Dataset Information

Implementation Strategies for Web-Based Apps for Screening: Scoping Review.

ABSTRACT: BACKGROUND:Screening is an effective primary prevention strategy in health care, as it enables the early detection of diseases. However, the uptake of such screening remains low. Different delivery methods for screening have been developed and found to be effective in increasing the uptake of screening, including the use of web-based apps. Studies have shown that web-based apps for screening are effective in increasing the uptake of health screening among the general population. However, not much is known about the effective implementation of such web-based apps in the real-world setting. Implementation strategies are theory-based methods or techniques used to enhance the adoption, implementation, and sustainability of evidence-based interventions. Implementation strategies are important, as they allow us to understand how to implement an evidence-based intervention. Therefore, a scoping review to identify the various implementation strategies for web-based apps for screening is warranted. OBJECTIVE:This scoping review aims to identify (1) strategies used to implement web-based apps for health screening, (2) frameworks used for implementing web-based apps for health screening, (3) outcome measures of implementation strategies, and (4) effective implementation strategies. METHODS:This scoping review was conducted based on Arksey and O'Malley's framework. After identifying the review question, two researchers independently screened and selected relevant literature from PubMed, Embase, Cochrane, Cumulative Index of Nursing and Allied Health Literature, PsycINFO, International Standard Randomised Controlled Trial Number Registry, OpenGrey, ClinicalTrials.gov, World Health Organization International Clinical Trials Registry Platform, and Web of Science. This was followed by charting the data using a standardized form. Finally, we collated, summarized, and reported the results quantitatively and qualitatively based on the review objectives. RESULTS:A total of 16,476 studies were retrieved, of which 5669 were duplicates. From a total of 10,807 studies, 10,784 studies were excluded based on their titles and abstracts. There were 23 full-text articles reviewed, and 4 articles were included in the final analysis. Many studies were excluded because they focused on the effectiveness and not on the implementation of web-based apps. Facilitation was the most cited implementation strategy used, followed by reminders, clinical champions, and educational meetings and materials. Only 2 studies used implementation frameworks to guide the evaluation of their studies. Common outcome measures for implementation strategies were feasibility, fidelity, and penetration. Implementation strategies reported to be effective were quality improvement meetings, facilitation, educational meetings, and clinical champions. CONCLUSIONS:There is a dearth of literature on the implementation of web-based apps for health screening. Implementation strategies were developed without any reported use of implementation theories or frameworks in most studies. More research on the development and evaluation of web-based screening app implementations is needed.

SUBMITTER: Ooi CY

PROVIDER: S-EPMC7400029 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Implementation Strategies for Web-Based Apps for Screening: Scoping Review.

Ooi Chor Yau CY Ng Chirk Jenn CJ Sales Anne E AE Lim Hooi Min HM

Journal of medical Internet research 20200720 7

<h4>Background</h4>Screening is an effective primary prevention strategy in health care, as it enables the early detection of diseases. However, the uptake of such screening remains low. Different delivery methods for screening have been developed and found to be effective in increasing the uptake of screening, including the use of web-based apps. Studies have shown that web-based apps for screening are effective in increasing the uptake of health screening among the general population. However, ...[more]

