Biomedical subjects

Lucas Delesie

Publications and source records attributed to Lucas Delesie.

3 recordsLinked to original sources

PubMed2005

Revising the Belgian Nursing Minimum Dataset: from concept to implementation.

The process of revising the Belgian Nursing Minimum Dataset (B-NMDS) started in 2000 and entailed four major phases. The first phase (June-October 2002) involved the development of a conceptual framework based on a literature review and secondary data analysis. The Nursing Interventions Classification (NIC) was selected as a framework for the revision of the original B-NMDS. The second phase (November 2002-September 2003) focused on language development for six care programs evaluated by panels of clinical experts (N=75). These panels identified the following items as priorities for the revised B-NMDS: hospital financing, nurse staffing allocation, assessment of the appropriateness of hospitalisation, and quality management. During this period, we developed a draft instrument with 92 variables using the NIC. This led to an alpha version of a revised B-NMDS. The third phase (October 2003-December 2004) focused on data collection and validation of the new tool. The revised B-NMDS (alpha version) was tested in 158 nursing wards in 66 Belgian hospitals from December 2003 until March 2004. This test generated data for some 95,000 in-patient days. The interrater reliability of the revised B-NMDS was assessed. The criterion-related validity of the revised B-NMDS was compared to that of the original B-NMDS. The discriminative power of the revised B-NMDS was also assessed to select the most relevant variables for data collection. This resulted in a beta version of the revised B-NMDS in December 2004. The records of the revised B-NMDS were linked to the Hospital Discharge Dataset and other mandatory datasets to integrate the revised B-NMDS into the overall healthcare management system. The fourth phase (January 2005-December 2005) is presently focusing on information management. Nationwide implementation is foreseen by January 2007.

Belgium↗

PubMed2004

A nation-wide project for the revision of the Belgian nursing minimum dataset: from concept to implementation.

This paper describes the process of revising the Belgian Nursing Minimum Data Set (NMDS). The study started in 2000. Implementation is planned from 2006. The project is divided in 4 major phases. The first phase (June-October 2002) implied the development of the conceptual framework based on literature review and secondary data-analysis. The Nursing Interventions Classification (NIC) was selected as framework for the revision of the NMDS. The second phase focused on the language development (November 2002 - September 2003) with panels of clinical experts (N=75) for six care programs. They indicated hospital financing, nurse staffing allocation and assessment of the appropriateness of hospitalization as priorities of a revised B-NMDS. A draft instrument with 84 variables, using NIC, was developed during this period. This leads to an alpha version of a revised NMDS. The third phase (October 2003 - December 2004) focused on the data collection and validation of the new tool. The new NMDS was tested on 158 nursing wards in 66 Belgian hospitals from December 2003 until March 2004. This test generated data for some 95.000 inpatient days. The interrater-reliability of the revised NMDS is tested. The criterion-related validity of the revised NMDS is compared with the actual NMDS. The discriminative power of the revised NMDS is tested to select the most relevant items for data collection. This will result in a beta version of revised NMDS in December 2004. The records of the revised NMDS are linked with the hospital discharge dataset and other mandatory datasets to integrate the revised NMDS in the broader health care management. The fourth phase (January-December 2005) will focus on information management.

Belgium↗

PubMed2002

Monitoring the variability in drug-prescribing patterns: benchmarking and feedback in Belgium.

Health-care providers, insurance agencies, ministries, clinicians etc. are installing Information and Communication Technology to monitor patients, patient care and pharmaceutical drug-prescribing patterns. The ever-growing databases create opportunities for better knowledge about the health-care system and, eventually, more effective management. Yet, these databases run the risk of under-utilisation or simplistic interpretation through lack of appropriate knowledge methodology. On the one hand, managers and policy makers oversimplify the available information. Numerous individual patients and pharmaceutical drugs are classified into a small number of categories and measured using Great British pounds or Euros. Sums, averages and two-way tables cover up all the fine shades in patient problems and therapies that are recorded in great detail. On the other hand, investigations discover a wide diversity of patients and a great variability of care patterns among clinicians, hospitals and regions. When so-called unexplained regional, institutional and clinician differences are published, confusion and distrust arise. Examples exist in France, the USA, the UK and Belgium. This document investigates how to discover management knowledge with respect to drug prescribing patterns. The example presented covers the cases of the 18,000 Belgian home practitioners.

Belgium↗