Effectiveness and Implementation of a Text Messaging mHealth Intervention to Prevent Childhood Obesity in Mexico in the COVID-19 Context: Mixed Methods Study.

BACKGROUND: Promoting physical activity (PA) and healthy feeding (HF) is crucial to address the alarming increase in obesity rates in developing countries. Leveraging mobile phones for behavior change communication to encourage infant PA and promote HF is particularly significant within the Mexican context. OBJECTIVE: This study aims to explore the effectiveness and feasibility of mHealth interventions aimed at promoting PA and HF among primary caregivers (PCs) of Mexican children under the age of 5 years. Additionally, the study aims to disseminate insights gained from intervention implementation amidst the COVID-19 pandemic and assess the potential of behavior change mHealth interventions on a broader population scale. METHODS: NUTRES, an mHealth intervention, underwent an effectiveness-implementation hybrid trial. Over 36 weeks, participants in the intervention group (IG), totaling 230 individuals, received approximately 108 SMS text messages tailored to their children's age. These messages covered topics such as PA and HF and emphasized the significance of proper child nutrition amidst the COVID-19 pandemic. NUTRES participants were recruited from both urban and rural health units across 2 states in Mexico. Given the COVID-19 context, both baseline and follow-up surveys were conducted via mobile or fixed telephone. The evaluation of effectiveness and implementation used a mixed methods approach. Qualitative analysis delved into participants' experiences with NUTRES and various implementation indicators, including acceptance, relevance, and coverage. Grounded theory was used for coding and analysis. Furthermore, difference-in-differences regression models were used to discern disparities between groups (comparison group [CG] versus IG) concerning knowledge and practices pertaining to infant PA and HF. RESULTS: Of the total 494 PCs enrolled in NUTRES, 334 persisted until the end of the study, accounting for 67.6% (334/494) participation across both groups. A majority of PCs (43/141, 30.5%, always; and 97/141, 68.8%, sometimes) used the SMS text message information. Satisfaction and acceptability toward NUTRES were notably high, reaching 98% (96/98), with respondents expressing that NUTRES was "good," "useful," and "helpful" for enhancing child nutrition. Significant differences after the intervention were observed in PA knowledge, with social interaction favored (CG: 8/135, 5.9% vs IG: 20/137, 14.6%; P=.048), as well as in HF practice knowledge. Notably, sweetened beverage consumption, associated with the development of chronic diseases, showed divergence (CG: 92/157, 58.6% vs IG: 110/145, 75.9%; P=.003). In the difference-in-differences model, a notable increase of 0.03 in knowledge regarding the benefits of PA was observed (CG: mean 0.13, SD 0.10 vs IG: mean 0.16, SD 0.11; P=.02). PCs expressed feeling accompanied and supported, particularly amidst the disruption of routine health care services during the COVID-19 pandemic. CONCLUSIONS: While NUTRES exhibited a restricted impact on targeted knowledge and behaviors, the SMS text messages functioned effectively as both a reminder and a source of new knowledge for PCs of Mexican children under 5 years of age. The key lessons learned were as follows: mHealth intervention strategies can effectively maintain communication with individuals during emergencies, such as the COVID-19 pandemic; methodological and implementation barriers can constrain the effectiveness of mHealth interventions; and using mixed methods approaches ensures the complementary nature of results. The findings contribute valuable evidence regarding the opportunities and constraints associated with using mobile phones to enhance knowledge and practices concerning PA and HF among PCs of children under 5 years old. TRIAL REGISTRATION: ClinicalTrials.gov NCT04250896; https://clinicaltrials.gov/ct2/show/NCT04250896.

Advancing Translation of Clinical Research Into Practice and Population Health Impact Through Implementation Science.

Translational and implementation sciences aim to prioritize and guide efforts to create greater efficiency and speed of scientific innovation across the translational science continuum to improve patient and population health. Key principles and practices rooted in translational and implementation science may be incorporated into clinical trials research, particularly pragmatic trials, to improve the relevance and impact of scientific innovation. This thematic review intends to raise awareness on the value of translational and implementation science in clinical research and to encourage its use in designing and implementing clinical trials across the translational research continuum. Herein, we describe the gap in translating research findings into clinical practice, introduce translational and implementation science, and describe the principles and practices from implementation science that can be used in clinical trial research across the translational continuum to inform clinical practice, to improve population health impact, and to address health care inequities.

Building CapaCITY/É for sustainable transportation: protocol for an implementation science research program in healthy cities.

