Figures
Abstract
Background
Disorganised attachment patterns in infants have been linked to later psychopathology. Services have variable practices for identifying and providing interventions for families of children with disorganised attachment patterns, which is the attachment pattern leading to most future psychopathology. Several recent government reports have highlighted the need for better parenting interventions in at risk groups.
Objectives
The objective of this review and meta-analysis was to evaluate the clinical effectiveness of available parenting interventions for families of children at high risk of developing, or already showing, a disorganised pattern of attachment.
Methods
Population: Studies were included if they involved parents or caregivers of young children with a mean age under 13 years who had a disorganised classification of attachment or were identified as at high risk of developing such problems.
Included interventions were aimed at parents or caregivers (e.g. foster carers) seeking to improve attachment.
Comparators included an alternative intervention, an attention control, treatment as usual or no intervention.
The primary outcome was a disorganised pattern in childhood measured using a validated attachment instrument.
Studies that did not use a true Randomised Controlled Trial (RCT) design were excluded from the review. Both published and unpublished papers were included, there were no restrictions on years since publication and foreign language papers were included where translation services could be accessed within necessary timescales.
Results
A comprehensive search of relevant databases yielded 15,298 papers. This paper reports a systematic review as part of an NIHR HTA study identifying studies pre-2012, updated to include all papers to October 2016. Two independent reviewers undertook two stage screening and data extraction of the included studies at all stages. A Cochrane quality assessment was carried out to assess the risk of bias. In total, fourteen studies were included in the review. In a meta-analysis of these fourteen studies the interventions saw less disorganised attachment at outcome compared to the control (OR = 0.50, (0.32, 0.77), p = 0.008). The majority of the interventions targeted maternal sensitivity. We carried out exploratory analyses to examine factors that may influence treatment outcome but these should be treated with caution given that we were limited by small numbers of studies.
Citation: Wright B, Hackney L, Hughes E, Barry M, Glaser D, Prior V, et al. (2017) Decreasing rates of disorganised attachment in infants and young children, who are at risk of developing, or who already have disorganised attachment. A systematic review and meta-analysis of early parenting interventions. PLoS ONE 12(7): e0180858. https://doi.org/10.1371/journal.pone.0180858
Editor: Jacobus P. van Wouwe, TNO, NETHERLANDS
Received: April 19, 2016; Accepted: June 22, 2017; Published: July 14, 2017
Copyright: © 2017 Wright et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: This project was funded by the National Institute for Health Research, HTA (project number 10/45/04).
Competing interests: The authors have declared that no competing interests exist.
Introduction
Attachment patterns are measured in infancy using a standardised assessment called the Strange Situation Procedure [1]. This is described extensively elsewhere [1,2] and involves a set procedure assessing infant responses under stress in the presence of an adult not known to them and including the departure and return of the caregiver. Trained observer classifications include secure and insecure (organised) classifications of attachment [1]. Disorganised attachment [2] has been identified as a lack of a co-ordinated response by the child. Research to date suggests that a disorganised attachment pattern in infancy is related to the highest risk of poor outcomes across the lifespan. In childhood, a disorganised attachment pattern has been suggested to be predictive of poorer social functioning [3], poor peer relationships [4], poor school attendance, conduct disorder and academic under achievement [5]. A systematic review and meta-analysis conducted by Van IJzendoorn and Bakermans-Kranenburg (1999) [6] showed an association between disorganised infant attachment and childhood behaviour problems from 12 studies with an overall effect size of r = 0.29. A selective review by Green and Goldwyn (2002)[7] found disorganised attachment to be linked with externalising and internalising problems in early school years [8–10] and aggression and oppositional defiant disorder [11]. In middle childhood, a shift has been found from an earlier disorganised pattern of attachment to controlling, punitive or caregiving behaviour [12].
The Minnesota study of Risk and Adaptation from Birth to Adulthood [13] examined the relationship between disorganised infant attachment and long term mental health outcomes. From this study Carlson (1998) [14] suggested that disorganised attachment was significantly correlated with overall history of psychopathology at age 17 and dissociative episodes at age 19. In a later study within the same sample Carlson and colleagues [15] showed that disorganised attachment was significantly correlated with borderline personality symptoms at age 28.
