What Makes Opportunistic GP Interventions Effective? An Analysis of Behavior Change Techniques Used in 237 GP-Delivered Brief Interventions for Weight Loss.

BACKGROUND: Evidence shows that clinician-delivered brief opportunistic interventions are effective in obesity, and guidelines promote their use. However, there is no evidence on how clinicians should do this, and guidelines are not based on clinical evidence. PURPOSE: A trial (Brief Interventions for Weight Loss [BWeL]) showed that brief opportunistic interventions on obesity that endorsed, offered, and facilitated referral to community weight management service (CWMS) led to 77% agreeing to attend, and 40% attending CWMS, as well as significantly greater weight loss than control at 12 months. We assessed which behavior change techniques (BCTs) doctors used that were associated with CWMS attendance. METHODS: We coded 237 recorded BWeL interventions using the behavioral change techniques version one taxonomy. We also coded the BWeL training video to examine delivery of recommended BCTs. Mixed effects logistic regression assessed the association between each BCT, the total number of BCTs, and delivery of recommended BCTs, with patient's agreement to attend and actual CWMS attendance. RESULTS: Of 237 patients, 133 (56%) agreed to attend and 109 (46%) attended. Thirteen BCTs were used more than eight times but none of the 13 were associated with increased attendance. One, "practical social support," was significantly associated with increased patient agreement (odds ratio [OR] = 4.80, 95% confidence interval [CI] = 1.15, 20.13). Delivery of recommended BCTs and the total number of BCTs used were both associated with increased agreement (OR = 1.56, 95% CI = 1.09, 2.23 and OR = 1.34, 95% CI = 1.03, 1.75, respectively), but not attendance at CWMS (OR = 1.20, 95% CI = 0.98-1.47 and OR = 1.08, 95% CI = 0.94-1.24, respectively). CONCLUSIONS: There is no evidence that particular BCT can increase the effectiveness of brief opportunistic interventions for obesity in adults. However, using more BCTs and delivery of recommended BCTs may increase agreement to attend community weight management services.

Do Combinations of Behavior Change Techniques That Occur Frequently in Interventions Reflect Underlying Theory?

BACKGROUND: Behavioral interventions typically include multiple behavior change techniques (BCTs). The theory informing the selection of BCTs for an intervention may be stated explicitly or remain unreported, thus impeding the identification of links between theory and behavior change outcomes. PURPOSE: This study aimed to identify groups of BCTs commonly occurring together in behavior change interventions and examine whether behavior change theories underlying these groups could be identified. METHODS: The study involved three phases: (a) a factor analysis to identify groups of co-occurring BCTs from 277 behavior change intervention reports; (b) examining expert consensus (n = 25) about links between BCT groups and behavioral theories; (c) a comparison of the expert-linked theories with theories explicitly mentioned by authors of the 277 intervention reports. RESULTS: Five groups of co-occurring BCTs (range: 3-13 BCTs per group) were identified through factor analysis. Experts agreed on five links (≥80% of experts), comprising three BCT groups and five behavior change theories. Four of the five BCT group-theory links agreed by experts were also stated by study authors in intervention reports using similar groups of BCTs. CONCLUSIONS: It is possible to identify groups of BCTs frequently used together in interventions. Experts made shared inferences about behavior change theory underlying these BCT groups, suggesting that it may be possible to propose a theoretical basis for interventions where authors do not explicitly put forward a theory. These results advance our understanding of theory use in multicomponent interventions and build the evidence base for further understanding theory-based intervention development and evaluation.

Assessing effective interventions to improve trial retention: do they contain behaviour change techniques?

