Intervention Mapping Protocol for Developing a Theory-Based Diabetes Self-Management Education Program

2015 ◽  
Vol 29 (2) ◽  
pp. 94-112 ◽  
Author(s):  
Misoon Song ◽  
Suyoung Choi ◽  
Se-an Kim ◽  
Kyoungsan Seo ◽  
Soo Jin Lee
Keyword(s):  
Intervention Mapping ◽  
Behavioral Outcomes ◽  
Management Program ◽  
Self Management ◽  
Behavioral Skills ◽  
Intervention Mapping Protocol ◽  
Behavior Outcomes ◽  
Health Promotion Programs ◽  
And Behavior ◽  
Diabetes Educators

Development of behavior theory–based health promotion programs is encouraged with the paradigm shift from contents to behavior outcomes. This article describes the development process of the diabetes self-management program for older Koreans (DSME-OK) using intervention mapping (IM) protocol. The IM protocol includes needs assessment, defining goals and objectives, identifying theory and determinants, developing a matrix to form change objectives, selecting strategies and methods, structuring the program, and planning for evaluation and pilot testing. The DSME-OK adopted seven behavior objectives developed by the American Association of Diabetes Educators as behavioral outcomes. The program applied an information-motivation-behavioral skills model, and interventions were targeted to 3 determinants to change health behaviors. Specific methods were selected to achieve each objective guided by IM protocol. As the final step, program evaluation was planned including a pilot test. The DSME-OK was structured as the 3 determinants of the IMB model were intervened to achieve behavior objectives in each session. The program has 12 weekly 90-min sessions tailored for older adults. Using the IM protocol in developing a theory-based self-management program was beneficial in terms of providing a systematic guide to developing theory-based and behavior outcome–focused health education programs.

Developing the Choosing Health digital weight loss and maintenance intervention using an Intervention Mapping approach (Preprint)

2021 ◽  
Author(s):  
Iga Palacz-Poborczyk ◽  
Paulina Idziak ◽  
Anna Januszewicz ◽  
Aleksandra Luszczynska ◽  
Eleanor Quested ◽  
...  
Keyword(s):  
Health Promotion ◽  
Weight Loss ◽  
Body Weight ◽  
Intervention Mapping ◽  
Health Intervention ◽  
Overweight And Obesity ◽  
Excess Body Weight ◽  
Evidence Based ◽  
Intervention Mapping Protocol ◽  
Health Promotion Programs

BACKGROUND Digital health promotion programs tailored to the individual are a potential cost-effective and scalable solution to enable self-management and provide support to people with excess body weight. However, solutions that are personalised, theory- and evidence- based and widely accessible are still limited. OBJECTIVE This study aimed to develop a digital behaviour change program, Choosing Health, that could identify modifiable predictors of weight loss and maintenance for each individual and utilise these to provide tailored support. METHODS We applied an Intervention Mapping protocol to design the program. This systematic approach to develop theory- and evidence-based health promotion programs consisted of 6 steps: development of (1) a logic model of the problem, (2) model of change, (3) intervention design and (4) production, (5) the implementation plan, and (6) evaluation plan. The decisions made during the Intervention Mapping process were guided by theory, existing evidence, and our own research (including four focus groups, N=40, expert consultations, N=12 and interviews, N=11). The stakeholders included researchers, public representatives (including individuals with overweight and obesity), and experts from the variety of relevant backgrounds (including nutrition, physical activity, and healthcare sector). RESULTS Following a structured process, we developed a tailored intervention that has potential to reduce excess body weight and support behaviour changes in people with overweight and obesity. The Choosing Health intervention consists of tailored personalised text messages and email support that correspond with theoretical domains potentially predictive of weight outcomes for each participant. Intervention content includes behaviour change techniques to support motivation maintenance, self-regulation, habit formation, environmental restructuring, social support and addressing physical and psychological resources. CONCLUSIONS Use of an Intervention Mapping protocol enabled the systematic development of the Choosing Health intervention and guided the implementation and evaluation of the program. Through the involvement of different stakeholders, including representatives of general public, we were able to map out program facilitators and barriers while increasing ecological validity of the program, to ensure that we build an intervention that is useful, user friendly, and informative. We also summarised lessons learnt for the Choosing Health intervention development and for other health promotion programs. CLINICALTRIAL This is an Intervention Mapping study which is currently evaluated through a Randomised Controlled Trial. This trial was registered with www.clinicaltrials.gov; registration number NCT04291482. INTERNATIONAL REGISTERED REPORT RR2-10.1136/bmjopen-2020-040183

scholarly journals Using Intervention Mapping to Develop a Digital Self-Management Program for People With Type 2 Diabetes: Tutorial on MyDESMOND (Preprint)

