scholarly journals Support for Self-Management and Prenatal Health Behavior Change: Implications for Pediatric Promotion of Interconception Care

2018 ◽  
Vol 5 ◽  
pp. 2333794X1876536 ◽  
Author(s):  
Emily F. Gregory ◽  
Charmaine S. Wright ◽  
Meredith Matone ◽  
David M. Rubin ◽  
Scott A. Lorch
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Adult Population ◽  
Tertiary Care ◽  
Family Health ◽  
Health Behavior Change ◽  
Self Management ◽  
Care Hospital ◽  
Prenatal Health ◽  
Healthy Infants

Pediatricians increasingly endorse a dual generation approach to health, in which parental health behaviors are recognized as critical to promoting child health. Positive parental behaviors often emerge during pregnancy, for reasons that remain incompletely described. We surveyed mothers in the immediate postpartum period to identify beliefs about health behavior change and characteristics of prenatal care associated with successful change. Sampling at a tertiary care hospital captured an English-speaking adult population with healthy infants. Respondents (n = 225) were predominantly non-Hispanic Black (64%) and Medicaid insured (44%). Most (71%) reported successful behavior change during pregnancy. Of those reporting change, 91% intended to sustain behaviors postnatally. Most believed that sustained change was important for their own health (94%) and their infant’s health (93%). In logistic regression, support for self-management was associated with prenatal health behavior change (odds ratio = 1.64, 95% confidence interval = 1.09-2.46). Continued support for self-management by pediatricians may benefit long-term family health.

A Video Game for Brazilian T1D Children about Knowledge of Disease and Self-care: A Methodological Study

2021 ◽  
pp. 193229682110175
Author(s):  
Valéria de Cássia Sparapani ◽  
Sidney Fels ◽  
Noreen Kamal ◽  
Rebecca Ortiz La Banca ◽  
Lucila Castanheira Nascimento
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Video Game ◽  
Game Design ◽  
Health Behavior Change ◽  
Self Management ◽  
Learning Needs ◽  
Methodological Study ◽  
Video Game Design ◽  
Management Behaviors

Background: Video games are interactive technologies able to support children in health promotion, behavior changes, and chronic disease self-management. The use of health behavior change determinants in video game design can increase its effectiveness. This study describes the process of designing a video game for Brazilian children with T1D clarifying the use of health behavior change determinants that may influence self-management behaviors. Methods: This was a methodological study based on health behavior change theories and the user-centered design approach. The results of a qualitative study conducted with children aged 7 to 12 years identified learning needs about knowledge on diabetes and self-care tasks which contribute to inappropriate behaviors. A Behavioral Diagnosis presented health behavior change determinants, capable of influencing children’s learning needs and behaviors, that were considered to design The Heroes of Diabetes—the power of knowledge. Results: The results presented the process of designing 4 mini games with its description and theory foundation to reach children’s lack of understanding about T1D, insulin’s role, SMBG requirements, food groups and physical activity’s role in glycemic control. Knowledge, goal settings, extrinsic and intrinsic motivation determinants were related with video games design features. Conclusions: The findings support the use of health behavior change determinants into video game design as a guide to achieve children learning needs and that might influence self-management behaviors.

scholarly journals Health Behavior Change Processes Among Adults With Serious Mental Illness Engaged in Illness Self-Management

2021 ◽  
pp. 104973232199204
Author(s):  
Anjana Muralidharan ◽  
Amanda Peeples ◽  
Alicia Lucksted
Keyword(s):  
Mental Illness ◽  
Health Behavior ◽  
Behavior Change ◽  
Serious Mental Illness ◽  
Cognitive Theory ◽  
Self Regulation ◽  
Health Behavior Change ◽  
Self Management ◽  
Living Well ◽  
Management Interventions

Self-management interventions promote illness management among adults with chronic health conditions. Little is known regarding the processes by which these interventions have their effects. The present study examined how Living Well, an effective self-management intervention for adults with serious mental illness, led to health behavior change in a randomized controlled trial. A convenience subset ( N = 15) of participants completed qualitative interviews regarding the feasibility/acceptability of Living Well. An inductive secondary qualitative analysis, using a combination of interpretive phenomenological and social constructivist approaches, was conducted to examine processes of change. Results indicate that Living Well provided information and knowledge, opportunities for learning from others and real-world practice, and an interpersonally supportive environment. These active ingredients led to enhanced self-awareness, confidence, sense of control, and behavior and health status changes among participants. These findings are considered in the context of prominent behavior change theories such as social cognitive theory and self-regulation.

scholarly journals Toward a Digital Platform for the Self-Management of Noncommunicable Disease: Systematic Review of Platform-Like Interventions (Preprint)

2019 ◽  
Author(s):  
Sarah A Tighe ◽  
Kylie Ball ◽  
Finn Kensing ◽  
Lars Kayser ◽  
Jonathan C Rawstorn ◽  
...  
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Health Behavior Change ◽  
Self Management ◽  
Evidence Based ◽  
Digital Platform ◽  
Digital Interventions ◽  
Disease Specific ◽  
Specific Health

