comparable to the current study, Areias et al. [16], stated that patients submitted to surgery had higher scores in PSC, namely internalization subscale (p = 0.007), externalization subscale (p = 0.024), and attitude subscale (p = 0.011). Moreover, relatives of their patients referred more to internalization defects (p = 0.006) for the complex forms of CHD and those having physical limitations (p = 0.027). Special emphasis on cyanosis was observed by Latal et al [15] in their systematic review; they found that rates of psychiatric disorders for children with surgically corrected transposition of great arteries and children with severe cyanotic defects ranged between 19 and 46%. In line with these findings, parents of children with cyanosis or reduced physical capacity reported psychological maladjustment especially following surgery as reported by Gupta et al [17] and Bjornstad et al. [18]

Identification of the child with significantly impaired QOL may have the greatest clinical potential for improving outcomes of children with heart disease. Results of HR-QOL score in the current study showed that the majority of studied patients had excellent quality of life as regards the four domains: physical, emotional, social, and school functioning (83.93%, 61.61%, 85.27%, and 65.18% respectively). The worse physical functioning reported was fair in 4.02% (n = 9), the worse emotional functioning was fair in 4.46% (n = 10), social functioning was fair in 2.68% (n = 6). The domain most affected was the school performance being poor in 4.46% (n = 10), and fair in 9.82% (n = 22) of the studied patients. These results are in accordance with many other researches in literature. Krol et al [19] stated that although significantly lower than the scores of healthy children on several domains, yet mean health-related quality of life scores of children with CHD remained relatively good. Moons et al [9] stated that 78.1% were clustered as having a good QOL, 20.1% had moderate QOL, and only 1.8% (n = 11) had poor QOL within a study of 612 adults with CHD. Many studies confirmed the poorer psychological well-being and QOL in CHD patients compared to healthy controls [20, 21]. Uzark et al [22] concluded that comparison of the mean subscale scores for physical, emotional, social, and school QOL revealed that children with CHD were most different than norms especially school functioning scores (p < 0.001). Even though, they added that the majority of these children had a good QOL as perceived by themselves and their parents. The strong religious believes together with the familial consolidation in the setting of the current study helped children and their families to accept and better deal with their suffering as they conceived the disease as “the will of God”. This statement was recorded repeatedly by many families while performing the study. This explains why despite of the low to moderate socio-economic class of the studied population, yet the prevalence of psycho-social impairment and hence the quality of life were found comparable to that recorded in well - developed centers.

The results of the present study showed that measures of internal consistency were high for the two metrics used in the study. The total Cronbach’s alpha of PSC (α = 0.846) which refers to it as a good tool of psychosocial assessment among the studied population. While, the total Cronbach’s alpha for the HR-QOL was estimated to be (α = 0.900) and this refers to an excellent tool of assessment of quality of life among the studied cases. The PSC have been widely used for research and have demonstrated sound psychometric properties. In a huge study by Gardner et al [4] that involved 18.045 patients within a primary care setting, PSC demonstrated good overall internal consistency (α = 0.89) very comparable to the results of the current study. The PSC was also found to have good sensitivity and specificity when compared to similar well validated measures [23]. The HR-QOL tool developed by WHO is more widely valid and reliable psychometric analysis with excellent internal consistency in the study by DeSmedt et al. [24], Cronbach α was found to be 0.92, again very close to the current results. This was proved to be a better tool of analysis if compared to a specific cardiac disease related QOL score developed by Leiden University Medical Centre which reported a questionable reliability. (α = 0.63) [19].

The PSC and HR-QOL scores proved to be effective and valuable instruments for the evaluation of patients with CHD given the increasing number of survivors. Recommendation from previous results suggests to combine both scores for screening children with psycho-social deficit and further detect those with poor quality of life. Applying one tool of screening would probably be less effective in detecting CHD patients in need for psychological support. This goes in parallel with Struemph et al [25] who concluded that PSC as a psychosocial screening tool could not detect impairments in executive, behavioral, social, cognitive and emotional adjustment. These domains are well covered by WHO – HR/QOL tool. So, the combined use of PSC and HR-QOL tools provides better insight into knowledge gaps or unrecognized psychosocial needs.