BACKGROUND: Clinical trials often struggle to retain the number of participants required to make valid and reliable assessments about the effectiveness of treatments. Several individual randomised comparisons of interventions to improve retention in trials have been shown to be effective. Many of these retention interventions target participants' behaviour (e.g. returning questionnaires or attending a follow-up visit). Although not designed as such, these interventions can be thought of as behaviour change interventions. By coding the constituent behaviour change components of effective retention interventions, the interventions' potential 'active ingredients' responsible for improvements in retention can be identified and maximised for future gains. METHODS: Studies reporting effective retention interventions were identified from existing meta-analyses in the literature. Published manuscripts and intervention and comparator group material were coded into their behaviour change techniques (BCTs) using the BCT taxonomy version 1. Two authors independently coded materials using a standardised coding manual and discussed any disagreements to reach consensus. Data on study characteristics including host trial context, timing, mode of delivery and dosage of retention intervention were recorded. RESULTS: Two intervention types were identified as having evidence of improving retention in existing meta-analyses: monetary incentives and electronic prompts. None of the interventions identified from the included studies explicitly stated a theoretical rationale for their development. BCTs were identified in both intervention and comparator groups across both intervention types and there was heterogeneity with regard to their presentation within and across interventions. The BCTs identified in the 'monetary incentive' interventions differed to the comparator group. Contrastingly, the BCTs identified in 'electronic prompts' interventions were identical in both the control and intervention groups (within studies) and differed only in terms of mode of delivery and dosing. CONCLUSIONS: Attending a measurement visit or returning a questionnaire is a behaviour and trialists should be mindful of this when designing retention interventions. Our work in this area provides some of the first evidence of the impact of implicit use of BCTs in retention interventions and highlights their potential promise for future trials.

The App Behavior Change Scale: Creation of a Scale to Assess the Potential of Apps to Promote Behavior Change.

BACKGROUND: Using mobile phone apps to promote behavior change is becoming increasingly common. However, there is no clear way to rate apps against their behavior change potential. OBJECTIVE: This study aimed to develop a reliable, theory-based scale that can be used to assess the behavior change potential of smartphone apps. METHODS: A systematic review of all studies purporting to investigate app's behavior change potential was conducted. All scales and measures from the identified studies were collected to create an item pool. From this item pool, 3 health promotion exerts created the App Behavior Change Scale (ABACUS). To test the scale, 70 physical activity apps were rated to provide information on reliability. RESULTS: The systematic review returned 593 papers, the abstracts and titles of all were reviewed, with the full text of 77 papers reviewed; 50 papers met the inclusion criteria. From these 50 papers, 1333 questions were identified. Removing duplicates and unnecessary questions left 130 individual questions, which were then refined into the 21-item scale. The ABACUS demonstrates high percentage agreement among reviewers (over 80%), with 3 questions scoring a Krippendorff alpha that would indicate agreement and a further 7 came close with alphas >.5. The scale overall reported high interrater reliability (2-way mixed interclass coefficient=.92, 95% CI 0.81-0.97) and high internal consistency (Cronbach alpha=.93). CONCLUSIONS: The ABACUS is a reliable tool that can be used to determine the behavior change potential of apps. This instrument fills a gap by allowing the evaluation of a large number of apps to be standardized across a range of health categories.

Further analysis of subtypes of automatically reinforced SIB: A replication and quantitative analysis of published datasets.

Hagopian, Rooker, and Zarcone (2015) evaluated a model for subtyping automatically reinforced self-injurious behavior (SIB) based on its sensitivity to changes in functional analysis conditions and the presence of self-restraint. The current study tested the generality of the model by applying it to all datasets of automatically reinforced SIB published from 1982 to 2015. We identified 49 datasets that included sufficient data to permit subtyping. Similar to the original study, Subtype-1 SIB was generally amenable to treatment using reinforcement alone, whereas Subtype-2 SIB was not. Conclusions could not be drawn about Subtype-3 SIB due to the small number of datasets. Nevertheless, the findings support the generality of the model and suggest that sensitivity of SIB to disruption by alternative reinforcement is an important dimension of automatically reinforced SIB. Findings also suggest that automatically reinforced SIB should no longer be considered a single category and that additional research is needed to better understand and treat Subtype-2 SIB.

Medical Devices; Neurological Devices; Classification of the Computerized Behavioral Therapy Device for Psychiatric Disorders. Final order.

The Food and Drug Administration (FDA or we) is classifying the computerized behavioral therapy device for psychiatric disorders into class II (special controls). The special controls that apply to the device type are identified in this order and will be part of the codified language for the computerized behavioral therapy device for psychiatric disorders' classification. We are taking this action because we have determined that classifying the device into class II (special controls) will provide a reasonable assurance of safety and effectiveness of the device. We believe this action will also enhance patients' access to beneficial innovative devices, in part by reducing regulatory burdens.

Deconstructing interventions: approaches to studying behavior change techniques across obesity interventions.

