Dataset Information

The Application of Systems Science in Nutrition-Related Behaviors and Outcomes Implementation Research: A Scoping Review.

ABSTRACT: Use of systems science can improve the dissemination and implementation (D&I) process. However, little is known about use of systems science in nutrition D&I research. The purpose of this article is to synthesize the ways in which systems science methodology is applied in nutrition D&I research. Scoping review methodology involved searching 6 academic databases for full-text, peer-reviewed, English articles published between 1970 and 2020 that employed systems science within nutrition D&I research. Data extraction included intervention type, population, study aim, methods, theoretical approach, outcomes, and results. Descriptive statistics and qualitative thematic analysis followed. Thirty-four retained articles qualitatively identified benefits (successful planning and organization of complex interventions) and challenges (limited resources, trainings, and lack of knowledge) to utilizing systems science in nutrition D&I research. Future research should work toward building knowledge capacity among nutrition practitioners by increasing available trainings and resources to enhance the utilization of systems science in nutrition D&I research.

SUBMITTER: Walker AE

PROVIDER: S-EPMC8435056 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:IntroductionEver since the 1960s, Guatemala has been a principle site for global academic research on child growth and nutrition. Nevertheless, Guatemala still has one of the highest rates of child stunting in the world. Since 2012, Guatemala has had a comprehensive national policy on stunting, calling for a renewed investment in innovative, multilevel nutrition interventions and implementation science. Our objective was to perform a systematic search and scoping review of the literature on stunting in Guatemala to identify gaps in research and opportunities for responding to this unique policy opportunity.MethodsWe conducted a systematic search and scoping review on stunting in Guatemala, searching the PubMed, Web of Science and PsycINFO databases. Eligible articles were of any design or format, published in English and Spanish from 2000 to 2018. Articles were thematically grouped by those published before (2000-2011) and after (2012-2018) the new national policy initiatives.ResultsWe identified a total of 1934 articles through database searches. After full-text review, 104 were included in the synthesis. The volume of published articles on stunting increased from a mean of 3.2 to 9.4 articles/year before and after 2012. There was a shift toward articles generating new data on priority populations, including rural indigenous Maya populations (34% vs 61%, χ2 test, p=0.01). However, the proportion of studies conducting implementation evaluations or testing new interventions was low and did not change significantly (34% vs 18%, χ2 test, p=0.07). Among 17 identified intervention studies, only 4 tested multilevel interventions, and there were no published interventions incorporating nutrition-sensitive interventions.ConclusionsA systematic search and scoping review of the literature on child stunting in Guatemala identified critical opportunities for new research in multilevel interventions, nutrition-sensitive interventions and implementation science.

Project description:IntroductionChild malnutrition in all forms is known globally as the leading cause of poor health. Planning and solving this challenge require sources that collect data accurately. Nutrition surveillance systems (NSS), nutrition registry systems (NRS) and nutrition information systems (NIS) collect and analyse data on nutrition status. Unfortunately, these systems only exist in a few countries. The methods that these systems use significantly differ and their effectiveness is also scarcely researched. This scoping literature review aimed to conduct a survey on NSS, NRS and NIS that collect data on children's nutrition at national and international levels, along with their attributes.Methods and analysisThe methods and analyses of this scoping review follow the Arksey and O'Malley's methodology. This scoping literature review will be conducted in five stages based on this method. (1) The main research question and subquestions are identified. (2) Relevant studies are extracted. In this step, we will search electronic databases including PubMed, Scopus and ISI Web of Science. A manual search will also be performed in Google Scholar, grey literature, and the websites of organisations such as WHO, UNICEF, Centers for Disease Control and Prevention, National Health Service, International Food Policy Research Institute, Food and Agriculture Organization, Food and Nutrition Technical Assistance, United Nations World Food Programme, and United Nations System Standing Committee on Nutrition. (3) Extracted studies are separately reviewed by two reviewers based on inclusion and exclusion criteria, and eligible studies are then selected. A third reviewer resolves disagreements. (4) A checklist is developed to extract the features. Data of included systems are separately extracted and entered into a checklist by two reviewers. A third reviewer then resolves any disagreement. (5) Data are summarised and analysed and are presented in tables and figures.DiscussionThis scoping literature review provides strong evidence of the status of systems that collect data on the status of child nutrition. This evidence can help select best practices which can be applied to develop future systems. It can also be a positive step towards achieving an integrated system.

