Contextual factors for the successful implementation of self-management interventions for chronic diseases: A qualitative review of reviews.

OBJECTIVES: To identify and describe the most relevant contextual factors (CFs) from the literature that influence the successful implementation of self-management interventions (SMIs) for patients living with type 2 diabetes mellitus, obesity, COPD and/or heart failure. METHODS: We conducted a qualitative review of reviews. Four databases were searched, 929 reviews were identified, 460 screened and 61 reviews met the inclusion criteria. CFs in this paper are categorized according to the Tailored Implementation for Chronic Diseases framework. RESULTS: A great variety of CFs was identified on several levels, across all four chronic diseases. Most CFs were on the level of the patient, the professional and the interaction level, while less CFs were obtained on the level of the intervention, organization, setting and national level. No differences in main themes of CFs across all four diseases were found. DISCUSSION: For the successful implementation of SMIs, it is crucial to take CFs on several levels into account simultaneously. Person-centered care, by tailoring SMIs to patients' needs and circumstances, may increase the successful uptake, application and implementation of SMIs in real-life practice. The next step will be to identify the most important CFs according to various stakeholders through a group consensus process.

Development of the national Dutch PEWS: the challenge against heterogeneity and implementation difficulties of PEWS in the Netherlands.

BACKGROUND: For the early recognition of deteriorating patients several Pediatric Early Warning Score (PEWS) systems have been developed with the assumption that early detection can prevent further deterioration. Although PEWS are widely being used in hospitals in the Netherlands, there is no national consensus on which score to use and how to embed the score into a PEWS system. This resulted in a substantial heterogeneity of PEWS systems, of which many are unvalidated or self-designed. The primary objective of this study was to develop a pragmatic consensus-based PEWS system that can be utilized in all Dutch hospitals (University Medical Centers, teaching hospitals, and general hospitals). METHODS: This study is an iterative mixed-methods study. The methods from the Core Outcome Measures in Effectiveness Trials (COMET) initiative were used and consisted of two Delphi rounds, two inventories set out to all Dutch hospitals and a focus group session with parents. The study was guided by five expert meetings with different stakeholders and a final consensus meeting that resulted in a core PEWS set. RESULTS: The first Delphi round was completed by 292 healthcare professionals, consisting of pediatric nurses and physicians. In the second Delphi round 217 healthcare professionals participated. Eventually, the core PEWS set was been developed comprising of the parameters work of breathing, respiratory rate, oxygen therapy, heart rate and capillary refill time, and AVPU (Alert, Verbal, Pain, and Unresponsive). In addition, risk stratification was added to the core set with standardized risk factors consisting of [1] worried signs from healthcare professionals and parents and [2] high-risk treatment, with the option to add applicable local defined risk factors. Lastly, the three categories of risk stratification were defined (standard, medium, and high risk) in combination with standardized actions of the professionals for each category. CONCLUSION: This study demonstrates a way to end a country's struggle with PEWS heterogeneity by co-designing a national Dutch PEWS system. Currently, the power of the system is being investigated in a large multi-center study in the Netherlands.

Decreased reward circuit connectivity during reward anticipation in major depression.

An important symptom of major depressive disorder (MDD) is the inability to experience pleasure, possibly due to a dysfunction of the reward system. Despite promising insights regarding impaired reward-related processing in MDD, circuit-level abnormalities remain largely unexplored. Furthermore, whereas studies contrasting experimental conditions from incentive tasks have revealed important information about reward processing, temporal difference modeling of reward-related prediction error (PE) signals might give a more accurate representation of the reward system. We used a monetary incentive delay task during functional MRI scanning to explore PE-related striatal and ventral tegmental area (VTA) activation in response to anticipation and delivery of monetary rewards in 24 individuals with MDD versus 24 healthy controls (HCs). Furthermore, we investigated group differences in temporal difference related connectivity with a generalized psychophysiological interaction (gPPI) analysis with the VTA, ventral striatum (VS) and dorsal striatum (DS) as seeds during reward versus neutral, both in anticipation and delivery. Relative to HCs, MDD patients displayed a trend-level (p = 0.052) decrease in temporal difference-related activation in the VS during reward anticipation and delivery combined. Moreover, gPPI analyses revealed that during reward anticipation, MDD patients exhibited decreased functional connectivity between the VS and anterior cingulate cortex / medial prefrontal cortex, anterior cingulate gyrus, angular/middle orbital gyrus, left insula, superior/middle frontal gyrus (SFG/MFG) and precuneus/superior occipital gyrus/cerebellum compared to HC. Moreover, MDD patients showed decreased functional connectivity between the VTA and left insula compared to HC during reward anticipation. Exploratory analysis separating medication free patients from patients using antidepressant revealed that these decreased functional connectivity patterns were mainly apparent in the MDD group that used antidepressants. These results suggest that MDD is characterized by alterations in reward circuit connectivity rather than isolated activation impairments. These findings represent an important extension of the existing literature since improved understanding of neural pathways underlying depression-related reward dysfunctions, may help currently unmet diagnostic and therapeutic efforts.

