Overview
Our team will conduct a scoping review of the academic and grey literature with the aim of describing how healthcare governance policies have been evaluated. The proposed review will identify different evaluative practices, knowledge gaps, and provide future research directions. The scoping review is informed by Joanna Briggs Institute guidelines [15] and the Arksey and O’Malley framework [16]. Results will be reported narratively and using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) [17–19]. We will search several databases (unconstrained by geography or timeframe), identify the volume and breadth of the relevant literature, assess and map healthcare governance evaluation strategies, and from this collective knowledge suggest future research directions.
Eligibility criteria
Participants
The proposed scoping review will not use participant details (e.g., target population) as the basis for study selection. In place of participants, we will consider studies and other literature sources that describe how governance-level healthcare policies are assessed.
Concepts
The main concept of interest for this scoping review is evaluation (assessment, measurement) methodology applied to the policy cycle in healthcare governance.
Context
The context will be global. Documents will not be limited by geography or time period. We will only include literature if it directly evaluates governance-level healthcare policies (e.g., direct or authorize health service delivery).
Types of sources
The review will include any published academic or grey literature that evaluates, as the primary objective, healthcare governance-level policies. Studies that solely evaluate operational or clinical policies (e.g., standards of practice) will be excluded. Prospective studies not yet completed, commentaries, recommendations, editorials, guidelines, conference abstracts, and other literature that do not directly evaluate healthcare governance policies will be excluded. Only studies published in English will be included.
Search strategy
A health services librarian worked with the core research team to develop and execute a search strategy in Medline. The librarian then adapted the Medline search to other databases. The search strategy was peer-reviewed by another librarian using the Peer Review of Electronic Search Strategy (PRESS) checklist [19]. The search strategy included the National Library of Medicine’s Medical Subject Headings (MeSH) terms, keywords, and adjectives (two degrees of separation) related to evaluation, monitoring, policy and governance such as “Evaluation Studies as Topic, Health Policy and Health Care Reform” (see Table 1). We applied a filter to exclude animal studies. Additionally, records that were non-English, commentaries, editorials, guidelines and letters were excluded.
Table 1
Search strategy in Medline electronic database
Date
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Database
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Keywords
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Search results
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26/08/2020
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Medline
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• Line 1: ((evaluat* or assess or effect*3 or assessment or feedback* or apprais* or directive* or mandat* or strateg*) adj2 (report or research or qualitative or index or indexes or methodolog*)).ti,kf.
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11,385
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• Line 2: (monitor? or monitored or monitoring).ti,kw.
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• Line 3: Evaluation Studies as Topic/ or Health Care Evaluation Mechanisms
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• Line 4: cost-benefit analysis/ or cost-benefit*.ti,kw
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• Line 5: (policy or policies or legislation or regulation or legislate* or regulate* or mandat*).ti,kw
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• Line 6: (policy or policies).ab. /freq = 2
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• Line 7: public policy/ or health policy
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• Line 8: (government* or governance or governed or governing or govern).tw,kw
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• Line 9: health care reform/ or international health regulations
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• Line 10: or/1–4 [Evaluating and Monitoring]
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• Line 11: or/5–7 [Policy]
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• Line 12: or/8–9 [Governance]
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• Line 13: 10 and 11 and 12
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• Line 14: limit 13 to english language
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• Line 15: limit 14 to (comment or editorial or guideline or letter or practice guideline)
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• Line 16: 14 not 15
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• Line 17: 16 not (exp animals/ not humans.sh.)
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Information sources
A search for evidence will be completed in the following electronic databases: Ageline (EBSCOhost; 1978–2020), CINAHL with Full Text (EBSCOhost; 1981–2020), EconLIT (EBSCOhost; 1886–2020), Medline (Ovid; 1946–2020), Global Health (Ovid; 1973–2020) and Scopus (1970–2020). Our grey literature search will look for reports and theses from a variety of different resources including Public Documents (desLibris), Theses & Dissertations (ProQuest) and Google Advanced Search.
Study selection
All identified studies will be uploaded into EndNote V9.1 (Clarivate Analytics, PA, USA) and Rayyan (Qatar Computing Research Institute, Doha, Qatar) [20]; duplicates will be removed. All titles and abstracts will be screened against the predefined inclusion and exclusion criteria to identify potentially relevant papers. All titles and abstracts will be screened independently and in duplicate by two research assistants (RAs) using Rayyan. Three steps are planned to ensure that Title and Abstract Screening occurs in a rigorous manner. First, a pilot with 40–60 title and abstracts will be completed by three team members to test the screening tool; team members will discuss their decisions and reach consensus regarding the final inclusion / exclusion criteria. Second, a document and training process will be developed for the two RAs. As part of the training, RAs will independently screen the same (40–60) titles and abstracts completed by the team. Disagreements will be resolved through group discussion. Third, following this initial training, the two RAs will screen 50–100 new title and abstracts and then meet with primary investigator (PI) to review and discuss results. Given the complexity of the topic, several meetings are expected to ensure accuracy and consistency of screening. Title and abstracts will be labeled as “include”, “exclude” or “maybe”; any identified as “maybe” will be reviewed by PI.
Erring on the side of over-inclusion is preferred during title and abstract screening; hence all papers identified as relevant (“include”) in this stage by at least one of the RAs will be included in the second (“full-text review”) stage (i.e., no consensus finding is needed). All studies meeting inclusion criteria during the title and abstract process will be uploaded to Covidence systematic review software (Veritas Health Innovation, Melbourne, Australia). Electronic copies of full documents will be obtained for full-text screening; if there is no full text available, at least one attempt will be made to locate the document from another institution. Full-text screening will be completed in duplicate by RAs. Reasons for exclusion will be documented and PI will review the full-text results to ensure accuracy. We will document the number of potential studies identified, the number of abstracts and full-text articles reviewed, and the number of studies eliminated at each stage of the selection process. The results of the search and the study selection process will be reported narratively and using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) [17, 18].
Data extraction
A data extraction form will be developed iteratively by the study team (see Table 2 for an example). The goal of the proposed scoping review is to extract information to understand the nature and context of the governance policy (e.g., description of policy, target population), the approach (e.g., variables of interest, sources of data) to evaluating the policy, and any potential learnings (e.g., challenges, opportunities) to support future evaluations of healthcare governance. Five to ten articles will be selected to pilot, discuss, and amend the draft form. Once the data extraction form has been finalized, two team members will independently extract data from each article. Any disagreements will be discussed and resolved through consensus.
Table 2
Author(s)
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Year of publication
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Country / Region
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Type of literature
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Name / description of governance policy
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Target population(s) of governance policy
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Variable(s) used to assess governance policy
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Source(s) of data in the assessment of governance policy
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Limitations of the data (if provided)
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Data analysis and presentation
Studies will be organized based on country or region, variable(s) measured, and source(s) of data. The data extracted will be content analyzed generating themes as well as categories regarding evaluation approaches, processes and content. The results will be presented in a summary addressing the review objectives as well as where knowledge gaps remain. Diagrammatic figures of the study selection process and data extraction will be included. This overview describing approaches to assessment of diverse topics covered by governance-level health policies aims to inform and support the development of an evaluation framework to be used by health researchers and policy workers with the overarching goal of promoting evidence-informed governance.