Dataset Information

Implementing strategies in consumer and community engagement in health care: results of a large-scale, scoping meta-review.

ABSTRACT:

Background

There is growing recognition of the importance of the active involvement of consumers and community members in health care. Despite the long history of consumer and community engagement (CCE) research and practice, there is no consensus on the best strategies for CCE. In this paper, we identify various dimensions of CCE-related strategies and offer a practical model to assist policy-makers, practitioners and researchers.

Methods

We undertook a large-scale, scoping meta-review and searched six databases using a list of nine medical subject headings (MeSH) and a comprehensive list of 47 phrases. We identified and examined a total of 90 relevant systematic reviews.

Results

Identified reviews show that although there is a significant body of research on CCE, the development of the field is hindered by a lack of evidence relating to specific elements of CCE. They also indicate a diverse and growing enterprise, drawing on a wide range of disciplinary, political and philosophical perspectives and a mix of definitions, targets, approaches, strategies and mechanisms. CCE interventions and strategies aim to involve consumers, community members and the public in general, as well as specific sub-groups, including children and people from culturally and linguistically diverse backgrounds. Strategies for CCE vary in terms of their aim and type of proposed activity, as do the methods and tools which have been developed to support them. Methods and tools include shared decision making, use of decision aids, consumer representation, application of electronic and internet-based facilities, and peer support. The success of CCE is dependent on both the approach taken and contextual factors, including structural facilitators such as governmental support, as well as barriers such as costs, organisational culture and population-specific limitations.

Conclusions

The diversity of the field indicates the need to measure each component of CCE. This meta-review provides the basis for development of a new eight stage model of consumer and community engagement. This model emphasises the importance of clarity and focus, as well as an extensive evaluation of contextual factors within specific settings, before the implementation of CCE strategies, enabling those involved in CCE to determine potential facilitators and barriers to the process.

SUBMITTER: Sarrami-Foroushani P

PROVIDER: S-EPMC4177168 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature

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Publications

Implementing strategies in consumer and community engagement in health care: results of a large-scale, scoping meta-review.

Sarrami-Foroushani Pooria P Travaglia Joanne J Debono Deborah D Braithwaite Jeffrey J

BMC health services research 20140918

<h4>Background</h4>There is growing recognition of the importance of the active involvement of consumers and community members in health care. Despite the long history of consumer and community engagement (CCE) research and practice, there is no consensus on the best strategies for CCE. In this paper, we identify various dimensions of CCE-related strategies and offer a practical model to assist policy-makers, practitioners and researchers.<h4>Methods</h4>We undertook a large-scale, scoping meta- ...[more]

PMID: 25230846

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Project description:BackgroundThe implementation of eMental health interventions, especially in the workplace, is a complex process. Therefore, learning from existing implementation strategies is imperative to ensure improvements in the adoption, development, and scalability of occupational eMental health (OeMH) interventions. However, the implementation strategies used for these interventions are often undocumented or inadequately reported and have not been systematically gathered across implementations in a way that can serve as a much-needed guide for researchers.ObjectiveThe objective of this scoping review was to identify implementation strategies relevant to the uptake of OeMH interventions that target employees and detail the associated barriers and facilitation measures.MethodsA scoping review was conducted. The descriptive synthesis was guided by the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework and the Consolidated Framework for Implementation Research.ResultsA total of 31 of 32,916 (0.09%) publications reporting the use of the web-, smartphone-, telephone-, and email-based OeMH interventions were included. In all, 98 implementation strategies, 114 barriers, and 131 facilitators were identified. The synthesis of barriers and facilitators produced 19 facilitation measures that provide initial recommendations for improving the implementation of OeMH interventions.ConclusionsThis scoping review represents one of the first steps in a research agenda aimed at improving the implementation of OeMH interventions by systematically selecting, shaping, evaluating, and reporting implementation strategies. There is a dire need for improved reporting of implementation strategies and combining common implementation frameworks with more technology-centric implementation frameworks to fully capture the complexities of eHealth implementation. Future research should investigate a wider range of common implementation outcomes for OeMH interventions that also focus on a wider set of common mental health problems in the workplace. This scoping review's findings can be critically leveraged by discerning decision-makers to improve the reach, effectiveness, adoption, implementation, and maintenance of OeMH interventions.

