Literature DB >> 32002136

'Help for trauma from the app stores?' A systematic review and standardised rating of apps for Post-Traumatic Stress Disorder (PTSD).

Lasse Bosse Sander1, Johanna Schorndanner1, Yannik Terhorst2,3, Kerstin Spanhel1, Rüdiger Pryss4, Harald Baumeister3, Eva-Maria Messner3.   

Abstract

Background: Mobile health applications (apps) are considered to complement traditional psychological treatments for Post-Traumatic Stress Disorder (PTSD). However, the use for clinical practice and quality of available apps is unknown. Objective: To assess the general characteristics, therapeutic background, content, and quality of apps for PTSD and to examine their concordance with established PTSD treatment and self-help methods. Method: A web crawler systematically searched for apps targeting PTSD in the British Google Play and Apple iTunes stores. Two independent researchers rated the apps using the Mobile App Rating Scale (MARS). The content of high-quality apps was checked for concordance with psychological treatment and self-help methods extracted from current literature on PTSD treatment.
Results: Out of 555 identified apps, 69 met the inclusion criteria. The overall app quality based on the MARS was medium (M = 3.36, SD = 0.65). Most apps (50.7%) were based on cognitive behavioural therapy and offered a wide range of content, including established psychological PTSD treatment methods such as processing of trauma-related emotions and beliefs, relaxation exercises, and psychoeducation. Notably, data protection and privacy standards were poor in most apps and only one app (1.4%) was scientifically evaluated in a randomized controlled trial. Conclusions: High-quality apps based on established psychological treatment techniques for PTSD are available in commercial app stores. However, users are confronted with great difficulties in identifying useful high-quality apps and most apps lack an evidence-base. Commercial distribution channels do not exploit the potential of apps to complement the psychological treatment of PTSD.
© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Entities:  

Keywords:  Post-traumatic stress disorder (PTSD); apps; eHealth; mobile health; review

Year:  2020        PMID: 32002136      PMCID: PMC6968629          DOI: 10.1080/20008198.2019.1701788

Source DB:  PubMed          Journal:  Eur J Psychotraumatol        ISSN: 2000-8066


Introduction

Post-traumatic stress disorder (PTSD) is a prevalent condition with an estimated cross-national lifetime prevalence of 3.9% in the general population and 5.6% in trauma exposed people (Koenen et al., 2017). The average incidence rate after experiencing trauma is estimated at 15.9% (Alisic et al., 2014). PTSD is associated with substantial disease burden for individuals, families, and communities (American Psychiatric Association, 2013; Bromet, Karam, Koenen, & Stein, 2018; Kessler et al., 2009; Miller & Sadeh, 2014; Sareen, 2014; Walker et al., 2003). Evidence-based psychological treatment methods for PTSD include trauma‐focused cognitive behavioural therapy, prolonged exposure therapy, cognitive processing therapy, narrative exposure therapy, and eye movement desensitization and reprocessing (EMDR) (Bisson, Roberts, Andrew, Cooper, & Lewis, 2013; Charney, Hellberg, Bui, & Simon, 2018; Mueser et al., 2015; National Institute for Health and Care Excellence [NICE], 2018). Cognitive behavioural therapy with a trauma focus typically involves psychoeducation, homework, exposure and cognitive work as well as relaxation and stress management techniques (Berliner et al., 2019). In addition to psychological treatment methods, self-help guides have been developed to help people cope with traumatic experiences (Northumberland, Tyne and Wear [NHS], 2016). Thus, several effective treatments have been developed; however, mental healthcare for PTSD remains insufficient across countries (Kazlauskas et al., 2016; Koenen et al., 2017; Sareen, 2014). Treatment-seeking is low and delayed, and the supply of treatment itself is insufficient even in countries with a generally appropriate health system (Koenen et al., 2017; Zammit et al., 2018). Main barriers to seeking professional help after trauma include limited resources on the part of the health system, and on the part of the affected person, time constraints, a lack of knowledge about services, fear of negative social consequences, stigma, and shame (Kantor, Knefel, & Lueger-Schuster, 2017). Mobile health applications (apps) are often utilized to complement established treatment methods and to improve treatment accessibility (Bakker, Kazantzis, Rickwood, & Rickard, 2016; Donker et al., 2013). They can be administered independent of time and place at relatively low costs (Boulos, Brewer, Karimkhani, Buller, & Dellavalle, 2014; Hussain et al., 2015), can provide information about mental healthcare, and can be used anonymously, which might be appealing to those who fear stigmatization (Andrade et al., 2014; Donker et al., 2013). In addition, in blended care models, apps can improve psychological treatment approaches through functions like activity and symptom monitoring, mobile sensing, or automatically displayed tiny tasks in everyday life, which repeat contents of the therapy (Donker et al., 2013; Ebert et al., 2018). Today, mental health apps are available in abundance in commercial app stores, including apps for PTSD and related disorders, and they are used by the general public (Owen et al., 2015). However, the usage of apps is also accompanied by several risks and challenges including privacy and data protection risks as well as the lack of an informed consent (Hussain et al., 2015; Luxton, McCann, Bush, Mishkind, & Reger, 2011), possible harms in case of device failure, especially for patients relying on functional apps (Luxton et al., 2011), and a low quality of evidence of effectiveness as well as the absence of quality standards for the development of apps (Byambasuren, Sanders, Beller, & Glasziou, 2018; Hussain et al., 2015; Olff, 2015). Therefore, this systematic review aimed to evaluate the content and quality of PTSD apps available on the Google Play and Apple iTunes stores and to set them in perspective with established psychological treatment methods for PTSD.

