Intensive Care Nursing Scoring System Part 2: Nursing interventions and nursing outcomes

Pyykkö, Anita K.; Laurila, Jouko; Ala‐Kokko, Tero; Hentinen, Maija

doi:10.1054/iccn.2000.1540

Cited by 14 publications

(7 citation statements)

References 21 publications

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“…4,5,28,36 TISS-28 scores also do not reflect activities within the scope of teaching/managing, encouraging/supporting, or being present in patients' rooms, all of which are provided in Polish ICUs. 37 Thus, the scores reflect only a fraction of such activities, which can account for 32% of a nurse's time. 13,26 Our results are similar to indices used and recommended by foreign ICUs.…”

Section: Discussionmentioning

confidence: 99%

Demand for Nursing Care for Patients in Intensive Care Units in Southeast Poland

Wysokiński

Ksykiewicz-Dorota

Fidecki

2010

American Journal of Critical Care

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Background The Therapeutic Intervention Scoring System is widely used in both Western Europe and the United States to assess the level of patients’ need for nursing care. Poland currently has 3 types of intensive care according to a territorial division of the country and the scope of medical treatment offered: poviat, voivodeship, and clinical. Objective To determine the need for nursing care for patients in the 3 types of intensive care units in southeastern Poland. Methods The investigation was conducted at 6 intensive care units in southeastern Poland in 2005 and 2006. Two units were randomly selected from each type of intensive care unit. A total of 155 patients from the units were categorized according to scores on the Therapeutic Intervention Scoring System 28. Results Among the 3 types of units, patients varied significantly with respect to age, length of hospitalization, and scores on the Therapeutic Intervention Scoring System 28. Nevertheless, demand for nursing care during night and day shifts was similar in all 3 types. On the basis of the patients’ scores, all 3 types of units provided appropriate staffing levels necessary to meet the demands for nursing care. Most patients required category III level of care. Conclusion Need or demand for nursing care in intensive care units in Poland varies according to the type of intensive care unit and can be determined on the basis of scores on the Therapeutic Intervention Scoring System 28.

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Section: Discussionmentioning

confidence: 99%

Demand for Nursing Care for Patients in Intensive Care Units in Southeast Poland

Wysokiński

Ksykiewicz-Dorota

Fidecki

2010

American Journal of Critical Care

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“…There is an ongoing project to adapt the Belgium Nursing Minimum Data Set to the Finnish nursing culture (Turtiainen, Kinnunen, Sermeus, & Nyberg, 2000). There are also well-documented research projects in patient classifications (Fagerstrom, Rainio, Rauhala, & Nojonen, 2000a and nursing process classifications (Pyykko, Laurila, Ala-Kokko, & Hentinen, 2001; Pyykko, Laurila, Ala-Kokko, Hentinen, & Janhonen,…”

