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06-06-2020 | Original Paper | Uitgave 8/2020 Open Access

Journal of Child and Family Studies 8/2020

Evaluation of “SIBS”, An Intervention for Siblings and Parents of Children with Chronic Disorders

Tijdschrift:
Journal of Child and Family Studies > Uitgave 8/2020
Auteurs:
Yngvild Bjartveit Haukeland, Nikolai Olavi Czajkowski, Krister Westlye Fjermestad, Wendy K. Silverman, Svein Mossige, Torun Marie Vatne
Belangrijke opmerkingen
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
A chronic disorder (CD) affects intellectual and/or physical functioning and is characterized by prolonged duration and no spontaneous or complete cure (Stanton et al. 2007). The United Nations Children’s Fund ( 2013) has estimated that one in 20 children lives with a CD. Many children with CDs have typically developing siblings (herein: siblings). Siblings may be exposed to difficult and challenging experiences such as parental absence due to hospitalizations, behavior problems displayed by the child with CD, differential parental treatment, and witnessing medical emergencies (e.g., Knecht et al. 2015). Although siblings do not necessarily meet criteria for clinical diagnoses, a meta-analysis showed they are at increased risk of emotional and behavioral problems compared to controls (Vermaes et al. 2012). Due to these multiple risks, siblings may need interventions.
Existing sibling interventions typically involve group sessions focused on the sibling experience, often combined with social-recreational activities. Several studies have documented positive outcomes for siblings’ psychological well-being, stress, self-esteem, social support, and sibling relationships (e.g., Lobato and Kao 2005; Smith and Perry 2005; Williams et al. 2003). These are important and promising initial findings. However, no sibling intervention qualifies as “well-established”, in terms of controlled designs, sufficient sample sizes, and sufficient descriptions of session contents (Hartling et al. 2014; Tudor and Lerner 2015). Many existing interventions are also time-consuming for strained families, requiring participation in sessions with duration from twelve up to 20 h (e.g., Cooke and Semmens 2010; McCullough and Simon 2011). Furthermore, many previous sibling interventions studies have included no parental involvement or have provided limited descriptions of the parental component (Tudor and Lerner 2015). These are important limitations, given that CDs affect the entire family system, and that parental behaviors and attitudes may be key to understand and relieve siblings’ emotional distress (Incledon et al. 2015; Lobato and Kao 2002; Taylor et al. 2001). Furthermore, no previous intervention has explicitly addressed family communication. This is surprising, given that CDs in children have been associated with poorer family communication (Murphy et al. 2017), and given the documented links between family communication and children’s adjustment (e.g., Barnes and Olson 1985; Jackson et al. 1998).
Many of the risks siblings are exposed to are inevitable due to the nature of the CD. Thus, identifying and targeting modifiable factors to improve mental health and adaptation in siblings is crucial. The main aim of the current intervention is to improve parent-sibling communication, for three main reasons. First, siblings experience a range of different and often contradictory emotions in relation to the CD (Brennan et al. 2012; Haukeland et al. 2015; Knecht et al. 2015). Contradictory emotions are difficult for children to comprehend (e.g., Aldridge and Wood 1997; Zajdel et al. 2013), and adult support is beneficial to make sense of such experiences. Children’s psychosocial adjustment is related to their parents’ ability to label, validate, and encourage children to talk about emotions (e.g., Fivush 2007; Gentzler et al. 2005). Thus, open parent-child communication may increase siblings’ emotion sharing, develop siblings’ emotional understanding, and potentially lead to more adaptive problem solving and coping strategies (e.g., Fivush 2007; Gentzler et al. 2005). However, a recent meta-analysis identified that communication in families of children with CDs is characterized by lower levels of warmth/structure and higher levels of hostility/intrusiveness/withdrawal compared to families of typically developing children (Murphy et al. 2017). Siblings also often report to cope with emotional experiences alone rather than seek support from others (Brennan et al. 2012; Haukeland et al. 2015). Compared to controls, siblings have been found to be less aware of emotions and less willing to tell parents about difficult emotions, which in turn is related to more emotional and behavioral problems (Long et al. 2013). In line with this, we argue that targeting parent-sibling communication may help siblings share their emotional experiences and help parents provide emotional support, which in turn may improve siblings’ emotional and behavioral functioning and adaptation.
A second reason to target parent-sibling communication is its’ importance for siblings’ understanding of their brother or sister’s CD. Siblings often have limited, misleading, and/or incorrect knowledge about the CD, and poorer CD-knowledge is associated with poorer sibling adjustment (e.g., Lobato and Kao 2002; Vatne et al. 2015). Increased CD-knowledge in children has been found to reduce anxiety and improve perception of control and adaptation (e.g., Houtzager et al. 2001; Riekert et al. 1999). For example, improved CD-knowledge may make it easier to explain the CD and CD-related behaviors to peers. Without sufficient information, siblings tend to rely on their own interpretations, which may be misleading or even disruptive (Vatne et al. 2015). Given that parents are siblings’ main source of CD-information, supporting parents in communication about the CD may therefore benefit siblings.
Finally, targeting parent-sibling communication is important given that parenting a child with CD is associated with more parental stress, burnout symptoms, and depression compared to norms (e.g., Cousino and Hazen 2013; Singer 2006). These problems may reduce parents’ capacity for attentive listening, which limits parental abilities of relating to and empathizing with siblings’ experiences (e.g., Cicchetti and Toth 1998; Incledon et al. 2015). Furthermore, children are often sensitive to their parents’ distress (e.g., Hilton and Gustavson 2002; Lucas-Thompson et al. 2017). Thus, siblings may be reluctant to share emotional challenges with their parents not to add to their parents’ strain. Hence, helping siblings share emotions and provide families with opportunities to communicate is important and may increase parental informative and emotional support to siblings.
Herein, we present initial evidence from an open trial of a joint parent-sibling intervention (SIBS; short for siblings; Vatne et al. 2019) that focus on parent-sibling communication. SIBS is a five-session manual-based program comprising separate group sessions for siblings and parents and joint sibling-parent sessions. The objectives of SIBS are to strengthen parent-sibling communication and empower parents to provide informational and emotional support to siblings. To assess initial acceptability and feasibility of the SIBS intervention, we measured sibling and parent satisfaction with the intervention and group leader adherence to the manual. We measured outcomes at baseline (T1), three months (T2) and six months (T3) after participation in SIBS. Parent-sibling communication is the primary outcome. Secondary outcomes are sibling emotional and behavioral problems, adaptation to the CD and CD-knowledge. Based on existing evidence, we argue these secondary outcomes may be modified through the improvement of parent-sibling communication quality (e.g., Gentzler et al. 2005; Incledon et al. 2015; Lobato and Kao 2002).
The main research questions are: (1) How was the intervention perceived by participants?, (2) To what degree did group leaders adhere to the manual?, (3) Does the quality of parent-sibling communication improve from pre-intervention to 6-months post participating in SIBS?, (4) Do the secondary outcomes of emotional/behavioral symptoms and adaptation to the CD decrease, and does CD-knowledge increase from pre-intervention to 6-months post participating in SIBS?, and (5) Can improvements in the secondary outcomes be accounted for by the quality of parent-sibling communication? We expected parent-sibling communication and secondary outcomes to improve from baseline to post-intervention. We also expected that improvement in the secondary outcomes would be associated with quality of parent-sibling communication.

