Validação do Nursing Activities Score em unidades de cuidados intensivos portuguesas

Application effect of the online and offline mixed education mode in nursing practice based on the SMCR communication model

Objective

To explore the application effect of the online and offline mixed teaching mode in nursing practice teaching based on the Source Message Channel Receiver (SMCR) communication model.

Methods

By using the convenience sampling method, 15 nursing students who practiced their internship in the Department of Critical Care Medicine at Beijing Friendship Hospital affiliated to Capital Medical University for 4 weeks, from 1 April 2022 to 31 December 2023, were selected as the experimental group. A total of 16 nursing students who practiced in the same hospital in 2021 were selected as the control group. The control group used traditional teaching mode for teaching, and the experimental group used the online and offline teaching mode for teaching. The theoretical and practical achievements, competency, and teaching satisfaction of the two groups of nursing students were compared and analyzed after the internship.

Results

The theoretical knowledge, operational performance, competence of the nurses, and satisfaction with the teaching in the experimental group were higher than those of the control group (P < 0.05).

Conclusion

Based on the SMCR communication model, exploring the online and offline mixed teaching mode plays an important role in the teaching process of nursing practice, which can not only effectively improve the comprehensive performance of nursing students but also help to improve their satisfaction with teaching and has a positive impact on the cultivation of high-quality nursing talents.

Instruments to measure complexity of care based on nursing workload in intensive care units: A systematic review

OBJECTIVE

To establish an evidence-based recommendation on the use of validated scoring systems that measure nursing workload in relation to the complexity of care in adult Intensive Care Units.

METHODS

A systematic review based on the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) was conducted (PROSPERO registration: CRD42021251272). We searched for validation studies until July 2023 using the bibliographic databases CINAHL, Scopus, Pubmed, WOS, Cochrane Database, SCIELO, Cuiden and Cuidatge. Reference selection and data extraction was performed by two independent reviewers. The assessment of risk of bias was performed using QUADAS-2 and the overall quality according to COSMIN and GRADE approach.

RESULTS

We included 22 articles identifying 10 different scoring systems. Reliability, criterion validity and hypothesis testing were the most frequently measurement properties reported. The NAS was the only tool to demonstrate a Class A recommendation (the best performing instrument).

CONCLUSIONS

NAS is the best currently available scoring system to assess complexity of care from nursing workload in ICU. However, it barely met the criteria for a class A recommendation. Future efforts should be made to develop, evaluate, and implement new systems based on innovative approaches such as intensity or complexity of care.

IMPLICATIONS FOR CLINICAL PRACTICE

The results facilitate decision making as it establishes a ranking of which instruments are recommended, promising or not recommended to measure the nursing workload in the intensive care units.

Info-NAS: A Computer Program for the Calculation of Intensive Care Unit Nurse Workload

The purpose of this study was to design an algorithm that allows automatic calculation of nursing workload in intensive care units, based on the Nursing Activities Score scale, through a computer program. Three methodological steps were used: (1) Delphi method (group of experts); (2) identification of the correspondence: Nursing Activities Score items-variables in the EHR, namely, standardized terminology, laboratory values, and prescriptions; and (3) weighting of variables independently by a group of experts. Finally, the algorithm of the computer program was tested. The results showed an algorithm that calculates the nursing workload in an ICU. The calculation is objective and automatic through the EHRs. This study shows the feasibility of the algorithm as a rapid and objective strategy to quantify adequate nurse staffing in intensive care units. Moreover, it provides nurses with a practical resource for the correct completion of records and is thus an incentive to maintain or improve their quality.

A review of inpatient nursing workload measures

BACKGROUND

Fiscal constraints, an ageing populations and the increasing burden of chronic conditions are stressing health systems internationally. Nurses are the linchpin of effective healthcare delivery and their success is dependent on adequate staffing models, which must align knowledge, skills and competencies with workload.

OBJECTIVES

To compare measures of nursing workload in adult inpatient settings.

DESIGN, DATA SOURCES AND REVIEW METHOD

A review of published studies characterising nursing workload measures was undertaken. Databases-PubMed and CINHAL-were used to identify published studies. A description of the psychometric properties of each measure and its use in an inpatient setting was required for inclusion. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement was used to guide and report the review.