This study was not without limitations. First, although the size of the studied cases was large enough to produce sufficient power analysis, larger groups could contribute to generalizability of study results. Second, a multicenter collaboration is a means of increasing the number of participants and further expanding knowledge and understanding of the emotional and psychosocial aspect of heart diseases. The third weakness of the study is the potential sample bias because studied patients were recruited from cardiology outpatient clinic and this cohort could not represent the whole CHD population. It is unknown whether patients not receiving specialized care have better or poorer psycho-social functioning. Finally, patient functional status was quantified by subjective rather than objective assessment in view of the age of the studied group whether too young to understand and decide scores, or adolescent age which is basically a time of intense psychological changes and instability even among healthy individuals. So, results of these scores should be interpreted with lot of caution of misleading.

Conclusions

This study bears important implications for implementing psychosocial screening tools as a routine work-up within the cardiology out-patient clinic. This systematic screening could result in increased identification of patient in need for psychology specialist help in order to help them improve their quality of life.

Availability of data and materials

All raw data and materials are available upon request from the corresponding author via an email.

References

  1. 1.

    Apers S, Luyckx K, Rassart J et al (2013) Sense of coherence is a predictor of perceived health in adolescents with congenital heart disease: a cross-lagged prospective study. Int J Nurs Stud 50:776–785

    Article  Google Scholar 

  2. 2.

    Marelli AJ, Mackie AS, Ionescu-Ittu R et al (2007) Congenital heart disease in the general population: changing prevalence and age distribution. Circulation 115:163–172

    Article  Google Scholar 

  3. 3.

    Hearps SJ, McCarthy MC, Muscara F et al (2014) Psychosocial risk in families of infants undergoing surgery for a serious congenital heart disease. Cardiol Young 24:632–639

    Article  Google Scholar 

  4. 4.

    Gardner W, Lucas A, Kolko DJ et al (2007) Comparison of the PSC-17 and alternative mental health screens in at-risk primary care sample. J Am Acad Child Adolesc Psychiatry 46:611–618

    Article  Google Scholar 

  5. 5.

    Jellinek M, Evans N, Knight RB (1979) Use of a behavior checklist on a pediatric inpatient unit. J Pediatr 94(1):156–158

    CAS  Article  Google Scholar 

  6. 6.

    Hacker KA, Myagmarjav E, Harris V et al (2006) Mental health screening in pediatric practice: factors related to positive screens and the contribution of parental/personal concern. Pediatrics 118:1896–1906

    Article  Google Scholar 

  7. 7.

    Goldbeck L, Melches J (2005) Quality of life in families of children with congenital heart disease. Qual Life Res 14:1915–1924

    Article  Google Scholar 

  8. 8.

    Burckhardt CS, Anderson KL (2003) The quality of life scale: reliability, validity, and utilization. Health Qual Life Outcomes 1:60–66

    Article  Google Scholar 

  9. 9.

    Moons P, Van Deyk K, Marquet K et al (2009) Profile of adults with congenital heart disease having a good, moderate, or poor quality of life : a cluster analytic study. Eur J Cardivasc Nurs 8:151–157

    Article  Google Scholar 

  10. 10.

    Fekkes M, Kamphuis RP, Ottenkamp J et al (2001) Health-related quality of life in young adults with minor congenital heart disease. Psychol Health 16:239–250

    Article  Google Scholar 

  11. 11.

    Jellinek MS, Murphy JM, Robinson J et al (2002) Pediatric symptom checklist: screening school-age children for psychosocial dysfunction. J Pediatr 112(2):20–22

    Google Scholar 

  12. 12.

    Varni JW, Seid M, Kurtin PS (2001) Peds QL 4.0: reliability and validity of the pediatric quality of life inventory version 4.0 generic core scales in healthy and patient populations. Med Care 39:800–812

    CAS  Article  Google Scholar 

  13. 13.

    Pannucci CJ, Wilkins EG (2010) Identifying and avoiding bias in research. Plast Reconstr Surg 126(2):619–625

    CAS  Article  Google Scholar 

  14. 14.

