The GuideLine Implementability Appraisal (GLIA): development of an instrument to identify obstacles to guideline implementation
© Shiffman et al; licensee BioMed Central Ltd. 2005
Received: 28 February 2005
Accepted: 27 July 2005
Published: 27 July 2005
Clinical practice guidelines are not uniformly successful in influencing clinicians' behaviour toward best practices. Implementability refers to a set of characteristics that predict ease of (and obstacles to) guideline implementation. Our objective is to develop and validate a tool for appraisal of implementability of clinical guidelines.
Indicators of implementability were identified from the literature and used to create items and dimensions of the GuideLine Implementability Appraisal (GLIA). GLIA consists of 31 items, arranged into 10 dimensions. Questions from 9 of the 10 dimensions are applied individually to each recommendation of the guideline. Decidability and Executability are critical dimensions. Other dimensions are Global, Presentation and Formatting, Measurable Outcomes, Apparent Validity, Flexibility, Effect on Process of Care, Novelty/Innovation, and Computability. We conducted a series of validation activities, including validation of the construct of implementability, expert review of content for clarity, relevance, and comprehensiveness, and assessment of construct validity of the instrument. Finally, GLIA was applied to a draft guideline under development by national professional societies.
Evidence of content validity and preliminary support for construct validity were obtained. The GLIA proved to be useful in identifying barriers to implementation in the draft guideline and the guideline was revised accordingly.
GLIA may be useful to guideline developers who can apply the results to remedy defects in their guidelines. Likewise, guideline implementers may use GLIA to select implementable recommendations and to devise implementation strategies that address identified barriers. By aiding the design and operationalization of highly implementable guidelines, our goal is that application of GLIA may help to improve health outcomes, but further evaluation will be required to support this potential benefit.
Tremendous resources have been invested in the development and implementation of clinical practice guidelines over the past 15 years [1–3]. In spite of these efforts, however, guidelines are not uniformly successful in improving care and several instances of implementation failure have been described, some resulting in substantial waste of time and resources [4–6]. In many cases, implementation failures have been related to factors extrinsic to the guideline itself – e.g., organizational and provider-specific obstacles inherent in a particular system of care that interfere with implementation success. In other cases, however, factors intrinsic to the guideline have contributed to implementation failure, e.g., ambiguity, inconsistency, and incompleteness [7, 8]. We believe it is particularly important to identify these intrinsic factors, because in many cases they can be ameliorated or fully remedied by guideline authors while the guideline is being developed. If these problems are not captured during guideline development, they must be addressed during implementation.
Guideline implementation involves "the concrete activities and interventions undertaken to turn policies into desired results" . We define implementability to refer to a set of characteristics that predict the relative ease of implementation of guideline recommendations. Measures of successful implementation include improved adherence to guideline-prescribed processes of care and, ultimately, improved patient outcomes. Indicators of implementability, on the other hand, focus on the ease and accuracy of translation of guideline advice into systems that influence care. In this paper, we describe a tool for appraisal of implementability that is intended to help anticipate barriers to implementation success. We first delineate the process by which indicators of implementability were chosen. Then we describe the steps we took in the preliminary validation of the evolving instrument and show an example of its application. Finally, we discuss how the instrument might be used in practice.
The first step in the measurement of implementability was to define its attributes. From a broad-based literature search, we identified several key papers and book chapters that describe the impact of a variety of factors on success of implementation. The report from the Institute of Medicine  included general definitions and several high level constructs relevant to implementation. Thorsen and Mäkelä  described critical factors in implementation strategy that facilitate use of guidelines and overcome barriers to adoption. Solberg et al. asked expert implementers about implementation success factors and identified 83 variables grouped into 5 clusters . Applying diffusion of innovation theory, Grilli and Lomas identified guideline complexity, trialability, and observability as critical factors for successful implementation . Grol and colleagues found that vagueness, controversy, demand for a change in routines, and absence of an evidence-base differentiated guidelines that were not followed from those that were . Finally, we examined 3 instruments for appraisal of guideline quality – Cluzeau's 37-item instrument , the AGREE instrument , and Shaneyfelt's Guideline Quality Appraisal Questionnaire – and extracted factors from each that addressed implementability.
