Blended-ALMAMAR app for inpatient mental health care for refugees: study protocol for a multicenter implementation study within the I-REACH consortium (Internet based REfugee mentAl healtH Care)

Background Refugees are at high risk for developing mental illnesses. Due to language and cultural barriers, there is need for specifically adapted therapeutic procedures for refugees in inpatient mental health care settings. Internet-based applications in refugee mother tongues have the potential to improve the outcomes of mental health care for this vulnerable population. The key research question of the present implementation study is whether the newly developed “blended ALMAMAR” app for Arabic and Farsi speaking refugees in Germany is used and accepted by patients and professionals in routine inpatient mental health care (blended care). Methods We present the design of an observational, prospective multicenter implementation study in eight psychiatric hospitals. We plan to recruit 100 Farsi or Arabic speaking refugees receiving in-patient treatment due to depression, anxiety disorder, posttraumatic stress disorder or substance use disorders. These patients will get access to the “blended ALMAMAR” app during their inpatient stay in a blended-care approach. We will assess the usage (e.g., duration and frequency of use of the app) as well as subjective acceptability and usability of the intervention. To identify sociodemographic and clinical factors associated with “blended ALMAMAR” usage, we will also perform clinical and questionnaire assessments. Discussion The newly developed “blended ALMAMAR” app may help to close communication gaps for the hard-to reach and vulnerable group of refugees in inpatient mental health care. It is the first blended-care intervention that addresses severely mentally ill refugees in an inpatient psychiatric setting in Germany. Trial registration The trial was registered in the German Clinical Trials Register on November 11, 2021 (DRKS00025972) and adapted on November 14, 2023

A Creative and Movement-Based Blended Intervention for Children in Outpatient Residential Care: A Mixed-Method, Multi-Center, Single-Arm Feasibility Trial

The COVID-19 pandemic led to psychological distress among children and adolescents. Due to multiple psychosocial burdens, the youth in residential care were especially exposed to an increased risk of mental health problems during the pandemic. In a multi-center, single-arm feasibility trial, N = 45 children and adolescents aged 7–14 years were allocated to a 6-week blended care intervention, conducted in six outpatient residential child welfare facilities. The intervention covered a once weekly face-to-face group session for guided creative (art therapy, drama therapy) and movement-oriented (children’s yoga, nature therapy) activities. This was accompanied by a resilience-oriented mental-health app. Feasibility and acceptance analyses covered app usage data and qualitative data. Effectiveness was determined by pre-post comparisons in quantitative data on psychological symptoms and resources. Further, subgroups for poorer treatment outcome were explored. The intervention and app were considered to be feasible and were accepted by residential staff and the children. No significant pre-post changes were found across quantitative outcomes. However, being female, being in current psychosocial crisis, a migration background, or a mentally ill parent were correlated with change in score of outcomes from baseline. These preliminary findings pave the way for future research on blended care interventions among at-risk children and adolescents

GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care

The huge wealth of data in the health domain can be exploited to create models that predict development of health states over time. Temporal learning algorithms are well suited to learn relationships between health states and make predictions about their future developments. However, these algorithms: (1) either focus on learning one generic model for all patients, providing general insights but often with limited predictive performance, or (2) learn individualized models from which it is hard to derive generic concepts. In this paper, we present a middle ground, namely parameterized dynamical systems models that are generated from data using a Genetic Programming (GP) framework. A fitness function suitable for the health domain is exploited. An evaluation of the approach in the mental health domain shows that performance of the model generated by the GP is on par with a dynamical systems model developed based on domain knowledge, significantly outperforms a generic Long Term Short Term Memory (LSTM) model and in some cases also outperforms an individualized LSTM model

Blended care to discontinue BZRA use in patients with chronic insomnia disorder: a pragmatic cluster randomized controlled trial in primary care.