Method

Participants

The sample comprised 99 siblings aged 8 to 16 years ( M = 11.5 years; SD = 2.0; 54.5% girls), each participating together with one parent in the SIBS intervention (i.e., biological mother (63.6%), biological father (31.3%), adoptive father (3.0%), or stepmother (2.0%)). Both parents did however complete the questionnaires. Mean parental age was 40.9 years for mothers ( SD = 4.9 years; range = 31–53) and 43.8 years for fathers ( SD = 5.5; range = 34–59). See Table 1 for further demographics and parents’ subjective evaluation of the family economy. All participating siblings had a brother or sister with a CD. The children with CDs were aged 3 to 21 years ( M = 10.4 years; SD = 4.3; 45.0% girls). See Table 1 for overview of their diagnoses. The rare diagnoses were categorized as either involving mainly intellectual or physical impairment. The mean number of children per family was 3.1 ( SD = 1.0) and 71.1% of participants had more siblings in addition to the child with a CD. Ethnicity was not registered, however the vast majority was Caucasian.
Table 1
Participant background information
 
Percent
Diagnosis of child with CD
 RD mainly involving intellectual impairment
29.3
 Autism spectrum disorders
25.3
 RD mainly involving physical impairment
23.2
 Congenital heart disease
12.1
 Down syndrome
7.1
 Cerebral palsy
3.0
Sibling relationship order
 Siblings older than child with CD
59.8
Family constellations*:
Parents of sibling living together a
76.5
Parental education (% with ≥4 years of higher education)
 Paternal education**
27.3
 Maternal education
39.4
Family economy***
 “Good”
57.9
 “Neither good nor poor”
29.5
 “Poor”
8.4
 “Varying a lot”
2.1
CD chronic disorder, RD rare disorder, including: Angelman syndrome, Becker muscular dystrophy, Bethlem myopathy, Chromosome 5q deletion syndrome, Congenital muscular dystrophy, Cri-du-chat syndrome, Duchenne muscular dystrophy, Fragile X syndrome, Friedreich’s ataxia, Hereditary ataxis, Humoral immune deficiency, Klinefelter syndrome, Neurodegenerative disease, Neurofibromas type 1, Noonan syndrome, Osteogenesis imperfecta, Prader–Willi syndrome, Smith–Magenis syndrome, Spinal muscular atrophy, Velocardiofacial syndrome
*/**/***Information missing in one, two, or four cases, respectively
aSix siblings lived in single-parent households, of which three siblings had a deceased parent. Remaining percentage corresponds to siblings with parents not living together with shared child caring

Procedures

We recruited participants from six sites providing services to families from all regions of Norway; two national specialist disorder centers for rare disorders and autism spectrum disorders and four national user associations for autism spectrum disorders, cerebral palsy, congenital heart disease, and Downs’s syndrome in Norway. We preselected family courses and camps in different regions of Norway that were scheduled by these six sites to ensure a balanced distribution between CDs characterized by mainly intellectual or physical impairment. Further, all sites represented settings in which families of children with the included CDs naturally gathered and had a timeframe that allowed for implementation of the SIBS intervention (see Fig. 1 below). All courses/camps had a minimum of two overnight stays for the families and the SIBS intervention was part of a larger camp/course program otherwise comprising lectures for parents about CD-related topics and social/recreational activities for all family members. Of families accepted for the courses/camps, we invited those with at least one typically developing sibling aged 8 to 16 years to take part in the study through an information letter, with separate versions for parents and for siblings. If the sibling and/or the parent had a CD, they were not invited to participate in the study. Written informed consent was obtained, and families were informed that participation was voluntary and would not affect current or future course/camp participation. No financial incentives were offered. The study was approved by the local institutional board for research ethics.
See Fig. 2 for participant flow. Families reported different reasons for declining: (1) the sibling did not want to participate ( n = 7); (2) participation not possible due to logistics ( n = 5); (3) parents did not want this kind of intervention in a setting with a primarily social focus (i.e., a weekend camp) ( n = 2); (4) the sibling had a diagnosis him-/herself (not known to the project group at the time of recruitment) ( n = 1); and (5) the diagnosis of the child with CD being too new for the family ( n = 1). In the remaining cases, parents did not provide any reason for declining. At T1, parents and siblings >11 years of age received questionnaires and instructions by postal mail approximately one week prior to the course/camp. Siblings <11 years filled out the T1 questionnaires at site, under the assistance of a project assistant. At T2 and T3, we sent questionnaires by postal mail to parents and all siblings. We encouraged parents to let the siblings fill out the forms by themselves and to contact the project group if they had questions. To prevent dropout, we sent SMS reminders before the follow-up time points.
Twenty-two groups were conducted with three to seven sibling and parent participants in each group ( M = 4.2). The maximum age gap within each sibling group was set to three years, to adapt group discussions of emotions, thoughts, and behaviors to participants’ developmental levels. All groups were led by two group leaders (i.e., three clinical psychologists, one special educator, or seven advanced clinical psychology students). Due to parallel program at the courses/camps (i.e., lectures for parents), only one parent (63.6% mothers) from each family participated in SIBS. The decision about which parent was left to the families. In cases where two siblings from the same family participated ( n = 13), both parents were encouraged to participate but had to remain in the same parent-sibling dyads throughout the intervention. Of the participating families, only one family explicitly withdrew from the study post-intervention due to time constraints. The remaining families were lost to follow-up of unknown reasons.

