Abstract
Day programs have received significant consideration within psychological literature as part of a continuum of mental health services. With increasing attention on the prevalence of eating disorders in children and adolescents, and the need for early intervention to minimize the costs and burden of the disorder, eating disorder day programs (also referred as partial hospitalization) have begun to emerge around the world. Despite their widespread use, no reviews to date have examined the efficacy of day programs for the treatment of eating disorders in children and adolescents. The current narrative literature review aims to describe and evaluate the efficacy of day programs for children and adolescents. The literature review was conducted according to the PRISMA guidelines and aimed to explore the outcomes and common program elements of day programs to guide clinical practice and service development. The review found variations amongst the day programs related to program elements, measures utilized and outcomes. Overall, the results suggest that day programs for children and adolescents are effective at restoring body weight, reducing eating disorder symptoms and addressing comorbid mental health concerns.
Keywords: adolescent health, eating disorders, day programs, partial hospitalization
Key points
Day programs (DP)for children and adolescents with eating disorders are becoming increasingly prevalent around the world. These programs vary in their structure, processes and efficacy
The systematic review of 21 programs revealed day programs as effective in restoring body weight, reducing eating disorder symptoms and addressing comorbid mental health concerns. There is evidence to suggest the maintenance of these gains at 3 and 6 month follow‐up
The review highlights promising models of care, and provides guidance on evidence‐based clinical processes, as well as program evaluations of day programs
Abbreviations
- ABAS
adaptive behaviour assessment system
- ADHD
attention deficit hyperactivity disorder
- AN
anorexia nervosa
- ARFID
avoidant and restrictive food intake disorder
- BMI
body mass index
- BN
bulimia nervosa
- CBT‐E
cognitive behaviour therapy – enhanced
- CDI
children’s depression inventory
- ChEAT
children’s eating attitudes test
- DBT
dialectical behaviour therapy
- DP
fay programs
- DSM
diagnostic and statistical manual
- EBW
expected body weight
- ED
eating disorders
- EDE‐Q
eating disorder examination questionnaire
- EDI
eating disorder inventory
- EPHPP
effective public health practice project
- FBT
family based treatment
- HLC
higher levels of care
- IBW
ideal body weight
- MASC
Multidimensional Anxiety Scale for Children
- MDT
multidisciplinary team
- MRAOS
Morgan and Russel average outcome score
- OSFED
other specified feeding and eating disorder
- PvA
parents versus anorexia scale
- RCMAS
revised children’s manifest anxiety scale
- USFED
unspecified feeding and eating disorder
1. INTRODUCTION
Eating disorders (EDs) are complex, prevalent yet treatable mental illnesses, with a high rate of onset in adolescence (Lawrence et al., 2015). EDs in children and adolescents are particularly harmful as they interfere with normal growth and development (American Psychiatric Association, 2013) and have one of the highest mortality rates of all psychological disorders (Chesney et al., 2014). This is in part due to medical complexities associated with EDs, for example Anorexia Nervosa (AN), an ED involving the restriction of food intake resulting in life‐threatening medical issues associated with significant weight loss (APA, 2013). Psychological treatment for children and adolescents with EDs typically involves community‐based, outpatient services (Derenne, 2019). For children experiencing severe and chronic ED symptoms, mental health services offering more intensive forms of treatment, referred to as Higher Levels of Care (HLC), are often recommended (Derenne, 2019). HLC represents a continuum of services in hospital based inpatient units or residential settings. These services typically serve children and adolescents who are medically compromised due to EDs or have not made sufficient progress in an outpatient clinic and require the child and their family to stay at the facility. These treatment settings aim to match illness severity with treatment dosage – such as increased medical monitoring, supervision of meals, the provision of multidisciplinary treatment programs and increased frequency of psychological treatment sessions (Anderson et al., 2019; Derenne, 2019).
Day Programs (DPs) (also referred to as partial hospitalisation) is useful for those whose symptoms are too severe to be treated by a traditional outpatient team, but who do not require hospital based, inpatient or a residential treatment (Derenne, 2019). At DPs, clients typically receive 6–10 hours per day of treatment and supervised meals for 3.5–5 days per week (Simic et al., 2018). DPs have been found to facilitate increased family involvement in treatment and to be cost‐effective given the high costs associated with inpatient and long‐term residential services for clients with severe and refractory forms of EDs (Derenne, 2019). Although DPs are widely used to treat EDs, no reviews have focused on examining the structure and effectiveness of DPs in treating EDs in child and adolescent populations. Previous reviews have focused on the use of DP for both adult and adolescent populations – with minimal discussion of the utility and efficacy of these services for children (e.g., Friedman et al., 2016). Hence, it is crucial to evaluate the effectiveness of DPs and examine their program contents to guide clinical practice for children and adolescents with EDs. This narrative literature review will aim to provide a useful guide for researchers and clinicians planning to establish a program. The review will aim to address the following two questions:
Are DPs for children and adolescents efficacious in restoring psychological and physical health?