2019 ◽  
Author(s):  
Michelle Hadjiconstantinou ◽  
Sally Schreder ◽  
Christopher Brough ◽  
Alison Northern ◽  
Bernie Stribling ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Conditions ◽  
Development Process ◽  
Public Involvement ◽  
Digital Health ◽  
Intervention Mapping ◽  
Management Program ◽  
Self Management ◽  
Theoretical Frameworks

UNSTRUCTURED Digital health interventions (DHIs) are increasingly becoming integrated into diabetes self-management to improve behavior. Despite DHIs becoming available to people with chronic conditions, the development strategies and processes undertaken are often not well described. With theoretical frameworks available in current literature, it is vital that DHIs follow a shared language and communicate a robust development process in a comprehensive way. This paper aims to bring a unique perspective to digital development, as it describes the systematic process of developing a digital self-management program for people with type 2 diabetes, MyDESMOND. We provide a step-by-step guide, based on the intervention mapping (IM) framework to illustrate the process of adapting an existing face-to-face self-management program (diabetes education and self- management for ongoing and newly diagnosed, DESMOND) and translating it to a digital platform (MyDESMOND). Overall, this paper describes the 4 IM steps that were followed to develop MyDESMOND—step 1 to establish a planning group and a patient and public involvement group to describe the context of the intervention and program goals, step 2 to identify objectives and determinants at early design stages to maintain a focus on the strategies adopted, step 3 to generate the program components underpinned by appropriate psychological theories and models, and step 4 to develop the program content and describe the iterative process of refining the content and format of the digital program for implementation. This paper concludes with a number of key learnings collated throughout our development process, which we hope other researchers may find useful when developing DHIs for chronic conditions.

scholarly journals Information Architecture of Web-Based Interventions to Improve Health Outcomes: Systematic Review (Preprint)

2017 ◽  
Author(s):  
Jillian Pugatch ◽  
Emily Grenen ◽  
Stacy Surla ◽  
Mary Schwarz ◽  
Heather Cole-Lewis
Keyword(s):  
Health Behavior ◽  
Health Outcomes ◽  
Digital Health ◽  
Behavioral Outcomes ◽  
Evidence Base ◽  
Information Architecture ◽  
Site Condition ◽  
Behavior Outcomes ◽  
And Behavior ◽  
The Impact

BACKGROUND The rise in usage of and access to new technologies in recent years has led to a growth in digital health behavior change interventions. As the shift to digital platforms continues to grow, it is increasingly important to consider how the field of information architecture (IA) can inform the development of digital health interventions. IA is the way in which digital content is organized and displayed, which strongly impacts users’ ability to find and use content. While many information architecture best practices exist, there is a lack of empirical evidence on the role it plays in influencing behavior change and health outcomes. OBJECTIVE Our aim was to conduct a systematic review synthesizing the existing literature on website information architecture and its effect on health outcomes, behavioral outcomes, and website engagement. METHODS To identify all existing information architecture and health behavior literature, we searched articles published in English in the following databases (no date restrictions imposed): ACM Digital Library, CINAHL, Cochrane Library, Google Scholar, Ebsco, and PubMed. The search terms used included information terms (eg, information architecture, interaction design, persuasive design), behavior terms (eg, health behavior, behavioral intervention, ehealth), and health terms (eg, smoking, physical activity, diabetes). The search results were reviewed to determine if they met the inclusion and exclusion criteria created to identify empirical research that studied the effect of IA on health outcomes, behavioral outcomes, or website engagement. Articles that met inclusion criteria were assessed for study quality. Then, data from the articles were extracted using a priori categories established by 3 reviewers. However, the limited health outcome data gathered from the studies precluded a meta-analysis. RESULTS The initial literature search yielded 685 results, which was narrowed down to three publications that examined the effect of information architecture on health outcomes, behavioral outcomes, or website engagement. One publication studied the isolated impact of information architecture on outcomes of interest (ie, website use and engagement; health-related knowledge, attitudes, and beliefs; and health behaviors), while the other two publications studied the impact of information architecture, website features (eg, interactivity, email prompts, and forums), and tailored content on these outcomes. The paper that investigated IA exclusively found that a tunnel IA improved site engagement and behavior knowledge, but it decreased users’ perceived efficiency. The first study that did not isolate IA found that the enhanced site condition improved site usage but not the amount of content viewed. The second study that did not isolate IA found that a tailored site condition improved site usage, behavior knowledge, and some behavior outcomes. CONCLUSIONS No clear conclusion can be made about the relationship between IA and health outcomes, given limited evidence in the peer-reviewed literature connecting IA to behavioral outcomes and website engagement. Only one study reviewed solely manipulated IA, and we therefore recommend improving the scientific evidence base such that additional empirical studies investigate the impact of IA in isolation. Moreover, information from the gray literature and expert opinion might be identified and added to the evidence base, in order to lay the groundwork for hypothesis generation to improve empirical evidence on information architecture and health and behavior outcomes.