Intervention Manual

The SIBS manual is based upon previous research on sibling mental health and on group interventions for children and youth, clinical experiences, and user voices. A manual was developed through several steps prior to the study and is described elsewhere (Vatne et al. 2019). SIBS comprises five sessions (see Fig. 1) organized as three parallel sessions for parents and siblings and two joint sibling-parent sessions. Interaction between the parent and the sibling group is a key element. In sessions 2 and 4, siblings prepare questions about the CD (session 2) and identify emotional challenges (session 4), which are presented to the parent group by one of the sibling group leaders. In addition, siblings prepare individual questions and challenges that are discussed in parent-sibling dyads in sessions 3 and 5, respectively. At the end of session 5, a contract for a follow-up conversation when arriving home is signed. The focus of the intervention is to strengthen the quality of parent-sibling communication through increasing parental listening, exploration, and validation of the siblings’ experiences related to their situation as a brother or sister to a child with a CD.
Each SIBS session has a set of mandatory manual items. To examine adherence, the manual developers used a manual checklist to rate video recordings of six interventions (i.e., 27.3% of total interventions; representing all group leaders) in terms of manual items covered in sessions.

Measures

User acceptability

We measured participant satisfaction with an evaluation form developed for the current study. Siblings and parents rated their experience with SIBS immediately after session 5 (i.e., on site). Siblings rated importance and benefit of SIBS on a scale from 1 (not important/useful) to 10 (very important/useful), and their overall satisfaction with SIBS on a scale from 1 to 4 where 4 reflects high satisfaction. Parents rated the degree to which the aims of SIBS were attained, on a scale from 0 (not met) to 4 (highly met). Anonymity in responses was ensured during completion and participants left the evaluation forms in piles (i.e., they were not handed to group leaders).

Primary outcome

We used the child version of Parent-Child Communication Scale (PCCSc; Conduct Problems Prevention Research Group 1994) to measure quality of parent-sibling communication. The 5-item “parent communication” subscale of the PCCSc was used in the present study. Siblings rated openness and problems in parent-sibling communication on a 5-point scale from 1 ( almost never) to 5 ( almost always) (e.g.; “ Does your mother try to understand what is on your mind?”) regarding the parent who participated in SIBS. Satisfactory reliability has been reported for the PCCSc (α = 0.75; Pek 2006; McCarty and Doyle 2001). In the present study, internal consistency of the parent communication subscale of PCCSc was satisfactory (α = 0.63 to 0.82).

Secondary outcomes

We used the Strengths and Difficulties Questionnaire (SDQ; Goodman et al. 2000) to assess siblings’ emotional and behavioral problems. Siblings rated emotional, conduct, attention, and peer problems on a 3-point scale from 0 ( not true) to 2 ( certainly true) (e.g.; “I worry a lot”) on the 25-item total self-report SDQ (SDQ-S). We included parents’ ratings of siblings’ emotional and behavioral problems using the SDQ parent report (SDQ-P). Adequate test-retest reliability, concurrent validity, and the ability to distinguish between community and clinical samples has been reported for the SDQ (α = 0.80; Goodman 2001; Goodman and Scott 1999; Vostanis 2006). In the present study, internal consistency on the SDQ-S was satisfactory (α = 0.77 to 0.82). For SDQ-P, internal consistency was satisfactory for fathers (α = 0.75 to 0.82) and mothers (α = 0.75 to 0.87) on all time points.
To measure sibling adaption to the CD, we used the Negative Adjustment Scale (NAS; Lobato and Kao 2002; Sahler and Carpenter 1989). The 18-item NAS is a modified version of the Sibling Perception Questionnaire (SPQ; Sahler and Carpenter 1989). Siblings rated interpersonal relationships, intrapersonal responses, fear, and communication about the CD on an unnumbered 4-point scale from “never” to “a lot” (e.g.; “I feel angry because of my brother or sister’s disability or illness”). Higher scores reflect more negative sibling adaptation to the CD. Satisfactory internal consistency has been reported for the NAS (α = 0.79; Lobato and Kao 2002). In the present study, internal consistency on NAS was satisfactory (α = 0.69 to 0.76).
To assess siblings’ CD-knowledge, we used the Sibling Knowledge Interview (SKI; Lobato and Kao 2002). The level of CD-explanation was used in the present study. Trained interviewers (members of the project group and research assistants) asked siblings to explain the CD of their brother or sister in terms of symptoms, cause, and treatment. The SKI was administered either face-to-face (T1; at site prior to SIBS) or by phone (T2, T3). All interviews were tape-recorded. Siblings’ responses were scored from 1 (no understanding) to 5 (accurate knowledge) according to the scoring system developed by Lobato and Kao ( 2002). Three trained project assistants (independent of interviewers) scored the SKIs, and obtained a satisfactory interrater reliability (α = 0.68 to 0.87).

