Optimal Nursing Care Intensity Level Research Articles

How the reliability and validity of the patient classification system can be ensured in daily nursing work? A follow-up study.

This study aimed to determine the reliability and validity of the RAFAELA patient classification system (PCS) for qualified and efficient nurses. The number of patients per nurse or diagnosis-based determination of nursing workload are imprecise measures that do not consider the variation in patients' care needs. Ensuring the reliability and validity of the RAFAELA is important for the efficient allocation of nursing resources. In this study, we investigated how the maintenance (parallel classification measurement and professional assessment of optimal nursing care intensity level measurement) of the RAFAELA was done with 9 years of follow-up data. The results were analysed using quantitative methods supplemented with qualitative audit descriptions. The STROBE checklist was used. The RAFAELA was used continuously in 44 units (40%). The length of use of the RAFAELA influenced the success of parallel classification measurements. Six per cent of units passed parallel classification measurement over 75% after 1-3 years' use, 42% after 4-6 years and 83% after 7-9 years. Among the units that used the RAFAELA PCS continuously, only four (9%) passed the professional assessment of optimal nursing care intensity level measurement. This study shows that ensuring the reliability and validity of the use of the RAFAELA is laborious, requires several years of use and continuous investments in nurses' skills and motivation. Qualified use of PCS is challenging, and organisations should invest to maintenance, training, support and user motivation. Each patient should be classified comprehensively, and nursing resources should be calculated correctly. In addition, utilisation of the nursing intensity level should be maximised. Kuopio University Hospital organisation permit number 73/2014. Information regarding individual patients or nurses was not available to the researchers. All materials are in the form of summary tables.

The RAFAELA system: a workforce planning tool for nurse staffing and human resource management.

The RAFAELA system was developed in Finland during the 1990s to help with the systematic and daily measurement of nursing intensity (NI) and allocation of nursing staff. The system has now been rolled out across almost all hospitals in Finland, and implementation has started elsewhere in Europe and Asia. This article describes the system, which aims to uphold staffing levels in accordance with patients' care needs, and its structure, which consists of three parts: the Oulu Patient Classification instrument; registration of available nursing resources; and the Professional Assessment of Optimal Nursing Care Intensity Level method, as an alternative to classical time studies. The article also highlights the benefits of using a systematic measurement of NI.

Testing Reliability and Validity of the Oulu Patient Classification Instrument—The First Step in Evaluating the RAFAELA System in Norway

Objective: To study reliability and validity of the Finnish Oulu Patient Classification instrument in Norway. Background: The Finnish patient classification system RAFAELA consists of three parts: 1) daily patient classification of nursing intensity using the Oulu Patient Classification instrument, 2) calculation of nursing resources providing bed side care per 24 hours, and 3) Professional Assessment of Optimal Nursing Care Intensity Level. The RAFAELA system has not been tested outside of Finland. Methods: A prospective, descriptive study was performed at 5 clinical units at Oslo University Hospital during 2011-2012. The interrater reliability of the Oulu Patient Classification instrument was tested by parallel classification including 100-167 patient classifications pr. unit, and analyzed by consensus in % and using Cohen’s Kappa. Convergent validity was tested by using the average Oulu Patient Classification instrument value to predict the average Professional Assessment of Optimal Nursing Care Intensity Level for the same calendar day by linear regression analysis. Results: The Oulu Patient Classification instrument consensus of parallel classifications varied between 70.1%-89%. Cohen’s Kappa within patient classes varied between 0.57 and 0.81, representing substantial interrater reliability. The Oulu Patient Classification instrument was valid as the instrument in average explained about 38% of the variation of the Professional Assessment of Optimal Nursing Care Intensity Level. Conclusions: Patient classification systems tested for psychometric properties are needed and this study provides evidence of satisfactory reliability and validity of the Oulu Patient Classification instrument as tested outside Finland, demonstrating that this instrument has international relevance within nursing.

Nurses' Experiences of Nonpatient Factors That Affect Nursing Workload: A Study of the PAONCIL Instrument's Nonpatient Factors.