What are the common program elements of DPs for children and adolescents with EDs?
2. METHOD
2.1. Search strategy
A review of peer‐reviewed literature was performed by the authors between January 2020 to November 2021 to evaluate the effectiveness of Day Programs (DP) in improving physical (e.g., weight) and psychological health (e.g., ED related symptoms, depression, anxiety) among children and adolescents. In addition to health outcomes, the narrative literature review aimed to identify common program elements of DPs. Given the focus on understanding the efficacy of ED‐DPs, only peer‐reviewed studies were included, and grey literature was not accessed for the review. When further information regarding services and programs were required, the authors directly contacted the authors of reviewed studies requesting further details. The review was performed using the following six databases: PsycInfo, PsycArticles, PubMed, Ebscohost Megafile Ultimate, CINAHL and Psychology and Behavioural Sciences. The search strings utilized are displayed in Table 1. The reference lists of the included studies were also reviewed to further identify suitable studies that met the inclusion criteria.
TABLE 1.
Search terms
| Key concepts | String 1 | String 2 | String 3 |
|---|---|---|---|
| Eating disorder | Population | Service Delivery | |
| Search Terms | anorexia nervosa OR bulimia nervosa OR eating disorder not otherwise specified OR other specified feeding and eating disorder OR avoidant restrictive food intake disorder OR eating disorder* | adolescen* OR child* OR youth | day program OR day hospital* OR partial hospital* |
2.2. Selection criteria
Included studies met the following criteria:
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1)
Studies published between 2009 and 2021
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2)
Inclusion of participants who were diagnosed with any type of EDs using DSM‐IV, DSM‐IV‐TR, or DSM‐5 criteria
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3)
Participants were aged 18 years or younger.
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4)
Collection of quantitative outcomes which must include a measure of body weight
Excluded studies met the following criteria:
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1)
All participants of the research were aged 19 years and above.
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2)
Studies that did not assess body weight (e.g., Body Mass Index (BMI), Ideal Body Weight (IBW))
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3)
Studies not written in English
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4)
Studies that were not available to view in full text
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5)
Studies that were not peer‐reviewed
The initial database search identified a total of 5437 articles and 50 duplicate articles were removed. Titles and abstracts of the articles were individually and manually screened in reference to the inclusion and exclusion criteria, leaving 71 articles. A manual examination of the full text was conducted in a similar manner, further removing 50 articles from the analysis. The full text of the remaining 21 articles were read to ensure that they met the eligibility requirements (see Figure 1 below).
FIGURE 1.

PRISMA flowchart of the systematic literature review.
2.3. Data extraction and management
The Effective Public Health Practice Project (EPHPP) Quality Assessment Tool (Thomas et al., 2003) was used to evaluate the methodological quality of each article. Using the EPHPP, nine areas of selection bias, study design, blinding, data collection methods, withdrawals and drop‐outs for discharge and follow‐up data, analysis, and data collection for discharge and follow‐up data were assessed. The quality in the overall design of the 21 articles were appraised by both the research student and the supervisor. All 21 studies were selected for inclusion.
2.4. Results
All studies collected quantitative data and employed a longitudinal study design. One third of studies included follow‐up data post‐discharge (n = 7). One article compared patient outcomes between different levels of care (i.e., DP vs. inpatient). The following section will present the narrative summary of the ED‐DP services and service outcomes.
2.4.1. Participants
The 21 studies included a total of 1366 participants, averaging 65 participants per study with the range varying from n = 19 (Girz et al., 2013) to n = 160 (Lazaro et al., 2011). Most participants were female, with eight studies including only female participants (Bryson et al., 2018; Goldstein et al., 2011; Griz et al., 2013; Henderson et al., 2014; Herpertz‐Dahlmann et al., 2014; Lazaro et al., 2011; Zanna et al., 2021).
2.4.2. Age
All participants from the included studies had participants between the ages of 7–18 years. However, participants from two studies included participants older than 18 years, not meeting the age criteria (deGraft‐Johnson et al., 2013; Hoste, 2015). Despite the violation of the inclusion criteria for age, they were included as most of the participants were aged under 18 years old (e.g., deGraft‐Johnson et al.’s (2015) study included 174 participants aged less than 18 years – out of a total of 198 patients).
