Developing a dashboard for surveillance of mental health admissions in the Western Cape Province of South Africa

Aim In addition to contributing to Objective 3 of the 2023─2030 National Mental Health Policy Framework and Strategic Plan regarding strengthening of research and surveillance, this paper aims to better inform resource allocation and assess capacity shortfalls by addressing Objectives 1 and 2 for building capacity and strengthening mental health services, utilising available electronic health records to develop a dashboard for monitoring mental health-related admissions in the Western Cape. Aimed at facility managers and mental health stakeholders, this dashboard facilitates contextual awareness of mental health-admission trends when identifying areas of need. Method The provincial health data centre collates electronic health records from public health facilities across the Western Cape, encompassing admissions to psychiatric wards, ICD-10 coded diagnoses, and medication dispensations. A daily updated dataset of all information relating to admissions to mental health wards is created from these sources. The admission-level data are enhanced to include metrics around inter-facility patient journeys such as length of stay, bed-occupancy rates, or re-admission rates. This dataset is visualised through a Microsoft PowerBI dashboard environment, enabling simple identification and observation of mental health admission trends by aggregating data for specialised population groups, geographical areas, and facility- or province-level metrics. Findings With admission data from 26 284 mental health-related admissions to 40 Western Cape hospitals during 2023, the dashboard allows for province-level surveillance, filterable to individual facilities. Additional pages display detailed metrics for specialist facilities, specific population groups, self-harm, and substance abuse. Conclusion The dashboard has received positive feedback from facility managers and features regularly in provincial health surveillance meetings. Intersectional collaboration with mental health service providers has been maintained to facilitate dashboard updates and expansions for areas of need. This tool has proved invaluable for monitoring and comparing facility performance and service utilisation over time, understanding interactions between mental health services, and most importantly, identifying areas of need. Additionally, the dashboard may serve as a tool to inform resource allocation to overburdened facilities.

Authors

Institutions

Publication Details

Journal
South African Health Review
Published
2025-10-09
DOI
https://doi.org/10.61473/001c.141580
Primary Topic
Mental Health Treatment and Access
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developing a dashboard for surveillance of mental health admissions in the Western Cape Province of South Africa

Hannah Hussey, Alexa Heekes, Timothy Mountford
South African Health Review
Mental Health Treatment and Access
article

Developing a dashboard for surveillance of mental health admissions in the Western Cape Province of South Africa

Hannah Hussey, Alexa Heekes, Timothy Mountford
article en

Abstract

Aim In addition to contributing to Objective 3 of the 2023─2030 National Mental Health Policy Framework and Strategic Plan regarding strengthening of research and surveillance, this paper aims to better inform resource allocation and assess capacity shortfalls by addressing Objectives 1 and 2 for building capacity and strengthening mental health services, utilising available electronic health records to develop a dashboard for monitoring mental health-related admissions in the Western Cape. Aimed at facility managers and mental health stakeholders, this dashboard facilitates contextual awareness of mental health-admission trends when identifying areas of need. Method The provincial health data centre collates electronic health records from public health facilities across the Western Cape, encompassing admissions to psychiatric wards, ICD-10 coded diagnoses, and medication dispensations. A daily updated dataset of all information relating to admissions to mental health wards is created from these sources. The admission-level data are enhanced to include metrics around inter-facility patient journeys such as length of stay, bed-occupancy rates, or re-admission rates. This dataset is visualised through a Microsoft PowerBI dashboard environment, enabling simple identification and observation of mental health admission trends by aggregating data for specialised population groups, geographical areas, and facility- or province-level metrics. Findings With admission data from 26 284 mental health-related admissions to 40 Western Cape hospitals during 2023, the dashboard allows for province-level surveillance, filterable to individual facilities. Additional pages display detailed metrics for specialist facilities, specific population groups, self-harm, and substance abuse. Conclusion The dashboard has received positive feedback from facility managers and features regularly in provincial health surveillance meetings. Intersectional collaboration with mental health service providers has been maintained to facilitate dashboard updates and expansions for areas of need. This tool has proved invaluable for monitoring and comparing facility performance and service utilisation over time, understanding interactions between mental health services, and most importantly, identifying areas of need. Additionally, the dashboard may serve as a tool to inform resource allocation to overburdened facilities.

South African Health ReviewVol. 27
University of Bern (CH), Western Cape Department of Health (ZA), University of Cape Town (ZA)
Openalex Percentile: Top 67%
Mental Health Treatment and Access
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.