PMID: 32706655

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Project description:BackgroundGiven the magnitude and speed of SARS-CoV-2 transmission, achieving timely and effective manual contact tracing has been a challenging task. Early in the pandemic, contact tracing apps generated substantial enthusiasm due to their potential for automating tracing and reducing transmission rates while enabling targeted confinement strategies. However, although surveys demonstrate public interest in using such apps, their actual uptake remains limited. Their social acceptability is challenged by issues around privacy, fairness, and effectiveness, among other concerns.ObjectiveThis study aims to examine the extent to which design and implementation considerations for contact tracing apps are detailed in the available literature, focusing on aspects related to participatory and responsible eHealth innovation, and synthesize recommendations that support the development of successful COVID-19 contact tracing apps and related eHealth technologies.MethodsSearches were performed on five databases, and articles were selected based on eligibility criteria. Papers pertaining to the design, implementation, or acceptability of contact tracing apps were included. Articles published since 2019, written in English or French, and for which the full articles were available were considered eligible for analysis. To assess the scope of the knowledge found in the current literature, we used three complementary frameworks: (1) the Holistic Framework to Improve the Uptake and Impact of eHealth Technologies, (2) the Montreal model, and (3) the Responsible Innovation in Health Assessment Tool.ResultsA total of 63 articles qualified for the final analysis. Less than half of the selected articles cited the need for a participatory process (n=25, 40%), which nonetheless was the most frequently referenced item of the Framework to Improve the Uptake and Impact of eHealth Technologies. Regarding the Montreal model, stakeholder consultation was the most frequently described level of engagement in the development of contact tracing apps (n=24, 38%), while collaboration and partnership were cited the least (n=2, 3%). As for the Responsible Innovation in Health framework, all the articles (n=63, 100%) addressed population health, whereas only 2% (n=1) covered environmental considerations.ConclusionsMost studies lacked fundamental aspects of eHealth development and implementation. Our results demonstrate that stakeholders of COVID-19 contact tracing apps lack important information to be able to critically appraise this eHealth innovation. This may have contributed to the modest uptake of contact tracing apps worldwide. We make evidence-informed recommendations regarding data management, communication, stakeholder engagement, user experience, and implementation strategies for the successful and responsible development of contact tracing apps.

Project description:BackgroundImplementation strategies are vital for the uptake of evidence to improve health, healthcare delivery, and decision-making. Medical or mental emergencies may be life-threatening, especially in children, due to their unique physiological needs when presenting in the emergency departments (EDs). Thus, practice change in EDs attending to children requires evidence-informed considerations regarding the best approaches to implementing research evidence. We aimed to identify and map the characteristics of implementation strategies used in the emergency management of children.MethodsWe conducted a scoping review using Arksey and O'Malley's framework. We searched four databases [Medline (Ovid), Embase (Ovid), Cochrane Central (Wiley) and CINAHL (Ebsco)] from inception to May 2019, for implementation studies in children (≤21 years) in emergency settings. Two pairs of reviewers independently selected studies for inclusion and extracted the data. We performed a descriptive analysis of the included studies.ResultsWe included 87 studies from a total of 9,607 retrieved citations. Most of the studies were before and after study design (n = 68, 61%) conducted in North America (n = 63, 70%); less than one-tenth of the included studies (n = 7, 8%) were randomized controlled trials (RCTs). About one-third of the included studies used a single strategy to improve the uptake of research evidence. Dissemination strategies were more commonly utilized (n = 77, 89%) compared to other implementation strategies; process (n = 47, 54%), integration (n = 49, 56%), and capacity building and scale-up strategies (n = 13, 15%). Studies that adopted capacity building and scale-up as part of the strategies were most effective (100%) compared to dissemination (90%), process (88%) and integration (85%).ConclusionsStudies on implementation strategies in emergency management of children have mostly been non-randomized studies. This review suggests that 'dissemination' is the most common strategy used, and 'capacity building and scale-up' are the most effective strategies. Higher-quality evidence from randomized-controlled trials is needed to accurately assess the effectiveness of implementation strategies in emergency management of children.

