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Meisel SN, Boness CL, Miranda R, Witkiewitz K. Beyond mediators: A critical review and methodological path forward for studying mechanisms in alcohol use treatment research. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2024; 48:215-229. [PMID: 38099412 PMCID: PMC10922633 DOI: 10.1111/acer.15242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 11/14/2023] [Accepted: 12/05/2023] [Indexed: 12/29/2023]
Abstract
Understanding how treatments for alcohol use disorder (AUD) facilitate behavior change has long been recognized as an important area of research for advancing clinical care. However, despite decades of research, the specific mechanisms of change for most AUD treatments remain largely unknown because most prior work in the field has focused only on statistical mediation. Statistical mediation is a necessary but not sufficient condition to establish evidence for a mechanism of change. Mediators are intermediate variables that account statistically for the relationship between independent and dependent variables, whereas mechanisms provide more detailed explanations of how an intervention leads to a desired outcome. Thus, mediators and mechanisms are not equivalent. To advance mechanisms of behavior change research, in this critical review we provide an overview of methodological shortfalls of existing AUD treatment mechanism research and introduce an etiologically informed precision medicine approach that facilitates the testing of mechanisms of behavior change rather than treatment mediators. We propose a framework for studying mechanisms in alcohol treatment research that promises to facilitate our understanding of behavior change and precision medicine (i.e., for whom a given mechanism of behavior change operates and under what conditions). The framework presented in this review has several overarching goals, one of which is to provide a methodological roadmap for testing AUD recovery mechanisms. We provide two examples of our framework, one pharmacological and one behavioral, to facilitate future efforts to implement this methodological approach to mechanism research. The framework proposed in this critical review facilitates the alignment of AUD treatment mechanism research with current theories of etiologic mechanisms, precision medicine efforts, and cross-disciplinary approaches to testing mechanisms. Although no framework can address all the challenges related to mechanisms research, our goal is to help facilitate a shift toward more rigorous and falsifiable behavior change research.
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Affiliation(s)
| | | | - Robert Miranda
- E. P. Bradley Hospital, Riverside, RI USA
- Department of Psychiatry & Human Behavior, Brown University, Providence, RI USA
| | - Katie Witkiewitz
- Center on Alcohol, Substance use, And Addictions, University of New Mexico
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Dyson J, Skinner J, Crick J, Crooks MG. Designing an intervention to help the quitters quit: A qualitative, intervention co-design study. PEC INNOVATION 2023; 2:100141. [PMID: 37214522 PMCID: PMC10194124 DOI: 10.1016/j.pecinn.2023.100141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 02/17/2023] [Accepted: 02/18/2023] [Indexed: 05/24/2023]
Abstract
Objective E-cigarettes are increasingly being provided by publicly funded stop smoking services. Our objectives were to understand the challenges and establish the means by which services could best support the use and subsequent discontinuation of e-cigarettes for this purpose. Methods Semi-structured interviews and co-design workshops with service users and providers of a stop smoking service. Results Thematic analysis was conducted. Interviews identified: 1. a reluctance to use e-cigarettes for cessation, 2. struggle to quit e-cigarettes (dependency, fear of relapse, compensatory "puffing") and 3. service development needs (consistency of approach). Co-design workshops suggested: 1. facilitation of e-cigarette use through understanding previous failed attempts, 2. offering a longer, two-staged approach to tobacco then e-cigarette cessation, careful timing of behavioural strategies and 3. enhanced communication between providers. Conclusions Our study suggests additional modifications to smoking cessation support measures when e-cigarettes are used for smoking cessation to address the challenges posed by public health guidance: "smokers should switch to vaping and vapers should stop smoking completely". Innovation Our study is the first to consider experiences of service users and providers about the challenges of using e-cigarettes for cessation; our co-design group of providers informed nine strategies needed to support this approach in practice.
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Affiliation(s)
- Judith Dyson
- Faculty of Health, Education and Life Sciences, Birmingham City University, Birmingham, UK
| | - James Skinner
- Faculty of Business, Law and Social Sciences, Birmingham City University, Birmingham, UK
| | - James Crick
- Hull Clinical Commissioning Group/Hull City Council, Hull, UK
| | - Michael G. Crooks
- Respiratory Research Group, Institute for Clinical and Applied Health Research, Hull York Medical School, Hull, UK
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Dhinagaran DA, Martinengo L, Ho MHR, Joty S, Kowatsch T, Atun R, Tudor Car L. Designing, Developing, Evaluating, and Implementing a Smartphone-Delivered, Rule-Based Conversational Agent (DISCOVER): Development of a Conceptual Framework. JMIR Mhealth Uhealth 2022; 10:e38740. [PMID: 36194462 PMCID: PMC9579935 DOI: 10.2196/38740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 08/02/2022] [Accepted: 08/26/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Conversational agents (CAs), also known as chatbots, are computer programs that simulate human conversations by using predetermined rule-based responses or artificial intelligence algorithms. They are increasingly used in health care, particularly via smartphones. There is, at present, no conceptual framework guiding the development of smartphone-based, rule-based CAs in health care. To fill this gap, we propose structured and tailored guidance for their design, development, evaluation, and implementation. OBJECTIVE The aim of this study was to develop a conceptual framework for the design, evaluation, and implementation of smartphone-delivered, rule-based, goal-oriented, and text-based CAs for health care. METHODS We followed the approach by Jabareen, which was based on the grounded theory method, to develop this conceptual framework. We performed 2 literature reviews focusing on health care CAs and conceptual frameworks for the development of mobile health interventions. We identified, named, categorized, integrated, and synthesized the information retrieved from the literature reviews to develop the conceptual framework. We then applied this framework by developing a CA and testing it in a feasibility study. RESULTS The Designing, Developing, Evaluating, and Implementing a Smartphone-Delivered, Rule-Based Conversational Agent (DISCOVER) conceptual framework includes 8 iterative steps grouped into 3 stages, as follows: design, comprising defining the goal, creating an identity, assembling the team, and selecting the delivery interface; development, including developing the content and building the conversation flow; and the evaluation and implementation of the CA. They were complemented by 2 cross-cutting considerations-user-centered design and privacy and security-that were relevant at all stages. This conceptual framework was successfully applied in the development of a CA to support lifestyle changes and prevent type 2 diabetes. CONCLUSIONS Drawing on published evidence, the DISCOVER conceptual framework provides a step-by-step guide for developing rule-based, smartphone-delivered CAs. Further evaluation of this framework in diverse health care areas and settings and for a variety of users is needed to demonstrate its validity. Future research should aim to explore the use of CAs to deliver health care interventions, including behavior change and potential privacy and safety concerns.
