update to OA link for Sakshi paper

Author: tbhallett

docs/publications.bib

@@ -1,4 +1,23 @@
 
+@article{mohan_estimating_2026,
+	title = {Estimating {System}-{Wide} {Healthcare} {Costs} {Using} a {Health} {System} {Model}: {Application} to the {Thanzi} {La} {Onse} {Model} of {Malawi}},
+	issn = {1175-5652, 1179-1896},
+	shorttitle = {Estimating {System}-{Wide} {Healthcare} {Costs} {Using} a {Health} {System} {Model}},
+	url = {https://eprints.whiterose.ac.uk/id/eprint/240743/7/Health_System_Cost_Estimation_using_TLO_model-Accepted_Manuscript.pdf},
+	doi = {10.1007/s40258-026-01030-w},
+	abstract = {Objectives: Modelling approaches that consider system-wide delivery platforms rather than single diseases can be instrumental in economic evaluation and forward-looking policy formulation. This study develops a costing approach tailored to the Thanzi La Onse (TLO) model of Malawi’s healthcare system, with general applicability to other health system models.
+Methods: We developed a mixed-method costing approach to estimate the total cost of healthcare delivery (excluding high-level administrative costs) in Malawi using the TLO model, from a healthcare provider perspective. Through iterative adjustments of key parameters, we aligned model-based estimates as closely as possible with real-world expenditure and budget data. Costs were projected for 2023–2030 under alternative scenarios of health system capacity.
+Results: A comparison with expenditure and budget data suggests our costing method is broadly reliable for the conditions captured by the model, though some mismatches remain due to data limitations and definitional inconsistencies. Under current system capacity, total healthcare delivery costs for 2023–2030 were estimated at \$2.83 billion [95\% uncertainty interval (CI), \$2.80b - \$2.87b], averaging \$390.98 million [\$385.92m - \$396.71m] annually or \$16.89 [\$16.75 - \$17.08] per capita. Scenario analysis highlighted strong interdependencies within the health system. Improving consumable availability alone increased consumables costs by 4.63\%, while expanding human resources for health (HRH) alone increased them by 1.43\%. When both HRH and consumable availability were expanded together, consumable costs rose by 5.93\%, a combined effect larger than either change alone, illustrating how bottlenecks in one component constrain the impact of improvements in another.
+Conclusion: Mixed-method costing using health system models is a feasible and robust method to estimate and forecast healthcare delivery costs. Clarifying assumptions and limitations can improve their utility for economic analyses and evidence-based planning in the health sector.},
+	language = {en},
+	urldate = {2026-05-08},
+	journal = {Applied Health Economics and Health Policy},
+	author = {Mohan, Sakshi and Chagoma, Newton and Walker, Simon and Arega, Christian Abraham and Chalkley, Martin and Collins, Joseph and Connolly, Emilia and Colbourn, Tim and Janoušková, Eva and Mangal, Tara D. and Manthalu, Gerald and Mfutso-Bengo, Joseph and Molaro, Margherita and Nkhoma, Dominic and Phillips, Andrew and Sharma, Lalit and She, Bingling and Tafesse, Wiktoria and Twea, Pakwanja Desiree and Revill, Paul and Hallett, Timothy B.},
+	month = may,
+	year = {2026},
+	keywords = {Overview of the model},
+}
+
 @misc{she_where_2026,
 	title = {Where does healthcare worker time go? {Evidence} from a time-and-motion study in {Malawi}},
 	copyright = {© 2026, Posted by openRxiv. This pre-print is available under a Creative Commons License (Attribution 4.0 International), CC BY 4.0, as described at http://creativecommons.org/licenses/by/4.0/},
@@ -17,11 +36,11 @@ @misc{she_where_2026
 	keywords = {Data Collection - Protocol and Analyses},
 }
 
