Exploring Norwegian homecare healthcare professionals' perceptions of risk and the link to high-quality care: a qualitative multiple case study.

OBJECTIVES: Homecare is a critical component of the ongoing restructuring of healthcare worldwide, given the shift from institution- to home-based care. The homecare evidence base still contains significant gaps: There is a lack of knowledge regarding quality and safety work and interventions. This study explores how home healthcare professionals perceive and use the concept of risk to guide them in providing high-quality healthcare while maintaining resilience. DESIGN: The study design is a qualitative multiple case study. The phenomena explored were risk perception, sensemaking and adaptations of care delivered to patients in their homes. Inductive content analysis was conducted. SETTING: The study was conducted in three Norwegian municipalities. Each municipality was defined as a single case. PARTICIPANTS: Interviews with healthcare professionals were performed both individually and in focus groups of three to five persons. 19 interviews with 35 informants were conducted: 11 individual semistructured interviews and 8 focus groups. RESULTS: Four themes were identified: 'professionalism is constantly prioritising and aligning care based on here-and-now observations' 'teamwork feels safe and enhances quality' 'taking responsibility for system risk' and 'reluctantly accepting the extended expectations from society'. CONCLUSIONS: To make sense of risk when aspiring for high-quality care in everyday work, the healthcare professionals in this sample mainly used their clinical gaze, gut feeling and experience to detect subtle changes in the patients' condition. Assessing risk information, not only individually but also as a team, was reportedly crucial for high-quality care. Healthcare professionals emphasised the well-being, safety and soundness of the patients when acting on risk information. They felt obliged to act on their gut feeling, moral compass and clinical understanding of quality.

Measuring digital stress in Norway: translation and validation of the Digital Stressors Scale.

Introduction: A better understanding of the effects of the widespread use of information and communication technology (ICT) among employees is important for maintaining their wellbeing, work-life balance, health, and productivity. Thus, having robust and reliable measurement instruments is crucial for quantifying the effects of ICT use, and facilitating the development of effective strategies to promote employee wellbeing. Methods: Therefore, we translated the Digital Stressors Scale (DSS) to Norwegian and administered it to a convenience sample of 1,228 employees, using the forward-backward translation method. The DSS is a new multidimensional scale consisting of 50 items that measure 10 digital stressors (first-order factors), and a second-order factor of DSS. We assessed the scale's construct validity with confirmatory factor analysis, first by assessing the model fit of each of the sub-scales separately, to facilitate the disaggregated measurement approach, and then the model fit of the whole scale with the second-order factor. Results: Among the participants, 45.6% completed the whole questionnaire (n = 560). The original solution's fit was unsatisfactory in our sample, which led us to perform an exploratory factor analysis. We propose a shorter 8-factor scale with 37 of the original items, which also shows good internal consistency for all the first-order factors. Discussion: We argue that the disaggregated approach is beneficial for the investigation of the specific creators of digital stress and that conceptually sound measurement models are needed in order to facilitate a more rigorous empirical investigation of digital stressors.

Machine Learning-Based Detection of Parkinson's Disease From Resting-State EEG: A Multi-Center Study.

Resting-state EEG (rs-EEG) has been demonstrated to aid in Parkinson's disease (PD) diagnosis. In particular, the power spectral density (PSD) of low-frequency bands (δ and θ) and high-frequency bands (α and ß) has been shown to be significantly different in patients with PD as compared to subjects without PD (non-PD). However, rs-EEG feature extraction and the interpretation thereof can be time-intensive and prone to examiner variability. Machine learning (ML) has the potential to automatize the analysis of rs-EEG recordings and provides a supportive tool for clinicians to ease their workload. In this work, we use rs-EEG recordings of 84 PD and 85 non-PD subjects pooled from four datasets obtained at different centers. We propose an end-to-end pipeline consisting of preprocessing, extraction of PSD features from clinically-validated frequency bands, and feature selection. Following, we assess the classification ability of the features via ML algorithms to stratify between PD and non-PD subjects. Further, we evaluate the effect of feature harmonization, given the multi-center nature of the datasets. Our validation results show, on average, an improvement in PD detection ability (69.6% vs. 75.5% accuracy) by logistic regression when harmonizing the features and performing univariate feature selection (k = 202 features). Our final results show an average global accuracy of 72.2% with balanced accuracy results for all the centers included in the study: 60.6%, 68.7%, 77.7%, and 82.2%, respectively.Clinical relevance- We present an end-to-end pipeline to extract clinically relevant features from rs-EEG recordings that can facilitate the analysis and detection of PD. Further, we provide an ML system that shows a good performance in detecting PD, even in the presence of centers with different acquisition protocols. Our results show the relevance of harmonizing features and provide a good starting point for future studies focusing on rs-EEG analysis and multi-center data.