Project description:Implementation experts suggest tailoring strategies to the intended context may enhance outcomes. However, it remains unclear which strategies are best suited to address specific barriers to implementation, in part because few measurement methods exist that adhere to recommendations for reporting. In the context of a dynamic cluster randomized trial comparing a standardized to tailored approach to implementing measurement-based care (MBC), this study aimed to (a) describe a method for tracking implementation strategies, (b) demonstrate the method by tracking strategies generated by teams tasked with implementing MBC at their clinics in the tailored condition, and (c) conduct preliminary examinations of the relation between strategy use and implementation outcomes (i.e., self-reported fidelity to MBC). The method consisted of a coding form based on Proctor, Powell, and McMillen (2013) implementation strategy reporting guidelines and Powell et al.'s (2012) taxonomy to facilitate specification of the strategies. A trained research specialist coded digitally recorded implementation team meetings. The method allowed for the following characterization of strategy use. Each site generated 39 unique strategies across an average of six meetings in five months. There was little variability in the use of types of implementation strategies across sites with the following order of prevalence: quality management (50.00%), restructuring (16.53%), communication (15.68%), education (8.90%), planning (7.20%), and financing (1.69%). We identified a new category of strategies not captured by the existing taxonomy, labeled "communication." There was no evidence that number of implementation strategies enacted was statistically significantly associated with changes in self-reported fidelity to MBC-however, financing strategies were associated with increased fidelity. This method has the capacity to yield rich data that will inform investigations into tailored implementation approaches.

Project description:Summary Background Gambling appears to be an independent risk factor for suicide among the young population worldwide. Blind boxes are collectable toys packed randomly in the box, which share certain similarities with gambling and are popular among the young population. This is the first study that examined the association between blind box engagement and suicide risk in the young population, the leading consumption group of blind boxes. Methods This study is part of a large-scale, cross-sectional study using convenience sampling conducted Oct 26 to Nov 18, 2021, which covered all the university and college students in the Jilin province, China. A total of 73,206 participants completed the survey with valid data for the current study (male: N = 28,762; female: N = 44,444; Mean age = 19·59). Participants’ blind box engagement, suicide risk, depression, anxiety, alcohol use, smoking habit, and sociodemographic characteristics were assessed. First, we used univariate and multivariable binary logistic regression models to examine the relationship between blind box engagement and suicide risk in all participants. Second, we tested whether depression and anxiety would mediate the association between blind box engagement and suicide risk. Third, we analysed the association between “Frequency (i.e., frequency of blind box engagement),” “Bet (i.e., expenditure on the blind box that exceeds affordability),” “Tolerance (i.e., level of addiction),” “Borrowed (i.e., the amount of money borrowed for blind box engagement),” and suicide risk in the group with blind box engagement history. Findings 4,195 participants (5·73%) have engaged in blind boxes, with 3,255 females (77·59%) and 940 males (22·41%). In the univariate models, binary logistic regression showed that blind box engagement was associated with suicide risk in both male and female participants (male: OR = 2·21, 95% CI = 1·86-2·63; female: OR = 1·64, 95% CI = 1·50-1·78). In the multivariable models, after controlling age, subjective socioeconomic status, per capita disposable income, alcohol use, and smoking habit, blind box engagement still was associated with suicide risk across genders (male: OR = 2·25, 95% CI = 1·89-2·68; female: OR = 1·58, 95% CI = 1·45-1·73). Depression (male: indirect effect = 0·31, SE = 0·04, p < 0·001; female: indirect effect = 0·20, SE = 0·02, p < 0·001) and anxiety (male: indirect effect = 0·26, SE = 0·03, p < 0·001; female: indirect effect = 0·13, SE = 0·02, p < 0·001) mediate the association between blind box engagement and suicide risk. Within the blind box engagement group, forward binary logistic regression revealed that “Tolerance” was associated with participants’ suicide risk in both males (p = 0·001) and females (p < 0·001); “Borrowed” (p = 0·019) alone was associated with the male participants’ suicide risk. Interpretation Our findings showed that blind box over-engagement is positively associated with suicide risk in both young males and females, and this association persisted after adjusting for influencing factors. In spite of the limitations in this study (e.g., cross-sectional, convenience sampling), current findings can assist policymakers in developing regulations for such a prosperous youth-dominant consumption industry while protecting youth's mental health worldwide. Funding None.