2.4.3. Eating disorder diagnoses
ED diagnoses were determined using the DSM‐5 in six studies (Hoste, 2015; Ornstein et al., 2017; Bryson et al., 2018; Pennell et al., 2019; Simic et al., 2018; Smith et al., 2021), and using DSM‐IV or DSM IV‐TR in the remaining fifteen studies. Four studies included participants with AN only (Herpertz‐Dahlmann et al., 2014; Ngo & Isserlin, 2014; Martin‐Wagar et al., 2019; Rienecke, 2019) while the other studies included participants with various EDs such as AN, BN, EDNOS, ARFID, OSFED or UFED.
2.4.4. Comorbidities
Ten studies reported on comorbid psychiatric disorders (Bustin et al., 2013; Rienecke, 2019; Ornstein et al., 2012; Girz et al., 2013; Grewal et al., 2014; Herpertz‐Dahlmann et al., 2014; Bryson et al., 2018; Simic et al., 2018; Pennell et al., 2019; Martin‐Wagar et al., 2019). Mood disorders was the most common comorbid diagnosis followed by Anxiety Disorders and Attention Deficit Hyperactivity Disorder (ADHD).
2.4.5. Sites
The countries in which the ED‐DPs were located were: the United States of America (n = 9), Canada (n = 5), Australia (n =1), Spain (n =1), Germany (n =1), United Kingdom (n = 2) and Italy (n = 2). Several DPs were located on the grounds of pediatric hospitals (n = 10), general psychiatric hospitals (n = 2), and general hospitals (n = 8; Table 2).
TABLE 2.
Tabulation of articles included in the review
| Study and Program Details | Study Design | Participant Characteristics | Measures Used | Key Outcomes | Limitations |
|---|---|---|---|---|---|
Baudinet et al., 2020
|
Case seriesx |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
|
Case series |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
|
Case series |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
deGraft‐Johnson et al., 2013
Program:
|
Case series |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
Girz et al., 2013
Program:
|
Case series |
N = 19Diagnostic groups:
|
Weight Measure:
|
Physical Health Outcomes:
|
|
|
Case series |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
|
Case series |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
|
Case series |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
|
Randomised controlled design; Cohort study. |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
|
Case series |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
|
Case series |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
Martin‐Wagar et al., 2019
Program:
|
Case series |
N = 87Diagnostic groups:
|
Weight Measure:
|
Physical Health Outcomes:
|
|
|
Case series |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
|
Case series |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
|
Case series |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
|
Case series |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
|
Case series |
N = 87
|
Weight Measure:
|
Physical Health Outcomes:
|
|
|
Case series |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
|
Case series |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
Smith et al., 2019
|
Case series |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
|
Pilot Study |
|
Weight Measure:
|
Physical Health Outcomes:
|
|
2.4.6. Staffing
Seventeen studies reviewed reported to have multi‐disciplinary teams (MDT) while four studies (Bustin et al., 2013; deGraft‐Johnson et al., 2013; Rienecke, 2019; Smith et al., 2019) did not make a specific reference to an MDT. Nine studies included a pediatrician (Ornstein et al., 2012; Grewal et al., 2014; Henderson et al., 2014; Ngo & Isserlin, 2014; Hoste, 2015; Simic et al., 2018; Smith et al., 2019; Pennell et al., 2019; Martin‐Wagar et al., 2019). Ten studies mentioned including nursing staff. DPs in eighteen reviewed studies reported including a psychiatrist. Fourteen studies reported including a dietitian. Lastly, eight studies included teachers as part of the educational support provided to patients in the DPs (deGraft‐Johnson et al., 2013; Girz et al., 2013; Grewal et al., 2014; Henderson et al., 2014; Hoste, 2015; Ornstein et al., 2017; Pennell et al., 2019; Rienecke, 2019).
2.4.7. Program structure
DPs typically operated for seven hours per day ranging from 5 (Goldstein et al., 2011) to 10 h a day (Henderson et al., 2014). Four studies did not report the daily duration of DPs (Bustin et al., 2013; Girz et al., 2013; Grewal et al., 2014; Herpertz‐Dahlmann et al., 2014). Of those five studies which reported on details of operating hours, one operated in the afternoon from 2pm to 8:30pm (Lazaro et al., 2011), while the other four operated from the morning to late afternoon (e.g., 8 AM to 4 PM; deGraft‐Johnson et al., 2013; Ngo & Isserlin, 2014; Simic et al., 2018; Pennell et al., 2019).
