Supporting Error Management and Safety Climate in Ambulatory Care Practices: The CIRSforte Study.

BACKGROUND: To improve patient safety, it is important that healthcare facilities learn from critical incidents. Tools such as reporting and learning systems and team meetings structure error management and promote learning from incidents. To enhance error management in ambulatory care practices, it is important to promote a climate of safety and ensure personnel share views on safety policies and procedures. In contrast to the hospital sector, little research has been dedicated to developing feasible approaches to supporting error management and safety climate in ambulatory care. In this study, we developed, implemented, and evaluated a multicomponent intervention to address how error management and safety climate can be improved in ambulatory care practices. METHODS: In a prospective 1-group pretest-posttest implementation study, we sought to encourage teams in German ambulatory practices to use proven methods such as guidelines, workshops, e-learning, (online) meetings, and e-mail newsletters. A pretest-posttest questionnaire was used to evaluate level and strength of safety climate and psychological behavioral determinants for systematic error management. Using 3 short surveys, we also assessed the state of error management in the participating practices. In semistructured interviews, we asked participants for their views on our intervention measures. RESULTS: Overall, 184 ambulatory care practices nationwide agreed to participate. Level of safety climate and safety climate strength (rwg) improved significantly. Of psychological behavioral determinants, significant improvements could be seen in "action/coping planning" and "action control." Seventy-six percent of practices implemented a new reporting and learning system or modified their existing system. The exchange of information between practices also increased over time. Interviews showed that the introductory workshop and provided materials such as report forms or instructions for team meetings were regarded as helpful. CONCLUSIONS: A significant improvement in safety climate level and strength, as well as participants' knowledge of how to analyze critical incidents, derive preventive measures and develop concrete plans suggest that it is important to train practice teams, to provide practical tips and tools, and to facilitate the exchange of information between practices. Future randomized and controlled intervention trials should confirm the effectiveness of our multicomponent intervention.Trial registration: Retrospectively registered on 18. November 2019 in German Clinical Trials Register No. DRKS00019053.

Gradient-based feature-attribution explainability methods for spiking neural networks.

Introduction: Spiking neural networks (SNNs) are a model of computation that mimics the behavior of biological neurons. SNNs process event data (spikes) and operate more sparsely than artificial neural networks (ANNs), resulting in ultra-low latency and small power consumption. This paper aims to adapt and evaluate gradient-based explainability methods for SNNs, which were originally developed for conventional ANNs. Methods: The adapted methods aim to create input feature attribution maps for SNNs trained through backpropagation that process either event-based spiking data or real-valued data. The methods address the limitations of existing work on explainability methods for SNNs, such as poor scalability, limited to convolutional layers, requiring the training of another model, and providing maps of activation values instead of true attribution scores. The adapted methods are evaluated on classification tasks for both real-valued and spiking data, and the accuracy of the proposed methods is confirmed through perturbation experiments at the pixel and spike levels. Results and discussion: The results reveal that gradient-based SNN attribution methods successfully identify highly contributing pixels and spikes with significantly less computation time than model-agnostic methods. Additionally, we observe that the chosen coding technique has a noticeable effect on the input features that will be most significant. These findings demonstrate the potential of gradient-based explainability methods for SNNs in improving our understanding of how these networks process information and contribute to the development of more efficient and accurate SNNs.

White Matter Microstructural Changes and Episodic Memory Disturbances in Late-Onset Bipolar Disorder.

Background: Bipolar disorder (BD) has been associated with distributed network disruption, but little is known on how different clinical subtypes, particularly those with an earlier and later onset of disease, are related to connectivity changes in white matter (WM) tracts. Methods: Diffusion tensor imaging (DTI) and volumetric measures were carried out in early-onset bipolar patients [(EOD) (n = 16)], late-onset bipolar disorder [(LOD)(n = 14)] and healthy controls (n = 32). We also computed ROI analysis of gray matter (GM) and white matter (WM) volumes using the regions with significant group differences in the DTI parameters. Cognitive and behavior measurements were analyzed between groups. Results: Lower fraction of anisotropy (FA) in the right hemisphere comprising anterior thalamic radiation, fornix, posterior cingulate, internal capsule, splenium of corpus callosum was observed in the LOD in comparison with EOD; additionally, lower FA was also found in the LOD in comparison with healthy controls, mostly in the right hemisphere and comprising fibers of the splenium of the corpus callosum, cingulum, superior frontal gyrus and posterior thalamic radiation; LOD also showed worse episodic memory performance than EOD; no statistical significant differences between mood symptoms, WM and GM volumes were found between BD groups. Conclusion: Even after correcting for age differences, LOD was associated with more extensive WM microstructural changes and worse episodic memory performance than EOD; these findings suggest that changes in the WM fiber integrity may be associated with a later presentation of BD, possibly due to mechanisms other than neuroprogression. However, these findings deserve replication in larger, prospective, studies.

