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BACKGROUND: Promoting the uptake of vaccination for infectious diseases such as COVID-19 remains a global challenge, necessitating collaborative efforts between public health units (PHUs) and communities. Applied behavioural science can play a crucial role in supporting PHUs' response by providing insights into human behaviour and informing tailored strategies to enhance vaccination uptake. Community engagement can help broaden the reach of behavioural science research by involving a more diverse range of populations and ensuring that strategies better represent the needs of specific communities. We developed and applied an approach to conducting community-based behavioural science research with ethnically and socioeconomically diverse populations to guide PHUs in tailoring their strategies to promote COVID-19 vaccination. This paper presents the community engagement methodology and the lessons learned in applying the methodology. METHODS: The community engagement methodology was developed based on integrated knowledge translation (iKT) and community-based participatory research (CBPR) principles. The study involved collaboration with PHUs and local communities in Ontario, Canada to identify priority groups for COVID-19 vaccination, understand factors influencing vaccine uptake and co-design strategies tailored to each community to promote vaccination. Community engagement was conducted across three large urban regions with individuals from Eastern European communities, African, Black, and Caribbean communities and low socioeconomic neighbourhoods. RESULTS: We developed and applied a seven-step methodology for conducting community-based behavioural science research: (1) aligning goals with system-level partners; (2) engaging with PHUs to understand priorities; (3) understanding community strengths and dynamics; (4) building relationships with each community; (5) establishing partnerships (community advisory groups); (6) involving community members in the research process; and (7) feeding back and interpreting research findings. Research partnerships were successfully established with members of prioritized communities, enabling recruitment of participants for theory-informed behavioural science interviews, interpretation of findings, and co-design of targeted recommendations for each PHU to improve COVID-19 vaccination uptake. Lessons learned include the importance of cultural sensitivity and awareness of sociopolitical context in tailoring community engagement, being agile to address the diverse and evolving priorities of PHUs, and building trust to achieve effective community engagement. CONCLUSION: Effective community engagement in behavioural science research can lead to more inclusive and representative research. The community engagement approach developed and applied in this study acknowledges the diversity of communities, recognizes the central role of PHUs, and can help in addressing complex public health challenges.
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COVID-19 , Saúde Pública , Humanos , Vacinas contra COVID-19 , Prioridades em Saúde , COVID-19/epidemiologia , COVID-19/prevenção & controle , Vacinação , OntárioRESUMO
BACKGROUND: Health behaviors such as physical inactivity, unhealthy eating, smoking tobacco, and alcohol use are each leading risk factors for non-communicable chronic disease. Better understanding which behaviors tend to co-occur (i.e., cluster together) and co-vary (i.e., are correlated) may provide novel opportunities to develop more comprehensive interventions to promote multiple health behavior change. However, whether co-occurrence or co-variation-based approaches are better suited for this task remains relatively unknown. PURPOSE: To compare the utility of co-occurrence vs. co-variation-based approaches for understanding the interconnectedness between multiple health-impacting behaviors. METHODS: Using baseline and follow-up data (N = 40,268) from the Canadian Longitudinal Study of Aging, we examined the co-occurrence and co-variation of health behaviors. We used cluster analysis to group individuals based on their behavioral tendencies across multiple behaviors and to examine how these clusters are associated with demographic characteristics and health indicators. We compared outputs from cluster analysis to behavioral correlations and compared regression analyses of clusters and individual behaviors predicting future health outcomes. RESULTS: Seven clusters were identified, with clusters differentiated by six of the seven health behaviors included in the analysis. Sociodemographic characteristics varied across several clusters. Correlations between behaviors were generally small. In regression analyses individual behaviors accounted for more variance in health outcomes than clusters. CONCLUSIONS: Co-occurrence-based approaches may be more suitable for identifying sub-groups for intervention targeting while co-variation approaches are more suitable for building an understanding of the relationships between health behaviors.
Health behaviors such as physical inactivity, unhealthy eating, smoking tobacco, and alcohol use are each leading risk factors for non-communicable chronic disease. A better understanding of which behavioral combinations people engage in, and which behaviors are associated with each other, may provide new insights to support the development of interventions to promote multiple health behavior change. Using data with two time points (N = 40,268) from the Canadian Longitudinal Study of Aging, we grouped people into clusters based on their health behaviors and examined how these clusters are associated with demographic characteristics and health indicators. Seven clusters were identified with sociodemographic patterns evident across several clusters. Correlations between behaviors were generally small. We compared whether individual health behaviors, or groupings of people based on their health behaviors, were better predictors of future health outcomes. Individual behaviors were slightly better predictors of future health outcomes than clusters.