ED‐DPs operated between three and half days per week (Goldstein et al., 2011) to 5 days per week (Lazaro et al., 2011; Ornstein et al., 2012; deGraft‐Johnson et al., 2013; Grewal et al., 2014; Henderson et al., 2014; Hoste, 2015; Ornstein et al., 2017; Bryson et al., 2018; Simic et al., 2018; Rienecke & Richmond, 2018; Pennell et al., 2019; Martin‐Wagar et al., 2019; Rienecke, 2019; Smith et al., 2019). Eight studies determined the duration of the DP on an individual basis depending on weight gain and maintenance (Lazaro et al., 2011; Ornstein et al., 2012; Bustin et al., 2013; Girz et al., 2013; Gewal et al., 2014; Simic et al., 2018; Pennell et al., 2019; Martin‐Wagar et al., 2019). Five studies did not report proposed DP duration (Herpertz‐Dahlmann et al., 2014; Ngo & Isserlin, 2014; Hoste, 2015; Ornstein et al., 2017; Bryson et al., 2018). Five studies (Goldstein et al., 2011; deGraft‐Johnson et al., 2013; Henderson et al., 2014; Rienecke, 2019; Smith et al., 2019) reported treatment episode lengths to be 7 weeks on average, ranging from 2.6 weeks (deGraft‐Johnson et al., 2013) to 12–14 weeks (Henderson et al., 2014).
2.4.8. Interventions and activities
DPs in most studies included the following programs: individual patient psychotherapy session, patient group counselling, individual parent counselling, single family counselling with a patient and a parent, parents group counselling, multi‐family group counselling, at least two supervised meals and nutritional counselling. Variations were noted in how the DPs implemented intervention components. For example, most DPs required patients' parents to attend at least one supervised meal a day (e.g., Hoste, 2015; Smith et al., 2019) while one program allowed for patients to have staff supervised meals without the presence of parents (Martin‐Wagar et al., 2019).
Of the studies reviewed, one study included motivational enhancement strategies (Goldstein et al., 2011) and sibling psychoeducation session (Goldstein et al., 2011). One study utilised phone coaching between therapist and parents which involved discussing appropriate strategies for parents to provide meal support for their children over the weekend (Girz et al., 2013). Parents were required to attend the DP facility during the weekdays to provide support if patients refused to finish a meal (Girz et al., 2013). Two studies included art therapy (Goldstein et al., 2011; Ornstein et al., 2017) and one study included yoga (Henderson et al., 2014). Six studies reported that their DPs had school‐based activities incorporated into their daily schedule (deGraft‐Johnson et al., 2013; Henderson et al., 2014; Ngo & Isserlin, 2014; Ornstein et al., 2017; Pennell et al., 2019; Rienecke, 2019). Three studies indicated running daily school‐based activities for 2 to 2.5 h for 5 days per week (deGraft‐Johnson et al., 2013; Ornstein et al., 2017; Pennell et al., 2019).
All the studies utilized FBT with or without other additions or adaptations. Eleven studies used FBT‐informed care. Six studies implemented FBT and incorporated CBT‐E approaches as part of the treatment (Goldstein et al., 2011; Lazaro et al., 2011; Herpertz‐Dahlmann et al., 2014; Ngo & Isserlin, 2014; Ornstein et al., 2017; Bryson et al., 2018). One study used both FBT and DBT‐informed treatment approaches together (Pennell et al., 2019). Three studies utilized an FBT‐informed care, CBT and DBT‐informed approach (Simic et al., 2018; Martin‐Wagar et al., 2019; Smith et al., 2019).
2.4.9. Number of Admissions
Most studies (n = 17) did not report the maximum capacity of DP. Three studies reported to have a capacity of up to eight people (Girz et al., 2013; Grewal et al., 2014; Ngo & Isserlin, 2014). Simic et al. (2018) reported providing care for eight to ten patients per day and Pennell et al.’s (2019) DP provided care for four to six patients per day.
2.4.10. Drop‐out rate
Drop‐out is generally defined as discontinuing treatment prior to the recommendations of the treating service. According nine of the reviewed studies which reported drop‐out rates, the average drop‐out rate was 21.38%. Three studies classed patients who were admitted to IP while undertaking DP as drop‐out (Goldstein et al., 2011; Ornstein et al., 2017; Simic et al., 2018). Two studies considered patients who discontinued the DP due to ED‐related medical condition as drop‐out (Bryson et al., 2018; Ornstein et al., 2017). Four studies did not specify the detailed criteria for drop‐out despite reporting drop‐out rate (Grewal et al., 2014; Herpertz‐Dahlmann et al., 2014; Hoste, 2015; Martin‐Wagar et al., 2019).