How can General Practice be incorporated longitudinally in medical studies? Students' views on the development of a new rural health program.

Aim: Participation of medical students in the conceptual development of targeted and attractive teaching content for rural areas. Method: A questionnaire was developed to gather information on students' views of their current medical studies, career interests, and what requirements should be met by an optional rural health program in general practice. By means of an online survey in summer 2015, all medical students from the fourth preclinical semester onwards (n=2,150) at Goethe University Frankfurt were surveyed on one occasion. Statistical analysis was mainly descriptive. Personal attitudes towards a career as a family practitioner were examined for statistical significance. Further information was gathered on whether a measurable correlation exists between personal background and desired work location. Results: Of the 2,150 students that were contacted, 617 participated in the survey (response rate=28.7%). The results covered a wide range of ideas and recommendations and were representative both of medical students with a positive attitude toward general practice, as well as those that were rather critical of teaching in general practice. The students expected the planned health program to be of strong practical relevance and to acquaint them with the administrative and economic aspects of running a practice. Conclusions: By including the target group in the development process, it was possible to tailor the health program to meet the needs of future participants more precisely. Student participation can also be expected to result in greater acceptance of the program. The results on teaching content may also provide other medical faculties with orientation when developing comparable programs.

Classes of depression symptom trajectories in patients with major depression receiving a collaborative care intervention.

PURPOSE: Collaborative care is effective in improving symptoms of patients with depression. The aims of this study were to characterize symptom trajectories in patients with major depression during one year of collaborative care and to explore associations between baseline characteristics and symptom trajectories. METHODS: We conducted a cluster-randomized controlled trial in primary care. The collaborative care intervention comprised case management and behavioral activation. We used the Patient Health Questionnaire-9 (PHQ-9) to assess symptom severity as the primary outcome. Statistical analyses comprised latent growth mixture modeling and a hierarchical binary logistic regression model. RESULTS: We included 74 practices and 626 patients (310 intervention and 316 control recipients) at baseline. Based on a minimum of 12 measurement points for each intervention recipient, we identified two latent trajectories, which we labeled 'fast improvers' (60.5%) and 'slow improvers' (39.5%). At all measurements after baseline, 'fast improvers' presented higher PHQ mean values than 'slow improvers'. At baseline, 'fast improvers' presented fewer physical conditions, higher health-related quality of life, and had made fewer suicide attempts in their history. CONCLUSIONS: A notable proportion of 39.5% of patients improved only 'slowly' and probably needed more intense treatment. The third follow-up in month two could well be a sensible time to adjust treatment to support 'slow improvers'.

Cluster-randomized controlled trials evaluating complex interventions in general practices are mostly ineffective: a systematic review.

OBJECTIVES: The aim of this study was to evaluate how frequently complex interventions are shown to be superior to routine care in general practice-based cluster-randomized controlled studies (c-RCTs) and to explore whether potential differences explain results that come out in favor of a complex intervention. STUDY DESIGN AND SETTING: We performed an unrestricted search in the Central Register of Controlled Trials, MEDLINE, and EMBASE. Included were all c-RCTs that included a patient-relevant primary outcome in a general practice setting with at least 1-year follow-up. We extracted effect sizes, P-values, intracluster correlation coefficients (ICCs), and 22 quality aspects. RESULTS: We identified 29 trials with 99 patient-relevant primary outcomes. After adjustment for multiple testing on a trial level, four outcomes (4%) in four studies (14%) remained statistically significant. Of the 11 studies that reported ICCs, in 8, the ICC was equal to or smaller than the assumed ICC. In 16 of the 17 studies with available sample size calculation, effect sizes were smaller than anticipated. CONCLUSION: More than 85% of the c-RCTs failed to demonstrate a beneficial effect on a predefined primary endpoint. All but one study were overly optimistic with regard to the expected treatment effect. This highlights the importance of weighing up the potential merit of new treatments and planning prospectively, when designing clinical studies in a general practice setting.

[On the way to becoming an MD (Dr. med.): What kind of support do doctoral students need? Part 1: Survey and development of a program]. / Auf dem Weg zum Dr. med. - Welche Unterstützung brauchen Promovierende der Medizin? Teil 1: Bestandsaufnahme und Konzeptentwicklung.

