Community health behavior change through computer network health promotion: preliminary findings from Stanford Health-Net

1989 ◽  
Vol 30 (2-3) ◽  
pp. 137-144 ◽  
Author(s):  
Thomas N. Robinson
Keyword(s):  
Health Promotion ◽  
Health Behavior ◽  
Behavior Change ◽  
Community Health ◽  
Computer Network ◽  
Health Behavior Change

Proposing the concept of Perfection Quotient (PQ) as a measure of readiness for health behavior change

2018 ◽  
pp. e000116
Author(s):  
Manoj Sharma
Keyword(s):  
Health Promotion ◽  
Health Education ◽  
Health Behavior ◽  
Behavior Change ◽  
Health Behavior Change ◽  
Learning Abilities ◽  
Education And Health ◽  
Novel Concept ◽  
Health Promotion Interventions ◽  
The Impact

Intelligence Quotient (IQ) has been used for a long time to test for readiness of individuals with regard to their learning abilities.  It offers limited utility in ascertaining readiness toward health behavior change.  Work on emotional quotient (EQ) and X quotient (XQ) has been done in recent years but has not been applied for determining readiness toward health behavior change through health education and health promotion interventions.  The purpose of this editorial is to propose a novel concept of perfection quotient (PQ) that integrates IQ, EQ and XQ for ascertaining the readiness for health behavior change through health education and health promotion interventions in a variety of target populations. Such measure will be invaluable in ameliorating the impact of health education and health promotion interventions.

scholarly journals Behavior Change Techniques Included in Reports of Social Media Interventions for Promoting Health Behaviors in Adults: Content Analysis Within a Systematic Review

10.2196/16002 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e16002 ◽  
Author(s):  
Rosiane Simeon ◽  
Omar Dewidar ◽  
Jessica Trawin ◽  
Stephanie Duench ◽  
Heather Manson ◽  
...  
Keyword(s):  
Social Support ◽  
Social Media ◽  
Health Promotion ◽  
Health Behavior ◽  
Behavior Change ◽  
Health Behavior Change ◽  
Behavior Change Techniques ◽  
Coding Manual ◽  
Credible Source ◽  
Media Interventions

Background Social media are an increasingly commonly used platform for delivering health promotion interventions. Although recent research has focused on the effectiveness of social media interventions for health promotion, very little is known about the optimal content within such interventions, and the active ingredients to promote health behavior change using social media are not clear. Identifying which behavior change techniques (BCTs) are reported may help to clarify the content of interventions using a generalizable terminology that may facilitate future intervention development. Objective This study aimed to identify which BCTs are reported in social media interventions for promoting health behavior change in adults. Methods We included 71 studies conducted with adult participants (aged ≥18 years) and for which social media intervention was considered interactive in a Cochrane review of the effectiveness of such interventions. We developed a coding manual informed by the Behavior Change Technique Taxonomy version 1 (BCTTv1) to identify BCTs in the included studies. We identified BCTs in all study arms (including control) and described BCTs in the group and self-directed components of studies. We characterized the dose of delivery for each BCT by low and high intensity. We used descriptive analyses to characterize the reported BCTs. Results Our data consisted of 71 studies published from 2001 to 2017, mainly conducted in high-income countries (n=65). Most studies (n=31) used tailored, interactive websites to deliver the intervention; Facebook was the most used mainstream platform. In developing our coding manual, we adapted some BCTTv1 instructions to better capture unique nuances of how BCTs were operationalized in social media with respect to likes, retweets, smiles, congratulations, and badges. Social support (unspecified), instruction on how to perform the behavior, and credible source were most frequently identified BCTs in intervention arms of studies and group-delivery settings, whereas instruction on how to perform the behavior was most commonly applied in self-directed components of studies, control arms, and individual participant settings. Instruction on how to perform the behavior was also the most frequently reported BCT in both intervention and control arms simultaneously. Instruction on how to perform the behavior, social support (unspecified), self-monitoring of behavior, information about health consequences, and credible source were identified in the top 5 BCTs delivered with the highest intensity. Conclusions This study within a review provides a detailed description of the BCTs and their dose to promote behavior change in web-based, interactive social media interventions. Clarifying active ingredients in social media interventions and the intensity of their delivery may help to develop future interventions that can more clearly build upon the existing evidence.

The future of health behavior change research: What is needed to improve translation of research into health promotion practice?

2004 ◽  
Vol 27 (1) ◽  
pp. 3-12 ◽  
Author(s):  
Russell E. Glasgow ◽  
Lisa M. Klesges ◽  
David A. Dzewaltowski ◽  
Sheana S. Bull ◽  
Paul Estabrooks
Keyword(s):  
Health Promotion ◽  
Health Behavior ◽  
Behavior Change ◽  
Health Behavior Change ◽  
The Future ◽  
Health Promotion Practice

The Role of Targeted E-Mail Messaging at the Worksite

2012 ◽  
pp. 504-513
Author(s):  
Betsy B. Aumiller
Keyword(s):  
Health Promotion ◽  
Health Behavior ◽  
Behavior Change ◽  
Health Behavior Change ◽  
Care Utilization ◽  
Educational Strategies ◽  
Worksite Health ◽  
E Mail ◽  
Insight Into

Employers are vested in pursuing educational strategies that work to improve employee health and decrease health care utilization. The use of e-mail for health promotion efforts at the worksite presents the freedom to deliver messages outside the boundaries of time and location; preliminary studies suggest that it is an effective way to encourage health behavior. This chapter explores health behavior change, adult learning theory, and media effects research regarding targeted e-mail messaging at the worksite to offer insight into how people perceive and interact with different forms of messages and what kinds of visual enhancements may positively impact perception of the message itself. Results of a qualitative study investigating employees’ interpretations of message meaning, perceptions of visual e-mail enhancements and associated health behavior change will be discussed as promising research in worksite health promotion.