Method

Search strategy and selection procedure

A web crawler (an automated web search engine) was used to systematically screen the British Google Play and Apple iTunes stores with trauma-related search terms (‘trauma’, ‘post-traumatic stress disorder’, ‘traumatic stress’, ‘moral injury’, ‘post traumatic neurosis’, and ‘flashback’). The identified apps were screened and downloaded if the title or description indicated that the app was (a) conceptualized for mental disorders, (b) provided in the English or German language (in accordance with the authors’ language skills), and (c) officially available in the British Google Play or Apple iTunes stores. Downloaded apps were eligible for inclusion if (a) they focused on PTSD, contained a PTSD-specific section, or were useful for PTSD according to the app store description, and (b) they were fully functional to enable an assessment. Dead links were retrieved multiple times and technical problems (e.g. app does not start) were verified on at least two separate devices.

Quality rating

Two independent reviewers (students and graduates of clinical psychology (JS, KS) trained and supervised by a licenced psychotherapist (LS)) acquired and evaluated the data of the included apps using the German version of the Mobile App Rating Scale (MARS-G) (Messner et al., 2019; Stoyanov et al., 2015). The MARS-G is a reliable and valid scale for the quality assessment of apps (Messner et al., 2019). The overall MARS-G score shows a good internal consistency (ω = .82, 95%-confidence interval (CI): .76 to .86) and a high intraclass-correlation (Fleiss, 1999) (ICC: .83, 95%-CI: .82 to .85) (Messner et al., 2019). The subscales demonstrate internal consistencies ranging from acceptable to excellent (ω = .72 to .93) (Messner et al., 2019). The quality rating of the MARS-G is based on a 5-point scale (1-inadequate, 2-poor, 3-acceptable, 4-good, and 5-excellent) and includes 19 items that are divided into four subscales: (A) engagement (5 items: fun, interest, individual adaptability, interactivity, target group), (B) functionality (4 items: performance, usability, navigation, gestural design), (C) aesthetics (3 items: layout, graphics, visual appeal), and (D) information quality (7 items: accuracy of app description, goals, quality of information, quantity of information, quality of visual information, credibility, evidence base). For the evaluation of the overall quality, the total score was determined from the four main subscales (Stoyanov et al., 2015). Mean scores (M) and standard deviations (SD) were calculated for the MARS total scores and subscales. In addition to the four subscales used for the quality rating, three additional categories were assessed in accordance with the MARS-G (Messner et al., 2019): (E) therapeutic gain (4 items: gain for patients, gain for therapists, risks and side effects, ease of implementation into routine healthcare), (F) subjective quality (4 items: recommendation, frequency of use, willingness to pay, overall star rating), and (G) perceived impact (6 items: awareness, knowledge, attitudes, intention to change, help seeking, behavioural change). Prior to the rating process, the reviewers underwent an online training (https://www.youtube.com/watch?v=5vwMiCWC0Sc&t=1367s, last updated on 31 July 2019). In the training, the subscales of the MARS-G rating are presented, the scoring is explained, and an app can be rated in an exercise. The interrater reliability (IRR) between the reviewers was calculated using the ICC. If the ICC had fallen below a minimum value of .75 (Fleiss, 1999), a third reviewer would have been called in. The two ratings of each app were averaged for all calculations.

User star ratings

User ratings (one to five stars) were extracted from the app stores. Means and standard deviations were calculated for the user ratings and bivariate correlations between the user ratings and the means of the MARS total score and subscales were calculated, whereby only user ratings with a minimum number of three ratings were included in the analyses.

General characteristics

The classification section of the MARS-G captures descriptive information of apps and was slightly modified in this study to cover the following dimensions: (a) app name, (b) platform (android or iOS), (d) content-related subcategory, (e) specific target group, (f) price, (g) provision of important information (e.g. information on how to find therapy, emergency contact), (h) embedded in a therapeutic programme, (i) technical aspects, (j) data protection and privacy, (k) user rating, (l) number of conducted randomized controlled trials (RCT). We searched for evaluation studies on the manufacturers’ homepage, in the description in the app stores, the app itself as well as google scholar and Medline.

Therapeutic background and content

The therapeutic background and content of the apps were captured using the MARS-G. The following therapeutic backgrounds were distinguished: (a) behaviour therapy, (b) cognitive behavioural therapy, (c) third-wave behaviour therapy, (d) systemic therapy, (e) psychodynamic psychotherapy, (f) humanistic therapy, (g) integrative therapy, and (h) other. Moreover, the presence of the following contents has been investigated: (a) information/psychoeducation, (b) assessment, (c) monitoring and tracking, (d) feedback, (e) skill training, (f) exposure, (g) mindfulness, (h) relaxation, (i) breathing, (j) body exercises, (k) resource orientation, (l) tips and advices, and (m) other.