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Envelhecimento , Comportamentos Relacionados com a Saúde , Humanos , Estudos Longitudinais , Canadá/epidemiologia , Análise por ConglomeradosRESUMO
BACKGROUND: Diabetic retinopathy is a sight-threatening ocular complication of diabetes. Screening is an effective way to reduce severe complications, but screening attendance rates are often low, particularly for newcomers and immigrants to Canada and people from cultural and linguistic minority groups. Building on previous work, in partnership with patient and health system stakeholders, we co-developed a linguistically and culturally tailored tele-retinopathy screening intervention for people living with diabetes who recently immigrated to Canada from either China or African-Caribbean countries. METHODS: Following an environmental scan of diabetes eye care pathways in Ottawa, we conducted co-development workshops using a nominal group technique to create and prioritize personas of individuals requiring screening and identify barriers to screening that each persona may face. Next, we used the Theoretical Domains Framework to categorize the barriers/enablers and then mapped these categories to potential evidence-informed behaviour change techniques. Finally with these techniques in mind, participants prioritized strategies and channels of delivery, developed intervention content, and clarified actions required by different actors to overcome anticipated intervention delivery barriers. RESULTS: We carried out iterative co-development workshops with Mandarin and French-speaking individuals living with diabetes (i.e., patients in the community) who immigrated to Canada from China and African-Caribbean countries (n = 13), patient partners (n = 7), and health system partners (n = 6) recruited from community health centres in Ottawa. Patients in the community co-development workshops were conducted in Mandarin or French. Together, we prioritized five barriers to attending diabetic retinopathy screening: language (TDF Domains: skills, social influences), retinopathy familiarity (knowledge, beliefs about consequences), physician barriers regarding communication for screening (social influences), lack of publicity about screening (knowledge, environmental context and resources), and fitting screening around other activities (environmental context and resources). The resulting intervention included the following behaviour change techniques to address prioritized local barriers: information about health consequence, providing instructions on how to attend screening, prompts/cues, adding objects to the environment, social support, and restructuring the social environment. Operationalized delivery channels incorporated language support, pre-booking screening and sending reminders, social support via social media and community champions, and providing using flyers and videos as delivery channels. CONCLUSION: Working with intervention users and stakeholders, we co-developed a culturally and linguistically relevant tele-retinopathy intervention to address barriers to attending diabetic retinopathy screening and increase uptake among two under-served groups.
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Diabetes Mellitus , Retinopatia Diabética , Emigrantes e Imigrantes , Humanos , Retinopatia Diabética/diagnóstico , Canadá , Linguística , Região do CaribeRESUMO
Investigating the mechanisms of behavior change interventions provides a more fulsome understanding of how and why interventions work (or don't work). We assessed mechanisms of two interventions (mailouts alone, and mailouts plus telephone support, informed by the Health Action Process Approach (HAPA) and Habit Theory), designed to increase medication adherence after myocardial infarction. We conducted a process evaluation alongside a pragmatic trial. Medication adherence was assessed via self-report at 12-months in the trial, and participants in all trial groups were invited to contemporaneously complete an additional questionnaire assessing targeted mechanisms (HAPA constructs and automaticity). We used multiple regression-based mediation models to investigate indirect effects. Of 589 respondents, 497 were analyzed (92 excluded due to missing data). Mailouts plus telephone support had statistically significant but small effects on intention, social support, action planning, coping planning, and automaticity. There were no indirect effects of interventions on medication adherence via these constructs. Therefore, while this intervention led to changes in proposed mechanisms, these changes were not great enough to lead to behavior change. Refinements (and subsequent evaluation) of the interventions are warranted, and our findings indicate that this could involve offering more intensive support to form plans and identify cues for taking medications, in addition to providing physical supports to encourage self-monitoring, feedback, and habit formation. Trial registration: ClinicalTrials.gov: NCT02382731.
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Adesão à Medicação , Telefone , Hábitos , Humanos , Autorrelato , Apoio SocialRESUMO
AIM: To identify barriers to/enablers of attendance at eye screening among three groups of immigrantsto Canada from cultural/linguistic minority groups living with diabetes. METHODS: Using a patient-oriented research approach leveraging Diabetes Action Canada's patient engagement platform, we interviewed a purposeful sample of people with type 2 diabetes who had immigrated to Canada from: Pakistan (interviews in Urdu), China (interviews in Mandarin) and French-speaking African and Caribbean nations (interviews in French). We collected and analysed data based on the Theoretical Domains Framework covering key modifiable factors that may operate as barriers to or enablers of attending eye screening. We used directed content analysis to code barrier/enabler domains. Barriers/enablers were mapped to behaviour change techniques to inform future intervention development. RESULTS: We interviewed 39 people (13 per group). Many barriers/enablers were consistent across groups, including views about harms caused by screening itself, practical appointment issues including forgetting, screening costs, wait times and making/getting to an appointment, lack of awareness about retinopathy screening, language barriers, and family and clinical support. Group-specific barriers/enablers included a preference to return to one's country of birth for screening, the impact of winter, and preferences for alternative medicine. CONCLUSION: Our results can inform linguistic and culturally competent interventions to support immigrants living with diabetes in attending eye screening to prevent avoidable blindness.