Specific neuropsychiatric symptoms are associated with functional decline trajectories in Alzheimer's disease and Lewy body dementia: a five-year follow-up study.

Background: Neuropsychiatric symptoms (NPS) are often overlooked and under-identified symptoms associated with dementia, despite their significant impact on the prognosis of individuals living with the disease. The specific role of certain NPS in functional prognosis remains unclear. Aims: To determine the association of different NPS with functional decline in people living with Alzheimer's disease (AD) or Lewy body dementia (LBD). Methods: This is an analysis of data from the Dementia Study of Western Norway (DemVest) with 196 patients included of which 111 had AD and 85 LBD. The Neuropsychiatric Inventory (NPI) and the Rapid Disability Rating Scale (RDRS-2) for activities of daily living were administered annually for 5 years. NPI total score and individual items with RDRS-2 trajectories were analyzed with linear mixed models. Results: The LBD group exhibited higher levels of functional impairment and a greater burden of NPS at baseline. Over the 5-year follow-up, hallucinations, aggression, depression, anxiety, apathy, disinhibition, aberrant motor behavior, nighttime behavior disturbances, and abnormal eating patterns were significantly associated with the decline in functional abilities in individuals with AD, as well as irritability and aberrant motor behavior in those with LBD. Discussion: These results highlight the relevance of early detection and intervention of these particularly relevant NPS, due to its potential of also impacting physical function. Better detection and management of these NPS could improve functional prognosis in people living with dementia. Conclusion: Specific NPS demonstrate relevant distinct associations with Longitudinal trajectories of functional decline in AD and LBD.

Assessing the Effect of Nonvisual Information Factors in Pandemic-Related Video Communication: Randomized Controlled Between-Subjects Experiment.

BACKGROUND: Videos have been an important medium for providing health and risk communication to the public during the COVID-19 pandemic. Public health officials, health care professionals, and policy makers have used videos to communicate pandemic-related content to large parts of the population. Evidence regarding the outcomes of such communication, along with their determinants, is however limited. OBJECTIVE: The aim of this study was to test the impact of nonvisual information factors of video communication on 4 outcomes: trust, comprehension, intentions, and behavior. METHODS: Twelve short health communication videos related to pandemics were produced and shown to a large sample of participants, applying a randomized controlled between-subjects design. Three factors were included in the creation of the videos: the topic (exponential growth, handwashing, and burden of pandemics on the health care system), the source (expert and nonexpert), and a call to action (present or absent). Participants were randomly assigned to 1 video intervention, and 1194 valid replies were collected. The data were analyzed using factorial ANOVA. RESULTS: The 3 pandemic-related topics did not affect trust, comprehension, intentions, or behavior. Trust was positively influenced by an expert source (2.5%), whereas a nonexpert source instead had a positive effect on the proxy for behavior (5.7%) compared with the expert source. The inclusion of a call to action had a positive effect on both trust (4.1%) and comprehension (15%). CONCLUSIONS: Trust and comprehension in pandemic-related video communication can be enhanced by using expert sources and by including a call to action, irrespective of the topic being communicated. Intentions and behavior appear to be affected to a small extent by the 3 factors tested in this study. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/34275.

The assessment of qualitative olfactory dysfunction in COVID-19 patients: a systematic review of tools and their content validity.

