| Literature DB >> 29433543 |
Andrea C Tricco1,2, Wasifa Zarin3, Patricia Rios3, Vera Nincic3, Paul A Khan3, Marco Ghassemi3, Sanober Diaz3, Ba' Pham3, Sharon E Straus4, Etienne V Langlois5.
Abstract
BACKGROUND: It is unclear how to engage a wide range of knowledge users in research. We aimed to map the evidence on engaging knowledge users with an emphasis on policy-makers, health system managers, and policy analysts in the knowledge synthesis process through a scoping review.Entities:
Keywords: Engagement; Health policy; Health system; Knowledge synthesis; Knowledge translation; Knowledge user; Policy-maker; Policy-relevant; Stakeholder
Mesh:
Year: 2018 PMID: 29433543 PMCID: PMC5809959 DOI: 10.1186/s13012-018-0717-x
Source DB: PubMed Journal: Implement Sci ISSN: 1748-5908 Impact factor: 7.327
Fig. 1.PRISMA flow diagram
Document characteristics
| Document characteristics ( | Count (%) | |
|---|---|---|
| Year of publication | 2005–2007 | 6 (7.1%) |
| 2008–2010 | 16 (19.0%) | |
| 2011–2013 | 30 (35.7%) | |
| 2014–2016 | 32 (38.1%) | |
| Geographic region | Africa | 4 (4.8%) |
| Asia | 4 (4.8%) | |
| Australia & New Zealand | 11 (13.1%) | |
| Europe | 20 (23.8%) | |
| North America | 45 (53.6%) | |
| Funding source type | Industry-sponsored | 2 (2.4%) |
| Non-sponsored | 3 (3.6%) | |
| Not reported | 13 (15.5%) | |
| Public-sponsored | 66 (78.6%) | |
| Journal discipline | General & Internal Medicine | 4 (4.8%) |
| Not applicable (reports) | 6 (7.1%) | |
| Medicine, General & Internal | 6 (7.1%) | |
| Health Policy & Services | 7 (8.3%) | |
| Public, Environmental & Occupational Health | 14 (16.7%) | |
| Other | 21 (25.0%) | |
| Health Care Sciences & Services | 26 (31.0%) | |
| Knowledge synthesis method | Qualitative review | 1 (1.2%) |
| Critical Interpretive Synthesis | 1 (1.2%) | |
| Mixed-method review | 1 (1.2%) | |
| Health Technology Assessment | 1 (1.2%) | |
| Scoping Review & Systematic Review | 1 (1.2%) | |
| Horizontal scan | 1 (1.2%) | |
| Rapid Realist Review | 2 (2.4%) | |
| Overview of Reviews | 3 (3.6%) | |
| Realist Review | 5 (6.0%) | |
| Rapid Review | 10 (11.9%) | |
| Scoping Review | 12 (14.3%) | |
| Literature review | 16 (19.0%) | |
| Systematic review | 30 (35.7%) | |
| Article type | Methodology paper | 3 (3.6%) |
| Descriptive paper | 8 (9.5%) | |
| Application paper | 73 (86.9%) | |
Fig. 2.Choropleth of document distribution by geographic region
Contextual factors
| Contextual factors ( | Count (%) | |
|---|---|---|
| Settings | European Union Healthcare Systems | 1 (1.2%) |
| Community Health | 2 (2.4%) | |
| National Public Health | 2 (2.4%) | |
| Local hospital | 2 (2.4%) | |
| Global health | 3 (3.6%) | |
| Health network | 4 (4.8%) | |
| Provincial/state healthcare system | 4 (4.8%) | |
| Various policy settings | 5 (6.0%) | |
| Local healthcare system | 5 (6.0%) | |
| Applied research setting | 16 (19.0%) | |
| National healthcare system | 40 (47.6%) | |
| Focus of knowledge synthesis | Health economics | 1 (1.2%) |
| Research reporting guideline | 1 (1.2%) | |
| Health informatics | 1 (1.2%) | |
| Emergency preparedness and management | 1 (1.2%) | |
| Community engagement | 1 (1.2%) | |
| Clinical practice guidelines | 3 (3.6%) | |
| Medical intervention | 3 (3.6%) | |
| Environmental/social determinants of health | 3 (3.6%) | |
| Quality indicators | 3 (3.6%) | |
| Health policy | 4 (4.8%) | |
| Decision-aid tool | 4 (4.8%) | |
| Research priority setting | 5 (6.0%) | |
| Health human resources | 8 (9.5%) | |
| Stakeholder engagement strategy in research | 9 (10.7%) | |
| Public health | 10 (11.9%) | |
| Knowledge translation | 13 (15.5%) | |
| Health services delivery | 14 (16.7%) | |
| Country economy | High-income country | 72 (85.7%) |
| Low- and middle-income country | 10 (11.9%) | |
| Middle and high income | 1 (1.2%) | |
| Low, middle, and high income | 1 (1.2%) |
Papers of knowledge user engagement in knowledge synthesis from LMICs