scholarly journals A multisite randomized controlled trial of two group education programs for fatigue in multiple sclerosis: Very long term (5–6 year) follow-up at one site

2021 ◽  
Vol 7 (4) ◽  
pp. 205521732110544
Author(s):  
Julia Norton ◽  
Sandra Joos ◽  
Michelle H Cameron ◽  
Cinda L Hugos
Keyword(s):  
Controlled Trial ◽  
Management Program ◽  
Self Management ◽  
Behavior Changes ◽  
Similar Frequency ◽  
Impact Scale ◽  
Fatigue Impact Scale ◽  
And Behavior

Background A multicomponent group MS fatigue self-management program reduced fatigue impact compared to a rigorous control 12 months after enrollment. Objectives Assess and compare changes between groups in fatigue impact and behavior changes implemented 5–6 years after enrollment. Methods The Modified Fatigue Impact Scale (MFIS) and a behavior change questionnaire were administered 5–6 years after enrollment. Results There were no significant changes in mean MFIS scores within or between groups from baseline to 5–6 years later. Behavior changes were of similar frequency in both groups. Conclusion Fatigue impact was stable and behavior changes were similar between groups 5–6 years after a fatigue self-management program.

scholarly journals Preconception Care Program for Women with Inflammatory Bowel Disease Using Intervention Mapping: A Protocol for Program Development

2020 ◽  
Vol 17 (24) ◽  
pp. 9365
Author(s):  
Young Jin Lee ◽  
Yeon Hee Kim ◽  
Hae Won Kim
Keyword(s):  
Inflammatory Bowel Disease ◽  
Bowel Disease ◽  
Intervention Mapping ◽  
Care Program ◽  
Program Outcomes ◽  
Behavioral Skills ◽  
Validity Assessment ◽  
Intervention Mapping Protocol ◽  
Inflammatory Bowel ◽  
And Performance

The prevalence of inflammatory bowel disease in Korea is rapidly increasing. Women with inflammatory bowel disease have a higher risk of adverse birth outcomes than healthy women, and the magnitude of this risk is related to the severity of the disease at the time of pregnancy. For a woman with inflammatory bowel disease to have a healthy pregnancy, interventions are needed to manage the disease before pregnancy—implying a need for pregnancy planning. In this study, the intervention mapping protocol was used to develop a program for this purpose. This protocol contains the following stages: needs assessment, setting of program outcomes and performance objectives, selection of methods and strategies based on theory, and development of the program and its materials. Through individual in-depth interviews and a literature review, individual and environmental determinants were assessed and six change objectives of the program were set. The methods and practical strategies were developed based on the information-motivation-behavioral skills model, self-efficacy theory, and social support theory. The final program, consisting of four sessions and the corresponding materials, was completed by making revisions based on a content validity assessment by experts and a pilot test. Follow-up studies on the implementation of this program will be conducted in the future.

Using the Intervention Mapping Protocol to Develop an App-Based Parenting Program to Promote Healthy Energy Balance-Related Parenting Practices (Preprint)

2020 ◽  
Author(s):  
Levie T Karssen ◽  
Jacqueline M Vink ◽  
Carolina de Weerth ◽  
Roel CJ Hermans ◽  
Carina PM de Kort ◽  
...  
Keyword(s):  
Energy Balance ◽  
Family Environment ◽  
Parenting Practices ◽  
Intervention Program ◽  
Preventive Intervention ◽  
Intervention Mapping ◽  
Behavioral Outcomes ◽  
Parenting Program ◽  
Trial Register ◽  
Intervention Mapping Protocol

