Updates to docs

docs/data_collection.rst

@@ -5,7 +5,12 @@ Data Collection
 
 Access the TLM Study Datasets `here <https://github.com/HEPUMW/TLM-data-release/releases/tag/tlmdata_v1>`_.
 
-TLM used a cross-sectional, mixed-methods approach to collect data on healthcare worker productivity, patient experiences, facility resources, and care quality. The TLM datasets in this repository include information from 30 health facilities sampled across Malawi, covering facility audits, patient exit interviews, follow-ups, and a time and motion study, conducted from January to May 2024. Please see `Nkhoma et al. <https://www.medrxiv.org/content/10.1101/2024.11.14.24317330v1>`_, for full details.
+TLM used a cross-sectional, mixed-methods approach to collect data on healthcare worker productivity, patient
+experiences, facility resources, and care quality. The TLM datasets in this repository include information from 30
+health facilities sampled across Malawi, covering facility audits, patient exit interviews, follow-ups, and a time and
+motion study, conducted from January to May 2024. Please see
+`Nkhoma et al. <https://wellcomeopenresearch.org/articles/11-155/v1>`_,
+for full details.
 
 
 

docs/publications.bib

@@ -1,3 +1,24 @@
+@misc{janouskova_cost-effectiveness_2026,
+	title = {Cost-effectiveness of addressing constraints in childhood acute malnutrition management in {Malawi} using the \textit{{Thanzi} {La} {Onse}} health system simulation framework},
+	copyright = {http://creativecommons.org/licenses/by/4.0/},
+	url = {http://medrxiv.org/lookup/doi/10.64898/2026.03.05.26347696},
+	doi = {10.64898/2026.03.05.26347696},
+	abstract = {Background
+            Acute malnutrition remains a major public health challenge among children under five in Malawi due to undetected and untreated cases. While several policies and programmes are in place, they face significant resource input and implementation constraints. In this study, we evaluate the potential health impact and cost-effectiveness of three interventions designed to address constraints along the care pathway in childhood acute malnutrition management. These include improving early recognition of symptoms by caregivers, increasing attendance at routine growth monitoring visits through community outreach, and scaling up the availability of therapeutic food supplements.
+            Methods and Findings
+              We use a newly developed model representing the natural history and management of acute malnutrition, implemented within the
+              Thanzi La Onse
+              (TLO) dynamic individual-based simulation framework, which captures the public health system in Malawi. Each of the three interventions is assessed both individually and in combination, translated into seven scenarios which we evaluate in comparison to the status quo. The optimal strategy combines two interventions, improved caregiver awareness of early symptoms with increased availability of therapeutic food supplements. Over five years, this strategy is predicted to avert 840,470 (95\% CI: 682,057–998,883) DALYs with total incremental costs of \$34 million. This corresponds to an annual health expenditure increase of \$0.32 per capita. At a cost-effectiveness threshold of \$76 per DALY averted, the strategy results in an incremental net health benefit of 394,252 (95\% CI: 235,839–552,665) DALYs averted.
+            Conclusions
+            The cost-effective strategy for addressing constraints in childhood acute malnutrition management is simultaneously improving caregiver recognition of early symptoms and expanding therapeutic food supplement availability. Out of the seven scenarios evaluated, this integrated approach was found to be the optimal strategy within the Malawian public health system, yielding substantial health at modest costs. These findings provide critical evidence to inform national policy and guide investment prioritisation for the management of childhood acute malnutrition.},
+	language = {en},
+	urldate = {2026-03-11},
+	publisher = {medRxiv},
+	author = {Janoušková, Eva and Li Lin, Ines and Mnjowe, Emmanuel and Mulwafu, Watipaso and Connolly, Emilia and Mohan, Sakshi and Nkhoma, Dominic and Seal, Andrew and Mfutso-Bengo, Joseph and Chalkley, Martin and Collins, Joseph and Mangal, Tara D and Mphamba, Pemphero N and Murray-Watson, Rachel E and Phuka, John and She, Bingling and Tamuri, Asif U and Phillips, Andrew and Revill, Paul and Hallett, Timothy B and Colbourn, Tim},
+	month = mar,
+	year = {2026},
+	keywords = {Analyses using the model},
+}
 
 @misc{collins_healthcare_2025,
 	title = {Healthcare service user-reported quality of care in {Malawi}: a national multi-facility cross-sectional study},