In the RAFAELA patient classification system, the professional assessment of optimal nursing care intensity level (PAONCIL) instrument is used to assess the optimal nursing intensity level per unit. The PAONCIL instrument contains an overall assessment of the actual nursing intensity level and an additional list of central nonpatient factors that may increase or decrease the total nursing workload (NWL). The aim of this cross-sectional study was to assess and determine which nonpatient factors affect nurses' experiences of their total NWL in both outpatient settings and hospitals, as captured through the PAONCIL instrument. The data material consisted of PAONCIL questionnaires from 38 units and 37 outpatient clinics at 11 strategically selected hospitals in Finland, and included nurses' answers (n = 1307) to the question of which factors, other than nursing intensity, affect total NWL. The methods for data analyses were qualitative content analyses. The nonpatient factors that affected nurses' experiences of total NWL are “organization of work,” “working conditions,” “self-control,” and “cooperation.” The actual list of nonpatient factors in the PAONCIL instrument is to a reasonable extent relevant, but the list should be improved to include nurses' actual working conditions and self-control.

Benchmarking by the RAFAELA Patient Classification system - a descriptive study of optimal nursing intensity levels.

The overall aim of the RAFAELA system is that the personnel resources should be in balance with the patients' caring needs, i.e. when the nursing intensity per nurse is on the optimal level of the unit. The RAFAELA system consists of three parts: the OPCq (Oulu Patient Classification Qualisan) instrument for measuring the nursing intensity, registration of the daily nursing resources and the PAONCIL (Professional Assessment of Optimal Nursing Care Intensity Level) method. The aim of this paper is (1) to describe the structure of benchmarking with the RAFAELA system and (2) to present comparisons of optimal nursing intensity levels in Finnish hospitals by using data from RAFAELA benchmarking reports in 2001. Totally 86 wards from 14 different hospitals in Finland took part in the study, the optimal nursing intensity had been decided for 53 wards. Data was analyzed using descriptive statistics. The average workload was on adult wards 25.2 NCI points per nurse. The optimal NCI was exceeded during 48% of the days and under during 22% of the days. An imbalance between nursing intensity and personnel resources clearly affects the care quality and the results. Benchmarking with the RAFAELA system provides nurse managers with many opportunities in their decision processes in human resource management.

Managing the optimal workload by the PAONCIL method - a challenge for nursing leadership in care of older people

The aim of the study was to test the ability of the professional assessment of optimal nursing care intensity level (PAONCIL)-method to establish the optimal nursing intensity (NI) per care giver within the care of older people by testing whether the method's prerequisites for hospital settings can be fulfilled within the care of older people as well. The PAONCIL method is included in the RAFAELA system as a method for calculating personnel resources based on NI. The PAONCIL assessments were collected through questionnaires (n = 3512). The data was analysed by simple linear regression analysis. It can be stated that the prerequisites for the PAONCIL method were fulfilled and that the optimal NI-level could be determined on seven participating units. It can be stated that the RAFAELA system is a useful system for measuring NI within the care of older people, but additional research is needed, especially within the home care setting. Although an instrument never provides a complete overview of the patient's care needs and need satisfaction, it provides information about the daily situation as well as gives guidelines for long-term strategic planning.

Are nurses? assessments of their workload affected by non-patient factors? An analysis of the RAFAELA system

To identify (1) the contribution of non-patient factors to patient classification systems and (2) the explanatory power of nursing care intensity and non-patient factors to Professional Assessment of Optimal Nursing Care Intensity Level workload. In the Rainio, Fagerström and Rauhala (RAFAELA) patient classification system, nursing care intensity per nurse is measured daily by the Oulu Patient Classification/Qualisan instrument. The optimal nursing care intensity is determined using Professional Assessment of Optimal Nursing Care Intensity Level instrument. However, nurses' workload may be affected by factors other than nursing care intensity. Therefore, RAFAELA contains 12 non-patient questions. A retrospective study of all 22 somatic wards of a secondary healthcare hospital in Finland. Non-patient questions were answered in 26% of 4870 questionnaires. They added to workload in 62%. Eight questions were grouped into four factors: administration; staff resources and mental stress; co-operation within and between units. The explanatory value between Oulu Patient Classification/Qualisan and Professional Assessment of Optimal Nursing Care Intensity Level had a median of 0.45. Including the non-patient questions raised it to 0.55. Non-patient factors affect the nurses' assessments of their workload, but less than nursing care intensity. They contribute valuable information on the functioning and problems of wards.

The Dialectic Tension Between ‘Being’ and ‘Not Being’ a Good Nurse

The aim of this hermeneutic study was to gain a broader understanding of nurses' workload and what characterizes a nurse's experience in terms of the various levels of intensity of nursing care. Twenty-nine nurses participated in seven focus groups. The interpretation process took place in six different phases and the three laws of dialectics were used as interpretation rules. An optimal nursing care intensity level can be understood as a situation characterized by the balance between the intensity of care needed by patients and the external and internal factors of the current nursing care situation. The nurses' work situation can be understood as a dialectic struggle between 'being' and 'not being' a good nurse; this can be said to be the underlying root metaphor. Nursing care can be understood as consisting of 'complex and meaningful caring situations'. Dialectics can be used as a fruitful method of revealing the complexity of clinical reality.