"Get Used to the Fact That Some of the Care Is Really Going to Take Place in a Different Way": General Practitioners' Experiences with E-Health during the COVID-19 Pandemic.

The first outbreak of the COVID-19 pandemic led to the introduction of the more extensive use of e-health in Dutch general practices. The objective of this study was to investigate the experiences of general practitioners (GPs) regarding this change. In addition, the necessary conditions for e-health technology to be of added value to general practices were explored. In April 2020, 30 GPs were recruited for in-depth interviews via a web survey which contained questions regarding the use of e-health during the first wave of the pandemic. While most GPs intend to keep using e-health applications more extensively than before the pandemic, the actual use of e-health depends on several factors, including the characteristics of the application's users. The following conditions for successful and sustainable implementation of e-health were identified: (1) integration of e-health technology in the organization of GP care, (2) sufficient user-friendliness of applications as well as digital skills of professionals and patients, and (3) adequate technological and financial support of e-health services. GPs clearly recognize the benefits of using e-health, and most GPs intend to keep using e-health applications more extensively than before the pandemic. However, improvements are needed to allow widespread and sustainable adoption of e-health technology in general practices.

The Uptake and Use of Telemonitoring in Chronic Care Between 2014 and 2019: Nationwide Survey Among Patients and Health Care Professionals in the Netherlands.

BACKGROUND: Telemonitoring could offer solutions to the mounting challenges for health care and could improve patient self-management. Studies have addressed the benefits and challenges of telemonitoring for certain patient groups. OBJECTIVE: This paper will examine the nationwide uptake of telemonitoring in chronic care in the Netherlands from 2014 to 2019 by means of an annual representative survey among patients and health care professionals. METHODS: Between 2014 and 2019, approximately 2900 patients with chronic diseases, 700 nurses, and 500 general practitioners (GPs) and medical specialists received a questionnaire. About 30 questions addressed topics about the use of eHealth and experiences with it, including data about telemonitoring. RESULTS: Between 2014 and 2019, the use of telemonitoring remained stable for all groups except medical specialists. In medical specialist departments, the use of telemonitoring increased from 11.2% (18/161) in 2014 to 19.6% (36/184) in 2019 (χ24=12.3; P=.02). In 2019, telemonitoring was used by 5.8% (28/485) of people with chronic disease. This was 18.2% (41/225) in GP organizations and 40.4% (44/109), 38.0% (78/205), and 8.9% (29/325) in the organizations of nurses working in primary, secondary, and elderly care, respectively. Up to 10% of the targeted patient group such as diabetics were regarded by health care professionals as suitable for using telemonitoring. The main benefits mentioned by the patients were "comfort" (421/1043, 40.4%) and "living at home for longer/more comfortably" (334/1047, 31.9%). Health care professionals added "improvement of self-management" (63/176, 35.8% to 57/71, 80.3%), "better understanding of the patient's condition" (47/176, 26.7% to 42/71, 59.2%), "reduction of workload" (53/134, 39.6% of nurses in elderly care), "better tailoring of care plan to the patient's situation" (95/225, 42.2% of GPs), and "saves time for patients/caregivers" (61/176, 34.7% of medical specialists). Disadvantages mentioned by professionals were that "it takes time to monitor data" (13/130, 10% to 108/225, 48.0%), "it takes time to follow up alerts" (15/130, 11.5% to 117/225, 52.0%), and "it is difficult to estimate which patients can work with telemonitoring" (22/113, 19.5% to 94/225, 41.8%). CONCLUSIONS: The uptake of telemonitoring in Dutch chronic care remained stable during 2014-2019 but increased among medical specialists. According to both patients and professionals, telemonitoring improves the quality of life and quality of care. Skills for suitably including eligible patients and for allocating the tasks of data monitoring and follow-up care within the team would help to further increase the use of telemonitoring.

An evaluation of the efficacy of two add-on ecological momentary intervention modules for depression in a pragmatic randomized controlled trial (ZELF-i).