Much has been written about the antecedents of disorganised attachment, summarised by Lyons-Ruth & Jacobvitz (2008) [12]. In particular two aspects of maternal behaviour have been found to be associated with disorganised attachment. They are maternal frightened or frightening behaviour and maternal disrupted communication during times of infant distress and fearful arousal [16], which includes negative-intrusive behaviour, role confusion, withdrawal, affective contradictory communicative errors, and disorientation. Interestingly, there is less clarity about the role of insensitive parenting in the development of disorganised attachment.
In practice, attachment interventions typically take the form of enhancing parental skills. The majority of parental interventions focus on improving parental sensitivity; developing skills that enable parents to understand their baby’s signals and tune to their infant’s cues consistently, especially when the infant is distressed. This in turn, is intended to enhance infant attachment security. There have been two important meta-analyses that have examined the effectiveness of parental interventions in improving infant attachment. Bakermans-Kranenburg, Van IJzendoorn and Juffer (2003) [17] found that the included interventions significantly improved attachment security, but the effect size was small (d = 0.20). They did not examine the effect of the interventions on disorganised attachment. In a later review, Bakermans-Kraneburg and colleagues [18] did assess the effect of parental interventions on disorganised attachment. Fifteen interventions (from 10 studies) were included in the meta-analysis, which showed no improvement in disorganised patterns as a result of the interventions. This important review and meta-analysis included studies that were not true RCTs as they did not evidence that group allocation of the full sample was made purely by chance [19–23] or did not analyse the effect of interventions on disorganised attachment [24] or they merged the disorganised classification with another classification group [25]. Bakermans-Kranenburg, Van IJzendoorn and Juffer (2003) [17] reported that none of the included studies in their meta-analysis had conducted an intervention specifically aimed at preventing or reducing a disorganised attachment pattern.
Given the strong association between disorganised attachment and subsequent psychopathology, we wanted to systematically review parental interventions delivered to caregivers of children who had, or were at risk of developing, disorganised attachment, examining studies that measured disorganised attachment as an outcome to compare against those with an organised attachment pattern. We chose to examine the highest level of evidence and therefore only included papers that used a randomised controlled trial (RCT) study design. We sought to examine the clinical effectiveness of these interventions.
The present review comes from an NIHR funded systematic review taking the review to 2012, with an update to October 2016.
Method
Population, Intervention, Comparison, Outcome, Study Design (PICOS) criteria
The PICOS criteria were as follows:
- Studies were included if they involved parents or caregivers of young children under 13 years who had a disorganised classification of attachment or were identified as at high risk of developing such problems. Included interventions were aimed at parents or caregivers, including foster carers.
- Interventions were excluded if aimed at teachers or teaching assistants (without parents or caregivers) or those not focused at a parental level, but were included if involving parents and teachers.
- Comparators could include no intervention, an alternative intervention, an attention control or treatment as usual.
- The primary aim of the attachment tool had to focus on the measurement of the child’s attachment pattern to the caregiver with the ability to measure a disorganised pattern in childhood.
- Studies that did not use a true RCT design were excluded from the review. Both published and unpublished papers were included, there were no restrictions on years since publication and foreign language papers were included where translation services could be accessed within necessary timescales.
Search strategy
A search strategy was developed to capture the patient group of children with ‘severe attachment problems’ and the interventions of interest, according to the guidelines for exhaustive searching prepared by the Centre for Reviews and Dissemination (CRD) and the Cochrane Collaboration [26]. The database searches were conducted in January 2012 (Supporting Information 1: Wright et al., 2015 [27] for full details of the databases searched and terms used). For the update of this review, the same search strategies were used. These database searches were conducted in October 2016 and identified papers published after 2011.