The authors eliminated redundant factors, i.e., those that appeared in several sources or represented concepts that were subsumed by others, through open discussion and consensus. Factors that indicated guideline quality but not implementability were excluded. We decided early on to focus the GLIA on factors that were intrinsic to the guideline, because they could be addressed centrally by a guideline development committee. Thus, we eliminated many factors related to Solberg's medical group characteristics, organizational capability for change, infrastructure for implementation, and external environment. Extrinsic items relating to a recommendation's effect on the process of care and items relating to the novelty or innovation of a guideline statement were retained in the instrument because developers can anticipate these barriers and offer potential strategies for implementation success.
All remaining factors were grouped into categories of related constructs, hereafter referred to as dimensions. We then devised specific questions to characterize each dimension and phrased them so that negative responses identified barriers. These questions ultimately became items of the instrument. We iteratively refined the items, further clarified definitions, and re-categorized items into the most appropriate dimensions.
Summary of validation activities.
Purpose or Validity Type
Ranking of implementability of 3 recommendations by experts at COGS
Validity of the construct of implementability
Guideline review with early GLIA versions
To refine GLIA
Demonstrate feasibility of measurement of implementability
Expert review of GLIA items and dimensions by HL7 experts
Content validity of GLIA
GLIA items rated generally as relevant and clear. Two new items were added, definitions were clarified, and explanatory material was added.
Review of the recommendations ranked in Step 1
Construct validity of GLIA
GLIA assessment of these three guidelines was consistent with experts' rankings of implementability (Step 1). Barriers to implementation were explicitly identified.
GLIA response options.
The recommendation meets this criterion fully.
The recommendation does not meet this criterion.
Rater is unable to address this question because of insufficient knowledge or experience in this area.
Criterion is not applicable to this recommendation.
Step 1: Evaluation of implementability as a concept that is understood by experts
In April 2002, the Conference on Guideline Standardization (COGS) brought together 23 national and international leaders in guideline development, dissemination and implementation . This gathering provided the opportunity to explore the concept of implementability. We selected 3 recommendations for review by the experts based on the following criteria:
• Each recommendation concerned a common clinical problem generally understood by the attendees.
• The three recommendations as a group represented a broad range of implementation challenges.
Using our own global subjective judgment of implementability, one of the recommendations was considered to be straightforward to implement, another was considered to be quite difficult, and the remaining recommendation was considered to occupy an intermediate position. The recommendations we selected concerned: aspirin therapy in management of acute myocardial infarction , diagnosis of urinary tract infection in young children with unexplained fever , and evaluation of unexplained syncope .
Divided into 2 groups (10 individuals with considerable experience in guideline implementation in one group, 11 individuals experienced in guideline development and dissemination in the other), participants were asked to rank the relative implementability of the guideline recommendations. After discussion, each group came to a consensus ranking of the three recommendations' implementability. These rankings were consistent between the two groups and also with the authors' expectation. Both groups agreed that the aspirin recommendation would be easiest to implement and the syncope algorithm would be most challenging.
This step provided support for our basic assumption that the construct of implementability is real. Moreover, implementability varies among recommendations in a way that can be systematically recognized by experts.
Step 2- Initial guideline review with early GLIA versions
The authors next tested an early version of GLIA with a convenience sample of 20 guideline recommendations. These reviews provided our first experience using the GLIA in practice and led us to identify areas of rating controversy. Early attempts to apply a simple numeric scoring system failed because all the items were not of equal importance. In addition, we recognized the advantage of qualitative rating in understanding specific barriers to implementation. We appreciated the importance of including a variety of expertise among members of the GLIA team. This experience led to refinement of the instrument, as well as to a deeper understanding of the optimal process for conducting a review using GLIA.
The 20 replications of our process seemed quite adequate to provide us with assurance that creating an instrument to assess implementability was a feasible goal. They also gave us a view of the problems still to be addressed.
Step 3 - content validation: Expert review of GLIA items and dimensions
To investigate the content validity of the draft GLIA, we systematically examined each item's clarity, its relevance to its superordinate dimension, and the comprehensiveness of the GLIA as a whole . We prepared a Questionnaire for Expert Review on which relevance and clarity ratings were scored on a four point scale, with higher numbers representing greater relevance and greater clarity. We distributed the Questionnaire to volunteers attending a Workgroup Meeting of the HL7 Special Interest Group (SIG) on Clinical Guidelines. The SIG includes representatives from academia, vendors of electronic health record software, and healthcare providers, who meet three times each year to discuss standardization of guideline components.
