Abstract
Background:
Conventional forms of trauma-focused psychological interventions seem to be less effective in military veterans with post-traumatic stress disorder (PTSD). Equine Assisted Interventions (EAI) have become increasingly popular as an additional treatment, resulting in increasing research on the effects of EAI. However, no systematic review on the effects of EAI has focused on PTSD, anxiety and/or mood disorders and whether the effects are reflected in psychological and physiological measures. This systematic review investigated the treatment effects, study design, population, intervention, and psychological and physiological measurements in EAI research.
Methods:
The search strategy yielded 1028 original articles from 3 electronic databases: PubMed, Scopus, and CAB Abstracts. These articles were screened by 2 individual blinded researchers with Rayyan according to Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines and rendered 31 eligible studies.
Results:
Although all quantitative studies reported 1 or more positive treatment effects on symptoms of PTSD, anxiety and/or mood disorders, well-designed studies were sparse. This review demonstrated a lack of methodological information and few randomized controlled studies, in addition to a large heterogeneity in population characteristics, interventions, terminology, and questionnaires.
Conclusion:
Future studies should address these methodological considerations in order to advance the understanding of EAI and optimize their efficacy in treating PTSD, anxiety and/or mood disorders.
Main Points
The majority of the included papers on the effects of Equine Assisted Interventions (EAI) focus on post-traumatic stress disorder (PTSD) and use psychometric questionnaires such as a version of the post-traumatic stress disorder Checklist (PCL) questionnaire or the Clinician-Administrated PTSD Scale for DSM V (CAPS-5) to measure effects, whereas only a few include physiological parameters.
Although most papers found positive effects on symptoms of PTSD, anxiety, and/or mood disorders, methodological issues impede establishing the effectiveness of EAI.
Future studies should include randomized, controlled quantitative studies with a waitlist or positive control group that use physiological parameters in addition to psychometric parameters during pre-, mid-, post-treatment, and 3-month follow-up.
Attention should be paid to reporting complete information on participant selection and co-morbidity, dropout rates, and information on the psychotherapeutic elements of the EAI program.
Introduction
Post-traumatic stress disorder (PTSD) can be effectively treated with conventional forms of trauma-focused psychological interventions.1 However, this seems less effective in military veterans and war-affected populations.1 Equine-Assisted Interactions (EAI) have become increasingly popular as an additional treatment option for patients with mental and emotional health issues2,3 and seem effective in military veteran populations.4-6 The umbrella terms EAI or Equine-Assisted Activities and Therapies (EAAT) can be divided into different forms of treatment with a wide range of definitions, see e.g., Marchand et al7 for a nomenclature based upon the work of Hallberg.8 A distinction can be made between Equine Assisted Psychotherapy (EAP) and Therapeutic Horse Riding (THR), and there are 2 main associations EAI study programs adhere to: the Equine-Assisted Growth and Learning Association (EAGALA, https://www.eagala.org/) and the Professional Association of Therapeutic Horsemanship International (PATH Intl., https://pathintl.org/) that certifies instructors. Despite the development of specific terminology and the practical development of the field, research on EAI is still in its early stages.
Review articles on the effects of EAI are inconclusive regarding treatment effects and either focus on a broad range of mental and physical disorders or a very specific disorder, such as PTSD. Systematic reviews on the effectiveness of EAI that include studies on both mental and physical disorders, such as autism, ADHD, schizophrenia, eating disorders, multiple sclerosis, breast cancer, and stroke in children, adults, and elderly people, report equivocal evidence.7,9-11 Other more recent reviews on the effects of EAI on a specific mental disorder indicate that EAI seems to improve mental health and reduce PTSD symptoms.3,7 However, as the body of literature that reports these positive effects on mental health is sparse and reflects early scientific development, including methodological flaws, additional research is needed to draw more robust conclusions.3,7,12 Better insight into possible methodological pitfalls may provide advice for future studies on this topic. This calls for a thorough assessment of the study designs and methodologies used, including investigations of the study population, the intervention itself, and the measures used to determine treatment effects. To this day, no systematic review has been performed on the effectiveness of EAI on psychological disorders, including PTSD, anxiety, and/or mood disorders. This may reduce heterogeneity in the studies included in this review, as it focuses on a specific range of psychological disorders, and it may include a larger number of methodologically sound scientific studies compared to reviews that focus on PTSD only.
The physiological working mechanisms behind the effects of EAI in patients with PTSD, anxiety and/or mood disorders require further investigation as well. In EAI studies focusing on patients with neuromuscular disorders, physiological parameters have indicated improved physical functioning.13,14 A review on the psycho-physiological effects of Animal Assisted Interventions (AAI) proposed oxytocin as an underlying mechanism for beneficial effects of EAI on both mental and physical health.15 The neuropeptide oxytocin is released during social interactions that are perceived as positive and can reduce stress and improve mental and psychological welfare.16,17 Studies on dogs have indicated that interactions such as petting and stroking can lead to oxytocin production in both the animal and handler and a subsequent decrease of the stress hormone cortisol.18,19 Similar effects could occur during EAI. A review on the physiological effects of EAI showed a favorable effect on heart rate variability by activating the parasympathetic nervous system;20 however, this study included research focusing on a range of conditions and disorders. A review focusing on physiological, in addition to psychological measures of EAI, specifically addressing people with PTSD, anxiety and/or mood disorders seems lacking. Nevertheless, physiological measures may be an important measure in determining the effectiveness of EAI in people with PTSD, anxiety and/or mood disorders. Therefore, this systematic review investigates the study design, study population, intervention characteristics, measurements, and treatment effects in EAI research for PTSD, anxiety, and/or mood disorders. It focuses on both treatment outcomes and psychological and physiological measures.