The following databases were searched:
- PsycINFO
- MEDLINE and MEDLINE In-Process
- EMBASE
- Social Policy & Practice
- Science Citation Index (SCI)
- Social Science Citation Index (SSCI)
- Conference Proceedings Citation Index- Science (CPCI-S)
- Conference Proceedings Citation Index- Social Science & Humanities (CPCI-SSH)
- ERIC (Educational Resources Information Center)
- Social Services Abstracts
- Applied Social Sciences Index and Abstracts (ASSIA)
- Cochrane Database of Systematic Reviews (CDSR)
- Database of Abstracts of reviews of Effects (DARE)
- Cochrane Central Register of Controlled Trials (CENTRAL)
- Health Technology Assessment (HTA) database
- NHS Economic Evaluation Database (NHS EED)
- Campbell Library
- Health Economic Evaluations Database (HEED)
- Social Care Online
- Research Register for Social Care
- Index to Theses
- OAIster
- OpenGrey
- Zetoc
- ClinicalTrials.gov
- metaRegister of Controlled Trials (mRCT)
- WHO International Clinical Trials Registry Platform (ICTRP)
- UK Clinical Research Network (UKCRN)
- HSRProj (Health Services Research Projects in Progress)
The following organisation websites were also searched:
- American Psychiatric Association (http://www.psych.org/)
- Association Child and Adolescent Mental Health (http://www.acamh.org.uk/)
- Mental Health Foundation (http://www.mentalhealth.org.uk/)
- MIND (http://www.mind.org.uk/)
- Royal College of Psychiatrists (http://www.rcpsych.ac.uk/)
- National Collaborating Centre for Mental Health (NCCMH) (http://www.nccmh.org.uk/)
- National Institute of Mental Health (NIMH) (http://www.nimh.nih.gov/index.shtml)
- Institute for Attachment & Child Development (http://www.instituteforattachment.org/)
- Association for Treatment and Training in the Attachment of Children (http://www.attach.org/)
- YoungMinds (http://www.youngminds.org.uk/)
- British Association for Adoption and Fostering (www.baaf.org.uk/)
Data collection
In the initial screening phase, titles and abstracts were dual screened and included in the next screening phase if they met the criteria described in detail in Wright et al., 2015 [27]. The reference lists of papers that were included in the initial screen were manually checked, to ensure all studies were identified. Attachment systematic reviews and meta-analyses were checked for additional papers and authors were contacted to clarify details and provided additional studies that were unpublished or ongoing. In a second screening phase, full papers of the resulting identified literature were obtained and reviewed independently, according to the criteria for this review, with disagreements discussed and resolved between reviewers with the assistance of a third reviewer when required. For those papers meeting the criteria for the review, full data extraction was conducted by two independent reviewers, see the Health Technologies Assessment online report for full details [27].
The same process was followed as closely as possible for the update of the review. In the initial phase, titles and abstracts were split into four and screened individually by four reviewers. References from books, reviews and papers included from the first sift were manually checked, and any relevant studies were brought through. This includes one paper published prior to 2011 [28] that was discovered that met all inclusion criteria. For the second phase, papers were dual screened and those that met the PICOS criteria were included for data extraction, which was carried out by three reviewers. Disagreements at any stage of the process were discussed and resolved between all reviewers.
Child attachment classifications were extracted from intervention and control groups as the primary outcome for the meta-analysis. Information was collected on demography (including the age of parent and child), ethnicity and the risk (of severe attachment problems) characteristics of the sample. Information was extracted regarding who was involved in the intervention; whether it was delivered to the parent alone, parent and child dyads or a mixture of the two; whether the intervention was for foster carers, and whether a male caregiver was involved. Papers were recorded as having male caregiver involvement if they reported having at least one male caregiver participating. Intervention characteristics were also extracted, including the aim or focus of the intervention, the number of sessions and length of time it ran for, where it was delivered, by whom it was delivered, the care or alternative treatment received by the comparison group and the length of time participants were followed up for.
Meta-analysis
For the meta-analysis, the research team explored disorganised attachment as measured by the Strange Situation Procedure [1–2]. Data were extracted on the numbers of patients experiencing the outcome for each group. The odds ratio (OR) and 95% confidence interval (CI) were calculated for each study outcome. The ORs were pooled using a fixed-effect model or random effects model [the Mantel–Haenszel (M–H) method] and the corresponding 95% CIs were calculated. Where the analysis indicated significant heterogeneity a random effects model was chosen, otherwise a fixed effects model was applied. Statistical heterogeneity was assessed using the Cochran’s Q test. The Cochran’s Q tests the presence versus the absence of heterogeneity and the p value is stated. The I2 index describes the percentage of variation across studies that is due to heterogeneity rather than chance. Interpretation is as follows: 0% to 40%: might not be important; 30% to 60%: may represent moderate heterogeneity*; 50% to 90%: may represent substantial heterogeneity*; 75% to 100%: considerable heterogeneity. (*The importance of the observed value of I2 depends on (i) magnitude and direction of effects and (ii) strength of evidence for heterogeneity (e.g. P value from the chi-squared test, or a confidence interval for I2)[29]. A funnel plot was used to test for publication bias. Cohen’s d effect sizes were calculated [30] to make comparisons to previous meta-analyses on attachment interventions.
