Minimum data and core outcomes for subacute rehabilitation: A scoping review

Objective In clinical practice and research, standardised sets of data and outcomes are routinely collected to facilitate data comparison, benchmarking and quality improvement. Most existing data sets are condition-specific and cannot be applied to all patients in a given clinical setting. This review aimed to determine whether the development of a minimum data set for subacute rehabilitation is feasible by collating and comparing existing rehabilitation minimum data sets and core outcome sets. Data sources Published literature was identified through database searches (Scopus, PubMed, EMBASE, CINAHL and the COMET Initiative) in September 2021. Additional data sets were identified through a grey literature search. Review methods This review was conducted in alignment with the PRISMA-ScR recommendations. Datasets were included if they were published in English, designed for adults, and intended for use in subacute rehabilitation. Data were extracted and taxonomically organised to identify commonalities. Items present in ≥50% of data sets were considered common. Results Twenty minimum data sets and seven core outcome sets were included. There were 29 common minimum data set domains, with 19 relating to Patient Information, seven relating to Outcomes, two relating to Service Delivery and one relating to Provider Demographics. Four common domains were identified within the Core Outcome Set analysis, which all related to Life Impact, specifically Physical Functioning (86%) , Emotional Functioning/Wellbeing (57%) , Social Functioning (86%) and Global Quality of Life (100%). Conclusion Common item domains in conditions requiring subacute rehabilitation have been identified, suggesting that development of a dataset for subacute rehabilitation may be feasible.

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DEVELOPING A MINIMUM DATA SET, KNOWN AS A CORE OUTCOME SET, FOR IVF RESEARCH

Fertility and Sterility ◽

10.1016/j.fertnstert.2020.08.462 ◽

2020 ◽

Vol 114 (3) ◽

pp. e161-e162

Author(s):

James M.N. Duffy ◽

Yusuf Beebeejaun ◽

Cindy Farquhar

Keyword(s):

Core Outcome Set ◽

Minimum Data Set ◽

Core Outcome ◽

Data Set ◽

Minimum Data ◽

Outcome Set

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Towards a minimum data set to assess soil organic matter quality in agricultural soils

Canadian Journal of Soil Science ◽

10.4141/cjss94-051 ◽

1994 ◽

Vol 74 (4) ◽

pp. 367-385 ◽

Cited By ~ 589

Author(s):

E. G. Gregorich ◽

M. R. Carter ◽

D. A. Angers ◽

C. M. Monreal ◽

B. H. Ellert

Keyword(s):

Organic Matter ◽

Soil Organic Matter ◽

Soil Quality ◽

Minimum Data Set ◽

Data Sets ◽

Data Set ◽

Organic Matter Quality ◽

Carbon And Nitrogen ◽

Minimum Data ◽

Soil Organic Matter Quality

Soil quality is a composite measure of both a soil’s ability to function and how well it functions, relative to a specific use. Soil quality can be assessed using a minimum data set comprising soil attributes such as texture, organic matter, pH, bulk density, and rooting depth. Soil organic matter has particular significance for soil quality as it can influence many different soil properties including other attributes of the minimum data set. Assessment of soil organic matter is a valuable step towards identifying the overall quality of a soil and may be so informative as to be included in minimum data sets used to evaluate the world’s soils.In this review, soil organic matter is considered to encompass a set of attributes rather than being a single entity. Included among the attributes and discussed here are total soil organic carbon and nitrogen, light fraction and macroorganic (particulate) matter, mineralizable carbon and nitrogen, microbial biomass, soil carbohydrates and enzymes. These attributes are involved in various soil processes, such as those related to nutrient storage, biological activity, and soil structure, and can be used to establish different minimum data sets for the evaluation of soil organic matter quality. Key words: Biological activity, minimum data set, nutrient storage, soil organic matter, soil quality, soil structure

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A Proposal for an Austrian Nursing Minimum Data Set (NMDS)

Applied Clinical Informatics ◽

10.4338/aci-2014-04-ra-0027 ◽

2014 ◽

Vol 05 (02) ◽

pp. 538-547 ◽

Cited By ~ 6

Author(s):

W.O. Hackl ◽

E. Ammenwerth ◽

R. Ranegger

Keyword(s):

Delphi Study ◽

Medical Condition ◽

Group Discussion ◽

Minimum Data Set ◽

Data Sets ◽

Nursing Assessment ◽

Data Set ◽

Nursing Outcomes ◽

Minimum Data ◽

Data Elements

SummaryObjective: Nursing Minimum Data Sets can be used to compare nursing care across clinical populations, settings, geographical areas, and time. NMDS can support nursing research, nursing management, and nursing politics. However, in contrast to other countries, Austria does not have a unified NMDS. The objective of this study is to identify possible data elements for an Austrian NMDS.Methods: A two-round Delphi survey was conducted, based on a review of available NMDS, 22 expert interviews, and a focus group discussion.Results: After reaching consensus, the experts proposed the following 56 data elements for an NMDS: six data elements concerning patient demographics, four data elements concerning data of the healthcare institution, four data elements concerning patient’s medical condition, 20 data elements concerning patient problems (nursing assessment, nursing diagnoses, risk assessment), eight data elements concerning nursing outcomes, 14 data elements concerning nursing interventions, and no additional data elements concerning nursing intensity.Conclusion: The proposed NMDS focuses on the long-term and acute care setting. It must now be implemented and tested in the nursing practice.Citation: Ranegger R, Hackl WO, Ammenwerth E. A proposal for an austrian nursing minimum data set (NMDS): A Delphi study. Appl Clin Inf 2014; 5: 538–547 http://dx.doi.org/10.4338/ACI-2014-04-RA-0027