| Author, year; country | Country income status, Context | Type of knowledge users involved | Type of engagement | Challenges to engagement | Benefits of engagement | Outcomes of engagement |
|---|---|---|---|---|---|---|
| Agweyu 2012 [ | Middle-income, National healthcare system | • Policy-makers | • Consultation with key informants | • Limited resources and an absence of mechanisms to rapidly gain wider opinions from key sources including patients, caregivers and policy-makers | Not reported | Not reported |
| Akl 2016 [ | Middle-income, Applied research settings | • Policy-makers | • Consultation with key informants | Not reported | • A multidisciplinary team developed and validated the tool | Not reported |
| Buchan 2011 [ | Middle-income, National healthcare system | • Policy-makers | • Key informant interviews | • Time and resource limitations meant that only some of the key individuals who were informants on the issue could be consulted | • Key informants provided additional reports and grey literature for review and provided contextual evidence | Not reported |
| Clarke 2016 [ | Middle-income, National healthcare system | • Healthcare professionals & organizations | • Key informant interviews, focus groups and surveys | Not reported | Not reported | Not reported |
| Higashi 2011 [ | Middle-income, | • Government agencies | • Key informant interviews, focus groups and surveys | Not reported | Not reported | Not reported |
| Muller 2005 [ | Middle-income, National healthcare system | • Government agencies | • Consultations with principal knowledge users | Not reported | Not reported | Not reported |
| Orem 2012 [ | Low-income, Various policy settings | • Policy-makers | • Key informant interviews | • Finding key informants with relevant interest in a given policy concern | • Key informant interviews with policy-makers provided contextual considerations for knowledge synthesis and subsequent translation | Not reported |
| Sidibe 2014 [ | Middle-income, National healthcare system | • Community members & advocates | • Formal meeting/workshop with key informants | Not reported | Not reported | Not reported |
| Teerawattananon 2016 [ | Middle-income, National healthcare system | • Funding bodies | • In-person Delphi with expert panel | • Stakeholder topic expertise can limit the scope of the discussion | • Stakeholders can help prioritize research topics for assessment, help fine-tune research questions and the scope of study, and verify and validate preliminary results as well as fine-tune policy recommendations | Not reported |
| Wiysonge 2012 [ | Middle-income, National healthcare system | • Health system managers | • Key informant interviews | Not reported | • Key informant interviews helped define the review scope and helped ensure the report addresses relevant practice issues | Not reported |
Methodology papers of knowledge user engagement in knowledge synthesis
| Article, Year; Country | Country income status, Context | Information source | Type of engagement | Challenges to engagement | Factors for successful engagements |
|---|---|---|---|---|---|
| Cottrell 2014 [ | High-income, Applied research settings | 24 articles, 34 Key informant interviews | Wide variety | • Additional time and resources | • Engage stakeholders early in the process to establish credibility |
| Guise 2013 [ | Low, middle and high income, Applied research settings | 56 articles, 13 Key informant interviews | • One-on-one interviews | • Lack of time on the part of stakeholders (busy) | • Engage stakeholders early in the process |
| Oliver 2016 [ | High-income, Various policy settings | 18 Key informant interviews | • Knowledge broker to facilitate conversations | • Lack of knowledge and understanding between researchers and policy-makers | • Engage stakeholders early in the process |
Descriptive papers of knowledge user engagement in knowledge synthesis
| Author, Year, Country | Country income group, Context | Type of knowledge users involved | Type of engagement | Challenges to engagement | Benefits of engagement | Outcomes of engagement |
|---|---|---|---|---|---|---|