INTRODUCTION: Improving sustainable transportation options will help cities tackle growing challenges related to population health, congestion, climate change and inequity. Interventions supporting active transportation face many practical and political hurdles. Implementation science aims to understand how interventions or policies arise, how they can be translated to new contexts or scales and who benefits. Sustainable transportation interventions are complex, and existing implementation science frameworks may not be suitable. To apply and adapt implementation science for healthy cities, we have launched our mixed-methods research programme, CapaCITY/É. We aim to understand how, why and for whom sustainable transportation interventions are successful and when they are not. METHODS AND ANALYSIS: Across nine Canadian municipalities and the State of Victoria (Australia), our research will focus on two types of sustainable transportation interventions: all ages and abilities bicycle networks and motor vehicle speed management interventions. We will (1) document the implementation process and outcomes of both types of sustainable transportation interventions; (2) examine equity, health and mobility impacts of these interventions; (3) advance implementation science by developing a novel sustainable transportation implementation science framework and (4) develop tools for scaling up and scaling out sustainable transportation interventions. Training activities will develop interdisciplinary scholars and practitioners able to work at the nexus of academia and sustainable cities. ETHICS AND DISSEMINATION: This study received approval from the Simon Fraser University Office of Ethics Research (H22-03469). A Knowledge Mobilization Hub will coordinate dissemination of findings via a website; presentations to academic, community organisations and practitioner audiences; and through peer-reviewed articles.

Patient and healthcare professional perspectives on the Practical Guide to Implementing PROMs in Gender-Affirming Care (PG-PROM-GAC): analysis of open-ended responses from patients and healthcare professionals.

IMPORTANCE: Several international calls have been made for evidence-based patient-reported outcome measure (PROM) implementation for gender-affirming care. The Practical Guide to Implementing PROMs in Gender-Affirming Care (PG-PROM-GAC) is a resource which can help guide PROM implementation efforts, developed using a three-phase participatory research approach with transgender and gender-diverse (TGD) patients and gender-affirming healthcare professionals. However, thoughts and perspectives from TGD patients and gender-affirming healthcare professionals on the PG-PROM-GAC need to be investigated. OBJECTIVE: Investigate patient and healthcare professional perspectives on the PG-PROM-GAC through analysis of open-ended survey results. DESIGN: Qualitative study analysing open-ended responses from TGD patients and gender-affirming healthcare professionals. SETTING: Participants were recruited from a UK National Health System (NHS) gender clinic. PARTICIPANTS: Patients receiving care at an NHS gender clinic and healthcare professionals working at an NHS gender clinic were eligible for participation. Eligible participants were invited to participate in this study via email. INTERVENTION: Participants were sent an open-ended survey to collect responses on the PG-PROM-GAC. MAIN OUTCOMES AND MEASURES: Data were thematically analysed by two independent researchers and interpreted following guidance from established methods in implementation science. RESULTS: A total of 64 TGD patients and 9 gender-affirming healthcare professionals responded to the open-ended survey (mean (SD) age: 35 (16) and 48 (8), respectively). Four main themes emerged from the data: overall opinions and support for the PG-PROM-GAC, presentation of the PG-PROM-GAC, impact of gender clinic resources on PROM implementation and impact of PROM selection on implementation. Data were used to iterate the PG-PROM-GAC in response to participant feedback. CONCLUSIONS AND RELEVANCE: The PG-PROM-GAC is an acceptable and feasible resource that can be used by clinicians, researchers and policymakers to guide PROM implementation for gender-affirming care settings, helping to align gender-affirming care with patient needs.

Generative AI in healthcare: an implementation science informed translational path on application, integration and governance.