Project description:BACKGROUND:The relevance of context in implementation science is reflected in the numerous theories, frameworks, models and taxonomies that have been proposed to analyse determinants of implementation (in this paper referred to as determinant frameworks). This scoping review aimed to investigate and map how determinant frameworks used in implementation science were developed, what terms are used for contextual determinants for implementation, how the context is conceptualized, and which context dimensions that can be discerned. METHODS:A scoping review was conducted. MEDLINE and EMBASE were searched from inception to October 2017, and supplemented with implementation science text books and known published overviews. Publications in English that described a determinant framework (theory, model, taxonomy or checklist), of which context was one determinant, were eligible. Screening and inclusion were done in duplicate. Extracted data were analysed to address the study aims. A qualitative content analysis with an inductive approach was carried out concerning the development and core context dimensions of the frameworks. The review is reported according to the PRISMA guidelines. RESULTS:The database searches yielded a total of 1113 publications, of which 67 were considered potentially relevant based on the predetermined eligibility criteria, and retrieved in full text. Seventeen unique determinant frameworks were identified and included. Most were developed based on the literature and/or the developers' implementation experiences. Six of the frameworks explicitly referred to "context", but only four frameworks provided a specific definition of the concept. Instead, context was defined indirectly by description of various categories and sub-categories that together made up the context. Twelve context dimensions were identified, pertaining to different aggregation levels. The most widely addressed context dimensions were organizational support, financial resources, social relations and support, and leadership. CONCLUSIONS:The findings suggest variation with regard to how the frameworks were developed and considerable inconsistency in terms used for contextual determinants, how context is conceptualized, and which contextual determinants are accounted for in frameworks used in implementation science. Common context dimensions were identified, which can facilitate research that incorporates a theory of context, i.e. assumptions about how different dimensions may influence each other and affect implementation outcomes. A thoughtful application of the concept and a more consistent terminology would enhance transparency, simplify communication among researchers, and facilitate comparison across studies.

Project description:BackgroundDespite wide recognition that clinical care should be informed by the best available evidence, this does not always occur. Despite a myriad of theories, models and frameworks to promote evidence-based population health, there is still a long way to go, particularly in maternity care. The aim of this study is to appraise the scientific study of methods to promote the systematic uptake of evidence-based interventions in maternity care. This is achieved by clarifying if and how implementation science theories, models, and frameworks are used.MethodsTo map relevant literature, a scoping review was conducted of articles published between January 2005 and December 2019, guided by Peters and colleagues' (2015) approach. Specifically, the following academic databases were systematically searched to identify publications that presented findings on implementation science or the implementation process (rather than just the intervention effect): Business Source Complete; CINAHL Plus with Full Text; Health Business Elite; Health Source: Nursing/Academic Edition; Medline; PsycARTICLES; PsycINFO; and PubMed. Information about each study was extracted using a purposely designed data extraction form.ResultsOf the 1181 publications identified, 158 were included in this review. Most of these reported on factors that enabled implementation, including knowledge, training, service provider motivation, effective multilevel coordination, leadership and effective communication-yet there was limited expressed use of a theory, model or framework to guide implementation. Of the 158 publications, 144 solely reported on factors that helped and/or hindered implementation, while only 14 reported the use of a theory, model and/or framework. When a theory, model or framework was used, it typically guided data analysis or, to a lesser extent, the development of data collection tools-rather than for instance, the design of the study.ConclusionGiven that models and frameworks can help to describe phenomenon, and theories can help to both describe and explain it, evidence-based maternity care might be promoted via the greater expressed use of these to ultimately inform implementation science. Specifically, advancing evidence-based maternity care, worldwide, will require the academic community to make greater explicit and judicious use of theories, models, and frameworks.RegistrationRegistered with the Joanna Briggs Institute (registration number not provided).