2.4.11. Parental involvement
All reviewed studies required parent participation. Six studies specified that their DPs required at least one parent to participate in the program interventions (Lazaro et al., 2011; Ornstein et al., 2012; Girz et al., 2013; Rienecke & Richmond, 2018; Rienecke, 2019; Smith et al., 2019). Nine studies specified that at least one of their supervised meals involved a parent (Ornstein et al., 2012; Girz et al., 2013, Henderson et al., 2014; Hoste, 2015; Ornstein et al., 2017; Simic et al., 2018; Pennell et al., 2019; Martin‐Wagar et al., 2019; Smith et al., 2019). The remaining six studies did not specify the nature of parent involvement.
2.4.12. Physical health outcomes
All reviewed articles included weight measures assessed by a medical practitioner. All the studies reported an increase in weight by the end of the admission to the DP. Four studies did not conduct inferential statistical analyses to assess changes in weight (Girz et al., 2013; Grewal et al., 2014; Lazaro et al., 2011; Ngo & Isserlin, 2014), with several studies not reporting on effect sizes. Of the studies that reported effect sizes related to changes in body weight post‐treatment, two studies reported small effect (d = 0.30 to 0.50; Goldstein et al., 2011; r = 0.10 to 0.30; Bryson et al., 2018) and two studies reported medium to large effect sizes (d = 0.50 and higher; Simic et al., 2018; r = 0.30 and higher; Bryson et al., 2018; Zanna et al., 2021). Goldstein et al. (2011) reported medium to large effect sizes in six‐month follow‐up (d = 0.86).
Seven studies reported on follow‐up outcomes. Six studies reported that patients maintained their weight gain at 3, 6, 12 or 31 months post discharge. Only Zanna et al. (2021) discussed using the measurement of any other metabolic monitoring indicator (heart rate).
It is important to note that there were variations in how body weight was measured and reported. Most (n = 18) included one measure and few studies (n =3) included two measures. Of all reviewed studies, six studies calculated ideal body weight (IBW), and seven studies assessed changes in weight by BMI. Three studies calculated ideal body weight based on MBMI and five studies determined the deviation from ideal body weight by Expected Body Weight (EBW) (Herpertz‐Dahlmann et al., 2014; Hoste, 2015; Martin‐Wagar et al., 2019; Rienecke, 2019; Smith et al., 2019).
EBW can be calculated in three different ways: BMI percentile, McLaren method, or Moore method (Le Grange et al., 2012). The BMI percentile method involves using the 50th BMI percentile as the patient’s goal weight – based on their age and gender (Le Grange et al., 2012). Of five studies which used EBW to track weight recovery, one studies utilised the BMI percentile method (Herpertz‐Dahlmann et al., 2014). The Moore method estimates ideal body weight according to height percentile on a growth chart based on age (Moore et al., 1985). For instance, a 12‐year‐old patient with a height in the tenth percentile, should be at the tenth percentile for weight for 12‐year‐old population norms (Moore et al., 1985). Three studies utilised the Moore method (Rienecke & Richmond, 2018; Martin‐Wagar et al., 2019; Smith et al., 2019). Finally, the McLaren method determines ideal body weight by drawing a vertical line between the child's height on the height‐for age graph and the equivalent 50th percentile weight (McLaren & Read, 1972). None of the studies utilised the McLaren method. One study was unclear about which method was used to calculate EBW (Rienecke, 2019)
It is important to note that there are moderate correlations amongst these three methods. The more discrepant calculations were seen at high and low height percentiles and in older teens (Kanget, et al., 2019; Le Grange et al., 2012). Lastly, one study calculated Goal Weight (GW) to monitor weight gain without specifying the formula for GW calculation (Grewal et al., 2014).
2.4.13. Psychological outcomes
Most of the studies utilized self‐report measures only (n = 15). Eleven studies used one measure and four studies used two measures to assess ED‐related outcomes. Six studies did not measure any ED‐related outcomes. Measures that were utilized across at least two studies are discussed below.
2.4.14. Eating disorder inventory 2nd edition
EDI‐2 is a valid 91‐item self‐report questionnaire used to evaluate behavioural and psychological psychopathology of EDs in patients aged over 12 years. Herpertz‐Dahlmann et al. (2014) compared EDI‐2‐Global Score between a DP and an IP at pre‐treatment and 12 months follow‐up and found no significant difference, indicating IP service was not superior to DP. EDI‐2‐Body Dissatisfaction showed gradual reduction between pre‐treatment to 6 months follow‐up. However, only EDI‐2‐Body Dissatisfaction between pre‐treatment to 6 months follow‐up was statistically significant, showing approximately 80% of patients returned to healthy range.
