Article Text

Download PDFPDF

Ear for recovery: protocol for a prospective study on parent–child communication and psychological recovery after paediatric injury
  1. Eva Alisic1,2,
  2. Anna Barrett1,2,
  3. Peter Bowles1,2,
  4. Franz E Babl2,3,4,
  5. Rowena Conroy5,6,7,
  6. Roderick J McClure8,
  7. Vicki Anderson5,6,7,
  8. Matthias R Mehl9
  1. 1Monash Injury Research Institute, Monash University, Melbourne, Australia
  2. 2Emergency Research, Murdoch Childrens Research Institute Melbourne, Australia
  3. 3Emergency Department, The Royal Children's Hospital, Melbourne, Australia
  4. 4Department of Paediatrics, The University of Melbourne, Melbourne, Australia
  5. 5Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia
  6. 6Child Neuropsychology, Murdoch Childrens Research Institute, Melbourne, Australia
  7. 7Psychology Service, The Royal Children's Hospital, Melbourne, Australia
  8. 8Harvard Injury Control Research Center, Harvard School of Public Health, Boston, USA
  9. 9Department of Psychology, University of Arizona, Tucson, USA
  1. Correspondence to Dr Eva Alisic; eva.alisic{at}


Introduction One in six children who have been admitted to hospital with an injury develop persistent stress symptoms that put their development at risk. Parents play a crucial role in children's psychological recovery, however, it is unknown how specific parenting behaviours can help or hinder. We aim to describe the nature and quantity of parent–child communication after a child has been injured, and to examine how these interactions are related to children's psychological recovery.

Methods and analysis We are conducting a prospective observational study among children aged 3–16 years, who have been admitted to a tertiary children's hospital with a serious injury. Data collection involves a naturalistic observation of spontaneous, everyday parent–child communication at home, shortly after discharge, and an assessment of children's psychological recovery at 6 weeks and 3 months post-injury. Main analyses comprise descriptive statistics, cluster analysis and analyses of variance.

Ethics and dissemination This study has been approved by the Human Research Ethics Committee of the Royal Children's Hospital Melbourne (33103) and Monash University Human Research Ethics Committee (CF13/2515—2013001322). We aim to disseminate the findings through international peer-reviewed journals, international conferences and social media. Participants will be sent a summary of the overall study findings.


This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See:

Statistics from

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Strengths and limitations of this study

  • Fine-grained observation of parent–child interactions in daily life after paediatric injury.

  • Attention to positive and negative predictors and outcomes.

  • Novel, unobtrusive, ecological momentary assessment method.

  • Transcription and coding of audio data is time and labour intensive.


Injuries sustained in childhood have physical and psychosocial consequences that can last for years or even throughout the lifespan.1 Stress reactions, such as nightmares, avoidance of places that remind them of the event, feelings of detachment and concentration difficulties, are common in children in the aftermath of serious injury. Winston et al2 found that 88% of children admitted to hospital with an injury after a road traffic accident reported one or more clinically significant symptoms of acute stress. For most children these symptoms are transient, however, about 15% develop persistent post-traumatic stress symptoms, which can impair functioning in cognitive, social, emotional and physical domains.3 ,4 Children and adolescents with post-traumatic stress disorder (PTSD) have been found to experience deficits in memory, attention and executive functioning.5 They show more emotion regulation difficulties, such as aggression, than children without PTSD6 and experience difficulties maintaining relationships with friends.7 Post-traumatic stress is also related to increased use of general healthcare.8

Childhood injury is a specific and easily identifiable event which both constitutes a risk factor for physical and psychosocial difficulties, and places those at risk within a health system. This presents an opportunity to provide children and their families with information and support aimed at secondary prevention of post-traumatic stress and further consequences. Web-based psychoeducation and targeted brief early intervention for injured children and their parents have shown a modest effect 9 and additional research has been called for to refine preventive approaches. In particular, these should be focused on parent–child processes.9 ,10