peer reviewed[en] STUDY OBJECTIVES: International guidelines recommend using benzodiazepine receptor agonists (BZRA) for maximally four weeks. Nevertheless, long-term use for chronic insomnia disorder remains a common practice. This study aimed to test the effectiveness of blended care for discontinuing long-term BZRA use in general practice. METHODS: A pragmatic cluster randomized controlled superiority trial compared blended care to usual care through urine toxicology screening. In the intervention, care by the general practitioner (GP) was complemented by an interactive e-learning program, based on cognitive behavioral therapy for insomnia. Adults using BZRA daily for minimally six months were eligible. Participants were clustered at the level of the GP surgery for allocation (1:1). Effectiveness was measured as the proportion of patients who had discontinued at one-year follow-up. Data analysis followed intention-to-treat principles. RESULTS: In total, 916 patients in 86 clusters, represented by 99 GPs, were randomized. Primary outcome data was obtained from 727 patients (79%). At one-year follow-up, 82 patients (18%) in blended care, compared to 91 patients (20%) in usual care, had discontinued. There was no statistically significant effect for the intervention (OR: 0·924; 95% CI: 0·60, 1·43). No adverse events were reported to the research team. CONCLUSIONS: The findings did not support the superiority of blended care over usual care. Both strategies showed clinical effectiveness, with an average of 19% of patients having discontinued at one-year follow-up. Further research is important to study the effect of structurally implementing digital interventions in general practice

TEACHING PERFORMANCE IN THE BLENDED ATTENDANCE OF STUDENTS OF ALTERNATIVE BASIC EDUCATION

The objective of this article was to verify to what extent the teaching performance in the form of blended attention optimizes the achievement of competencies of the students of Alternative Basic Education of San Juan de Lurigancho. The research was quantitative with a transactional - correlational - causal design, with a sample of 17 teachers and 189 students from the Pilot Center Mother Teresa of Calcutta. It was possible to verify to what extent, the form of blended care optimizes the achievement of competencies of that educational center. The research provided a contribution, summarized in the conclusions, at the same time extensible to other centers with similar characteristics

Adherence to Prescribed E-Diary Recording by Patients With Seasonal Allergic Rhinitis: Observational Study

Background: Complete diagnosis and therapy of seasonal allergic rhinoconjunctivitis require evidence that exposure to the sensitizing pollen triggers allergic symptoms. Electronic clinical diaries, by recording disease severity scores and pollen exposure, can demonstrate this association. However, patients who spontaneously download an e-diary app show very low adherence to their recording. Objective: The objective of our study was to assess adherence of patients with seasonal allergic rhinitis to symptom recording via e-diary explicitly prescribed by an allergist within a blended care approach. Methods: The @IT-2020 project is investigating the diagnostic synergy of mobile health and molecular allergology in patients with seasonal allergic rhinitis. In the pilot phase of the study, we recruited Italian children (Rome, Italy) and adults (Pordenone, Italy) with seasonal allergic rhinitis and instructed them to record their symptoms, medication intake, and general conditions daily through a mobile app (Allergy.Monitor) during the relevant pollen season. Results: Overall, we recruited 101 Italian children (Rome) and 93 adults (Pordenone) with seasonal allergic rhinitis. Adherence to device use slowly declined during monitoring in 3 phases: phase A: first week, ≥1267/1358, 90%; phase B: second to sixth week, 4992/5884, 80% to 90%; and phase C: seventh week onward, 2063/2606, 70% to 80%. At the individual level, the adherence assessed in the second and third weeks of recording predicted with enough confidence (Rome: Spearman ρ=0.75; P<.001; Pordenone: ρ=0.81; P<.001) the overall patient adherence to recording and was inversely related to postponed reporting (ρ=-0.55; P<.001; in both centers). Recording adherence was significantly higher during the peak grass pollen season in Rome, but not in Pordenone. Conclusions: Adherence to daily recording in an e-diary, prescribed and motivated by an allergist in a blended care setting, was very high. This observation supports the use of e-diaries in addition to face-to-face visits for diagnosis and treatment of seasonal allergic rhinitis and deserves further investigation in real-life contexts

Development and initial evaluation of blended cognitive behavioural treatment for Major Depression in Routine Specialized Mental Health Care