Materials and Methods
Literature Search
This section provides a detailed account of the search strategy and search results according to Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines (https://www.prisma-statement.org/). In September 2022, the electronic databases PubMed (https://pubmed.ncbi.nlm.nih.gov/), Scopus (https://www.scopus.com), and CAB Abstracts (https://www.cabidigitallibrary.org/product/ca) were searched for relevant research articles. Search terms included: “therapeutic riding” OR “therapeutic horse*” OR “hippotherapy*” “therapeutic riding” OR “therapeutic horse*” OR “hippotherap*” OR “horseback riding therap*” OR “equine assisted*” OR “equine facilitated*” OR “equine therapy” OR “horse therapy”; and the [MeSH Term]: “equine assisted psychotherapy”. In Figure 1 a flow diagram of the search and articles retrieved and eliminated is presented, resulting in 1371 original research articles. The literature review tool Rayyan (https://www.rayyan.ai/) was used for screening the articles by 2 independent blind reviewers. A total of 1028 original research articles published after 1990 were included in the review process, of which 9 were not retrievable. These articles had English or German as the primary language. Reviews, meta-analyses, conference abstracts, books, or dissertations were not included, resulting in 352 excluded articles. All the included articles focused on the effects of EAI on patients with PTSD, anxiety, and/or mood disorders. Furthermore, 181 articles were excluded because they did not report on the therapeutic effects of horses. Articles that studied the effects of EAI on physical disorders (n = 164), autism (n = 47), addiction (n = 12), ADHD (n = 11), dementia (n = 7), Down Syndrome (n = 6), eating disorders (n = 4), Parkinson’s disease (n = 2), schizophrenia (n = 2), psychotic disorder (n = 2), and a group of other subjects that are not the right target population (n = 198) were excluded. This selection resulted in 31 eligible studies included in the current systematic review.
Figure 1.
Flow diagram of the identification, screening, and selection of eligible studies for this systematic review, according to Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. ADHD, attention deficit hyperactivity disorder; EAI, equine assisted interactions.
Literature Processing
This review focused on the type of study, the study population (sample), the intervention, the psychological and/or physiological measures, and the statistical significance of treatment effects. An overview of these aspects will be presented in Table 1. For the type of study, specific attention was given to whether the study was quantitative (considered if studies had >1 participant and used statistics), qualitative (case studies and/or studies that merely focused on subjective experiences), or included aspects of both. In addition, information was provided on the presence of a control group (CG) and, if so, whether group assignment was randomized. For the study population, attention was given to the sample size, dropout rate (focusing on attrition during the EAI program), age and gender of the participants, symptoms, and diagnosis of the participants (including selection criteria of symptoms/diagnosis), their comorbidities, and ongoing other treatments during the EAI program. For the intervention, the focus was on the number, frequency, and duration of sessions, the association the program adhered to (EAGALA or PATH), the type of EAI according to the paper (due to varying nomenclature), key elements, tasks with the horse (grooming, groundwork and/or riding), and whether the program used individual elements or elements of group therapy. For the psychological and physiological measures, it was assessed which questionnaires and/or physical measures were used in the studies. The assessment of statistical significance was restricted to effects retrieved with statistical methods (e.g., studies providing P-values or confidence intervals), and only expected for quantitative studies and not for case studies. These quantitative studies have a higher position in the pyramid of evidence and are considered of higher scientific quality and empirical evidence.21 Qualitative study outcomes, outcomes of single case studies, and clinically relevant outcomes that were not analyzed statistically were not reported as significant effects. Further attention was paid to group differences, if applicable. When statistics were used, but no treatment effects or group differences were found, this was also indicated. The above aspects could only be included in Table 1 if they were mentioned in the article.
Table 1.
General Descriptions of the 31 Included Studies Focusing on the Effects of EAI on Participants with PTSD, Anxiety and/or Mood Disorders. The table provides detailed information on the type of study, study population, intervention type, psychological measures, physiological measures, and the significant treatment effects. Apparent missing information could not be retrieved from the studies.