Determining optimal nursing intensity: the RAFAELA method.

RAFAELA is a modern system of patient classification. In the last few years the system has become widely used in Finland and has aroused international interest. It comprises three parts: (1) The Oulu Patient Classification (OPC) instrument and (2) a file on nurse resources. Using these, the daily nursing care intensity, expressed as OPC points per nurse, can be calculated. The existing nursing care intensity can then be compared with the optimal by using the third instrument, (3) the Professional Assessment of Optimal Nursing Care Intensity Level (PAONCIL). This is a daily questionnaire that nurses complete in a 2-month period at intervals every few years. The daily workload is scored from -3 to +3, where zero is the optimal level. The optimal nursing care intensity per nurse is then defined by using linear regression analysis. No expensive time studies are needed. This paper reports on a study which aimed to identify the minimum requirements for determining optimal nursing care intensity that allow the results to be accepted as correct, in terms of: length of the PAONCIL examination period, PAONCIL questionnaire response rate, explanatory power of the regression analysis and mean values of the OPC and PAONCIL instruments. The results of analyses of optimal nursing care intensity from 61 wards in eight Finnish hospitals for the period 1997-2001 are presented. The data do not contain any information about the identity of the patients. Linear regression analysis, one-way analysis of variance, t-tests and correlation analysis were used, as well as parameters of distribution of the data. The results of the analysis of optimal nursing care intensity can be regarded as reliable if the PAONCIL response rate is above 70%, the period of examination is at least 3-4 weeks, the mean PAONCIL value is below 0.65 and the explanatory power is above 25%. On the basis of the RAFAELA system, the optimal nursing care intensity of a ward can be reliably determined. The prerequisites for achieving reliable results were clear and mostly fulfilled. Because a study period shorter than that which has previously been the practice is enough, the use of this system will be easier than before. The credibility and usefulness of the RAFAELA system have thus received considerable additional confirmation.

Professional Assessment of Optimal Nursing Care Intensity Level: A New Method for Resource Allocation as an Alternative to Classical Time Studies

Professional Assessment of Optimal Nursing Care Intensity Level: A New Method for Resource Allocation as an Alternative to Classical Time Studies

Professional Assessment of Optimal Nursing Care Intensity Level

In the article a new method is presented for allocation of staff resources, 'Professional Assessment of Optimal Nursing Care Intensity Level' (PAONCIL). This method is presented as an alternative to classical time study, which has traditionally been considered to belong to systems for patient classification. By means of this method the optimal nursing care intensity level for individual wards can be established. The study comprised 8 wards, and the nurses working in these wards provided a total of 8,458 professional assessments of optimal nursing care intensity levels. The material was analysed by means of simple linear regression analysis. The nursing care intensity scores per nurse in a single ward were used as independent variables and the average PAONCIL score for the same calendar day was used as a dependent variable. The average determination coefficient for different wards were 0.37; the PAONCIL instrument thus explained 37% of the nursing care intensity/nurse variation. This corresponded to a linear correlation of 0.60. In five out of six wards for adults the optimal nursing care intensity/nurse scores were close to each other, ranging from 3.0 to 3.6. The advantage of the PAONCIL method is that it can be easily implemented in a ward, can be used time and again, is advantageous and is based on quality aspects. The PAONCIL method has been developed on the basis of a caring science perspective and can be seen as an administrative method for the nurse manager, with whose help 'good care' can become possible.

Professional assessment of optimal nursing care intensity level: a new method of assessing personnel resources for nursing care.

The primary aim of patient classification is to be able to respond to the constant variation in patients' caring needs. Systems of patient classification usually include some form of time study, e.g. work sampling or time-and-motion studies. This article deals with the pros and cons of traditional time studies and with the theoretical bases of a new method of assessing the need for staff resources for nursing, a method termed 'Professional Assessment of Optimal Nursing Care Intensity Level'. The main idea of the method is to arrive at an optimal level of nursing care intensity for a ward by means of professional assessment and daily patient classification. The optimal level of nursing care intensity is supposed to prevail when there is a balance between the patients' need for care and the hospital's staff resources. The development of this new method and an account of a pilot study carried out in two wards are presented. The results of the pilot study established that the development of the method is worth continuing in order to create an administrative tool which, by its nature, is more compatible than traditional time studies with the idea of caring from the perspective of caring science.