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Can you elaborate on that? Addressing participants' need for cognition in computer-tailored health behavior interventions.
Nikoloudakis, IA, Crutzen, R, Rebar, AL, Vandelanotte, C, Quester, P, Dry, M, Skuse, A, Duncan, MJ, Short, CE
Health psychology review. 2018;(4):437-452
Abstract
Computer-tailored interventions, which deliver health messages adjusted based on characteristics of the message recipient, can effectively improve a range of health behaviours. Typically, the content of the message is tailored to user demographics, health behaviours and social cognitive factors (e.g., intentions, attitudes, self-efficacy, perceived social support) to increase message relevance, and thus the extent to which the message is read, considered and translated into attitude and behaviour change. Some researchers have suggested that the efficacy of computer-tailored interventions may be further enhanced by adapting messages to suit recipients' need for cognition (NFC) - a personality trait describing how individuals tend to process information. However, the likely impact of doing so, especially when tailored in conjunction with other variables, requires further consideration. It is possible that intervention effects may be reduced in some circumstances due to interactions with other variables (e.g., perceived relevance) that also influence information processing. From a practical point of view, it is also necessary to consider how to optimally operationalise and measure NFC if it is to be a useful tailoring variable. This paper aims to facilitate further research in this area by critically examining these issues based on relevant theories and existing evidence.
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Web-Based Interventions Targeting Cardiovascular Risk Factors in Middle-Aged and Older People: A Systematic Review and Meta-Analysis.
Beishuizen, CR, Stephan, BC, van Gool, WA, Brayne, C, Peters, RJ, Andrieu, S, Kivipelto, M, Soininen, H, Busschers, WB, Moll van Charante, EP, et al
Journal of medical Internet research. 2016;(3):e55
Abstract
BACKGROUND Web-based interventions can improve single cardiovascular risk factors in adult populations. In view of global aging and the associated increasing burden of cardiovascular disease, older people form an important target population as well. OBJECTIVE In this systematic review and meta-analysis, we evaluated whether Web-based interventions for cardiovascular risk factor management reduce the risk of cardiovascular disease in older people. METHODS Embase, Medline, Cochrane and CINAHL were systematically searched from January 1995 to November 2014. Search terms included cardiovascular risk factors and diseases (specified), Web-based interventions (and synonyms) and randomized controlled trial. Two authors independently performed study selection, data-extraction and risk of bias assessment. In a meta-analysis, outcomes regarding treatment effects on cardiovascular risk factors (blood pressure, glycated hemoglobin A1c (HbA1C), low-density lipoprotein (LDL) cholesterol, smoking status, weight and physical inactivity) and incident cardiovascular disease were pooled with random effects models. RESULTS A total of 57 studies (N=19,862) fulfilled eligibility criteria and 47 studies contributed to the meta-analysis. A significant reduction in systolic blood pressure (mean difference -2.66 mmHg, 95% CI -3.81 to -1.52), diastolic blood pressure (mean difference -1.26 mmHg, 95% CI -1.92 to -0.60), HbA1c level (mean difference -0.13%, 95% CI -0.22 to -0.05), LDL cholesterol level (mean difference -2.18 mg/dL, 95% CI -3.96 to -0.41), weight (mean difference -1.34 kg, 95% CI -1.91 to -0.77), and an increase of physical activity (standardized mean difference 0.25, 95% CI 0.10-0.39) in the Web-based intervention group was found. The observed effects were more pronounced in studies with short (<12 months) follow-up and studies that combined the Internet application with human support (blended care). No difference in incident cardiovascular disease was found between groups (6 studies). CONCLUSIONS Web-based interventions have the potential to improve the cardiovascular risk profile of older people, but the effects are modest and decline with time. Currently, there is insufficient evidence for an effect on incident cardiovascular disease. A focus on long-term effects, clinical endpoints, and strategies to increase sustainability of treatment effects is recommended for future studies.
