Mental Health Information Reporting Assistant (MHIRA) - an open-source software facilitating evidence-based assessment for clinical services

Author:

Zimmermann Ronan1,Konjufca Jon2,Kilonzo Mrema2,Quevedo Yamil3,Blum Kathrin4,Biba Edison5,Mosha Tumaini6,Kaaya Sylvia7,Behn Alex3,Arenliu Aliriza8

Affiliation:

1. Psychiatric University Hospitals of Basel

2. University of Basel

3. Millennium Institute for Depression and Personality Research (MIDAP)

4. University of Zurich

5. Leeto Digital Agency

6. Codeblock

7. Muhimbili University of Health and Allied Sciences

8. University of Prishtina

Abstract

Abstract Evidence-based assessment (EBA) in mental health is a critical aspect of improving patient outcomes and addressing the gaps in mental health care. EBA involves the use of psychometric instruments to gather data that can inform clinical decision-making, inform policymakers, and serve as a basis for research and quality management. Despite its potential, EBA is often hindered by barriers such as workload and cost, leading to its underutilization. To simplify the application of EBA, an international team of researchers and practitioners from Tanzania, Kosovo, Chile, and Switzerland developed the Mental Health Information Reporting Assistant (MHIRA). MHIRA is an open source electronic health record that streamlines EBA by digitising psychometric instruments and organising patient data in a user-friendly manner. It provides immediate and convenient reports to inform clinical decision-making. The current article provides a comprehensive overview of the features and technical details of MHIRA, as well as insights from four implementation scenarios. The experience gained during the implementations as well as the user-feedback suggests that MHIRA has the potential to be successfully implemented in a variety of clinical contexts, and simplify the use of EBA. However, further research is necessary to establish its potential to sustainably transform healthcare services and impact patient outcomes. In conclusion, MHIRA represents an important step in promoting the widespread adoption of EBA in mental health. It offers a promising solution to the barriers that have limited the use of EBA in the past and holds the potential to improve patient outcomes and support the ongoing efforts to address gaps in mental health care.

Publisher

Research Square Platform LLC

Reference54 articles.

1. Estimating the true global burden of mental illness;Vigo D;The Lancet Psychiatry,2016

2. Global Mental Health: concepts, conflicts and controversies;Whitley R;Epidemiol Psychiatr Sci,2015

3. Advancing successful implementation of task-shifted mental health care in low-resource settings (BASIC): protocol for a stepped wedge cluster randomized trial;Dorsey S;BMC Psychiatry,2020

4. WPA guidance on steps, obstacles and mistakes to avoid in the implementation of community mental health care;Thornicroft G;World Psychiatry,2010

5. Fleming KA, Horton S, Wilson ML, Atun R, DeStigter K, Flanigan J et al. The Lancet Commission on diagnostics: transforming access to diagnostics.The Lancet. 2021;0.

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