BACKGROUND The family environment plays an important role in the development of children’s energy-balance related behaviors (EBRBs). As a result, parents’ energy-balance parenting practices (EBRPPs) are eminent targets of preventive childhood obesity programs. Families with a lower socioeconomic position (SEP) may benefit from participating in such programs, but are generally less well reached than families with a higher SEP. OBJECTIVE This study describes the application of the Intervention Mapping Protocol (IMP) for the development of an app-based preventive intervention program to promote healthy EBRPPs among parents of children (0-4 years old) with a lower SEP. METHODS The six steps of the IMP were used as a theory- and evidence-based framework to guide the development of the app-based preventive intervention program. RESULTS In Step 1, behavioral outcomes for the app-based program (ie, children have a healthy dietary intake, sufficient sleep, and restricted screen time/sufficient physical activity) and socio-cognitive (ie, knowledge, attitudes, self-efficacy) and automatic (ie, habitual behaviors) determinants of energy-balance related parenting were identified through a needs assessment. In Step 2, the behavioral outcomes were translated into performance objectives. To influence these objectives, in Step 3 theory-based intervention methods were selected for each of the determinants. In Step 4, the knowledge derived from the previous steps allowed for the development of the app-based program Samen Happie! through a process of continuous co-creation with parents and health professionals. In Step 5, community health services were identified as potential adopters for the app. Lastly, in Step 6, two (randomized controlled) trials were designed to evaluate the process and effects of the app among Dutch parents of infants (Trial 1) and preschoolers (Trial 2). These trials were completed in November 2019 (Trial 1) and February 2020 (Trial 2). CONCLUSIONS The IMP allowed for effective development of the app-based parenting program Samen Happie! to promote healthy EBRPPs among parents of infants and preschoolers. Through the integration of theory, empirical evidence, and data from the target population, as well as the process of continued co-creation, the program specifically addresses parents with a lower SEP. This increases the potential of the program to prevent the development of obesity in early childhood among families with a lower SEP in particular. CLINICALTRIAL Netherlands Trial Register (NTR) NL6727; https://www.trialregister.nl/trial/6727 Netherlands Trial Register (NTR) NL7371; https://www.trialregister.nl/trial/7371

scholarly journals Development of a self-management program for employees with complaints of the arm, neck, and/or shoulder: an intervention mapping approach

2015 ◽  
pp. 307 ◽  
Author(s):  
Nathan Hutting ◽  
Sarah I Detaille ◽  
Josephine A Engels ◽  
Yvonne F Heerkens ◽  
J Bart Staal ◽  
...  
Keyword(s):  
Intervention Mapping ◽  
Management Program ◽  
Self Management ◽  
Mapping Approach

scholarly journals Using Intervention Mapping to Develop a Digital Self-Management Program for People With Type 2 Diabetes: Tutorial on MyDESMOND

10.2196/17316 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e17316 ◽  
Author(s):  
Michelle Hadjiconstantinou ◽  
Sally Schreder ◽  
Christopher Brough ◽  
Alison Northern ◽  
Bernie Stribling ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Conditions ◽  
Development Process ◽  
Public Involvement ◽  
Digital Health ◽  
Intervention Mapping ◽  
Management Program ◽  
Self Management ◽  
Theoretical Frameworks

Digital health interventions (DHIs) are increasingly becoming integrated into diabetes self-management to improve behavior. Despite DHIs becoming available to people with chronic conditions, the development strategies and processes undertaken are often not well described. With theoretical frameworks available in current literature, it is vital that DHIs follow a shared language and communicate a robust development process in a comprehensive way. This paper aims to bring a unique perspective to digital development, as it describes the systematic process of developing a digital self-management program for people with type 2 diabetes, MyDESMOND. We provide a step-by-step guide, based on the intervention mapping (IM) framework to illustrate the process of adapting an existing face-to-face self-management program (diabetes education and self- management for ongoing and newly diagnosed, DESMOND) and translating it to a digital platform (MyDESMOND). Overall, this paper describes the 4 IM steps that were followed to develop MyDESMOND—step 1 to establish a planning group and a patient and public involvement group to describe the context of the intervention and program goals, step 2 to identify objectives and determinants at early design stages to maintain a focus on the strategies adopted, step 3 to generate the program components underpinned by appropriate psychological theories and models, and step 4 to develop the program content and describe the iterative process of refining the content and format of the digital program for implementation. This paper concludes with a number of key learnings collated throughout our development process, which we hope other researchers may find useful when developing DHIs for chronic conditions.

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