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Affiliation(s)
| | - Laura Martinengo
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Moon-Ho Ringo Ho
- School of Social Sciences, Nanyang Technological University Singapore, Singapore, Singapore
| | - Shafiq Joty
- School of Computer Sciences and Engineering, Nanyang Technological University Singapore, Singapore, Singapore
| | - Tobias Kowatsch
- Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland
- School of Medicine, University of St Gallen, St Gallen, Switzerland
- Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
- Future Health Technologies Programme, Campus for Research Excellence and Technological Enterprise, Singapore-ETH Centre, Singapore, Singapore
| | - Rifat Atun
- Department of Global Health & Population, Department of Health Policy & Management, Harvard TH Chan School of Public Health, Harvard University, Cambridge, MA, United States
- Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Cambridge, MA, United States
- Health Systems Innovation Lab, Harvard TH Chan School of Public Health, Harvard University, Cambridge, MA, United States
| | - Lorainne Tudor Car
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
- Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom
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Groves S, McCutchan G, Quaife SL, Murray RL, Ostroff JS, Brain K, Crosbie PAJ, Yorke J, Baldwin D, Field JK, McWilliams L. Attitudes towards the integration of smoking cessation into lung cancer screening in the United Kingdom: A qualitative study of individuals eligible to attend. Health Expect 2022; 25:1703-1716. [PMID: 35514094 PMCID: PMC9327806 DOI: 10.1111/hex.13513] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 04/14/2022] [Accepted: 04/15/2022] [Indexed: 12/16/2022] Open
Abstract
INTRODUCTION There is limited research exploring how smoking cessation treatment should be implemented into lung cancer screening in the United Kingdom. This study aimed to understand attitudes and preferences regarding the integration of smoking cessation support within lung cancer screening from the perspective of those eligible. METHODS Thirty-one lung cancer screening eligible individuals aged 55-80 years with current or former smoking histories were recruited using community outreach and social media. Two focus groups (three participants each) and 25 individual telephone interviews were conducted. Data were analysed using the framework approach to thematic analysis. RESULTS Three themes were generated: (1) bringing lung cancer closer to home, where screening was viewed as providing an opportunity to motivate smoking cessation, depending on perceived personal risk and screening result; (2) a sensitive approach to cessation with the uptake of cessation support considered to be largely dependent on screening practitioners' communication style and expectations of stigma and (3) creating an equitable service that focuses on ease of access as a key determinant of uptake, where integrating cessation within the screening appointment may sustain increased quit motivation and prevent loss to follow-up. CONCLUSIONS The integration of smoking cessation into lung cancer screening was viewed positively by those eligible to attend. Screening appointments providing personalized lung health information may increase cessation motivation. Services should proactively support participants with possible fatalistic views regarding risk and decreased cessation motivation upon receiving a good screening result. To increase engagement in cessation, services need to be person-centred. PATIENT OR PUBLIC CONTRIBUTION This study has included patient and public involvement throughout, including input regarding study design, research materials, recruitment strategies and research summaries.
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Affiliation(s)
- Samantha Groves
- School of Health Sciences, Manchester Centre for Health Psychology, Division of Psychology and Mental Health, Faculty of Biology, Medicine and HealthUniversity of ManchesterManchesterUK
| | - Grace McCutchan
- Wales Cancer Research Centre, Division of Population Medicine, School of MedicineCardiff UniversityCardiffUK
| | - Samantha L. Quaife
- Centre for Prevention, Detection and Diagnosis, Wolfson Institute of Population HealthQueen Mary University of LondonLondonUK
| | - Rachael L. Murray
- Academic Unit of Lifespan and Population Health, Faculty of MedicineUniversity of NottinghamNottinghamUK
| | - Jamie S. Ostroff
- Memorial Sloan‐Kettering Cancer Center, Behavioral Sciences ServiceNew YorkNew YorkUSA
| | - Kate Brain
- Wales Cancer Research Centre, Division of Population Medicine, School of MedicineCardiff UniversityCardiffUK
| | - Philip A. J. Crosbie
- LydiaBecker Institute of Immunology and Inflammation, Division of Immunology, Immunity to Infection and Respiratory MedicineThe University of ManchesterWythenshaweUK
| | - Janelle Yorke
- School of Health Sciences, Manchester Centre for Health Psychology, Division of Psychology and Mental Health, Faculty of Biology, Medicine and HealthUniversity of ManchesterManchesterUK
- Christie Patient‐Centred Research, Division of Nursing, Midwifery and Social Work, The Christie NHS Foundation TrustThe University of ManchesterManchesterUK
| | - David Baldwin
- Department of Respiratory MedicineNottingham University Hospitals NHS TrustNottinghamUK
| | - John K. Field
- Institute of Systems, Molecular and Integrative Biology, Molecular and Clinical Cancer Medicine, Faculty of Health and Life SciencesUniversity of LiverpoolLiverpoolUK
| | - Lorna McWilliams
- School of Health Sciences, Manchester Centre for Health Psychology, Division of Psychology and Mental Health, Faculty of Biology, Medicine and HealthUniversity of ManchesterManchesterUK
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Alperstein S, Beach EF. Prioritizing the target audience for a hearing awareness campaign in Australia using the TARPARE model. Health Promot Int 2022:6567644. [PMID: 35415757 DOI: 10.1093/heapro/daac041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Hearing loss affects one in six Australians, and it is estimated that around one-third of all hearing loss is preventable. Over the past decade, there have been repeated calls for the development of a national campaign in Australia, aimed at raising the public's awareness of hearing health. We identified six target groups either at risk of developing hearing loss, vulnerable to poor outcomes as a result of untreated hearing loss, or lacking awareness of hearing health services, and applied the TARPARE model as a way of gathering insight into how a national hearing campaign might prioritize these different population segments. An online survey of prominent Australian academics, health practitioners and advocacy professionals with expertise in hearing health and/or public health promotion was created, through which their views on each of six potential target groups that had been identified as likely recipients of a potential hearing health campaign was sought. Young children and caregivers received the highest score based on survey responses and TARPARE criteria. A qualitative analysis of open-ended survey responses from the survey respondents revealed three key themes to consider as part of a potential campaign: Accessibility and availability of hearing services, Deciding on a preventative or treatment-focused approach, and The difficulty of changing behavior.