Exploratory analyses
Exploratory analyses were conducted to explore treatment factors. Due to the small number of included studies, these analyses are purely exploratory, intended to guide future research, rather than make claims about the effectiveness of intervention components. Features of the intervention were explored through three analyses including number of sessions (based on previous meta-analysis research for comparison [22]), whether video feedback was used, and whether maternal sensitivity was the main focus. Participant related factors were explored through four analyses including age of the child at the start of the intervention, whether partner (usually male) caregivers were involved, foster carer studies and whether the intervention was with caregiver alone or together with their child. The length of follow-up as a research design feature was also explored through an analysis. A sensitivity analysis was performed excluding the two studies [31, 32] which had active intervention in the control group. All analyses were undertaken on Review Manager 5.3.
Quality assessment
The quality assessment was conducted with the ‘risk of bias’ assessment for RCTs using the criteria recommended by the Cochrane Handbook [26]. The recommended approach for assessing risk of bias in studies included in the Cochrane Review is a two-part tool, addressing six specific domains including:
- Sequence generation and allocation concealment (selection bias)
- Blinding of participants and providers (performance bias)
- Blinding of outcome assessor (detection bias)
- Incomplete outcome data (attrition bias)
- Selective outcome reporting (reporting bias)
- Other sources of bias.
Two independent reviewers assigned a rating of high or low bias for all included papers, under the six domains. A rating of unclear was assigned where there was insufficient information to judge the level of bias. Any disagreements were resolved by arbitration and a third party when required. The same process was followed for the update, where three independent reviewers conducted the quality assessment.
Results
The initial database searches identified 15,621 records for the three reviews. After the records were de-duplicated, this left 10,167 records for the initial screening of title and abstract for the three reviews. Of these, 445 met first-sift inclusion criteria for this review, including 21 that were identified through other sources. These papers were fully screened and eight of these studies met the final inclusion criteria. An additional four were not included in the meta-analysis but discussed included interventions with the same sample so any additional information about trial design was included in the quality assessment.
The update of the main review identified a further 5,222 records. After these were de-duplicated, this left 5,131 records for initial screening. 230 of these met the criteria for the first sift, including five identified through other sources. After fully screening these papers for inclusion criteria, seven were included in the final meta-analysis. These were then combined with the studies included from the initial review and are reported in S1 Fig.
Study characteristics
Table 1 shows the fourteen intervention studies that met the criteria. All the studies were conducted by authors affiliated with Western universities; five from USA [28 & 31–34], two from Canada [35, 36], four from UK [37–40], one from the Netherlands [41], one from France [42] and one from Australia [43]. Five studies had a majority white or Caucasian ethnicity [34, 35, 38, 39, 41]. The remainder had reported majority ethnicity of 61% African American [31], 43% African American [32], 45% Latino [33], 74% minority race [28] and 48.6% 1st generation immigrants to France [42]. Two studies did not specify ethnicity [40, 43]. One intervention was delivered in South African shanty towns [37]. Sample sizes ranged from 43 [43] to 449 [37] and included 1816 children in total. The age of the child at the beginning of the intervention ranged from neonatal [33] to a mean age of 3.35 years [36]. The parents mean age ranged from 18 [35] to 35.5 years [43]. The majority of interventions were delivered to mothers and their infants or young children, with just three involving male caregivers as well [31, 33, 43]. We found no RCTs with gay couples.
Interventions were delivered to families that were at higher risk of disorganised infant attachment for various reasons comprising risk of maltreatment or child protection issues [31, 36], parental mental health problems [34, 38–40] and adolescent mothers [35]. One sample were at risk due to infant sleep difficulties [43]. Six samples were at risk due to social and economic deprivation [32, 33, 37, 41, 42, 44] and two of these samples had irritable infants, in addition [32, 41].