Parents have an active function in the immediate aftermath of an injury, including seeking emergency care, supporting their child through painful medical procedures, modelling a coping response, providing ongoing support and organising follow-up treatment. Parents have been shown to play a crucial role in children's post-trauma outcomes,11 although this evidence has predominantly focused on the role of parental distress.3 More broadly, child anxiety and emotion regulation research has shown that parents can reinforce unfavourable coping strategies as well as active, prosocial coping in children.12–14 Finally, in-depth interviews showed that children attach great value to parental support after trauma.15 While it has been established that parents can play a crucial role in children's psychological recovery from serious injury,16 the next step is to examine what parents actually do that helps or hinders their child's recovery. Examining patterns of parent–child communication in daily life and associations between these and children's recovery will help in developing targeted and tailored interventions.9

The child medical traumatic stress domain has only recently moved towards a greater focus on parents, and studies in this vein have mostly utilised retrospective self-report methodologies. Studies of parents’ behaviour after a child's potentially traumatic experience via retrospective questionnaires or interviews are challenged by vulnerability to biases related to self-report, such as social desirability, recall bias, impression management, lack of self-knowledge and mental health status.17 In addition, many daily behaviours are so subtle and natural that people have difficulty identifying and reporting on them. Many of these challenges can be overcome using an observational approach that measures daily parent–child interactions in real life. In fact, the general developmental and anxiety literature includes many real-time observational studies of parents interacting with their children; however, these are mostly families from the general population or clinical samples that are not necessarily trauma exposed, participating in brief non-naturalistic observations (ie, families are given a particular task and are taped).18 In short, the traumatic stress literature has an evidence base that is on-topic but requires more detail and ecological validity to inform clinical practice, while the general developmental and anxiety literature has an evidence base that is detailed and rich but not trauma-specific nor in most cases entirely naturalistic.

A recently developed method, called the Electronically Activated Recorder (EAR),19 provides an opportunity to gather detailed, naturalistic observational data on parent–child communication in the aftermath of injury, without placing a high burden on participants. The EAR is an ecological momentary assessment method which captures snippets of acoustic information from participants’ daily life. Ecological momentary assessment refers to the repeated sampling of participants’ current behaviours and experiences in real time, in participants’ natural environments.20 The EAR software operates on a small, unobtrusive device such as an iPod, and records snippets of ambient sound at preset random or regular intervals. It is one of the few ways to capture person-centred behavioural observational data in a natural environment. In particular, previous analyses showed that (1) after a short habituation period, the EAR operates unobtrusively and minimally interferes with participants’ normal activities; (2) behavioural information can be reliably decoded from the sampled sounds; (3) behavioural aggregates based on 2 days of monitoring show good temporal stability; and (4) the periodic sampling pattern yields generalisable estimates of a person's daily behaviour.17 When used in combination with questionnaires, the EAR has the advantage of minimising method variance.17

Research aim and objectives

This study aims to describe the nature and quantity of parent–child communication after a child has been injured, and to examine how communication is related to children's psychological recovery, as well as other child, parent and family well-being variables. The findings will inform the development of clinical guidance to parents on how to help their child recover psychologically after injury. In particular, our main research objectives are to:

  1. Characterise parent–child communication in the aftermath of children's serious injury;

  2. Examine relationships between these parent–child communication patterns and children's psychological recovery.

Methods and analysis

Study design

The project is a prospective observational study. Children aged 3–16 years who have sustained a serious injury and their parents are enrolled at the Royal Children's Hospital Melbourne, Australia. This hospital is a tertiary children's hospital with a state-wide paediatric trauma centre. Data are collected at:

  1. Baseline: In-hospital (T1a), we collect questionnaire data regarding demographics, injury characteristics, child acute stress and parent acute stress.

    Shortly after discharge (T1b), we collect EAR recordings of 2 days of children's daily life at home.

  2. Follow-up: At 6 weeks (T2) and 3 months (T3) post-injury we conduct structured telephone interviews regarding child and family outcomes.

Eligibility criteria

Families of children who have been hospitalised for at least 24 h due to an injury21 and are between 3 and 16 years of age are eligible, unless one or more of the following exclusion criteria apply: (1) the injury has been, or is suspected to have been, caused by child maltreatment or self-harm; (2) the family does not speak English in daily life (necessary for the coding of the EAR recordings); (3) the child has sustained a severe acquired brain injury (defined as a Glasgow Coma Scale22 score <9 at hospital presentation) and experiences continued impaired cognitive functioning at the time of approach (as decided by medical staff); (4) the child is hospitalised for more than 4 weeks (we aim to measure parent–child communication within the first month pos-tinjury); or (5) the child's injury was secondary to an ongoing medical condition (eg, a fracture associated with osteogenesis imperfecta).

