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PubMed2002

Database searches for qualitative research.

Interest in the role of qualitative research in evidence-based health care is growing. However, the methods currently used to identify quantitative research do not translate easily to qualitative research. This paper highlights some of the difficulties during searches of electronic databases for qualitative research. These difficulties relate to the descriptive nature of the titles used in some qualitative studies, the variable information provided in abstracts, and the differences in the indexing of these studies across databases.

Abstracting and Indexing↗
PubMedDate not supplied

Corpus-based statistical screening for phrase identification.

PURPOSE: The authors study the extraction of useful phrases from a natural language database by statistical methods. The aim is to leverage human effort by providing preprocessed phrase lists with a high percentage of useful material. METHOD: The approach is to develop six different scoring methods that are based on different aspects of phrase occurrence. The emphasis here is not on lexical information or syntactic structure but rather on the statistical properties of word pairs and triples that can be obtained from a large database. MEASUREMENTS: The Unified Medical Language System (UMLS) incorporates a large list of humanly acceptable phrases in the medical field as a part of its structure. The authors use this list of phrases as a gold standard for validating their methods. A good method is one that ranks the UMLS phrases high among all phrases studied. Measurements are 11-point average precision values and precision-recall curves based on the rankings. RESULT: The authors find of six different scoring methods that each proves effective in identifying UMLS quality phrases in a large subset of MEDLINE. These methods are applicable both to word pairs and word triples. All six methods are optimally combined to produce composite scoring methods that are more effective than any single method. The quality of the composite methods appears sufficient to support the automatic placement of hyperlinks in text at the site of highly ranked phrases. CONCLUSION: Statistical scoring methods provide a promising approach to the extraction of useful phrases from a natural language database for the purpose of indexing or providing hyperlinks in text.

Abstracting and Indexing↗
PubMedDate not supplied

A comparison of two methods for indexing and retrieval from a full-text medical database.

The objective of this study was to compare how well medical professionals are able to retrieve relevant literature references using two computerized literature searching systems that provide automated (non-human) indexing of content. The first program was SAPHIRE, which features concept-based indexing, free-text input of queries, and ranking of retrieved references for relevance. The second program was SWORD, which provides single-word searching using Boolean operators (AND, OR). Sixteen fourth-year medical students participated in the study. The database for searching was six volumes from the 1989 Yearbook series. The queries were ten questions generated on teaching rounds. All subjects searched half the queries with each program. After the searching, each subject was given a questionnaire about prior experience and preferences about the two programs. Recall (proportion of relevant articles retrieved from the database) and precision (proportion of relevant articles in the retrieved set) were measured for each search done by each participant. Mean recall was 57.6% with SAPHIRE; it was 58.6% with SWORD. Precision was 48.1% with SAPHIRE vs 57.6% with SWORD. Each program was rated easier to use than the other by half of the searchers, and preferences were associated with better searching performance for that program. Both systems achieved recall and precision comparable to existing systems and may represent effective alternatives to MEDLINE and other retrieval systems based on human indexing for searching medical literature.

Abstracting and Indexing↗
PubMed1998

How to find who.

Master person indexes are considered the cornerstone of many health care systems integration projects. Although a fundamental first step, mastering the master person index is an IT challenge when organizations expand.

Abstracting and Indexing↗
PubMed1983

Survey-based indices for nursing home quality incentive reimbursement.

Incentive payments are a theoretically appealing complement to nursing home quality assurance systems that rely on regulatory enforcement. However, the practical aspects of incentive program design are not yet well understood. After reviewing the rationale for incentive approaches and recent State and Federal initiatives, the article considers a basic program design issue: creating an index of nursing home quality. It focuses on indices constructed from routine licensure and certification survey results because State initiatives have relied heavily on these readily accessible data. It also suggests a procedure for creating a survey-based index and discusses a sampling of implementation issues.

Abstracting and Indexing↗
PubMed2001

Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program.

The UMLS Metathesaurus, the largest thesaurus in the biomedical domain, provides a representation of biomedical knowledge consisting of concepts classified by semantic type and both hierarchical and non-hierarchical relationships among the concepts. This knowledge has proved useful for many applications including decision support systems, management of patient records, information retrieval (IR) and data mining. Gaining effective access to the knowledge is critical to the success of these applications. This paper describes MetaMap, a program developed at the National Library of Medicine (NLM) to map biomedical text to the Metathesaurus or, equivalently, to discover Metathesaurus concepts referred to in text. MetaMap uses a knowledge intensive approach based on symbolic, natural language processing (NLP) and computational linguistic techniques. Besides being applied for both IR and data mining applications, MetaMap is one of the foundations of NLM's Indexing Initiative System which is being applied to both semi-automatic and fully automatic indexing of the biomedical literature at the library.

Abstracting and Indexing↗
PubMed1985

Analysis of the Journal of The American Dietetic Association, 1967 to 1983.

Analysis of the Journal of The American Dietetic Association was undertaken for 1967 to 1983 to determine whether there were changes that might have resulted from the report of the 1972 Study Commission on Dietetics. The study analyzed such factors as the number of original articles, educational background of authors and Journal advisory board members, abstracting of other Journal articles, indexing, citation analysis, and impact factor of the Journal. Study results show increased educational qualifications of authors and advisory board members, more original articles, more efficient indexing, and greater citation frequency.

Abstracting and Indexing↗