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Retinopatia Diabética/diagnóstico , Emigrantes e Imigrantes , Programas de Rastreamento , Grupos Minoritários , Participação do Paciente , Adulto , Idoso , Canadá/epidemiologia , Barreiras de Comunicação , Cultura , Diabetes Mellitus Tipo 2/complicações , Diabetes Mellitus Tipo 2/diagnóstico , Diabetes Mellitus Tipo 2/etnologia , Retinopatia Diabética/etnologia , Emigrantes e Imigrantes/psicologia , Emigrantes e Imigrantes/estatística & dados numéricos , Feminino , Humanos , Entrevistas como Assunto , Idioma , Masculino , Programas de Rastreamento/psicologia , Programas de Rastreamento/estatística & dados numéricos , Pessoa de Meia-Idade , Grupos Minoritários/psicologia , Grupos Minoritários/estatística & dados numéricos , Cooperação do Paciente/estatística & dados numéricos , Participação do Paciente/psicologia , Participação do Paciente/estatística & dados numéricos , Fatores SocioeconômicosRESUMO
BACKGROUND: Antibiotics are over-prescribed for upper respiratory tract infection (URTI). It is unclear how factors known to influence prescribing decisions operate 'in the moment': dual process theories, which propose two systems of thought ('automatic' and 'analytical'), may inform this. OBJECTIVE(S): Investigate cognitive processes underlying antibiotic prescribing for URTI and the factors associated with inappropriate prescribing. METHODS: We conducted a mixed methods study. Primary care physicians in Scotland (n = 158) made prescribing decisions for patient scenarios describing sore throat or otitis media delivered online. Decision difficulty and decision time were recorded. Decisions were categorized as appropriate or inappropriate based on clinical guidelines. Regression analyses explored relationships between scenario and physician characteristics and decision difficulty, time and appropriateness. A subgroup (n = 5) verbalized their thoughts (think aloud) whilst making decisions for a subset of scenarios. Interviews were analysed inductively. RESULTS: Illness duration of 4+ days was associated with greater difficulty. Inappropriate prescribing was associated with clinical factors suggesting viral cause and with patient preference against antibiotics. In interviews, physicians made appropriate decisions quickly for easier cases, with little deliberation, reflecting automatic-type processes. For more difficult cases, physicians deliberated over information in some instances, but not in others, with inappropriate prescribing occurring in both instances. Some interpretations of illness duration and unilateral ear examination findings (for otitis media) were associated with inappropriate prescribing. CONCLUSION: Both automatic and analytical processes may lead to inappropriate prescribing. Interventions to support appropriate prescribing may benefit from targeting interpretation of illness duration and otitis media ear exam findings and facilitating appropriate use of both modes of thinking.
Antibiotics are often used to treat the common cold and ear/nose/throat infections but typically do not work for these issues. We explored the reasons why this prescribing may happen and some of the difficulties doctors might experience when making these treatment decisions. Doctors reviewed written descriptions of patients and decided whether or not to prescribe antibiotics. Some of these doctors also took part in an interview where they 'thought aloud' (said what they were thinking as they were thinking it) while considering the patient descriptions. When the patient had been ill for four or more days, this made decisions more difficult. Sometimes decisions to prescribe due to this illness duration and due to findings from an ear exam were not in line with guidelines for prescribing. Some decisions to prescribe seemed to be more related to automatic habits, while others occurred after careful deliberation over the information. Doctors need more support to make decisions involving these factors and may benefit from strategies to help them use their automatic/habitual thinking and their deliberative thinking in the best ways.