Judgments about the GLIA were obtained from 7 guideline implementers. Mean relevancy ratings by item ranged from 2.7 to 4.0. On average, 26 of 30 items were rated as "moderately" or "highly relevant." No reviewer used a relevancy rating of 1 ("not at all relevant") for any item.
Mean clarity ratings by item ranged from 2.3 to 4.0. On average, 29 of 30 items were rated as "clear" or "very clear." The correlation of relevancy ratings and clarity ratings by item was .23 (non-significant), indicating that the two ratings of each item provided different information.
Raters were also asked for suggestions about the items and numerous comments were provided. Based on this feedback from implementers, GLIA was again revised. Items that received low clarity or relevance scores were carefully reviewed, definitions were clarified, and explanatory material was added to better communicate the meaning of the item. Based on suggestions from the reviewers, two new items that explored recommendation sequencing and the internal consistency of the guideline were added to the Global dimension.
This process of obtaining judgment data from implementers proved to be a rich source of ideas for refinement of items. It also provided supportive evidence for the general content validity of the developing instrument.
Step 4 -Review of ranked recommendations
Next, we used GLIA to formally assess the three recommendations whose implementability had been ranked previously by experts at the COGS Meeting (described above in Step 1). Results using GLIA were consistent with the earlier expert rankings, i.e., more critical implementation barriers were identified in the recommendation ranked least implementable and no barriers were identified in the recommendation ranked most implementable. Moreover, appraisal with GLIA allowed us to itemize specific obstacles, thereby clarifying particular impediments to implementation in contrast to the global subjective evaluation performed in Step 1.
This finding of agreement with expert rankings indicated that GLIA results reflect the construct of implementability as conceptualized by experts. This consistency provided preliminary evidence that supports the construct validity of GLIA assessments.
Step 5 – Application to a draft guideline from the American Academy of Pediatrics
To assess the value of application of GLIA in a real world guideline development effort, we applied a late version of the appraisal to a draft clinical guideline for the management of otitis media with effusion (OME) that was in preparation by a joint committee of national professional societies – the American Academy of Pediatrics, the American Academy of Family Physicians, and the American Academy of Otolaryngology. We received an intermediate draft of the guideline for quality appraisal and evaluation of implementability.
After independently rating the draft guideline, we met as a group to discuss the barriers to implementation that we identified. While not every barrier was identified by every rater, no single barrier was uniquely identified. Remarkably little discussion was needed to reach a consensus on anticipated barriers to implementation.
Our report to the guideline authors identified several instances of problems with decidability and executability of individual recommendations. For example, the draft recommended, "During the initial assessment of the child with OME, the clinician should document (a detailed set of physical findings)" (italics added). The GLIA report drew attention to the fact that the guideline's users might not consistently determine when in the course of continuous care an assessment is initial. Adding to the confusion, the draft guideline text later states that these findings should be ascertained at every medical encounter. The recommendation that was ultimately published stated: "Clinicians should document (the physical findings) at each assessment of the child with OME." Vagueness was also inherent in use of the terms "academic risk", "when necessary", and "individualized management" without clear definitions. Following the GLIA report, each of these was clarified in the final guideline publication .
GLIA appraisal also identified extrinsic barriers to implementation that were reported to the Joint OME Implementation Committee of the professional societies. These barriers included:
• Recommendations to perform pneumatic otoscopy, tympanometry, hearing screening, and language assessment would require acquisition of new equipment and skills on the part of many physicians.
• Recommendations against prescription of antihistamines, decongestants, antimicrobials and corticosteroids for effusions may not be compatible with patient expectations.
The committee considered these potential barriers in their design of a guideline implementation strategy.
Many clinical guidelines – developed at substantial cost and effort – have proven to be difficult or impossible to operationalize. We developed the GuideLine Implementability Appraisal to facilitate guideline implementation. The instrument is designed to systematically highlight barriers to implementation.
The GLIA is intended to provide feedback about a guideline's implementability to two distinct audiences: the authors of the guideline and those individuals who choose guidelines for application within a health care delivery system. As a guideline is being developed, GLIA can provide feedback to guideline authors about potentially remediable defects. Developers may choose to make modifications to the guideline document before it is finalized and disseminated. Implementers can use GLIA to help select a guideline, to identify potential obstacles, and to target efforts toward addressing identified barriers. Thus, GLIA can be used to help select guidelines that are more easily implementable and also to devise implementation strategies that address identified barriers.