| Authors (year) | Research Design | Population | Intervention | Psychometric Parameters | Physiological Parameters | Significant Effects |
|---|---|---|---|---|---|---|
| Acri et al36 (2021) |
|
|
|
N/A | N/A | N/A |
| Alfonso et al22 (2015) |
|
|
|
Collected pre- and post-treatment, and 6-week follow-up:
|
N/A |
|
| Arnon et al27 (2020) |
|
|
|
Collected pre-, mid-, post-treatment and at 3-month follow-up:
|
N/A |
|
| Burton et al6 (2019) |
|
|
|
Collected pre- and post-treatment: CD-RISC, PCL-M |
Collected pre- and post-treatment:
|
|
| Chakales et al28 (2020) |
|
|
|
Collected pre- and post-treatment: BDI-II, ESF, PSS |
N/A |
|
| Craig47 (2020) |
|
|
|
|
N/A | N/A |
| Craig et al48 (2020) |
|
|
|
|
N/A | N/A |
| Earles et al29 (2015) |
|
|
|
Collected pre- and post-treatment:
|
N/A |
|
| Ferruolo39 (2016) |
|
|
|
Collected post-treatment:
|
N/A |
|
| Fisher et al30 (2021) |
|
|
|
Collected pre-, mid- and post-treatment and at 3-month follow-up:
|
N/A |
|
| Johnson et al23 (2018) |
|
|
|
TG+CG: Collected pre-, mid- and post-treatment CG: additionally 6 and 3 weeks pre-treatment
|
N/A |
|
| Johnson et al46 (2021) |
|
|
|
Collected post-treatment:
|
N/A | N/A |
| Lanning et al34 (2017) |
|
|
|
Collected pre-, mid- and post-treatment and at 2-month follow-up:
|
N/A |
|
| Lanning et al25 (2018) |
|
|
|
Collected pre-, mid- and post-treatment (all) and 2-months post-intervention (only TG):
|
N/A |
|
| Malinowski et al4 (2018) |
|
|
|
Collected pre- and post-treatment:
|
Collected before, during and after each session:
|
|
| McCullough et al35 (2015) |
|
|
|
Collected pre-, mid- and post-treatment:
|
N/A |
|
| Meyer & Sartori (2019) |
|
|
|
|
N/A | N/A |
| Monroe et al31 (2019) |
|
|
|
Collected pre- and post-treatment: BAI, BDI-II, PCL-M, RAAS, QOLI |
N/A |
|
| Mueller & McCullough (2017) |
|
|
|
Collected pre-, mid- and post-treatment:
|
N/A |
|
| Naste et al41 (2018) |
|
|
|
Collected at unspecified timepoints:
|
N/A | N/A |
| Nevins et al42 (2013) |
|
|
|
Collected: pre- and post-treatment and at follow-up after 2, 4, 6 and 12 weeks: BDI-II, MSSS, PCL-C, RSES, QOLI |
N/A | N/A |
| Romaniuk et al5 (2018) |
|
|
|
Collected pre- and post-treatment and at 3-month follow-up: DASS-21, OHQ, PCL-5, Q-LES-Q-SF |
N/A |
|
| Rosing et al44 (2022) |
|
|
|
1-2.5 hours long semi-structured in-depth interviews about the participant’s experiences in the original EAT program of about 3 years before | N/A | N/A |
| Schroeder & Stroud37 (2015) |
|
|
|
N/A | N/A | N/A |
| Shelef et al45 (2019) |
|
|
|
Collected pre- and post-treatment: SPRINT Collected pre-treatment, after 1 month and post-treatment: SDS |
N/A |
|
| Steele et al32 (2018) |
|
|
|
Collected pre- and post-treatment: DES, DTS, MIES, M-PTSD, PHQ-9, RAAS |
N/A |
|
| Sylvia et al49 (2020) |
|
|
|
Collected post-treatment:
|
N/A | N/A |
| Wharton et al38 (2019) |
|
|
|
Collected pre- and post-treatment: HABS, PCL-M, TRGI, WAI-SF |
N/A |
|
| Willmund et al24 (2021) |
|
|
|
Collected pre- and 6 weeks post-treatment: FPD (PL), LEC-5, PCL-5 (only to PTSD patients), PFB, PHQ (PHQ-9, PHQ-15 and PHQ-stress) |
N/A |
|
| Yorke et al43 (2008) |
|
|
|
2 semi-structured, audio taped interviews (each ~2 hours long), exploring experienced trauma and the human-horse relationship which was videotaped (30-60 minutes) and discussed | N/A | n/a |
| Zhu et al33 (2021) |
|
|
|
Conducted pre- and post-treatment and at 3-month follow-up: BDI-II, CAPS-5, HAM-D, PCL-5 |
Conducted pre- and post-treatment:
|
|
For abbreviations of the questionnaires see Table 2.
CG, control group; EAAT, Equine Assisted Activities and Therapies; EAGALA, Equine-Assisted Growth and Learning Association; EAP, Equine Assisted Psychotherapy; EAT, Equine Assisted Therapy; EFP, Equine Facilitated Psychotherapy; PATH, Professional Association of Therapeutic Horsemanship International; PTSD, post-traumatic stress disorder; TG, treatment group; THR, Therapeutic Horseback Riding.
A more detailed overview of all questionnaires used is given in Table 2, focusing on the name and abbreviation of the questionnaire, the number of items of the questionnaire, whether the questionnaire is self-reported or used by a clinician, the aim of the questionnaire, and which studies included in this review used a particular questionnaire. This was done to provide insight into which questionnaires are used in the field, which may aid standardization of future studies.
Table 2.
A List of Questionnaires Used to Investigate the Effects of EAI on Participants with PTSD, Anxiety and/or Mood Disorders. The table includes the name and abbreviation of the questionnaires, the number of items, whether it is self-reported or not, the aim of the questionnaire, and lists which studies in this review used the questionnaires. When the number of items is missing, it could not be retrieved from the study. The table differentiates between questionnaires used for adults and children.