Recruitment and procedures

Potential participants are identified on a daily basis via the Royal Children's Hospital (RCH) Emergency Department and inpatient hospital databases. Initial contact with children and families is made via an in-hospital visit by a member of the research team and an RCH Trauma Service staff member. A brief description of the study and an information flyer are given to the child and family. If the family expresses interest in hearing more about the study, a member of the research team provides further information and documents the informed consent of participants and families. Subsequently, demographic and injury data are retrieved from the medical records. Children and parents fill out the baseline questionnaires at their earliest convenience and are provided with the EAR (an iPod Touch pre-programmed with the EAR software). Children wear the EAR during the first weekend after discharge. At 6 weeks, and again at 3 months after the injury, psychological outcomes are assessed through telephone interviews with parents and with children if they are old enough.


Table 1 shows the assessments used in the study. The most important measures regard the observed parent–child communication and children's stress reactions.

Table 1

Ear for recovery study assessments

Primary measures

Child stress reactions

Children's stress reactions are measured with the Children's Revised Impact of Event Scale (CRIES-13)23 and the Child PTSD Symptom Scale (CPSS),24 for children aged between 8 and 16 years. The CRIES-13 measures intrusion, avoidance and arousal symptoms with 13 items on a 4-point scale. Reliability and validity of the CRIES-13 have been shown in several studies.25 In one of our previous studies, α was 0.85.26 The CPSS is a 24-item measure that can be used in the structured interview format and yields a continuous severity score, an impairment score, and a probable PTSD status. The scale has shown excellent internal consistency, test–retest reliability and convergent validity,24 and has been used successfully in medical child traumatic stress research.4 To include at least minimal data on younger children, parents of children of all age groups are asked to rate on a visual analogue scale how upset their child was directly after the event and how upset the child is at the time of assessment.

Parent-child communication

Families are loaned an EAR (a preprogrammed iPod Touch) to be used on the first feasible weekend after the child is discharged from the hospital. During two consecutive days, the injured child wears the EAR in a protective elastic belt on the outside of their clothes. Families are asked to keep a simple diary to identify the child's activities, who they are with, and any times the EAR is not worn by the child. The EAR records ambient sounds for 30 s every 5 min, from 7:00 to 22:00, totalling about 10% of the time. The sampling pattern yields about 160 sound files (80 min of recording) per person per day. This has been found sufficient to derive reliable and valid data on people's unique communication patterns,17 ,27 and by sampling only a fraction of the time, makes large observational studies feasible. The reliability, validity and unobtrusiveness of the EAR have been previously reported.17 ,27 ,28 Transcription and coding of the EAR data are described below.

Secondary measures

Demographics and injury characteristics

Demographics, including family structure, are collected from the parents. Children's injury type (mechanism and general description) and severity (ISS; Injury Severity Score based on the Abbreviated Injury Scale)29 are retrieved from the trauma registry of the RCH. Families are also asked whether one or both parents were present at the event that caused the injury, whether the child or a parent has been confronted with a traumatic event before, and whether the child or a parent has used mental healthcare services in the past 3 years.

Child social support

Children's perceived social support is measured with the Multidimensional Scale of Perceived Social Support (MSPSS).30 The 12-item measure reflects perceived support from family members, a special person and friends on a 7-point scale. Higher scores indicate more (perceived) social support. Reliability of the measure is high, as shown by a recent Australian study (α=0.90).31

Child well-being

The KIDSCREEN-2732 is used to assess the well-being of children aged 8–16 years. It is a 27-item instrument that covers five dimensions of quality of life on a 5-point scale: physical well-being, psychological well-being, autonomy and relationship with parents, peers and social support, and school environment. Validity and reliability are good.32 ,33 In addition, children are asked to indicate on a visual-analogue scale how happy they felt a week before the injury happened, how happy they feel currently and how happy they expect to feel in 1 month's time. Further information regarding child well-being in all age groups is gathered via parents answering the Strengths and Difficulties Questionnaire (SDQ)34 at T2 and T3. The SDQ is a brief behavioural screening questionnaire about 3–17-year-olds that is used often internationally. The reliability and validity of the SDQ have been described extensively.34 We use the Australian age-adapted versions (for 3-year-old; 4–10-year-old; and 11–17-year-old children).