RESULTS

Of the 1,422 studies identified, 15 met the inclusion criteria. Nursing workload was measured in the intermediate care unit (n = 6), overall hospital (n = 7), emergency department (n = 1) and burn unit (n = 1) settings and also by mailed survey (n = 1). Eleven different workload measures were identified. The National Aeronautics and Space Administration Task Load Index (n = 3), Therapeutic Intervention Scoring System (n = 3) and Nursing Activities Score (n = 2) were the most common nursing workload measures identified with reported psychometric properties.

CONCLUSION

Researchers, clinicians and hospital administrators should carefully identify and assess the psychometric properties of nursing workload measures before using these in routine practice.

RELEVANCE TO CLINICAL PRACTICE

Gaining a consensus on effective nursing workload measures is a crucial step in designing appropriate staffing models and policies, improving nurse productivity and well-being, as well as enhancing patient health outcomes in inpatient settings.

Predicting patient nurse-level intensity for a subsequent shift in the intensive care unit: A single-centre prospective observational study

BACKGROUND

A dynamic optimized nurse staffing model for the Intensive Care Unit (ICU), requires a tool for monitoring nurse-level intensity with validated cut-offs to identify patients requiring 1:1, 2:1 or 3:1 patient-to-nurse ratios.

OBJECTIVES

We aimed to determine the Nursing Activities Score (NAS) cut-off values which can best distinguish between high, average and lower nurse-level intensity as unanimously perceived by care providers, and to evaluate whether these NAS cut-offs allow to predict nurse-level intensity in the next shift or the same shift the next day.

DESIGN

A prospective observational study.

SETTING

9 ICUs in a Belgian tertiary care center.

PARTICIPANTS

All 3295 patients admitted between March 20, 2013, and September 12, 2013 were included. NAS was quantified at the end of each shift using automatically derived and manually entered care information. Additionally, 412 nurses, 24 nurse managers and 37 physicians rated perceived nurse-level intensity.

METHODS

We first assessed concordance between nurses', nurse managers' and physicians' perceptions of lower (3:1 patient-to-nurse ratio), average (2:1 patient-to-nurse ratio) and high (1:1 patient-to-nurse ratio) nurse-level intensity. Next, receiver operating characteristic (ROC) analysis was applied to determine the NAS cut-offs that best distinguish between different levels of perceived intensity for cases with concordant opinions. Last, logistic regression analysis was applied to estimate the ability of these NAS cut-offs to predict low and high perceived intensity during the next shift and during the same shift the next day.

RESULTS

Nurses', nurse managers' and physicians' perceptions were concordant in 57.1% (n = 4693) of cases, mostly concerning lower or average intensity. Optimal NAS cut-offs for lower and high intensity patients equaled 52.7% and 69.8%, respectively. The lower intensity NAS cut-off showed 74.0% accuracy to predict lower intensity in the next shift and 75.9% accuracy to predict lower intensity for the same shift the next day. The high intensity NAS cut-off showed 67.9% accuracy to predict high intensity in the next shift and 72.0% accuracy to predict high intensity for the same shift the next day.

CONCLUSIONS

NAS cut-offs could contribute considerably in predicting patient nurse-level intensity, and thus patient-to-nurse staffing ratios, in the next shift or day. Identification or prediction of high intensity, nevertheless, appears most complex and requires further study. Future studies need to account for the many confounding variables which complicate nurse staffing planning.

Mobile application for the evaluation and planning of nursing workload in the intensive care unit

OBJECTIVE

In this study, we present an application type software which employs the Nursing Activities Score (NAS), a management tool for measuring nursing workload prospectively.

METHOD

The system was developed in two modules: WEB (controlled from an Internet browser) for data administration using Java Script; and APP (operated from a smartphone or tablet device) for data acquisition using Hypertext Preprocessor (PHP). White and black box tests were performed in the software.

RESULTS

A software was developed with an interface that allows the calculation of the scale score by the same professional who provided assistance, generating reports to help nursing management. The functional test was successfully performed using the Android operational system.