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Otite Média , Infecções Respiratórias , Antibacterianos/uso terapêutico , Cognição , Humanos , Prescrição Inadequada , Otite Média/tratamento farmacológico , Padrões de Prática Médica , Infecções Respiratórias/tratamento farmacológicoRESUMO
PURPOSE: Healthy eating, physical activity and smoking interventions for low-income groups may have small, positive effects. Identifying effective intervention components could guide intervention development. This study investigated which content and delivery components of interventions were associated with increased healthy behavior in randomised controlled trials (RCTs) for low-income adults. METHOD: Data from a review showing intervention effects in 35 RCTs containing 45 interventions with 17,000 participants were analysed to assess associations with behavior change techniques (BCTs) and delivery/context components from the template for intervention description and replication (TIDieR) checklist. The associations of 46 BCTs and 14 delivery/context components with behavior change (measures of healthy eating, physical activity and smoking cessation) were examined using random effects subgroup meta-analyses. Synergistic effects of components were examined using classification and regression trees (meta-CART) analyses based on both fixed and random effects assumptions. RESULTS: For healthy eating, self-monitoring, delivery through personal contact, and targeting multiple behaviors were associated with increased effectiveness. Providing feedback, information about emotional consequences, or using prompts and cues were associated with reduced effectiveness. In synergistic analyses, interventions were most effective without feedback, or with self-monitoring excluding feedback. More effective physical activity interventions included behavioral practice/rehearsal or instruction, focussed solely on physical activity or took place in home/community settings. Information about antecedents was associated with reduced effectiveness. In synergistic analyses, interventions were most effective in home/community settings with instruction. No associations were identified for smoking. CONCLUSION: This study identified BCTs and delivery/context components, individually and synergistically, linked to increased and reduced effectiveness of healthy eating and physical activity interventions. The identified components should be subject to further experimental study to help inform the development effective behavior change interventions for low-income groups to reduce health inequalities.
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Terapia Comportamental/métodos , Promoção da Saúde/métodos , Pobreza , Avaliação de Programas e Projetos de Saúde , Adulto , Dieta Saudável/métodos , Exercício Físico/psicologia , Feminino , Comportamentos Relacionados com a Saúde , Humanos , Masculino , Pobreza/psicologia , Ensaios Clínicos Controlados Aleatórios como Assunto , Fumar/psicologia , Fumar/terapia , Abandono do Hábito de Fumar/métodos , Abandono do Hábito de Fumar/psicologiaRESUMO
BACKGROUND: Health-care quality in primary care depends largely on the appropriateness of General Practitioners' (GPs; Primary Care or Family Physicians) decisions, which may be influenced by how difficult they perceive decisions to be. Patient scenarios (clinical or case vignettes) are widely used to investigate GPs' decision making. This review aimed to identify the extent to which perceived decision difficulty, decision appropriateness, and their relationship have been assessed in scenario studies of GPs' decision making; identify possible determinants of difficulty and appropriateness; and investigate the relationship between difficulty and appropriateness. METHODS: MEDLINE, EMBASE, PsycINFO, the Cochrane Library and Web of Science were searched for scenario studies of GPs' decision making. One author completed article screening. Ten percent of titles and abstracts were checked by an independent volunteer, resulting in 91% agreement. Data on decision difficulty and appropriateness were extracted by one author and descriptively synthesised. Chi-squared tests were used to explore associations between decision appropriateness, decision type and decision appropriateness assessment method. RESULTS: Of 152 included studies, 66 assessed decision appropriateness and five assessed perceived difficulty. While no studies assessed the relationship between perceived difficulty and appropriateness, one study objectively varied the difficulty of the scenarios and assessed the relationship between a measure of objective difficulty and appropriateness. Across 38 studies where calculations were possible, 62% of the decisions were appropriate as defined by the appropriateness standard used. Chi-squared tests identified statistically significant associations between decision appropriateness, decision type and decision appropriateness assessment method. Findings suggested a negative relationship between decision difficulty and appropriateness, while interventions may have the potential to reduce perceived difficulty. CONCLUSIONS: Scenario-based research into GPs' decisions rarely considers the relationship between perceived decision difficulty and decision appropriateness. The links between these decisional components require further investigation.
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Tomada de Decisões , Clínicos Gerais , Técnicas de Apoio para a Decisão , Humanos , Participação do Paciente , Qualidade da Assistência à SaúdeAssuntos
Antiulcerosos/efeitos adversos , Asma/etiologia , Hipersensibilidade/etiologia , Exposição Materna/efeitos adversos , Efeitos Tardios da Exposição Pré-Natal , Criança , Feminino , Humanos , Avaliação de Resultados em Cuidados de Saúde , Gravidez , Viés de Publicação , Medição de Risco , Fatores de RiscoRESUMO
Healthcare professional (HCP) behaviours are actions performed by individuals and teams for varying and often complex patient needs. However, gaps exist between evidence-informed care behaviours and the care provided. Implementation science seeks to develop generalizable principles and approaches to investigate and address care gaps, supporting HCP behaviour change while building a cumulative science. We highlight theory-informed approaches for defining HCP behaviour and investigating the prevalence of evidence-based care and known correlates and interventions to change professional practice. Behavioural sciences can be applied to develop implementation strategies to support HCP behaviour change and provide valid, reliable tools to evaluate these strategies. There are thousands of different behaviours performed by different HCPs across many contexts, requiring different implementation approaches. HCP behaviours can include activities related to promoting health and preventing illness, assessing and diagnosing illnesses, providing treatments, managing health conditions, managing the healthcare system and building therapeutic alliances. The key challenge is optimising behaviour change interventions that address barriers to and enablers of recommended practice. HCP behaviours may be determined by, but not limited to, Knowledge, Social influences, Intention, Emotions and Goals. Understanding HCP behaviour change is a critical to ensuring advances in health psychology are applied to maximize population health.
