Evidence map›Paper›PMID 41915635›Full record

ArticleHealth policy and planning2026

Examining supplier-induced demand under regulated fees: dynamic panel evidence from Iran.

Cyrus Alinia, Hasan Yusefzadeh

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Article in Health policy and planning, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Cyrus AliniaDepartment of Health Economics and Management, School of Public Health, Urmia University of Medical Sciences, Nazlu Road Campus (Kilometer 11 of Sarv Road), Urmia 57561-15198, West Azerbaijan Province, Iran.ORCID 0000-0002-5387-3134
Hasan YusefzadehDepartment of Health Economics and Management, School of Public Health, Urmia University of Medical Sciences, Nazlu Road Campus (Kilometer 11 of Sarv Road), Urmia 57561-15198, West Azerbaijan Province, Iran.ORCID 0000-0001-9919-0235

Funding

National Institute for Medical Research Development NIMAD.REC.1397.290
6 · The paper itself

Abstract

Cataract surgery is among the most frequently performed procedures globally and in Iran, often regarded as highly effective and cost-efficient. However, its rapid growth, particularly under a fee-for-service model, raises concerns about supplier-induced demand, where providers may influence patients to undergo potentially discretionary procedures to maintain income. We analyzed administrative data from the Iranian Armed Forces Insurance Organization, covering active and retired military personnel and their families across all 31 provinces. In total, 108 055 cataract surgeries performed by 644 ophthalmic surgeons during the study period were included. As service provision and coverage for armed forces beneficiaries may differ from the general population, through dedicated military hospitals or subsidized services in public hospitals, the findings primarily reflect utilization patterns within this insured population. We employed regression-based methods to examine the relationship between surgeon density and surgery rates. A 10% increase in ophthalmologist density is associated with a 4.9%-6.2% increase in surgery count, 7.3%-7.9% in service volume, and 1.5%-1.9% in service value, indicating both quantitative and qualitative dimensions of inducement. Lagged service variables demonstrated significant persistence, reflecting clinical inertia. Income became a significant determinant only in the dynamic model, highlighting the role of latent demand-side factors. Our findings provide evidence consistent with supply-sensitive utilization patterns predicted by SID theory in Iran's cataract surgery sector. These insights underscore the need for targeted policy interventions, including payment reform, utilization oversight, and equitable workforce distribution, to align provider behavior with clinical necessity and system efficiency.

Indexed as

Cataract ExtractionFee-for-Service PlansHealth Services Needs and DemandHumansIranMilitary PersonnelOphthalmologistscataract surgerydynamic panel modelIranphysician densitysupplier-induced demand

Identifiers

PMID41915635
PMCPMC13187669

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.