Deconstructing interventions into the specific techniques that are used to change behavior represents a new frontier in behavioral intervention research. This paper considers opportunities and challenges in employing the Behavior Change Techniques Taxonomy (BCTTv1) developed by Michie and colleagues, to code the behavior change techniques (BCTs) across multiple interventions addressing obesity and capture dose received at the technique level. Numerous advantages were recognized for using a shared framework for intervention description. Coding interventions at levels of the social ecological framework beyond the individual level, separate coding for behavior change initiation vs. maintenance, fidelity of BCT delivery, accounting for BCTs mode of delivery, and tailoring BCTs, present both challenges and opportunities. Deconstructing interventions and identifying the dose required to positively impact health-related outcomes could enable important gains in intervention science.

Overview of the obesity intervention taxonomy and pooled analysis working group.

The National Heart, Lung, and Blood Institute and the National Institutes of Health Office of Disease Prevention convened a meeting on August 29-30, 2013 entitled "Obesity Intervention Taxonomy and Pooled Analysis." The overarching goals of the meeting were to understand how to decompose interventions targeting behavior change, and in particular, those that focus on obesity and to combine data from groups of related intervention studies to supplement what can be learned from the individual studies. This paper summarizes the workshop recommendations and provides an overview of the two other papers that originated from the workshop and that address decomposition of behavioral change interventions and pooling of data across diverse studies within a consortium.

Using the Behavior Change Technique Taxonomy v1 to conceptualize the clinical content of Breaking Free Online: a computer-assisted therapy program for substance use disorders.

BACKGROUND: In recent years, research within the field of health psychology has made significant progress in terms of advancing and standardizing the science of developing, evaluating and reporting complex behavioral change interventions. A major part of this work has involved the development of an evidence-based Behavior Change Technique Taxonomy v1 (BCTTv1), as a means of describing the active components contained within such complex interventions. To date, however, this standardized approach derived from health psychology research has not been applied to the development of complex interventions for the treatment of substance use disorders (SUD). Therefore, this paper uses Breaking Free Online (BFO), a computer-assisted therapy program for SUD, as an example of how the clinical techniques contained within such an intervention might be mapped onto the BCTTv1. METHOD: The developers of BFO were able to produce a full list of the clinical techniques contained within BFO. Exploratory mapping of the BCTTv1 onto the clinical content of the BFO program was conducted separately by the authors of the paper. This included the developers of the BFO program and psychology professionals working within the SUD field. These coded techniques were reviewed by the authors and any discrepancies in the coding were discussed between all authors until an agreement was reached. RESULTS: The BCTTv1 was mapped onto the clinical content of the BFO program. At least one behavioral change technique was found in 12 out of 16 grouping categories within the BCTTv1. A total of 26 out of 93 behavior change techniques were identified across the clinical content of the program. CONCLUSION: This exploratory mapping exercise has identified the specific behavior change techniques contained within BFO, and has provided a means of describing these techniques in a standardized way using the BCTTv1 terminology. It has also provided an opportunity for the BCTTv1 mapping process to be reported to the wider SUD treatment community, as it may have real utility in the development and evaluation of other psychosocial and behavioral change interventions within this field.

['TESTED, BUT NOT TRIED' - WHY IS BEHAVIORAL MEDICINE RARELY IMPLEMENTED IN CLINICAL PRACTICE?].

BACKGROUND: Behavioral Medicine is an inter-disciplinary field concerned with the integration of behavioral and biomedical knowledge for the purposes of diagnosis, prevention, treatment and rehabilitation of conditions pertaining to health and illness. Behavioral treatments (such as: hypnosis, relaxation training, meditation, biofeedback and cognitive-behavioral therapy) have been shown to be effective in reducing physical symptoms as well as improving health-related behaviors and quality of life across a wide variety of illnesses, such as: chronic pain, somatic symptoms, diabetes, inflammatory bowel diseases, coronary heart disease and more. The usefulness of behavioral techniques in modern medicine has been sufficiently proven so as to have been referred to as the "third therapeutic revolution" in treating human illness, after pharmacological and surgical treatments. THE PROBLEM: Despite the fact that the bio-psycho-social model is the dominant model in 21st century medicine and despite the plethora of studies demonstrating the efficacy of behavioral interventions, these tools are underused in today's medical system. The reasons for this have to do with a dichotomous view of mind and body rooted in the biomedical approach, which was the dominant paradigm in the medical world up until the latter half of the previous century. In accordance with this paradigm, diseases were "assigned" either to medicine (i.e. they are physiological) or to the mental health professions (i.e. they are psychological), but never to both fields simultaneously. As an extension of this position, behavioral medicine was not included in Israel's socialized health care plan, making the use of behavioral techniques largely impractical, so that even physicians who agree with and believe in the importance of the bio-psycho-social model are often untrained or unable to provide effective behavioral treatments which would address the psycho-social aspects of their patients' illness. DISCUSSION: In Israel today there exist a number of facilities which provide behavioral treatments, however, there is, as yet, no public body in charge of organizing and promoting the knowledge and use of behavioral medicine in Israel. For the sake of patients, physicians and the medical system itself, it is imperative that, in the future, medical and paramedical professionals, including students and interns, are exposed to and trained in the use of behavioral techniques. In addition, thought must be given as to the integration of such techniques in routine medical care. For that purpose, we propose a number of guiding principles for effectively implementing' behavioral techniques in the day-to-day practice of modern; medicine.