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Personalized prevention approach with use of a web-based cardiovascular risk assessment with tailored lifestyle follow-up in primary care practice--a pilot study.
van den Brekel-Dijkstra, K, Rengers, AH, Niessen, MA, de Wit, NJ, Kraaijenhagen, RA
European journal of preventive cardiology. 2016;(5):544-51
Abstract
AIMS: The aim of this prospective implementation study is to evaluate feasibility of a personalized prevention approach with use of a web-based health risk assessment for cardiovascular diseases combined with tailored lifestyle feedback and interventions in the community setting. METHODS A random sample of 800 inhabitants of Leidsche Rijn (a newly built residential area in the city of Utrecht) between 45 and 70 years old was invited by their general practitioner to participate in this study and sent a web-based health risk assessment containing a questionnaire, covering socio-demographic variables, family and personal medical history, lifestyle behaviour and psychological variables. The system generates an individual cardiovascular risk based on prognostic modelling. In the case of increased risk further biometric and laboratory evaluation is advised. All participants received tailored web-based feedback with an electronic referral to available medical, psychological and lifestyle interventions in the neighbourhood, or online interventions, and a follow-up questionnaire after six months. RESULTS The participation rate was 29% (230/800) of which 39% (89/230) were at increased risk for cardiovascular disease and were advised to perform biometric measures, of which 36% (32/89) actually did. Of these respondents 25% (8/32) had increased blood pressure (≥140/90), 56% (18/32) increased total cholesterol (>6.0 mmol/l).One-third of the participants started changing their lifestyle, 20% indicated planning to do this later; 32% (41/129) increased their physical activity and 28% (36/129) were eating healthier. Seventy-nine per cent of the responders stated their participation was 'meaningful'. CONCLUSIONS The personalized prevention approach offers a system for integrated risk profiling and individualized health management that was well received in general practice. The client-centred approach, which was embedded in a local community setting, using a web-based health risk assessment with tailored feedback and linkage to regional health management and lifestyle providers proved feasible, and successful. Participating in the health risk assessment elicited actual behaviour change among follow-up survey respondents.
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Automated adjustments of inspired fraction of oxygen to avoid hypoxemia and hyperoxemia in neonates - a systematic review on clinical studies.
Hummler, H, Fuchs, H, Schmid, M
Klinische Padiatrie. 2014;(4):204-10
Abstract
Supplemental oxygen is commonly provided during transition of neonates immediately after birth. Whereas an initial FiO2 of 0.21 is now recommended to stabilize full-term infants in the delivery room, the best FiO2 to start resuscitation of the very low birth weight infant (VLBWI) immediately after delivery is currently not known. Recent recommendations include the use of pulse oximetry to titrate the use of supplemental oxygen. As reference values for pulse oximetry during the first minutes of life have become available, automated FiO2-adjustments are feasible and may be very useful for delivery room care to limit oxygen exposure. Beyond neonatal transition, preterm infants in the neonatal intensive care unit (NICU) commonly require supplemental oxygen to avoid hypoxemia, especially VLBWI receiving respiratory support because of poor respiratory drive and/or lung disease. For respiratory care of newborn infants in the NICU automated FiO2-adjustment systems have been developed and have been studied in preterm infants for limited time frames using short-term physiological outcomes. These studies could demonstrate short-term benefits such as more stable arterial oxygen saturation. Recent clinical trials have shown that oxygen targeting may significantly affect mortality and morbidity. Therefore, randomized controlled trials are needed to study the effects of automated FiO2-adjustment on long-term outcomes to prove possible benefits on survival, the rate of retino-pathy of prematurity and on neuro-development-al outcome.
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Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people.