CONCLUSION

The efficiency of the software was demonstrated by the functional test and the main innovations brought herein are the prospective use and the generation of management reports, which can contribute positively by improving nursing quality and safety in the intensive care unit.

Type of admission and nursing workload of critical patients: a cross-sectional study

BACKGROUND

According to the perception of nurses in the intensive care unit (ICU), surgical patients need more nursing care, thus requiring higher nursing workloads for these patients than those admitted as clinical patients. However, some study results on the relationship between the type of admission and the nursing workload are considered contradictory.

AIMS AND OBJECTIVES

To identify if the type of admission (clinical, emergency surgery or elective surgery) is a predictive factor of the nursing workload required by patients on the first day or throughout their stay in the ICU.

DESIGN

This was a quantitative cross-sectional study comprised of a retrospective analysis of clinical records of critical patients.

METHODS

Data were collected from 1 May 2015 to 30 September 2015 in a hospital located in São Paulo, Brazil. Nursing workload was measured using the Nursing Activities Score. The type of admission and the demographic and clinical variables of the patients were investigated. Multiple linear regression was used to identify nursing workload predictive factors, with 5% significance level.

RESULTS

In the analysed sample (n = 211; mean age of 60·3 ± 18·7 years), there was a prevalence of male gender (56·9%). A statistically significant difference (p = 0·025) was found between the type of admission and the nursing workload required for patients on the first ICU day. The Simplified Acute Physiologic Score (p = 0·009) was a predictor of nursing workload on the first day in the ICU, and the Logistic Organ Dysfunction System (p = 0·026) and mortality (p < 0·001) were predictors throughout the ICU stay.

CONCLUSIONS

The type of admission was not a predictive factor of the nursing workload required by critical patients.

RELEVANCE TO CLINICAL PRACTICE

Identifying the predictive factors of nursing workload favours the appropriate staffing of the critical unit by nurses. However, nurses should not consider the type of admission in predicting the nursing workload required by patients in the ICU.

Professional practices of education/training of nurses in an intensive care unit

OBJECTIVE

To understand the education/training of nurses working in an intensive care unit.

METHOD

Case study with qualitative approach, with an intentional sample. Data collection and analysis used different research techniques, mainly document analysis, interview and field observation.

RESULTS

The data highlights feelings of well-being, satisfaction and motivation as important for education and training in a work context. Some organizational practices seem to promote interpersonal relationships and, consequently, increase the willingness of these professionals to adopt a reward perspective regarding continuing education and training, establishing a close relationship between the formal, the non-formal and the informal.

FINAL CONSIDERATION

The attractiveness of this organization is related to the valorization and recognition that it can offer to the professionals. There is a reciprocity between a hospital that endorses up-to-date care and professionals who seek scientific evidence.

Nursing Activities Score: qual periodicidade ideal para avaliação da carga de trabalho?

Resumo Objetivo: Comparar a carga de trabalho obtida a partir do Nursing Activities Score (NAS) pontuado três vezes ao dia, no final de cada turno de trabalho, e pontuado uma vez ao dia considerando as 24 horas. Métodos: Estudo longitudinal prospectivo, realizado com adultos internados em um Centro de Terapia Intensiva de um hospital público de alta complexidade do sul do Brasil. A coleta de dados foi realizada através do sistema Epimed Monitor®. No primeiro período do estudo (Período 1) a pontuação média do NAS foi obtida a partir de três avaliações diárias e no segundo período (Período 2) o NAS foi pontuado uma vez ao dia. A comparação das variáveis foi verificada por meio dos testes t-Studente Mann Whitney U. O estudo foi aprovado pelo Comitê de Ética em Pesquisa da instituição de origem. Resultados: Durante o estudo foram realizadas 1738 avaliações de NAS em 338 pacientes. A média de pontuação do NAS foi de 74±20,9% para o total de pacientes. Não houve diferença entre a média do Período 1 (74,1±20,8%) e a média do Período 2 (73,9±21%) (p= 0,806). O Período 2 teve mais avaliações na categoria de NAS <50% e menos avaliações na categoria de NAS 50,1-100% em relação ao Período 1 (p<0,001 e p= 0,029, respectivamente). Conclusão: A pontuação média do NAS é semelhante quando comparada a aferição realizada três vezes ao dia com a realizada uma vez ao dia considerando as 24 horas anteriores para avaliação de carga de trabalho de enfermagem.