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Affiliation(s)
- Simon Alperstein
- National Acoustic Laboratories, Australian Hearing Hub, 16 University Ave, Macquarie Park, NSW 2109, Australia
| | - Elizabeth Francis Beach
- National Acoustic Laboratories, Australian Hearing Hub, 16 University Ave, Macquarie Park, NSW 2109, Australia
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Marshall S, Moore AC, Fleming A, Sahm LJ. A Video-Based Behavioral Intervention Associated with Improved HPV Knowledge and Intention to Vaccinate. Vaccines (Basel) 2022; 10:vaccines10040562. [PMID: 35455311 PMCID: PMC9025539 DOI: 10.3390/vaccines10040562] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 03/11/2022] [Accepted: 04/02/2022] [Indexed: 02/04/2023] Open
Abstract
The aim of this study was to design, develop, and evaluate the feasibility of a theory- and evidence-based intervention to improve human papillomavirus (HPV) and HPV vaccine knowledge and intention to vaccinate, among parent–daughter dyads. A theory- and evidence-based online behavioral intervention, “Is the HPV vaccine for me?”, was developed to improve HPV and HPV vaccine knowledge and intention to vaccinate. Knowledge, intention to vaccinate, and feasibility of the intervention were evaluated in a prospective, randomized, controlled feasibility trial. A total of 49 parent–daughter dyads completed the baseline knowledge assessment (n = 24 control, n = 25 intervention), and 35 dyads completed the knowledge assessment at week 2 (n = 17 control, n = 18 intervention). The intervention resulted in a statistically significant increase in HPV and HPV vaccine knowledge and intention to vaccinate. All intervention participants found the video interesting, while 96% found it useful. This intervention was found to be useful, effective, safe, and acceptable in this feasibility study.
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Affiliation(s)
- Sarah Marshall
- Pharmaceutical Care Research Group, School of Pharmacy, University College Cork, T12 K8AF Cork, Ireland; (S.M.); (A.F.)
| | - Anne C. Moore
- School of Biochemistry and Cell Biology, University College Cork, T12 K8AF Cork, Ireland;
| | - Aoife Fleming
- Pharmaceutical Care Research Group, School of Pharmacy, University College Cork, T12 K8AF Cork, Ireland; (S.M.); (A.F.)
- Department of Pharmacy, Mercy University Hospital, T12 WE28 Cork, Ireland
| | - Laura J. Sahm
- Pharmaceutical Care Research Group, School of Pharmacy, University College Cork, T12 K8AF Cork, Ireland; (S.M.); (A.F.)
- Department of Pharmacy, Mercy University Hospital, T12 WE28 Cork, Ireland
- Correspondence:
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Kennedy M, Kumar R, Ryan NM, Bennett J, La Hera Fuentes G, Gould GS. Codeveloping a multibehavioural mobile phone app to enhance social and emotional well-being and reduce health risks among Aboriginal and Torres Strait Islander women during preconception and pregnancy: a three-phased mixed-methods study. BMJ Open 2021; 11:e052545. [PMID: 34819285 PMCID: PMC8614130 DOI: 10.1136/bmjopen-2021-052545] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE Describe the development and pretest of a prototype multibehavioural change app MAMA-EMPOWER. DESIGN Mixed-methods study reporting three phases: (1) contextual enquiry included stakeholder engagement and qualitative interviews with Aboriginal women, (2) value specification included user-workshop with an Aboriginal researcher, community members and experts, (3) codesign with Aboriginal researchers and community members, followed by a pretest of the app with Aboriginal women, and feedback from qualitative interviews and the user-Mobile Application Rating Scale (U-MARS) survey tool. SETTINGS Aboriginal women and communities in urban and regional New South Wales, Australia. PARTICIPANTS Phase 1: interviews, 8 Aboriginal women. Phase 2: workshop, 6 Aboriginal women. Phase 3: app trial, 16 Aboriginal women. U-MARS, 5 Aboriginal women. RESULTS Phase 1 interviews revealed three themes: current app use, desired app characteristics and implementation. Phase 2 workshop provided guidance for the user experience. Phase 3 app trial assessed all content areas. The highest ratings were for information (mean score of 3.80 out of 5, SD=0.77) and aesthetics (mean score of 3.87 with SD of 0.74), while functionality, engagement and subjective quality had lower scores. Qualitative interviews revealed the acceptability of the app, however, functionality was problematic. CONCLUSIONS Developing a mobile phone app, particularly in an Aboriginal community setting, requires extensive consultation, negotiation and design work. Using a strong theoretical foundation of behavioural change technique's coupled with the consultative approach has added rigour to this process. Using phone apps to implement behavioural interventions in Aboriginal community settings remains a new area for investigation. In the next iteration of the app, we aim to find better ways to personalise the content to women's needs, then ensure full functionality before conducting a larger trial. We predict the process of development will be of interest to other health researchers and practitioners.
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Affiliation(s)
- Michelle Kennedy
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Ratika Kumar
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Nicole M Ryan
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Jessica Bennett
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Gina La Hera Fuentes
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Gillian Sandra Gould
- Faculty of Health, Southern Cross University, Lismore, New South Wales, Australia
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8
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van Agteren J, Iasiello M, Ali K, Fassnacht DB, Furber G, Woodyatt L, Howard A, Kyrios M. Using the Intervention Mapping Approach to Develop a Mental Health Intervention: A Case Study on Improving the Reporting Standards for Developing Psychological Interventions. Front Psychol 2021; 12:648678. [PMID: 34675833 PMCID: PMC8524131 DOI: 10.3389/fpsyg.2021.648678] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Accepted: 08/09/2021] [Indexed: 01/02/2023] Open
Abstract
Replicating or distilling information from psychological interventions reported in the scientific literature is hindered by inadequate reporting, despite the existence of various methodologies to guide study reporting and intervention development. This article provides an in-depth explanation of the scientific development process for a mental health intervention, and by doing so illustrates how intervention development methodologies can be used to improve development reporting standards of interventions. Intervention development was guided by the Intervention Mapping approach and the Theoretical Domains Framework. It relied on an extensive literature review, input from a multi-disciplinary group of stakeholders and the learnings from projects on similar psychological interventions. The developed programme, called the “Be Well Plan”, focuses on self-exploration to determine key motivators, resources and challenges to improve mental health outcomes. The programme contains an online assessment to build awareness about one’s mental health status. In combination with the exploration of different evidence-based mental health activities from various therapeutic backgrounds, the programme teaches individuals to create a personalised mental health and wellbeing plan. The use of best-practice intervention development frameworks and evidence-based behavioural change techniques aims to ensure optimal intervention impact, while reporting on the development process provides researchers and other stakeholders with an ability to scientifically interrogate and replicate similar psychological interventions.