-@article{mohan_estimating_2026,
+@article{mohan_estimating_2026-1,
 	title = {Estimating {System}-{Wide} {Healthcare} {Costs} {Using} a {Health} {System} {Model}: {Application} to the {Thanzi} {La} {Onse} {Model} of {Malawi}},
 	issn = {1175-5652, 1179-1896},
 	shorttitle = {Estimating {System}-{Wide} {Healthcare} {Costs} {Using} a {Health} {System} {Model}},
-	url = {https://link.springer.com/10.1007/s40258-026-01030-w},
+	url = {https://eprints.whiterose.ac.uk/id/eprint/240743/},
 	doi = {10.1007/s40258-026-01030-w},
 	abstract = {Objectives Modelling approaches that consider system-wide delivery platforms rather than single diseases can be instrumental in economic evaluation and forward-looking policy formulation. This study develops a costing approach tailored to the Thanzi La Onse (TLO) model of Malawi’s healthcare system, with general applicability to other health system models.
 Methods We developed a mixed-method costing approach to estimate the total cost of healthcare delivery (excluding highlevel administrative costs) in Malawi using the TLO model, from a healthcare provider perspective. Through iterative adjustments of key parameters, we aligned model-based estimates as closely as possible with real-world expenditure and budget data. Costs were projected for 2023–2030 under alternative scenarios of health system capacity.
@@ -131,25 +150,6 @@ @misc{murray-watson_modelling_2025
 	keywords = {Analyses using the model},
 }
 
-@misc{mohan_method_2025,
-	title = {Method for costing a health system using a {Health} {Systems} {Model}},
-	copyright = {© 2025, Posted by Cold Spring Harbor Laboratory. This pre-print is available under a Creative Commons License (Attribution 4.0 International), CC BY 4.0, as described at http://creativecommons.org/licenses/by/4.0/},
-	url = {https://www.medrxiv.org/content/10.1101/2025.01.22.25320881v1},
-	doi = {10.1101/2025.01.22.25320881},
-	abstract = {Objectives Modelling approaches that consider system-wide delivery platforms rather than single diseases are increasingly recognized as crucial for the economic evaluation of policy and investment choices and can be instrumental in forward-looking policy formulation. This paper develops a costing approach tailored to one such model, the Thanzi La Onse (TLO) model of Malawi’s healthcare system, to estimate healthcare delivery costs under varying health system assumptions.
-Methods We developed a mixed-method costing approach to estimate the total cost of healthcare delivery in Malawi using the TLO model, from a healthcare provider perspective. Through an iterative adjustment of key costing parameters, we attempted to align our model-based estimates with real-world expenditure and budget data. Costs were estimated over an 8-year period (2023–2030) under alternative scenarios of health system capacity, including supply chain performance and the size of the health workforce.
-Results A detailed comparison of our cost estimates against expenditure and budget data demonstrates the reliability of our costing method and assumptions, for the conditions and resources captured by the model. Under current health system capacity, the total cost of healthcare delivery in Malawi between 2023 and 2030 was estimated at \$1.53 billion [95\% confidence interval, \$1.51b -\$1.54b], which translates to an average annual cost of \$309.83 million [\$306.17m -\$313.56m]. The estimation of costs under alternative scenarios demonstrates the importance of capturing feedback effects to correctly forecast healthcare costs.
-Conclusion Mixed-method costing used within health system models, such as TLO, is a feasible and robust method for estimating healthcare delivery costs. This approach can provide valuable insights for health sector planning and resource allocation.},
-	language = {en},
-	urldate = {2025-11-06},
-	publisher = {medRxiv},
-	author = {Mohan, Sakshi and Mangal, Tara D. and Manthalu, Gerald and Mfutso-Bengo, Joseph and Molaro, Margherita and Nkhoma, Dominic and She, Bingling and Tafesse, Wiktoria and Twea, Pakwanja Desiree and Walker, Simon and Chalkley, Martin and Colbourn, Tim and Hallett, Timothy B. and Phillips, Andrew and Revill, Paul},
-	month = jan,
-	year = {2025},
-	note = {Pages: 2025.01.22.25320881},
-	keywords = {overview of the model},
-}
-
 @article{murray-watson_impact_2025,
 	title = {The impact of precipitation on {ANC} service utilisation and healthcare access in {Malawi}},
 	volume = {15},