The included studies shared some similarities in the focus of the intervention. With the exception of two studies [33, 43] all of the interventions targeted aspects of maternal sensitivity. Several studies were based wholly on maternal sensitivity at a behavioural level, understanding the baby’s signals and responding to the baby’s cues [35–37, 38, 41, 42]. Three interventions [32, 39, 40] approached maternal sensitivity in the same way but with an extra element which explored and sought to address psychological factors that interfered with the mother’s capacity to respond sensitively. The Attachment and Biobehavioural Catch-up (ABC) intervention [31] helped parents to reinterpret their infant’s behaviour, be aware of and override their own issues, and create an environment that enhanced the child’s capacities. The Toddler Parent Psychotherapy (TPP) [34] and Infant Parent Psychotherapy (IPP) [28] interventions approached maternal sensitivity at the representational level, addressing mothers’ unresolved pasts through dyadic conjoint therapy sessions. Heinicke and colleagues’ (1999) [33] intervention focused on enhancing maternal communication with their infant, rather than sensitivity. However they did engage with parents’ personal adaptation, which sometimes involved resolution of internal conflict, and alternative relationships with the child, using a family systems approach. Gradisar and colleagues (2016) [43] focused on improving infant sleep for those whose parents had identified as having a sleep problem. Child-parent attachment was a secondary outcome. Half of the studies addressed the antecedents of disorganised attachment [28, 31, 34, 38, 39, 40, 42].
Most of the studies used video recording to assist in the coding of attachment styles, however these were not always used to provide participants with feedback. Some of the studies used video feedback to facilitate maternal sensitivity. Three chose to utilise the technique in every session, which equalled eight sessions in two interventions [35, 36] but just four sessions in another intervention [32]. One intervention [31] used video feedback in six of their ten sessions, another [42] used it only once, while the remainder did not use it at all. The interventions were delivered in the participant’s home, or a combination of home and clinic visits [38, 28], the only exceptions being Toth and colleagues (2006) [34], where the location of the Toddler Child Psychotherapy was not specified. Heinicke and colleagues (1999) [33] offered referrals to community services after their main intervention in addition to the course of home visits. For most interventions, visits were weekly, lasting 60–90 minutes, although van den Boom (1995) [41] scheduled more intensive sessions (two hours) but less frequently (every three weeks). One intervention was delivered over a period of only 2 weeks [39], however several interventions lasted 2–3 months [31, 32, 36, 41] while others lasted slightly longer, approximately four to five months [35, 37, 40] up to eleven months [42]. Four of the interventions were much longer in length, lasting 12–24 months [28, 33, 34, 38]. Most of the interventions were delivered by professionals, with the exception of one study which was delivered by lay community workers in South Africa [37], and one study where the intervention was implemented by parents in the home [43].
Most of the interventions were compared against a control group that received care as usual but control group participants in two studies [31–32] received an alternative intervention that was similar in intensity and duration but differed in focus so that intervention effects could be attributed to the content of the intervention. Comparison interventions in these two studies were psychoeducational in focus; addressing topics typically of concern to new parents [32] or the child’s cognitive and linguistic development [31]. The control group in Cooper and colleagues study (2009) [37] and Cichetti and colleagues (2006) [28] study may also have received or had access to more care than usual but less information was provided.
The included studies all used the Strange Situation Procedure [1–2] to measure disorganised attachment. However, the sample in the study by Moss (2011) [36] had a large age range, so the infants aged 12–24 months in the post intervention follow-up were seen in the Strange Situation, but the older children (aged 2–6 years) were seen in the Preschool Separation-Reunion Procedure [45], chosen for its conceptual and technical similarities to the SSP, with the differences allowing for age-related developmental changes [35]. The three studies that started the intervention when the child was over 12 months of age assessed disorganised attachment pre and post intervention [28, 34–35].
Meta-analysis
The funnel plot (S2 Fig) showed that distribution was roughly symmetrical, indicating that publication bias was not likely to be present.
The main meta-analysis from the 14 included studies (S3 Fig) showed a significant benefit from treatment (OR = 0.50, (0.32, 0.77), p = 0.008). All but two of the included studies showed a trend towards a decrease in the number of children with a disorganised attachment pattern, with the odds ratios ranged from 0.18 to 0.97 and the effect sizes varied from large effects (0.95) [28, 42] and (0.92) [35] to very small effect sizes (0.02) [33] and 0.07 [31] with the others having a medium or large effect [46]. The two studies which showed an increase in disorganised attachment had odds ratios of 2.50 [40] and 2.39 [38], as shown in Table 2.