Background: There is a lack of overview of the tools used to assess qualitative olfactory dysfunction, including parosmia and phantosmia, following COVID-19 illness. This could have an impact on the diagnosis and treatment offered to patients. Additionally, the formulations of symptoms are inconsistent and often unclear, and consensus around the wording of questions and responses is needed. Aim of study: The aim of this systematic review is to provide an overview of tools used to assess qualitative olfactory dysfunction after COVID-19, in addition to addressing the content validity (i.e., item and response formulations) of these tools. Methods: MEDLINE, Web of Science, and EMBASE were searched 5th of August 2022 and updated on the 25th of April 2023 to identify studies that assess qualitative olfactory dysfunction in COVID-19 patients. Primary outcomes were the tool used (i.e., questionnaire or objective test) and item and response formulations. Secondary outcomes included psychometric properties, study design, and demographic variables. Results: The assessment of qualitative olfactory dysfunction is characterized by heterogeneity, inconsistency, and lack of validated tools to determine the presence and degree of symptoms. Several tools with overlapping and distinct features were identified in this review, of which some were thorough and detailed, while others were merely assessing the presence of symptoms as a binary measure. Item and response formulations are also inconsistent and often used interchangeably, which may lead to confusion, incorrect diagnoses, and inappropriate methods for solving the problem. Conclusions: There is an unmet need for a reliable and validated tool for assessing qualitative olfactory dysfunction, preferably one that also captures quantitative olfactory issues (i.e., loss of smell), to ensure time-effective and specific assessment of the ability to smell. A consensus around the formulation of items and response options is also important to increase the understanding of the problem, both for clinicians, researchers, and the patient, and ultimately to provide the appropriate diagnosis and treatment. Registration and protocol: The URL is https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=351621. A preregistered protocol was submitted and accepted (12.09.22) in the International prospective register of systematic reviews (PROSPERO) with the registration number CRD42022351621.

Spectral features of resting-state EEG in Parkinson's Disease: A multicenter study using functional data analysis.

OBJECTIVE: This study aims 1) To analyse differences in resting-state electroencephalogram (rs-EEG) spectral features of Parkinson's Disease (PD) and healthy subjects (non-PD) using Functional Data Analysis (FDA) and 2) To explore, in four independent cohorts, the external validity and reproducibility of the findings using both epoch-to-epoch FDA and averaged-epochs approach. METHODS: We included 169 subjects (85 non-PD; 84 PD) from four centres. Rs-EEG signals were preprocessed with a combination of automated pipelines. Sensor-level relative power spectral density (PSD), dominant frequency (DF), and DF variability (DFV) features were extracted. Differences in each feature were compared between PD and non-PD on averaged epochs and using FDA to model the epoch-to-epoch change of each feature. RESULTS: For averaged epochs, significantly higher theta relative PSD in PD was found across all datasets. Also, higher pre-alpha relative PSD was observed in three of four datasets in PD patients. For FDA, similar findings were achieved in theta, but all datasets showed consistently significant posterior pre-alpha differences across multiple epochs. CONCLUSIONS: Increased generalised theta, with posterior pre-alpha relative PSD, was the most reproducible finding in PD. SIGNIFICANCE: Rs-EEG theta and pre-alpha findings are generalisable in PD. FDA constitutes a reliable and powerful tool to analyse epoch-to-epoch the rs-EEG.

Effectiveness of eHealth Interventions Targeting Employee Health Behaviors: Systematic Review.