Project description:BackgroundThe use of low-value care (LVC) is a persistent problem that calls for knowledge about strategies for de-implementation. However, studies are dispersed across many clinical fields, and there is no overview of strategies that can be used to support the de-implementation of LVC. The extent to which strategies used for implementation are also used in de-implementing LVC is unknown. The aim of this scoping review is to (1) identify strategies for the de-implementation of LVC described in the scientific literature and (2) compare de-implementation strategies to implementation strategies as specified in the Expert Recommendation for Implementing Change (ERIC) and strategies added by Perry et al. METHOD: A scoping review was conducted according to recommendations outlined by Arksey and O'Malley. Four scientific databases were searched, relevant articles were snowball searched, and the journal Implementation Science was searched manually for peer-reviewed journal articles in English. Articles were included if they were empirical studies of strategies designed to reduce the use of LVC. Two reviewers conducted all abstract and full-text reviews, and conflicting decisions were discussed until consensus was reached. Data were charted using a piloted data-charting form. The strategies were first coded inductively and then mapped onto the ERIC compilation of implementation strategies.ResultsThe scoping review identified a total of 71 unique de-implementation strategies described in the literature. Of these, 62 strategies could be mapped onto ERIC strategies, and four strategies onto one added category. Half (50%) of the 73 ERIC implementation strategies were used for de-implementation purposes. Five identified de-implementation strategies could not be mapped onto any of the existing strategies in ERIC.ConclusionsSimilar strategies are used for de-implementation and implementation. However, only a half of the implementation strategies included in the ERIC compilation were represented in the de-implementation studies, which may imply that some strategies are being underused or that they are not applicable for de-implementation purposes. The strategies assess and redesign workflow (a strategy previously suggested to be added to ERIC), accountability tool, and communication tool (unique new strategies for de-implementation) could complement the existing ERIC compilation when used for de-implementation purposes.

Project description:Background:Inactivity and sedentary lifestyle have led experts to recommend an increase in structured, workplace-based physical activity (PA) initiatives. Previous studies on workplace-based PA have only shown moderate and short-term effects. This has been attributed to the lack of clear implementation strategies and understanding of factors that may hinder or enable uptake of PA. To ensure long-term, sustainable outcomes, there is a need for a better understanding of implementation strategies, and barriers and facilitators to workplace-based PA. Method:A scoping review of studies investigating implementation approaches and factors affecting uptake of workplace-based PA was conducted. Qualitative and quantitative articles published in MEDLINE, Embase, Scopus, or PsycINFO between 2008 and 2018 evaluating the implementation of PA were included. Data on study characteristics, evaluation, and implementation methods applied were systematically extracted. Two reviewers extracted, coded, and organised factors affecting uptake using the Theoretical Domains Framework (TDF). Results:After dual, blinded screening of titles and abstracts, 16 articles reporting on eight studies were included in the review. Several different methods of implementation were applied, including information meeting, kick-off events, and "change agents" as the most common. A total of 109 factors influencing implementation were identified, consisting of 57 barriers and 52 facilitators. Barriers most often related to the TDF domains Environmental Context and Resources (n?=?34, 36.2%), Social influences (n?=?13, 13.8%), and Social/Professional Role and Identity (n?=?8, 8.5%). Likewise, facilitators most often related to the TDF domains Social influences (n?=?17, 19.5%), Environmental Context and Resources (n?=?16, 18.4%), and Social/Professional Role and Identity (n?=?9, 10.3%). Conclusion:Our review has highlighted the multilevel factors affecting the uptake of workplace-based PA and underpins the complexities in implementation of such initiatives. The published literature predominantly provides details from the employees' perspectives on factors that need to be addressed and a lack of attention to these factors will cause them to hamper uptake of PA. The analysis of barriers and facilitators provides a theoretical foundation to guide future intervention design. However, further research is needed to fully understand the success or failure of implementation processes.