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Atenção à Saúde , Intenção , Humanos , Prevalência , Inquéritos e QuestionáriosRESUMO
While randomized controlled trials are essential to health research, many of these trials fail to recruit enough participants. Approaching recruitment through the lens of behavioral science can help trialists to understand influences on the decision to participate and use them to increase recruitment. Although this approach is promising, the use of behavioral influences during recruitment is in tension with the ethical principle of respect for persons, as at least some of these influences could be used to manipulate potential participants. In this paper, we examine this tension by discussing two types of behavioral influences: one example involves physician recommendations, and the other involves framing of information to exploit cognitive biases. We argue that despite the apparent tension with ethical principles, influencing trial participants through behavior change strategies can be ethically acceptable. However, we argue that trialists have a positive obligation to analyze their recruitment strategies for behavioral influences and disclose these upfront to the research ethics committee. But we also acknowledge that since neither trialists nor ethics committees are presently well equipped to perform these analyses, additional resources and guidance are needed. We close by outlining a path toward the development of such guidance.
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Comitês de Ética em Pesquisa , Preferência do Paciente , Humanos , Análise Ética , Seleção de PacientesRESUMO
BACKGROUND: The re-conceptualization of patients' and caregivers' roles in research from study participants to co-researchers ("patient partners") has led to growing pains within and outside the research community, such as how to effectively engage patients in research and as part of interdisciplinary teams. To support the growth of more successful research partnerships by developing a shared understanding of how patient partners conceptualize and contribute to their role, this study aimed to explore patient partners' motivations for engagement and understanding of their role. METHODS: We conducted semi-structured interviews with participants (n = 13) of an online survey of activities and impacts of patient engagement in Strategy for Patient-Oriented Research projects. Eligibility criteria included being a patient partner that indicated interest in interview participation upon survey completion, the ability to read/write in English and provide informed consent. Data were analyzed thematically using an inductive, codebook thematic analysis. RESULTS: Illuminating the lived/living patient and caregiver experience was central to how most patient partners conceptualized the role in terms of its definition, purpose, value, and responsibilities. Participants also identified four additional categories of motivations for becoming a patient partner and contributions that patient partners make to research that build upon and are in addition to sharing their lived/living experiences. Lastly, participants highlighted important connotations of the term patient partner, including temporal and context-specific considerations for the term "patient" and what "partner" may imply about the nature of the research relationship. CONCLUSIONS: At the onset of partnership, academic researchers and patient partners must create the space necessary to discuss and understand each other's underlying motivations for partnering and their perspectives on the purpose, value, and responsibilities of the patient partner role. These early conversations should help unearth what research partners hope to get out of and feel that they are able to contribute to engaging, and in such contribute to the development of reciprocal relationships that work towards shared and valued goals. Trial registration Not applicable.
Developing a shared understanding and respect for each other's motivations, experiences, and expectations is an important step toward successful academic researcher-patient partnerships. Therefore, this study aimed to explore patient partners' motivations for engagement and understanding of their role. We met this aim by interviewing 13 English-speaking individuals with lived/living experience of being patient partners on Strategy for Patient-Oriented Research projects. These individuals were identified through our database of previous study participants interested in future research opportunities. We analyzed the information gathered through interviews by identifying themes that arose among sets of interview questions. Our findings revealed that illuminating (i.e., sharing and drawing attention to) the lived/living patient and caregiver experience was central to how most participants defined the patient partner role and its purpose, value, and responsibilities. We also identified four other categories of motivations for becoming a patient partner and contributions that patient partners make to research other than sharing their lived/living experiences. Finally, interviews highlighted different types of meanings that could be attached to the title of "patient partner." Based on our findings, we suggest that it is very important that academic researchers and patient partners take the time to discuss and understand each other's underlying motivations for partnering and their thoughts on the purpose, value, and responsibilities of the patient partner role. These early conversations should help unearth what research partners hope to get out of and feel that they can contribute to engaging and, through this, help establish two-way relationships focused on shared and valued goals.