    Marino BS, Lipkin PH, Newburger JW et al (2012) Neurodevelopmental outcomes in children with congenital heart disease: evaluation and management. A scientific statement from the American heart association. Circulation 126:1143–1172

    Article  Google Scholar 

  15. 15.

    Latal B, Helfricht S, Fischer JE et al (2009) Psychological adjustment and quality of life in children and adolescents following open heart surgery for congenital heart disease: a systematic review. BMC Pediatr 9(6):1471–1481

    Google Scholar 

  16. 16.

    Areias ME, Pinto CI, Vieira PF et al (2013) Long term psychosocial outcomes of congenital heart disease in adolescents and young adults. Transpl Pediatr 2(3):90–98

    Google Scholar 

  17. 17.

    Gupta S, Giuffre RM, Crawford S et al (1998) Covert fears, anxiety and depression in congenital heart disease. Cardiol Young 8:491–499

    CAS  Article  Google Scholar 

  18. 18.

    Bjonstad PG, Spurkland I, Lindberg HL (1995) The impact of severe congenital heart disease on physical and psychological functioning in adolescents. Cardiol Young 5:56–62

    Article  Google Scholar 

  19. 19.

    Krol Y, Grootenhuis MA, DestrEe-Vonk A et al (2003) Health related quality of life in children with congenital heart disease. Psychol Health 18(2):251–260

    Article  Google Scholar 

  20. 20.

    Rose M, Kȍhler K, Kȍhler F et al (2005) Determinants of the quality of life of patients with congenital heart disease. Qual Life Res 14:35–43

    Article  Google Scholar 

  21. 21.

    Spijkerboer AW, Utens EM, DeKoning WB et al (2006) Health-related quality of life in children and adolescents after invasive treatment for congenital heart disease. Qual Life Res 15:663–673

    CAS  Article  Google Scholar 

  22. 22.

    Uzark K, Jones K, Slusher J et al (2008) Quality of life in children with heart disease as perceived by children and parents. Pediatrics 121(5):e1060–e1067

    Article  Google Scholar 

  23. 23.

    Gardner W, Murphy M, Childs G et al (1999) The PSC a brief pediatric symptom checklist with psychological problem subscales. A report from PROS and ASPN. Ambul Child Health 5:225–236

    Google Scholar 

  24. 24.

    DeSmedt D, Clays E, Hȍfer S et al (2016) Validity and reliability of the heart QOL questionnaire in a large sample of stable coronary patients. Eur J Prev Cardiol 23(7):714–721

    Article  Google Scholar 

  25. 25.

    Struemph KL, Barhight LR, Thacker D et al (2016) Systematic psychosocial screening in a paediatric cardiology clinic: clinical utility of the paediatric symptom checklist 17. Cardiol Young 26(6):1130–1136

    Article  Google Scholar 

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Acknowledgements

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Funding

All authors declare that they did not receive any financial support.

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Authors

Contributions

Aly Abdel-Mohsen was responsible for data analysis and revision of the manuscript. Mona Gamal Kassem - was responsible for protocol development, data collection. Manal A-M Antonios was responsible for the idea of the research, protocol development, data analysis and writing of the manuscript. The corresponding author has full access to data and has the right to publish such data. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Manal A.-M. Antonios.

Ethics declarations

Ethics approval and consent to participate

All procedures performed in the current study were in accordance with the 1964 Helsinki Declaration and its amendments. The University ethical committee approved the study design on March 2018 (IRB:00007555-FWA:00018699, serial:0105443). After explaining the benefit of the study to parents or care-givers of the patients, a consent to participate in the study was obtained.

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An informed written consent was obtained for the purpose of publication.

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Mohsen, A.A., Kassem, M.G. & Antonios, M.AM. Psychosocial assessment and quality of life assessment in children with congenital heart in a developing country. Egypt Pediatric Association Gaz 69, 27 (2021). https://doi.org/10.1186/s43054-021-00074-y

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Keywords

  • Psychosocial assessment
  • PSC
  • Quality of life
  • Congenital heart diseases