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Biomedical subjects

William T F Goossen

Publications and source records attributed to William T F Goossen.

8 recordsLinked to original sources

Linking nursing care to medical diagnoses: heterogeneity of patient groups.

AIM: The new budget system for Dutch hospitals makes use of patient groups that are highly homogeneous in terms of diagnosis and treatment combinations (diagnose behandeling combinaties (DBC)). These DBCs are the Dutch DRG variants. The DBC mainly concerns medical care; nursing care is almost regarded as a constant factor. In this study the DBC is linked to the nursing minimum data set for The Netherlands (NMDSN), to explore the degree of homogeneity in terms of nursing care for patient groups that are homogeneous in terms of the DBC. METHOD: In nine Dutch hospitals, patient information was collected by means of the NMDSN. To answer the question, we performed a secondary data analysis on the NMDSN. First, groups were formed in terms of medical diagnoses as defined in the DBC. Next, explorative statistical analyses were used to form homogeneous groups in terms of nursing diagnoses. These groups were compared in terms of the nursing care interventions and in terms of medical diagnoses. FINDING: Some medical diagnoses seem to be homogeneous, others more heterogeneous in terms of nursing care. DISCUSSION AND CONCLUSION: Limitations in the study design hinder a firm conclusion. However, the results discourage the use of the medical DBC for nursing care.

Diagnosis↗

Development of a provisional domain model for the nursing process for use within the Health Level 7 reference information model.

OBJECTIVE: Since 1999, the Nursing Terminology Summits have promoted the development, evaluation, and use of reference terminology for nursing and its integration into comprehensive health care data standards. The use of such standards to represent nursing knowledge, terminology, processes, and information in electronic health records will enhance continuity of care, decision support, and the exchange of comparable patient information. As part of this activity, working groups at the 2001, 2002, and 2003 Summit Conferences examined how to represent nursing information in the Health Level 7 (HL7) Reference Information Model (RIM). DESIGN: The working groups represented the nursing process as a dynamic sequence of phases, each containing information specific to the activities of the phase. They used Universal Modeling Language (UML) to represent this domain knowledge in models. An Activity Diagram was used to create a dynamic model of the nursing process. After creating a structural model of the information used at each stage of the nursing process, the working groups mapped that information to the HL7 RIM. They used a hierarchical structure for the organization of nursing knowledge as the basis for a hierarchical model for "Findings about the patient." The modeling and mapping reported here were exploratory and preliminary, not exhaustive or definitive. The intent was to evaluate the feasibility of representing some types of nursing information consistently with HL7 standards. MEASUREMENTS: The working groups conducted a small-scale validation by testing examples of nursing terminology against the HL7 RIM class "Observation." RESULTS: It was feasible to map patient information from the proposed models to the RIM class "Observation." Examples illustrate the models and the mapping of nursing terminology to the HL7 RIM. CONCLUSION: It is possible to model and map nursing information into the comprehensive health care information model, the HL7 RIM. These models must evolve and undergo further validation by clinicians. The integration of nursing information, terminology, and processes in information models is a first step toward rendering nursing information machine-readable in electronic patient records and messages. An eventual practical result, after much more development, would be to create computable, structured information for nursing documentation.

Feasibility Studies↗

Electronic patient records: domain message information model perinatology.

PURPOSE: The Netherlands is developing a set of national domain information models to support electronic information exchange and electronic patient records (EPR). These domain information models aim to support the development, adoption, implementation and maintenance of the EPR in Dutch healthcare practice. This article describes the modelling for a pilot for mother- and childcare (perinatology). METHODOLOGY: Cases' from perinatology are modelled using the Health Level 7 version 3 Reference Information Model (HL7 RIM) as the methodology and tools. RESULTS: Results include descriptions of care processes, communication and information that are broken down into interaction tables and tables with information. Next several domain information models for perinatology are drawn up. These models allow healthcare professionals to recognise their communication, content and work. Currently, the models facilitate discussion and critique by clinician and informaticians. CONCLUSION: The perinatology domain information models facilitate in building implementations because they contain sufficient details for EPR developers and for developers of messages for information exchange. The first results of the project are useful, despite the fact that HL7 RIM modelling methodology is still not finalized. The approach bridges professional content, technical implementation of messages, and future EPR development.

Adult↗

Statistical analysis of the nursing minimum data set for The Netherlands.

The purpose of this overview is to examine and illustrate the feasible options for the statistical analysis of nursing minimum data sets (NMDSs). After explaining the need for these data collections, examples from different countries are discussed and examples of the methods used for statistical analysis are summarized. Distinct purposes for information uses and for the presentation of information requires different approaches for data collection and statistical analysis. The feasible options for the nursing minimum data set for the Netherlands (NMDSN) have been described to illustrate the different methods available. Six studies are discussed, illustrating their goals, data collection methods, data analysis, and results. These studies include visualizing nursing care by means of frequencies of nursing diagnoses and interventions, RIDIT (relative to an identified distribution) analysis, fingerprints, and graphs from multidimensional scaling techniques. In addition, using data sets for workload measurement and testing of instruments is presented. The overview ends with general recommendations for data collection and analysis of NMDSs.

Data Collection↗

Further psychometric testing of the Dutch Care Dependency Scale on two different patient groups.

The Care Dependency Scale (CDS) is an instrument for assessing functional care demands of psychogeriatric nursing home patients. The purpose of this study was to examine whether the CDS can be used on institutionalized elderly people other than psychogeriatric nursing home patients. Therefore, data were gathered on two different populations: residential home patients and somatic (high care) nursing home patients. Psychometric evaluations of the CDS were carried out for each population separately. These data offer additional support for the reliability of the scale in terms of internal consistency and inter-item correlation. The measures among separate groups of nurses show fair to moderate agreement. The criterion-related validity of the instrument was investigated by studying the relationship between the CDS and four other instruments. One of the main outcomes of the study is that the CDS can be used appropriately in residential home practice and in somatic nursing home practice.

Activities of Daily Living↗

Human interaction.

Explore the source record for details and available documents.

Communication↗

Electronic patient records: Dutch domain information model perinatology.

Currently a national domain information model is developed to support information exchange via electronic patient records (EPR), and to support the adoption of the EPR in Dutch healthcare practice. This article describes a pilot for the domain information model for mother- and childcare (perinatology) that serves as a first 'use case'. The 'use case' is modeled using the Health Level 7 version 3 Reference Information Model (HL7 RIM) as the methodology and modeling tool. The first results are promising, despite the fact that HL7 RIM is still in a draft version up to formal vote. The models of the 'use case' are both specific and generic at the same time, allowing professionals to recognize their domain specific content and work, and the EPR developers, or developers of messages for information exchange, to build practical implementations. The approach bridges professional content and technical issues.

Child↗

Modeling nursing care in health level 7 reference information model.

This article describes the attempt that was made to fit nursing knowledge into the Reference Information Model developed by Health Level 7 (HL 7 RIM). A part of nursing knowledge concerning pressure ulcer was used to show the possibilities of modeling nursing knowledge, terminology, and information in the Health Level 7 Reference Information Model. The purpose of this modeling work was to allow the integration of nursing information in electronic patient records and to ensure the interoperability and exchange of nursing information. Based on earlier reviews of pressure ulcer literature, an overview was made of relevant variables, coding, and information required for nursing care for pressure ulcer. Next, a use case was made and followed by modeling the required information in the Unified Modeling Language. It is possible to integrate nursing knowledge, terminology, and information requirements in the Health Level 7 Reference Information Model.

Humans↗