Exploratory analyses
Table 3 shows the meta-analysis findings with odds ratios and Cohen’s d effect sizes for the exploratory analyses. The p-values for comparing subgroups are displayed, along with the analysis within each subgroup. We have not reported statistical meta-analyses comparisons where there is only one study in a comparison group, for example location, foster carer studies, the main therapeutic intent such as maternal sensitivity, the people involved in the sessions such as caregiver alone or together with child and the length of follow-up.
Features of the intervention
Meta-analyses are reported for two subgroups comparing features of the intervention; number of sessions, and video feedback. Overall, there was statistical significance (p = 0.03) in disorganised attachment when the interventions were split by the number of sessions (<5, 5–15, >16), showing less disorganised attachment at outcome. For the four studies that had interventions lasting 1–4 sessions [32, 39, 41, 43], the analysis revealed a non-significant odds ratio of 0.79 (95% CI: 0.40, 1.55, p = 0.49). Similarly the five studies that had interventions of 5–15 sessions [31, 35–37, 40], the analysis revealed a non-significant odds ratio of 0.63 (95% CI: 0.30, 1.31, p = 0.22). The five studies that had more than 16 sessions [28, 33–34, 38, 42], there was a significant odds ratio of 0.27 (95% CI: 0.16, 0.45, p<0.001). There are no direct comparisons randomising between short and long interventions in terms of number of sessions and so limited conclusions can be drawn from this. Less than half of the interventions used video feedback [31, 32, 35, 36, 42] with no statistically significant difference between those that did use video feedback and those that did not p = 0.97. No study directly compared treatment with or without video feedback although in both groups of the exploratory analysis there were statistically significant odds ratios, with the intervention having less disorganised attachment at outcome compared to the control.
Features of the participants
Meta-analyses are reported for two subgroups that compare features of the intervention participants; age of the child and male caregiver involvement. In the six studies that delivered the intervention after the child was at least six months of age [28, 32, 34, 36, 39, 43], the analysis shows some promising findings, with the intervention showing less disorganised attachment at outcome compared to the control (OR = 0.32 (95%CI: 0.15, 0.68, p = 0.003). In the analysis on the four papers that delivered or started the intervention prenatally [33, 37, 40, 42], and in the three studies that delivered the intervention before the child was six months of age [35, 38, 41], there was no statistically significant difference in disorganised attachment between the intervention and control (p = 0.37, p = 0.72). There was no statistically significant difference in disorganised attachment between the three studies that reported male caregiver involvement [31, 33, 43] and the eleven studies that did not involve male caregivers [28, 32, 34–42] (p = 0.83) but again no study made a direct comparison.
Quality assessment
Table 4 displays the results of the Cochrane quality assessment for intervention studies that examined disorganised attachment. Where authors published more than one paper on the intervention with the same sample, additional papers were reviewed and accounted for in the quality assessment but not included in the meta-analysis [44, 47–50]. These papers are presented with the included studies in Table 4. The Cochrane assessment tool illustrated variability in bias between studies. Three domains were consistently rated as high bias across the included studies. These were incomplete outcome data, selective reporting and ‘other’ bias. Incomplete outcome reporting was often rated as high bias because attrition was over 10% across the course of the trial. The reason for the selective reporting item predominantly receiving a rating of high bias across the studies was poor reporting of the secondary outcomes within the studies and lack of an available study protocol. Many of the studies received a rating of high in ‘other bias concerns’. There were various reasons for this including unexplained attrition, unexplained missing data, small sample size/low power and inconsistencies within the data.
A rating of unclear was given where the authors’ descriptions were not sufficient to rate the relevant information. This was most apparent in the random sequence and the method of allocation concealment categories. Blinding was conducted to some extent in thirteen of the studies [28, 31–34, 36–44, 47–50]. The mixed presentation of trial quality across the review suggests that any conclusions should be interpreted with caution.
Sensitivity analysis.