Data Analyses

Bivariate Pearson correlations between all sibling-reported outcome variables across all time points (T1-T3) are given in Table 2. We expected substantial within-group variation on the outcome measures in our sample as it was a non-clinical sample with considerable variation in CDs, and as sibling status and age were the only inclusion criteria for participation. Consequently, growth curve modeling was chosen to make us able to investigate both within-subject changes over time and between-subject variation. In addition to evaluate changes in mean scores at the group level over time, we also wanted to investigate the individual growth trajectories (Gelman and Hill 2007). A further advantage of this approach is that it enables inclusion of individuals with partial data (Heck and Thomas 2015), which is an advantage in longitudinal studies where missing data is common. We investigated variances in both intercept (estimated initial status at baseline) and slopes (estimated change in outcome measures over time). First, we examined a growth curve model for our primary outcome variable, parent-sibling communication (PCCSc). We conducted growth curve analyses in a number of stages. In a first baseline model (Model 1a), only a random intercept was included. In a second model (Model 2a), we added a linear effect of time. Then, we added gender of the participating parent as a covariate (Model 3a) to investigate a possible effect of the parent being a mother or father on the communication variable.
Table 2
Correlation coefficients (Pearsons r) of outcome variables across T1-T3
 
Parent-sibling communication
Emotional and behavioral problems
Adaptation to CD
CD-knowledge
 
PCCSc T1
PCCSc T2
PCCSc T3
SDQ-S T1
SDQ-S T2
SDQ-S T3
NAS T1
NAS T2
NAS T3
SKI T1
SKI T2
SKI T3
Parent-sibling communication
 PCCSc T1
0.59**
0.58**
−0.18
−0.18
−0.11
−0.12
−0.20
−0.20
−0.03
0.02
0.07
 PCCSc T2
0.76**
−0.13
−0.27*
−0.19
−0.13
−0.31**
−0.14
−0.15
−0.06
0.01
 PCCSc T3
−0.24
−0.32*
−0.20
−0.22
−0.34*
−0.28*
−0.12
0.14
−0.04
Emotional and behavioral problems
 SDQ-S T1
0.72**
0.73**
0.51**
0.55**
0.46**
−0.10
−0.21
−0.01
 SDQ-S T2
0.76**
0.29*
0.45**
0.27*
0.06
−0.03
0.09
 SDQ-S T3
0.43**
0.44**
0.42**
−0.04
−0.16
−0.12
Adaptation to CD
 NAS T1
0.75**
0.79**
−0.13
−0.06
−0.09
 NAS T2
0.81**
−0.12
−0.08
−0.07
 NAS T3
−0.15
−0.11
0.11
CD-knowledge
 SKI T1
0.58**
0.52**
 SKI T2
0.59**
 SKI T3
*Correlation is significant at the 0.05 level (2-tailed); **Correlation is significant at the 0.01 level (2-tailed)
For the three remaining outcome variables, (SDQ-S/SDQ-P, NAS, and SKI), we conducted separate growth curve analyses in the following procedure: Model 1b and Model 2b were estimated in the same way as with the primary outcome variable. Then, we included parent-sibling communication (PCCSc) as a time-varying covariate (Model 3b), to investigate whether siblings’ levels of mental health problems and/or the quality of their explanations of their brother or sister’s CD could be partly explained by perceived quality of communication with the participating parent. Finally, we added siblings’ age and gender as fixed covariates (Model 4b) to assess possible associations with the individual trajectories over time. The overall best model was chosen based on the Akaike Information Criterion (AIC) (Akaike 1974). Models were fitted by means of the Maximum Likelihood (ML) estimator, with an unstructured covariance structure for the random effects. The time variable was coded as 0, 1, or 2 corresponding to the assessment waves (baseline (0), three (1) and six months (2) after). Data were analyzed using IBM SPSS, version 25 (IBM Corp 2017).
When significant changes were seen, we calculated effect sizes by applying Cohen’s d and corresponding indicators for small ( d = 0.2), medium ( d = 0.5), and large ( d = 0.8) effect sizes (Cohen 1988). We investigated intraclass correlation (ICC) to examine possible clustering of data at intervention level, as SIBS was delivered in contexts that varied across the data collection in terms of setting, number of sibling participants in the group, group leaders, and type of CDs of the participants’ siblings. All ICC coefficients were <0.25, an identified cut-off by Guo ( 2005) for indications of nesting. As such, we did not find any reason to investigate cluster-specific intercepts and slopes.
In terms of missing data, 44.4% of participating families were lost to follow-up (T3) for unknown reasons. Examination of selective attrition showed no significant differences in socio-economic status or baseline scores for the four outcome measures. Furthermore, Little’s ( 1986) MCAR tests indicated data were missing completely at random.

Results

Participant Satisfaction and Adherence

Mean score on overall satisfaction with the SIBS intervention among siblings was 3.5 ( SD = 0.6; range 2–4), indicating high satisfaction. The mean score for perceived importance of the intervention among siblings was 8.1 ( SD = 1.9), and for perceived utility on the same scale the mean score was 8.2 ( SD = 1.9), both reflecting very high satisfaction. Parents gave a mean score of 3.4 ( SD = 0.7; range 1–4) when asked about their overall satisfaction with SIBS. Further, parents gave mean scores on the subscales ranging from 3.0 to 3.3 when rating whether they regarded that they had obtained: (1) increased competence in talking to siblings about the CD ( M = 3.0; SD = 1.0); (2) increased insight into siblings’ CD-knowledge and challenges ( M =  3.2; SD = 1.0); and (3) increased parent-child communication (M = 3.3, SD = 0.9). Altogether, parents’ scores reflected high approval of the intervention.
Regarding group leaders’ adherence to the intervention manual, average fidelity per intervention was 85.6% (range 78.7%–93.9%).

Correlations between Outcome Variables

See Table 2 for correlations between the sibling-reported outcome variables at all time points (See Appendix A for a complete table including parent report). Parent-sibling communication (PCCSc) was negatively correlated with sibling-reported emotional and behavioral problems (SDQ-S) and difficulties in adaptation to the CD (NAS), significantly so at some assessment points. This indicates that lower quality in parent-sibling communication is associated with higher levels of self-reported mental health problems in siblings. SDQ-S/P and NAS were significantly positively correlated at all time points. However, the correlations were significant only at T2 and T3 for mother report, and at T1 and T2 for father report.