BACKGROUND Digital interventions are effective for health behavior change, as they enable the self-management of chronic, noncommunicable diseases (NCDs). However, they often fail to facilitate the specific or current needs and preferences of the individual. A proposed alternative is a digital platform that hosts a suite of discrete, already existing digital health interventions. A platform architecture would allow users to explore a range of evidence-based solutions over time to optimize their self-management and health behavior change. OBJECTIVE This review aims to identify digital platform-like interventions and examine their potential for supporting self-management of NCDs and health behavior change. METHODS A literature search was conducted in January 2020 using EBSCOhost, PubMed, Scopus, and EMBASE. No digital platforms were identified, so criteria were broadened to include digital platform-like interventions. Eligible platform-like interventions offered a suite of discrete, evidence-based health behavior change features to optimize self-management of NCDs in an adult population and provided digitally supported guidance for the user toward the features best suited to their needs and preferences. Data collected on interventions were guided by the CONSORT-EHEALTH (Consolidated Standards of Reporting Trials of Electronic and Mobile Health Applications and Online Telehealth) checklist, including evaluation data on effectiveness and process outcomes. The quality of the included literature was assessed using the Mixed Methods Appraisal Tool. RESULTS A total of 7 studies were included for review. Targeted NCDs included cardiovascular diseases (CVD; n=3), diabetes (n=3), and chronic obstructive pulmonary disease (n=1). The mean adherence (based on the number of follow-up responders) was 69% (SD 20%). Of the 7 studies, 4 with the highest adherence rates (80%) were also guided by behavior change theories and took an iterative, user-centered approach to development, optimizing intervention relevance. All 7 interventions presented algorithm-supported user guidance tools, including electronic decision support, smart features that interact with patterns of use, and behavior change stage-matching tools. Of the 7 studies, 6 assessed changes in behavior. Significant effects in moderate-to-vigorous physical activity were reported, but for no other specific health behaviors. However, positive behavior change was observed in studies that focused on comprehensive behavior change measures, such as self-care and self-management, each of which addresses several key lifestyle risk factors (eg, medication adherence). No significant difference was found for psychosocial outcomes (eg, quality of life). Significant changes in clinical outcomes were predominately related to disease-specific, multifaceted measures such as clinical disease control and cardiovascular risk score. CONCLUSIONS Iterative, user-centered development of digital platform structures could optimize user engagement with self-management support through existing, evidence-based digital interventions. Offering a palette of interventions with an appropriate degree of guidance has the potential to facilitate disease-specific health behavior change and effective self-management among a myriad of users, conditions, or stages of care.

scholarly journals Toward a Digital Platform for the Self-Management of Noncommunicable Disease: Systematic Review of Platform-Like Interventions

10.2196/16774 ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. e16774
Author(s):  
Sarah A Tighe ◽  
Kylie Ball ◽  
Finn Kensing ◽  
Lars Kayser ◽  
Jonathan C Rawstorn ◽  
...  
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Health Behavior Change ◽  
Self Management ◽  
Evidence Based ◽  
Digital Platform ◽  
Digital Interventions ◽  
Disease Specific ◽  
Specific Health

Background Digital interventions are effective for health behavior change, as they enable the self-management of chronic, noncommunicable diseases (NCDs). However, they often fail to facilitate the specific or current needs and preferences of the individual. A proposed alternative is a digital platform that hosts a suite of discrete, already existing digital health interventions. A platform architecture would allow users to explore a range of evidence-based solutions over time to optimize their self-management and health behavior change. Objective This review aims to identify digital platform-like interventions and examine their potential for supporting self-management of NCDs and health behavior change. Methods A literature search was conducted in January 2020 using EBSCOhost, PubMed, Scopus, and EMBASE. No digital platforms were identified, so criteria were broadened to include digital platform-like interventions. Eligible platform-like interventions offered a suite of discrete, evidence-based health behavior change features to optimize self-management of NCDs in an adult population and provided digitally supported guidance for the user toward the features best suited to their needs and preferences. Data collected on interventions were guided by the CONSORT-EHEALTH (Consolidated Standards of Reporting Trials of Electronic and Mobile Health Applications and Online Telehealth) checklist, including evaluation data on effectiveness and process outcomes. The quality of the included literature was assessed using the Mixed Methods Appraisal Tool. Results A total of 7 studies were included for review. Targeted NCDs included cardiovascular diseases (CVD; n=3), diabetes (n=3), and chronic obstructive pulmonary disease (n=1). The mean adherence (based on the number of follow-up responders) was 69% (SD 20%). Of the 7 studies, 4 with the highest adherence rates (80%) were also guided by behavior change theories and took an iterative, user-centered approach to development, optimizing intervention relevance. All 7 interventions presented algorithm-supported user guidance tools, including electronic decision support, smart features that interact with patterns of use, and behavior change stage-matching tools. Of the 7 studies, 6 assessed changes in behavior. Significant effects in moderate-to-vigorous physical activity were reported, but for no other specific health behaviors. However, positive behavior change was observed in studies that focused on comprehensive behavior change measures, such as self-care and self-management, each of which addresses several key lifestyle risk factors (eg, medication adherence). No significant difference was found for psychosocial outcomes (eg, quality of life). Significant changes in clinical outcomes were predominately related to disease-specific, multifaceted measures such as clinical disease control and cardiovascular risk score. Conclusions Iterative, user-centered development of digital platform structures could optimize user engagement with self-management support through existing, evidence-based digital interventions. Offering a palette of interventions with an appropriate degree of guidance has the potential to facilitate disease-specific health behavior change and effective self-management among a myriad of users, conditions, or stages of care.

Process variables as predictors of risk factor changes in a family health behavior change program

1993 ◽  
Vol 8 (2) ◽  
pp. 193-204 ◽  
Author(s):  
June Madsen ◽  
James F. Sallis ◽  
Joan W. Rupp ◽  
Karen L. Senn ◽  
Thomas L. Patterson ◽  
...  
Keyword(s):  
Risk Factor ◽  
Health Behavior ◽  
Behavior Change ◽  
Family Health ◽  
Health Behavior Change ◽  
Process Variables ◽  
Behavior Change Program

Predictors of Health Behavior Change in School-Based Obesity Prevention

2008 ◽  
Author(s):  
Kara Harrington ◽  
Maureen E. Kenny ◽  
Deirdre Brogan ◽  
Lynn Y. Walsh
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Obesity Prevention ◽  
Health Behavior Change ◽  
School Based
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