A taxonomy of behaviour change methods: an Intervention Mapping approach.

In this paper, we introduce the Intervention Mapping (IM) taxonomy of behaviour change methods and its potential to be developed into a coding taxonomy. That is, although IM and its taxonomy of behaviour change methods are not in fact new, because IM was originally developed as a tool for intervention development, this potential was not immediately apparent. Second, in explaining the IM taxonomy and defining the relevant constructs, we call attention to the existence of parameters for effectiveness of methods, and explicate the related distinction between theory-based methods and practical applications and the probability that poor translation of methods may lead to erroneous conclusions as to method-effectiveness. Third, we recommend a minimal set of intervention characteristics that may be reported when intervention descriptions and evaluations are published. Specifying these characteristics can greatly enhance the quality of our meta-analyses and other literature syntheses. In conclusion, the dynamics of behaviour change are such that any taxonomy of methods of behaviour change needs to acknowledge the importance of, and provide instruments for dealing with, three conditions for effectiveness for behaviour change methods. For a behaviour change method to be effective: (1) it must target a determinant that predicts behaviour; (2) it must be able to change that determinant; (3) it must be translated into a practical application in a way that preserves the parameters for effectiveness and fits with the target population, culture, and context. Thus, taxonomies of methods of behaviour change must distinguish the specific determinants that are targeted, practical, specific applications, and the theory-based methods they embody. In addition, taxonomies should acknowledge that the lists of behaviour change methods will be used by, and should be used by, intervention developers. Ideally, the taxonomy should be readily usable for this goal; but alternatively, it should be clear how the information in the taxonomy can be used in practice. The IM taxonomy satisfies these requirements, and it would be beneficial if other taxonomies would be extended to also meet these needs.

Behaviour change techniques: the development and evaluation of a taxonomic method for reporting and describing behaviour change interventions (a suite of five studies involving consensus methods, randomised controlled trials and analysis of qualitative data).

BACKGROUND: Meeting global health challenges requires effective behaviour change interventions (BCIs). This depends on advancing the science of behaviour change which, in turn, depends on accurate intervention reporting. Current reporting often lacks detail, preventing accurate replication and implementation. Recent developments have specified intervention content into behaviour change techniques (BCTs) - the 'active ingredients', for example goal-setting, self-monitoring of behaviour. BCTs are 'the smallest components compatible with retaining the postulated active ingredients, i.e. the proposed mechanisms of change. They can be used alone or in combination with other BCTs' (Michie S, Johnston M. Theories and techniques of behaviour change: developing a cumulative science of behaviour change. Health Psychol Rev 2012;6:1-6). Domain-specific taxonomies of BCTs have been developed, for example healthy eating and physical activity, smoking cessation and alcohol consumption. We need to build on these to develop an internationally shared language for specifying and developing interventions. This technology can be used for synthesising evidence, implementing effective interventions and testing theory. It has enormous potential added value for science and global health. OBJECTIVE: (1) To develop a method of specifying content of BCIs in terms of component BCTs; (2) to lay a foundation for a comprehensive methodology applicable to different types of complex interventions; (3) to develop resources to support application of the taxonomy; and (4) to achieve multidisciplinary and international acceptance for future development. DESIGN AND PARTICIPANTS: Four hundred participants (systematic reviewers, researchers, practitioners, policy-makers) from 12 countries engaged in investigating, designing and/or delivering BCIs. Development of the taxonomy involved a Delphi procedure, an iterative process of revisions and consultation with 41 international experts; hierarchical structure of the list was developed using inductive 'bottom-up' and theory-driven 'top-down' open-sort procedures (n = 36); training in use of the taxonomy (1-day workshops and distance group tutorials) (n = 161) was evaluated by changes in intercoder reliability and validity (agreement with expert consensus); evaluating the taxonomy for coding interventions was assessed by reliability (intercoder; test-retest) and validity (n = 40 trained coders); and evaluating the taxonomy for writing descriptions was assessed by reliability (intercoder; test-retest) and by experimentally testing its value (n = 190). RESULTS: Ninety-three distinct, non-overlapping BCTs with clear labels and definitions formed Behaviour Change Technique Taxonomy version 1 (BCTTv1). BCTs clustered into 16 groupings using a 'bottom-up' open-sort procedure; there was overlap between these and groupings produced by a theory-driven, 'top-down' procedure. Both training methods improved validity (both p < 0.05), doubled the proportion of coders achieving competence and improved confidence in identifying BCTs in workshops (both p < 0.001) but did not improve intercoder reliability. Good intercoder reliability was observed for 80 of the 93 BCTs. Good within-coder agreement was observed after 1 month (p < 0.001). Validity was good for 14 of 15 BCTs in the descriptions. The usefulness of BCTTv1 to report descriptions of observed interventions had mixed results. CONCLUSIONS: The developed taxonomy (BCTTv1) provides a methodology for identifying content of complex BCIs and a foundation for international cross-disciplinary collaboration for developing more effective interventions to improve health. Further work is needed to examine its usefulness for reporting interventions. FUNDING: This project was funded by the Medical Research Council Ref: G0901474/1. Funding also came from the Peninsula Collaboration for Leadership in Applied Health Research and Care.