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Affiliation(s)
- Joep van Agteren
- Wellbeing and Resilience Centre, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.,Órama Institute for Mental Health and Wellbeing, Adelaide, SA, Australia
| | - Matthew Iasiello
- Wellbeing and Resilience Centre, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.,College of Nursing and Health Science, Flinders University, Adelaide, SA, Australia
| | - Kathina Ali
- Órama Institute for Mental Health and Wellbeing, Adelaide, SA, Australia.,College of Education, Psychology and Social Work, Flinders University, Adelaide, SA, Australia
| | - Daniel B Fassnacht
- Órama Institute for Mental Health and Wellbeing, Adelaide, SA, Australia.,College of Education, Psychology and Social Work, Flinders University, Adelaide, SA, Australia
| | - Gareth Furber
- Health Counselling and Disability Services, Flinders University, Adelaide, SA, Australia
| | - Lydia Woodyatt
- College of Education, Psychology and Social Work, Flinders University, Adelaide, SA, Australia
| | - Alexis Howard
- College of Education, Psychology and Social Work, Flinders University, Adelaide, SA, Australia
| | - Michael Kyrios
- Órama Institute for Mental Health and Wellbeing, Adelaide, SA, Australia.,College of Education, Psychology and Social Work, Flinders University, Adelaide, SA, Australia
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Pirotta S, Joham AE, Moran LJ, Skouteris H, Lim SS. Informing a PCOS Lifestyle Program: Mapping Behavior Change Techniques to Barriers and Enablers to Behavior Change Using the Theoretical Domains Framework. Semin Reprod Med 2021; 39:143-152. [PMID: 34433214 DOI: 10.1055/s-0041-1735456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
This article aimed to identify the behavior change techniques (BCTs) based on facilitators and barriers to lifestyle management in women with polycystic ovary syndrome (PCOS) according to the behavior change wheel (BCW). This qualitative study design using inductive thematic analysis following semistructured interviews (n = 20) identified barriers and enablers to lifestyle management. These were then mapped to Capability, Opportunity, Motivation-Behavioral Model (COM-B) constructs and the corresponding Theoretical Domains Framework (TDF) domains. This study included women with PCOS residing in Australia. Main outcome measures include intervention functions, policy categories, and BCTs described in the BCW. Twenty-three BCTs were recognized to influence behavior change in women with PCOS. Factors were categorized into the subcomponents of the COM-B: psychological capability (e.g., lack of credible information), physical capability (e.g., managing multiple health conditions), physical opportunity (e.g., limited access to resources), social opportunity (e.g., adequate social support), reflective motivation (e.g., positive health expectancies following behavior change), and automatic motivation (e.g., emotional eating). Future research should use this work to guide PCOS lifestyle intervention development and then test intervention effectiveness through an experimental phase to provide empirical evidence for wider use and implementation of tailored, theory-informed PCOS lifestyle programs as part of evidence-based PCOS management.
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Affiliation(s)
- Stephanie Pirotta
- Health and Social Care Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - A E Joham
- Health and Social Care Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.,Department of Diabetes, Monash Health, Clayton, Victoria, Australia
| | - L J Moran
- Health and Social Care Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - H Skouteris
- Health and Social Care Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.,Warwick Business School, Warwick University, Coventry, United Kingdom
| | - S S Lim
- Health and Social Care Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
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10
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Qian Y, Gui W, Ma F, Dong Q. Exploring features of social support in a Chinese online smoking cessation community: A multidimensional content analysis of user interaction data. Health Informatics J 2021; 27:14604582211021472. [PMID: 34082598 DOI: 10.1177/14604582211021472] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Due to the rapid development of information technology, an increasing number of smokers choose online smoking cessation communities to interact with other individuals to help themselves quit smoking. Though it is well known that social support plays a key role in the process of smoking cessation, the features of social support that one can get from online smoking cessation communities remain unclear. We collected user interaction data from the largest Chinese online smoking cessation community, the quit smoking forum of Baidu Tieba. We selected 2758 replies from 29 active repliers and 408 correlated posts as our data set. Multidimensional content analysis is carried out from three aspects: posting scenarios, user quitting behavior stages, and types of social support. This article also explores the co-occurrence relationships of different types of social support by social network analysis. Results showed that users receive different compositions of social support in various posting scenarios and behavior stages. In most cases, emotional support is the most typical support the community provides. The community will provide more informational support when needed. Besides, informational support, especially personal experience and perceptual knowledge, has more diverse combination patterns with other types of social support. "Gratitude-Mutual assistance" and "Encouragement-Mutual assistance" are the most frequent co-occurrence relationships. The online smoking cessation community brings people who quit smoking together, and users provide rich types of social support for each other. Users can effectively obtain expected social support in different posting scenarios and smoking cessation stages. Smoking cessation projects should be designed to promote user communication and interaction, which positively affects achieving users' smoking cessation goals.
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Affiliation(s)
| | | | | | - Qingxing Dong
- Wuhan University, China.,Central China Normal University, China
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11
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Ali R, Zhang Z, Bux Soomro M, Gogan ICW, Soomro HR. Tobacco control via quick response code and mobile health technologies: Empirical-evidence of the health belief model theory. HUMAN SYSTEMS MANAGEMENT 2020. [DOI: 10.3233/hsm-190629] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Rahib Ali
- School of Management Science and Economy, Harbin Institute of Technology, Heilongjiang, China
| | - Ziqiong Zhang
- School of Management Science and Economy, Harbin Institute of Technology, Heilongjiang, China
| | - Muhammad Bux Soomro
- Computer Science Department, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Larkana Campus, Pakistan
| | | | - Habib Rehman Soomro
- Management Sciences Department, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Larkana Campus, Pakistan
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12
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Miralles I, Granell C, Díaz-Sanahuja L, Van Woensel W, Bretón-López J, Mira A, Castilla D, Casteleyn S. Smartphone Apps for the Treatment of Mental Disorders: Systematic Review. JMIR Mhealth Uhealth 2020; 8:e14897. [PMID: 32238332 PMCID: PMC7163422 DOI: 10.2196/14897] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 12/05/2019] [Accepted: 01/20/2020] [Indexed: 12/15/2022] Open
Abstract
Background Smartphone apps are an increasingly popular means for delivering psychological interventions to patients suffering from a mental disorder. In line with this popularity, there is a need to analyze and summarize the state of the art, both from a psychological and technical perspective. Objective This study aimed to systematically review the literature on the use of smartphones for psychological interventions. Our systematic review has the following objectives: (1) analyze the coverage of mental disorders in research articles per year; (2) study the types of assessment in research articles per mental disorder per year; (3) map the use of advanced technical features, such as sensors, and novel software features, such as personalization and social media, per mental disorder; (4) provide an overview of smartphone apps per mental disorder; and (5) provide an overview of the key characteristics of empirical assessments with rigorous designs (ie, randomized controlled trials [RCTs]). Methods The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for systematic reviews were followed. We performed searches in Scopus, Web of Science, American Psychological Association PsycNET, and Medical Literature Analysis and Retrieval System Online, covering a period of 6 years (2013-2018). We included papers that described the use of smartphone apps to deliver psychological interventions for known mental disorders. We formed multidisciplinary teams, comprising experts in psychology and computer science, to select and classify articles based on psychological and technical features. Results We found 158 articles that met the inclusion criteria. We observed an increasing interest in smartphone-based interventions over time. Most research targeted disorders with high prevalence, that is, depressive (31/158,19.6%) and anxiety disorders (18/158, 11.4%). Of the total, 72.7% (115/158) of the papers focused on six mental disorders: depression, anxiety, trauma and stressor-related, substance-related and addiction, schizophrenia spectrum, and other psychotic disorders, or a combination of disorders. More than half of known mental disorders were not or very scarcely (<3%) represented. An increasing number of studies were dedicated to assessing clinical effects, but RCTs were still a minority (25/158, 15.8%). From a technical viewpoint, interventions were leveraging the improved modalities (screen and sound) and interactivity of smartphones but only sparingly leveraged their truly novel capabilities, such as sensors, alternative delivery paradigms, and analytical methods. Conclusions There is a need for designing interventions for the full breadth of mental disorders, rather than primarily focusing on most prevalent disorders. We further contend that an increasingly systematic focus, that is, involving RCTs, is needed to improve the robustness and trustworthiness of assessments. Regarding technical aspects, we argue that further exploration and innovative use of the novel capabilities of smartphones are needed to fully realize their potential for the treatment of mental health disorders.