| Name | Items | Reported | Aim | References | |
|---|---|---|---|---|---|
| Adults | |||||
| AUDIT | Alcohol Use Disorders Identification Test | 10 | Self | Alcohol consumption | Earles et al (2015) |
| BAI | Burns Anxiety Inventory | 33 | Self | Anxiety | Monroe et al (2019) |
| BDI-II | Beck Depression Inventory II | 21 | Self | Depression | Arnon et al (2020), Chakales et al (2020), Fisher et al (2021), Monroe et al (2019), Nevins et al (2013), Zhu et al (2021) |
| BSI | Brief Symptom Inventory | Self | Psychological distress | Malinowski et al (2018) | |
| CAPS | Clinician-Administrated PTSD Scale (IV: DSM-4, V: DSM 5) | Clinician | PTSD | Arnon et al (2020), Fisher et al (2021), Zhu et al (2021) | |
| CD-RISC | Connor-Davidson Resilience Scale | 25 | Self | Resilience | Burton et al (2019) |
| CSES | Coping Self Efficacy Scale | 26 | Self | Coping | Johnson et al (2018) |
| CSQ | Client Satisfaction Questionnaire | Self | Satisfaction | Arnon et al (2020) | |
| DASS-21 | Depression Anxiety Stress Scale-21 | Self | Depression, anxiety and stress | Romaniuk et al (2018) | |
| DERS | Difficulties in Emotion Regulation Scale | 36 | Self | Emotional arousal | Johnson et al (2018) |
| DES | Dissociative Experiences Scale | 28 | Self | Dissociation | Steele et al (2018) |
| DTS | Davidson Trauma Scale | 17 | Self | PTSD | Steele et al (2018) |
| ESF | Evaluation of Stress Factors (original 29 items: this study selected 12 items) | 12 | Self | Stress | Chakales et al (2020) |
| FFMQ | Five Facet Mindfulness Questionnaire | 39 | Self | Mindfullness | Earles et al (2015) |
| FPD (PL) | Fragebogen zur Partnerschaftsdiagnostik (Problemliste) | 23 | Self | Partnership quality | Willmund et al (2021) |
| GSE | General Perceived Self-Efficacy Scale | 10 | Self | Earles et al (2015) | |
| HABS | Human-Animal Bond Scale | 15 | Caregiver | Human animal bond | Wharton et al (2019) |
| HAM-D / HDRS | Hamilton Depression Rating Scale | 17 | Clinician | Depression | Arnon et al (2020), Fisher et al (2021), Zhu et al (2021) |
| LEC | Life Events Checklist for DSM-5 (LEC-5: version for DSM V) | 17 | Self | Potentially traumatic events in a respondent’s lifetime | Earles et al (2015), Willmund et al (2021) |
| LOT-R | Revised Life Orientation Test (LOT-R) is a . | 10 | Self | How optimistic or pessimistic people feel about the future | Earles et al (2015) |
| LSAS | Liebowitz Social Anxiety Scale | 24 | Self | Social anxiety | Alfonso et al (2015) |
| MDI | Major Depression Inventory | 10 | Self | Depression | Lanning et al (2018) |
| MIES | Moral Injury Events Scale | 11 | Self | Moral injury | Steele et al (2018) |
| M-PTSD | Mississippi scale for Combat-related PTSD | 35 | Self | Combat-related PTSD in veteran populations | Steele et al (2018) |
| MSSS | Modified Social Support Survey | 18 | Self | Support | Nevins et al (2013) |
| OHQ | Oxford Happiness Questionnaire | 29 | Self | Happiness | Romaniuk et al (2018) |
| PCI | Proactive Coping Inventory (original 55 items, this article selected 14-item pro-active coping subscale) |
14 | Self | Proactive approaches to coping | Earles et al (2015) |
| PCL | Posttraumatic Stress Disorder (PTSD) Checklist (PCL C: civilian, M:military, S: specific, 5: DSM V) |
17 | Self | PTSD | Arnon et al (2020), Burton et al (2019), Earles et al (2015), Fisher et al (2021), Johnson et al (2018), Lanning et al (2017 & 2018), Malinowski et al (2018), Monroe et al (2019), Nevins et al (2013), Romaniuk et al (2018), Wharton et al (2019), Willmund et al (2021), Zhu et al (2021) |
| PFB | Partnership Questionnaire | 30 | Self | Partnership quality | Willmund et al (2021) |
| PHQ | Patient Health Questionnaire (PHQ-9, PHQ-15, GAD-7: Generalized Anxiety Disorder, Stress) |
9, 15, 7, 10 | Self | Depression, somatic symptoms, anxiety, stress | Earles et al (2015), Steele et al (2018), Willmund et al (2021) |
| PSS | Perceived Stress Scale | Self | Stress | Chakales et al (2020) | |
| RAAS | Revised Adult Attachment Scale | 18 | Self | Attachment | Monroe et al (2019), Steele et al (2018) |
| RSES | Response to Stressful Experiences | 22 | Self | Resiliency | Nevins et al (2013) |
| SCID-5-RV | Structured Clinical Interview DSM V Research Version | Clinician | Psychiatric disorders | Fisher et al (2021), Zhu et al (2020) | |
| SDS | Sheehan Disability Scale | 3 | Self | Functional disability | Shelef et al (2019) |
| SELSA | Social and Emotional Loneliness Scale for Adults-short version | 15 | Self | Loneliness | Johnson et al (2018) |
| SF-36v2 | Quality of Life Assessment | 36 | Self | Quality of life | Lanning et al (2017 & 2018) |
| SPRINT | Short Post Traumatic Stress Disorder | 8 | Self | PTSD | Shelef et al (2019) |
| SSS | Social Support Scale | 27 | Self | Social support | Earles et al (2015) |
| SWLS | Satisfaction With Life Scale | 5 | Self | Life satisfaction | Earles et al (2015) |
| TEQ | Trauma Emotion Questionnaire | 18 | Earles et al (2015) | ||
| TRGI | Trauma-Related Guilt Inventory | 32 | Self | Trauma related guilt | Wharton et al (2019) |
| Q-LES-Q-SF | Quality of Life Enjoyment and Satisfaction Questionnare-Short Form | 16 | Self | Quality of life, enjoyment, and satisfaction | Arnon et al (2020), Romaniuk et al (2018) |
| QOLI | Quality of Life Inventory | 32 | Self | Quality of life | Monroe et al (2019), Nevins et al (2013) |
| WAI-SF | Working Alliance Inventory - Short Form | 12 | Self | Quality of alliance | Wharton et al (2019) |
| WHODAS 2.0 | World Health Organization Disability Assessment Schedule 2.0 | 36 | Functioning | Lanning et al (2017 & 2018) | |
| Children | |||||
| A-DES | Adolescent Dissociative Experience Scale | 30 | Self | Dissociation, age 12-18 years | Naste et al (2018) |