Evaluating Feasible and Referable Behavioral Counseling Interventions.

The U.S. Preventive Services Task Force (USPTF) recognizes that behaviors have a major impact on health and well-being. Currently, the USPSTF has 11 behavioral counseling intervention (BCI) recommendations. These BCIs can be delivered in a primary care setting or patients can be referred to other clinical or community programs. Unfortunately, many recommended BCIs are infrequently and ineffectually delivered, suggesting that more evidence is needed to understand which BCIs are feasible and referable. In response, the USPSTF convened an expert forum in 2013 to inform the evaluation of BCI feasibility. This manuscript reports on findings from the forum and proposes that researchers use several frameworks to help clinicians and the USPSTF evaluate which BCIs work under usual conditions. A key recommendation for BCI researchers is to use frameworks whose components can support dissemination and implementation efforts. These frameworks include the Template for Intervention Description and Replication (TIDieR), which helps describe the essential components of an intervention, and pragmatic frameworks like Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) or Pragmatic-Explanatory Continuum Indicator Summary (PRECIS), which help to report study design elements and outcomes. These frameworks can both guide the design of more-feasible BCIs and produce clearer feasibility evidence. Critical evidence gaps include a better understanding of which patients will benefit from a BCI, how flexible interventions can be without compromising effectiveness, required clinician expertise, necessary intervention intensity and follow-up, impact of patient and clinician intervention adherence, optimal conditions for BCI delivery, and how new care models will influence BCI feasibility.

Using a behaviour change techniques taxonomy to identify active ingredients within trials of implementation interventions for diabetes care.

BACKGROUND: Methodological guidelines for intervention reporting emphasise describing intervention content in detail. Despite this, systematic reviews of quality improvement (QI) implementation interventions continue to be limited by a lack of clarity and detail regarding the intervention content being evaluated. We aimed to apply the recently developed Behaviour Change Techniques Taxonomy version 1 (BCTTv1) to trials of implementation interventions for managing diabetes to assess the capacity and utility of this taxonomy for characterising active ingredients. METHODS: Three psychologists independently coded a random sample of 23 trials of healthcare system, provider- and/or patient-focused implementation interventions from a systematic review that included 142 such studies. Intervention content was coded using the BCTTv1, which describes 93 behaviour change techniques (BCTs) grouped within 16 categories. We supplemented the generic coding instructions within the BCTTv1 with decision rules and examples from this literature. RESULTS: Less than a quarter of possible BCTs within the BCTTv1 were identified. For implementation interventions targeting providers, the most commonly identified BCTs included the following: adding objects to the environment, prompts/cues, instruction on how to perform the behaviour, credible source, goal setting (outcome), feedback on outcome of behaviour, and social support (practical). For implementation interventions also targeting patients, the most commonly identified BCTs included the following: prompts/cues, instruction on how to perform the behaviour, information about health consequences, restructuring the social environment, adding objects to the environment, social support (practical), and goal setting (behaviour). The BCTTv1 mapped well onto implementation interventions directly targeting clinicians and patients and could also be used to examine the impact of system-level interventions on clinician and patient behaviour. CONCLUSIONS: The BCTTv1 can be used to characterise the active ingredients in trials of implementation interventions and provides specificity of content beyond what is given by broader intervention labels. Identification of BCTs may provide a more helpful means of accumulating knowledge on the content used in trials of implementation interventions, which may help to better inform replication efforts. In addition, prospective use of a behaviour change techniques taxonomy for developing and reporting intervention content would further aid in building a cumulative science of effective implementation interventions.