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Affiliation(s)
| | | | | | | | - Juana Bretón-López
- Universitat Jaume I, Castellón de la Plana, Spain.,CIBER of Physiopathology of Obesity and Nutrition CIBERobn, Castellón, Spain
| | - Adriana Mira
- Department of Personality, Evaluation and Psychological Treatment, University of Valencia, Valencia, Spain
| | - Diana Castilla
- CIBER of Physiopathology of Obesity and Nutrition CIBERobn, Castellón, Spain.,Department of Personality, Evaluation and Psychological Treatment, University of Valencia, Valencia, Spain
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Hickie IB, Scott EM, Cross SP, Iorfino F, Davenport TA, Guastella AJ, Naismith SL, Carpenter JS, Rohleder C, Crouse JJ, Hermens DF, Koethe D, Markus Leweke F, Tickell AM, Sawrikar V, Scott J. Right care, first time: a highly personalised and measurement-based care model to manage youth mental health. Med J Aust 2020; 211 Suppl 9:S3-S46. [PMID: 31679171 DOI: 10.5694/mja2.50383] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Mood and psychotic syndromes most often emerge during adolescence and young adulthood, a period characterised by major physical and social change. Consequently, the effects of adolescent-onset mood and psychotic syndromes can have long term consequences. A key clinical challenge for youth mental health is to develop and test new systems that align with current evidence for comorbid presentations and underlying neurobiology, and are useful for predicting outcomes and guiding decisions regarding the provision of appropriate and effective care. Our highly personalised and measurement-based care model includes three core concepts: ▶ A multidimensional assessment and outcomes framework that includes: social and occupational function; self-harm, suicidal thoughts and behaviour; alcohol or other substance misuse; physical health; and illness trajectory. ▶ Clinical stage. ▶ Three common illness subtypes (psychosis, anxious depression, bipolar spectrum) based on proposed pathophysiological mechanisms (neurodevelopmental, hyperarousal, circadian). The model explicitly aims to prevent progression to more complex and severe forms of illness and is better aligned to contemporary models of the patterns of emergence of psychopathology. Inherent within this highly personalised approach is the incorporation of other evidence-based processes, including real-time measurement-based care as well as utilisation of multidisciplinary teams of health professionals. Data-driven local system modelling and personalised health information technologies provide crucial infrastructure support to these processes for better access to, and higher quality, mental health care for young people. CHAPTER 1: MULTIDIMENSIONAL OUTCOMES IN YOUTH MENTAL HEALTH CARE: WHAT MATTERS AND WHY?: Mood and psychotic syndromes present one of the most serious public health challenges that we face in the 21st century. Factors including prevalence, age of onset, and chronicity contribute to substantial burden and secondary risks such as alcohol or other substance misuse. Mood and psychotic syndromes most often emerge during adolescence and young adulthood, a period characterised by major physical and social change; thus, effects can have long term consequences. We propose five key domains which make up a multidimensional outcomes framework that aims to address the specific needs of young people presenting to health services with emerging mental illness. These include social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness type, stage and trajectory. Impairment and concurrent morbidity are well established in young people by the time they present for mental health care. Despite this, services and health professionals tend to focus on only one aspect of the presentation - illness type, stage and trajectory - and are often at odds with the preferences of young people and their families. There is a need to address the disconnect between mental health, physical health and social services and interventions, to ensure that youth mental health care focuses on the outcomes that matter to young people. CHAPTER 2: COMBINING CLINICAL STAGE AND PATHOPHYSIOLOGICAL MECHANISMS TO UNDERSTAND ILLNESS TRAJECTORIES IN YOUNG PEOPLE WITH EMERGING MOOD AND PSYCHOTIC SYNDROMES: Traditional diagnostic classification systems for mental disorders map poorly onto the early stages of illness experienced by young people, and purport categorical distinctions that are not readily supported by research into genetic, environmental and neurobiological risk factors. Consequently, a key clinical challenge in youth mental health is to develop and test new classification systems that align with current evidence on comorbid presentations, are consistent with current understanding of underlying neurobiology, and provide utility for predicting outcomes and guiding decisions regarding the provision of appropriate and effective care. This chapter outlines a transdiagnostic framework for classifying common adolescent-onset mood and psychotic syndromes, combining two independent but complementary dimensions: clinical staging, and three proposed pathophysiological mechanisms. Clinical staging reflects the progression of mental disorders and is in line with the concept used in general medicine, where more advanced stages are associated with a poorer prognosis and a need for more intensive interventions with a higher risk-to-benefit ratio. The three proposed pathophysiological mechanisms are neurodevelopmental abnormalities, hyperarousal and circadian dysfunction, which, over time, have illness trajectories (or pathways) to psychosis, anxious depression and bipolar spectrum disorders, respectively. The transdiagnostic framework has been evaluated in young people presenting to youth mental health clinics of the University of Sydney's Brain and Mind Centre, alongside a range of clinical and objective measures. Our research to date provides support for this framework, and we are now exploring its application to the development of more personalised models of care. CHAPTER 3: A COMPREHENSIVE ASSESSMENT FRAMEWORK FOR YOUTH MENTAL HEALTH: GUIDING HIGHLY PERSONALISED AND MEASUREMENT-BASED CARE USING MULTIDIMENSIONAL AND OBJECTIVE MEASURES: There is an urgent need for improved care for young people with mental health problems, in particular those with subthreshold mental disorders that are not sufficiently severe to meet traditional diagnostic criteria. New comprehensive assessment frameworks are needed to capture the biopsychosocial profile of a young person to drive highly personalised and measurement-based mental health care. We present a range of multidimensional measures involving five key domains: social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness type, stage and trajectory. Objective measures include: neuropsychological function; sleep-wake behaviours and circadian rhythms; metabolic and immune markers; and brain structure and function. The recommended multidimensional measures facilitate the development of a comprehensive