A sensitivity analysis was performed excluding the two studies [31, 32] comparing with an active intervention, shown in S4 Fig. There remained to be a significant benefit from treatment (OR = 0.50, (0.29, 0.85), p = 0.01).
Whilst subgroup analysis should be treated with caution because data are combined and there is no direct comparison, we report them here for completion. When excluding studies compared with an active intervention, there remained to be no statistical significance in disorganised attachment when the interventions were split by the number of sessions (p = 0.06), between those that did use video feedback and those that did not (p = 0.65) or whether or not there was male caregiver involvement (p = 0.60). There was a statistically significant difference for age of child (p = 0.007). In the five studies that delivered the intervention after the child was at least six months of age [28, 34, 36, 39, 43], the analysis shows the intervention showing less disorganised attachment at outcome compared to the control OR = 0.22 (95%CI: 0.12, 0.42, p<0.001). As shown above, in the analysis that delivered or started the intervention prenatally and before the child was six months of age, there was no statistically significant difference in disorganised attachment between the intervention and control.
Discussion
The main finding, based on fourteen studies, showed that parental interventions significantly decreased disorganised attachment with a medium effect size (d = 0.38), as shown in Table 2. The studies varied in the strength of their positive intervention effect. Some interventions had little effect on disorganised attachment [32, 33, 35, 37–39, 40, 41, 43]. Five of the studies made a significant difference to disorganised attachment, with a medium [31, 42] or large effect [28, 34, 36]. Two studies [40, 43] showed decreased levels of disorganised attachment in the control condition groups, although these findings were non-significant. The overall finding is interesting given that the previous published meta-analysis [18] produced an overall non-significant effect on disorganised attachment with an effect size of d = 0.05. In contrast to the earlier review, a higher proportion of included interventions in our review were effective in decreasing rates of disorganised attachment. Additionally there were no interventions that had a significantly negative effect on disorganised attachment. The disparity with the earlier review [18] is worthy of further discussion.
Despite some similarities in the inclusion criteria, only two studies were included in both reviews [33, 41]. The present review included only true RCT’s; where the full sample was randomly allocated to the intervention or control group. Several studies reported in the earlier review [18] did not meet this criterion. They may have, for instance, randomly assigned part of the sample but allocated a portion of the sample based on therapist time and availability [19] or not reported using random allocation [22]. Furthermore, several recent high quality studies have been included in the present review that were published after the 2005 review. The difference in findings could indicate that attachment intervention studies are using more rigorous trial design and becoming more effective in reducing rates of disorganised attachment.
The impact of this research is therefore important, both in identifying the need for robust high quality methodologies in the field, but also in showing that interventions can improve disorganized attachment in infants.
Previous meta-analyses on parental attachment interventions and attachment insecurity [17, 51] combined the A, C and D (insecure and disorganised classifications) to compare against the B (secure) classification and found only weak intervention effect sizes for improvement in attachment security. They suggested that the least intensive interventions, with fewer than five sessions, were significantly more effective at increasing attachment security than interventions with a higher number of sessions. They concluded that short, focused interventions seemed more effective in improving attachment insecurity and showed that in some cases highly intensive interventions appeared to have a detrimental effect. Interestingly, our current analysis suggests that the “less is more” case put forward by [17] for improving attachment security does not appear to extend to disorganised attachment. In our exploratory work we found that interventions with fewer than 15 sessions did not statistically improve disorganised attachment when compared to the control group, yet interventions with more than 16 sessions did. This is different from the findings of the review by Juffer and colleagues [22]. The groups were small in this sub-group analysis, and so the findings should be treated with caution, with more research necessary to elucidate this further.
Video feedback is commonly used in interventions with a primary focus on maternal sensitivity. It allows the parent to review their own infant’s cues and needs, and reflect on their response to them. Previous research showed mixed results on the value of video feedback in improving insecure attachment. The early review by Van IJzendoorn and Juffer (1995) [51] found strategies such as video feedback to be more successful than therapeutic work alone, at least in the short-term. The later review by Bakermans-Kranenburg, Van IJzendoorn and Juffer (2003) [17], however, found that interventions were more effective when they did not use video feedback. The present review showed that interventions were more effective than a control, whether or not they made use of this technique.