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The uptake and use of a minimum data set (MDS) for older people living and dying in care homes: a realist review

BMC Geriatrics ◽

10.1186/s12877-021-02705-w ◽

2022 ◽

Vol 22 (1) ◽

Author(s):

Massirfufulay Kpehe Musa ◽

Gizdem Akdur ◽

Sarah Brand ◽

Anne Killett ◽

Karen Spilsbury ◽

...

Keyword(s):

Older People ◽

Care Home ◽

Realist Review ◽

Care Homes ◽

Minimum Data Set ◽

Data Sets ◽

Term Care ◽

Data Set ◽

Care Home Staff ◽

Minimum Data

Abstract Background Care homes provide long term care for older people. Countries with standardised approaches to residents’ assessment, care planning and review (known as minimum data sets (MDS)) use the aggregate data to guide resource allocation, monitor quality, and for research. Less is known about how an MDS affects how staff assess, provide and review residents’ everyday care. The review aimed to develop a theory-driven understanding of how care home staff can effectively implement and use MDS to plan and deliver care for residents. Methods The realist review was organised according to RAMESES (Realist And Meta-narrative Evidence Synthesis: and Evolving Standards) guidelines. There were three overlapping stages: 1) defining the scope of the review and theory development on the use of minimum data set 2) testing and refining candidate programme theories through iterative literature searches and stakeholders’ consultations as well as discussion among the research team; and 3) data synthesis from stages 1 and 2. The following databases were used MEDLINE via OVID, Embase, CINAHL (Cumulative Index to Nursing and Allied Health Literature), ASSIA [Applied Social Sciences Citation Index and Abstracts]) and sources of grey literature. Results Fifty-one papers informed the development of three key interlinked theoretical propositions: motivation (mandates and incentives for Minimum Data Set completion); frontline staff monitoring (when Minimum Data Set completion is built into the working practices of the care home); and embedded recording systems (Minimum Data Set recording system is integral to collecting residents’ data). By valuing the contributions of staff and building on existing ways of working, the uptake and use of an MDS could enable all staff to learn with and from each other about what is important for residents’ care Conclusions Minimum Data Sets provides commissioners service providers and researchers with standardised information useful for commissioning planning and analysis. For it to be equally useful for care home staff it requires key activities that address the staff experiences of care, their work with others and the use of digital technology. Registration PROSPERO registration number CRD42020171323.

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Child abuse and neglect surveillance systems via minimum data set indicators

PsycEXTRA Dataset ◽

10.1037/e578482014-143 ◽

2013 ◽

Author(s):

Athanasios Ntinapogias ◽

George Nikolaidis

Keyword(s):

Child Abuse ◽

Child Abuse And Neglect ◽

Minimum Data Set ◽

Surveillance Systems ◽

Data Set ◽

Minimum Data ◽

Abuse And Neglect

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State Medical Boards' Perceptions of a Minimum Data Set and Current Practices for Collecting Physician Information

Journal of Medical Regulation ◽

10.30770/2572-1852-99.4.40 ◽

2013 ◽

Vol 99 (4) ◽

pp. 40-45 ◽

Cited By ~ 1

Author(s):

Aaron Young ◽

Philip Davignon ◽

Margaret B. Hansen ◽

Mark A. Eggen

Keyword(s):

Media Coverage ◽

The United States ◽

Minimum Data Set ◽

Direct Patient Care ◽

Physician Workforce ◽

Data Set ◽

Minimum Data ◽

State Medical Boards ◽

The Impact ◽

Current Practices

ABSTRACT Recent media coverage has focused on the supply of physicians in the United States, especially with the impact of a growing physician shortage and the Affordable Care Act. State medical boards and other entities maintain data on physician licensure and discipline, as well as some biographical data describing their physician populations. However, there are gaps of workforce information in these sources. The Federation of State Medical Boards' (FSMB) Census of Licensed Physicians and the AMA Masterfile, for example, offer valuable information, but they provide a limited picture of the physician workforce. Furthermore, they are unable to shed light on some of the nuances in physician availability, such as how much time physicians spend providing direct patient care. In response to these gaps, policymakers and regulators have in recent years discussed the creation of a physician minimum data set (MDS), which would be gathered periodically and would provide key physician workforce information. While proponents of an MDS believe it would provide benefits to a variety of stakeholders, an effort has not been attempted to determine whether state medical boards think it is important to collect physician workforce data and if they currently collect workforce information from licensed physicians. To learn more, the FSMB sent surveys to the executive directors at state medical boards to determine their perceptions of collecting workforce data and current practices regarding their collection of such data. The purpose of this article is to convey results from this effort. Survey findings indicate that the vast majority of boards view physician workforce information as valuable in the determination of health care needs within their state, and that various boards are already collecting some data elements. Analysis of the data confirms the potential benefits of a physician minimum data set (MDS) and why state medical boards are in a unique position to collect MDS information from physicians.

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