BACKGROUND: The number of people with noncommunicable diseases is increasing. Noncommunicable diseases are the major cause of disability and premature mortality worldwide, associated with negative workplace outcomes such as sickness absence and reduced work productivity. There is a need to identify scalable interventions and their active components to relieve disease and treatment burden and facilitate work participation. eHealth interventions have shown potential in clinical and general populations to increase well-being and physical activity and could be well suited for workplace settings. OBJECTIVE: We aimed to provide an overview of the effectiveness of eHealth interventions at the workplace targeting employee health behaviors and map behavior change techniques (BCTs) used in these interventions. METHODS: A systematic literature search was performed in PubMed, Embase, PsycINFO, Cochrane CENTRAL, and CINAHL in September 2020 and updated in September 2021. Extracted data included participant characteristics, setting, eHealth intervention type, mode of delivery, reported outcomes, effect sizes, and attrition rates. Quality and risk of bias of the included studies were assessed using the Cochrane Collaboration risk-of-bias 2 tool. BCTs were mapped in accordance with the BCT Taxonomy v1. The review was reported according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist. RESULTS: In total, 17 randomized controlled trials met the inclusion criteria. The measured outcomes, treatment and follow-up periods, content of eHealth interventions, and workplace contexts had high heterogeneity. Of the 17 studies, 4 (24%) reported unequivocally significant findings for all primary outcomes, with effect sizes ranging from small to large. Furthermore, 53% (9/17) of the studies reported mixed results, and 24% (4/17) reported nonsignificant results. The most frequently targeted behavior was physical activity (15/17, 88% of the studies); the least frequently targeted behavior was smoking (2/17, 12% of the studies). Attrition varied greatly across the studies (0%-37%). Risk of bias was high in 65% (11/17) of the studies, with some concerns in the remaining 35% (6/17). Interventions used various BCTs, and the most frequently used were feedback and monitoring (14/17, 82%), goals and planning (10/17, 59%), antecedents (10/17, 59%), and social support (7/17, 41%). CONCLUSIONS: This review suggests that, although eHealth interventions may have potential, there are still unanswered questions regarding their effectiveness and what drives the mechanism behind these effects. Low methodological quality, high heterogeneity and complexity, the characteristics of the included samples, and often high attrition rates challenge the investigation of the effectiveness and the making of sound inferences about the effect sizes and significance of the results. To address this, new studies and methods are needed. A megastudy design in which different interventions are evaluated in the same population over the same period on the same outcomes may solve some of the challenges. TRIAL REGISTRATION: PROSPERO CRD42020202777; https://www-crd-york-ac-uk/prospero/display_record.php?RecordID=202777.

Psychiatric patients' attitudes towards being hospitalized: a national multicentre study in Norway.

BACKGROUND: The aim of the study was to explore patients' attitudes towards voluntary and involuntary hospitalization in Norway, and predictors for involuntary patients who wanted admission. METHODS: A multi-centre study of consecutively admitted patients to emergency psychiatric wards over a 3 months period in 2005-06. Data included demographics, admission status (voluntary / involuntary), symptom levels, and whether the patients expressed a wish to be admitted regardless of judicial status. To analyse predictors of wanting admission (binary variable), a generalized linear mixed modelling was conducted, using random intercepts for the site, and fixed effects for all variables, with logit link-function. RESULTS: The sample comprised of 3.051 patients of witch 1.232 (40.4%) were being involuntary hospitalised. As expected 96.5% of the voluntary admitted patients wanted admission, while as many as 29.7% of the involuntary patients stated that they wanted the same. The involuntary patients wanting admission were less likely to be transported by police, had less aggression, hallucinations and delusions, more depressed mood, less use of drugs, less suicidality before admission, better social functioning and were less often referred by general practitioners compared with involuntary patients who did not want admission. In a multivariate analysis, predictors for involuntary hospitalization and wanting admission were, not being transported by police, less aggression and less use of drugs. CONCLUSIONS: Almost a third of the involuntary admitted patients stated that they actually wanted to be hospitalized. It thus seems to be important to thoroughly address patients' preferences, both before and after admission, regarding whether they wish to be hospitalized or not.

Specialized healthcare practitioners' challenges in performing video consultations to patients in Nordic Countries - a systematic review and narrative synthesis.

BACKGROUND: Video consultations are becoming an important telemedicine service in Nordic countries. Its use in specialized healthcare increased significantly during COVID-19 pandemic. Despite advantages video consultations have, it may also produce challenges for practitioners. Identifying and understanding these challenges may contribute to how managers can support these practitioners and thereby improve work related wellbeing and quality of care. METHODS: We designed this study as systematic review of the literature with narrative synthesis and conducted a thematic analysis. We conducted review about the use of video consultations in specialized healthcare in Nordic countries to identify and categorize challenges experienced and/or perceived by practitioners. We searched Ovid MEDLINE(R), EMBASE, APA PsycINFO, and CINAH, from 2011 to 2021. Eligibility criteria were population - practitioners in specialized healthcare with experience in video consultations to patients, interest - challenges experienced and/or perceived by practitioners and, context - outpatient clinics in Nordic countries. RESULTS: We included four qualitative and one mixed method studies, published between 2018 and 2021 in Norway, Denmark, and Sweden. By thematic analysis we identified three main themes: challenges related to video consultation, challenges related to practitioner and, challenges related to patient. These themes are composed of 8 categories: technology uncertainties, environment and surroundings, preparation for requirements, clinical judgment, time management, practitioners' idiosyncrasies, patients' idiosyncrasies and patients' suitability and appropriateness. Challenges from technology uncertainties category were most frequent (dominant) across all clinical specializations. CONCLUSION: Findings indicate the scarcity of the research and provide rationale for further research addressing challenges in providing video consultations in the Nordic context. We suggest updating this review when the amount of available research increases.