Project description:Operational research (OR) is the discipline of using models, either quantitative or qualitative, to aid decision-making in complex implementation problems. The methods of OR have been used in healthcare since the 1950s in diverse areas such as emergency medicine and the interface between acute and community care; hospital performance; scheduling and management of patient home visits; scheduling of patient appointments; and many other complex implementation problems of an operational or logistical nature.To date, there has been limited debate about the role that operational research should take within implementation science. I detail three such roles for OR all grounded in upfront system thinking: structuring implementation problems, prospective evaluation of improvement interventions, and strategic reconfiguration. Case studies from mental health, emergency medicine, and stroke care are used to illustrate each role. I then describe the challenges for applied OR within implementation science at the organisational, interventional, and disciplinary levels. Two key challenges include the difficulty faced in achieving a position of mutual understanding between implementation scientists and research users and a stark lack of evaluation of OR interventions. To address these challenges, I propose a research agenda to evaluate applied OR through the lens of implementation science, the liberation of OR from the specialist research and consultancy environment, and co-design of models with service users. Operational research is a mature discipline that has developed a significant volume of methodology to improve health services. OR offers implementation scientists the opportunity to do more upfront system thinking before committing resources or taking risks. OR has three roles within implementation science: structuring an implementation problem, prospective evaluation of implementation problems, and a tool for strategic reconfiguration of health services. Challenges facing OR as implementation science include limited evidence and evaluation of impact, limited service user involvement, a lack of managerial awareness, effective communication between research users and OR modellers, and availability of healthcare data. To progress the science, a focus is needed in three key areas: evaluation of OR interventions, embedding the knowledge of OR in health services, and educating OR modellers about the aims and benefits of service user involvement.

Project description:Malnutrition in all its forms has risen on global and national agendas in recent years because of the recognition of its magnitude and its consequences for a wide range of human, social, and economic outcomes. Although the WHO, national governments, and other organizations have endorsed targets and identified appropriate policies, programs, and interventions, a major challenge lies in implementing these with the scale and quality needed to achieve population impact. This paper presents an approach to implementation science in nutrition (ISN) that builds upon concepts developed in other policy domains and addresses critical gaps in linking knowledge to effective action. ISN is defined here as an interdisciplinary body of theory, knowledge, frameworks, tools, and approaches whose purpose is to strengthen implementation quality and impact. It includes a wide range of methods and approaches to identify and address implementation bottlenecks; means to identify, evaluate, and scale up implementation innovations; and strategies to enhance the utilization of existing knowledge, tools, and frameworks based on the evolving science of implementation. The ISN framework recognizes that quality implementation requires alignment across 5 domains: the intervention, policy, or innovation being implemented; the implementing organization(s); the enabling environment of policies and stakeholders; the individuals, households, and communities of interest; and the strategies and decision processes used at various stages of the implementation process. The success of aligning these domains through implementation research requires a culture of inquiry, evaluation, learning, and response among program implementers; an action-oriented mission among the research partners; continuity of funding for implementation research; and resolving inherent tensions between program implementation and research. The Society for Implementation Science in Nutrition is a recently established membership society to advance the science and practice of nutrition implementation at various scales and in varied contexts.

Project description:ObjectivesThe purpose of this scoping review is to provide a synthesis of the available literature on implementation science in critical care settings. Specifically, we aimed to identify the evidence-based practices selected for implementation, the frequency and type of implementation strategies used to foster change, and the process and clinical outcomes associated with implementation.Data sourcesA librarian-assisted search was performed using three electronic databases.Study selectionArticles that reported outcomes aimed at disseminating, implementing, or sustaining an evidence-based intervention or practice, used established implementation strategies, and were conducted in a critical care unit were included.Data extractionTwo reviewers independently screened titles, abstracts, and full text of articles to determine eligibility. Data extraction was performed using customized fields established a priori within a systematic review software system.Data synthesisOf 1,707 citations, 82 met eligibility criteria. Studies included prospective research investigations, quality improvement projects, and implementation science trials. The most common practices investigated were use of a ventilator-associated pneumonia bundle, nutritional support protocols, and the Awakening and Breathing Coordination, Delirium Monitoring/Management, and Early Exercise/Mobility bundle. A variety of implementation strategies were used to facilitate evidence adoption, most commonly educational meetings, auditing and feedback, developing tools, and use of local opinion leaders. The majority of studies (76/82, 93%) reported using more than one implementation strategy. Few studies specifically used implementation science designs and frameworks to systematically evaluate both implementation and clinical outcomes.ConclusionsThe field of critical care has experienced slow but steady gains in the number of investigations specifically guided by implementation science. However, given the exponential growth of evidence-based practices and guidelines in this same period, much work remains to critically evaluate the most effective mechanisms to integrate and sustain these practices across diverse critical care settings and teams.

Dataset Information

The Application of Systems Science in Nutrition-Related Behaviors and Outcomes Implementation Research: A Scoping Review.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets