Mental Health Minimum Dataset: A systematic review and search

Amerai, Morteza and Sadoughi, Farahnaz and Samadbeik, Mahnaz (2018) Mental Health Minimum Dataset: A systematic review and search. WORLD FAMILY MEDICINE, 16 (2). pp. 359-369.

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Abstract

Aim and Background: Mental health is one of the most important issues of human life, but the mental disorder rate increases every day. The proper management and care taking decision-makings in this area require a minimum dataset. This study aimed to create a mental health minimum dataset. Materials and Methods: This was a systematic review and search. Using databases including OVID, Science Direct, Scopus, WOS, and PubMed and Google Scholar search engine, the terms which were related to mental health minimum data were searched. Applying inclusion and exclusion criteria, the resources were selected and examined. Finally, the mental health minimum data elements were determined based on results of literature review. Results: In total, 29 studies which were conducted in 2000-2016 were included. Most of them were conducted in Australia, America, Canada, England, Malaysia, and New Zealand from 2010 onwards. The data elements which were extracted from sources were classified into two general categories: management data and clinical data. The management data including identifying information admission (22 data elements), demographics / history (19 data elements), and discharge information (12 data elements) and clinical data including SERVICE EVENT DATA (46 data elements) and patient assessment (8 data elements) had the highest and lowest number of data elements, respectively. Finally, the unnecessary data elements which were named Supporting data elements (12 data elements) were added. Among the management data elements, the Unique Identifier Number in identifying information admission section and Gender and Date of Birth in demographic data section had the highest frequency among resources. Conclusion: The mental health minimum dataset which is essential to collect and record is a critical prerequisite to create and use electronic health records, registration systems, and information systems. It also provides the same perception for concepts and data elements and covers all mental health information to be used for clinical and managerial decision-making at macro and organization levels. Due to lack of its comprehensive form, this study conducted a literature review to design a mental health minimum dataset.

Item Type: Article
Subjects: R Medicine > R Medicine (General)
Divisions: Faculty of Medicine, Health and Life Sciences > School of Medicine
Depositing User: sobhan rezaiian
Date Deposited: 07 May 2018 09:57
Last Modified: 07 May 2018 09:57
URI: http://eprints.lums.ac.ir/id/eprint/1267

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