South Dakota statewide Nursing Minimum Data Set Project

Use of standardized terminologies in clinical practice: A scoping review

AIM

To explore the use and impact of standardized terminologies (STs) within nursing and midwifery practice.

INTRODUCTION

The standardization of clinical documentation creates a potential to optimize patient care and safety. Nurses and midwives, who represent the largest proportion of the healthcare workforce worldwide, have been using nursing-specific and multidisciplinary STs within electronic health records (EHRs) for decades. However, little is known regarding ST use and impact within clinical practice.

METHODS

A scoping review of the literature was conducted (2019) across PubMed, CINAHL, Embase and CENTRAL in collaboration with the Five Country Nursing and Midwifery Digital Leadership Group (DLG). Identified studies (n = 3547) were reviewed against a number of agreed criterion, and data were extracted from included studies. Studies were categorized and findings were reviewed by the DLG.

RESULTS

One hundred and eighty three studies met the inclusion criteria. These were conducted across 25 different countries and in various healthcare settings, utilising mainly nursing-specific (most commonly NANDA-I, NIC, NOC and the Omaha System) and less frequently local, multidisciplinary or medical STs (e.g., ICD). Within the studies, STs were evaluated in terms of Measurement properties, Usability, Documentation quality, Patient care, Knowledge generation, and Education (pre and post registration). As well as the ST content, the impact of the ST on practice depended on the healthcare setting, patient cohort, nursing experience, provision of education and support in using the ST, and usability of EHRs.

CONCLUSION

Employment of STs in clinical practice has the capability to improve communication, quality of care and interoperability, as well as facilitate value-based healthcare and knowledge generation. However, employment of several different STs and study heterogeneity renders it difficult to aggregate and generalize findings.

Translation and validation of the Nursing Outcomes Classification labels and definitions for acute care nursing in Iceland

BACKGROUND

The Nursing Outcomes Classification (NOC), second edition, consists of 260 patient outcomes with definitions. This has been translated into five languages, but has not been clinically validated outside the United States of America (USA).

AIM

The aim of this paper is to describe the translation of the labels and definitions from the NOC, second edition from English to Icelandic and validation for acute-care nursing in Iceland.

METHOD

A survey that has been designed to identify nurses' perception of the percentage of patients' for whom each NOC outcome is relevant in clinical nursing practice was used for clinical validation in this study. The translation procedure involved source to target language translation, parallel comparison, pilot test and field test. Validation included test-retest to measure the reliability for each of the 260 outcome variables. Data collected from 140 clinical nurses from 54 departments within 13 nursing specialties at Landspitali University-Hospital in Iceland, in November 2001, were analysed to establish construct validity by confirmatory factor analysis. Internal consistency was calculated.

RESULTS

Translation was successful. Test-retest showed that 181 of the 260 NOC outcomes were significant (P < 0.05) and moderately or highly correlated (r > 0.50) (Pearson's correlation). The confirmatory factor analysis showed that 22 of the 29 NOC classes had only one factor at the loading criteria > or =0.30. Of the 260 outcomes, 244 had loading on one factor (> or =0.30) within its class. Internal consistency was >0.80 (Cronbach's alpha).

LIMITATIONS

Low response rate was a limitation. The indicators of each NOC outcome were not addressed.

CONCLUSION

The Icelandic version of the NOC survey is a comprehensive tool that can be applied to nursing in acute-care for research purposes as well as to prepare for the implementation of NOC in clinical information systems.

Toward Integrating a Common Nursing Data Set in Home Care to Facilitate Monitoring Outcomes Across Settings

The purpose of our research is to identify a realistic subset of North American Nursing Diagnosis Association (NANDA), Nursing Outcome Classification (NOC), and Nursing Interventions Classification (NIC) terms specific to the home care (HC) setting. A subset of 89 NOC outcomes were identified for study in HC through a baseline survey. Three research assistants then observed the care of 258 patients to whom the 89 NOC outcomes applied and recorded the associated NANDA and NIC terms. Follow-up surveys and focus groups were conducted with the nurses and research assistants. There were 81 different NANDA and 226 NIC labels used to describe study patients' care. Only 36 of the 89 NOC labels studied were deemed clinically useful for HC. We found that expert opinion about terminology usage before actual experience under practice conditions is unreliable.