Two GLIA dimensions are of particular importance because failure to address them adequately will result in inconsistent implementation [23, 24]. Any recommendation that does not clearly communicate what to do (i.e., it fails executability criteria) or when to do it (i.e., fails decidability criteria) is not fully ready for implementation. If possible, guideline authors should revise such a recommendation before it is disseminated for implementation. If problems in decidability and executability are not corrected prior to dissemination, different implementers may well interpret the guideline authors' intent in a discordant manner.
GLIA incorporates an optional dimension – computability – to indicate the ease with which a recommendation might be operationalized in an electronic information system. Guideline implementation strategies – e.g., education, academic detailing, audit and feedback, administrative sanctions – need not necessarily involve computers . Because of the success of electronic implementations in influencing clinician behavior [26–28], the wide variation in electronic information systems, and the current lack of guidance regarding computability, these extrinsic considerations were retained in the instrument. Items in the computability dimension address the availability of data to trigger the recommendation, the level of specificity of the triggers and recommended actions, and whether there is a clear path from recommendation to electronic implementation.
Implementability must be differentiated from guideline quality. Quality assessments relate primarily to determining the scientific validity of guidelines and, generally, quality is assessed for the guideline as a whole. Implementability, on the other hand, is one component of guideline quality, but its assessment is applied largely to individual recommendations within a guideline.
In a comprehensive review of 13 tools for guideline quality appraisal, Graham  identified instruments developed by Cluzeau  and Shaneyfelt et al  as the best developed. Since that time, the AGREE Instrument  has emerged as the leading exemplar of guideline quality appraisal and it has been endorsed by the Guidelines International Network . Application of GLIA can complement quality appraisal in identifying guideline deficiencies. Several GLIA items overlap with items in the AGREE scale. However, to the best of our knowledge, GLIA is the only tool that emphasizes implementation concerns at the level of the individual recommendation.
Application of GLIA to measurement of decidability and executability requires that users translate guideline recommendations into statements comprising conditions and actions . Training and practice may be required to assure consistency of logical analysis.
Application of GLIA requires team effort and a consequent resource investment. The team that applies GLIA should include members with skills in guideline implementation as well as members with specific understanding of the clinical domain. Our experience has demonstrated that rating a guideline that contains 15 recommendations might require several hours of an individual's time. Additional time must be spent in resolving divergent ratings, although this effort usually yields an improved understanding of implementation issues. We are currently developing an electronic version of GLIA that will provide a more efficient means of rating, scoring, and reporting results.
During development, GLIA is best applied once evidence has been synthesized and draft recommendations have been formulated. When applied too late in the authoring process, GLIA may have limited impact because authors may have already become committed to recommendations as written and thus not open to making modifications. Assuring that guideline authors understand the importance of implementability early on may help to overcome premature commitment.
The classic challenge of instrument development is to arrive at the correct number of items to minimize burden and avoid redundancy, while including a sufficient number to be comprehensive. GLIA contains 7 global items that are applied once to each guideline, 20 items that are applied to each rated recommendation, and 4 optional items rating computability that are applicable when an electronic implementation is planned. Further use of GLIA is likely to result in clarification and perhaps modification of the number of items.
We have performed a series of activities to provide preliminary evidence of GLIA's validity. However, neither the inter-rater reliability of GLIA, the test-retest reliability, the factor structure of the dimensions, nor its predictive validity has yet been established. Plans for this testing are underway.
It should be noted that the authors performed the activities described as Step 4. Until verified by an independent panel, these results should be considered preliminary and subject to potential bias.
In addition, GLIA addresses primarily factors intrinsic to the guideline. It is clear that extrinsic factors are critical in a successful implementation. Future extensions to GLIA will help to identify extrinsic barriers to implementation.
The GuideLine Implementability Appraisal provides a tool designed to help developers and implementers better understand and anticipate barriers to successful implementation. By aiding the design and operationalization of highly implementable guidelines, our goal is that application of GLIA may help improve health outcomes. Demonstration of GLIA's effectiveness will require prospective testing.
The work was supported through grants R01-LM-07199, R29- LM05552, and T15-LM07065 from the U.S. National Library of Medicine and by R13 HS10962 from the Agency for Healthcare Research and Quality.