Section: But Explorer La Pertinence D'une Base De Donnkes Concernantmentioning

confidence: 99%

Initial Validation of the Perioperative Nursing Data Set in Finland

Junttilla

Lauri

Salanterä

et al. 2002

International Journal of Nursing Terminologies and Classificati

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PURPOSE. To explore the relevance of the Perioperative Nursing Data Set (PNDS) in Finland. METHODS. A three‐round Delphi technique (10 participants) and content analysis of 134 articles from the Journal of the Finnish Operating Room Nurses Association. FINDINCS. All the PNDS outcomes, 86% of the diagnoses, and 87% of the interventions were found to be relevant. The Delphi panel suggested, and content analysis revealed, 6 new outcomes, 43 new diagnoses, and 11 new interventions. Consensus was achieved on 77%. The phrases used in perioperative articles corresponded with those of PNDS 56%‐78% of the time. CONCLUSIONS. PNDS can be used to describe perioperative nursing in Finland. Further conceptualization and validation are needed before using the data set in perioperative practice. IMPLICATIONS FOR PRACTICE. Although PNDS cannot be implemented in Finland as is, it is a valid structure for further development of the terminology, contents, methods, and practice of Finnish perioperative documentation. Première validation d'une base de données concernant les soins infirmiers périopératoires en Finlande BUT. Explorer la pertinence d'une base de données concernant les soins infirmiers périopératoires en Finlande. MÉTHODE. La méthode de Delphi à 3 tours (10 participants) et l'analyse de contenu de 134 articles publiés dans le Journal de l'Association Finlandaise des Infirmières de bloc opératoire. RÉSULTATS. Tous les résultats, 86% des diagnostics et 87% des interventions de la BDSIP se sont révélés pertinents. Le panel Delphi et l'analyse de contenu ont permis d'identifier 6 nouveaux résultats, 43 nouveaux diagnostics, et 11 nouvelles interventions. Le consensus a atteint 77%. Les phrases utilisées dans les articles sur les soins périopératoires correspondaient à l'ensemble de la BDSIP avec un écart de 56%‐78%. CONCLUSIONS. La BDSIP peut être utilisée pour décrire les soins périopératoires en Finlande. II faut cependant poursuivre le processus de conceptualisation et de validation avant d'utiliser cette base de données dans le milieu clinique périopératoire. IMPLICATIONS POUR LA PRATIQUE. It Serait prématuré d'utiliser la BDSIP actuelle, en Finlande, mais elle constitue une structure valide pour développer la terminologie, les contenus, les méthodes et la pratique, tels qu'ils pourraient apparaître dans les dossiers des patients en périopératoire. Mots‐clés: Base de données de soins infirmiers, dossiers, nomenclature, soins périopératoires ValidaçãTo Inicial do Conjunto de Dados de Enfermagem Perioperatória na Finlàndia OBJETIVO. Explorar a relevância do Conjunto de Dados de Enfermagem Perioperatória (PNDS) na Finlândia. MÉTODO. Técnica de Delphi em três rodadas (10 participantes) e análise de conteúdo de 134 artigos da Revista da AssociaçãTo Finlandesa de Enfermeiras de Centro Cirúrgico. ACHADOS. Todos os resultados esperados do PNDS, 86% dos diagnósticos e 87% das intervenções foram considerados relevantes. O painel Delphi sugeriu, e a análise de conteúdo revelou, 6 novos resultados esperados, 43 n...

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“…Over the past 30 years, several patient-classification or nursing workload measurement tools (NWMT) have been implemented, with the goal to optimize the utilization of nursing resources and to enhance comparisons between various ICUs [15][16][17][18][19][20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Measuring the nursing workload per shift in the ICU

et al. 2012

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Purpose: In the intensive care unit (ICU) different strategies and workload measurement tools exist to indicate the number of nurses needed. The gathered information is always focused on manpower needed per 24 h. However, a day consists of several shifts, which may be unequal in nursing workload. The aim of this study was to evaluate if differences in nursing workload between consecutive shifts can be identified by a nursing workload measurement tool. Methods: The nursing activities score (NAS) was registered per patient for every shift during a 4-week period in a prospective, observational research project in the surgical-pediatric ICU (SICU-PICU) and medical ICU (MICU) of an academic hospital. Results: The NAS was influenced by the patient characteristics and the type of shift. Furthermore, the scores were lower during night shifts, in weekends and in MICU patients. Overall, the mean NAS per nurse per shift was 85.5 %, and the NAS per 24 h was 54.7 %. Conclusion: This study has shown that the nursing workload can be measured per working shift. In the ICU, the NAS differentiates the nursing workload between shifts, patients and units.

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Intensive Care Nursing Scoring System Part 2: Nursing interventions and nursing outcomes

Cited by 14 publications

References 21 publications

Demand for Nursing Care for Patients in Intensive Care Units in Southeast Poland

Demand for Nursing Care for Patients in Intensive Care Units in Southeast Poland

Initial Validation of the Perioperative Nursing Data Set in Finland

Measuring the nursing workload per shift in the ICU

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