Growth Curve Modeling of Change over Time

See Fig. 3 for spaghetti plots of all sibling-reported outcome variables. These plots show the within-subjects individual trajectories. In addition, we have added the expected outcome levels from Model 2a-b (linear effect of time) to highlight the overall change over time. There was considerable variability in scores in both baseline levels and across time among participants. However, at the between-subject level, the average growth rate on the primary outcome variable (PCCSc) was positive (b = 0.14, p = 0.001), indicating improved sibling-rated quality of communication over time. Both SDQ-S and NAS showed a negative trend over time, indicating improved mental health from T1 to T3. In addition, the average slope for CD-knowledge (SKI) was slightly positive, indicating increased knowledge over time at the group level.

Growth curve analyses

Across all measures, the variances in intercept were significant (p < 0.001 for all outcome variables). However, the variances of the slopes were all non-significant, which means there was not significant variability between participants in change over time. Covariations between intercept and slope were also non-significant across measures.
Model fit for the primary outcome variable
See Table 3 for parameter estimates from the three models for the PCCSc. When investigating linear effects of time (Model 2a), we found a small, significant positive change for siblings’ perceived quality of parents’ communication [b = 0.14, p = 0.001]. This model had the best overall fit. As seen in Model 3a, adding gender of participating parent as a covariate did not improve model fit, suggesting that the gender of the parent did not have a significant effect on the levels of the communication variable.
Table 3
Parent-sibling communication (PCCSc) growth curve modeling across T1-T3
 
Model 1a
Model 2a
Model 3a
 
Est.
95% CI
Est.
95% CI
Est.
95% CI
Fixed effects
 Intercept
4.06**
(3.93, 4.18)
3.95**
(3.81, 4.09)
3.95**
(3.78, 4.11)
 Slope
   
0.14*
(0.06, 0.22)
0.14*
(0.06, 0.22)
 PP gender a
       
0.01
(−0.25, 0.27)
Model fit
 AIC
423.647
 
415.058
 
417.049
 
Results of growth curve modeling. Estimates (Est.) and 95% confidence intervals (CI) with lower and upper bound
AIC Akaike information criterion, PP participating parent
* p < 0.01; ** p < 0.001
aEffect of being a father
Model fit for the secondary outcome variables
See Table 4 for estimations of the four different models for all three secondary outcome variables (SDQ-S, NAS, and SKI). Regarding SDQ-S, the estimates of the model representing a linear effect of time (Model 2b) indicate that emotional and behavioral problem burden decreased significantly over time (p = 0.009). In Model 3b, which we found to have the best overall fit, it is seen that when adding parent-sibling communication as a time-varying covariate into the model, the effect of time is no longer significant (p = 0.061). This indicates that communication partly accounted for the positive change over time. Allowing sibling gender and age into the model (Model 4b), did not further improve model fit.
Table 4
Growth curve models of secondary outcome variables (SDQ-S, NAS, and SKI) across T1-T3
 
Model 1b
Model 2b
Model 3b
Model 4b
 
Est.
95% CI
Est.
95% CI
Est.
95% CI
Est.
95% CI
Emotional and behavioral problems (SDQ-S)
               
 Fixed effects
               
  Intercept
9.27***
(8.29, 10.24)
9.76***
(8.71, 10.81)
15.01***
(11.35, 18.67)
17.60***
(11.17, 24.03)
  Slope
   
−0.68**
(−1.18, −0.18)
−0.49
(−1.00, 0.02)
−0.49
(−1.01, 0.02)
  Parent-sibling communication (PCCSc)
       
−1.33**
(−2.22, −0.44)
−1.30**
(−2.19, −0.41)
  Sibling age
           
−0.21
(−0.67, 0.25)
  Sibling gender a
           
−0.69
(−2.58, 1.20)
 Model fit
               
  AIC
1305.243
 
1302.120
 
1295.656
 
1298.291
 
Adaptation to CD (NAS)
               
 Fixed effects
               
  Intercept
1.95***
(1.87, 2.02)
1.98***
(1.90, 2.06)
2.43***
(2.17, 2.69)
2.84***
(2.38, 3.31)
  Slope
   
−0.05**
(−0.08, −0.02)
−0.03
(−0.07, 0.00)
−0.03*
(−0.07, 0.00)
  Parent-sibling communication (PCCSc)
       
−0.11***
(−0.18, −0.52)
−0.12***
(−0.18, −0.06)
  Sibling age
           
−0.04*
(−0.07, 0.00)
  Sibling gender a
           
0.07
(−0.06, 0.21)
 Model fit
               
  AIC
105.567
101.265
90.658
89.190
CD-knowledge (SKI)
               
 Fixed effects
               
  Intercept
3.93***
(3.78, 4.07)
3.74***
(3.56, 3.91)
3.56***
(2.90, 4.21)
2.22***
(1.20, 3.24)
  Slope
   
0.26***
(0.16, 0.36)
0.25***
(0.15, 0.35)
0.27***
(0.16, 0.38)
  Parent-sibling communication (PCCSc)
       