- Grimshaw JM, Thomas RE, MacLennan G, Fraser C, Ramsay CR, Vale L, Whitty P, Eccles MP, Matowe L, Shirran L, Wensing M, Dijkstra R, Donaldson C: Effectiveness and efficiency of guideline dissemination and implementation strategies. Health Technol Assess. 2004, 8 (6): 1-72. ReviewView ArticleGoogle Scholar
- Larson E: Status of practice guidelines in the United States: CDC guidelines as an example. [Review] [64 refs]. Preventive Medicine. 2003, 36 (5): 519-524. 10.1016/S0091-7435(03)00014-8.View ArticlePubMedGoogle Scholar
- Burgers JS, Grol R, Klazinga NS, Makela M, Zaat J, AGREE Collaboration: Towards evidence-based clinical practice: an international survey of 18 clinical guideline programs. Int J Qual Health Care. 2003, 15 (1): 31-45. 10.1093/intqhc/15.1.31.View ArticlePubMedGoogle Scholar
- Eccles M, McColl E, Steen N, Rousseau N, Grimshaw J, Parkin D: Effect of computerised evidence-based guidelines on management of asthma and angina in adults in primary care: cluster randomised controlled trial. BMJ. 2002, 325: 941-948. 10.1136/bmj.325.7370.941.View ArticlePubMedPubMed CentralGoogle Scholar
- Tierney WM, Overhage JM, Murray MD, Harris LE, Zhou XH, Eckert GJ, Smith FE, Nienaber N, McDonald CJ, Wolinsky FD: Effects of computerized guidelines for managing heart disease in primary care. J Gen Intern Med. 2003, 18 (12): 967-976. 10.1111/j.1525-1497.2003.30635.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Switzer GE, Halm EA, Chang CC, Mittman BS, Walsh MB, Fine MJ: Physician awareness and self-reported use of local and national guidelines for community-acquired pneumonia. J Gen Intern Med. 2003, 18 (10): 816-823. 10.1046/j.1525-1497.2003.20535.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Tierney WM, Overhage JM, Takesue BY, Harris LE, Murray MD, Vargo DL, McDonald CJ: Computerizing guidelines to improve care and patient outcomes: the example of heart failure. J Am Med Inform Assoc. 1995, 2: 316-322.View ArticlePubMedPubMed CentralGoogle Scholar
- Katz DA: Barriers between guidelines and improved patient care: an analysis of AHCPR's unstable angina clinical practice guideline. Health Serv Res. 1999, 34 (1): 377-389.PubMedPubMed CentralGoogle Scholar
- Institute of Medicine: Guidelines for clinical practice: from development to use. Edited by: Field MJ, Lohr KN. 1992, Washington, DC , National Academy PressGoogle Scholar
- Thorsen T, Mäkelä M: Changing professional practice: theory and practice of clinical guidelines implementation. 1999, Copenhagen , Danish Institute for Health Services Research and Development, 216-Google Scholar
- Solberg LI, Brekke ML, Fowles J, Jacobsen DN, Kottke TE, Mosser G, O'Connor PJ, Ohnsorg KA, Rolnick SJ: Lessons from experienced guideline implementers:attend to many factors and use multiple strategies. Jt Comm J Qual Improv. 2000, 26 (4): 171-188.PubMedGoogle Scholar
- Grilli R, Lomas J: Evaluating the message: the relationship betweenm the compliance rate and the subject of a practice guideline. Medical Care. 1994, 32: 202-213.View ArticlePubMedGoogle Scholar
- Grol R, Dalhuijsen J, Thomas S, Veld C, Rutten G, Mokkink H: Attributes of clinical guidelines that influence use of guidelines in general practice: observational study. BMJ. 1998, 317: 858-861.View ArticlePubMedPubMed CentralGoogle Scholar
- Cluzeau FA, Littlejohns P, Grimshaw JM, Feder G, Moran SE: Development and application of a generic methodology to assess the quality of clinical guidelines. Int J Qual Health Care. 1999, 11 (1): 21-28. 10.1093/intqhc/11.1.21.View ArticlePubMedGoogle Scholar
- AGREE Collaboration: Development and validation of an international appraisal instrument for assessing the quality of clinical practice guidelines: the AGREE project. Qual Saf Health Care. 2003, 12: 18-23. 10.1136/qhc.12.1.18.View ArticleGoogle Scholar
