Nursing minimum data sets: Findings from an umbrella review

OBJECTIVES

This study explores the evidence available on Nursing Minimum Data Sets (NMDSs) by summarising: (a) the main methodological and reporting features of the reviews published in this field to date; (b) the recommendations developed and published in such reviews regarding the NMDSs, and (c) the categories and items that should be included in the NMDSs according to the available reviews.

METHODS

An Umbrella Review was performed. A search of secondary studies published up to November 2021 that were focused on NMDSs for adult hospitalised patients was conducted using MEDLINE (via PubMed), CINAHL and Scopus databases. The included studies were critically evaluated by using the Checklist for Systematic Review and Research Syntheses. The full review process was performed according to the Preferred Reporting Items for Systematic reviews and the Meta-Analyses statement.

RESULTS

From the initial 1311 studies that were retrieved, a total of eight reviews published from 1995 to 2018 were included. Their methodological quality was variable; these reviews offered four types of recommendations, namely at the overall, clinical, research and management levels. Additionally, seven NMDSs emerged with different purposes, elements, target populations and taxonomies. A list of categories and items that should be included in NMDSs have been summarised.

CONCLUSIONS

Nurses are daily involved in the nursing care documentation; however, which elements are recorded is mainly defined at the local levels and relies on paper and pencil. NMDS might provide a point of reference, specifically in the time of health digitalisation. Alongside other priorities as underlined in available recommendations, and the need to improve the quality of the reviews in this field, there is a need to develop a common NMDS by establishing its core elements, deciding on a standardised language and identifying linkages with other datasets.

Effectiveness of individualised nutritional care plans to reduce malnutrition during hospitalisation and up to 3 months post-discharge: a systematic scoping review

OBJECTIVES

The prevalence of malnutrition after hospitalisation is reported to be 20%-45%, which may lead to adverse outcomes, as malnutrition increases the risk of complications, morbidity, mortality and loss of function. Improving the quality of nutritional treatment in hospitals and post-discharge is necessary, as hospital stays tend to be short. We aimed to identify and map studies that assess the effectiveness of individualised nutritional care plans to reduce malnutrition during hospitalisation and for the first 3 months post-discharge.

DESIGN

This was a systematic scoping review.

METHODS

We systematically searched for all types of studies in the following databases: EMBASE, MEDLINE via PubMed, and the Cumulative Index to Nursing and Allied Health Literature, with no restriction on data or publication language. We also reviewed the reference lists of the included studies. The abstracts and full articles were simultaneously screened by two independent reviewers. Differences of opinion were discussed among the two investigators, and a third reviewer assisted with the discussion until consensus was reached. Studies in which the patients received an individual nutritional care plan related to their hospital stay and were followed up post-discharge were included. We then conducted a thematic content analysis of the extracted literature.

RESULTS

Nine randomised controlled trial studies met the inclusion criteria: six were conducted in Scandinavian countries. All studies were mainly conducted among elderly patients (mean ages varied from 75 to 88 years). The review studies measured 10 different outcomes; the most common outcomes were nutritional status and readmission. Six studies reported one or more significant positive intervention effect. Inconsistent results were identified for four outcome variables.

CONCLUSIONS

Individualised nutritional care plans and follow-up home visits might improve patients' nutritional status. However, there is need for a systematic review that assesses study quality and extends the time to 6 months post-discharge.

Practical Guidance for Knowledge Synthesis: Scoping Review Methods

Scoping reviews are a useful approach to synthesizing research evidence although the objectives and methods are different to that of systematic reviews, yet some confusion persists around how to plan and prepare so that a completed scoping review complies with best practice in methods and meets international standards for reporting criteria. This paper describes how to use available guidance to ensure a scoping review project meets global standards, has transparency of methods and promotes readability though the use of innovative approaches to data analysis and presentation. We address some of the common issues such as which projects are more suited to systematic reviews, how to avoid an inadequate search and/or poorly reported search strategy, poorly described methods and lack of transparency, and the issue of how to plan and present results that are clear, visually compelling and accessible to readers. Effective pre-planning, adhering to protocol and detailed consideration of how the results data will be communicated to the readership are critical. The aim of this article is to provide clarity about what is meant by conceptual clarity and how pre-planning enables review authors to produce scoping reviews which are of high quality, reliability and readily publishable.

Scoping review protocol: effectiveness of individualised nutritional care plans to reduce malnutrition during hospitalisation and up to 3 months after discharge

INTRODUCTION

More than 20% of patients are malnourished after hospitalisation. Malnutrition may negatively impact patients' outcomes as it increases the risk of complications, morbidity, mortality and loss of function. However, hospital-initiated transitional care can improve some outcomes in hospitalised adult patients. The objective of this scoping review is to map the literature that assesses the effectiveness of individualised nutritional care plans to reduce malnutrition during hospitalisation and for the first 3 months after discharge.

METHODS AND ANALYSIS

This protocol is based on the framework outlined by Arksey and O'Malley. The search strategy was developed by a medical librarian. We will search for relevant literature from the following databases: MEDLINE via PubMed, Cumulative Index to Nursing and Allied Health Literature, and Embase. We will also search the reference lists of included studies. Two independent reviewers will screen abstracts and full articles in parallel, from the included studies using specific inclusion and exclusion criteria. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols checklist facilitated the preparation of this research protocol. The scoping review will provide a narrative account of the findings from the existing literature through thematic content analysis of the extracted literature.

ETHICS AND DISSEMINATION

Since all data will be obtained from publicly available materials, research ethics approval is not required for this scoping review. The research findings will be submitted for publication in a relevant open-access peer-reviewed journal and presented at relevant conferences.

Speaking the same language: Development of a Nutrition Minimum Data Set for healthcare professionals in primary healthcare

Providing the best possible nutritional care requires accurate and precise communication between healthcare professionals. Developing a Nutrition Minimum Data Set will inform professionals in primary healthcare of which core elements should be documented and facilitate a standardized approach to the documentation of nutritional care. A two-step methodological approach was utilized in this study: (1) a systematic scoping review was conducted to map evidence underpinning the development of a Minimum Data Set and (2) the datasources were categorized using the inductive content analysis approach. A total of 32 items were identified in the datasources. Five categories were inductively derived from the data: (1) physiologic measurements, (2) ability to eat, (3) intake, (4) stress factors and (5) factors which indirectly affect intake and needs. Organizing the documentation following the structure presented in this Minimum Data Set will contribute to a standardized terminology, which may lead to increased quality of documentation, increased continuity of care and improved health outcomes.

Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding

Evidence-based medicine often involves the identification of patients with similar conditions, which are often captured in ICD (International Classification of Diseases (World Health Organization 2013)) code sequences. With no satisfying prior solutions for matching ICD-10 code sequences, this paper presents a method which effectively captures the clinical similarity among routine patients who have multiple comorbidities and complex care needs. Our method leverages the recent progress in representation learning of individual ICD-10 codes, and it explicitly uses the sequential order of codes for matching. Empirical evaluation on a state-wide cancer data collection shows that our proposed method achieves significantly higher matching performance compared with state-of-the-art methods ignoring the sequential order. Our method better identifies similar patients in a number of clinical outcomes including readmission and mortality outlook. Although this paper focuses on ICD-10 diagnosis code sequences, our method can be adapted to work with other codified sequence data.