Back

An estimation of the health-cost of unfilled medical positions in Malawi: A Thanzi La Onse Mathematical Modelling study.

Perinpakumar, A.; She, B.; Mangal, T.; Mohan, S.; Chalkley, M.; Colbourn, T.; Collins, J. H.; Graham, M. M.; Janouskova, E.; Nkhoma, D.; Twea, P. D.; Phillips, A. N.; Revill, P.; Tamuri, A. U.; Mfutso-Bengo, J.; Hallett, T. B.; Molaro, M.

2026-06-02 public and global health
10.64898/2026.05.25.26353761 medRxiv
Show abstract

Background Malawis healthcare system faces strain due to an insufficient number of healthcare workers (HCWs). The number of HCWs currently employed falls below the Malawian governments own facility-based staffing standards, which are known as the establishment target. While vacancy rates from this target have been estimated, the health consequences of this workforce gap on the population have not. Methods This study quantifies the health-cost of unfilled establishment HCW positions using the Thanzi La Onse (TLO) model, an "all diseases - whole healthcare system" individual-based model, which self-consistently accounts for the dynamics between health system constraints and population health. We constructed two staffing scenarios: one (Current) in which the currently employed staff are represented, and another (Target) where all positions planned under the establishment target are filled. Using the TLO model, we then estimate the health impact of filling all establishment positions as the difference in the Disability-Adjusted Life Years (DALYs) incurred between the two scenarios. Results Our results indicate that fulfilling Target positions could reduce the health losses by 13.6% (43.1 million DALYs averted, 95% CI: 40.8-48.6) over the projection period. The largest proportional reductions are for DALYs caused by HIV/AIDS (41%), tuberculosis (26%), and malaria (24%) compared to the Current provision. Conclusions The analysis shows the potential health benefits associated with increasing the fulfilment of establishment positions in Malawi and offers key quantifications for policymakers as they strive to achieve Universal Health Coverage.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 15%
12.5%
2
PLOS Global Public Health
293 papers in training set
Top 0.7%
12.5%
3
BMJ Global Health
98 papers in training set
Top 0.3%
10.1%
4
The Lancet Global Health
24 papers in training set
Top 0.2%
4.8%
5
BMC Health Services Research
42 papers in training set
Top 0.4%
4.8%
6
Frontiers in Public Health
140 papers in training set
Top 1%
4.8%
7
The American Journal of Tropical Medicine and Hygiene
60 papers in training set
Top 0.8%
4.8%
50% of probability mass above
8
Malaria Journal
48 papers in training set
Top 0.5%
4.3%
9
BMJ Open
554 papers in training set
Top 6%
3.6%
10
Epidemics
104 papers in training set
Top 0.5%
3.6%
11
BMC Medicine
163 papers in training set
Top 3%
2.1%
12
BMC Public Health
147 papers in training set
Top 3%
1.9%
13
Journal of Global Health
18 papers in training set
Top 0.2%
1.7%
14
Scientific Reports
3102 papers in training set
Top 58%
1.7%
15
Journal of the International AIDS Society
20 papers in training set
Top 0.2%
1.7%
16
BMC Infectious Diseases
118 papers in training set
Top 3%
1.5%
17
Tropical Medicine & International Health
15 papers in training set
Top 0.4%
1.3%
18
JMIR Public Health and Surveillance
45 papers in training set
Top 2%
1.2%
19
Wellcome Open Research
57 papers in training set
Top 1%
1.2%
20
Clinical Infectious Diseases
231 papers in training set
Top 4%
0.9%
21
PeerJ
261 papers in training set
Top 12%
0.9%
22
Transactions of The Royal Society of Tropical Medicine and Hygiene
16 papers in training set
Top 0.5%
0.8%
23
International Journal of Infectious Diseases
126 papers in training set
Top 3%
0.8%
24
Epidemiology and Infection
84 papers in training set
Top 3%
0.7%
25
One Health
29 papers in training set
Top 1%
0.7%
26
PLOS Neglected Tropical Diseases
378 papers in training set
Top 6%
0.6%
27
The Lancet Public Health
20 papers in training set
Top 0.8%
0.6%
28
Heliyon
146 papers in training set
Top 8%
0.6%