In Germany, medical doctorates are regularly criticized for their insufficient quality. In order to improve the quality of doctorates and to support doctoral candidates, a department-wide doctoral research program was established at the Goethe University of Frankfurt am Main in 2011 taking into account the practical needs of doctoral students at the School of Medicine. The program development proceeded in several steps: in the first step (2009/2010), a pilot study with eleven doctoral candidates was carried out at the Institute of General Practice. Their ratings of the perceived relevance and their own knowledge of 15 topics of scientific work were used to identify a provisional need for support. Subsequently an interdisciplinary panel of experts established the program throughout the faculty. Since its implementation, a requirements analysis in the form of questionnaires has been continuously carried out in order to assess the doctoral students' prior knowledge and their preferences expressed. At the same time, systematic searches for support programs in other medical fields have been conducted throughout Germany on several occasions. On the basis of the pilot study, the research results and the expert panel discussions the following topics were found to be particularly relevant: principles of good scientific practice, literature search, reference management, organization and structure of a doctoral thesis, formatting of Word documents, clinical epidemiology and data management. A specific, stepwise development process was used to design a concept for the faculty of medicine that pays close attention to the knowledge and interests of doctoral candidates. The establishment of the doctoral research program in Frankfurt and the results of its evaluation are presented in a second article (Paulitsch et al., 2016).

[On the way to becoming an MD (Dr. med.): What kind of support do doctoral students need? Part 2: Establishing the program]. / Auf dem Weg zum Dr. med. - Welche Unterstützung brauchen Promovierende der Medizin? Teil 2: Etablierung des Konzepts.

The poor quality of medical dissertations has repeatedly been criticized by scientific and higher education institutions. In medicine, doctoral students rated their own knowledge of fundamental scientific issues as low. The establishment of a doctoral research program could solve this problem. However, no scientific paper has yet been published showing how such support programs should be designed. Here we present an example of such a design on the basis of the doctoral research program which the Faculty of Medicine at the Goethe University, Frankfurt am Main, established in 2011. Using requirements analyses, eight basic courses have been developed that can be attended separately but are considered to contain essential information for all doctorates. To ensure a high quality of the doctoral research program and to take into account the needs of doctoral students, both the individual courses and the doctoral research program as a whole were evaluated. The doctoral research program has been very well accepted by doctoral students, with a total of 449 doctoral students, who attended an average of five courses from 2011 to 2014. The total number of participants amounted to 2,302 in 159 courses. The results of the evaluation show that on average all the basic courses were considered to be 'good' or 'very good'. After participating in eight courses, the doctoral students' overall evaluation of the doctoral research program resulted in a very positive assessment of the overall concept. Further aspects, such as the examination of the impact of participation in the doctoral research program on dissertation quality, are pending. Due to the positive feedback from participants, we recommend that other faculties establish similar programs.

Factor structure and measurement invariance of the Patient Health Questionnaire-9 for female and male primary care patients with major depression in Germany.

BACKGROUND: Depression is characterized by gender-specific distinctions, with women being affected more often than men. The Patient Health Questionnaire-9 (PHQ-9) is frequently used to assess depression in primary healthcare. Previous research has yielded heterogeneous findings on the factor structure, and little is known of its measurement invariance across gender. The aim of this study was 1) to evaluate the fit of four previously hypothesized models of PHQ-9 factor structure in patients with major depression in German family practices, and 2) to test the measurement invariance of the best-fitting model across gender. METHODS: We used the baseline data from a cluster-randomized controlled trial. The diagnosis of major depression was based on the PHQ-9 and confirmed by the family physician. We calculated Confirmatory Factor Analyses (CFA) to assess which of the previously hypothesized factor structures (a one- and three different two-factor solutions) would best fit our data. We also calculated Complex Survey Analyses (CSA) and Multi Sample Analyses (MSA). RESULTS: We included 626 participants (75.4% women and 24.6% men). A two-factor model with five 'somatic' labeled items and four 'non-somatic' labeled items presented the best fit indices. The model measurement was invariant across gender. LIMITATIONS: The inclusion criteria used in the main trial mean the study sample was not representative of all patients with major depression in German family practices. CONCLUSIONS: The measurement invariance across gender revealed by this study is a precondition for the use of the PHQ-9 without gender-specific adaptation in patients with major depression in German family practices.

Implementation of chronic illness care in German primary care practices--how do multimorbid older patients view routine care? A cross-sectional study using multilevel hierarchical modeling.