0.05
(−0.11, 0.21)
0.02
(−0.15, 0.18)
  Sibling age
           
0.11**
(0.05, 0.18)
  Sibling gender a
           
0.16
(−0.11, 0.44)
 Model fit
               
  AIC
493.452
471.649
473.427
465.447
Results of growth curve modeling. Estimates (Est.) and 95% confidence intervals (CI) with lower and upper bound
CD chronic disorder, SDQ-S strengths and difficulties questionnaire, self-report, NAS negative adjustment scale, SKI sibling knowledge interview, PCCSc parent-child communication scale, child version (parent communication subscale), AIC Akaike information criterion
* p < 0.05; ** p < 0.01; *** p < 0.001
aEffect of being a boy
We observed the same pattern for NAS: we found a significant decrease in scores over time (Model 2b) (p = 0.003), indicating improved adaptation to the CD from T1 to T3. The effect of time was no longer significant (p = 0.055) when adding PCCSc as a time-varying covariate (Model 3b). Again, this provided better model fit than the effect of time alone, suggesting that perceived quality of communication partly explained the level of adaptation problems. However, contrary to what we observed with SDQ-S, the age of the sibling seemed to have a mediating effect, as adding this covariate into the model (Model 4b) provided the best overall fit.
Lastly, in CD-knowledge (SKI), we found a significant improvement over time in the ability to explain the brother or sister’s condition accurately (Model 2b; p = 0.000). For this outcome variable, adding parent-sibling communication (Model 3b) did not improve model fit, indicating that the increased accuracy of participants’ explanations of the CD cannot be attributed to perceived quality of communication [with participating parent]. On the other hand, adding age as a covariate (Model 4b) resulted in the best overall fit, i.e. higher age of participants was associated with more accurate CD-knowledge over time.
Estimates from the growth curve models for parent reported emotional and behavioral problems (SDQ-P) are provided in Appendix B, showing that they partly reflected the models based on SDQ-S. As with sibling report, parent reported problems decreased over time. However, the decrease was only significant for father report (p = 0.026). Unlike the model for sibling report, adding communication as a time-varying covariate for SDQ-P father report (Model 3b) did not improve model fit. Including sibling gender and age into the models (Model 4b) for SDQ-P did not improve model fit, like the models for sibling report.

Effect Sizes

Comparisons of mean scores in outcomes at the different assessment waves yielded medium to small effect sizes (Cohen 1988). See Table 5 for details.
Table 5
Mean scores and effect sizes (Cohen’s d) of differences in means across assessment waves
Variable
Measure
T1 mean ( n; sd)
T2 mean ( n; sd)
T3 mean ( n; sd)
d
(T2; T1)
d
(T3; T1)
Parent-sibling communication
PCCSc
3.97 ( 97; 0.73)
4.17 ( 77; 0.78)
4.33 ( 55; 0.77)
0.26
0.48
Emotional/behavioral problems
 Sibling self-report
SDQ-S
9.86 ( 98; 5.45)
8.68 ( 76; 4.82)
8.19 ( 56; 5.38)
0.23
0.31
 Mother report
SDQ-P
9.20 ( 93; 6.69)
8.59 ( 74; 6.58)
7.92 ( 54; 5.28)
0.09
0.21
 Father report
SDQ-P
9.27 ( 90; 6.98)
8.65 ( 70; 5.64)
7.86 ( 47; 4.62)
0.10
0.24
Adaptation to CD
NAS
1.99 ( 98; 0.41)
1.90 ( 77; 0.39)
1.89 ( 54; 0.35)
0.22
0.26
CD-knowledge
SKI
3.69 ( 91; 0.92)
4.01 ( 80; 0.80)
4.23 (7 3; 0.76)
0.37
0.64
n sample size, sd standard deviation, CD chronic disorder, PCCSs parent-child communication scale, child version (parent communication subscale), SDQ-S strengths and difficulties questionnaire, self-report, SDQ-P strengths and difficulties questionnaires, parent report, NAS negative adjustment scale, SKI sibling knowledge interview