2.4.15. Eating disorder inventory 3rd edition
EDI‐3 is a 91‐item self‐report inventory used to assess psychological traits and behavioural symptoms associated with AN, BN, and EDNOS in those aged between 13 to 53 years. Two DPs used EDI‐3 and reported significant improvement in all subscales administered except for EDI‐3‐Maturity Fears at post‐treatment. Goldstein et al. (2011) administered five subscales (Drive for Thinness, Body Dissatisfaction, Perfectionism, Personal Alienation, Maturity Fears) of EDI‐3 in those with AN and EDNOS subtype AN. They found significant reduction in Drive for Thinness and Perfectionism, with a small to medium effect sizes post‐treatment (d = 0.11 to 0.58) and medium to large effect sizes at 6 months follow‐up (d = 0.49 to 0.99). Body Dissatisfaction scale showed statistically significant reduction between pre to 6 months follow‐up only, but not between pre‐ to post‐treatment (Goldstein et al., 2011). Girz et al. (2013) administered all subscales of EDI‐3 in those with AN, BN, EDNOS‐subtype AN and EDNOS‐subtype BN. They found significant reduction in all subscales except for EDI‐3‐Maturity Fears between pre‐ to post‐treatment, which was consistent with Goldstein et al. (2011). Finally, Baudinet et al. (2020) found changes across several EDI‐3 subscales (Table 2) with small to medium effect sizes, ranging from d = 0.26 to 0.39. The biggest effect sizes were reported for the subscales of Personal Alienation and Interceptive Deficits (Baudinet et al., 2020). Long‐term outcome of EDI‐3 was not assessed in any of the studies reviewed.
2.4.16. Children's eating attitudes test
ChEAT is a valid 26‐item self‐report questionnaire that was developed to assess eating attitudes and behaviors associated with AN and BN (Garner, Olmsted, Bohr, & Garfinkel, 1982; Maloney, McGuire & Daniels, 1988). All four studies which used ChEAT reported improvement for eating attitudes and behaviors in ED patients (Ornstein et al., 2012; Ornstein et al., 2017; Bustin et al., 2013; Bryson et al., 2018).
Ornstein et al. (2017) compared ChEAT‐total and all three subscales amongst patients with AN, BN, ARFID and OSFED/UFED at pre‐ and post‐treatment. As expected, they found that both AN and BN scored high and within clinical range on ChEAT‐total while those with ARFID scored in the subclinical range on ChEAT‐total at pre‐treatment. At discharge, no differences amongst four diagnostic groups were found on ChEAT‐total score, and those with AN and BN experienced a significantly greater reduction relative to those with ARFID. Similarly, Bustin et al. (2013) found a reduction on ChEAT total scores following day program treatment. Consistent with Ornstein’s (2017) findings, Bryson et al. (2018) found that those with AN scored significantly higher on ChEAT‐total compared to those with ARFID. Both AN and ARFID's ChEAT‐total scores decreased at a similar rate from post‐treatment to 31 months follow‐up (Bryson et al., 2018).
2.4.17. Eating disorder examination questionnaire
EDE‐Q is a 36 item self‐report questionnaire used to evaluate behavioural and cognitive features of EDs (Fairburn and Beglin, 1994). Three studies found significant improvement in EDE‐Q total score at post‐treatment (Hoste, 2015; Simic et al., 2018; Rienecke & Richmond, 2018). Hoste (2015) further identified that both Restraint and Eating Concern subscales showed significant improvement at post‐treatment while Shape Concern and Weight Concern subscales did not. Simic et al. (2018) reported a large effect size at post‐treatment for changes in EDE‐Q scores (d = −0.85). Rienecke & Richmond (2018) found significant improvements on all EDE‐Q sub‐scales between admission and discharge (subscale t‐scores ranging between 4.93 and 6.29; see Table 2). The authors found significant gains between discharge and three‐month follow‐up for the Shape Concern subscale (see Table 2; Rienecke & Richmond, 2018).
2.4.18. Other psychological measures
All reviewed studies utilized self‐report measures to assess depression and anxiety symptoms. Three studies used one measure and four studies used two types of measures. Measures that were utilized across at least two studies were Children’s Depression Inventory (CDI; Kovacs, 2010; n = 6), Revised Children’s Manifest Anxiety Scale (RCMAS; Reynolds & Richmond, 1985; n = 2), Morgan and Russel Average Outcome Score (MRAOS; Morgan & Hayward, 1988; n = 3) and the Multidimensional Anxiety Scale for Children (MASC; March, 1997; n = 2). Of the six studies that utilized the CDI, four reported significant reductions in depressive symptoms at discharge (Girz et al., 2013; Henderson et al., 2014; Ornstein et al., 2012; Rienecke & Richmond, 2018). Similarly, the improvements in anxiety and general functioning were observed in studies utilizing the MRAOS, RCMAS and MASC at discharge (Henderson et al., 2014; Ornstein et al., 2012; Zanna et al., 2021). Regarding follow‐up data, Girz et al. (2013) found significant reductions in depressive and anxiety symptoms at three‐ and six‐month follow‐up utilizing the CDI and MASC respectively. Overall, these findings highlight gains in comorbid mental health concerns following ED‐DP admissions.