clinical picture. The objective measures help to further develop informative and novel insights into underlying pathophysiological mechanisms and illness trajectories to guide personalised care plans. A panel of specific multidimensional and objective measures are recommended as standard clinical practice, while others are recommended secondarily to provide deeper insights with the aim of revealing alternative clinical paths for targeted interventions and treatments matched to the clinical stage and proposed pathophysiological mechanisms of the young person. CHAPTER 4: PERSONALISING CARE OPTIONS IN YOUTH MENTAL HEALTH: USING MULTIDIMENSIONAL ASSESSMENT, CLINICAL STAGE, PATHOPHYSIOLOGICAL MECHANISMS, AND INDIVIDUAL ILLNESS TRAJECTORIES TO GUIDE TREATMENT SELECTION: New models of mental health care for young people require that interventions be matched to illness type, clinical stage, underlying pathophysiological mechanisms and individual illness trajectories. Narrow syndrome-focused classifications often direct clinical attention away from other key factors such as functional impairment, self-harm and suicidality, alcohol or other substance misuse, and poor physical health. By contrast, we outline a treatment selection guide for early intervention for adolescent-onset mood and psychotic syndromes (ie, active treatments and indicated and more specific secondary prevention strategies). This guide is based on experiences with the Brain and Mind Centre's highly personalised and measurement-based care model to manage youth mental health. The model incorporates three complementary core concepts: ▶A multidimensional assessment and outcomes framework including: social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness trajectory. ▶Clinical stage. ▶Three common illness subtypes (psychosis, anxious depression, bipolar spectrum) based on three underlying pathophysiological mechanisms (neurodevelopmental, hyperarousal, circadian). These core concepts are not mutually exclusive and together may facilitate improved outcomes through a clinical stage-appropriate and transdiagnostic framework that helps guide decisions regarding the provision of appropriate and effective care options. Given its emphasis on adolescent-onset mood and psychotic syndromes, the Brain and Mind Centre's model of care also respects a fundamental developmental perspective - categorising childhood problems (eg, anxiety and neurodevelopmental difficulties) as risk factors and respecting the fact that young people are in a period of major biological and social transition. Based on these factors, a range of social, psychological and pharmacological interventions are recommended, with an emphasis on balancing the personal benefit-to-cost ratio. CHAPTER 5: A SERVICE DELIVERY MODEL TO SUPPORT HIGHLY PERSONALISED AND MEASUREMENT-BASED CARE IN YOUTH MENTAL HEALTH: Over the past decade, we have seen a growing focus on creating mental health service delivery models that better meet the unique needs of young Australians. Recent policy directives from the Australian Government recommend the adoption of stepped-care services to improve the appropriateness of care, determined by severity of need. Here, we propose that a highly personalised approach enhances stepped-care models by incorporating clinical staging and a young person's current and multidimensional needs. It explicitly aims to prevent progression to more complex and severe forms of illness and is better aligned to contemporary models of the patterns of emergence of psychopathology. Inherent within a highly personalised approach is the incorporation of other evidence-based processes, including real-time measurement-based care and use of multidisciplinary teams of health professionals. Data-driven local system modelling and personalised health information technologies provide crucial infrastructure support to these processes for better access to, and higher quality of, mental health care for young people.
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Affiliation(s)
- Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | - Elizabeth M Scott
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,University of Notre Dame Australia, Sydney, NSW
| | - Shane P Cross
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | | | | | | | | | | | - Jacob J Crouse
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | - Daniel F Hermens
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,Sunshine Coast Mind and Neuroscience - Thompson Institute, University of the Sunshine Coast, Birtinya, QLD
| | - Dagmar Koethe
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | | | | | - Vilas Sawrikar
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,University of Edinburgh, Edinburgh, UK
| | - Jan Scott
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,Institute of Neuroscience, Newcastle University, Newcastle Upon Tyne, UK
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Smoking-Cessation Acceptance Via Mobile Health and Quick Response Code Technologies: Empirical Evidence of a Pilot Study from China and Pakistan. CURRENT PSYCHOLOGY 2019. [DOI: 10.1007/s12144-019-00479-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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15
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Kienen N, Wiltenburg TD, Bittencourt L, Scarinci IC. Development of a gender-relevant tobacco cessation intervention for women in Brazil-an intervention mapping approach to planning. HEALTH EDUCATION RESEARCH 2019; 34:505-520. [PMID: 31495883 PMCID: PMC7962721 DOI: 10.1093/her/cyz025] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 08/13/2019] [Indexed: 06/10/2023]
Abstract
The purpose of this article is to describe the development of a theory-based, culturally and gender-relevant Community Health Worker (CWH)-led tobacco cessation intervention for low-income Brazilian women who augments the tobacco cessation program offered through the public health system using Intervention Mapping (IM). We began with the establishment of a network of representatives from different segments of society followed by comprehensive needs assessments. We then established a logical planning process that was guided by a theoretical framework (Social Cognitive Theory) and existing evidence-based tobacco cessation programs, taking into account socio-political context of a universal health care system. Given the gender-relevance of our intervention and the importance of social support in tobacco cessation among women, we chose an intervention that would be delivered within the public health system but augmented by CHWs that would be trained in behavior change by researchers. One of major advantages of utilizing IM was that decisions were made in a transparent and supportive manner with involvement of all stakeholders throughout the process. Despite the fact that this process is very taxing on researchers and the health care system as it takes time, resources and negotiation skills, it builds trust and promotes ownership which can assure sustainability.
