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Characterization of Brain Signatures to Add Precision to Self-Management Health Information Interventions.

ABSTRACT: BACKGROUND:Although many of the proposed mediating processes of self-management interventions are operationally defined as cognitive processes (e.g., acquiring and using information, self-efficacy, motivation, and decision-making), little is known about their underlying brain mechanisms. Brain biomarkers of how people process health information may be an important characteristic on which to individualize health information to optimize self-management of chronic conditions. OBJECTIVES:We describe a program of research addressing the identification of brain biomarkers that differentially predict responses to two types of health information (analytic focused and emotion focused) designed to support optimal self-management of chronic conditions. METHODS:We pooled data from two pilot studies (N = 52) that included functional magnetic resonance imaging during a specially designed, ecologically valid protocol to examine brain activation (task differentiation) associated with two large-scale neural networks-the Analytic Network and the Empathy Network-and the ventral medial prefrontal cortex while individuals responded to different types of health information (analytic and emotional). RESULTS:Findings indicate that analytic information and emotional information are processed differently in the brain, and the magnitude of this differentiation in response to type of information varies from person to person. Activation in the a priori regions identified in response to both analytic and emotion information was confirmed. The feasibility of obtaining brain imaging data from persons with chronic conditions also is demonstrated. DISCUSSION:An understanding of brain signatures related to information processing has potential to assist in the design of more individualized, effective self-management interventions.

SUBMITTER: Moore SM

PROVIDER: S-EPMC6490684 | biostudies-literature | 2019 Mar/Apr

REPOSITORIES: biostudies-literature

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Characterization of Brain Signatures to Add Precision to Self-Management Health Information Interventions.

Moore Shirley M SM Musil Carol M CM Jack Anthony I AI Alder Megan L ML Fresco David M DM Webel Allison A Wright Kathy D KD Sattar Abdus A Higgins Patricia P

Nursing research 20190301 2

<h4>Background</h4>Although many of the proposed mediating processes of self-management interventions are operationally defined as cognitive processes (e.g., acquiring and using information, self-efficacy, motivation, and decision-making), little is known about their underlying brain mechanisms. Brain biomarkers of how people process health information may be an important characteristic on which to individualize health information to optimize self-management of chronic conditions.<h4>Objectives< ...[more]

PMID: 30540702

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Project description:PurposeSecondary prevention of coronary artery disease, self-management behavior, and blood pressure control are important to cardiovascular event prevention and promotion of quality of life (QOL), but they are underutilized. The purpose of this study was to investigate the effects of a self-efficacy theory-based health information technology intervention implemented through blood control and patient self-management.DesignA clinical randomized waitlist-controlled trial.MethodsThe study was conducted at a medical center in Taipei, Taiwan. A total of 60 subjects were randomly assigned to either the immediate intervention (experimental) group or the waitlist control group. The primary endpoint was systolic blood pressure at 3 months; secondary end points included self-management behavior and QOL. Treatment for the immediate intervention group lasted 3 months, while the waitlist control group received routine care for the first 3 months, at which point they crossed over to the intervention arm and received the same intervention as the experimental group for another 3 months. Both groups were evaluated by questionnaires and physiological measurements at both 3 and 6 months postadmission. The results were analyzed using generalized estimating equations.ResultsSystolic blood pressure significantly improved for the intervention group participants at 3 months, when there was also significant improvement in self-management behavior and QOL. There was no significant or appreciable effect of time spent in the waitlist condition, with treatments in the two conditions being similarly effective.ConclusionThe use of a theory-based health information technology treatment compared with usual care resulted in a significant improvement in systolic blood pressure, self-management behavior, and QOL in patients with coronary artery disease.Clinical relevanceThis treatment would be a useful strategy for clinical care of cardiovascular disease patients, improving their disease self-management. It also may help guide further digital health care strategies during the COVID-19 pandemic.

Project description:BackgroundSupported asthma self-management improves health outcomes. However, people with limited health literacy, especially in lower-middle-income countries (LMICs), may need tailored interventions to enable them to realise the benefits. We aimed to assess the clinical effectiveness of asthma self-management interventions targeted at people with limited health literacy and to identify strategies associated with effective programmes.MethodsFollowing Cochrane methodology, we searched ten databases (January 1990 - June 2018; updated October 2019), without language restriction. We included controlled experimental studies whose interventions targeted health literacy to improve asthma self-management. Selection of papers, extraction of data and quality assessment were done independently by two reviewers. The primary outcomes were clinical (asthma control) and implementation (adoption/adherence to intervention). Analysis was narrative.ResultsWe screened 4318 titles and abstracts, reviewed 52 full-texts and included five trials. One trial was conducted in a LMIC. Risk of bias was low in one trial and high in the other four studies. Clinical outcomes were reported in two trials, both at high risk of bias: one of which reported a reduction in unscheduled care (number of visits in 6-month (SD); Intervention:0.9 (1.2) vs Control:1.8 (2.4), P?=?0.001); the other showed no effect. None reported uptake or adherence to the intervention. Behavioural change strategies typically focused on improving an individual's psychological and physical capacity to enact behaviour (eg, targeting asthma-related knowledge or comprehension). Only two interventions also targeted motivation; none sought to improve opportunity. Less than half of the interventions used specific self-management strategies (eg, written asthma action plan) with tailoring to limited health literacy status. Different approaches (eg, video-based and pictorial action plans) were used to provide education.ConclusionsThe paucity of studies and diversity of the interventions to support people with limited health literacy to self-manage their asthma meant that the impact on health outcomes remains unclear. Given the proportion of the global population who have limited health literacy skills, this is a research priority.Protocol registrationPROSPERO CRD 42018118974.

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Characterization of Brain Signatures to Add Precision to Self-Management Health Information Interventions.

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Characterization of Brain Signatures to Add Precision to Self-Management Health Information Interventions.

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