BACKGROUND: Artificial intelligence (AI), particularly generative AI, has emerged as a transformative tool in healthcare, with the potential to revolutionize clinical decision-making and improve health outcomes. Generative AI, capable of generating new data such as text and images, holds promise in enhancing patient care, revolutionizing disease diagnosis and expanding treatment options. However, the utility and impact of generative AI in healthcare remain poorly understood, with concerns around ethical and medico-legal implications, integration into healthcare service delivery and workforce utilisation. Also, there is not a clear pathway to implement and integrate generative AI in healthcare delivery. METHODS: This article aims to provide a comprehensive overview of the use of generative AI in healthcare, focusing on the utility of the technology in healthcare and its translational application highlighting the need for careful planning, execution and management of expectations in adopting generative AI in clinical medicine. Key considerations include factors such as data privacy, security and the irreplaceable role of clinicians' expertise. Frameworks like the technology acceptance model (TAM) and the Non-Adoption, Abandonment, Scale-up, Spread and Sustainability (NASSS) model are considered to promote responsible integration. These frameworks allow anticipating and proactively addressing barriers to adoption, facilitating stakeholder participation and responsibly transitioning care systems to harness generative AI's potential. RESULTS: Generative AI has the potential to transform healthcare through automated systems, enhanced clinical decision-making and democratization of expertise with diagnostic support tools providing timely, personalized suggestions. Generative AI applications across billing, diagnosis, treatment and research can also make healthcare delivery more efficient, equitable and effective. However, integration of generative AI necessitates meticulous change management and risk mitigation strategies. Technological capabilities alone cannot shift complex care ecosystems overnight; rather, structured adoption programs grounded in implementation science are imperative. CONCLUSIONS: It is strongly argued in this article that generative AI can usher in tremendous healthcare progress, if introduced responsibly. Strategic adoption based on implementation science, incremental deployment and balanced messaging around opportunities versus limitations helps promote safe, ethical generative AI integration. Extensive real-world piloting and iteration aligned to clinical priorities should drive development. With conscientious governance centred on human wellbeing over technological novelty, generative AI can enhance accessibility, affordability and quality of care. As these models continue advancing rapidly, ongoing reassessment and transparent communication around their strengths and weaknesses remain vital to restoring trust, realizing positive potential and, most importantly, improving patient outcomes.

Positioning implementation science in national immunization programmes to improve coverage equity and advance progress toward Immunization Agenda 2030: An urgent global health imperative.

Despite the availability of effective vaccines for preventing common childhood infectious diseases, there is still significant disparities in access and utilization across many low- and middle-income countries (LMIC). The factors that drive these disparities are often multilevel, originating from individuals, health facilities, health systems and communities, and also multifaceted. Implementation science has emerged as a field to help address "know-do" gaps in health systems, and can play a significant role in strengthening immunization systems to understand and solve implementation barriers that limit access and uptake within their contexts. This article presents a reflexive perspective on how to position implementation research in immunization programmes to improve coverage equity. Furthermore, key points of synergy between implementation research and vaccination are highlighted, and some potential practice changes that can be applied within specific contexts were proposed. Using a human rights lens, it was concluded that the cost that is associated with implementation failure in immunization programmes is significant and unjust, and future directions for implementation research to optimize its application in practice settings have been recommended.

Improving acute myocardial infarction care in northern Tanzania: barrier identification and implementation strategy mapping.

BACKGROUND: Evidence-based care for acute myocardial infarction (AMI) reduces morbidity and mortality. Prior studies in Tanzania identified substantial gaps in the uptake of evidence-based AMI care. Implementation science has been used to improve uptake of evidence-based AMI care in high-income settings, but interventions to improve quality of AMI care have not been studied in sub-Saharan Africa. METHODS: Purposive sampling was used to recruit participants from key stakeholder groups (patients, providers, and healthcare administrators) in northern Tanzania. Semi-structured in-depth interviews were conducted using a guide informed by the Consolidated Framework for Implementation Research (CFIR). Interview transcripts were coded to identify barriers to AMI care, using the 39 CFIR constructs. Barriers relevant to emergency department (ED) AMI care were retained, and the Expert Recommendations for Implementing Change (ERIC) tool was used to match barriers with Level 1 recommendations for targeted implementation strategies. RESULTS: Thirty key stakeholders, including 10 patients, 10 providers, and 10 healthcare administrators were enrolled. Thematic analysis identified 11 barriers to ED-based AMI care: complexity of AMI care, cost of high-quality AMI care, local hospital culture, insufficient diagnostic and therapeutic resources, inadequate provider training, limited patient knowledge of AMI, need for formal implementation leaders, need for dedicated champions, failure to provide high-quality care, poor provider-patient communication, and inefficient ED systems. Seven of these barriers had 5 strong ERIC recommendations: access new funding, identify and prepare champions, conduct educational meetings, develop educational materials, and distribute educational materials. CONCLUSIONS: Multiple barriers across several domains limit the uptake of evidence-based AMI care in northern Tanzania. The CFIR-ERIC mapping approach identified several targeted implementation strategies for addressing these barriers. A multi-component intervention is planned to improve uptake of evidence-based AMI care in Tanzania.

Navigating the field of implementation science towards maturity: challenges and opportunities.