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Affiliation(s)
- Nádia Kienen
- Department of Psychology and Behavior Analysis, Universidade Estadual de Londrina, Rodovia Celso Garcia Cid, PR 445 Km 380, Londrina, PR, Brazil
| | - Thaís Distéfano Wiltenburg
- Department of Psychology and Behavior Analysis, Universidade Estadual de Londrina, Rodovia Celso Garcia Cid, PR 445 Km 380, Londrina, PR, Brazil
| | - Lorna Bittencourt
- Division of Preventive Medicine, University of Alabama at Birmingham, 1717 11th Avenue South, MT 609, Birmingham, AL, USA
| | - Isabel C Scarinci
- Division of Preventive Medicine, University of Alabama at Birmingham, 1717 11th Avenue South, MT 609, Birmingham, AL, USA
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16
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Klein P, Lawn S, Tsourtos G, van Agteren J. Tailoring of a Smartphone Smoking Cessation App (Kick.it) for Serious Mental Illness Populations: Qualitative Study. JMIR Hum Factors 2019; 6:e14023. [PMID: 31482850 PMCID: PMC6754228 DOI: 10.2196/14023] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 07/11/2019] [Accepted: 07/29/2019] [Indexed: 01/19/2023] Open
Abstract
Background Smoking rates of Australians with severe mental illness (SMI) are disproportionately higher than the general population. Despite the rapid growth in mobile health (mHealth) apps, limited evidence exists to inform their design for SMI populations. Objective This study aimed to explore the feasibility, acceptability, and utility of adapting a novel smoking cessation app (Kick.it) to assist smokers with SMI to prevent smoking relapse and quit. Methods Using co-design, two in-depth interviews with 12 adult smokers and ex-smokers with SMI were conducted in this qualitative study. Stage 1 interviews explored participants’ smoking-related experiences and perceptions of social support for smoking cessation, informed the development of the stage 2 interview schedule, and provided context for participants’ responses to the second interview. Stage 2 interviews explored participants’ perceptions of the feasibility, utility, and acceptability of the app features for SMI populations. Results People with SMI perceived mHealth interventions to support their quit smoking attempts as feasible, acceptable, and useful. Key emerging themes included personalization of the app to users’ psychosocial needs, a caring app to mediate self-esteem and self-efficacy, an app that normalizes smoking relapse and multiple quit attempts, a strong focus on user experience to improve usability, and a social network to enhance social support for smoking cessation. Conclusions This study gained an in-depth understanding of the lived experiences of smoking and quitting among people with SMI and their perception of the Kick.it app features to help inform the tailoring of the app. Specific program tailoring is required to assist them in navigating the complex interactions between mental illness and smoking in relation to their psychosocial well-being and capacity to quit. This study describes the adaptations required for the Kick.it app to meet the specific needs and preferences of people with SMI. Results of this study will guide the tailoring of the Kick.it app for SMI populations. The study findings can also inform a co-design process for the future development and design of smoking cessation apps for SMI populations.
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Affiliation(s)
- Pauline Klein
- Flinders Human Behaviour and Health Research Unit, Department of Psychiatry, Flinders University, Adelaide, Australia.,College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Sharon Lawn
- Flinders Human Behaviour and Health Research Unit, Department of Psychiatry, Flinders University, Adelaide, Australia
| | - George Tsourtos
- College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Joep van Agteren
- Wellbeing and Resilience Centre, South Australian Health and Medical Research Institute, Adelaide, Australia
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Cowdell F, Dyson J. How is the theoretical domains framework applied to developing health behaviour interventions? A systematic search and narrative synthesis. BMC Public Health 2019; 19:1180. [PMID: 31455327 PMCID: PMC6712870 DOI: 10.1186/s12889-019-7442-5] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Accepted: 08/05/2019] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Enabling behaviour change in health care is a complex process. Although the use of theory to inform behaviour change interventions is advocated, there is limited information about how this might best be achieved. There are multiple models of behaviour change, however, due to their complexity they can be inaccessible to both researchers and healthcare practitioners. To support health care practitioner behaviour change, this was addressed by the development of the Theoretical Domains Framework (TDF) in 2005. Citations of the TDF and associated papers have increased exponentially. Although not predicted or intended by the authors, the TDF has also been used to investigate health behaviour change interventions. Therefore our aim was to narratively synthesize empirical evidence on how the TDF and subsequent iterations have been applied in health behaviour change to inform future intervention development. METHODS Systematic search of four online databases, combined with searches for citations of key papers and key author searches, resulted in 3551 articles eligible for screening. Of these 10 met the pre-determined inclusion criteria. Screening of full-texts, data extraction and quality appraisal were independently performed by both authors. Disagreements regarding eligibility were resolved through discussion. RESULTS Of the 10 included studies three used the TDF and seven used subsequent iterations, the Capability, Opportunity, Motivation to Behaviour / Behaviour Change Wheel to assess and /or categorise behavioural determinants to identify relevant behaviour change techniques. Two studies reported feasibility testing. Most interventions were targeted at diet and exercise. Eight reported an explicit and systematic process in applying the framework. CONCLUSION There is limited evidence of how the framework has been used to support health behaviour change interventions. In the included studies the process of using the framework is not always reported in detail or with clarity. More recent studies use a systematic and judicious process of framework application. From the limited evidence available we tentatively suggest that the steps proposed in the BCW appear to be sufficient for development of interventions that target health behaviour change interventions. Further research is needed to provide evidence in how the framework may be most effectively applied to intervention development. PROTOCOL REGISTRATION PROSPERO CRD42018086896 .
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Affiliation(s)
- Fiona Cowdell
- Faculty of Health, Education and Life Sciences, Birmingham City University, Birmingham, UK
| | - Judith Dyson
- Faculty of Health Sciences, University of Hull, Hull, UK
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Vilardaga R, Casellas-Pujol E, McClernon JF, Garrison KA. Mobile Applications for the Treatment of Tobacco Use and Dependence. CURRENT ADDICTION REPORTS 2019; 6:86-97. [PMID: 32010548 PMCID: PMC6994183 DOI: 10.1007/s40429-019-00248-0] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE OF REVIEW Smoking remains a leading preventable cause of premature death in the world; thus, developing effective and scalable smoking cessation interventions is crucial. This review uses the Obesity-Related Behavioral Intervention Trials (ORBIT) model for early phase development of behavioral interventions to conceptually organize the state of research of mobile applications (apps) for smoking cessation, briefly highlight their technical and theory-based components, and describe available data on efficacy and effectiveness. RECENT FINDINGS Our review suggests that there is a need for more programmatic efforts in the development of mobile applications for smoking cessation, though it is promising that more studies are reporting early phase research such as user-centered design. We identified and described the app features used to implement smoking cessation interventions, and found that the majority of the apps studied used a limited number of mechanisms of intervention delivery, though more effort is needed to link specific app features with clinical outcomes. Similar to earlier reviews, we found that few apps have yet been tested in large well-controlled clinical trials, although progress is being made in reporting transparency with protocol papers and clinical trial registration. SUMMARY ORBIT is an effective model to summarize and guide research on smartphone apps for smoking cessation. Continued improvements in early phase research and app design should accelerate the progress of research in mobile apps for smoking cessation.