Our exploratory analysis found limited evidence of the benefit of interventions that started when the infant was under six months. The reasons for this are not clear and may be an artefact or may be related to the interventions included. Parents may engage less with pre-natal work because it is not in the “here and now” of mother-child interaction. Infants aged 6–12 months, where our study showed good effect sizes in an exploratory meta-analysis, are within the government guidelines for critical early intervention work within the first two years of life [52]. The finding is in line with outcomes for insecure attachment [17] and a previous review on disorganised attachment [18].
There are a number of studies of which we were aware that might have been expected to be included in a review of this nature. Some of these parental interventions that are intended to improve attachment security have not carried out yet published RCTs, but were mentioned by the research PPI or expert groups. For example, Theraplay [53], Dyadic Developmental Psychotherapy [54] and Watch, Wait and Wonder [19] were all therapies discussed in focus groups where no studies meeting PICO criteria with a RCT at the time of review were found. One finding from our review therefore is that further important research is needed using RCTs to test available interventions currently in clinical use as they may not have an evidence base. It should be noted that the absence of a known intervention in our meta-analysis is not a comment on the intervention itself, but on the presence of available evidence meeting the criteria for this systematic review.
Our criteria excluded any studies that were not focused on interventions at the caregiver/parental level. Interventions which involve a change in caregiver including, for example, adoption as an intervention [55] were excluded. Studies such as the Bucharest Early Intervention Project (BEIP) [56–57] and the English Romanian Adoptee (ERA) study [58] were therefore not included in this review.
The meta-analyses, particularly the exploratory subgroup analyses were limited by the relatively small number of studies included in the review. We considered it important to review only the highest quality evidence; however the tight inclusion criteria may have resulted in a smaller inclusion figure. The categories in the exploratory subgroup analyses therefore need to be interpreted with great caution. We present the results here for discussion and to encourage debate about which parameters to examine in future research. The most frequent reason for exclusion to this review was because studies lacked the robust methodology of an RCT design, highlighting the need for more high quality, rigorous research in this field. Some papers that were potentially relevant, based on titles and abstract, were not retrieved or processed within our timescales. Consideration should also be made of the quality assessment conducted and how this may influence the strength of the findings in this area of research. Attrition rates were high across most studies, and often went unexplained. Future studies should be clear about recruitment, randomisation and attrition and should explore mechanisms of change as well as treatment related factors carefully to inform future meta-analyses. They should also provide clearer methodological reporting such as sequence generation, allocation concealment and primary outcome measures. Overall, the meta-analysis illustrates that parenting interventions significantly decrease disorganised attachment in infants identified as at risk. Whilst variations in intervention design presents some limitations in the extent to which findings can be generalised to clinical practice, most studies focused on seeking to enhance parental attachment and sensitivity. This review presents interesting findings that have not been demonstrated by previous research.
Supporting information
S3 Fig. A meta-analysis of disorganised attachment at outcome comparing a parenting intervention and a control condition.
https://doi.org/10.1371/journal.pone.0180858.s003
(TIF)
S4 Fig. Sensitivity analysis excluding two studies with active intervention for the meta-analysis of disorganised attachment at outcome comparing a parenting intervention and a control condition.
https://doi.org/10.1371/journal.pone.0180858.s004
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S1 File. Clinical and cost effectiveness of parenting interventions for children with ‘severe attachment problems’: A systematic review and meta-analysis.
Wright, W., Barry, M., Hughes, E., Trepel, D., Ali, S., Allgar, V., Cottrill, L., Duffy, S., Fell, J., Gilbody, S., Glanville, J., Glaser, D., Hackney, L., Manea1, L., McMillan, D., Palmer, S., Prior, V., Whitton, C., Perry, A. Clinical and cost effectiveness of parenting interventions for children with ‘severe attachment problems’: A systematic review and meta-analysis. Health Technology Assessment. 2015; 19: 1–348.
https://doi.org/10.1371/journal.pone.0180858.s005
(PDF)
Acknowledgments
This paper is based on a systematic review from a HTA report with additional up to date searching. A large study team contributed to the report. We would like to thank Lucy Cottrill as the original study coordinator, Jenny Fell and Clare Whitton for contributing to writing the report, Dominic Trepel, Shehzad Ali, and Stephen Palmer for contributing the economic section of the report and Simon Gilbody for his contribution to the development of the protocol and advice as a steering group member.
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