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INTRODUCTION: Knowledge translation has emerged as a practice and a science to bridge the gap between evidence and practice in healthcare. While the field has appropriately borrowed from other related fields to advance its science, there remain fields less mined. One such field with potential relevance to knowledge translation, but limited application to date, is social marketing. This review aims to determine elements of social marketing interventions that could be applied to knowledge translation science. Our objectives are to: (1) summarise the types of studies that have tested social marketing interventions in controlled intervention study designs; (2) describe the social marketing interventions and their effects; and (3) propose strategies for the integration of social marketing interventions into knowledge translation science. METHODS AND ANALYSIS: This scoping review will be conducted using the Joanna Briggs Institute Methodological Guidance. For the first and second objectives, all English-language studies published from 1971 onwards will be included if they (1) used a randomised or non-randomised controlled intervention design, and (2) tested a social marketing intervention as defined by five essential social marketing criteria. The research team will address the third objective through discussion and consensus. All screening and extraction will be performed independently by two reviewers. Variables extracted will include intervention details using essential and desirable social marketing criteria and the context, mechanism and outcomes of the interventions. ETHICS AND DISSEMINATION: This project is a secondary analysis of published papers and does not require ethics approval. We will disseminate our review outputs in knowledge translation journals and present at relevant conferences across the spectrum of the field. We will produce a short and long version of a plain language summary that will be tailored to various groups including implementation scientists and quality improvement researchers. REGISTRATION DETAILS: Open Science Framework Registration link: osf.io/6q834.
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Marketing Social , Ciência Translacional Biomédica , Humanos , Marketing , Projetos de Pesquisa , Literatura de Revisão como AssuntoRESUMO
Background: Efforts to maximize the impact of healthcare improvement interventions are hampered when intervention components are not well defined or described, precluding the ability to understand how and why interventions are expected to work. Method: We partnered with two organizations delivering province-wide quality improvement interventions to establish how they envisaged their interventions lead to change (their underlying causal assumptions) and to identify active ingredients (behavior change techniques [BCTs]). The interventions assessed were an audit and feedback report and an academic detailing program. Both focused on supporting safer opioid prescribing in primary care in Ontario, Canada. Data collection involved semi-structured interviews with intervention developers (n = 8) and a content analysis of intervention documents. Analyses unpacked and articulated how the interventions were intended to achieve change and how this was operationalized. Results: Developers anticipated that the feedback report would provide physicians with a clear understanding of their own prescribing patterns in comparison to others. In the feedback report, we found an emphasis on BCTs consistent with that assumption (feedback on behavior; social comparison). The detailing was designed to provide tailored support to enable physicians to overcome barriers to change and to gradually enact specific practice changes for patients based on improved communication. In the detailing materials, we found an emphasis on instructions on how to perform the behavior, for a range of behaviors (e.g., tapering opioids, treating opioid use disorder). The materials were supplemented by detailer-enacted BCTs (e.g., social support [practical]; goal setting [behavior]; review behavioral goal[s]). Conclusions: The interventions included a small range of BCTs addressing various clinical behaviors. This work provides a methodological example of how to apply a behavioral lens to surface the active ingredients, target clinical behaviors, and causal assumptions of existing large-scale improvement interventions that could be applied in other contexts to optimize effectiveness and facilitate scale and spread.
What is already known about the topic?: The causal assumptions and key components of implementation interventions are often not well described, which limits the influence of implementation science on implementation practice. What does this paper add?: This work provides an approach for surfacing the causal assumptions from intervention developers (through interviews with eight participants) and active ingredients from intervention materials, focusing on two real-world interventions already delivered at scale and designed to promote safer opioid prescribing. The analysis provides a comprehensive intervention description and reveals the extent to which final interventions align with developers' intentions. What are the implications for practice, research, or policy?: The findings provide a foundation for future work which will describe the effectiveness of these interventions (alone and in combination) and explore whether they achieve change in the intended ways, thereby providing an example of a more fulsome intervention evaluation. More broadly, our methods can be used by implementation practitioners to review and reflect on their intervention development process and support comprehensive intervention descriptions.