| ADI | Abbreviated Dysregulation Index | 30 | Self | Dysregulation | Naste et al (2018) |
| BRIEF-P | Behaviour Rating Inventory of Executive Functioning - Parent | 86 | Caregiver | Executive functioning | Naste et al (2018) |
| CAM | Children’s Alexithymia Measure | 14 | Parent | Recognizing and expressing feelings, age 5-17 years | Naste et al (2018) |
| CBCL | Child Behavioural Checklist | 120 | Caregiver | Functioning and behavior problems, age 6-18 years | Naste et al (2018) |
| CDC-3 | Child Dissociation Checklist | 20 | Parent | Dissociation | Naste et al (2018) |
| CDI-2 | Children’s Depression Inventory | 28 | Self | Depression, age 7-17 years | Naste et al (2018) |
| CRIES-13 | Children’s revised inventory of Events Scale | 13 | Self | PTSD | McCullough et al (2015), Mueller & McCullough (2017) |
| HABS | Human-Animal Bond Scale | 15 | Caregiver | Human animal bond | McCullough et al (2015), Mueller & McCullough (2017) |
| PTSD-RI | UCLA-PTSD Stress Reaction Index | 31 | Self | PTSD | Naste et al (2018) |
| SAM | Somatic Awareness Measure | 24 | Self | Bodily and somatic awareness | Naste et al (2018) |
PTSD, post-traumatic stress disorder.
Results
Treatment Effects
Controlled studies investigating the effects of EAI were sparse, but overall indicated positive treatment outcomes. Most of the controlled studies found treatment effects restricted to the treatment group (TG) that received EAI.6,22-24 One study directly compared the TG and the CG and found significantly larger post-treatment effects on quality of life (mental components and vitality) in veterans with PTSD in the TG compared to the CG.25 The CG participants in these studies did not receive additional therapy or they continued already ongoing therapy that was also allowed in the TG, indicating beneficial effects of EAI. Mueller et al26 did not find differences between a TG and a CG that received conventional therapy. Both groups showed PTSD symptom reduction, suggesting that EAI did not provide additional effects.
Most studies investigated the effects of EAI based on questionnaires and found less severe symptoms of post-traumatic stress, less severe symptoms of depression or impairment on daily life,5,24,27-33 less severe symptoms of anxiety,5,22,29,31 improved quality of life5,25,27,31,34 and less stress4,5,28 (see Table 1). Significant treatment effects were less evident in the few studies that used physiological measures. Burton et al6 did not find significant differences in salivary cortisol in participants with PTSD pre- and post-treatment, or between the TG and CG. Malinowski et al4 only found a significant reduction of heart rate on day 2 during the EAI session, which was explained by the calmer type of activity conducted on that day. Zhu et al33 found structural and functional changes in the basal ganglia/limbic network (reward circuitry) post-treatment, and this was positively associated with clinical improvements. These findings suggested that enhanced reward responsiveness may underlie clinical improvements.33
Most studies investigated treatment effects of EAI over time and found 1 or multiple psychological effects comparing post- to pre-treatment (see Table 1). Some studies also investigated significant treatment effects at mid-treatment, and most of these found effects evident from mid-treatment23,27,30,34 and/or additional treatment effects from mid- to post-treatment.23,27,30 Two studies that found treatment effects post-treatment did not find effects at mid-treatment.26,35 The studies that investigated follow-up effects showed that there was a follow-up effect compared to pre-treatment or that post-treatment effects were maintained at follow-up.5,22,27,30,33,34 See Table 1 for details. To objectively assess the effectiveness of EAI, this review not only discusses the treatment effects found by included studies but also puts the results into perspective by investigating the methodology.
Research Designs
The majority of the studies were from the last decade and had a quantitative approach (see Table 1). Eleven studies were considered qualitative (see Table 1) and 1 multi-method study included both qualitative and quantitative elements.34 Some qualitative studies also investigated the development and application of EAI programs36,37 or their feasibility.38 The quantitative studies that included a CG either used a no-treatment CG,22,24 a wait-list CG,23 or a treatment as usual CG.6,25,26 Half of the controlled studies randomly assigned the participants to the different groups.22,23,26
Study Population
The sample size of the included studies differed greatly, but 8 studies had a relatively small sample size (n <10).4,27,37,39-43 Sometimes studies mentioned the sample size without including dropout rate, and sometimes the dropout rate was not clearly described at all (see Table 1). This hinders a clear summary of the sample sizes and dropout numbers in this review. In half of the studies that did mention dropout rates, the dropout rate was relatively small (<10%),22,30,33,35,38,44 ranging up to 10 of 23 participants (indicating 43%) in the study of Shelef et al45 Furthermore, some studies in this review seem to have reused samples from other studies, based on comparable study descriptions and authorship.23,25,34,44-48 Studies on military veterans are overrepresented in this review.4-6,23,25,27,30-34,38-40,44,46,49 and mostly focused on PTSD. Most studies investigated the effects of EAI on adult participants, but some on children (age <18).26,35,36,41,47,48 Overall, the gender of the participants was skewed to males, especially in veteran studies (see Table 1).