3. DISCUSSION
The present review aimed to examine whether DPs for children and adolescents with EDs were efficacious in treating ED symptoms and promoting physical and psychological health. In the studies reviewed, children and adolescents admitted to ED‐DPs showed significant improvement in eating disordered symptoms. The effect sizes for weight gain post‐treatment ranged from small to large. There is some evidence to also support the maintenance of these gains in studies that conducted 6‐month (Goldstein et al., 2011) and 31‐month follow‐up of the patients (Bryson et al., 2018). Of note, Goldstein et al. (2011) reported large effect sizes related to weight gain at 6 months post‐treatment. The varying findings across the studies can be attributed to differences in measurements and program evaluation methodology.
The review highlights several variations in how body weight was measured and reported between the programs and studies. For instance, changes in physical health were assessed using various measures of body weight. Commonly used weight indices included BMI, IBW, EBW, and MBMI. Several clinical practice guidelines for the treatment of EDs (e.g., Hay et al., 2014) have no specific recommendations for indices of body weight despite its importance in tracking recovery (Lebow et al., 2018). While differences in measurement in the studies reviewed reflects practices within DPs, variations in the calculation of weight gain have been observed across studies of ED in children and adolescents in general (Le Grange et al., 2012). Consensus around best practice in such measurements may help benchmark ED‐DP outcomes around the world.
Similar to the measurement of physical health concerns, there was variance between programs about how psychological health gains were measured. Amongst the studies that utilised psychological measures, commonly used measures of ED symptoms included the EDI‐2, EDI‐3, ChEAT, EDE‐Q, and mood and anxiety was assessed by CDI, RCMAS and/or MASC. All of these measures were well‐validated and held good reliability amongst child and adolescent populations. With many of the ED treatments focusing on changes within the family, the utilisation of measures of parent and family functioning would be useful. For example, programs utilising FBT‐based approach would benefit from more consistent use of parent‐rated measures, such as the Parents versus Anorexia Scale (e.g., Hoste, 2015; Rienecke & Richmond, 2018). Measures of general functioning (e.g., Children's Global Assessment Scale), functional impairments (e.g., Adaptive Behaviour Assessment System) and wellbeing and quality of life (e.g., Perceived Quality of Life) may also be of benefit. Overall, there needs to be more consistent use of reliable and valid measures of ED symptoms to enable comparisons to be made between studies.
Seven studies did not report drop‐out rate and those studies that reported drop‐out differed in their definition of drop‐out. For instance, some studies considered patients who did not complete DP due to inpatient transfer as dropouts and one study categorised those who did not achieve weight restoration as dropouts (Grewal et al., 2014). This is concerning as it biases study results toward stronger efficacy of DP. Therefore, there needs to be more consistency in reporting of drop‐out rate and criteria.
The common elements identified were DPs operating five days a week, the use of FBT‐informed care, utilizing multi‐disciplinary teams, having some measure of weight and using of self‐report measures. Apart from these commonalities, significant variations and omissions were noted in the description and details provided regarding program elements in the papers reviewed. Four articles included detailed descriptions of the services. As the DPs reviewed in this paper are from around the world, peer‐reviewed journal articles on the program evaluations of these DPs may consider a description of the services and the health care service context to support the generalisation of learning to the international community of paediatric ED health professionals. All reviewed DPs employed MDT staff, however, there was minimal information about the training and minimum requirements for MDT staff to be eligible to work at ED‐DPs. Also, there was little clarity of the role and contributions of specific disciplines in the ED interventions with children and adolescents with various EDs.
Most studies reported that their DP typically ran for seven hours per day for 5 days per week. However, several studies did not report their program operating hours and duration. Operating hours and duration are an important consideration when thinking about the feasibility and cost‐effectiveness of programs. For example, it may be beneficial to investigate whether clients engaging in DPs with a shortened duration of time also report similar benefits. If so, such models may be more feasible in health care contexts with limited resources. This may be the case for DPs in countries that lack the mental health care infrastructure that is readily available to the programs reviewed in the study. Operating hours of the DP also have implications in terms of the burden and level of disruption it is to a child and family’s life. More time at a DP relates to having more time away from ones' home and school, and possibly more time away from work and other family members for parents. This has implications for the child or adolescent reintegrating into home, school and other relevant contexts following discharge. Most DPs appear to be linked to a hospital. Given ED‐DP is part of a stepped care model, being located within a hospital system would enable clients to receive intensive, inpatient services in a timely manner if required. However, it remains unclear if the transition to community service from such hospital‐based services is more difficult for children, adolescents and their families.