Concordance with treatment and self-help methods for PTSD

We derived key components of psychological treatment from scientific literature (Beck & Sloan, 2012; Charney et al., 2018; Schnyder et al., 2015; Watkins, Sprang, & Rothbaum, 2018), and self-help methods for PTSD from specialized literature (Beck & Sloan, 2012; NHS, 2016). Apps that were specifically developed for PTSD and had a MARS total score in the upper quartile of all included apps (high-quality apps) were compared with the treatment methods identified (see Appendix).

Results

Search

Figure 1 displays the process of inclusion. From 555 identified apps, a total of 69 apps (12.4%) were included in the analyses. 23 apps (33.3%) were developed for iOS, 11 apps (15.9%) for android, and 35 apps (50.7%) for both operating systems.
Figure 1.

Flowchart of inclusion.

Flowchart of inclusion. The general characteristics of the included apps are shown in detail in Table 1. The majority of the apps were specifically developed for PTSD or contained a PTSD-specific section (n = 54 (78.26%)), were not embedded in a therapeutic programme (n = 59 (85.5%)), and were free of charge (n = 55 (79.7%)). The costs of the 14 apps (20.3%) that required payment ranged from EUR 2.29 to EUR 38.99 (M = 8.24, SD = 10.1). The most frequent specific target group of the included apps for PTSD were soldiers and veterans (n = 13 (18.8%)).
Table 1.

Descriptive data for the apps included in the MARS-G rating.

 n (%)M (SD)
Subcategories  
 A) specifically developed for post-traumatic stress disorder (PTSD) or trauma-related symptoms37 (53.6%) 
 B) containing a PTSD-specific section17 (24.6%) 
 C)non-specific for PTSD, but useful for PTSD according to the app store description15 (21.7%) 
 D)relaxation techniques (supplementary)14 (20.3%) 
Specific target groups  
 Soldiers or veterans13 (18.8%) 
 Family members (of people with PTSD)8 (11.6%) 
 Clinicians4 (5.8%) 
 Children2 (2.9%) 
 Police officers or public safety professionals2 (2.9%) 
Obligatory payment14 (20.3%)€ 8.24 (10.08)
 iTunes10 (14.5%)€ 9.40 (11.02)
 Google Play4 (5.8%)€ 5.34 (4.47)
Provision of the following information:  
 Indication of no substitute for treatment44 (63.8%) 
 Information on how to find therapy31 (44.9%) 
 Emergency contact29 (42.0%) 
Inclusion in a therapeutic programme  
 Blended care10 (14.5%) 
 Communication with clinician8 (11.6%) 
 Sharing of content with the clinician9 (13.0%) 
 Module assignment by clinician1 (1.4%) 
Technical features  
 Reminder functions20 (29.0%) 
 Sharing functions17 (24.6%) 
 Exchange with others10 (14.5%) 
 Network (via app community)7 (10.1%) 
Security & privacy  
 Password7 (10.1%) 
 Login7 (10.1%) 
 Data protection declaration12 (17.4%) 
 Informed consent17 (24.6%) 
 Passive informed consent9 (13.0%) 
 Information about financing15 (21.7%) 
 Contact, contact person or imprint51 (73.9%) 
 Guaranteed security of data transfer4 (5.8%) 
 Emergency functions11 (15.9%) 
 Safety strategies in case of loss of the device1 (1.4%) 
User ratings  
 iTunes--
 Google Play27 (39.1%)4.20 (0.65)
Randomized controlled trials (RCT) found on Google Scholar1 (1.4%)-

n = number of apps; M = mean; SD = standard deviation.

Descriptive data for the apps included in the MARS-G rating. n = number of apps; M = mean; SD = standard deviation. Passwords and logins were required in n = 7 (10.1%) apps, n = 12 (17.4%) provided a privacy statement. No app had a user star rating on the Apple iTunes store, 27 apps on the Google Play store had a user star rating. The median of the user ratings (maximum five stars) was 4.3 (M = 4.2, SD = 0.7) (last updated on 15 May 2019). One app (‘PTSD coach’) was evaluated in several studies, including an RCT (Kuhn et al., 2017, 2018; Miner et al., 2016; Possemato et al., 2016; Wickersham, Petrides, Williamson, & Leightley, 2019). The ‘CBT-I coach’ app was evaluated in a feasibility pilot RCT (Koffel et al., 2018). One RCT evaluated the web-version of the ‘VetChange’ app (Brief et al., 2013). For two apps (‘PE coach’ and ‘PTSD Family Coach’), we identified user experience studies (Kuhn et al., 2015; Owen et al., 2017; Reger, Skopp, Edwards-Stewart, & Lemus, 2015). Table 2 displays the results from the MARS-G rating. The total score showed a good level of IRR (2-way mixed ICC = .87, 95%-CI .79 to .92). The IRRs of the MARS-G subscales were moderate to excellent (ICC = .70-.91). The overall quality of the apps was average, with M = 3.36 (SD = 0.65), ranging from M = 1.95 to M = 4.7. Concerning the four main subscales, functionality was the highest-rated (M = 3.82, SD = 0.64), followed by aesthetics (M = 3.36, SD = 0.82), information quality (M = 3.22, SD = 0.79), and user engagement (M = 3.03, SD = 0.81). The additional subscales showed lower rating scores: the mean for therapeutic gain was M = 2.67 (SD = 0.76), for subjective quality M = 2.54 (SD = 0.89), and for perceived impact M = 2.59 (SD = 0.85). The means of all subscales of the MARS-G rating are illustrated in Table 2. No significant bivariate correlations were found between the user ratings and the overall total score of the MARS-G (r(27) = .28, p > 0.05) or MARS-G subscales (r(27) = .09-.32, p > .05).
Table 2.

