Nursing Process Outcome Linkage Research

Maas, Meridean; Delaney, Connie W

doi:10.1097/01.mlr.0000109291.44014.cb

Cited by 20 publications

(7 citation statements)

References 49 publications

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“…Yet nursing’s contribution most often remains virtually invisible to policy-makers and healthcare managers, and many analysts consider it undervalued and understudied [3,4]. Symptomatic of the situation, data considered sensitive to nursing care are, in most cases, not represented in databases that are routinely examined for performance analysis in healthcare organizations and health policy decisions [5,6]. The causes attributed to these symptoms include poor conceptualization of nursing performance, inadequate measures of nursing contribution, inadequate information systems to capture and manipulate nursing performance data, and absence of a standardized language [7,8].…”

Section: Introductionmentioning

confidence: 99%

Conceptualizing performance of nursing care as a prerequisite for better measurement: a systematic and interpretive review

et al. 2013

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BackgroundDespite the critical role of nursing care in determining high-performing healthcare delivery, performance science in this area is still at an early stage of development and nursing’s contribution most often remains invisible to policy-makers and managers. The objectives of this study were: 1) to develop a theoretically based framework to conceptualize nursing care performance; 2) to analyze how the different components of the framework have been operationalized in the literature; and 3) to develop a pool of indicators sensitive to various aspects of nursing care that can be used as a basis for designing a performance measurement system.MethodsWe carried out a systematic review of published literature across three databases (MEDLINE, EMBASE and CINAHL), focusing on literature between 1990 and 2008. Screening of 2,103 papers resulted in final selection of 101 papers. A detailed template was used to extract the data. For the analysis, we used the method of interpretive synthesis, focusing first on 31 papers with theoretical or conceptual frameworks; the remaining 70 articles were used to strengthen and consolidate the findings.ResultsCurrent conceptualizations of nursing care performance mostly reflect a system perspective that builds on system theory, Donabedian’s earlier works on healthcare organization, and Parsons’ theory of social action. Drawing on these foundational works and the evidence collated, the Nursing Care Performance Framework (NCPF) we developed conceptualizes nursing care performance as resulting from three nursing subsystems that operate together to achieve three key functions: (1) acquiring, deploying and maintaining nursing resources, (2) transforming nursing resources into nursing services, and (3) producing changes in patients’ conditions. Based on the literature review, these three functions are operationalized through 14 dimensions that cover 51 variables. The NCPF not only specifies core aspects of nursing performance, it also provides decision-makers with a conceptual tool to serve as a common ground from which to define performance, devise a common and balanced set of performance indicators for a given sector of nursing care, and derive benchmarks for this sector.ConclusionsThe NCPF provides a comprehensive, integrated and theoretically based model that allows performance evaluation of both the overall nursing system and its subsystems. Such an approach widens the view of nursing performance to embrace a multidimensional perspective that encompasses the diverse aspects of nursing care.

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Section: Introductionmentioning

confidence: 99%

Conceptualizing performance of nursing care as a prerequisite for better measurement: a systematic and interpretive review

et al. 2013

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“…Clinical nursing datasets are now being generated in an increasing number of healthcare settings, and nurse researchers have been gradually adopting large datasets for studies on nursing quality and the effectiveness of nursing intervention [13]. Though data mining has been used more widely in the business world than in nursing and healthcare, it can be an important tool for the development of healthcare knowledge and knowledge structures.…”

Section: Introductionmentioning

confidence: 99%

Prediction Model for Health-Related Quality of Life of Elderly with Chronic Diseases using Machine Learning Techniques

et al. 2014

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ObjectivesThe purposes of this study were to identify the factors that affect the health-related quality of life (HRQoL) of the elderly with chronic diseases and to subsequently develop from such factors a prediction model to help identify HRQoL risk groups that require intervention.MethodsWe analyzed a set of secondary data regarding 716 individuals extracted from the Korea National Health and Nutrition Examination Survey from 2008 to 2010. The statistical package of SPSS and MATLAB were used for data analysis and development of the prediction model. The algorithms used in the study were the following: stepwise logistic regression (SLR) analysis and machine learning (ML) techniques, such as decision tree, random forest, and support vector machine methods.ResultsFive factors with statistical significance were identified for HRQoL in the elderly with chronic diseases: 'monthly income', 'diagnosis of chronic disease', 'depression', 'discomfort', and 'perceived health status.' The SLR analysis showed the best performance with accuracy = 0.93 and F-score = 0.49. The results of this study provide essential materials that will help formulate personalized health management strategies and develop interventions programs towards the improvement of the HRQoL for elderly people with chronic diseases.ConclusionsOur study is, to our best knowledge, the first attempt to identify the influencing factors and to apply prediction models for the HRQoL of the elderly with chronic diseases by using ML techniques as an alternative and complement to the traditional statistical approaches.

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“…This enhances nurses' accountability for their practice and makes nursing's contributions visible. [77][78][79] In fact, responsibility for patient outcomes is considerable for home care nurses because patient outcomes are strongly dependent on individual nurses' own decisions and nursing practices. 46 The importance of outcomes measurement appeared in one study as one of the most important priorities in home care nursing research, along with health policy, the use of advanced practice nurses, and models of care/best practice.…”

Section: Discussionmentioning

confidence: 99%

Developing an Electronic Nursing Record System for Clinical Care and Nursing Effectiveness Research in a Korean Home Healthcare Setting

Lee

Moorhead

2009

CIN: Computers, Informatics, Nursing

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Increased accountability requirements for the cost and quality of healthcare force nurses to clearly define and verify nursing's contributions to patient outcomes. This demand necessitates documentation of nursing care in a precise manner. An electronic nursing record system is considered a key element that enhances nurses' ability not only to record nursing care provided to patients but also to measure, report, and monitor quality and effectiveness. Home care is a growing field as nurses attempt to meet the demand for long-term care. The development of an electronic record system for home care nursing was the immediate focus of this study. We identified the nursing content required for home care nursing using standardized nursing languages and designed linkages among medical diagnoses, nursing diagnoses, nursing interventions, and nursing-sensitive outcomes within the system. Equipping an electronic nursing record system with nursing standards is particularly critical for enhancing nursing practice and for creating refined data to verify nursing effectiveness.

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Nursing Process Outcome Linkage Research

Cited by 20 publications

References 49 publications

Conceptualizing performance of nursing care as a prerequisite for better measurement: a systematic and interpretive review

Conceptualizing performance of nursing care as a prerequisite for better measurement: a systematic and interpretive review

Prediction Model for Health-Related Quality of Life of Elderly with Chronic Diseases using Machine Learning Techniques

Developing an Electronic Nursing Record System for Clinical Care and Nursing Effectiveness Research in a Korean Home Healthcare Setting

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