Exponential Growth Bias of Infectious Diseases: Protocol for a Systematic Review.

BACKGROUND: Humans struggle to grasp the extent of exponential growth, which is essential to comprehend the spread of an infectious disease. Exponential growth bias is the tendency to linearize exponential functions when assessing them intuitively. Effective public health communication about the nonlinear nature of infectious diseases has strong implications for the public's compliance with strict restrictions. However, there is a lack of synthesized knowledge on the communication of the exponential growth of infectious diseases and on the outcomes of exponential growth bias. OBJECTIVE: This systematic review identifies, evaluates, and synthesizes the findings of empirical studies on exponential growth bias of infectious diseases. METHODS: A systematic review will be conducted using the PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) 2015 statement. Eligibility criteria include empirical studies of exponential growth bias of infectious diseases regardless of methodology. We include studies both with and without interventions/strategies. For information sources, we include the following five bibliographic databases: MEDLINE, Embase, Cochrane Library, PsychINFO, and Web of Science Core Collection. The risk of bias will be assessed using RoB 2 (Risk of Bias 2) and STROBE (Strengthening the Reporting of Observational Studies in Epidemiology). Data synthesis will be achieved through a narrative synthesis. RESULTS: By February 2022, we included 11 experimental studies and 1 cross-sectional survey study. Preliminary themes identified are the presence of exponential growth bias, the effect of exponential growth bias, and communication strategies to mitigate exponential growth bias. Data extraction, narrative synthesis, and the risk of bias assessment are to be completed by February 2023. CONCLUSIONS: We anticipate that this systematic review will draw some lines related to how people comprehend and misperceive exponential growth and its consequences for infectious disease mitigation and communication. Furthermore, the study will conclude with the limitations of the research and suggestions for future research. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/37441.

A Systematic Review of "Helicopter Parenting" and Its Relationship With Anxiety and Depression.

Background: Emerging evidence suggests that overprotective and controlling parenting, often referred to as "helicopter parenting" may have negative implications on the child's mental health such as anxiety and depression. However, no systematic review on the topic exists. Objective: Conducting a systematic review to identify all studies where the relationship between helicopter parenting and symptoms of anxiety and/or depression have been investigated. Method: A systematic literature search conducted the 3rd of November 2021 yielded 38 eligible studies. Since helicopter parenting is a fairly new construct, this review considered parental control and overprotective parenting to be dimensions of helicopter parenting and thus, eligible for the study. Study quality was assessed in accordance with Campbells Validity Typology. Results: The majority of the studies included in this review found a direct relationship between helicopter parenting and symptoms of anxiety and depression. However, validity problems undermine these findings with regarding to assessing the causal relationship between helicopter parenting and these symptoms. There were no longitudinal studies of sufficient quality to determine if helicopter parenting precedes the outcome of anxiety and depression. Conclusion: Even though the majority of the studies included in this systematic review found a relationship between helicopter parenting and anxiety and depression, the evidence for this relationship is insufficient and must be investigated further. Findings suggest that it is important to include both maternal and paternal parenting style in future studies as they could affect the outcome of anxiety and depression differently. Systematic Review Registration: PROSPERO 2020 CRD42020167465, https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=167465.

Creating Effective, Evidence-Based Video Communication of Public Health Science (COVCOM Study): Protocol for a Sequential Mixed Methods Effect Study.