Wieland, LS, Falzon, L, Sciamanna, CN, Trudeau, KJ, Brodney, S, Schwartz, JE, Davidson, KW
The Cochrane database of systematic reviews. 2012;(8):CD007675
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Abstract
BACKGROUND The World Health Organization (WHO) estimates that the number of obese or overweight individuals worldwide will increase to 1.5 billion by 2015. Chronic diseases associated with overweight or obesity include diabetes, heart disease, hypertension and stroke. OBJECTIVES To assess the effects of interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people. SEARCH METHODS We searched several electronic databases, including CENTRAL, MEDLINE, EMBASE, CINAHL, LILACS and PsycINFO, through 25 May 2011. We also searched clinical trials registries to identify studies. We scanned reference lists of included studies and relevant systematic reviews. SELECTION CRITERIA Studies were included if they were randomized controlled trials or quasi-randomized controlled trials that evaluated interactive computer-based weight loss or weight maintenance programs in adults with overweight or obesity. We excluded trials if the duration of the intervention was less than four weeks or the loss to follow-up was greater than 20% overall. DATA COLLECTION AND ANALYSIS Two authors independently extracted study data and assessed risk of bias. Where interventions, control conditions, outcomes and time frames were similar between studies, we combined study data using meta-analysis. MAIN RESULTS We included 14 weight loss studies with a total of 2537 participants, and four weight maintenance studies with a total of 1603 participants. Treatment duration was between four weeks and 30 months. At six months, computer-based interventions led to greater weight loss than minimal interventions (mean difference (MD) -1.5 kg; 95% confidence interval (CI) -2.1 to -0.9; two trials) but less weight loss than in-person treatment (MD 2.1 kg; 95% CI 0.8 to 3.4; one trial). At six months, computer-based interventions were superior to a minimal control intervention in limiting weight regain (MD -0.7 kg; 95% CI -1.2 to -0.2; two trials), but not superior to infrequent in-person treatment (MD 0.5 kg; 95% -0.5 to 1.6; two trials). We did not observe consistent differences in dietary or physical activity behaviors between intervention and control groups in either weight loss or weight maintenance trials. Three weight loss studies estimated the costs of computer-based interventions compared to usual care, however two of the studies were 11 and 28 years old, and recent advances in technology render these estimates unlikely to be applicable to current or future interventions, while the third study was conducted in active duty military personnel, and it is unclear whether the costs are relevant to other settings. One weight loss study reported the cost-effectiveness ratio for a weekly in-person weight loss intervention relative to a computer-based intervention as USD 7177 (EUR 5678) per life year gained (80% CI USD 3055 to USD 60,291 (EUR 2417 to EUR 47,702)). It is unclear whether this could be extrapolated to other studies. No data were identified on adverse events, morbidity, complications or health-related quality of life. AUTHORS' CONCLUSIONS Compared to no intervention or minimal interventions (pamphlets, usual care), interactive computer-based interventions are an effective intervention for weight loss and weight maintenance. Compared to in-person interventions, interactive computer-based interventions result in smaller weight losses and lower levels of weight maintenance. The amount of additional weight loss, however, is relatively small and of brief duration, making the clinical significance of these differences unclear.
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[Computer assistance to improve therapy planning for head neck oncology].
Boehm, A, Müller, S, Pankau, T, Straub, G, Bohn, S, Fuchs, M, Dietz, A
Laryngo- rhino- otologie. 2011;(12):732-8
Abstract
The ongoing development in therapies of head and neck malignomas has led to a further differentiation of treatment options. Complex surgical procedures, a wide variety of multi modal therapy options, changing radiation technologies (IMRT - Intensity-modulated radiation therapy) and numerous "targeted therapies" emphasize the need for a precise treatment plan. Beside this, imaging has seen significant improvements beyond the technical ones, e. g. with the implementation of PET/CT scanners. This increase in pre-therapeutic data volume, together with a diversification of treatment options calls for a further discussion of the basics of therapeutic decisions. Planning relevant data processing by computer assisted systems can aid in these decisions. This work describes the current status of relevant computer assisted systems undergoing first testing for head and neck cancer therapy planning. Here, the integration of 3-dimensional patient data plays a central role. This planning tool forms the integrated base for a further development in the areas of radiation planning, documentation and study management.
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Health technology assessment review: Computerized glucose regulation in the intensive care unit--how to create artificial control.
Hoekstra, M, Vogelzang, M, Verbitskiy, E, Nijsten, MW
Critical care (London, England). 2009;(5):223
Abstract
Current care guidelines recommend glucose control (GC) in critically ill patients. To achieve GC, many ICUs have implemented a (nurse-based) protocol on paper. However, such protocols are often complex, time-consuming, and can cause iatrogenic hypoglycemia. Computerized glucose regulation protocols may improve patient safety, efficiency, and nurse compliance. Such computerized clinical decision support systems (Cuss) use more complex logic to provide an insulin infusion rate based on previous blood glucose levels and other parameters. A computerized CDSS for glucose control has the potential to reduce overall workload, reduce the chance of human cognitive failure, and improve glucose control. Several computer-assisted glucose regulation programs have been published recently. In order of increasing complexity, the three main types of algorithms used are computerized flowcharts, Proportional-Integral-Derivative (PID), and Model Predictive Control (MPC). PID is essentially a closed-loop feedback system, whereas MPC models the behavior of glucose and insulin in ICU patients. Although the best approach has not yet been determined, it should be noted that PID controllers are generally thought to be more robust than MPC systems. The computerized Cuss that are most likely to emerge are those that are fully a part of the routine workflow, use patient-specific characteristics and apply variable sampling intervals.