Parental stress reactions

The Acute Stress Disorder Scale (ASDS)35 is used to assess parental acute stress reactions. The ASDS is a self-report scale with 19 items that measure acute stress according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, (DSM-IV) diagnostic criteria.36 Parents rate the extent to which they have experienced each symptom since the injury of their child on a 5-point scale. The scale is reliable (α=0.96) and has shown high sensitivity and specificity when compared with a diagnostic interview for acute stress disorder.35

Parental optimism

Parental optimism is measured with the revised Life Orientation Test-Revised (LOT-R).37 The measure has four ‘filler’ items that are not included in the score. The six remaining items measure participants’ expectations about their future and their general sense of optimism on a 5-point scale. Reliability of the scale is acceptable (α=0.75) and its validity is well-researched and confirmed.38 In addition, parents indicate on a visual analogue scale how happy or unhappy they feel and how confident they feel that they will be able to cope with a stressful situation.

Parental self-efficacy

Parental self-efficacy is measured by the 15 efficacy-focused items of the Screener for the Development of a Response Posttrauma (SDRP).39 The scale measures participants’ confidence in their ability to cope with a potentially traumatic event, with higher scores reflecting higher confidence (when the items referred to ‘ill/injured’ children we only retained the word ‘injured’).

Parental well-being

The Short-Form Health Survey (SF-36)40 is used to measure parental well-being. The SF-36 includes a single item measure of change in health status and a multi-item scale measuring each of the following eight health domains: physical functioning, role limitations due to physical health problems, bodily pain, general health, vitality, social functioning, role limitations due to emotional problems and mental health. Higher scores indicate higher levels of health and results can be divided into two aggregate scores: the physical component summary (PCS) and the mental component summary (MCS). Validity and reliability (PCS α=0.92; MCS α=0.91) of the measure have been demonstrated comprehensively.41

Family functioning

Family functioning is measured with the Family Adaptability and Cohesion Evaluation Scale IV (FACES-IV)42 (parent report). The measure contains 84 items which assess high and low extremes of family cohesion and flexibility across six scales: balanced cohesion, balanced flexibility, enmeshed, disengaged, chaotic and rigid. Validity and reliability of the scales are good.43

Data preparation and analysis

Handling of the data will be split into two broad stages: (1) EAR data preparation involving transcribing and coding as well as reliability checking and (2) statistical analysis involving EAR data and questionnaire data.

Stage 1: EAR data preparation

EAR data preparation involves transcription and coding by trained research assistants receiving regular supervision. Each audio file (ie, each 30 s segment) will be prepared by at least two transcribers/coders, allowing for corrections and reliability analyses. We expect to handle over 15 000 separate audio files.


Each audio file will be transcribed verbatim according to the guidelines of the computerised linguistic analysis programme called Linguistic Inquiry and Word Count (LIWC).44 The transcriptions will subsequently be aggregated and submitted to the LIWC software, which compares each word of a given text to a dictionary arranged into 74 categories (eg, family words, sadness words) and reports total numbers of words and proportions of overall word use falling into the specific word categories.


Audio file coding will focus on parent–child interactions, children's activities and behaviours, and the topics and tone of conversations. The coding is manualised: a standardised behavioural coding scheme—a system that details acoustically-detectible aspects of participants’ social environment and interactions adapted from previous EAR studies– will be used.17 Each sound file will be coded for (1) interaction (eg, with how many people, who is talking); (2) activity (eg, watching TV, eating); (3) mood/health of the child (eg, laughing, crying, groaning from pain); (4) topic of conversation (eg, emotions/feelings, child rearing, injury related) and (5) tone of conversation (eg, 1=very negative to 7=very positive, with 4 being neutral; see figure 1). As an example, with regard to interaction we will indicate for each audio file whether the child is alone or not, and in case of the latter, whether the child is (1) interacting with one other person, (2) interacting with a group (ie, more than one person) or (3) nearby other people (eg, adults are talking among themselves a few metres away) but not interacting. If the child is interacting with one or more people, we will record the gender of the conversation partner(s).