Means of the MARS-G (Messner et al., 2019) ratings in descending order of the total mean score (range: 1 to 5).

   App quality rating
Additional subscales
NameReviewed onTotal scoreEngagementFunctionalityAestheticsInformation QualityTherapeutic GainSubjective QualityPerceived Impact
PTSD Family CoachiTunes, GPa4.704.604.884.674.674.334.194.13
CoachPTBSGP4.634.604.754.504.673.964.134.42
Together StrongiTunes4.614.605.004.674.172.004.002.00
PTSD CoachiTunes, GP4.334.454.384.084.393.883.884.38
Mood CoachiTunes4.254.304.134.673.923.673.383.42
STAIR CoachiTunes4.254.004.504.504.003.883.633.67
VetChangeiTunes4.204.204.134.334.153.833.,633.50
PE Coach 2iTunes, GP4.154.204.314.084.014.143.383.50
Trauma RecoveryiTunes4.134.104.253.834.334.173.884.25
Reachout: My SupportiTunes4.093.604.754.673.332.003.501.50
Network         
DoD Safe HelplineiTunes4.053.604.254.334.003.334.003.00
Elevatr – Therapists & PeersiTunes4.043.904.254.004.002.334.001.50
PTSD Coach AustraliaiTunes, GP4.034.104.253.584.204.023.503.59
Youper – Anxiety &GP3.994.303.884.503.292.962.883.67
Depression         
Living WelliTunes3.913.904.133.833.794.173.753.75
PTSD TestiTunes, GP3.803.404.253.753.812.582.502.71
T2 Mood TrackeriTunes3.763.204.503.334.003.003.251.33
Quiet | Relaxation &iTunes3.753.104.504.502.902.672.632.00
Wellness         
CPT CoachiTunes, GP3.733.704.003.423.793.442.813.38
CBT-i CoachiTunes3.723.004.253.334.294.334.253.33
Backup Buddy [SSP]GP3.723.103.754.173.852.632.503.25
PTSD Coach CanadaiTunes3.703.404.752.674.003.673.252.50
Mental Health TestsGP3.672.804.134.173.602.172.132.67
PSYTREC Breathing TraineriTunes*3.653.204.004.003.422.752.633.42
CalmsteriTunes3.643.803.753.673.352.503.002.33
Self HelpGP3.632.704.253.504.082.882.753.50
The App For TraumaGP*3.593.503.884.003.002.752.753.00
Therapy – Morpheus         
KidTraumaGP3.593.403.753.503.702.502.633.33
Anxiety Coaches Podcasts &iTunes3.563.004.254.003.002.333.003.00
Workshops by Gina Ryan         
EMDR 101iTunes*3.563.404.133.503.212.582.883.00
Breathe EasyGP3.542.604.133.673.752.462.131.88
Self Help for TraumaiTunes, GP3.532.804.133.923.292.712.812.29
Life ArmouriTunes3.513.004.253.003.803.003.002.17
Exhale – Anxiety AssistantiTunes3.483.004.003.833.082.502.882.00
Calmster ProiTunes*3.433.003.634.003.082.632.502.58
Better meiTunes3.412.204.634.002.832.332.501.50
eReading: Sam, the Boy withiTunes*3.373.303.133.833.212.752.503.50
PTSD         
End Anxiety Hypnosis -GP3.313.004.003.332.903.002.632.42
Stress, Panic Attack Help         
Exposure – Face Your FearsiTunes3.283.203.383.672.883.171.882.58
PHIT for DutyiTunes3.243.303.752.333.572.922.632.75
EyeMove X EMDRiTunes, GP3.213.802.693.003.372.712.813.29
Traumatherapie         
EyeMoveX.as – EMDRiTunes*3.203.203.253.333.002.502.253.00
Sessions         
Deep Relaxation withiTunes*3.173.003.753.172.752.632.252.33
Andrew Johnson HD         
Veterans Mental HealthiTunes3.062.303.253.333.382.291.752.75
Virtual EMDRiTunes3.052.803.883.502.042.172.001.42
PTSD Support on the GoiTunes, GP3.032.903.692.672.881.851.501.71
WhatsMyM3iTunes*3.011.803.752.004.502.002.001.50
Post-Traumatic StressGP3.002.304.003.332.352.382.252.83
Disorder         
Qigong Meditation with Dr.iTunes2.991.604.753.002.601.672.751.33
Yang, Jwing-Ming (YMAA)         
iChilliTunes2.992.703.382.673.213.002.503.33
Tap Into a Better YouGP*2.962.503.752.672.922.752.253.08
MHU: Mental Health andiTunes2.902.203.752.673.001.672.002.00
You         
Serve And ProtectiTunes2.872.903.252.832.502.172.252.00
PTSD STOPS HEREiTunes, GP2.782.453.252.253.152.582.252.58
Anxiety and Panic AttacksGP2.732.003.502.832.601.921.132.42
PTSD AidGP2.722.403.632.672.202.001.132.50
Post Traumatic StressGP*2.722.303.752.332.502.632.002.33
Hypnosis         
PTSD FreeGP2.723.002.752.672.452.001.502.33
Bust PTSDiTunes*2.692.402.383.502.502.251.502.17
Trauma AidGP2.611.603.882.332.632.171.751.50
Psychologist – Anywhere-GP2.591.904.002.671.801.631.131.83
Anytime         
EMDR TherapyiTunes*2.592.602.252.503.002.501.501.42
PTSD HubiTunes, GP2.552.602.812.172.632.081.632.63
Erase Stress & Fear WithGP2.452.002.882.502.422.211.502.25
PSTEC         
Vital Tones PsychologicaliTunes2.302.203.001.332.671.331.001.00
Free HypnosisGP*2.201.903.132.671.132.001.252.00
DepreliberoGP2.061.702.382.331.851.541.131.83
EMDR+iTunes*2.011.802.252.002.001.751.001.25
Assistenzhund BulletiTunes1.951.803.501.331.171.291.001.33
Ptbs/Ptsd Bullet         
Total mean-3.363.033.823.363.222.672.542.59