Background:\ud Blended care combines face-to-face treatment with web-based components in mental health care settings. Blended treatment could potentially improve active patient participation, by letting patients work though part of the protocol autonomously. Further, blended treatment might lower the costs of mental health care, by reducing treatment duration and/or therapist contact. However, knowledge on blended care for depression is still limited.\ud \ud Objectives:\ud To develop a blended cognitive behavioural treatment (bCBT) for depressed patients in an outpatient specialized mental health care centre and to conduct a preliminary evaluation of this bCBT protocol.\ud \ud Method:\ud A bCBT protocol was developed, taking recommendations into account from therapists and experts in the field of e-health (n = 18), and depressed patients (n = 3). Next, an initial evaluation of integrated high-intensive bCBT was conducted with depressed patients (n = 9) in specialized mental health care. Patients' clinical profiles were established based on pre-treatment diagnostic information and patient self-reports on clinical measures. Patient treatment adherence rates were explored, together with patient ratings of credibility and expectancy (CEQ) before treatment, and system usability (SUS) and treatment satisfaction after treatment (CSQ-8). During and after treatment, the blended treatment protocol was evaluated in supervision sessions with the participating therapists (n = 7).\ud \ud Results:\ud Seven out of nine patients started bCBT, of whom five completed ≥ 90% of treatment. System usability was evaluated as being above average (range 63 to 85), and patients were mostly to very satisfied with bCBT (range 16 to 32). Patients reported improvements in depression, health-related quality of life and anxiety. We observed that therapists evaluated the highly structured blended treatment as a helpful tool in providing evidence-based treatment to this complex patient group.\ud \ud Discussion:\ud Although no conclusions can be drawn based on the current study, our observations suggest that a blended CBT approach might shorten treatment duration and has the potential to be a valuable treatment option for patients with severe depression at specialized mental health care settings. Further exploration of the effectiveness of our bCBT protocol by means of a randomized controlled trial is warranted

Design and baseline characteristics of the PerfectFit study: A multicenter cluster-randomized trial of a lifestyle intervention in employees with increased cardiovascular risk

Background: The prevalence of unhealthy lifestyles and preventable chronic diseases is high. They lead to disabilities and sickness absence, which might be reduced if health promotion measures were applied. Therefore, we developed the PerfectFit health promotion intervention with a "blended care"-approach, which consists of a web-based health risk assessment (HRA) including tailored and personalized advice, followed by motivational interviewing (MI). We hypothesize that adding MI to a web-based HRA leads to better health outcomes. The objective is to describe the design and baseline characteristics of the PerfectFit study, which is being conducted among employees with high cardiovascular risk in the military workforce, the police organization and an academic hospital. Methods: PerfectFit is a cluster randomized controlled trial, consisting of two arms. Based on cardiovascular risk profiling, done between 2012 and 2014, we included employees based on one or more risk factors and motivation to participate. One arm is the 'limited' health program (control) that consists of: (a) an HRA as a decision aid for lifestyle changes, including tailored and personalized advice, and pros and cons of the options, and (b) a newsletter every 3 months. The other arm is the 'extensive' program (intervention), which is additionally offered MI-sessions by trained occupational physicians, 4 face-to-face and 3 by telephone, and is offered more choices of health promotion activities in the HRA. During the follow-up period, participants choose the health promotion activities they personally prefer. After six and twelve months, outcomes will be assessed by online questionnaires. After twelve months the cardiovascular risk profiling will be repeated. The primary outcome is self-reported general health. Secondary outcomes are self-reported work ability, CVD-risk score, sickness absence, productivity loss at work, participation in health promotion activities, changes in lifestyle (smoking, alcohol consumption, physical activity, stress management) and body mass index. Furthermore, a process evaluation and an economic analysis will be performed. Discussion: Additional coaching using MI is expected to be a key factor for success of the web-based HRA in employees with increased cardiovascular risk. This "blended care"-approach may be an essential strategy for effective health promotion activities. Trial registration: Dutch Trial Register by registration number NTR4894, 14/11/2014

Evaluation of a blended care programme for caregivers and working pregnant women to prevent adverse pregnancy outcomes : an intervention study

Acknowledgements We thank all the participating hospitals and their referring midwifery practices from the Regional Perinatal Network North-West Netherlands for all their efforts. We also thank Dr Robert de Leeuw (Department of Obstetrics and Gynaecology, Amsterdam UMC) for his support in the development of the P&W app Funding This pilot study received funding from ZonMw, the Netherlands Organisation for Health Research and Development, and is part of the Pregnancy and Birth Program.Peer reviewedPublisher PD