BACKGROUND: Depression treatment might be enhanced by ecological momentary interventions (EMI) based on self-monitoring and person-specific feedback. This study is the first to examine the efficacy of two different EMI modules for depression in routine clinical practice. METHODS: Outpatients starting depression treatment at secondary mental health services (N = 161; MIDS-DEPRESSION = 35.9, s.d. = 10.7; MAGE = 32.8, s.d. = 12.1; 46% male) participated in a pragmatic randomized controlled trial with three arms. Two experimental groups engaged in 28 days of systematic self-monitoring (5 times per day), and received weekly feedback on either positive affect and activities (Do-module) or negative affect and thinking patterns (Think-module). The control group received no additional intervention. Participants completed questionnaires on depressive symptoms (primary outcome), social functioning, and empowerment before and after the intervention period, and at four measurements during a 6-month follow-up period. RESULTS: Of the 90 (out of 110) participants who completed the intervention, 86% would recommend it. However, the experimental groups did not show significantly more or faster changes over time than the control group in terms of depressive symptoms, social functioning, and empowerment. Furthermore, the trajectories of the two EMI modules were very similar. CONCLUSIONS: We did not find statistical evidence that this type of EMI augments the efficacy of regular depression treatment, regardless of module content. We cannot rule out that EMIs have a positive impact on other domains or provide a more efficient way of delivering care. Nonetheless, EMI's promise of effectiveness has not materialized yet.

Self-monitoring and personalized feedback based on the experiencing sampling method as a tool to boost depression treatment: a protocol of a pragmatic randomized controlled trial (ZELF-i).

BACKGROUND: Depression is a leading cause of disability worldwide. To reduce the societal burden and improve quality of life for individual patients, treatments for depression need to be optimized. There is a particular need for person-tailored interventions that reinforce self-management of patients. Systematic self-monitoring and personalized feedback through the Experience Sampling Method (ESM) could provide such a person-tailored, empowering intervention that enhances treatment outcomes. The primary aim of this study is to investigate the efficacy of self-monitoring and personalized feedback as an add-on tool in the treatment of depressive complaints in a natural setting. METHODS: The ZELF-i study is a pragmatic multi-site randomized controlled trial (RCT). We aim to recruit 150 individuals with depressive symptoms aged between 18 and 65 years, who have an intake for outpatient basic or specialized treatment at a mental health care organization in the North of the Netherlands. After the intake, participants will be randomly allocated to one of three study arms: two experimental groups engaging in 28 days of systematic self-monitoring (5 times per day) and receiving weekly personalized feedback on positive affect and activities ("Do"-module) or on negative affect and thinking patterns ("Think"-module), and a control group receiving no additional intervention. Self-report inventories of depressive symptoms, psychosocial functioning and feelings of empowerment will be administered before and after the intervention period, and at follow-up measurements at 1, 2, 3 and 6 months. The patient-experienced utility of the intervention will be investigated by a combination of quantitative and qualitative research methods. DISCUSSION: The present study is the first to examine the effects of add-on self-monitoring and personalized feedback on depressive complaints in clinical practice. It is also the first to evaluate two different ESM modules targeted at both of depression's core symptoms. Lastly, it is the first study that uses a combination of qualitative and quantitative methods to evaluate the patient-experienced utility of ESM with personalized feedback as an intervention for depression. Results of the present study may improve treatment for depression, if the intervention is found to be effective. TRIAL REGISTRATION: Dutch Trial Register, NTR5707 , registered prospectively 1 February 2016.

Gray matter volume and white matter lesions in chronic kidney disease: exploring the association with depressive symptoms.

OBJECTIVE: Chronic kidney disease (CKD) is associated with structural brain damage and with a high prevalence of depression. We therefore investigated structural brain alterations in both gray and white matter in CKD patients, focusing on depression-related (frontal-subcortical) regions. METHOD: This cross-sectional MRI study in 24 CKD patients and 24 age- and sex-matched controls first tested whether CKD was associated with regionally lower gray matter (GM) volumes and more severe white matter lesions (WMLs). In exploratory subanalyses, we examined whether differences were more pronounced in CKD patients with depressive symptoms. RESULTS: CKD patients showed lower global GM volume (P=.04) and more severe WMLs (P=.04) compared to controls. In addition, we found substantial clusters of lower GM in the bilateral orbitofrontal-cortex for CKD patients, which were however nonsignificant after proper multiple-comparison correction. In exploratory analyses for depressed CKD patients, reduced GM clusters were mainly detected within the frontal lobe. WML severity was unrelated to depression. CONCLUSION: CKD was characterized by differences in brain structure. Although subthreshold, lower GM volumes were observed in depression-related brain areas and were more pronounced for depressed patients. There is a need for replication in larger and longitudinal studies to investigate whether WMLs and regional GM reductions may render CKD patients more susceptible for depression.