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Affiliation(s)
- Roger Vilardaga
- Department of Psychiatry and Behavioral Sciences, Duke School of Medicine, Erwin Terrace Building II, 2812 Erwin Rd, Box 13, Durham, NC 27705, USA
| | - Elisabet Casellas-Pujol
- Department of Psychiatry, Hospital Santa Creu I Sant Pau, Carrer de Sant Quinti, 89, 08041 Barcelona, Spain
| | - Joseph F. McClernon
- Department of Psychiatry and Behavioral Sciences, Duke School of Medicine, 2608 Erwin Road, Suite 300, Durham, NC 27705, USA
| | - Kathleen A. Garrison
- Department of Psychiatry, Yale School of Medicine, 1 Church Street, Suite 730, New Haven, CT 06510, USA
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Crane D, Ubhi HK, Brown J, West R. Relative effectiveness of a full versus reduced version of the 'Smoke Free' mobile application for smoking cessation: an exploratory randomised controlled trial. F1000Res 2018; 7:1524. [PMID: 30728950 PMCID: PMC6347038 DOI: 10.12688/f1000research.16148.2] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/08/2019] [Indexed: 01/08/2023] Open
Abstract
Background: Smartphone applications (apps) are popular aids for smoking cessation. Smoke Free is an app that delivers behaviour change techniques used in effective face-to-face behavioural support programmes. The aim of this study was to assess whether the full version of Smoke Free is more effective than the reduced version. Methods: This was a two-arm exploratory randomised controlled trial. Smokers who downloaded Smoke Free were randomly offered the full or reduced version; 28,112 smokers aged 18+ years who set a quit date were included. The full version provided updates on benefits of abstinence, progress (days smoke free), virtual 'badges' and daily 'missions' with push notifications aimed at preventing and managing cravings. The reduced version did not include the missions. At baseline the app recorded users': device type (iPhone or Android), age, sex, daily cigarette consumption, time to first cigarette of the day, and educational level. The primary outcome was self-reported complete abstinence from the quit date in a 3-month follow-up questionnaire delivered via the app. Analyses conducted included logistic regressions of outcome on to app version (full versus reduced) with adjustment for baseline variables using both intention-to-treat/missing-equals smoking (MES) and follow-up-only (FUO) analyses. Results: The 3-month follow-up rate was 8.5% (n=1,213) for the intervention and 6.5% (n=901) for the control. A total of 234 participants reported not smoking in the intervention versus 124 in the control, representing 1.6% versus 0.9% in the MES analysis and 19.3% versus 13.8% in the FUO analysis. Adjusted odds ratios were 1.90, 95%CI=1.53-2.37 (p<0.001) and 1.50, 95%CI=1.18-1.91 (p<0.001) in the MES and FUO analyses respectively. Conclusions: Despite very low follow-up rates using in-app follow up, both intention-to-treat/missing equals smoking and follow-up only analyses showed the full version of the Smoke Free app to result in higher self-reported 3-month continuous smoking abstinence rates than the reduced version.
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Affiliation(s)
- David Crane
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK
| | - Harveen Kaur Ubhi
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK
- National Centre for Smoking Cessation and Training, Dorchester, DT1 1RD, UK
| | - Jamie Brown
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK
| | - Robert West
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK
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Crane D, Ubhi HK, Brown J, West R. Relative effectiveness of a full versus reduced version of the 'Smoke Free' mobile application for smoking cessation: a randomised controlled trial. F1000Res 2018; 7:1524. [PMID: 30728950 PMCID: PMC6347038 DOI: 10.12688/f1000research.16148.1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/18/2018] [Indexed: 08/01/2023] Open
Abstract
Background: Smartphone applications (apps) are popular aids for smoking cessation. Smoke Free is an app that delivers behaviour change techniques used in effective face-to-face behavioural support programmes. The aim of this study was to assess whether the full version of Smoke Free is more effective than the reduced version. Methods: This was a two-arm randomised controlled trial. Smokers who downloaded Smoke Free were randomly offered the full or reduced version; 28,112 smokers aged 18+ years who set a quit date were included. The full version provided updates on benefits of abstinence, progress (days smoke free), virtual 'badges' and daily 'missions' with push notifications aimed at preventing and managing cravings. The reduced version did not include the missions. At baseline the app recorded users': device type (iPhone or Android), age, sex, daily cigarette consumption, time to first cigarette of the day, and educational level. The primary outcome was self-reported complete abstinence from the quit date in a 3-month follow-up questionnaire delivered via the app. Analyses conducted included logistic regressions of outcome on to app version (full versus reduced) with adjustment for baseline variables using both intention-to-treat/missing-equals smoking (MES) and follow-up-only (FUO) analyses. Results: The 3-month follow-up rate was 8.5% (n=1,213) for the intervention and 6.5% (n=901) for the control. A total of 234 participants reported not smoking in the intervention versus 124 in the control, representing 1.6% versus 0.9% in the MES analysis and 19.3% versus 13.8% in the FUO analysis. Adjusted odds ratios were 1.90, 95%CI=1.53-2.37 (p<0.001) and 1.50, 95%CI=1.18-1.91 (p<0.001) in the MES and FUO analyses respectively. Conclusions: Despite very low follow-up rates using in-app follow up, both intention-to-treat/missing equals smoking and follow-up only analyses showed the full version of the Smoke Free app to result in higher self-reported 3-month continuous smoking abstinence rates than the reduced version.
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Affiliation(s)
- David Crane
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK
| | - Harveen Kaur Ubhi
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK
- National Centre for Smoking Cessation and Training, Dorchester, DT1 1RD, UK
| | - Jamie Brown
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK
| | - Robert West
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK
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Adapting, Pilot Testing and Evaluating the Kick.it App to Support Smoking Cessation for Smokers with Severe Mental Illness: A Study Protocol. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15020254. [PMID: 30720772 PMCID: PMC5858323 DOI: 10.3390/ijerph15020254] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 01/27/2018] [Accepted: 01/30/2018] [Indexed: 12/28/2022]
Abstract
(1) Background: While the prevalence of tobacco smoking in the general population has declined, it remains exceptionally high for smokers with severe mental illness (SMI), despite significant public health measures. This project aims to adapt, pilot test and evaluate a novel e-health smoking cessation intervention to assist relapse prevention and encourage sustained smoking cessation for young adults (aged 18⁻29 years) with SMI. (2) Methods: Using co-design principles, the researchers will adapt the Kick.it smartphone App in collaboration with a small sample of current and ex-smokers with SMI. In-depth interviews with smokers with SMI who have attempted to quit in the past 12 months and ex-smokers (i.e., those having not smoked in the past seven days) will explore their perceptions of smoking cessation support options that have been of value to them. Focus group participants will then give their feedback on the existing Kick.it App and any adaptations needed. The adapted App will then be pilot-tested with a small sample of young adult smokers with SMI interested in attempting to cut down or quit smoking, measuring utility, feasibility, acceptability, and preliminary outcomes in supporting their quit efforts. (3) Conclusions: This pilot work will inform a larger definitive trial. Dependent on recruitment success, the project may extend to also include smokers with SMI who are aged 30 years or more.
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