Figure 1

Standardised behavioural coding scheme.

Reliability analyses

The audio files will be coded by two research assistants, after which intercoder reliability will be calculated using intraclass correlations. Previous EAR studies have reported good reliability after coder training. For example in a recent study by Robbins et al,45 intraclass correlations for all coding categories ranged from 0.76 to 0.92.

Stage 2: Statistical analysis

Our main questions regard (1) the nature and quantity of parent–child communication after paediatric injury and (2) the relation between parent–child communication and children's psychological recovery.

Nature and quantity of parent–child communication

First, we will describe the sample in terms of mean scores, SDs and proportions. For example, we will examine the proportion of time that the children are interacting with others, and to what extent this figure varies across families. Second, we will identify typologies of parent–child communication using two-step clustering. Cluster analysis organises data into groups, or clusters. In particular, two-step cluster analyses are used to reveal natural, homogeneous subgroups within a data set that may not otherwise be apparent.46 It is a person-centred approach that is particularly suited for new areas of research. Each family will be allocated to one cluster based on statistical similarity within clusters and dissimilarity between clusters. For example, clustering can take place based on the following four variables: (1) the amount of time that parents spend with their children in the aftermath of serious injury; (2) the proportion of interaction time in which the injury or its consequences is discussed; (3) the proportion of positive interactions; (4) the proportion of negative interactions. We will test stability of the generated clusters by repeating the procedure with the sample split in two.46 When a stable set of clusters has been generated, these will be interpreted and labelled by the research team. For example, a cluster could consist of ‘withdrawn’ parents (who may show low interaction, low injury discussion and low positive interactions).

Associations with children's psychological recovery

To understand which clusters of parenting behaviour are related to higher and lower levels of child post-traumatic stress, we will conduct analyses of variance. Parenting behaviour will be the independent variable (with the groups being compared as identified through the cluster analysis) and child post-traumatic stress score as the dependent variable (we will use the total symptom score of the CPSS). When significant, we will conduct multiple comparisons between groups with a Tukey-test.

Secondary analyses

In addition to these main analyses (clustering and associations with child stress outcomes), the data will allow for the quantitative and qualitative exploration of associations among communication factors and child, parent and family well-being.

Sample size

With regard to describing the nature and quantity of parent–child communication, means and proportions of behaviours can be described based on smaller sample sizes than inferential statistics. For clustering procedures, there is no generally accepted rule of thumb for minimum sample sizes. Formann advocates a sample size of at least 2m, where m equals the number of clustering variables, suggesting that large sample sizes are not required (eg, 16 families if clusters were based on four variables).47 In order to relate communication characteristics to subsequent outcomes, the sample size requirements would increase with the number of variables involved. Previously published EAR studies have conducted data analyses with samples sizes of approximately 50 families. 45 ,48As Finkel,49 indicate, in this type of research, it is important to balance type 1 and 2 errors. The larger the sample size, the more fine-grained the analyses can be. We expect a sample size of approximately 70 families and intend to make the data available for future studies in order to ensure sufficient future sample sizes.

Ethics and dissemination

Signed informed consent is obtained from all participating families. We aim to disseminate the results of the study through international peer-reviewed journals, international conferences and social media. Participants will be sent a thank you letter with a summary of the overall study findings. In addition, depending on approval from the institutions involved, we aim to make de-identified data from the study available for secondary analyses by external researchers.

Particular ethical considerations associated with EAR research

Mehl et al17 have previously highlighted a number of considerations specific to conducting EAR research such as issues of confidentiality when recording ambient sounds, and recording bystanders, discussed below.