BACKGROUND: The field of implementation science has significantly expanded in size and scope over the past two decades, although work related to understanding implementation processes have of course long preceded the more systematic efforts to improve integration of evidence-based interventions into practice settings. While this growth has had significant benefits to research, practice, and policy, there are some clear challenges that this period of adolescence has uncovered. MAIN BODY: This invited commentary reflects on the development of implementation science, its rapid growth, and milestones in its establishment as a viable component of the biomedical research enterprise. The authors reflect on progress in research and training, and then unpack some of the consequences of rapid growth, as the field has grappled with the competing challenges of legitimacy among the research community set against the necessary integration and engagement with practice and policy partners. The article then enumerates a set of principles for the field's next developmental stage and espouses the aspirational goal of a "big tent" to support the next generation of impactful science. CONCLUSION: For implementation science to expand its relevance and impact to practice and policy, researchers must not lose sight of the original purpose of the field-to support improvements in health and health care at scale, the importance of building a community of research and practice among key partners, and the balance of rigor, relevance, and societal benefit.

Codesign of Lynch ChoicesTM : Using implementation science to create a clinically deliverable patient decision support website to transform cancer genetics care pathways.

BACKGROUND: Resources including Patient Decision Aids (PtDA) are useful and valued by patients and clinicians to provide information and complement shared decision-making. Despite their promise, few PtDA exist for patients with genetic cancer susceptibility facing difficult decisions about risk management. We aimed to fill this gap, partnering with patients to codesign Lynch ChoicesTM , a PtDA website for families with Lynch Syndrome. In addition to a Patient Reference Panel, we purposively invited an international stakeholder panel including charities, public bodies, clinical and academic experts. Implementation strategies and frameworks were employed to optimise translation of research findings to improve care. METHODS: Patient/stakeholder suggestions were incorporated in a transparent Table of Changes and prioritised using the Person-Based Approach throughout planning and codesign of Lynch ChoicesTM . An interactive stakeholder meeting was convened to identify barriers and facilitators to clinical implementation of the PtDA. RESULTS: Patient and stakeholder partnerships drove the direction of the research throughout codesign, resulting in several iterative refinements to the PtDA prior to roll out including the addition of illustrations/videos, clearer presentation of cancer risks and increased accessibility for lower literacy. Barriers and facilitators identified from stakeholders were used to create an implementation process map. CONCLUSIONS: Creating an effective, engaging PtDA is not enough. Systematic uptake in real world clinical practice, with its resource limitations, is needed to optimise benefit to patients and clinicians. Assessment of speed and breadth of dissemination and usage will be collected to further evidence the benefit of embedding implementation science methods from the outset to translate research findings into clinical practice.

Aligning organisational priorities and implementation science for cancer research.

BACKGROUND: The challenge of implementing evidence into routine clinical practice is well recognised and implementation science offers theories, models and frameworks to promote investigation into delivery of evidence-based care. Embedding implementation researchers into health systems is a novel approach to ensuring research is situated in day-to-day practice dilemmas. To optimise the value of embedded implementation researchers and resources, the aim of this study was to investigate stakeholders' views on opportunities for implementation science research in a cancer setting that holds potential to impact on care. The research objectives were to: 1) Establish stakeholder and theory informed organisation-level implementation science priorities and 2) Identify and prioritise a test case pilot implementation research project. METHODS: We undertook a qualitative study using semi-structured interviews. Participants held either a formal leadership role, were research active or a consumer advocate and affiliated with either a specialist cancer hospital or a cancer alliance of ten hospitals. Interview data were summarised and shared with participants prior to undertaking both thematic analysis, to identify priority areas for implementation research, and content analysis, to identify potential pilot implementation research projects. The selected pilot Implementation research project was prioritised using a synthesis of an organisational and implementation prioritisation framework - the organisational priority setting framework and APEASE framework. RESULTS: Thirty-one people participated between August 2022 and February 2023. Four themes were identified: 1) Integration of services to address organisational priorities e.g., tackling fragmented services; 2) Application of digital health interventions e.g., identifying the potential benefits of digital health interventions; 3) Identification of potential for implementation research, including deimplementation i.e., discontinuing ineffective or low value care and; 4) Focusing on direct patient engagement e.g., wider consumer awareness of the challenges in delivering cancer care. Six potential pilot implementation research projects were identified and the EMBED project, to support clinicians to refer appropriate patients with cancer for genetic testing, was selected using the synthesised prioritisation framework. CONCLUSIONS: Using a theory informed and structured approach the alignment between strategic organisational priorities and implementation research priorities can be identified. As a result, the implementation research focus can be placed on activities with the highest potential impact.