*fee required.

GP = Google Play.

Means of the MARS-G (Messner et al., 2019) ratings in descending order of the total mean score (range: 1 to 5). *fee required. GP = Google Play. Table 3 shows the the rapeutic background and content of the apps. The most common therapeutic background was cognitive behavioural therapy, for which elements were found in more than half of the apps (n = 35 (50.7%)).
Table 3.

Therapeutic background and content of the apps included in the MARS-G rating.

 Therapeutic Background
Content (Type of techniques)
NameCBTThird wave of BTEMDRHypnotherapyOtherInformation,PsychoeducationAssessmentMonitoringTrackingFeedback
Anxiety and Panic Attacks       
Anxiety Coaches Podcasts & Workshops by Gina Ryan        
Assistenzhund Bullet Ptbs/Ptsd         
Backup Buddy [SSP]        
Better me        
Breathe Easy         
Bust PTSD   
Calmster       
Calmster Pro        
CBT-i Coach     
Coach PTBS Solution – Focused Therapy
CPT Coach   Cognitive Processing Therapy 
Deep Relaxation with Andrew Johnson HD       
Deprelibero        
DoD Safe Helpline     
Elevatr – Therapists & Peers         
EMDR Therapy        
EMDR 101       
EMDR+        
End Anxiety Hypnosis – Stress, Panic Attack Help        
Erase Stress & Fear With PSTEC       
eReading: Sam, the Boy with PTSD      
Exhale – Anxiety Assistant      
Exposure – Face Your Fears       
EyeMoveX.as – EMDR sessions    
EyeMove X EMDR Traumatherapie       
Free Hypnosis        
iChill  Trauma Resiliency Model  
KidTrauma    
Life Armour     
Living Well     
Mental Health Tests     
MHU: Mental Health and You        
Mood Coach     
PE Coach 2  Prolonged Exposure Therapy
PHIT for Duty      
Post-Traumatic Stress Disorder       
Post Traumatic Stress Hypnosis        
Psychologist – Anywhere – Anytime       
PSYTREC Breathing Trainer      
PTSD Aid    
PTSD Coach   
PTSD Coach Australia    
PTSD Coach Canada     
PTSD Family Coach    
PTSD Free       
PTSD Hub      
PTSD STOPS HERE    Rewind Trauma Therapy  
PTSD Support on the Go       
PTSD Test     
Qigong Meditation with Dr. Yang, Jwing-Ming (YMAA)         
Quiet | Relaxation & Wellness         
Reachout: My Support Network         
Self Help      
Self Help for Trauma       
Serve And Protect        
STAIR Coach     
Tap Into a Better You        
The App For Trauma Therapy – Morpheus     
Together Strong         
Trauma Aid        
Trauma Recovery     
T2 Mood Tracker      
VetChange     
Veterans Mental Health        
Virtual EMDR        
Vital Tones Psychological         
WhatsMyM3       
Youper – Anxiety & Depression  Acceptance and commitment therapy
Number35179864128309

CBT = Cognitive Behavioural Therapy; BT = Behavioural Therapy; EMDR = Eye Movement Desensitization and Reprocessing Therapy.

