Background Low-intensity treatments imply reduced therapist contact due to an emphasis on self-help and the use of technologies to deliver treatment. The role of the remoteness, the reduced therapist contact, and the interplay of these components has not been differentiated from a patients’ perspective so far. This study’s purpose is to capture patients’ experiences with telephone-based self-help cognitive behavioural therapy (tel-CBT). Methods A subsample of mildly to moderately depressed patients (N = 13) who finished tel-CBT as part of a larger randomised controlled trial (RCT) in routine care were interviewed using a semi-structured questionnaire. Interviews were audiotaped, transcribed verbatim, and independently coded by two coders blind to treatment outcome. Using qualitative content analysis with deductive and inductive procedures, a two-level category system was established. Results The category system contains four category clusters regarding expectations, self-help related aspects, telephone-related aspects, and implications for patients’ treatment pathway, and subsumes a total of 15 categories. Self-help related aspects circulate around the interplay between written materials and professional input, trust and support in the therapeutic relationship and its relation to the initial personal contact, as well as CBT principles. Telephone-related aspects entail perceived advantages and disadvantages of the telephone on an organisational and content level as well as a discourse around distance and closeness in the interaction. Although patients raised doubts regarding the long-term effect of the intervention on symptomatology, patients expressed satisfaction with the treatment and reported an immediate as well as a longer lasting personal impact of the treatment. These results indicate user acceptance with tel-CBT. Conclusions This qualitative analysis captures patients’ experiences with tel-CBT and the perceived helpfulness of the diverse treatment components. This can facilitate refining aspects of low-intensity treatments and might improve dissemination. Trial registration ClinicalTrials.gov NCT02667366. Registered on 3 December 2015.

BackgroundNetwork meta-analysis (NMA) allows for the estimation of comparative effectiveness of treatments that have not been studied in head-to-head trials; however, relative treatment effects for all interventions can only be derived where available evidence forms a connected network. Head-to-head evidence is limited in many disease areas, regularly resulting in disconnected evidence structures where a large number of treatments are available. This is also the case in the evidence of treatments for relapsed or refractory multiple myeloma.MethodsRandomised controlled trials (RCTs) identified in a systematic literature review form two disconnected evidence networks. Standard Bayesian NMA models are fitted to obtain estimates of relative effects within each network. Observational evidence was identified to fill the evidence gap. Single armed trials are matched to act as each other’s control group based on a distance metric derived from covariate information. Uncertainty resulting from including this evidence is incorporated by analysing the space of possible matches.ResultsTwenty five randomised controlled trials form two disconnected evidence networks; 12 single armed observational studies are considered for bridging between the networks. Five matches are selected to bridge between the networks. While significant variation in the ranking is observed, daratumumab in combination with dexamethasone and either lenalidomide or bortezomib, as well as triple therapy of carfilzomib, ixazomib and elozumatab, in combination with lenalidomide and dexamethasone, show the highest effects on progression free survival, on average.ConclusionsThe analysis shows how observational data can be used to fill gaps in the existing networks of RCT evidence; allowing for the indirect comparison of a large number of treatments, which could not be compared otherwise. Additional uncertainty is accounted for by scenario analyses reducing the risk of over confidence in interpretation of results.Electronic supplementary materialThe online version of this article (10.1186/s12874-018-0509-7) contains supplementary material, which is available to authorized users.

Background The aim of the study was to examine the prevalence of and factors associated with antidepressant (AD) prescriptions in order to draw a comprehensive picture of prescribing practices in Switzerland. Method We conducted a population-based, cross-sectional descriptive study using a large Swiss healthcare claims database, covering approximately 13% of the Swiss population. AD prescription was determined by identifying patients ( N = 105,663) with health claims data of at least 1 AD prescription in the year 2016. AD medication was identified using ATC-codes classified by the World Health Organisation. Univariate, bivariate and multivariate analyses using logistic regression were performed. Results The extrapolated 1-year prevalence of AD prescription was 8.7% (95% CI, 8.7–8.8) with two thirds of AD recipients being female and the average age being 59 years (SD = 19.1). The regional distribution of prescription rates varied between cantons and ranged from 6.5 to 11.7%. Logistic regression revealed higher prescription rates among females compared to males (OR: 1.52) and an increased probability of AD prescription by age up until 54 years (OR: 2.25) and ≥ 85 years (OR: 2.32). Comorbidity is associated with higher odds (OR: 3.26 with 1–2 comorbidities) and enrollment in a managed care plan (compared to standard care) with lower odds for an AD prescription (OR: 0.85). Conclusion This study is the first in Switzerland to describe the prevalence of and factors associated with AD prescription based on a large health claims database reflecting routine care. The results provide important information about regional variation, prescription source, and potential over-prescription in the treatment of depressive disorders. Electronic supplementary material The online version of this article (10.1186/s12888-019-2178-4) contains supplementary material, which is available to authorized users.

