Evidence map›Paper›PMID 37784115›Full record

ReviewBMC psychiatry2023

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

Ronan Zimmermann, Jon Konjufca, Peter Sakejo, Mrema Kilonzo, Yamil Quevedo, Kathrin Blum, Edison Biba, Tumaini Mosha, Marianne Cottin, Cristóbal Hernández and 3 more

Abstract readReview
In one paragraph

Review in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Ronan ZimmermannPsychiatric University Hospitals of Basel, Basel, Switzerland. ronan.zimmermann@unibas.ch.
Jon KonjufcaFaculty of Psychology, University of Basel, Basel, Switzerland.
Peter SakejoMuhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania.
Mrema KilonzoFaculty of Psychology, University of Basel, Basel, Switzerland.
Yamil QuevedoMillennium Institute for Depression and Personality Research (MIDAP), Santiago, Chile.
Kathrin BlumInstitute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland.
Edison BibaLeeto Digital Agency, Tirana, Albania.
Tumaini MoshaCodeblock, Dar Es Salaam, Tanzania.
Marianne CottinMillennium Institute for Depression and Personality Research (MIDAP), Santiago, Chile.
Cristóbal HernándezMillennium Institute for Depression and Personality Research (MIDAP), Santiago, Chile.
Sylvia KaayaMuhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania.
Aliriza ArenliuUniversity of Prishtina "Hasan Prishtina", Pristina, Kosovo.
Alex BehnMillennium Institute for Depression and Personality Research (MIDAP), Santiago, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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. Regarding low- and middle-income countries (LMIC), the implementation of EBA is recognized as a key strategy to address and close the prevalent mental health treatment gap.To simplify the application of EBA including in LMIC, 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.

Indexed as

Delivery of Health CareMental HealthHumansKosovoSwitzerlandTanzaniaDigitalElectronic health recordEvidence-based assessmentImplementation sciencesLow- and middle-income countriesMental healthOpen-sourceSoftware

Identifiers

PMID37784115
PMCPMC10544613

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.