Therapeutic background and content of the apps included in the MARS-G rating. CBT = Cognitive Behavioural Therapy; BT = Behavioural Therapy; EMDR = Eye Movement Desensitization and Reprocessing Therapy. As to content, 44 apps (63.8%) offered elements of mindfulness, relaxation, breathing, or body exercises. This included a variety of techniques, such as meditation, guided positive imagery, grounding exercises, or progressive muscle relaxation (PMR), mainly guided by audio recordings. 41 apps (59.4%) included psychoeducational content about PTSD, of which 31 apps addressed the term ‘PTSD’, 23 provided information on the progression and prognosis of PTSD, 22 dealt with the aetiology and pathogenesis, and eight with its descriptive epidemiology. Provided tips and advice (n = 32 apps, 46.4%) ranged from how to deal with difficult emotions, cognitions (e.g. changing perspective), and behaviour (e.g. drinking behaviour). 30 apps (43.5%) involved monitoring and tracking that encompassed various functions, such as pre- and post-exercise distress measurements. Assessment sections were offered by 28 apps (40.6%), half of which used validated scientific questionnaires (e.g. Posttraumatic Stress Disorder Checklist (PCL-5)(Blevins, Weathers, Davis, Witte, & Domino, 2015), Patient Health Questionnaire (PHQ-9)(Kroenke, Spitzer, & Williams, 2001)). None of the apps made a diagnosis at the end of the assessment; 19 of these apps provided an explanation of the results; 17 apps showed a sum score of the assessment; 18 apps recommended seeking further help. Twelve apps referred to a link or phone number to directly contact professionals if their assessment revealed severe symptoms. Twelve apps were specifically developed for PTSD and had a MARS total score in the upper quartile of all included apps (M ≥ 3.73) (see Table 4). All of these apps included psychoeducational content. Eleven apps (91.7%) integrated modules for processing trauma-related emotions and beliefs, and ten apps (83.3%) included modules for cognitive processing, restructuring, or meaning making. Both breathing training and relaxation exercises (e.g. PMR, grounding techniques, body scan) were also offered by ten apps (83.3%). Nine apps (75.0%) comprised teaching emotional regulation and coping skills. Eight apps (66.7%) dealt with the acceptance of support and asking for help from others. Seven apps (58.3%) included self-care and help in structuring everyday life. Five apps (41.7%) offered the identification of triggers for flashbacks. Imaginative or in vivo exposure as well as homework assignments were offered by two apps (16.7%). A form of reorganizing memory processes was integrated in one app (8.3%). Exercises related to EMDR were included by none of the apps in the upper quartile of ratings.
Table 4.

Psychological treatment and self-help methods of apps in the upper quartile.

Treatment and self-help methodsfor PTSDPTSD Family CoachCoachPTBSPTSDCoachSTAIR CoachVet ChangePE Coach 2Trauma RecoveryDoD Safe HelplinePTSD Coach AustraliaLiving WellPTSD TestCPT Coachn
Psychoeducation12
 About stress responses & reaction to trauma12
 About strategies of managing arousal & flashbacks----8
 About safety planning---------3
Emotional regulation & coping skills---9
 Acquisition & consolidation of cognitive, behavioural & social skills------6
 Skills to reduce and control arousal, distress & anxiety---9
Cognitive processing, restructuring & meaning making--10
 Affirmations--10
 Thought stopping, removing problematic cognitive strategies-----7
 Analysing the meaning of the event; writing a trauma narrative-----------1
Processing trauma-related emotions & beliefs-11
 Processing emotions (e.g. shame, guilt, anger)-11
 Targeting beliefs (e.g. safety, trust, power-control, esteem)------6
 Training to challenge distorted beliefs about the event--------4
 Adaptive reappraisal of trauma – generated beliefs about self & others---------3
Reorganization of memory processes-----------1
 Elaboration and processing of trauma memories-----------1
 Correcting autobiographical memory------------0
Identifying triggers for flashbacks-------5
Imaginal &/in vivo exposure----------2
 Preparation (e.g. building a fear hierarchy)-----------1
 Help to reduce or overcome avoidance-----7
 Exposure to traumatic events-----------1
 Written exposure recounting the trauma-----------1
Breathing retraining--10
Relaxation exercises--10
EMDR-related exercises------------0
 Bilateral eye movements during sustained recall of trauma memories------------0
 Attention to a back and forth movement or sound------------0
Self-care and structuring of everyday life-----7
 Healthy diet---------3
 Exercise (increasing physical activity)--------4
 Sleep regulation-----7
 Daily structure -------4
 Energizing activities----8
Accepting support and asking for help from others----8
 Expressing personal needs--------4
 Verbalizing feelings--------4
 Appreciating good intentions from others ----------1
Homework assignments----------2

PTSD = post-traumatic stress disorder.

Psychological treatment and self-help methods of apps in the upper quartile. PTSD = post-traumatic stress disorder.