Association of Depressive and Anxiety Disorders With Diagnosed Versus Undiagnosed Diabetes: An Epidemiological Study of 90,686 Participants.

OBJECTIVE: To compare the odds of depressive and anxiety disorders for participants with diagnosed diabetes, participants with diabetes but unaware of this, and participants without diabetes. Such knowledge might improve etiological insight into psychopathology in diabetes. METHODS: Data of 90,686 participants (mean age = 45 years; 59% female) from the LifeLines cohort was used. Depressive and anxiety disorders were assessed by the Mini-International Neuropsychiatric Interview. The odds of depression and anxiety were assessed for three groups: a) diagnosed diabetes, diabetes medication use and/or self-reported "diabetes"; b) undiagnosed diabetes, fasting blood glucose ≥7.0 mmol/l, but no diabetes medication use and self-reported "no diabetes"; and c) no diabetes, fasting blood glucose <7.0 mmol/l and self-reported "no diabetes." Logistic regression was performed to compare the odds of depression and anxiety in these groups, adjusting for age, sex, diabetes-related diseases, comorbid depressive or anxiety disorders, and glycosylated hemoglobin. RESULTS: A total of 3002 (3.3%) participants were diagnosed as having depression and 9018 (9.9%) as having anxiety; 1781 (2.0%) had diagnosed and 786 (0.9%) had undiagnosed diabetes. Both diagnosed (odds ratio [OR] = 1.4:1.1-1.8, p = .006) and undiagnosed (OR = 1.8:1.3-2.6, p = .001) diabetes were independently associated with depression. The odds of depression did not differ between diagnosed and undiagnosed diabetes (OR = 0.7, p = .17). Diagnosed diabetes was independently associated with anxiety (OR = 1.4:1.2-1.7, p < .001), but undiagnosed diabetes was not (OR = 0.8:0.6-1.1, p = .20). The odds of anxiety were significantly higher in diagnosed compared with undiagnosed diabetes (1.68:1.23-2.31, p = .001). CONCLUSIONS: Depression was more prevalent in participants with diagnosed and undiagnosed diabetes, whereas anxiety was more prevalent only in participants who were aware of their diabetes. Longitudinal research is needed to assess the causal pathways of these associations.

The association between cardiac rehabilitation and mortality risk for myocardial infarction patients with and without depressive symptoms.

BACKGROUND: Post-myocardial infarction (MI) depression is associated with reduced adherence to cardiac rehabilitation (CR) and increased mortality risk. The present study investigated whether all-cause mortality reduction associated with CR is different for MI-patients with and without depressive symptoms. METHODS: Data of 2198 post-MI patients from the Depression after Myocardial Infarction (DepreMI) study and Myocardial Infarction and Depression Intervention Trial (MIND-IT) was used. Depression was assessed at hospitalization, defined as a score≥10 on the Beck Depression Inventory (BDI). Participation in CR was assessed with a self-report questionnaire, 12 months post-MI. Cox regression was used to estimate hazard ratios (HR) for all-cause mortality, up till 10 years post-MI. Missing data was imputed, using multiple imputation. RESULTS: 878 (52%) Patients attended CR, 517 (26%) patients had a BDI score ≥10, and 379 (18%) patients died during the follow-up period. Overall, CR was not associated with a lower mortality risk (HR: 0.83; 0.54-1.30; p=0.41), adjusted for age, sex, left ventricle ejection fraction, previous MI, and past or current heart failure. However, there was a significant interaction between depression and CR on mortality (HR: 0.49; 0.27-0.90; p=0.02). CR was significantly associated with reduced mortality in depressed patients (HR: 0.48; 0.28-0.84; p=0.01), but not in non-depressed patients (HR: 1.09; 0.63-1.89; p=0.74). LIMITATIONS: Patients were not randomized to CR. We had no information about the specific reasons of clinicians to offer CR and about the patients' motives to participate. CONCLUSIONS: CR was associated with reduced mortality risk only for MI-patients with depression. Clinicians should therefore particularly encourage MI-patients with depression to participate in CR.

The associations of depression and hypertension with brain volumes: Independent or interactive?