Discussion

We evaluated a novel five-session intervention (SIBS) for siblings of children with CD and one of their parents. Both siblings’ and parents’ evaluation of the intervention indicated high acceptability. Overall, analyses of outcomes showed significant improvement over time in quality of parent-sibling communication, the primary target of the intervention, and in sibling reports of emotional and behavioral problems, adaptation to the CD, and CD-knowledge. Furthermore, the observed improvements in the sibling-reported mental health measures were partly accounted for by the quality of parent-sibling communication. Our results hold promise for SIBS, although the uncontrolled design prevents us from establishing that the intervention caused these changes.
Group leader adherence to the intervention manual was good, supporting the feasibility of the intervention. Further, conducting a brief intervention enabled non-demanding participation of families being under considerable strain. The large number of families participating and retaining throughout the intervention sessions indicated SIBS as a feasible intervention. However, high attrition from baseline to follow-up challenges the feasibility of the intervention as a research trial.
In terms of possible beneficial outcomes of SIBS, we found improved quality of communication across all time points. Our assumption was that teaching parents about supportive ways to respond to siblings’ expressions of challenges they experience due to the CD would improve parent-sibling communication. This assumption was supported. As such, including a psychoeducational component that focuses on strengthening parent-sibling communication in interventions seems to be beneficial. Further research is needed to examine the effects of interventions targeting parent-sibling communication on sibling mental health.
Both mothers and fathers participated in SIBS, however only one parent participated per sibling. Our finding that sibling-rated communication with both genders of parents improved may indicate a strength of the intervention. It would be interesting for future research to examine the role of different conjunctions of the parent-sibling dyads (e.g., mother-daughter, father-daughter), as previous research has pointed to gender differences both in children’s emotional expressions (e.g., O’Kearny and Dadds 2004) and that the nature of parent-child emotional dialogues may be dependent on child and parent gender (e.g., Adams et al. 1995). Further, it may be valuable to include both parents’ and siblings’ report of the quality of parent-sibling communication. In order to strengthen the psychoeducational material of SIBS, it would also be valuable to investigate more deeply, i.e. through observational measures, how parents relate to it and turn the key messages into practice when talking to siblings. It would be particularly interesting to utilize measures that capture how parents respond to the children’s emotional expressions and whether space is provided for further elaboration of the siblings’ thoughts and feelings about their experiences related to having a brother or sister with a CD.
Growth curve modeling of the sibling mental health measures (i.e., SDQ-S and NAS) showed decreases in problem burden over time. Including parent-sibling communication as a covariate provided better model fit, rendering the effect of time no longer significant. A plausible interpretation is that the quality of parent-sibling communication is a central factor for siblings’ mental health. The possible role of communication is further supported by the negative correlations found between levels of parent-sibling communication and scores on both SDQ-S and NAS at all time points. These findings support our assumption of the key role parent-sibling communication plays for sibling mental health and are in line with previous studies suggesting that emotional support from parents is associated with better adaptation in siblings to CD in a brother or sister (e.g., Incledon et al. 2015; Long et al. 2013). The findings also make sense considering the vast research evidence from normative samples linking the emotional responsiveness of parents to child adjustment (e.g., Gottman et al. 1996; McCarty et al. 2005). Nevertheless, we were not able to conclude that the observed positive change in the communication variable caused the observed change in the mental health variables. Future controlled studies with larger samples are needed to further investigate the association between parent-sibling communication and sibling mental health.
Although sibling emotional and behavioral problems decreased over time for all informants, the decrease was significant only for sibling and father report, and not for mother report. Sibling research has generally been criticized for relying mainly on parent report (e.g., Giallo et al. 2012), due to documented discrepancies between parent and sibling report (Guite et al. 2004; Houtzager et al. 2005). Therefore, our finding of improved emotional and behavioral problems from siblings’ perspective is an important aspect of the interventions’ potential. Several factors may impact parents’ rating of their typically developing children’s mental health, such as levels of stress and depression, which is documented to be higher in parents of children with CDs than in norms (e.g. Cousino and Hazen 2013; Singer 2006). In our study, there was higher overlap between sibling-father report compared to sibling-mother report on the SDQ scores over time. Mother report on SDQ-P has been associated with emotional distress and burden of care (Taylor et al. 2001). Thus, given the tendency of CDs in children to be linked to more experienced distress in mothers than in fathers (e.g., Hansen et al. 2012; Vrijmoet-Wiersma et al. 2008), SDQ-P for mothers may be more associated with mothers’ own psychological health. However, more research is needed to disentangle possible explanations for the differences between mother and father report on this variable.
CD-knowledge also improved significantly over time. However, this outcome was not significantly correlated with parent-sibling communication and adding communication did not improve model fit for CD-knowledge trajectories. This lack of association between CD-knowledge and communication may be due to the fact that the focus in SIBS was not to teach the parents how to provide accurate information and explanations about the CD, rather it was to strengthen parents’ awareness on siblings’ thoughts and perceptions of CD-related topics and to enable them to relate to these in an explorative and supportive manner.
It is important to note that although we found significant changes in all sibling-reported outcome variables from baseline to post intervention, effect sizes were all small or moderate. However, initial self-reports of mental health symptoms were low and rarely within the borderline or clinical range, and baseline reports of parent-sibling communication reflected that the quality of communication in these families was perceived as good before joining SIBS. Hence, the potential for change was limited and large effect sizes were not to be expected.
In this study, the mean scores on sibling- and parent-reported SDQ at baseline were similar to previous sibling studies (e.g., Giallo et al. 2012; Taylor et al. 2001), showing that siblings tend to be within the upper limits of the normative range. Mean baseline scores on sibling adaption to the CD and CD-knowledge were also similar to the reports of previous sibling studies (Lobato and Kao 2002, 2005; Lobato et al. 2005). PCCS has, to the best of our knowledge, previously not been applied in sibling studies. Previous intervention trials for siblings have been criticized for not applying explicit inclusion/exclusion criteria for siblings (Tudor and Lerner 2015). Yet, as there is still a lack of consensus on the specific factors that may identify siblings at risk (Tudor and Lerner 2015), we considered it premature to incorporate other selection criteria for study inclusion at this stage. A previous sibling intervention study utilizing SDQ found change in parent-reported scores to be predicted by participants’ initial status (Roberts et al. 2016). Hence, the implication of baseline scores for intervention effects requires more investigation and further research is needed to identify factors associated with siblings and families representing elevated problem levels and that may be in particular need of services (Roberts et al. 2016).
We revealed large variability in baseline levels on selected outcome measures in this study, which implies that siblings as next of kin represent a heterogeneous group. Investigating predictors for the observed variance in baseline levels across measures could also provide important knowledge about mediating factors of risk in siblings, and, correspondingly, should be further examined within a rigorously controlled design. Future studies need to disentangle if sibling interventions are optimally delivered as treatment, i.e., for siblings with symptoms in the clinical range, as indicated prevention, i.e., for siblings with borderline clinical symptom levels, or as universal prevention, i.e., for all siblings. Based on our findings regarding levels of mental health problems, and those of others (e.g., Vermaes et al. 2012), indicated prevention may be the level of intervention that optimally fits the target group. In the continuation of the development and implementation of SIBS, it will be an important task to specify selection criteria that are based on the current knowledge on documented risk factors in siblings, to enhance the probability that siblings most in need of services and that most likely will benefit from the intervention are reached.

Limitations

The present study has limitations. The main limitation is the lack of a controlled design. Furthermore, the sample was heterogeneous in terms of type of CD and we did not assess severity criteria of the CDs. We included siblings with a wide age range and our sample comprised mainly parents with high socio-economic status. Future evaluation trials of the intervention should strive for more diversity in participating families in terms of socio-economic status and ethnicity. SIBS was carried out during family courses at a national specialist center or a camp setting, and although sharing some common features, all these settings included variability in timeframe, staff, physical location, number of participants as well as program and leisure content apart from SIBS that may have impacted the outcome measures trajectories. Although our examination of nesting of data at intervention level did not yield any significant intraclass correlations, a study within a controlled design is necessary to limit the impact of such confounding variables. Furthermore, while the inclusion of follow-up assessments represents a strength of the present study, this longitudinal design also led to a drop in respondents from baseline due to missing data. As families of children with CDs represent families living under continuous strain, recruitment for time-demanding longitudinal research remains a challenge for the field.

Conclusion

The outcome data from this first trial of SIBS are encouraging, in that we found significant improvement over time in sibling-reported parent-sibling communication, emotional and behavioral functioning and adaptation to the CD, as well as in CD-knowledge. In addition, perceived quality of parent-sibling communication seemed to partly account for improvement in sibling-reported mental health symptoms. Measures of participant satisfaction indicated high approval of SIBS among participants. Our findings suggest that parent-sibling communication may be central to siblings’ mental health and that siblings may benefit from interventions directed at the parent-sibling dyad, focusing on strengthening parent-sibling communication and empowering parents in their provision of emotional and informational support to siblings.