- Shaneyfelt TM, Mayo-Smith MF, Rothwangl J: Are guidelines following guidelines? the methodological quality of clinical practice guidelines in the peer-reviewed medical literature. JAMA. 1999, 281: 1900-1905. 10.1001/jama.281.20.1900.View ArticlePubMedGoogle Scholar
- Shiffman RN, Shekelle P, Overhage JM, Slutsky J, Grimshaw J, Deshpande AM: Standardized reporting of clinical practice guidelines: a proposal from the Conference on Guideline Standardization. Ann Intern Med. 2003, 139: 493-498.View ArticlePubMedGoogle Scholar
- Ryan TJ, Antman EM, Brooks NH, Califf RM, Hillis LD, Hiratzka LF, rapaport E, Riegel B, Russell RO, Smith EE, weaveer WD: 1999 Update: ACC/AHA guidelines for the management of patients with acute myocardial infarction. [http://www.acc.org/clinical/guidelines/nov96/1999/index.htm]
- Anonymous: Practice parameter: the diagnosis, treatment, and evaluation of the initial urinary tract infection in febrile infants and young children. American Academy of Pediatrics. Committee on Quality Improvement. Subcommittee on Urinary Tract Infection [published errata appear in Pediatrics 1999 May;103(5 Pt 1):1052, 1999 Jul;104(1 Pt 1):118 and 2000 Jan;105(1 Pt 1):141] [see comments]. Pediatrics. 1999, 103 (4 Pt 1): 843-852.Google Scholar
- Linzer M, Yang EH, Estes M, Wang P, Vorperian VR, Kapoor WN: Diagnosing syncope: Part 2. unexplained syncope. Ann Intern Med. 1997, 127: 76-86.View ArticlePubMedGoogle Scholar
- Lynn MR: Determination and quantification of content validity. Nursing Research. 1986, 35: 382-385.View ArticlePubMedGoogle Scholar
- Anonymous: Otitis media with effusion. Pediatrics. 2004, 113 (5): 1412-1429. 10.1542/peds.113.5.1412.View ArticleGoogle Scholar
- Michie S, Johnston M: Changing clinical behaviour by making guidelines specific. BMJ. 2004, 328: 343-345. 10.1136/bmj.328.7435.343.View ArticlePubMedPubMed CentralGoogle Scholar
- Shekelle PG, Kravitz RL, Beart J, Marger M, Wang M, Lee M: Are nonspecific practice guidelines potentially harmful? a randomized trial of the effect of nonspecific versus specific guidelines on physician decision making. Health Services research. 2000, 34: 1429-1448.PubMedPubMed CentralGoogle Scholar
- Greco PJ, Eisenberg JM: Changing physicians' practices. N Engl J Med. 1993, 329: 1271-1274. 10.1056/NEJM199310213291714.View ArticlePubMedGoogle Scholar
- Hunt DL, Haynes RB, Hanna SE, Smith K: Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review. JAMA. 1998, 280: 1339-1346. 10.1001/jama.280.15.1339.View ArticlePubMedGoogle Scholar
- Shiffman RN, Liaw Y, Brandt CA, Corb GJ: Computer-based guideline implementation systems: a systematic review of functionality and effectiveness. J Am Med Inform Assoc. 1999, 6: 104-114.View ArticlePubMedPubMed CentralGoogle Scholar
- Kaplan B: Evaluating informatics applications--clinical decision support systems literature review. Int J Med Inform. 2001, 64 (1): 15-37. 10.1016/S1386-5056(01)00183-6. ReviewView ArticlePubMedGoogle Scholar
- Graham ID, Calder LA, Hebert PC, Carter AO, Tetroe JM: A comparison of clinical practice guideline appraisal instruments. Int J Tech Assess Health Care. 2000, 16: 1024-1038. 10.1017/S0266462300103095.View ArticleGoogle Scholar
- Ollenschlager G, Marshall C, Qureshi S, Rosenbrand K, Slutsky J, Burgers J, Makela M: Board of Trustees 2002, Guidelines International Network (G-I-N) Improving the quality of health care: using international collaboration to inform guideline programmes - by founding the Guidelines International Network (G-I-N). Qual Safe Health Care. 2004, 13: 455-460. 10.1136/qshc.2003.009761.View ArticleGoogle Scholar
- Shiffman RN: Representation of clinical practice guidelines in conventional and augmented decision tables. J Am Med Inform Assoc. 1997, 4 (5): 382-393.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6947/5/23/prepub
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