BACKGROUND: In primary care, patients with multiple chronic conditions are the rule rather than the exception. The Chronic Care Model (CCM) is an evidence-based framework for improving chronic illness care, but little is known about the extent to which it has been implemented in routine primary care. The aim of this study was to describe how multimorbid older patients assess the routine chronic care they receive in primary care practices in Germany, and to explore the extent to which factors at both the practice and patient level determine their views. METHODS: This cross-sectional study used baseline data from an observational cohort study involving 158 general practitioners (GP) and 3189 multimorbid patients. Standardized questionnaires were employed to collect data, and the Patient Assessment of Chronic Illness Care (PACIC) questionnaire used to assess the quality of care received. Multilevel hierarchical modeling was used to identify any existing association between the dependent variable, PACIC, and independent variables at the patient level (socio-economic factors, weighted count of chronic conditions, instrumental activities of daily living, health-related quality of life, graded chronic pain, no. of contacts with GP, existence of a disease management program (DMP) disease, self-efficacy, and social support) and the practice level (age and sex of GP, years in current practice, size and type of practice). RESULTS: The overall mean PACIC score was 2.4 (SD 0.8), with the mean subscale scores ranging from 2.0 (SD 1.0, subscale goal setting/tailoring) to 3.5 (SD 0.7, delivery system design). At the patient level, higher PACIC scores were associated with a DMP disease, more frequent GP contacts, higher social support, and higher autonomy of past occupation. At the practice level, solo practices were associated with higher PACIC values than other types of practice. CONCLUSIONS: This study shows that from the perspective of multimorbid patients receiving care in German primary care practices, the implementation of structured care and counseling could be improved, particularly by helping patients set specific goals, coordinating care, and arranging follow-up contacts. Studies evaluating chronic care should take into consideration that a patient's assessment is associated not only with practice-level factors, but also with individual, patient-level factors. TRIAL REGISTRATION: Current Controlled Trials ISRCTN89818205.

Long-term effects of a collaborative care intervention on process of care in family practices in Germany: a 24-month follow-up study of a cluster randomized controlled trial.

OBJECTIVE: The aims of this study were (1) to assess the long-term effects of a collaborative care intervention for patients with depression on process of care outcomes, and (2) to describe whether case management was continued after the end of the original one-year intervention. METHODS: This 24-month follow-up of a randomized controlled trial took place 12 months after the end of the 1-year intervention. Data collection occurred by means of self-rating questionnaires and from medical records. We calculated linear mixed and logistic generalized estimating equation models. RESULTS: Of the 626 patients included at baseline, 439 (70.1%) participated in this follow-up. Intervention recipients gave higher ratings than control recipients in terms of mean overall Patient Assessment of Chronic Illness Care (PACIC) scores (3.12 vs. 2.86; P = .019), but no difference was found in medication adherence (mean Morisky score 2.59 vs. 2.65, P = .56), prescribed antidepressant medications (60.2% vs. 55.1%; P = .25), visits to the family physician (15.96 vs. 14.46, P = .58) or mental health specialist (3.01 vs. 2.94, P = .94) over the 12 month follow-up period. Case management was continued for 47 (22.5%) selected intervention patients after the original intervention had ended. CONCLUSION: At 24 months, intervention and control recipients had different PACIC ratings, but other process of care outcomes did not differ. PRACTICE IMPLICATIONS: The main effects of the intervention are apparent at 12 months.

A survey on worries of pregnant women--testing the German version of the Cambridge worry scale.

BACKGROUND: Pregnancy is a transition period in a woman's life characterized by increased worries and anxiety. The Cambridge Worry Scale (CWS) was developed to assess the content and extent of maternal worries in pregnancy. It has been increasingly used in studies over recent years. However, a German version has not yet been developed and validated.The aim of this study was (1) to assess the extent and content of worries in pregnancy on a sample of women in Germany using a translated and adapted version of the Cambridge Worry Scale, and (2) to evaluate the psychometric properties of the German version. METHODS: We conducted a cross-sectional study and enrolled 344 pregnant women in the federal state of Baden-Württemberg, Germany. Women filled out structured questionnaires that contained the CWS, the Spielberger-State-Trait-Anxiety Inventory (STAI), as well as questions on their obstetric history. Antenatal records were also analyzed. RESULTS: The CWS was well understood and easy to fill in. The major worries referred to the process of giving birth (CWS mean value 2.26) and the possibility that something might be wrong with the baby (1.99), followed by coping with the new baby (1.57), going to hospital (1.29) and the possibility of going into labour too early (1.28). The internal consistency of the scale (0.80) was satisfactory, and we found a four-factor structure, similar to previous studies. Tests of convergent validity showed that the German CWS represents a different construct compared with state and trait anxiety but has the desired overlap. CONCLUSIONS: The German CWS has satisfactory psychometric properties. It represents a valuable tool for use in scientific studies and is likely to be useful also to clinicians.