Project description:BackgroundDigital interventions offer a solution to address the high demand for mental health promotion, especially when facing physical contact restrictions or lacking accessibility. Engagement with digital interventions is critical for their effectiveness; however, retaining users' engagement throughout the intervention is challenging. It remains unclear what strategies facilitate engagement with digital interventions that target mental health promotion.ObjectiveOur aim is to conduct a scoping review to investigate user engagement strategies and methods to evaluate engagement with digital interventions that target mental health promotion in adults.MethodsThis scoping review adheres to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for scoping reviews. The search was conducted in 7 electronic databases from inception to April 2020. The inclusion criteria for studies were as follows: adult (aged ≥18 years) users of digital interventions for mental health promotion from the general population; any digital intervention for mental health promotion; and user engagement strategies described in the intervention design. We extracted the following data items: study characteristics, digital intervention (type and engagement strategy), evaluation of engagement strategy (method and result specifying whether the strategy was effective at facilitating engagement), and features of engagement (extent of use and subjective experience of users).ResultsA total of 2766 studies were identified, of which 16 (0.58%) met the inclusion criteria. The 16 studies included randomized controlled trials (6/16, 37%), studies analyzing process data (5/16, 31%), observational studies (3/16, 19%), and qualitative studies (2/16, 13%). The digital interventions for mental health promotion were either web based (12/16, 75%) or mobile app based (4/16, 25%). The engagement strategies included personalized feedback about intervention content or users' mental health status; guidance regarding content and progress through e-coaching; social forums, and interactivity with peers; content gamification; reminders; and flexibility and ease of use. These engagement strategies were deemed effective based on qualitative user feedback or responses on questionnaires or tools (4/16, 25%), usability data (5/16, 31%), or both (7/16, 44%). Most studies identified personalized support in the form of e-coaching, peer support through a social platform, personalized feedback, or joint videoconference sessions as an engaging feature.ConclusionsPersonalized support during the intervention, access to social support, and personalized feedback seem to promote engagement with digital interventions for mental health promotion. These findings need to be interpreted with caution because the included studies were heterogeneous, had small sample sizes, and typically did not address engagement as the primary outcome. Despite the importance of user engagement for the effectiveness of digital interventions, this field has not yet received much attention. Further research is needed on the effectiveness of different strategies required to facilitate user engagement in digital interventions for mental health promotion.

Project description:BackgroundAcute-care interventions that identify patients with substance use disorders (SUDs), initiate treatment, and link patients to community-based services, have proliferated in recent years. Yet, much is unknown about the specific strategies being used to support continuity of care from emergency department (ED) or inpatient hospital settings to community-based SUD treatment. In this scoping review, we synthesize the existing literature on patient transition interventions, and form an initial typology of reported strategies.MethodsWe searched Pubmed, Embase, CINAHL and PsychINFO for peer-reviewed articles published between 2000-2021 that studied interventions linking SUD patients from ED or inpatient hospital settings to community-based SUD services. Eligible articles measured at least one post-discharge treatment outcome and included a description of the strategy used to promote linkage to community care. Detailed information was extracted on the components of the transition strategies and a thematic coding process was used to categorize strategies into a typology based on shared characteristics. Facilitators and barriers to transitions of care were synthesized using the Consolidated Framework for Implementation Research.ResultsForty-five articles met inclusion criteria. 62% included ED interventions and 44% inpatient interventions. The majority focused on patients with opioid (71%) followed by alcohol (31%) use disorder. The transition strategies reported across studies were heterogeneous and often not well described. An initial typology of ten transition strategies, including five pre-and five post-discharge transition strategies is proposed. The most common strategy was scheduling an appointment with a community-based treatment provider prior to discharge. A range of facilitators and barriers were described, which can inform efforts to improve hospital-to-community transitions of care.ConclusionsStrategies to support transitions from acute-care to community-based SUD services, although critical for ensuring continuity of care, vary greatly across interventions and are inconsistently measured and described. More research is needed to classify SUD care transition strategies, understand their components, and explore which lead to the best patient outcomes.

Dataset Information

Implementing strategies in consumer and community engagement in health care: results of a large-scale, scoping meta-review.

Background

Methods

Results

Conclusions

Publications

Implementing strategies in consumer and community engagement in health care: results of a large-scale, scoping meta-review.

Similar Datasets

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