Acknowledgements

Open Access funding provided by University of Oslo (incl Oslo University Hospital).

Author Contributions

Y.B.H. designed and executed the study, completed data analyses, and wrote the paper. N.O.C. analyzed the data and wrote part of the results. K.W.F. designed and executed the study, assisted with the data analyses, and collaborated in the writing and editing of the final manuscript. W.K.S. contributed to designing the study and collaborated in the writing and editing of the final manuscript. S.M. designed and executed the study and collaborated in the editing of the final manuscript. T.M.V. designed and executed the study and collaborated in the writing and editing of the final manuscript. All authors read and approved the final manuscript.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethics Approval

All procedures performed were in accordance with the ethical standards of the Regional Committees for Medical and Health Research Ethics (reference number 2011/2514) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent

Written informed consent was obtained from the parents and oral consent was obtained from the children.
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Appendix

Table 6
Table 6
Correlation coefficients (Pearsons r) of outcome variables across T1-T3
 
Parent-sibling communication
Emotional and behavioral problems
Adaptation to CD
CD-knowledge
 
PCCSc T1
PCCSc T2
PCCSc T3
SDQ-S T1
SDQ-S T2
SDQ-S T3
SDQ-P T1
SDQ-P T2
SDQ-P T3
NAS T1
NAS T2
NAS T3
SKI T1
SKI T2
SKI T3
Parent-sibling communication
 PCCSc T1
0.59**
0.58**
−0.18
−0.18
−0.11
−0.07/−0.07
−0.09/−0.17
0.01/−0.31*
−0.12
−0.20
−0.20
−0.03
0.02
0.07
 PCCSc T2
0.76**
−0.13
−0.27*
−0.19
−0.13/−0.17
−0.03/−0.05
−0.22/−0.33*
−0.13
−0.31**
−0.14
−0.15
−0.06
0.01
 PCCSc T3
−0.24
−0.32*
−0.20
−0.02/−0.08
0.01/−0.05
−0.06/−0.38**
−0.22
−0.34*
−0.28*
−0.12
0.14
−0.04
Emotional and behavioral problems
 SDQ-S T1
0.72**
0.73**
0.39**/0.60**
0.42**/0.53**
0.34*/0.61**
0.51**
0.55**
0.46**
−0.10
−0.21
−0.01
 SDQ-S T2
0.76**
0.48**/0.61**
0.39**/0.33**
0.51**/0.74**
0.29*
0.45**
0.27*
0.06
−0.03
0.09
 SDQ-S T3
0.34*/0.52**
0.15/0.18
0.61**/0.57**
0.43**
0.44**
0.42**
−0.04
−0.16
−0.12
 SDQ-P T1
0.56**/0.49**
0.56**/0.70**
0.15/0.38**
0.33**/0.46**
0.19/0.36*
0.11/0.03
−0.05/0.10
−0.12/0.18
 SDQ-P T2
0.46**/0.41**
0.22/0.19
0.38**/0.28*
0.37**/0.23
0.09/−0.10
0.08/−0.12
0.14/0.12
 SDQ-P T3
0.43**/0.25
0.51**/0.41**
0.50**/0.24
0.17/−0.14
0.06/0.02
−0.03/0.04
Adaptation to CD
 NAS T1
     
0.75**
0.79**
−0.13
−0.06
−0.09
 NAS T2
     
0.81**
−0.12
−0.08
−0.07
 NAS T3
     
−0.15
−0.11
0.11
CD-knowledge
 SKI T1
     
0.58**
0.52**
 SKI T2
     
0.59**
 SKI T3
     
PCCSc parent-child communication scale; child version: parent communication subscale (sibling report), SDQ-S strength and difficulties questionnaire, sibling self-report, SDQ-P strength and difficulties questionnaire, parent report, i.e. mother report/father report, NAS negative adjustment scale, SKI sibling knowledge interview
*Correlation is significant at the 0.05 level (2-tailed); **Correlation is significant at the 0.01 level (2-tailed)
Table 7
Table 7
Growth curve models of secondary outcome variable SDQ-P across T1-T3
 
Model 1b
Model 2b
Model 3b
Model 4b
 
Est.
95% CI
Est.
95% CI
Est.
95% CI
Est.
95% CI
Emotional and behavioral problems
Mother report (SDQ-P)
 Fixed effects
  Intercept
8.63**
(7.52, 9.74)
9.11**
(7.81, 10.40)
9.56**
(4.64, 14.47)
7.47
(−0.17, 15.10)
  Slope
   
−0.68
(−1.41, 0.06)
−0.66
(−1.42, 0.10)
−0.65
(−1.41, 0.11)
  Parent-sibling communication (PCCSc)
       
−0.11
(−1.32, 1.09)
−0.17
(−1.38, 1.04)
  Sibling age
           
0.17
(−0.34, 0.67)
  Sibling gender a
           
0.79
(−1.31, 2.89)
 Model fit
  AIC
1365.218
 
1362.923
 
1364.894
 
1367.776
 
Father report (SDQ-P)
 Fixed effects
  Intercept
8.69**
(7.59, 9.79)
9.33**
(8.03, 10.62)
12.92**
(7.82, 18.03)
16.04**
(8.23, 23.84)
  Slope
   
−0.88*
(−1.65, −0.11)
−0.75
(−1.54, 0.05)
−0.75
(−1.54, 0.04)
  Parent-sibling communication (PCCSc)
       
−0.91
(−2.16, 0.34)
−1.07
(−2.30, 0.17)
  Sibling age
           
−0.28
(−0.78, 0.23)
  Sibling gender a
           
1.46
(−0.62, 3.54)
 Model fit
  AIC
1281.701
 
1272.836
 
1273.398
 
1274.709
 
Results of growth curve modeling. Estimates (Est.) and 95% confidence intervals (CI) with lower and upper bound
SDQ-P strengths and difficulties questionnaire, parent report, PCCSc parent-child communication scale, child version (parent communication subscale), AIC Akaike information criterion
* p < 0.05; ** p < 0.001
aEffect of being a boy
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