The selection criteria of the research populations varied and were not always clear. Assessment of eligibility for participation varied, as some studies used self-reported symptoms or questionnaires (e.g. 5,22,31,34), while others used a clinician to assess symptoms or to confirm diagnosis (e.g. 27,30,33). A diversity of questionnaires was used to assess symptoms and diagnoses (Tables 1 and 2). Across studies, cut-off scores for diagnosis were not always the same even when they used the same questionnaire6,31 and some studies did not report which cut-off scores were used (e.g. 34,38). Multiple studies indicated co-morbidity, such as military veterans that were physically or psychologically injured,5 patients with PTSD that also had brain injury,23,49 or a broader range of symptoms including anxiety, depression, eating disorders, and self-harming behaviour.47,48 In addition, some studies allowed participants that had other (ongoing) treatment (such as psychotherapy, pharmacotherapy, and supportive therapy) during the EAI programs.6,25,29,30,33,34,39,42,44,45 The level of detail about ongoing treatment varied, as well as the number of participants on a certain treatment (see Table 1).
Intervention
The timespan of the program, the duration, and frequency of the sessions varied greatly, but generally, programs entailed 6-8 sessions of 1-3 hours on average (see Table 1). Although most programs were given on a weekly basis, some entailed multiple days where the participants resided on site.5,24,32 A clear description of the program and/or a classification of the interventions was not always provided. About half of the studies adhered to either EAGALA models or used PATH certified instructors.4,23,25,26,28,34,36,37,46 Articles also differed in the terminology used to describe their program. Many used similar umbrella terms such as Equine Assisted Therapy (EAT) or EAAT (see Table 1). Some used the term EAP,6,32,47,48 others Equine Facilitated Psychotherapy (EFP),26,35,40,41 some Equine-Facilitated Mental Health Therapy,39 and a few papers used THR.23,25,34,46 Articles described different psychotherapeutic elements within their programs, such as experiential therapy,5,24,27,30,35,37,39 cognitive behavioral (therapy, processing or strategies),22,25,26,31,35-39 and relaxation techniques, mindfulness and/or yoga.4,5,27,28,32,36,39,49
In most studies, EAI programs included groundwork and grooming (see Table 1), and a smaller number included riding.22,26,31,36,41,43-45,49 A few studies did not clearly state what activities were included in their program.33,35,39,47,48
Most of the included papers indicated that their program included group elements (see Table 1) and a few (also) included individual elements.22,29,38,42 Eight papers did not (clearly) mention whether there were any individual or group elements.4,23,35,41,43,46-48
Psychological Measures
All studies included psychological measures such as the use of questionnaires or open interviews, except the studies that focused on the development of EAI programs.36,37 Most studies that investigated PTSD in adults used a version of the PCL questionnaire, such as the PCL-5,4,5,24,25,27,30,33,34 the PCL-M,6,23,25,31,34,38 the PCL-S29 or the PCL-C.42 To a lesser extent, PTSD symptoms were measured by the CAPS-5,27,30,33 the M-PTSD,32 the DTS,32 and the SPRINT.45 Other questionnaires related to trauma were the Moral Injury Events Scale for moral injury,32 LEC for trauma history24,29 and Trauma-Related Guilt Inventory for trauma-related guilt.38 Most papers that focused on evaluating depression in adults, used the BDI-II27,28,30,31,33,42 and to a lesser extent the HAM-D/HDRS,27,30,33 PHQ-9,24,29,32 DAS-215 and MDI.25 Dissociation in adults was measured with DES.32 The human-animal bond was assessed with the HABS.26,35,38 Anxiety was assessed by the GAD part of the PHQ,29 the BAI,31 DAS-215 and LSAS.22 Several questionnaires that focused on quality of life (including life satisfaction and happiness) were the Q-LES-Q-SF,5,27 QOLI,31,42 SWLS,29 OHQ5 and SF-36V2.25,34 Resiliency was measured by the CD-RISC6 and RSES.42 Functioning was assessed with SDS45 and WHODAS.25,34 Other questionnaires, that were used for children or were only used once by the studies in this review, as they addressed specific aspects of (mental) health (e.g., relationship quality, expressing feelings, behavioral problems), can be found in Table 2.
Physiological Measures
Very few papers included physiological measures to investigate the effects on EAI on humans with anxiety and mood disorders.4,6,33 Burton et al6 measured salivary cortisol in participants with PTSD at the start and end of the program. Malinowski et al4 measured heart rate, respiration rate, and systolic and diastolic blood pressure before, during, and after each session in veterans with PTSD. Zhu et al33 is the only scientific study that used neuroimaging techniques to investigate the effects of EAI on humans with PTSD. Measurements occurred pre- and post-treatment and included resting-state fMRI (rs-fMRI), structural magnetic resonance imaging (sMRI), and diffusion tensor imaging to measure neural changes following EAI. For more detailed information see Table 1.
Discussion
The aim of this systematic review was to determine the effects of EAI on patients with PTSD, anxiety and/or mood disorders. Furthermore, this review provided insight into the research designs, study populations, the interventions, and the psychological and physiological measures used. Although all quantitative studies within this review that used psychological measures found 1 or more positive treatment effects on symptoms of PTSD, anxiety and/or mood disorders, well-designed studies were sparse. Treatment effects were less evident for the few studies that used physiological measures. Due to methodological issues, interpretation of study results could be a dark horse bet and should be done carefully. These issues will be discussed below, and possible solutions and future directions will be provided.