Developing a method for specifying the components of behavior change interventions in practice: the example of smoking cessation.

OBJECTIVE: There is a difference between interventions as planned and as delivered in practice. Unless we know what was actually delivered, we cannot understand "what worked" in effective interventions. This study aimed to (a) assess whether an established taxonomy of 53 smoking cessation behavior change techniques (BCTs) may be applied or adapted as a method for reliably specifying the content of smoking cessation behavioral support consultations and (b) develop an effective method for training researchers and practitioners in the reliable application of the taxonomy. METHOD: Fifteen transcripts of audio-recorded consultations delivered by England's Stop Smoking Services were coded into component BCTs using the taxonomy. Interrater reliability and potential adaptations to the taxonomy to improve coding were discussed following 3 coding waves. A coding training manual was developed through expert consensus and piloted on 10 trainees, assessing coding reliability and self-perceived competence before and after training. RESULTS: An average of 33 BCTs from the taxonomy were identified at least once across sessions and coding waves. Consultations contained on average 12 BCTs (range = 8-31). Average interrater reliability was high (88% agreement). The taxonomy was adapted to simplify coding by merging co-occurring BCTs and refining BCT definitions. Coding reliability and self-perceived competence significantly improved posttraining for all trainees. CONCLUSIONS: It is possible to apply a taxonomy to reliably identify and classify BCTs in smoking cessation behavioral support delivered in practice, and train inexperienced coders to do so reliably. This method can be used to investigate variability in provision of behavioral support across services, monitor fidelity of delivery, and identify training needs.

Desenvolvimento de um sistema multidimensional para a categorização de comportamentos na interação terapêutica: tese de doutorado de Denis Zamignani, 2007 / The development of a multidimensional system for the categorization of behaviors in the therapeutic interaction: the doctoral thesis of Denis Zamignani, 2007

Resenha da tese de doutorado de Denis Zamignani (2007), defendida no programa de pós-graduação do Instituto de Psicologia da Universidade de São Paulo e orientada pela Profa. Dra. Sonia Beatriz Meyer. O trabalho é intitulado "O desenvolvimento de um sistema multidimensional para a categorização de comportamentos na interação terapêutica". Zamignani conduz uma pesquisa de processo com a utilização de observação direta de sessões psicoterápicas para a identificação e categorização de comportamentos. Como objetivo principal da tese, o autor apresenta o desenvolvimento de um sistema de categorização de comportamentos do terapeuta e do cliente para o estudo das características da interação terapêutica e sua relação com a qualidade do atendimento psicoterápico.(AU)

Review of the doctoral thesis of Denis Zamignani (2007), submitted to the graduate program of the Institute of Psychology, University of São Paulo and directed by Prof. Sonia Beatriz Meyer. The work is named "Developing a multidimensional system for the categorization of behaviors in the therapeutic interaction. " Zamignani conducts a process research using direct observation of the psychotherapy session for the identification and categorization of behaviors. The main objective of the thesis is the development of a categorization system of behaviors of the therapist and client to study the characteristics of the therapeutic interaction and its relation to the quality of psychotherapy.(AU)

Desenvolvimento de um sistema multidimensional para a categorização de comportamentos na interação terapêutica: tese de doutorado de Denis Zamignani, 2007 / The development of a multidimensional system for the categorization of behaviors in the therapeutic interaction: the doctoral thesis of Denis Zamignani, 2007

Resenha da tese de doutorado de Denis Zamignani (2007), defendida no programa de pós-graduação do Instituto de Psicologia da Universidade de São Paulo e orientada pela Profa. Dra. Sonia Beatriz Meyer. O trabalho é intitulado "O desenvolvimento de um sistema multidimensional para a categorização de comportamentos na interação terapêutica". Zamignani conduz uma pesquisa de processo com a utilização de observação direta de sessões psicoterápicas para a identificação e categorização de comportamentos. Como objetivo principal da tese, o autor apresenta o desenvolvimento de um sistema de categorização de comportamentos do terapeuta e do cliente para o estudo das características da interação terapêutica e sua relação com a qualidade do atendimento psicoterápico.