Contextualizing medications for opioid use disorder and peer support service provision in the probation system with implementation science.

BACKGROUND: Medications for opioid use disorder (MOUD) is an evidence-based approach that reduces opioid-related mortality, particularly among criminal legal-involved persons who are at increased risk of adverse outcomes related to OUD. Implementing evidence-based approaches in the context of probation settings requires an in-depth understanding of specific contexts to improve intervention efficacy and effectiveness. Here, we use the Exploration, Preparation, Implementation, and Sustainment (EPIS) framework to understand implementation contexts for MOUD provision in the probation setting. METHODS: In-depth individual interviews were conducted with key programmatic stakeholders (treatment providers and probation staff involved in service provision for people on probation). The study examined stakeholder perspectives regarding MOUD and Peer Support Service (PSS) implementation among people who are involved in community supervision. Deductive and inductive thematic analysis was conducted, and subsequently the codes, subcodes, and themes were mapped onto the EPIS framework to better understand implementation contexts. RESULTS: We deduced key inner, outer, and bridging contexts that shape treatment service provision for individuals with OUD who are on probation. Inner contexts include a strong organizational climate that supports MOUD implementation and enthusiasm for peer support services. Outer contexts include difficulty navigating insurance among providers, treatment costs, and systemic stigma towards MOUD. Bridging contexts include a lack of collaboration/communication between relevant agencies (e.g., probation and courts). CONCLUSIONS: Findings indicate the implementation is complex and requires a coordinated effort between correctional systems, probation agencies, and community-based treatment providers.

Mending the gap: Measurement needs to address policy implementation through a health equity lens.

Policies represent a key opportunity to improve the health outcomes of populations, and if implemented well, can reduce disparities affecting marginalized populations. Many policies are only evaluated on whether they elicit their intended health outcome. However, a lack of understanding regarding if and how they are implemented may hinder the intended impact overall and on addressing health disparities. Implementation science offers an array of frameworks and methodological approaches for assessing policy delivery, yet few examples exist that meaningfully include health equity as a core focus. This commentary describes the importance of equity-informed implementation measurement by providing case examples and implications for assessment. In addition, we highlight examples of emerging work in policy implementation grounded in health equity with suggested steps for moving the field forward. The ultimate goal is to move toward open-access measurement approaches that can be adapted to study implementation of a variety of policies at different stages of implementation, driven by input from marginalized populations and implementation practitioners, to move the needle on addressing health disparities.

This article talks about the need to include health equity as a major focus when understanding if and how policies are being implemented. We talk about gaps in the implementation science field and how equity-informed measurement tools can help to bridge this gap. Finally, we give some examples of efforts in place and where others can add to the growing resources to improve policy delivery.

Implicit and explicit: a scoping review exploring the contribution of anthropological practice in implementation science.

BACKGROUND: This study's goal is to identify the existing variation in how, why, and by whom anthropological practice is conducted as part of implementation science projects. As doctorally trained anthropologists, we sought to characterize how and why the term "ethnography" was variously applied in the implementation science literature and characterize the practice of anthropology within and across the field. METHODS: While we follow the PRISMA-ScR checklist, we present the work with a narrative approach to accurately reflect our review process. A health services librarian developed a search strategy using subject headings and keywords for the following databases: PubMed, Embase (Elsevier), Cochrane CENTRAL (Wiley), CIHAHL (EBSCO), PsycINFO (EBSCO), Web of Science Core Collection, and Anthropology Plus (EBSCO). We focused on the practice of anthropology in implementation research conducted in a healthcare setting, in English, with no date restrictions. Studies were included if they applied one or several elements of anthropological methods in terms of study design, data collection, and/or analysis. RESULTS: The database searches produced 3450 results combined after duplicates were removed, which were added to Rayyan for two rounds of screening by title and abstract. A total of 487 articles were included in the full-text screening. Of these, 227 were included and received data extraction that we recorded and analyzed with descriptive statistics in three main domains: (1) anthropological methods; (2) implementation science methods; and (3) study context. We found the use of characteristic tools of anthropology like ethnography and field notes are usually not systematically described but often mentioned. Further, we found that research design decisions and compromises (e.g., length of time in the field, logistics of stakeholder involvement, reconciling diverse firsthand experiences) that often impact anthropological approaches are not systematically described. CONCLUSIONS: Anthropological work often supports larger, mixed-methods implementation projects without being thoroughly reported. Context is essential to anthropological practice and implicitly fundamental to implementation research, yet the goals of anthropology and how its practice informs larger research projects are often not explicitly stated.