Discussion

This is the first study that systematically assessed the quality, general characteristics, and content of apps for PTSD. In addition, we reviewed the concordance of the content of high-quality apps with that of established PTSD-specific treatment and self-help methods. Our search resulted in a plethora of available apps in Google Play and Apple iTunes stores (N = 555), of which 54 were operable and included PTSD-specific content. For another 15 apps, the app stores description stated their use for treating PTSD, but no PTSD-specific content could be identified. The MARS-G ratings resulted in an average overall quality and most of the identified apps lacked a scientific evidence-base. Yet, apps in the upper quartile of all rated apps that were specifically tailored for PTSD showed good consistency with known psychological treatment methods for PTSD. The most frequent therapeutic background of the included apps was cognitive behavioural therapy, comprising a range of established psychological treatment elements like psychoeducation, mood tracking, cognitive restructuring, processing of trauma-related emotions and beliefs, and relaxation exercises. The absence of an evidence-base is consistent with prior reviews on the quality of apps (Sucala et al., 2017; Terhorst, Rathner, Baumeister, & Sander, 2018), and can partly be explained by the discrepancy between the fast-paced nature of technological development and the slow pace of research processes. Research innovation commonly takes a long time from development to full implementation of health interventions (Balas & Boren, 2000; Brown et al., 2012; Glasgow, Lichtenstein, & Marcus, 2003). Technology-based interventions may already be outdated by the time they are validated. To overcome this discrepancy, Mohr and colleagues proposed a methodologic framework of continuous evaluation of evolving behavioural intervention technologies (CEEBIT) through systematic prospective analyses (Mohr, Cheung, Schueller, Brown, & Duan, 2013). Many apps, however, only transfer pen and paper versions of psychological tools (e.g. mood diaries) into digital devices. In those cases, a decline in symptom burden when used as stand-alone interventions is rather unlikely, which makes efficacy trials dispensable. Scientific evaluations should therefore differentiate where effectiveness trials and where other study formats (e.g. usability studies) are appropriate. An indispensable operation, however, is a valuation of potential iatrogenic effects of apps. In the case of PTSD, unguided exposure without a treatment plan might increase symptom severity (Cuijpers & Schuurmans, 2007). Furthermore, apps might be used in place of regular health services and thus prevent or at least delay the application of first-line treatment options (Price et al., 2014). As a minimal standard, apps that are listed in market categories such as medical or health apps should, therefore, include a disclaimer indicating that the app does not substitute regular treatment and incorporate information on how to access other treatment options. This was the case in 64%, respectively 45% of the apps reviewed in this study. A further concern relates to the inadequate data protection and privacy declarations revealed in many apps in this study. This finding is consistent with the results of prior investigations (O’Loughlin, Neary, Adkins, & Schueller, 2019; Sucala et al., 2017; Terhorst et al., 2018). Even more concerning is the fact that many apps transmit data to commercial entities without disclosing this (Huckvale, Torous, & Larsen, 2019). This constitutes a serious threat to patients’ data privacy and illustrates the need for developers to be more strictly bound to security, data protection, and privacy regulations (Armontrout, Torous, Fisher, Drogin, & Gutheil, 2016). Until then, clinicians and consumers need to be careful when using apps (Armontrout et al., 2016). The use of apps in clinical practice is further afflicted by great difficulties to identify an appropriate app of high quality. Our search yielded an abundance of available hits (N = 555), of which only a minority of apps had PTSD-specific content. Additionally, the reviewed apps were of varying, overall average quality and neither one of the subscales nor the overall quality were significantly related to the user ratings of the apps. This is a constant finding when reviewing commercially available apps (Bardus, van Beurden, Smith, & Abraham, 2016; Terhorst et al., 2018) and makes it very difficult for help-seekers to find an app that suits their needs. In order to overcome this problem, numerous international initiatives have started to develop platforms promoting safe and high-quality apps: www.psyberguide.org, www.healthnavigator.com, www.vichealth.vic.gov.au, and www.mhad.science are examples of services providing quality-reviews based on the MARS as well as information about scope, functionality, privacy, and security of apps. Such platforms can contribute to facilitating the accessibility of health-related apps. Beyond that, a group of international experts from research, industry, and health systems recommend international collaborations to establish appropriate standards and practices for digital interventions (Torous et al., 2019). They called for unified standards in terms of usability, effectiveness, data security, and data integration (Torous et al., 2019). In the context of PTSD, Schellong, Lorenz, and Weidner (2019) developed a model covering the process of building, assessing, and implementing apps. Another approach proposed by Muñoz and colleagues is a global ‘digital apothecary’ that offers apps and web-based interventions for specific health conditions (Muñoz et al., 2018). In their vision paper, they emphasize the need to develop apps for particularly vulnerable target groups, including those affected by war, conflict, and other psychological traumas (Muñoz et al., 2018), as also pursued by Sijbrandij et al. (2017). Our search revealed soldiers and veterans as the most frequently addressed target group, which corresponds to the increased prevalence of PTSD in this group (Xue et al., 2015). However, other target groups, such as victims of sexual or domestic violence or refugees (Alisic et al., 2014; Kessler et al., 2017; Kizilhan & Noll-Hussong, 2018), are also frequently affected by PTSD symptoms, for which no tailored app could be found. This study has some limitations. First, due to the fast-paced nature of the development of apps (Larsen, Nicholas, & Christensen, 2016; Mohr et al., 2013), it is conceivable that some of the illustrated apps are no longer accessible or their content has changed. Second, this review only covered apps in British Google Play and Apple iTunes stores found by the web crawler using the given search terms. Hence, the findings might not be generalizable to other app stores, and some apps might not have been identified. Third, the conducted search was limited to PTSD specific keywords. As a result, useful apps for other trauma- and stressor-related disorders might not be included (American Psychiatric Association, 2013). Future studies should investigate the keywords used by people affected by trauma- and stressor-related disorders when searching app stores to conduct searches from a user perspective. Fourth, due to language limitations of the authors, only apps in the English and German language could be included. Fifth, the MARS was chosen for the ratings because it is a currently widespread tool for classifying and evaluating the quality of apps for a variety of health conditions (Bardus et al., 2016; Chavez et al., 2017; Mani, Kavanagh, Hides, & Stoyanov, 2015; Santo et al., 2016). Future studies may repeat this research using different evaluation instruments, such as the Enlight (Baumel, Faber, Mathur, Kane, & Muench, 2017) or the App Evaluation Model (American Psychiatric Association, 2019), to benefit from specific emphases of different rating tools.