BACKGROUND: The nonlinear nature of contagious diseases and the potential for exponential growth can be difficult to grasp for the general public. This has strong implications for public health communication, which needs to be both easily accessible and efficient. A pandemic is an extreme situation, and the accompanying strict societal measures are generally easier to accept if one understands the underlying reasoning behind them. Bringing about informed attitude change and achieving compliance to strict restrictions requires explanations of scientific concepts and terminologies that laypersons can understand. OBJECTIVE: The aim of the project is to develop effective, evidence-based modes of video communication for translating complex, but important, health messages about pandemics to both the general population and decision makers. The study uses COVID-19 as a case to learn and prepare society for handling the ongoing and future pandemics, as well as to provide evidence-based tools for the science communication toolbox. METHODS: The project applies a mixed methods design, combining qualitative methods (eg, interviews, observational studies, literature reviews) and quantitative methods (eg, randomized controlled trials [RCTs]). The project brings together researchers from a wide range of academic fields, as well as communication industry professionals. RESULTS: This study has received funding from the Trond Mohn Foundation through the Research Council of Norway's "COVID-19 Emergency Call for Proposals" March 2020. Recruitment and data collection for the exploratory first phase of the project ran from February 2021 to March 2021. Creative communication work started in May 2021, and the production of videos for use in the RCTs in the final phase of the project started in September 2021. CONCLUSIONS: The COVCOM project will take on several grand challenges within the field of communicating science and provide evidence-based tools to the science communication toolbox. A long-term goal of the project is to contribute to the creation of a more resilient health care system by developing communication responses tailormade for different audiences, preparing society for any future pandemic. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/34275.

The Role of Recipient Characteristics in Health Video Communication Outcomes: Scoping Review.

BACKGROUND: The importance of effective communication during public health emergencies has been highlighted by the World Health Organization, and it has published guidelines for effective communication in such situations. With video being a popular medium, video communication has been a growing area of study over the past decades and is increasingly used across different sectors and disciplines, including health. Health-related video communication gained momentum during the SARS-CoV-2 pandemic, and video was among the most frequently used modes of communication worldwide. However, although much research has been done regarding different characteristics of video content (the message) and its delivery (the messenger), there is a lack of knowledge about the role played by the characteristics of the recipients for the creation of effective communication. OBJECTIVE: The aim of this review is to identify how health video communication outcomes are shaped by recipient characteristics, as such characteristics might affect the effectiveness of communication. The main research question of the study is as follows: do the characteristics of the recipients of health videos affect the outcomes of the communication? METHODS: A scoping review describing the existing knowledge within the field was conducted. We searched for literature in 3 databases (PubMed, Scopus, and Embase) and defined eligibility criteria based on the relevance to the research question. Recipient characteristics and health video communication outcomes were identified and classified. RESULTS: Of the 1040 documents initially identified, 128 (12.31%) met the criteria for full-text assessment, and 39 (3.75%) met the inclusion criteria. The included studies reported 56 recipient characteristics and 42 communication outcomes. The reported associations between characteristics and outcomes were identified, and the potential research opportunities were discussed. Contributions were made to theory development by amending the existing framework of the Integrated-Change model, which is an integrated model of motivational and behavioral change. CONCLUSIONS: Although several recipient characteristics and health video communication outcomes were identified, there is a lack of robust empirical evidence on the association between them. Further research is needed to understand how the preceding characteristics of the recipients might affect the various outcomes of health video communication.

Association Between Amygdala Volume and Trajectories of Neuropsychiatric Symptoms in Alzheimer's Disease and Dementia With Lewy Bodies.

Introduction: The amygdala is implicated in psychiatric illness. Even as the amygdala undergoes significant atrophy in mild dementia, amygdala volume is underexplored as a risk factor for neuropsychiatric symptoms (NPS). Objective: To analyze the association between baseline amygdala volume and the longitudinal trajectories of NPS and cognitive decline in Alzheimer's disease (AD) and dementia with Lewy bodies (DLB) over 5 years. Methods: Eighty-nine patients with mild dementia were included (AD = 55; DLB = 34). Amygdala volume was segmented from structural magnetic resonance images (sMRI) using a semi-automatic method (Freesurfer 6.0) and normalized by intracranial volumes. The intracranial volume-normalized amygdala was used as a predictor of the Neuropsychiatric Inventory (NPI) total score, ordinal NPI item scores (0 = absence of symptoms, 1-3 = mild symptoms, ≥4 = clinically relevant symptoms), and Mini-Mental State Examination (MMSE) as measured annually over 5 years using gamma, ordinal, and linear mixed-effects models, respectively. The models were adjusted for demographic variables, diagnosis, center of sMRI acquisition, and cognitive performance. Multiple testing-corrected p-values (q-values) are reported. Results: Larger intracranial volume-normalized amygdala was associated with less agitation/aggression (odds ratio (OR) = 0.62 [0.43, 0.90], p = 0.011, q = 0.038) and less MMSE decline per year (fixed effect = 0.70, [0.29, 1.03], p = 0.001, q = 0.010) but more depression (OR = 1.49 [1.09, 2.04], p = 0.013, q = 0.040). Conclusions: Greater amygdala volume in mild dementia is associated with lower odds of developing agitation/aggression, but higher odds of developing depression symptoms during the 5-year study period.

