Minimum data set development for a drug poisoning registry system

Designing a minimum data set for the information management system (registry) of spinal canal stenosis: An applied-descriptive study

Background and Aims

Spinal canal stenosis is one of the most common vertebral column diseases, which can lead to disability. Developing a registry system can help in research on the prevention and effective treatment of it. This study designs a minimum data set (MDS) as the first step in creating a registry system for spinal canal stenosis.

Method

The present research is of applied-descriptive type, performed in 2022. First, the applicable data elements about the disease were selected from a vast range of English and Farsi references, including peer reviewed articles, academic books, credible websites, and medical records of hospitalized patients. Through the extracted data, the primary MDS plan was designed as a questionnaire. The validity of the questionnaire was conducted via asking the opinion of experts (neurosurgeons, physiotherapists, epidemiologists, and health information management specialists). Also, its reliability was calculated via Cronbach ⍺ coefficient, which was 86%. Finally, the MDS of the spinal canal stenosis national registry system (for Iran) was confirmed through a two stage Delphi technique. Data analysis was applied through descriptive statistics via SPSS21 software.

Results

The proposed MDS is offered in two general sets of data: administrative and clinical. For the administrative data set, 40 data elements had been proposed, as five classes. Twenty-six of them were confirmed. In the clinical section, 95 data elements had been proposed in 14 classes; 94 of which were finally confirmed.

Conclusion

Since there is no spinal canal stenosis MDS available, this study can be a turning point in the standardization of the data on this disease. Moreover, these precise, coherent, and standard data elements can be contributed to improving disease management and enhancing the public healthcare quality. Also, the MDS proposed in this study can help researchers and experts, design a spinal canal stenosis registry system in other countries.

A data set for the design and implementation of the upper limb disability registry

BACKGROUND

If the data elements needed for patient registries are not identified, designing and implementing them can be very challenging. Identifying and introducing a Data Set (DS) can help solve this challenge. The aim of this study was to identify and present a DS for the design and implementation of the upper limb disability registry.

MATERIALS AND METHODS

This cross-sectional study was conducted in two phases. In the first phase, to identify the administrative and clinical data elements required for registry, a comprehensive study was conducted in PubMed, Web of Science, and Scopus databases. Then, the necessary data elements were extracted from the studies and a questionnaire was designed based on them. In the second phase, in order to confirm the DS, the questionnaire was distributed to 20 orthopedic, physical medicine and rehabilitation physicians and physiotherapists during a two-round Delphi. In order to analyze the data, the frequency and mean score of each data element were calculated. Data elements that received an agreement more than 75% in the first or two-round Delphi were considered for the final DS.

RESULTS

A total of 81 data elements in five categories of "demographic data", "clinical presentation", "past medical history", "psychological issues", and "pharmacological and non-pharmacological treatments" were extracted from the studies. Finally, 78 data elements were approved by experts as essential data elements for designing a patient registry for upper limb disabilities.

CONCLUSION

In this study, the data elements necessary for the design and implementation of the upper limb disability registry were suggested. This DS can help registry designers and health data administrators know what data needs to be included in the registry system in order to have a successful design and implementation. Moreover, this standardized DS can be effective for integrating and improving the information management of people with upper limb disabilities and used to accurately gather the upper limb disabilities data for research and policymaking purposes.

Developing the minimum data set of the corrosive ingestion registry system in Iran

Background

Corrosive ingestion is still a major health problem, and its outcomes are often unpredicted. The implementation of a registry system for poisoning with corrosive substances may improve the quality of patient care and might be useful to manage this type of poisoning and its complications. Therefore, our study aimed to establish a minimum data set (MDS) for corrosive ingestion.

Methods

This was an applied study performed in 2022. First, a literature review was conducted to identify the potential data items to be included in the corrosive ingestion MDS. Then, a two-round Delphi survey was performed to attain an agreement among experts regarding the MDS content, and an additional Delphi step was used for confirming the final MDS by calculating the individual item content validity index (CVI) and content validity ratio (CVR) and by using other statistical tests.

Results

After the literature review, 285 data items were collected and sent to a two-round Delphi survey in the form of a questionnaire. In total, 75 experts participated in the Delphi stage, CVI, kappa, and CVR calculation. Finally, the MDS of the corrosive ingestion registry system was identified in two administrative and clinical sections with 21 and 152 data items, respectively.

Conclusions

The development of an MDS, as the first and most important step towards developing the corrosive ingestion registry, can become a standard basis for data collection, reporting, and analysis of corrosive ingestion. We hope this MDS will facilitate epidemiological surveys and assist policymakers by providing higher quality data capture to guide clinical practice and improve patient-centered outcomes.

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.

Development a national minimum data set for poisoning registry in Iran

OBJECTIVES

In the developing countries with high mortality rates, poisoning is considered to be one of the most common causes of admission to emergency wards. Given the importance of registering data on poisoned patients, it is very important to have a complete poisoning Minimum Data Set (MDS). Therefore, the purpose of this study was to determine an MDS for poisoning registry in Iran.

METHODS

This applied and cross-sectional study was conducted through of Delphi technique in the poisoning ward of Imam Reza Hospital (northeastern Iran) in 2019. Literature reviews were initially carried out on such databases as PubMed, Web of Sciences, Scopus, and Embase. Then, Google search was done to retrieve poisoning forms and poisoning registry websites. Also, we considered International Classification of Diseases, 10th Revision coding guidelines of poisoning. Then, a questionnaire containing data elements of poisoning was developed.

RESULTS

In total, 558 data elements were developed during two rounds of Delphi technique. The MDS was divided into 10 categories including patient and communication data, encounter data, diagnostic data and medical history, exposure data, clinical data, treatment data, complications, paraclinical tests, biobank, and discharge data.

CONCLUSIONS

Establishing an MDS as the first and most important step towards implementing poisoning registry can be the standard basis for collecting poisoned patient data. The data registered in the poisoning registry can be used for planning, policy-making, prevention, and control purposes.