Designing the minimum data set of bipolar disorder: A basis for introducing the effective factors in managing, controlling, and monitoring the bipolar disorder
Volume 12, Issue 5, June 2022, Pages 1-10
. Khadijeh Moulaei, . Kambiz Bahaadinbeigy, . Shahrzad Mazhari
Abstract BACKGROUND AND AIM: Bipolar disorder (BD) is one of the most challenging psychiatric disorders
in the management area that can lead to functional, occupational, and cognitive disorders. Without
proper care, this complication can lead to profound psychological challenges and even death. The
aim of this study is to design a minimum data set (MDS) for BD.
MATERIALS AND METHODS: This descriptive cross‑sectional study was conducted in two steps.
In the first step, a survey was conducted in PubMed, Web of Science, and SCOPUS databases to
identify the demographic, managerial, and clinical data elements. Then, the required data elements
were extracted from the studies by the data extraction form and used in a questionnaire. In the
second step, to confirm the data element set, the designed questionnaire was distributed and
collected among 20 psychiatrists and subspecialists during a two‑stage Delphi technique. Descriptive
statistics (frequency and mean) were conducted to analyze the data.
RESULTS: Totally, 112 managerial and clinical data elements in 14 categories were extracted from
the studies. Based on the experts’ opinion and their consensus, 88 necessary data elements were
considered to bipolar MDS. “Medication nonadherence,” “history of suicide,” and “substance abuse
and addiction” were the most important data elements.
CONCLUSION: In this study, an MDS was designed for BD. Providing this MDS, in addition to
improving the clinical processes, it is possible to help electronic system designers and health data
managers to know what information should be included in the health systems or any kind of self‑care
or self‑management software to meet the information needs of these patients.