Nursing Minimum Data Set development and implementation in Thailand

BACKGROUND

In 1997, the Thai Ministry of Public Health began planning to implement a national health information system. Development of the nursing component of this system is an ongoing process. The first step in developing a nursing information system is to identify an essential Nursing Minimum Data Set (NMDS).

AIM

To describe the development of a NMDS in Thailand and explore the challenges of implementing it, including the issue of the comparability with data sets in other countries, primarily the United States of America.

METHODS

The process of developing a NMDS specific to Thailand is reviewed. Strategies for implementing this data set and important issues related to it are then discussed.

FINDINGS

Although a preliminary Thai NMDS has been identified, challenges associated with its development and implementation within the Thai National health information system remain.

CONCLUSION

A Thai NMDS and its elements have been identified. The International Classification of Nursing Practice was translated and is to be used to implement the data set describing the nursing care of patients and their families. However, many issues, such as the need for conceptual translation and increasing nurses' involvement in the process, still need to be addressed in order to implement the data set successfully.

Respiratory intensive care unit resource use and outcomes in Taiwan

Based on a revision of Donabedian's classic structure, process, and outcome conceptual framework, this study examined the relationship between resource use (length of stay) and outcome (transfer status) in two respiratory intensive care units (ICUs). Medical records of respiratory ICU patients (N = 194) from a medical center in northern Taiwan were reviewed. Data collection focused on patient demographic profile (age, gender, and medical diagnosis), Acute Physiology and Chronic Health Evaluation (APACHE) score, nursing diagnoses, ICU length of stay, and transfer status. The results indicate that patients with lower APACHE scores and more nursing diagnoses had a longer ICU length of stay. In addition, both the number of nursing diagnoses and APACHE scores significantly explained the variance in the length of stay. Nonetheless, a higher APACHE score was correlated with a poor transfer status. These findings indicate that, in addition to the traditional indicators, nursing diagnoses may be a vital variable in predicting ICU length of stay. The results also imply that patients with lower APACHE scores are in better physical condition and are therefore institutionalized longer in ICUs.

The relationship among medical diagnosis, nursing diagnosis, and nursing intervention and the implications for home health care

The purpose of this study was to identify the most commonly used medical diagnoses, nursing diagnoses, and nursing interventions for home health care based on 244 patient records. Nursing interventions were categorized into three groups: assessment, instruction, and other. The results showed that for the three most commonly used medical diagnosis groups--"infectious and parasitic disease," "disease of the circulatory system," and "neoplasms"--the most related nursing diagnoses were "alteration in mobility," "alteration in cardiac status," and "alteration in comfort: pain." The most used nursing interventions were "instructions." The results indicated that nurses identified patients' physiological problems mostly in relation to medical diagnoses, and teaching was the most frequently used nursing intervention in home health care.

Analysis of patient profile in predicting home care resource utilization and outcomes

OBJECTIVES

The study identifies patient profile variables that explain variation in resource utilization and outcomes for home healthcare.

BACKGROUND

The healthcare reform and the demand for quality patient care have increased the need to identify key patient characteristics that can predict the use of resources and outcomes; however, home healthcare industry currently lacks adequate information collection to reflect these needs. This study explored both the resource use and care outcomes for nursing administrators in monitoring quality, resource distribution, and reimbursement policy decision making.

METHOD

The conceptual framework is based on Donabedian's quality care elements (structure, process, and outcome) and Nursing Minimum Data Set. This is a retrospective descriptive study design in which 244 patient records and data were obtained from a home healthcare agency located in Washington, DC. A series of stepwise and discriminant analyses was conducted for data analysis.

RESULTS

The findings indicated that the total number of nursing diagnoses and two specific nursing diagnoses (alteration in mobility and knowledge deficit in i.v. therapy) were strong predictors of overall resource use. Prognosis proved to be the strongest predictor of discharge outcomes.

CONCLUSIONS/IMPLICATIONS

The results indicated that data related to nursing diagnoses and nursing interventions can provide valuable information in predicting resource use. Prognosis made by nursing judgment was also sensitive in predicting patient outcomes. These critical data elements should be included in describing home health patient characteristics and related resource utilization and care outcomes.