Abstract
Hospital beds are usually treated as little more than a headcount – a number meant to signal how ready a health system is to absorb demand. But their real functional value depends on how well they are linked to workforce, governance, and the other building blocks of the system. In Iran, national-level equity indicators look reassuring on their own (Gini coefficient ≈0.24), yet they conceal sharp sub-national disparities, with city-level inequality reaching as high as 0.68-0.70 in Shiraz. What has been missing from this literature is any account of who actually makes bed-allocation decisions, and how the relationships among these actors shape the outcomes so often described in aggregate terms.
This study combined 34 semi-structured interviews with policymakers, university leaders, and hospital managers with Social Network Analysis (SNA) to map the stakeholder network governing hospital bed allocation in Iran. The resulting network comprised 17 actors connected through 81 directed ties (density=0.298). Medical Universities showed the highest betweenness centrality (0.289), positioning them as the network’s principal structural brokers, while the Ministry of Health held the highest weighted out-degree (27), reflecting its concentrated directive influence. Political-social ties dominated the network, accounting for 43.2% of all edges, while regulatory and oversight ties were comparatively scarce (9.9%). A series of robustness checks – including sensitivity analysis across evidence thresholds and a random edge-deletion perturbation analysis with 500 iterations – confirmed that both of these central findings held up under scrutiny.
Taken together, the results suggest that Iran’s coexistence of national equity and local inequity is not merely a statistical artifact of how the data happen to be aggregated, but reflects a genuine structural problem in governance: Medical Universities, the actors best positioned to observe local need, lack authority commensurate with that position, while independent regulatory oversight remains minimal. Addressing bed-allocation inequity, then, is likely to require structural reform of decision-making authority and oversight mechanisms – not simply expanding capacity.
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