The coronavirus disease (COVID-19) pandemic fundamentally disrupted humans’ social life and behavior. Public health measures may have inadvertently impacted how people care for each other. This study investigated prosocial behavior, its association well-being, and predictors of prosocial behavior during the first COVID-19 pandemic lockdown and sought to understand whether region-specific differences exist. Participants (N = 9,496) from eight regions clustering multiple countries around the world responded to a cross-sectional online-survey investigating the psychological consequences of the first upsurge of lockdowns in spring 2020. Prosocial behavior was reported to occur frequently. Multiple regression analyses showed that prosocial behavior was associated with better well-being consistently across regions. With regard to predictors of prosocial behavior, high levels of perceived social support were most strongly associated with prosocial behavior, followed by high levels of perceived stress, positive affect and psychological flexibility. Sociodemographic and psychosocial predictors of prosocial behavior were similar across regions.

BackgroundIncreased access to transportation and information has led to the emergence of more diverse patient choice and new forms of health care consumption, such as medical travel. In order for health care providers to effectively attract patients, more knowledge is needed on the mechanisms underlying decision-making of potential travelers from different countries. A particularly promising method of studying the travelers’ motives is collecting data on social media.ObjectivesThe aim of this study was to test what factors influence decision-making of potential medical travelers and how these factors interact. Based on existing literature, the factors analyzed included quality, cost, and waiting time for 2 procedures varying in invasiveness across 12 different destination countries.MethodsDecision-making patterns were examined using a pilot questionnaire that generated a large amount of data from over 800 participants in 40 countries. Participants indicated their willingness to travel given different scenarios. Each scenario consisted of a combination of several factors. Additionally, participants were asked to indicate the reasons for their choice.ResultsIndividuals display high willingness to travel for medical care when combining all participants and scenarios, travel for care was chosen 66.9% of the time. Among the factors influencing their decisions, quality of the medical procedure abroad was considered most important, and cost was least important as shown by chi-square tests and corresponding odds ratios. Log-linear analyses revealed an interaction between time waiting in the local health care system and type of procedure, whereby time pressure increased the odds of agreeing to travel for the more invasive procedure. The odds of traveling to Europe and the USA were by far the highest, although participants indicated that under certain conditions they might be willing to travel to other medical destinations, such as Asia.ConclusionOur measurements yielded several reliable insights into the factors driving medical decision-making. An essential next step would be to expand these findings with a more encompassing sample and more elaborate statistical modeling.

BackgroundDespite the availability of evidence-based treatments for depression, a large proportion of patients remains untreated or adequate treatment is initiated with delay. This situation is particularly critical in primary care, where not only most individuals first seek help for their mental health problems, but also depressive disorders – particularly mild to moderate levels of severity – are highly prevalent given the high comorbidity of chronic somatic conditions and depression. Improving the access for evidence-based treatment, especially in primary care, is hence a priority challenge in the mental health care agenda. Telephone usage is widespread and has the potential of overcoming many barriers that individuals suffering from mental health problems are facing: Its implementation for treatment delivery presents an option for optimisation of treatment pathways and outcomes.Methods/designThis paper details the study protocol for a randomised controlled trial (RCT) evaluating the effectiveness of a telephone-administered short-term cognitive-behavioural therapy (T-CBT) for depression as compared to treatment as usual (TAU) in the Swiss primary care setting. The study aims at randomising a total of 216 mildly to moderately depressed patients, which are either identified by their General Practitioners (GPs) or who self-refer to the study programme in consultation with their GP. The trial will examine whether telephone-delivered, manualised treatment leads to clinically significant reduction in depression at follow-up. It will further investigate the cost-effectiveness and acceptability of the intervention in the primary care setting.DiscussionConducting a low-intensity treatment on the telephone allows for greater flexibility for both patient and therapist, can grant more anonymity and can thus lead to less hesitation in the patient about whether to attempt treatment or not. In order to benefit from this approach, large-scale studies need to prove superior effectiveness and cost-effectiveness of telephone-delivered therapy over routine care for patients with mild to moderate depression.Trial registrationClinicalTrials.gov NCT02667366. Registered on 3 December 2015.

Der Behandlungspfad von Menschen mit psychischen Erkrankungen ist oft lang, und es sind verschiedene Settings und ?Professionen beteiligt. Insbesondere an 2 Stellen k?nnen Schwierigkeiten ?auftreten: Beim Zugang zu psychotherapeutischen Angeboten und bei der Nachsorge nach einer Psychotherapie. ?ber die Identifikation ?personaler und systembezogener Barrieren und Herausforderungen kann der Behandlungspfad und somit die ?Versorgung psychisch ?kranker Menschen verbessert werden.

Medical travel has expanded rapidly in recent years, resulting in new markets and increased access to medical care. Whereas several studies investigated the motives of individuals seeking healthcare abroad, the conventional analytical approach is limited by substantial caveats. Classical techniques as found in the literature cannot provide sufficient insight due to the nested nature of data generated. The application of adequate analytical techniques, specifically multilevel modeling, is scarce to non-existent in the context of medical travel. This study introduces the guidelines for application of multilevel techniques in public health research by presenting an application of multilevel modeling in analyzing the decision-making patterns of potential medical travelers. Benefits and potential limitations are discussed.