Health authorities' health risk communication with the public during pandemics: a rapid scoping review.

BACKGROUND: Responses from the H1N1 swine flu pandemic and the recent COVID-19 coronavirus pandemic provide an opportunity for insight into the role of health authorities' ways of communicating health risk information to the public. We aimed to synthesise the existing evidence regarding different modes of communication used by health authorities in health risk communication with the public during a pandemic. METHODS: We conducted a rapid scoping review. MEDLINE and EMBASE were searched for publications in English from January 2009 through October 2020, covering both the full H1N1 pandemic and the response phase during the COVID-19 pandemic. The search resulted in 1440 records, of which 48 studies met our eligibility criteria. RESULTS: The present review identified studies across a broad interdisciplinary field of health risk communication. The majority focused on the H1N1 pandemic and the COVID-19 pandemic. A content analysis of the studies identified three categories for modes of communication: i) communication channels, ii) source credibility and iii) how the message is communicated. The identified studies on social media focused mainly on content and engagement, while studies on the effect of the use of social media and self-protective behaviour were lacking. Studies on the modes of communication that take the diversity of receivers in the field into account are lacking. A limited number of studies of health authorities' use of graphic and audio-visual means were identified, yet these did not consider/evaluate creative communication choices. CONCLUSION: Experimental studies that investigate the effect of health authorities' videos and messages on social media platforms and self-protective behaviour are needed. More studies are needed across the fields of health risk communication and media studies, including visual communication, web design, video and digital marketing, at a time when online digital communication is central to reaching the public.

Younger age is associated with higher levels of self-reported affective and cognitive sequelae six months post-cardiac arrest.

BACKGROUND: Affective and cognitive sequelae are frequently reported in cardiac arrest survivors; however, little is known about the risk factors. We assessed the hypothesis that self-reported affective and cognitive sequelae six months after OHCA may be associated with demography, acute care and cerebral outcome. METHODS: This is a sub-study of the multicentre "Target Temperature Management for 48 vs. 24 h and Neurologic Outcome after Out-of-Hospital Cardiac Arrest: A Randomised Clinical Trial" (the TTH48 trial) investigating the effect of prolonged TTM at 33 ±â€¯1 °C. We invited patients with good outcome on the Cerebral Performances Categories (CPC score ≤ 2) to answer questionnaires on anxiety, depression, emotional distress, perceived stress and cognitive failures six months post OHCA. RESULTS: In total 79 of 111 eligible patients were included in the analysis. There were no significant differences in baseline characteristics between the included group and the group lost to follow-up. Younger age was a negative predictor across all self-reported outcomes, even when controlling for gender, ROSC time, treatment allocation, cognitive impairment and global outcome (CPC 1 or 2). Female gender was a predictor of anxiety, though this should be interpreted cautiously as only eight women participated. A CPC score of 2 score was a negative predictor of self-reported affective outcomes, albeit not for self-reported cognitive failures. CONCLUSION: Younger age was associated with higher levels of self-reported affective and cognitive sequelae six months post OHCA. Female gender may be associated with self-reported anxiety. A higher CPC score may be a proxy for self-reported affective sequelae.

Biomarker prognostication of cognitive impairment may be feasible even in out-of hospital cardical arrest survivors with good neurological outcome.

