BACKGROUND: Although nursing, midwifery, and professions allied to medicine are increasingly using clinical guidelines to reduce inappropriate variations in practice and ensure higher quality care, there have been no rigorous overviews of their effectiveness, 18 evaluations of guidelines were identified that meet Cochrane criteria for scientific rigor. METHODS: Guideline evaluations conducted since 1975 which used a randomised controlled trial, controlled before and after, or interrupted time series design were identified through a combination of database and hand searching. RESULTS: 18 studies met the inclusion criteria. Three studies evaluated guideline dissemination or implementation strategies, nine compared use of a guideline with a no guideline state; six studies examined skill substitution: performance of nurses operating according to a guideline were compared with standard care, generally provided by a physician. Significant changes in the process of care were found in six out of eight studies measuring process and in which guidelines were expected to have a positive impact on performance. In seven of the nine studies measuring outcomes of care, significant differences in favour of the intervention group were found. Skill substitution studies generally supported the hypothesis of no difference between protocol driven by nurses and care by a physician. Only one study included a formal economic evaluation, with equivocal findings. CONCLUSIONS: Findings from the review provide some evidence that care driven by a guideline can be effective in changing the process and outcome of care. However, many studies fell short of the criteria of the Cochrane Effective Practice and Organisation of Care Group (EPOC) for methodological quality. (+info)
(2/248) Are medical informatics and nursing informatics distinct disciplines? The 1999 ACMI debate.
The 1999 debate of the American College of Medical Informatics focused on the proposition that medical informatics and nursing informatics are distinctive disciplines that require their own core curricula, training programs, and professional identities. Proponents of this position emphasized that informatics training, technology applications, and professional identities are closely tied to the activities of the health professionals they serve and that, as nursing and medicine differ, so do the corresponding efforts in information science and technology. Opponents of the proposition asserted that informatics is built on a re-usable and widely applicable set of methods that are common to all health science disciplines, and that "medical informatics" continues to be a useful name for a composite core discipline that should be studied by all students, regardless of their health profession orientation. (+info)
(3/248) Terminology standards for nursing: collaboration at the summit.
OBJECTIVE: The objective of the 1999 Nursing Vocabulary Summit Conference was to seek consensus on and a common approach to the development of nursing terminology standards for use in information systems. METHODS: A four-day invitational conference brought together authors and representatives of responsible organizations concerned with the nursing terminologies recognized or under consideration by the American Nurses Association, along with experts on language and standards and representatives of professional organizations, federal agencies, and the health informatics industry. RESULTS: Participants distinguished between colloquial terminologies and reference terminologies, and between information models and terminology models. They agreed that most recognized nursing terminologies were colloquial terminologies and that a reference terminology was needed. They formed task forces to develop and test aspects of a reference terminology model prior to a second meeting in June 2000, at which they would determine readiness to collaborate on a single international standard. DISCUSSION: The 1999 Nursing Vocabulary Summit Conference changed the level of discussion about nursing vocabulary standards from a debate about the relative merits of the various terminologies recognized in the United States to an examination of methods for developing and testing a reference terminology model and, eventually, a reference terminology that could serve as an international standard. (+info)
(4/248) Standards for nursing terminology.
Terminology work in nursing has given rise to an increasing number of nursing terminologies. These generally take the form of controlled vocabularies. Because of the limitations of the controlled vocabulary approach, individual terminologies tend to be tuned to meet the specific needs of their intended users. Differences between terminologies are now a significant barrier to the comparison and interchange of health information. To agree on a single, multipurpose terminology would be problematic. However, several options for resolving unnecessary differences between nursing terminologies are currently being explored by international standards bodies and other groups, such as the U.S. Nursing Vocabulary Summit. One such option is the use of a terminology model to facilitate evolution toward a more coherent range of terminologies. The authors describe the motivation behind the development of a standard for nursing terminologies. They explain how a terminology model might form the basis for such a standard through a description of the approach taken by CEN TC251 (the Health Informatics Technical Committee of the European Committee for Standardization). They also discuss possible limitations of standardization. (+info)
(5/248) Evaluation of the clinical LOINC (Logical Observation Identifiers, Names, and Codes) semantic structure as a terminology model for standardized assessment measures.
OBJECTIVE: The purpose of this study was to test the adequacy of the Clinical LOINC (Logical Observation Identifiers, Names, and Codes) semantic structure as a terminology model for standardized assessment measures. METHODS: After extension of the definitions, 1, 096 items from 35 standardized assessment instruments were dissected into the elements of the Clinical LOINC semantic structure. An additional coder dissected at least one randomly selected item from each instrument. When multiple scale types occurred in a single instrument, a second coder dissected one randomly selected item representative of each scale type. RESULTS: The results support the adequacy of the Clinical LOINC semantic structure as a terminology model for standardized assessments. Using the revised definitions, the coders were able to dissect into the elements of Clinical LOINC all the standardized assessment items in the sample instruments. Percentage agreement for each element was as follows: component, 100 percent; property, 87.8 percent; timing, 82.9 percent; system/sample, 100 percent; scale, 92.6 percent; and method, 97.6 percent. DISCUSSION: This evaluation was an initial step toward the representation of standardized assessment items in a manner that facilitates data sharing and re-use. Further clarification of the definitions, especially those related to time and property, is required to improve inter-rater reliability and to harmonize the representations with similar items already in LOINC. (+info)
(6/248) Embedded structures and representation of nursing knowledge.
Nursing Vocabulary Summit participants were challenged to consider whether reference terminology and information models might be a way to move toward better capture of data in electronic medical records. A requirement of such reference models is fidelity to representations of domain knowledge. This article discusses embedded structures in three different approaches to organizing domain knowledge: scientific reasoning, expertise, and standardized nursing languages. The concept of pressure ulcer is presented as an example of the various ways lexical elements used in relation to a specific concept are organized across systems. Different approaches to structuring information-the clinical information system, minimum data sets, and standardized messaging formats-are similarly discussed. Recommendations include identification of the polyhierarchies and categorical structures required within a reference terminology, systematic evaluations of the extent to which structured information accurately and completely represents domain knowledge, and modifications or extensions to existing multidisciplinary efforts. (+info)
(7/248) An evaluation of ICNP intervention axes as terminology model components.
In this paper we evaluate selected axes of the International Classification of Nursing Practice (ICNP) as terminology model components for nursing actions by dissecting and categorizing two data sets of term phrases (Patient Care Data Set and Home Health Care Classification). Second, we critically analyze the relationships between the ICNP axes and terminology model components used to formally define procedures (including nursing actions) in SNOMED RT. Our findings demonstrate that the semantic categories represented by the ICNP intervention axes are relevant sources for terminology model components for nursing actions. In addition, our findings suggest that only minimal additions or extensions to the current semantic links of SNOMED RT are needed to support the formal definition of nursing actions such as those contained in PCDS and HHCC. (+info)
(8/248) The evolution of a clinical database: from local to standardized clinical languages.
For more than twenty years, the University of Iowa Hospitals and Clinics Nursing Informatics (UIHC NI) has been developing a clinical database to support patient care planning and documentation in the INFORMM NIS (Information Network for Online Retrieval & Medical Management Nursing Information System). Beginning in 1992, the database content was revised to standardize orders and to incorporate the Standardized Nursing Languages (SNLs) of the North American Nursing Diagnosis Association (NANDA), Nursing Diagnosis Extension Classification (NDEC), Nursing Interventions Classification (NIC), and Nursing Outcomes Classification (NOC). This paper reports the results of the database revision as well as recent usage data, new user selection methods for clinical content, and the advantages of a database utilizing SNLs. (+info)