Recovering function and surviving treatments are primary motivators for health behavior change in patients with head and neck cancer: Qualitative focus group study

2015 ◽  
Vol 14 (4) ◽  
pp. 364-375 ◽  
Author(s):  
Melissa Henry ◽  
Ala Bdira ◽  
Maria Cherba ◽  
Sylvie Lambert ◽  
Franco A. Carnevale ◽  
...  
Keyword(s):  
Health Promotion ◽  
Head And Neck Cancer ◽  
Health Behavior ◽  
Behavior Change ◽  
Health Behaviors ◽  
Head And Neck ◽  
Neck Cancer ◽  
Patient Engagement ◽  
Health Behavior Change ◽  
Uv Protection

AbstractObjective:Against medical advice, head and neck cancer (HNC) patients have been shown to continue to smoke and misuse alcohol post-diagnosis and treatment. This study aimed to better understand the barriers to and facilitators of health behavior change (HBC) in HNC patients.Method:We conducted nine focus groups following a standard protocol. Eligible patients were diagnosed less than three years previously with a primary HNC and selected using maximum variability sampling (gender, age, cancer stage, smoking, and alcohol misuse). Thematic analysis was conducted using NVivo 10 software.Results:Participants were mostly men (79%), 65 years of age (SD = 10.1), and married/common-law (52%, n = 15). Mean time from diagnosis was 19 months (SD = 12.3, range = 5.0–44.5), and most had advanced cancer (65.5%, n = 19). Participants provided a larger than anticipated definition of health behaviors, encompassing both traditional (smoking, drinking, diet, exercise, UV protection) and HNC-related (e.g., dental hygiene, skin care, speech exercises, using a PEG, gaining weight). The main emerging theme was patient engagement, that is, being proactive in rehabilitation, informed by the medical team, optimistic, flexible, and seeking support when needed. Patients were primarily motivated to stay proactive and engage in positive health behaviors in order to return to normal life and reclaim function, rather than to prevent a cancer recurrence. Barriers to patient engagement included emotional aspects (e.g., anxiety, depression, trauma, demoralization), symptoms (e.g., fatigue, pain), lack of information about HBC, and healthcare providers' authoritarian approach in counseling on HBC. We found some commonalities in barriers and facilitators according to behavior type (i.e., smoking/drinking/UV protection vs. diet/exercise).Significance of Results:This study underlines the key challenges in addressing health behaviors in head and neck oncology, including treatment-related functional impairments, symptom burden, and the disease's emotional toll. This delicate context requires health promotion strategies involving close rehabilitative support from a multidisciplinary team attentive to the many struggles of patients both during treatments and in the longer-term recovery period. Health promotion in HNC should be integrated into routine clinical care and target both traditional and HNC-related behaviors, emphasizing emotional and functional rehabilitation as key components.

scholarly journals Behavior Change Techniques Included in Reports of Social Media Interventions for Promoting Health Behaviors in Adults: Content Analysis Within a Systematic Review (Preprint)

2019 ◽  
Author(s):  
Rosiane Simeon ◽  
Omar Dewidar ◽  
Jessica Trawin ◽  
Stephanie Duench ◽  
Heather Manson ◽  
...  
Keyword(s):  
Social Support ◽  
Social Media ◽  
Health Promotion ◽  
Health Behavior ◽  
Behavior Change ◽  
Health Behavior Change ◽  
Behavior Change Techniques ◽  
Coding Manual ◽  
Credible Source ◽  
Media Interventions

BACKGROUND Social media are an increasingly commonly used platform for delivering health promotion interventions. Although recent research has focused on the effectiveness of social media interventions for health promotion, very little is known about the optimal content within such interventions, and the active ingredients to promote health behavior change using social media are not clear. Identifying which behavior change techniques (BCTs) are reported may help to clarify the content of interventions using a generalizable terminology that may facilitate future intervention development. OBJECTIVE This study aimed to identify which BCTs are reported in social media interventions for promoting health behavior change in adults. METHODS We included 71 studies conducted with adult participants (aged ≥18 years) and for which social media intervention was considered interactive in a Cochrane review of the effectiveness of such interventions. We developed a coding manual informed by the Behavior Change Technique Taxonomy version 1 (BCTTv1) to identify BCTs in the included studies. We identified BCTs in all study arms (including control) and described BCTs in the group and self-directed components of studies. We characterized the dose of delivery for each BCT by low and high intensity. We used descriptive analyses to characterize the reported BCTs. RESULTS Our data consisted of 71 studies published from 2001 to 2017, mainly conducted in high-income countries (n=65). Most studies (n=31) used tailored, interactive websites to deliver the intervention; Facebook was the most used mainstream platform. In developing our coding manual, we adapted some BCTTv1 instructions to better capture unique nuances of how BCTs were operationalized in social media with respect to likes, retweets, smiles, congratulations, and badges. Social support (unspecified), instruction on how to perform the behavior, and credible source were most frequently identified BCTs in intervention arms of studies and group-delivery settings, whereas instruction on how to perform the behavior was most commonly applied in self-directed components of studies, control arms, and individual participant settings. Instruction on how to perform the behavior was also the most frequently reported BCT in both intervention and control arms simultaneously. Instruction on how to perform the behavior, social support (unspecified), self-monitoring of behavior, information about health consequences, and credible source were identified in the top 5 BCTs delivered with the highest intensity. CONCLUSIONS This study within a review provides a detailed description of the BCTs and their dose to promote behavior change in web-based, interactive social media interventions. Clarifying active ingredients in social media interventions and the intensity of their delivery may help to develop future interventions that can more clearly build upon the existing evidence.

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