Research Design
This review shows that poor research design is still an important issue within the field of EAI. Eighteen quantitative studies, twelve qualitative studies, and 1 multimethod study were included. Quantitative studies with a randomized CG are of higher quality evidence for clinical decision-making,21 but in this review, many of these studies showed limitations such as a small sample size, lack of CGs, no randomization, and/or no long-term follow-up. Other reviews that measured the effects of EAI on a wide range of mental disorders9-11 and PTSD specifically3,7,12 also emphasized the early development of the field with resulting methodological flaws and the need for randomized controlled trials. Randomizing a research design addressing military veterans with PTSD may be difficult since participants may indicate that they do not want to be part of a process where they or their comrades would not receive treatment.25 Veterans specifically are more likely to participate when everyone will receive active treatment.50 Practical solutions could be comparing a randomized wait-list CG to a TG and then giving the CG treatment afterward as part of the trial,23 or a positive CG in which participants receive conventional treatment without a horse present. Additionally, this may provide insight into the working mechanisms of EAI, as it allows to investigate the effects of the presence of a horse separately from other program components.
Study Population
The included papers show ambiguity in dropout rates, selection criteria, co-morbidity inclusion, and ongoing other treatments. Studies were often based on small sample sizes, and high dropout rates may decrease the power of the study even more. It is often not clearly described what the dropout rate was, and there was a large variability in the dropout rates that were mentioned. Reporting dropout rate and the definition of it is important because results may be biased towards participants that completed the program and completed all measurements. This issue was also addressed by Varker et al,51 who found that only 7% of studies properly defined dropout and that only half of the included studies mentioned reasons for dropout. Literature indicates a higher dropout rate in military populations with PTSD compared to other populations51 and, for this population, a higher dropout for trauma-focused therapy compared to non-trauma-focused therapy.51,52 The meta-analysis of Imel et al53 showed that for non-trauma-focused treatment, dropout ranged from 0% to 48%, which is comparable to the range in dropout rate in this review. This indicates the potential of EAI programs having relatively low dropout rates compared to conventional therapy.
This systematic review showed large differences in inclusion criteria, and the words “symptoms” and “diagnosis” are sometimes unclear and interchangeably used. This also suggests a difference in symptom severity in participants. Differences in symptom severity may also occur within a certain disorder; for example PTSD may differ from chronic and/or therapy-resistant PTSD. In addition, it is not always clear by whom and on what grounds the diagnosis was made, but the type and validity of questionnaires varied, as well as the cut-off points that were used. This further emphasizes the recommendation of Boss et al3 to standardize the set of psychometric instruments used and stresses the importance of a proper description of admission criteria for future repeatability. To aid this, the review provided a table with questionnaires mostly used in research on EAI. In this review, 6 out of 17 studies that found significant treatment effects allowed other ongoing treatments outside EAI. This makes it questionable to attribute the positive treatment effects only to EAI in these studies. Detailed information on comorbidity within the study population is important, as this may affect treatment outcomes. In conclusion, it is recommended for future studies to have a sufficiently large sample size to reach statistical power, provide information on dropout rates and their definition, use clear selection criteria based on diagnoses with the recommended questionnaires in this review, provide information on comorbidity, and exclude patients that have ongoing other treatments.
Intervention
Willmund et al. (2021) showed that not only veterans benefited from EAI interventions, but also their partners showed improved somatic symptoms and improved relationship quality. In addition, in children who experienced maltreatment social support from family members mediates the symptom severity of PTSD. This may indicate that social support is important and that involving the partners of the patients may be more effective in reaching long-term effects, because the system around the participant changes as well.
The current review showed a large variety in frequency and duration of EAI, the used nomenclature, the type of (psycho)therapeutic interventions, the type of practical exercises with the horse, and whether the program contained individual or group elements. Standardization and reporting on these aspects are essential to make future studies on EAI repeatable, comparable, and of higher quality, leading to more effective implementations of EAI programs. This review showed that most programs entailed 6-8 sessions of 1-3 hours. This is in line with the study of Marchand et al,7 that proposed a standardized model EAI intervention for PTSD based on 6 sessions of 2 hours. However, a dose-response curve for EAI is currently unknown. In addition, this review showed that a clear description of the program is often not provided, and it is unclear what type of psychotherapeutic interventions and/or practical exercises were included. Marchand et al7 pleaded for the use of a standardized nomenclature based on the work of Hallberg.8 In contrast, it is recommended to use standardized terms to classify EAI within conventional therapeutic nomenclature. This would enable EAI to connect with conventional therapy, instead of dismissing it as an alternative therapeutic intervention. For example, several studies within this review could be classified as non-trauma-focused therapy, as they sometimes include relaxation techniques or mindfulness. Other studies could be classified as trauma-focused therapy as they include cognitive-behavioral therapeutic interventions. Therefore, EAI might be classified as an additional non-trauma-focused therapy that may include (trauma-focused) psychotherapeutic elements.