Review of the doctoral thesis of Denis Zamignani (2007), submitted to the graduate program of the Institute of Psychology, University of São Paulo and directed by Prof. Sonia Beatriz Meyer. The work is named "Developing a multidimensional system for the categorization of behaviors in the therapeutic interaction. " Zamignani conducts a process research using direct observation of the psychotherapy session for the identification and categorization of behaviors. The main objective of the thesis is the development of a categorization system of behaviors of the therapist and client to study the characteristics of the therapeutic interaction and its relation to the quality of psychotherapy.

Identification of behaviour change techniques to reduce excessive alcohol consumption.

BACKGROUND: Interventions to reduce excessive alcohol consumption have a small but important effect, but a better understanding is needed of their 'active ingredients'. AIMS: This study aimed to (i) develop a reliable taxonomy of behaviour change techniques (BCTs) used in interventions to reduce excessive alcohol consumption (not to treat alcohol dependence) and (ii) to assess whether use of specific BCTs in brief interventions might be associated with improved effectiveness. METHODS: A selection of guidance documents and treatment manuals, identified via expert consultation, were analysed into BCTs by two coders. The resulting taxonomy of BCTs was applied to the Cochrane Review of brief alcohol interventions, and the associations between the BCTs and effectiveness were investigated using meta-regression. FINDINGS: Forty-two BCTs were identified, 34 from guidance documents and an additional eight from treatment manuals, with average inter-rater agreement of 80%. Analyses revealed that brief interventions that included the BCT 'prompt self-recording' (P = 0.002) were associated with larger effect sizes. CONCLUSIONS: It is possible to identify specific behaviour change techniques reliably in manuals and guidelines for interventions to reduce excessive alcohol consumption. In brief interventions, promoting self-monitoring is associated with improved outcomes. More research is needed to identify other behaviour change techniques or groupings of behaviour change techniques that can produce optimal results in brief interventions and to extend the method to more intensive interventions and treatment of alcohol dependence.

Differences in pain, function and coping in Multidimensional Pain Inventory subgroups of chronic back pain: a one-group pretest-posttest study.

BACKGROUND: Patients with non-specific back pain are not a homogeneous group but heterogeneous with regard to their bio-psycho-social impairments. This study examined a sample of 173 highly disabled patients with chronic back pain to find out how the three subgroups based on the Multidimensional Pain Inventory (MPI) differed in their response to an inpatient pain management program. METHODS: Subgroup classification was conducted by cluster analysis using MPI subscale scores at entry into the program. At program entry and at discharge after four weeks, participants completed the MPI, the MOS Short Form-36 (SF-36), the Hospital Anxiety and Depression Scale (HADS), and the Coping Strategies Questionnaire (CSQ). Pairwise analyses of the score changes of the mentioned outcomes of the three MPI subgroups were performed using the Mann-Whitney-U-test for significance. RESULTS: Cluster analysis identified three MPI subgroups in this highly disabled sample: a dysfunctional, interpersonally distressed and an adaptive copers subgroup. The dysfunctional subgroup (29% of the sample) showed the highest level of depression in SF-36 mental health (33.4 ± 13.9), the interpersonally distressed subgroup (35% of the sample) a modest level of depression (46.8 ± 20.4), and the adaptive copers subgroup (32% of the sample) the lowest level of depression (57.8 ± 19.1). Significant differences in pain reduction and improvement of mental health and coping were observed across the three MPI subgroups, i.e. the effect sizes for MPI pain reduction were: 0.84 (0.44-1.24) for the dysfunctional subgroup, 1.22 (0.86-1.58) for the adaptive copers subgroup, and 0.53 (0.24-0.81) for the interpersonally distressed subgroup (p = 0.006 for pairwise comparison). Significant score changes between subgroups concerning activities and physical functioning could not be identified. CONCLUSIONS: MPI subgroup classification showed significant differences in score changes for pain, mental health and coping. These findings underscore the importance of assessing individual differences to understand how patients adjust to chronic back pain.