Conclusion

This is the first review that systematically examined apps for PTSD in the British app stores. The reviewed apps showed a medium overall quality (M = 3.36, SD = 0.65) and offered a wide range of functionalities, including digital versions of established psychological treatment and self-help methods. Some apps might help to improve PTSD care and to support face-to-face treatment. At present, however, apps are still lagging behind their potential benefits for people with PTSD: both people affected by PTSD and mental health providers have great difficulties identifying high-quality apps, and most apps lack scientific evidence of their effectiveness. Global databases, such as digital apothecaries as proposed by Muñoz et al. (2018), could facilitate the accessibility of useful apps and provide information on their quality, security, and safety.
Treatment and self- help methodExamples of content componentsUnderlying PTSD-specific therapy approachesReferences
Psychoeducation

about stress responses & reactions to trauma

about strategies of managing arousal & flashbacks

about safety planning

PE, CPT, BEP, TF-CBT, SIT, STAIRBeck & Sloan, 2012; Charney et al., 2018; Schnyder et al., 2015; Watkins et al., 2018
Emotional regulation & coping skillls

acquisition and consolidation of cognitive, behavioural & social skills

skills to reduce and control arousal, distress & anxiety

CPT, EMDR, TF-CBT, SIT, STAIRCharney et al., 2018; Schnyder et al., 2015; Watkins et al., 2018
Cognitive processing, restructuring, & meaning making

Affirmations

thought stopping, removing problematic cognitive strategies, socratic questioning

analysing the meaning of the event for the client, writing a trauma narrative

PE, CPT, EMDR, BEP, TF-CBT, STAIRBeck & Sloan, 2012; Charney et al., 2018; Northumberland, 2013; Schnyder et al., 2015; Watkins et al., 2018
Processing trauma-related emotions and beliefs

processing emotions (e.g. shame, guilt, anger)

targeting beliefs (e.g. safety, trust, power-control, esteem)

training to challenge distorted beliefs about the event

adaptive reappraisal of trauma-generated beliefs about self & others

PE, CPT, EMDR, TF-CBT, STAIRCharney et al., 2018; Northumberland, 2013; Schnyder et al., 2015
Reorganization of memory processes

elaboration and processing of trauma memories

correcting autobiographical memory

PE, EMDR, TF-CBT,Charney et al., 2018; Northumberland, 2013; Watkins et al., 2018
Identifying triggers for flashbacks

self-observation

mindfulness

TF-CBTBeck & Sloan, 2012; Northumberland, 2013
Imaginal and/or in vivo exposure

Preparation (e.g. building a fear-hierarchy)

help to reduce or overcome avoidance

exposure to the traumatic event

written exposure recounting the trauma

PE, EMDR (imaginal), NET (audio-recording the written narrative), BEP (imaginal), TF-CBTCharney et al., 2018; NHS, 2016; Schnyder et al., 2015; Watkins et al., 2018
Breathing retraining

deep breathing

mindful breathing

PE, TF-CBT, SIT,Charney et al., 2018; NHS, 2016; Watkins et al., 2018
Relaxation exercises

e.g. PMR, meditation, grounding techniques

BEP, TF-CBT, SIT,NHS, 2016; Charney et al., 2018
EMDR-related exercises

bilateral eye movements during sustained recall of trauma memory

attention to a back and forth movement or sound

EMDRCharney et al., 2018; Schnyder et al., 2015
Self-care and structuring of everyday life

healthy diet

exercise (increasing physical activity)

sleep regulation,

daily structure

energizing activities

-Beck & Sloan, 2012; NHS, 2016
Accepting support and asking for help from others

expressing personal needs

verbalizing feelings towards advice from others

appreciating good intentions from others

-Beck & Sloan, 2012
Homework assignment

practice at home

PE, CPT, TF-CBTBeck & Sloan, 2012; Charney et al., 2018

PE = Prolonged Exposure; CPT = Cognitive Processing Therapy; BEP = Brief Eclectic Psychotherapy; TF-CBT = Trauma-focused Cognitive Behavioural Therapy; SIT = Stress Inoculation therapy; STAIR = Skills training in affective and interpersonal regulation; EMDR = Eye Movement Desensitization and Reprocessing Therapy (EMDR); NET = Narrative Exposure Therapy.

  55 in total

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Authors:  Russell E Glasgow; Edward Lichtenstein; Alfred C Marcus
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Authors:  Christy A Blevins; Frank W Weathers; Margaret T Davis; Tracy K Witte; Jessica L Domino
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2.  Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis.

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5.  A Self-Help App for Syrian Refugees With Posttraumatic Stress (Sanadak): Randomized Controlled Trial.

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