All studies utilised an FBT‐informed care approach with some including other evidence‐based interventions such as CBT‐E and DBT. There was a wide variation in the types of additional interventions and activities (e.g., art therapy, yoga, nutritional counselling; individual parent counselling, parents group counselling). With several of these interventions utilised currently lacking an evidence base to validate their efficacy, there is a need for ED‐DPs to more rigorously evaluate the efficacy of these novel interventions with children, adolescents and families. It would be useful to identify any unique contributions of these alternate approaches, over and above those gained through evidence‐based treatments like FBT‐informed care or CBT‐E. In addition, as supervised meals provide a parent with an opportunity to learn skills to support their child’s eating behaviours, it may be useful to report the degree of parental involvement (e.g., preparing meal, supporting a child to eat) in supervised meal session. Lastly, information about the number of inpatient admissions during an ED‐DP admission was also inconsistently reported. Information about the use of nasogastric feeding during DP admissions may also be of benefit in program evaluations.
4. FUTURE DIRECTIONS
With research now pointing to the multi‐organ impact of EDs, ED‐DPs should report on other physical health indicators – including heart rate and blood pressures (Hay et al., 2014; Sachs et al., 2016; Tokumura et al., 2012). While patients to the ED‐DPs are typically admitted based on the criteria of being ‘medically stable’, the periodic physical health assessment may alert health professionals to any comorbid health conditions that require attention (Vo et al., 2016).
The studies reviewed did not consistently report if participants were prescribed psychiatric medication whilst at ED‐DPs. There is much debate on the use of psychopharmacology in EDs with children and adolescents (Flament et al., 2012) – with some emerging evidence to suggest that the use of second‐generation antipsychotics (SGA) may be of benefit to adolescents with comorbid mental health concerns (Baeza et al., 2017; Flament et al., 2012; Leggero et al., 2010). With inconsistent reporting of the use of medications and medication adherence, it is unclear how much of the reported psychological benefits of the program can be linked to the use of medication.
Most studies reported requiring clients to be medically stable upon ‘stepping down’ from inpatient service to ED‐DP, however many did not specify admission criteria for clients who 'stepped up' from outpatient service to ED‐DP. At present, there is little consensus about how decisions about moving clients across the continuum of ED services are made (Butterfly Foundation, 2015). The development of research evidence to inform criteria used for admission and discharge from ED‐DPs may build a clearer rationale for the use of such services. While specific expertise relating to FBT and other specific intervention approaches may be important, there is evidence to suggest that recovery‐oriented interventions – aimed at improving overall functioning rather than just focus on the remission of mental health symptoms – may be of benefit for clients (Dawson et al., 2014). An understanding of how professionals from different disciplines contribute to such recovery processes may help build the rationale for the need for an MDT in ED‐DPs.
5. CONCLUSION
The present review concluded, based on the best available research, that ED‐DPs for children and adolescents with EDs are beneficial in promoting physical and psychological recovery. It remains unclear which components of the DPs contribute to recovery. Variations exist between the outcomes or components of ED‐DPs and these can be attributed to the differing clinical and demographic profiles of the clients, issues related to the existing mental health service infrastructure within the country in which the DP was situated, the inclusion of novel interventions, and lack of evidence‐based practices with ED‐DPs. Innovations in the development of mental health services requires further evaluation and validation of the use of a continuum of care and greater consistency in the description of DP models and the children and adolescents accessing these services. The review highlights and supports the use of evidence‐based treatments, such as FBT‐informed care and CBT‐E within ED‐DPs. With increasing scrutiny over the use of health care resources, and the need for validated, evidence‐based practices, robust evaluation and reporting of such mental health services may help with advocating for the early intervention of conditions like EDs in children and adolescents.
6.
ACKNOWLEDGEMENT
Open access publishing facilitated by University of Southern Queensland, as part of the Wiley ‐ University of Southern Queensland agreement via the Council of Australian University Librarians.
Krishnamoorthy, G. , Shin, S. M. , & Rees, B. (2023). Day Programs for children and adolescents with eating disorders: A systematic review. European Eating Disorders Review, 31(2), 199–225. 10.1002/erv.2953
6.1. DATA AVAILABILITY STATEMENT
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
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Associated Data
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Data Availability Statement
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