BACKGROUND: Patients surviving out-of hospital cardicac arrest, with good neurological outcome according to Cerebral Performance Category, frequently have neuropsychological impairment. We studied whether biomarker data (S-100b and neuron-specific enolase) obtained during the ICU stay predicted cognitive impairment 6 months after resuscitation. METHODS: Patients (N = 79) with a CPC-score ≤2 were recruited from two trial sites taking part in the TTH48 trial comparing targeted temperature management (TTM) for 48 h vs. 24 h at 33 ± 1 °C. We assessed patients 6 months after the OHCA. We measured biomarkers S-100b and NSE at arrival and at 24, 48 and 72 h after reaching the target temperature of 33 ± 1 °C. Four cognitive domain z-scores were calculated, and global cognitive impairment was defined as z < -1.67 on at least 3 out of 13 cognitive tests. Non-parametric correlations were used to assess the relationship between cognitive domain and biomarkers. ROC curves were used to assess prediction of cognitive impairment from the biomarkers. Logistic regression was used to investigate whether TTM duration moderated biomarker prediction of cognitive impairment. RESULTS: Cognitive impairment was present in 22% of the patients with memory impairment being the most common. The biomarkers correlated significantly with several cognitive domain scores and NSE at 48 h predicted cognitive impairment with 100% sensitivity and 56% specificity. The predictive properties of NSE at 48 h was unaffected by duration of TTM. CONCLUSIONS: Early biomarker prognostication of cognitive impairment is feasible even in OHCA survivors with good neurological outcome as defined by CPC. NSE at 48 h predicted cognitive impairment.

Resting-state EEG alpha/theta ratio related to neuropsychological test performance in Parkinson's Disease.

OBJECTIVE: To determine possible associations of hemispheric-regional alpha/theta ratio (α/θ) with neuropsychological test performance in Parkinson's Disease (PD) non-demented patients. METHODS: 36 PD were matched to 36 Healthy Controls (HC). The α/θ in eight hemispheric regions was computed from the relative power spectral density of the resting-state quantitative electroencephalogram (qEEG). Correlations between α/θ and performance in several neuropsychological tests were conducted, significant findings were included in a moderation analysis. RESULTS: The α/θ in all regions was lower in PD than in HC, with larger effect sizes in the posterior regions. Right parietal, and right and left occipital α/θ had significant positive correlations with performance in Judgement of Line Orientation Test (JLOT) in PD. Adjusted moderation analysis indicated that right, but not left, occipital α/θ influenced the JLOT performance related to PD. CONCLUSIONS: Reduction of the occipital α/θ, in particular on the right side, was associated with visuospatial performance impairment in PD. SIGNIFICANCE: Visuospatial impairment in PD, which is highly correlated with the subsequent development of dementia, is reflected in α/θ in the right posterior regions. The right occipital α/θ may represent a useful qEEG marker for evaluating the presence of early signs of cognitive decline in PD and the subsequent risk of dementia.

One-Year Outcome and Adherence to Pharmacological Guidelines in First-Episode Schizophrenia: Results From a Consecutive Cohort Study.

BACKGROUND: Remission in schizophrenia is difficult to achieve. Antipsychotic drugs are critical in the treatment of schizophrenia. International guidelines for the pharmacological treatment of schizophrenia recommend a 3-step algorithm with clozapine being the third-line antipsychotic agent. This study investigated the 1-year outcome and the application of the guidelines for the pharmacological treatment of nonremitted first-episode schizophrenia (FES) patients during the first year of follow-up. METHODS: A sample of 78 FES patients from the Norwegian TIPS (Early Treatment and Intervention in Psychosis) 2 study was assessed at the end of the first year of follow-up. The symptom remission criteria were those defined by the Remission in Schizophrenia Working Group. The adherence to the pharmacological guidelines was assessed by reading the medical files and by a digital search of the words "clozapine," "klozapin," and "Leponex" in the hospital electronic data system. RESULTS: The majority (n = 53, 67.9%) of the patients included were nonremitted at the 1-year follow-up. The majority of the nonremitted patients received either none (7.5%), one (56.6%), or 2 types (15.1%) of antipsychotic drugs during the first year of follow-up. Only 2 (3.8%) received treatment with clozapine, and 3 (5.7%) in total were offered it. CONCLUSIONS: For our FES sample, there was a low 1-year remission rate and a poor adherence to the pharmacological guidelines. Higher adherence to treatment guidelines with a more intensified antipsychotic treatment, which in some cases will include clozapine, will enhance the quality of treatment and may enhance the rates of remission for schizophrenia.