Validation of the nursing workload scoring systems "Nursing Activities Score" (NAS), and "Therapeutic Intervention Scoring System for Critically Ill Children" (TISS-C) in a Greek Paediatric Intensive Care Unit

OBJECTIVES

To assess the reliability and validity of the Greek version of Nursing Activities Score (NAS), and Therapeutic Intervention Scoring System for Critically Ill Children (TISS-C) in a Greek Paediatric Intensive Care Unit (PICU).

RESEARCH METHODOLOGY

A methodological study was performed in one PICU of the largest Paediatric Hospital in Athens-Greece. The culturally adapted and validated Greek NAS version, enriched according to the Norwegian paediatric one (P-NAS), was used. TISS-C and Norwegian paediatric interventions were translated to Greek language and backwards. Therapeutic Intervention Scoring System (TISS-28) was used as a gold standard. Two independent observers simultaneously recorded 30 daily P-NAS and TISS-C records. Totally, 188 daily P-NAS, TISS-C and TISS-28 reports in a sample of 29 patients have been obtained during five weeks. Descriptive statistics, reliability and validity measures were applied using SPSS (ver 22.0) (p ≤ 0.05).

RESULTS

Kappa was 0.963 for P-NAS and 0.9895 for TISS-C (p < 0.001) and Intraclass Correlation Coefficient for all scale items of TISS-C was 1.00 (p < 0.001). P-NAS, TISS-28 and TISS-C measurements were significantly correlated (0.680 ≤ rho ≤ 0.743, p < 0.001). The mean score(±SD) for TISS-28, P-NAS and TISS-C was 23.05(±5.72), 58.14(±13.98) and 20.21(±9.66) respectively.

CONCLUSION

These results support the validity of P-NAS and TISS-C scales to be used in greek PICUs.

Actions of the fall prevention protocol: mapping with the classification of nursing interventions

Objective:

to analyze the correspondence between the actions contained in the fall prevention protocol of the Ministry of Health and the Nursing Interventions Classification (NIC) by a cross-mapping.

Method:

this is a descriptive study carried out in four stages: protocol survey, identification of NIC interventions related to nursing diagnosis, the risk of falls, cross-mapping, and validation of the mapping from the Delphi technique.

Results:

there were 51 actions identified in the protocol and 42 interventions in the NIC. Two rounds of mapping evaluation were carried out by the experts. There were 47 protocol actions corresponding to 25 NIC interventions. The NIC interventions that presented the highest correspondence with protocol actions were: fall prevention, environmental-safety control, and risk identification. Regarding the classification of similarity and comprehensiveness of the 47 actions of the protocol mapped, 44.7% were considered more detailed and specific than the NIC, 29.8% less specific than the NIC and 25.5% were classified as similar in significance to the NIC.

Conclusion:

most of the actions contained in the protocol are more specific and detailed, however, the NIC contemplates a greater diversity of interventions and may base a review of the protocol to increase actions related to falls prevention..

Severity and workload of nursing with patients seeking admission to an intensive care unit

Abstract Objective: To identify the severity and workload of nursing with adult patients seeking admission to an Intensive Care Unit (ICU). Methods: A cross-sectional study with a quantitative, exploratory and prospective approach was performed, developed in a hospital in the state of São Paulo. Demographic data on patients were collected, the Simplified Acute Physiology Score III (SAPS III) was applied to assess the severity of patients and the Nursing Activities Score (NAS) was used to evaluate nursing workload, between July and August 2014. Results: The overall mean score of the SAPS III was 30.52 ± 18.39 and that of the NAS was 58.18 ± 22.29. The group of patients admitted to the ICU showed higher severity and higher workload of nursing compared to non-admitted patients. Non-admitted patients had an NAS of 53.85. Conclusion: The nursing workload in patients who were not admitted to the ICU was also high. The evaluation of workload in other contexts where patients are seriously ill is important. The workload assessment in other contexts where severely ill patients are found is evident.