Recording bystanders

The EAR records anything occurring in the acoustic environment of the child wearing it—anyone talking to, or talking near the child, including in public spaces, may be recorded. This means that some people recorded will not have provided written consent. As the recording takes place in the participant's natural environment shortly after hospital discharge, the majority of recordings take place in the home and involve immediate family members who are aware of the study. In order to ensure that bystanders are aware of the study, participants are asked to make the EAR visible by wearing it on the outside of their clothes with a ‘RECORDING’ label sewn onto the elastic belt. Participants and their parents are also advised to tell anyone coming into contact with the child over the recording weekend that the child is wearing the EAR. These steps, together, ensure that bystanders are aware of the potential of being recorded and therefore, in essence, passively consent to it. Along with the de-identification procedures described below, this makes it unlikely that the privacy rights of non-consented people who are recorded are violated.

Privacy and de-identification

The EAR is programmed to record only a small fraction of a person's day. Sampling occurs for 30 s every 5 min, allowing the EAR to “reliably extract basic behavioural information, yet (recordings) are short enough to capture only little contextualized personal information”.17 While the brevity of the sound files protects participants’ privacy to a certain extent, identifying information is still occasionally contained within them. Research team members involved in data preparation are trained to recognise and remove such information, including names, places and contact information. All identifying information is highlighted by researchers during the transcribing and coding process, and as each participant's recordings are transcribed and coded multiple times by separate researchers, there are multiple opportunities for identifying information to be detected. Any identifying information within audiorecordings is then deleted by silencing the relevant sections of the sound file. During transcription, any identifying words are replaced by functional codes. For example, ‘Anna, can you turn the TV off?’ becomes “(S1ster), can you turn the TV off?” Any written identifying information (eg, names written within the participant diaries) is blacked out after use.


While serious injury puts children's healthy development at risk, currently available early interventions have only been modestly successful in preventing the development of persistent post-traumatic stress symptoms.4 ,9 With parents playing a central role in children's recovery,3 ,16 targeting parental support behaviour appears to be an important avenue for improving early interventions.

The Ear for Recovery study differs from previous research in its use of an unobtrusive naturalistic observation device to collect objective data in family situations that normally would go unstudied or would rely on self-report. The outcomes of the current project will allow us to (1) better understand families’ experiences after child injuries and therefore improve professional interactions with families; (2) indicate which parental behaviour may be helpful versus unhelpful, leading to specific recommendations for future early interventions (learning from the successful behaviour patterns while targeting the unsuccessful ones); (3) identify parents who may be in need of a tailored early intervention to help them support their child in the aftermath of a serious injury; and (4) further develop the EAR methodology as a diagnostic tool in child (mental) health research.

An important challenge of this study regards the time consuming and labour intensive process involved in handling the large volumes of audiodata. It is possible that as technology develops there will be the opportunity to make use of advanced speech recognition software, however, such software is not yet sophisticated enough to pick up on many of the subtleties that make up social interactions. A limitation of the current study is that we do not include an observation within the first few hours or day after the injury. It is possible that relevant parent–child interaction patterns take place in those first moments and become less frequent or prominent in the following days and weeks. In addition, an observation at the time points of the follow-ups was not feasible within the current study but would be of value for future research.

With the EAR methodology we will be able to provide a detailed characterisation of parent–child communication after serious injury. The current study aims to pave the way for better interventions to facilitate children's psychological recovery after serious injury. Implications may include exploring opportunities for use of the EAR methodology as a diagnostic measure in its own right and to inform other areas of child physical and mental health.


The authors would like to acknowledge the contributions of the Trauma Service and the nursing and medical staff of the Royal Children's Hospital Melbourne who are involved in the study. In particular, the authors would like to thank Helen Jowett, Cameron Palmer and Silvia Bressan.



  • Contributors EA is the principal investigator of this study. EA, AB, FEB, RC, RJMC, VA and MM designed the study. EA, PB and AB drafted the manuscript. FEB, RC, RJMC, VA and MM provided feedback on the manuscript. All authors approved the manuscript.

  • Funding This study is supported by The Netherlands Organisation for Scientific Research (grant 446-11-021), Monash University (Larkins program) and the Victorian Government's Operational Infrastructure Support Program.

  • Competing interests None.

  • Ethics approval This study has been approved by the Human Research Ethics Committee of the Royal Children's Hospital Melbourne (study number 33103) and Monash University Human Research Ethics Committee (file number CF13/2515—2013001322).

  • Provenance and peer review Not commissioned; internally peer reviewed.