11. Who is in charge? Introducing criteria to evaluate health human resource (HHR) policy documents

2007 ◽  
Vol 30 (4) ◽  
pp. 33
Author(s):  
D. Rosenfield ◽  
C. Abrahams ◽  
S. Verma

The maldistribution of and lack of access to health professionals continues to be a major issue for policymakers at all levels of government. Additionally, the basis by which Health Human Resource (HHR) policy is determined is unclear. Publications found in independent reports, peer-reviewed journals and most importantly, grey literature, can significantly influence or inform major policy decisions for “hot button” HHR issues (1) . We propose a framework that can be used to classify, rank and evaluate HHR policy/planning documents. Our framework creates six major criteria that are used to evaluate policy documents. These criteria are: 1) literature review, 2) source of primary information, 3) nature of recommendations, 4) implementation strategies, 5) credibility of authors and 6) credibility of publisher. Within each category, a score from zero to three (for criteria 1-4) or zero to two (criteria 5-6) is assigned, depending on the caliber of the document. Summing the scores from each section yields a document’s overall score. The intent of this measure is two-fold. Firstly, we want to create a tool that can be widely utilized by policymakers to help inform their decisions. Secondly, it can be used as a springboard to stimulate discussion and debate around HHR planning and policy formulation. National Information Center on Health Services Research and Health Care Technology. (NICHSR) Health Services Research and Health Policy Grey Literature Project: Summary Report. 2006. http://www.nlm.nih.gov/ nichsr/greylitreport_06.html. Accessed February 20, 2007.

2019 ◽  
Author(s):  
Jawad Ahmed Chishtie ◽  
Jessica Babineau ◽  
Iwona Anna Bielska ◽  
Monica Cepoiu-Martin ◽  
Michael Irvine ◽  
...  

BACKGROUND Visual analytics (VA) promotes the understanding of data using visual, interactive techniques and using analytic and visual engines. The analytic engine includes machine learning and other automated techniques, whereas common visual outputs include flow maps and spatiotemporal hotspots for studying service gaps and disease distribution. The principal objective of this scoping review is to examine the state of science on VA and the various tools, strategies, and frameworks used in population health and health services research (HSR). OBJECTIVE The purpose of this scoping review is to develop an overarching global view of established techniques, frameworks, and methods of VA in population health and HSR. The main objectives are to explore, map, and synthesize the literature related to VA in its application to the two main focus areas of health care. METHODS We will use established scoping review methods to meet the study objective. As the use of the term visual analytics is inconsistent, one of the major challenges was operationalizing the concepts for developing the search strategy, based on the three main concepts of population health, HSR, and VA. We included peer reviewed and grey literature sources from 2005 till March 2019 in the search. Independent teams of researchers will screen the titles, abstracts and full text articles, whereas an independent researcher will arbiter conflicts. Data will be abstracted and presented using the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews checklist and explanation by two independent researchers. RESULTS As of late August 2019, the scoping review is in the full-text screening stage. Data synthesis will follow and the first results are expected to be submitted for publication in December 2019. In this protocol, the methods for undertaking this scoping review are detailed. We present how we operationalized the varied concepts of population health, health services, and VA. The main results of the scoping review will synthesize peer reviewed and grey literature sources on the main methods of VA in the interrelated fields of population health and health services research from January 2005 till March 2019. CONCLUSIONS VA is being increasingly used and integrated with emerging technologies to support decision making using large data sets. This scoping review of the VA tools, strategies, and frameworks applied to population health and health services aims to increase awareness of this approach for uptake by decision makers working within and toward developing learning health systems globally. CLINICALTRIAL Not applicable. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/14019


10.2196/14019 ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. e14019 ◽  
Author(s):  
Jawad Ahmed Chishtie ◽  
Jessica Babineau ◽  
Iwona Anna Bielska ◽  
Monica Cepoiu-Martin ◽  
Michael Irvine ◽  
...  

Background Visual analytics (VA) promotes the understanding of data using visual, interactive techniques and using analytic and visual engines. The analytic engine includes machine learning and other automated techniques, whereas common visual outputs include flow maps and spatiotemporal hotspots for studying service gaps and disease distribution. The principal objective of this scoping review is to examine the state of science on VA and the various tools, strategies, and frameworks used in population health and health services research (HSR). Objective The purpose of this scoping review is to develop an overarching global view of established techniques, frameworks, and methods of VA in population health and HSR. The main objectives are to explore, map, and synthesize the literature related to VA in its application to the two main focus areas of health care. Methods We will use established scoping review methods to meet the study objective. As the use of the term visual analytics is inconsistent, one of the major challenges was operationalizing the concepts for developing the search strategy, based on the three main concepts of population health, HSR, and VA. We included peer reviewed and grey literature sources from 2005 till March 2019 in the search. Independent teams of researchers will screen the titles, abstracts and full text articles, whereas an independent researcher will arbiter conflicts. Data will be abstracted and presented using the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews checklist and explanation by two independent researchers. Results As of late August 2019, the scoping review is in the full-text screening stage. Data synthesis will follow and the first results are expected to be submitted for publication in December 2019. In this protocol, the methods for undertaking this scoping review are detailed. We present how we operationalized the varied concepts of population health, health services, and VA. The main results of the scoping review will synthesize peer reviewed and grey literature sources on the main methods of VA in the interrelated fields of population health and health services research from January 2005 till March 2019. Conclusions VA is being increasingly used and integrated with emerging technologies to support decision making using large data sets. This scoping review of the VA tools, strategies, and frameworks applied to population health and health services aims to increase awareness of this approach for uptake by decision makers working within and toward developing learning health systems globally. International Registered Report Identifier (IRRID) DERR1-10.2196/14019


2005 ◽  
Author(s):  
Ruth Elwood Martin ◽  
Greg Hislop ◽  
Veronika Moravan ◽  
Garry Grams ◽  
Betty Calam

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