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BACKGROUND: While audit & feedback (A&F) is an effective implementation intervention, the design elements which maximize effectiveness are unclear. Partnering with a healthcare quality advisory organization already delivering feedback, we conducted a pragmatic, 2 × 2 factorial, cluster-randomized trial to test the impact of variations in two factors: (A) the benchmark used for comparison and (B) information framing. An embedded process evaluation explored hypothesized mechanisms of effect. METHODS: Eligible physicians worked in nursing homes in Ontario, Canada, and had voluntarily signed up to receive the report. Groups of nursing homes sharing physicians were randomized to (A) physicians' individual prescribing rates compared to top-performing peers (the top quartile) or the provincial median and (B) risk-framed information (reporting the number of patients prescribed high-risk medication) or benefit-framed information (reporting the number of patients not prescribed). We hypothesized that the top quartile comparator and risk-framing would lead to greater practice improvements. The primary outcome was the mean number of central nervous system-active medications per resident per month. Primary analyses compared the four arms at 6 months post-intervention. Factorial analyses were secondary. The process evaluation comprised a follow-up questionnaire and semi-structured interviews. RESULTS: Two hundred sixty-seven physicians (152 clusters) were randomized: 67 to arm 1 (median benchmark, benefit framing), 65 to arm 2 (top quartile benchmark, benefit framing), 75 to arm 3 (median benchmark, risk framing), and 60 to arm 4 (top quartile benchmark, risk framing). There were no significant differences in the primary outcome across arms or for each factor. However, engagement was low (27-31% of physicians across arms downloaded the report). The process evaluation indicated that both factors minimally impacted the proposed mechanisms. However, risk-framed feedback was perceived as more actionable and more compatible with current workflows, whilst a higher target might encourage behaviour change when physicians identified with the comparator. CONCLUSIONS: Risk framing and a top quartile comparator have the potential to achieve change. Further work to establish the strategies most likely to enhance A&F engagement, particularly with physicians who may be most likely to benefit from feedback, is required to support meaningfully addressing intricate research questions concerning the design of A&F. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02979964 . Registered 29 November 2016.
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Casas de Saúde , Qualidade da Assistência à Saúde , Humanos , Retroalimentação , Benchmarking , OntárioRESUMO
OBJECTIVE: Habitual behaviours are triggered automatically, with little conscious forethought. Theory suggests that making healthy behaviours habitual, and breaking the habits that underpin many ingrained unhealthy behaviours, promotes long-term behaviour change. This has prompted interest in incorporating habit formation and disruption strategies into behaviour change interventions. Yet, notable research gaps limit understanding of how to harness habit to change real-world behaviours. METHODS: Discussions among health psychology researchers and practitioners, at the 2019 European Health Psychology Society 'Synergy Expert Meeting', generated pertinent questions to guide further research into habit and health behaviour. RESULTS: In line with the four topics discussed at the meeting, 21 questions were identified, concerning: how habit manifests in health behaviour (3 questions); how to form healthy habits (5 questions); how to break unhealthy habits (4 questions); and how to develop and evaluate habit-based behaviour change interventions (9 questions). CONCLUSIONS: While our questions transcend research contexts, accumulating knowledge across studies of specific health behaviours, settings, and populations will build a broader understanding of habit change principles and how they may be embedded into interventions. We encourage researchers and practitioners to prioritise these questions, to further theory and evidence around how to create long-lasting health behaviour change.
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Medicina do Comportamento , Comportamentos Relacionados com a Saúde , Humanos , HábitosRESUMO
BACKGROUND: Diabetic retinopathy is a leading cause of preventable blindness in Canada. Clinical guidelines recommend annual diabetic retinopathy screening for people living with diabetes to reduce the risk and progression of vision loss. However, many Canadians with diabetes do not attend screening. Screening rates are even lower in immigrants to Canada including people from China, Africa, and the Caribbean, and these groups are also at higher risk of developing diabetes complications. We aim to assess the feasibility, acceptability, and fidelity of a co-developed, linguistically and culturally tailored tele-retinopathy screening intervention for Mandarin-speaking immigrants from China and French-speaking immigrants from African-Caribbean countries living with diabetes in Ottawa, Canada, and identify how many from each population group attend screening during the pilot period. METHODS: We will work with our health system and patient partners to conduct a 6-month feasibility pilot of a tele-retinopathy screening intervention in a Community Health Centre in Ottawa. We anticipate recruiting 50-150 patients and 5-10 health care providers involved in delivering the intervention for the pilot. Acceptability will be assessed via a Theoretical Framework of Acceptability-informed survey with patients and health care providers. To assess feasibility, we will use a Theoretical Domains Framework-informed interview guide and to assess fidelity, and we will use a survey informed by the National Institutes of Health framework from the perspective of health care providers. We will also collect patient demographics (i.e., age, gender, ethnicity, health insurance status, and immigration information), screening outcomes (i.e., patients with retinopathy identified, patients requiring specialist care), patient costs, and other intervention-related variables such as preferred language. Survey data will be descriptively analyzed and qualitative data will undergo content analysis. DISCUSSION: This feasibility pilot study will capture how many people living with diabetes from each group attend the diabetic retinopathy screening, costs, and implementation processes for the tele-retinopathy screening intervention. The study will indicate the practicability and suitability of the intervention in increasing screening attendance in the target population groups. The study results will inform a patient-randomized trial, provide evidence to conduct an economic evaluation of the intervention, and optimize the community-based intervention.
