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

Håkonsen, Sasja Jul; Pedersen, Preben Ulrich; Bygholm, Ann; Peters, Micah D J; Bjerrum, Merete

doi:10.1177/1460458218824707

Cited by 13 publications

(10 citation statements)

References 105 publications

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“…(2019) defined a Minimum Data Set for Nutrition that included: (a) physiologic measurements; (b) ability to eat; (c) intake; (d) stress factors; and (e) factors which indirectly affect older people's protein‐ and energy‐intake and needs. The literature supports that a standardized language empowers healthcare professionals, as "communicating nutrition‐related observations with relevant stakeholders, such as nurses, dieticians, general practitioners and the management," is of primary importance (Håkonsen et al., 2019, p. 11). It is within the domain of nursing to assess appetite, weight loss and eating behaviours (Mirmiran et al., 2011).…”

Section: Discussionmentioning

confidence: 99%

Developing a nursing diagnosis for the risk for malnutrition: a mixed‐method study

Brunner

Mayer²,

Dietrich

et al. 2021

Nursing Open

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Aim As the risk for malnutrition in older people in hospitals is often underreported, we aimed to develop a risk nursing diagnosis, including label, definition and risk factors. Design A convergent parallel mixed‐methods design was employed. Methods A literature review led to risk factors, validated by 22 hospitalized older people's perspectives and observations, including their nursing records. Per participant, one interview (qualitative), one non‐participatory observation of three meals (198 hr; qualitative) and one nursing record evaluation (quantitative) were conducted. Findings According to the classification system of NANDA International, the risk for protein–energy malnutrition is defined with 18 risk factors, including associated conditions. Content validated risk factors are presented from three participants with the most, medium and least coherent nursing record, measured with the Quality of Diagnosis, Intervention and Outcomes tool. Conclusion This new nursing diagnosis supports nurses to manage the risk for malnutrition and optimize older people's nutrition.

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Section: Discussionmentioning

confidence: 99%

Developing a nursing diagnosis for the risk for malnutrition: a mixed‐method study

Brunner

Mayer²,

Dietrich

et al. 2021

Nursing Open

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“…Data sharing and interoperability can improve by using a proper MDS. 26,27 Therefore, the development of MDS by standardization of data element is essential.…”

Section: Discussionmentioning

confidence: 99%

Minimum data set development for a drug poisoning registry system

et al. 2019

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Objective: Drug poisoning is the most prevalent type of poisoning throughout the world that can occur intentional or unintentional. Standard way for data gathering with uniform definitions is a requirement for preventing, controlling and managing of drug poisoning management. The purpose of this study was to develop a minimum data set, as an initial step, for a drug poisoning registry system in Iran. Methods: This was descriptive and cross-sectional study that was performed in 2019. As the first step a comprehensive literature review was performed to retrieve related resources in Persian and English languages. For the second step the medical records of drug poisoning patients at Afzalipour hospital affiliated to Kerman University of Medical Sciences were assessed. Related data from these two steps were gathered by a checklist. Finally, a questionnaire that was created based on the checklist data elements and had three columns of 'essential,' 'useful, but not essential', and 'not essential' was used to reach a consensus on the data elements. Then the content validity ratio and the mean of experts' judgments were calculated for each data element. The Cronbach's alpha value for the entire questionnaire was obtained 0.9. Results: The minimum data set of a drug poisoning registry system was categorised into the administrative part with three sections including 32 data elements, and clinical parts with six sections including 81 data elements. Conclusion: This study provides a minimum data set for development of a drug poisoning registry system. Collecting this minimum data set is critical for helping policy makers and healthcare providers to prevent, control and manage drug poisoning.

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“…MDSs share a common language and are designed to support an integrated system of care that can support cross-sector clinical and managerial decision-making (29). The purpose of all MDSs, as main health data elements, is to ensure comparability and conformity of the data using standard data elements with uniform definitions (30). Also, the MDSs are the foundation of information systems and registries to improve the communication between individuals and organizations involved in the care plans (31,32).…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of the Iranian Neonatal Prematurity Minimum Data Set (IMSPIMDS): A Systematic Review Using Focus Group Discussion and the Delphi Technique

Pahlevanynejad

Danaei

Kahouei

et al. 2022

JPR

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Background: Information systems help to collect information about patients. The minimum data set (MDS) provides the basis for decision-making. Objectives: This study was conducted to determine the comprehensive national MDS for prematurity information management system (IMSPIMDS) in Iran. Methods: This research is a cross-sectional study with three steps including systematic review, focus group discussion, and Delphi technique. A systematic review was conducted in relevant databases. Then a focus group discussion was used to classify the extracted data elements by contributing specializing in various fields experts. Finally, MDSs were chosen through the decision Delphi technique in two rounds. Collected data were analyzed using IBM statistics SPSS 26. Results: In total, 233 data elements were included in the Delphi survey. The data elements based on the experts’ opinions, were classified into two main categories including maternal and newborn. The final data elements categories were 107 and 126. Conclusions: The existence of national MDS as the core of the premature newborn surveillance program is essential and leads to appropriate decisions. We developed and internally validated a minimum data set for prematurity researches. This study generated new knowledge to enable healthcare systems professionals to collect relevant and meaningful. The use of this standardized approach can help benchmark clinical practice and target improvements worldwide.10.32598/jpr.10.1.986.1

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

Cited by 13 publications

References 105 publications

Developing a nursing diagnosis for the risk for malnutrition: a mixed‐method study

Developing a nursing diagnosis for the risk for malnutrition: a mixed‐method study

Minimum data set development for a drug poisoning registry system

Development and Validation of the Iranian Neonatal Prematurity Minimum Data Set (IMSPIMDS): A Systematic Review Using Focus Group Discussion and the Delphi Technique

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