Project description:BackgroundOne relatively new and increasingly popular approach of increasing access to treatment is Web-based intervention programs. The advantage of Web-based approaches is the accessibility, affordability, and anonymity of potentially evidence-based treatment. Despite much research evidence on the effectiveness of Web-based interventions for anxiety found in the literature, little is known about what is publically available for potential consumers on the Web.ObjectiveOur aim was to explore what a consumer searching the Web for Web-based intervention options for anxiety-related issues might find. The objectives were to identify currently publically available Web-based intervention programs for anxiety and to synthesize and review these in terms of (1) website characteristics such as credibility and accessibility; (2) intervention program characteristics such as intervention focus, design, and presentation modes; (3) therapeutic elements employed; and (4) published evidence of efficacy.MethodsWeb keyword searches were carried out on three major search engines (Google, Bing, and Yahoo-UK platforms). For each search, the first 25 hyperlinks were screened for eligible programs. Included were programs that were designed for anxiety symptoms, currently publically accessible on the Web, had an online component, a structured treatment plan, and were available in English. Data were extracted for website characteristics, program characteristics, therapeutic characteristics, as well as empirical evidence. Programs were also evaluated using a 16-point rating tool.ResultsThe search resulted in 34 programs that were eligible for review. A wide variety of programs for anxiety, including specific anxiety disorders, and anxiety in combination with stress, depression, or anger were identified and based predominantly on cognitive behavioral therapy techniques. The majority of websites were rated as credible, secure, and free of advertisement. The majority required users to register and/or to pay a program access fee. Half of the programs offered some form of paid therapist or professional support. Programs varied in treatment length and number of modules and employed a variety of presentation modes. Relatively few programs had published research evidence of the intervention's efficacy.ConclusionsThis review represents a snapshot of available Web-based intervention programs for anxiety that could be found by consumers in March 2015. The consumer is confronted with a diversity of programs, which makes it difficult to identify an appropriate program. Limited reports and existence of empirical evidence for efficacy make it even more challenging to identify credible and reliable programs. This highlights the need for consistent guidelines and standards on developing, providing, and evaluating Web-based interventions and platforms with reliable up-to-date information for professionals and consumers about the characteristics, quality, and accessibility of Web-based interventions.

Project description:BackgroundCaring for people with dementia is complex, and there are various evidence-based interventions. However, a gap exists between the available interventions and how to implement them. The objectives of our review are to identify implementation strategies, implementation outcomes, and influencing factors for the implementation of evidence-based interventions that focus on three preselected phenomena in people with dementia: (A) behavior that challenges supporting a person with dementia in long-term care, (B) delirium in acute care, and (C) postacute care needs.MethodsWe conducted a scoping review according to the description of the Joanna Briggs Institute. We searched MEDLINE, CINAHL, and PsycINFO. For the data analysis, we conducted deductive content analysis. For this analysis, we used the Expert Recommendations for Implementation Change (ERIC), implementation outcomes according to Proctor and colleagues, and the Consolidated Framework for Implementation Research (CFIR).ResultsWe identified 362 (A), 544 (B), and 714 records (C) on the three phenomena and included 7 (A), 3 (B), and 3 (C) studies. Among the studies, nine reported on the implementation strategies they used. Clusters with the most reported strategies were adapt and tailor to context and train and educate stakeholders. We identified one study that tested the effectiveness of the applied implementation strategy, while ten studies reported implementation outcomes (mostly fidelity). Regarding factors that influence implementation, all identified studies reported between 1 and 19 factors. The most reported factors were available resources and the adaptability of the intervention. To address dementia-specific influencing factors, we enhanced the CFIR construct of patient needs and resources to include family needs and resources.ConclusionsWe found a high degree of homogeneity across the different dementia phenomena, the evidence-based interventions, and the care settings in terms of the implementation strategies used, implementation outcomes measured, and influencing factors identified. However, it remains unclear to what extent implementation strategies themselves are evidence-based and which intervention strategy can be used by practitioners when either the implementation outcomes are not adjusted to the implementation strategy and/or the effects of implementation strategies are mostly unknown. Future research needs to focus on investigating the effectiveness of implementation strategies for evidence-based interventions for dementia care.Trial registrationThe review protocol was prospectively published (Manietta et al., BMJ Open 11:e051611, 2021).

Dataset Information

Implementation Strategies for Web-Based Apps for Screening: Scoping Review.

Publications

Implementation Strategies for Web-Based Apps for Screening: Scoping Review.

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