| Atkins 2005 [ | High-income, National healthcare system | • Policy-makers | • Consultation with expert panel | • Establishing early buy-in | • Early involvement in the research process can ensure the report addresses relevant clinical or policy issues | Not reported |
| Best 2009 [ | High-income, Various levels of government decision-makers | • Policy-makers | • Consultation with principal knowledge users and expert panel | Not reported | Not reported | Participating content experts and decision-makers have been highly satisfied. (Not formally evaluated) |
| Crawford 2015 [ | High-income, Various levels of government decision-makers | • Healthcare professionals & organizations | • Consultation with Steering group | Not reported | • Involving stakeholders ensures research focus stays relevant to the end-user | Not reported |
| Keown 2008 [ | High-income, Various levels of government decision-makers | • Community members & advocates | • Consultation with key informants throughout he review | • Balancing methodological rigor with flexibility to stakeholder needs | • Stakeholders’ input added depth to the review | The stakeholder engagement experience has been positive (not formally evaluated) |
| Khangura 2012 [ | High-income, Local healthcare system | • Health system managers | • Consultation with principal knowledge users | Not reported | Not reported | Not reported |
| McIntosh 2016 [ | High-income, National healthcare system | • Government agencies | • Consultation with principal knowledge users and expert panel | • Requires development of efficient and flexible methods to identify and engage appropriate contributors | Not reported | Upon completion, action review methods are used to solicit feedback from the topic referrer on whether review met expectations and what impact the evidence review and advice had. Surveys and semi-structured interviews conducted to explore perceptions of the utility and impact of rapid review-based advice among key decision-makers, including directors of finance, planning, public health and medicine |
| Mindell 2010 [ | High-income, Local healthcare system | • Government agencies | • Consultation with steering group | Not reported | Not reported | Not reported |
| Saul 2013 [ | High-income, Various levels of government decision-makers | • Policy-makers | • Consultation with principal knowledge users | • Maintaining on-going membership and engagement in rapidly changing political environments where membership of the advisory group may change during the course of a given project | • Advisory group role allows key agency or government staff to be engaged in the process without requiring excessive time commitments | Not reported |
Fig. 3.Types of knowledge users
Fig. 4.Distribution of knowledge user engagement by steps in the knowledge synthesis process
Fig. 5.Engagement strategy framework
Fig. 6.Frequency of engagement
Barriers and facilitators to engagement
| Factors reported in 31 papers | Seen as a facilitator | Seen as a barrier |
|---|---|---|
| Count (%) | Count (%) | |
| Available resources (e.g., personnel, material) | 0 (0.0%) | 2 (2.4%) |
| Capacity and established methods for engagement | 3 (3.6%) | 1 (1.2%) |
| Clear expectations and responsibilities | 3 (3.6%) | 1 (1.2%) |
| Contact with knowledge users | 2 (2.4%) | 1 (1.2%) |
| Differing values | 1 (1.2%) | 0 (0.0%) |
| Establishment of partnership early in the research process | 7 (8.3%) | 0 (0.0%) |
| Establishment of unbiased consensus | 1 (1.2%) | 2 (2.4%) |
| Forums for interaction | 6 (7.1%) | 1 (1.2%) |
| Geographic distance | 0 (0.0%) | 1 (1.2%) |
| Ongoing collaboration with partners | 4 (4.8%) | 0 (0.0%) |
| Knowledge user research skills | 1 (1.2%) | 1 (1.2%) |
| Knowledge user topic expertise/awareness |
| 5 (6.0%) |
| Relationship with knowledge users | 2 (2.4%) | 0 (0.0%) |
| Timing and opportunity | 3 (3.6%) |
|
| Training/mentoring of researchers and knowledge users | 2 (2.4%) | 0 (0.0%) |
| Willingness to participate | 1 (1.2%) | 2 (2.4%) |