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BACKGROUND: Knowledge about the specific engagement activities pursued and associated impacts of patient engagement in research in Canada remains nascent. This study aimed to describe engagement activities and perceived impacts of projects funded by the Strategy for Patient-Oriented Research (SPOR). METHODS: This was a cross-sectional online survey of academic researchers and patient partners engaging in projects funded through 13 SPOR funding calls (2014-2019). Patient engagement activities and impacts were measured using a self-developed survey. Thematic analysis was used to describe engagement activities and impacts. RESULTS: 66 of 511 academic researchers and 20 of 28 patient partners contacted completed the survey and were included in analyses. Respondents reported that patient partners were engaged in seven types of activities across the research cycle: (a) sharing experiences/giving advice, (b) identifying the research focus/methods, (c) developing/revising aspects of the project, (d) conducting research activities, (e) study participation, (f) presenting on behalf of the project, and (g) other grant development or knowledge translation activities. Engagement was associated with six different types of impacts related to knowledge, outputs, or directions being (a) created, (b) moulded, (c) confirmed, or (d) chosen/prioritized, (e) perceived success of the research, and (f) minimal/negative impacts on the research. CONCLUSIONS: This study presents information on different ways that patient partners were engaged in SPOR-funded research and the potential impacts of these activities. This knowledge base is imperative to the future of patient engagement in research, including the planning and evaluation of future studies that engage patients as active shapers of research.
The Canadian Institutes of Health Research developed the Strategy for Patient-Oriented Research (SPOR) to help increase capacity for patient engagement in research. However, little is known about the ways in which Canadian patient co-researchers (i.e., patient partners) are being engaged in research and the perceived impacts of engagement. Therefore, this study aimed to describe engagement activities and perceived impacts of SPOR-funded projects. To do so, we carried out an online survey of academic researchers and patient partners engaging in projects funded through 13 SPOR funding calls. We analysed the collected data using thematic analysis, which focuses on finding themes among data. Sixty-six of 511 academic researchers and 20 of 28 patient partners contacted completed the survey and were included in analyses. We found that patient partners were engaged in seven types of activities across the research cycle: (a) sharing experiences/giving advice, (b) identifying the research focus/methods, (c) developing/revising aspects of the project, (d) conducting research activities, (e) study participation, (f) presenting on behalf of the project, and (g) other grant development or knowledge translation activities. We also found that engagement was associated with six different types of impacts related to knowledge, outputs, or directions being (a) created, (b) moulded, (c) confirmed, or (d) chosen/prioritized, (e) perceived success of the research, and (f) minimal/negative impacts on the research. The findings of this study can be used to inform ongoing and future research, including empowering patient partners to be more informed and actively shape how they may contribute to research processes.
RESUMO
RATIONALE: Translating research evidence into clinical practice to improve care involves healthcare professionals adopting new behaviours and changing or stopping their existing behaviours. However, changing healthcare professional behaviour can be difficult, particularly when it involves changing repetitive, ingrained ways of providing care. There is an increasing focus on understanding healthcare professional behaviour in terms of non-reflective processes, such as habits and routines, in addition to the more often studied deliberative processes. Theories of habit and routine provide two complementary lenses for understanding healthcare professional behaviour, although to date, each perspective has only been applied in isolation. OBJECTIVES: To combine theories of habit and routine to generate a broader understanding of healthcare professional behaviour and how it might be changed. METHODS: Sixteen experts met for a two-day multidisciplinary workshop on how to advance implementation science by developing greater understanding of non-reflective processes. RESULTS: From a psychological perspective 'habit' is understood as a process that maintains ingrained behaviour through a learned link between contextual cues and behaviours that have become associated with those cues. Theories of habit are useful for understanding the individual's role in developing and maintaining specific ways of working. Theories of routine add to this perspective by describing how clinical practices are formed, adapted, reinforced and discontinued in and through interactions with colleagues, systems and organisational procedures. We suggest a selection of theory-based strategies to advance understanding of healthcare professionals' habits and routines and how to change them. CONCLUSION: Combining theories of habit and routines has the potential to advance implementation science by providing a fuller understanding of the range of factors, operating at multiple levels of analysis, which can impact on the behaviours of healthcare professionals, and so quality of care provision.