So far, trauma-focused therapies such as cognitive-behavioral therapy or exposure therapy are the first choice and seem effective in PTSD patients.1,54 However, certain populations, such as military veterans, experience reduced improvement after these conventional types of therapy.1 Additionally, trauma-focused therapies may have higher dropout rates and poorer treatment compliance due to the aversive nature of the procedures, which drives the need for alternative treatment options.54 Non-trauma-focused therapies such as mindfulness can be clinically useful in patients with PTSD,55-57 and could be incorporated into empirically supported treatments.58 This is in line with the study by Burton et al6 that combined EAI with standard treatment and found additional effects of EAI on resilience. Although more research is needed, this suggests that EAI can be incorporated into standard (trauma-focused) therapies and may render additional effects.
This review showed insufficient reporting considering the activities and/or elements included in the EAI program. This hindered drawing conclusions on these aspects based on this review. Marchand et al7 recommended an intervention model without riding due to the associated risk and complexity with riding, and the lack of evidence that riding has additional positive effects. This review does not provide evidence that riding had additional effects or not. It could be a focus for future studies to investigate the efficacy of specific EAI elements, as this could provide more insight into the working mechanisms of EAI. In addition, investigating differences between individual and group-based EAI programs would be a starting point to indicate whether social support from other participants may contribute to the effects.
Measures
This review provided insight into questionnaires that are mostly used for certain mental disorders. Standardizing the use of these questionnaires as psychological measures should promote comparability and repeatability in the future. It is recommended to collect measures at least at pre-, mid-, and post-treatment, at 3-month follow-up, and preferably also after a year to investigate long-term effects. Establishing a dose-response curve is needed to optimize treatment efficacy while minimizing participant investment and program costs.
The current review also showed that it is not customary to use physiological measures when determining the effects of EAI in human patients. Only 3 studies in this review combined psychological measures with physiological measures. Although psychometric self-reports are seen as the gold standard in assessing PTSD symptoms, these results can be compromised by memory, emotional, or cultural bias.59 Using psychophysiological measures can be complementary, as heart rate, heart rate variability, skin conductance, electromyography (EMG), and blood pressure are potential autonomic indices of emotion regulation and treatment related changes.59-61 More research on the physiological effects of EAI may be especially important as the stress-reducing effect of oxytocin is a hypothesized working mechanism of AAI.15 For example, petting and stroking dogs led to oxytocin production and a subsequent decrease of the stress hormone cortisol in their human owners.18,19 This finding is consistent with other findings in the literature that illustrated a decrease in subjective arousal and heart rate when petting horses.62 Including psychophysiological measures will contribute to the comparability of studies, expose mechanisms of action7,12 and further substantiate the effects found by psychological measures.
Limitations
The main limitations of this review are that the number of rigorous studies included is small and essential information was lacking. By keeping the search strategy broad, most papers on the subject should have been retrieved, but papers published after September 2022 might have been missed. Another limitation of this review is that it is likely that published studies tend to bias towards reporting positive results, and negative effects tend not to be published, which may also affect the results of this review. Other sources of bias may include the overrepresentation of male military veterans. Participants were self-selected, leading to a bias towards people who are willing to work on their mental health and feel attracted to the program. This review included both qualitative and quantitative studies, but the reported treatment effects focused mainly on the quantitative studies, which used statistical methods. Treatment effects from the qualitative studies were considered to contain lower empirical evidence. Nevertheless, these qualitative studies may provide valuable information on the effects of EAI.
Although EAI seems to be promising in reducing symptoms in participants with PTSD, anxiety and/or mood disorders, there are many methodological issues that impede establishing the effectiveness of EAI. Within this review, there is a lack of well-designed quantitative studies that use randomized and controlled setups, and there is a large heterogeneity in how the effects of EAI are measured and reported. A waitlist or positive CG could be a practical solution for future studies. In addition, participant selection should be improved by standardizing questionnaires and using solid criteria, but also by excluding ongoing conventional treatments of the participants. Future studies should also improve their reporting on methodologies, such as dropout rates, comorbidity, and the included (psycho)therapeutic elements and activities in the program. In order to prevent EAI from being dismissed as an alternative intervention, it is recommended to use terms within conventional therapeutic nomenclature (e.g., trauma-focused and non-trauma-focused) to classify EAI. Optimizing the field of EAI requires establishing a dose-response curve and investigating which elements are required for optimal treatment outcomes, both regarding program activities and individual vs. group-based programs. It is therefore recommended that future studies include measurements at pre-, mid-, and post-treatment, at 3-month follow-up, and preferably also after a year to investigate long-term effects. By using physiological measures in addition to psychological measures, bias could be reduced, and psychometric results could be placed into perspective.
Funding Statement
This study was funded by Vrienden Diergeneeskunde, Dr. C.J. Vaillantfonds, K.F. Hein Fonds, and Karel Doormanfonds. These funding bodies did not have any influence on the design, data collection, analysis, or interpretation of the results within this study.
Footnotes
Peer-review: Externally peer-reviewed.
Author Contributions: Concept – C.K.; Design – C.K., N.R.; Supervision – B.R., E.V., N.E.; Resource – C.K., N.R.; Materials – C.K., N.R.; Data Collection and/or Processing – C.K., N.R.; Analysis and/or Interpretation – C.K., N.R.; Literature Search – C.K.; Writing – C.K., N.R.; Critical Reviews – B.R., E.V., N.E., M.H., R.vH.
Acknowledgements: The authors would like to thank Felix Weijdema for his help in defining a search strategy.
Declaration of Interests: Eric Vermetten is an Associate Editor at Psychiatry and Clinical Psychopharmacology, however, his involvement in the peer-review process was solely as an author. The other authors have no conflict of interest to declare.
Data Availability Statement:
The data that support the findings of this study are available on request from the corresponding author.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available on request from the corresponding author.

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