Independent studies on major depressive disorder (MDD) and hypertension, suggest overlapping abnormalities in brain regions associated with emotional and autonomic processing. However, the unique and interactive effects of MDD and hypertension have never been studied in a single sample. Brain volume in these areas may be an explanatory link in the comorbidity between MDD and hypertension. Voxel-based morphometry was used to test for main effects of MDD (N = 152) and hypertension (N = 82) and their interactions on gray and white matter volumes. Voxel-wise results are reported at p < .05 FWE corrected for the spatial extent of the whole brain and a-priori regions of interest (ROIs: hippocampus, anterior cingulate cortex (ACC) and inferior frontal gyrus (IFG)). In addition, analyses on the extracted total volumes of our ROIs were performed. Interactive effects in the mid-cingulate cortex (MCC) (p FWE = .01), cerebellum (p FWE = .01) and in the ACC total ROI volume (p = .02) were found. MDD in the presence, but not in the absence of hypertension was associated with lower volumes in the ACC and MCC, and with a trend towards larger gray matter volume in the cerebellum. No associations with white matter volumes were observed. Results suggest that the combination of MDD and hypertension has a unique effect on brain volumes in areas implicated in the regulation of emotional and autonomic functions. Brain volume in these regulatory areas may be an explanatory link in the comorbidity between hypertension and MDD.

Examining the relation between post myocardial infarction depression and cardiovascular prognosis using a validated prediction model for post myocardial mortality.

BACKGROUND: The presence of depressive symptoms after myocardial infarction (MI) is associated with worsened cardiovascular (CV) prognosis. To date, it remains unclear to what extent the relationship between post-MI depression and prognosis is confounded by factors related to prognosis. We assessed the relationship between depression and prognosis while adjusting for a well validated risk score for mortality after a MI. METHODS: Data of 494 MI patients were derived from the Depression after Myocardial Infarction study (DepreMI). Scores on the Beck Depression Inventory (BDI) (cut-off ≥ 10) were used to relate depressive symptoms (divided in somatic/affective and cognitive/affective symptoms) to the Global Registry of Acute Coronary Events (GRACE) risk score, using Pearson correlations. Cox regression analysis was performed to investigate the predictive value of depressive symptoms for prognosis after adjusting for GRACE score. RESULTS: Overall, depressive symptoms were significantly correlated with GRACE score (r=0.12, p=0.008). Specifically, somatic/affective symptoms were positively correlated (r=0.23, p<0.001), whereas cognitive/affective symptoms tended to be negatively correlated (r=-0.08, p=0.097) with GRACE score. Adjusting for GRACE score did not affect the HR for recurrent CV events associated with total BDI- score (adjusted hazard ratio (HR) per point increase in BDI score 1.05 p=0.002 95% CI 1.02-1.08 n=463). Furthermore GRACE score attenuated the HR associated with 1 SD increase in somatic/affective depressive symptoms from 1.44 (1.20-1.72) to 1.31 (1.08-1.58). CONCLUSION: GRACE score was positively associated with somatic/affective depressive symptoms. GRACE score explained only partly the association between (somatic/affective) depressive symptoms and CV prognosis.

Music alters visual perception.

BACKGROUND: Visual perception is not a passive process: in order to efficiently process visual input, the brain actively uses previous knowledge (e.g., memory) and expectations about what the world should look like. However, perception is not only influenced by previous knowledge. Especially the perception of emotional stimuli is influenced by the emotional state of the observer. In other words, how we perceive the world does not only depend on what we know of the world, but also by how we feel. In this study, we further investigated the relation between mood and perception. METHODS AND FINDINGS: We let observers do a difficult stimulus detection task, in which they had to detect schematic happy and sad faces embedded in noise. Mood was manipulated by means of music. We found that observers were more accurate in detecting faces congruent with their mood, corroborating earlier research. However, in trials in which no actual face was presented, observers made a significant number of false alarms. The content of these false alarms, or illusory percepts, was strongly influenced by the observers' mood. CONCLUSIONS: As illusory percepts are believed to reflect the content of internal representations that are employed by the brain during top-down processing of visual input, we conclude that top-down modulation of visual processing is not purely predictive in nature: mood, in this case manipulated by music, may also directly alter the way we perceive the world.

Why do we see what's not there?

Conscious perception is not the result of passively processing sensory input, but to large extent of active inference based on previous knowledge. This process of inference does go astray from time to time, and may lead to illusory perception: sometimes people see things that are not there. In a recent study we have shown that this inference may also be influenced by mood. Here we present some additional data, suggesting that illusory percepts are the result of increased top-down processing, which is normally helpful in detecting real stimuli. Finally, we speculate on a possible function of mood-dependent modulation of this top-down processing in social perception in particular.