Eight of Georgia’s nine administrative regions have physician density below WHO European benchmarks. Rural and mountainous communities face acute access barriers that urban policy frameworks consistently fail to address. PHIG proposes an evidence-based rural health workforce strategy.
“Rural health is not a peripheral problem. It is the central test of whether a health system serves the whole population or only the urban majority. Georgia is failing that test.”
Pkhakadze G. Rural Health Workforce Analysis. Tbilisi: PHIG; 2025.[1]
Introduction
Georgia’s overall physician density of 5.1 per 1,000 population masks extraordinary geographic maldistribution. Tbilisi records 8.5 physicians per 1,000 — above the EU average. Racha-Lechkhumi and Kvemo Svaneti, Georgia’s most sparsely populated mountainous region, records 0.8 per 1,000 — below the Sub-Saharan African average and below the WHO minimum threshold of 2.3 health workers (doctors, nurses, midwives combined) per 1,000.[2,3] This 10-fold urban-rural gap is the defining equity failure of the Georgian health system.
| Region | Physicians per 10,000 | Population (thousands) | Primary Sector | Distance to nearest hospital |
|---|---|---|---|---|
| Tbilisi | 85 | 1,200 | Services | <10 min |
| Adjara | 42 | 368 | Tourism, agriculture | 10–30 min |
| Imereti | 28 | 508 | Agriculture, mining | 20–60 min |
| Kvemo Kartli | 19 | 498 | Agriculture | 30–90 min |
| Samegrelo-Zemo Svaneti | 18 | 318 | Agriculture | 40–120 min |
| Shida Kartli | 16 | 274 | Agriculture | 30–90 min |
| Mtskheta-Mtianeti | 14 | 94 | Agriculture | 60–180 min |
| Kakheti | 12 | 395 | Agriculture | 30–90 min |
| Racha-Lechkhumi | 8 | 32 | Agriculture, tourism | 90–240 min |
Sources: MoLHSA Workforce Registry 2024; Geostat Regional Statistics 2024.[1,2,3]
Consequences of Rural Maldistribution
PHIG’s 2024 analysis of hospital admission data found that rural residents were 2.8 times more likely to be hospitalised for conditions that should have been managed in primary care — a measure of primary care access failure known as ambulatory care sensitive conditions (ACSCs).[4] The most common ACSCs driving this excess hospitalisation were uncontrolled hypertension (34% of rural ACSC admissions), complicated diabetes (22%), and chronic obstructive pulmonary disease exacerbation (18%) — all conditions where timely primary care management is effective and inexpensive relative to inpatient admission.[4,5]
Figure 1. Preventable Hospitalisations (ACSC): Urban vs. Rural Georgia 2024 (rate per 10,000 population)
Sources: MoLHSA hospital admissions data 2024; PHIG ACSC analysis.[4]
| Intervention | Global Evidence (WHO 2021) | Georgia Applicability | Estimated Cost (GEL/yr) |
|---|---|---|---|
| Financial incentives (30–40% salary supplement) | Strong — most effective single measure | High | GEL 18–24M for 600 rural physicians |
| Accelerated specialist training for rural posting | Moderate — conditional on career pathway | Medium | GEL 4–6M |
| Student loan forgiveness for rural service | Moderate — effective if commitment pre-licensure | Medium | GEL 8–12M |
| Housing and infrastructure support | Moderate — family welfare important | High | GEL 10–15M capital |
| Medical education: rural origin admission preference | Weak-moderate — longer timeline | High | GEL 1–2M administration |
| Telemedicine-supported rural primary care | Emerging — reduces isolation | High — tech infrastructure improving | GEL 5–8M platform |
Sources: WHO Rural Health Workforce Retention Evidence 2021; PHIG costing 2025.[1,2,5]
Figure 2. Rural Physician Density Target vs. Current: Georgian Regions 2024 and 2030 Target (per 10,000)
Conclusion
Georgia’s rural health workforce crisis is measurable, well-documented, and policy-solvable. The WHO evidence base is clear: financial incentives are the most effective single retention measure, with rural salary supplements of 30–40% shown to increase rural recruitment and retention by 18–34% in comparable contexts.[2] For Georgia, a targeted annual investment of GEL 40–60 million in rural health workforce incentives — salary supplements, housing support, telemedicine infrastructure, and rural-origin medical student preference — would narrow the urban-rural gap within five years and reduce the preventable hospitalisation rate from 2.8x to below 1.8x urban rates by 2030. The return in reduced inpatient costs alone would partially offset the investment.
References
- Pkhakadze G. Rural Health Workforce in Georgia: Analysis and Strategy. Tbilisi: PHIG; 2025.
- Ministry of Labour, Health and Social Affairs of Georgia. Workforce Registry Regional Data 2024. Tbilisi: MoLHSA; 2024.
- WHO. Increasing Access to Health Workers in Remote and Rural Areas Through Improved Retention: Global Policy Recommendations. Geneva: WHO; 2010.
- Pkhakadze G, Kalandadze N. Ambulatory care sensitive condition hospitalisation rates as a measure of primary care access failure in rural Georgia. Georgian Med J. 2025;6(1):30–38.
- Dussault G, Franceschini MC. Not enough there, too many here: understanding geographical imbalances in the distribution of the health workforce. Hum Resour Health. 2006;4:12.
Public Health Institute of Georgia
