Evidence map›Paper›PMID 24596832›Full record

ArticleInternational journal of health policy and management2013

Evidence for Policy Making: Clinical Appropriateness Study of Lumbar Spine MRI Prescriptions Using RAND Appropriateness Method.

Hedayat Salari, Rahim Ostovar, Atefeh Esfandiari, Ali Keshtkaran, Ali Akbari Sari, Hossein Yousefi Manesh, Amir Rakhshan

Open access · diamondAbstract read
In one paragraph

Article in International journal of health policy and management, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 6% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 30 citations in OpenAlex.

  1. Pertinence of magnetic resonance imaging in lumbar pain: a prospective surgeon-based evaluation of diagnostic concordance and therapeutic impact.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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  6. The inappropriateness of brain MRI prescriptions: a study from Iran.Cost effectiveness and resource allocation : C/E · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Hedayat SalariDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran ; Research Center for Health Services Management, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman , Iran.
Rahim OstovarSocial Determinants of Health Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.
Atefeh EsfandiariDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran ; Research Center for Health Services Management, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman , Iran.
Ali KeshtkaranDepartment of Medical Informatics and Management, Shiraz University of Medical Sciences, Shiraz, Iran.
Ali Akbari SariDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Hossein Yousefi ManeshShiraz Medical Students Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Amir RakhshanDepartment of Foreign Languages, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IRShiraz University of Medical Sciences · IRKerman University of Medical Sciences · IRYasuj University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMRI is a new and expensive diagnostic technology, which has been used increasingly all over the world. Low back pain is a worldwide prevalent disorder and MRI technique is one of the several ways to diagnose it. This paper aims to identify the appropriateness of lumbar spine MRI prescriptions in Shiraz teaching hospitals using standardized RAND Appropriateness Method (RAM) criteria in 2012.

methodsThis study consisted of two phases. The first phase involved a qualitative enquiry and the second phase had a quantitative cross-sectional nature. In the first phase RAM was used for developing lumbar spine MRI indications and scenarios. In the second phase, the finalized scenarios were compared with the history and physical examination of 300 patients with low back pain. The rate of appropriateness of lumbar spine MRI prescription was then calculated.

resultsOf 300 cases of lumbar spine MRI prescriptions, approximately 167 (56%) were considered inappropriate, 72 (24%) were uncertain, and 61 (20%) were deemed to be appropriate. The economic burden of inappropriate prescriptions was calculated at 88,009,000 Rials. In addition, the types of expertise and physical examination were considered as related factors to appropriateness of prescriptions.

conclusionIn conclusion, a large proportion of lumbar spine MRI prescriptions, which result in financial burden on the insurance companies and the patients alike is unnecessary. This study suggests that policy makers consider this evidence while decision-making. Our findings highlight the imperative role of Health Technology Assessment (HTA) and Clinical Practice Guidelines (CPGs). As a result, developing local clinical guidelines may create the commitment needed in physicians in prescribing appropriate prescriptions within the health sector. The study further recommends that appropriate scenarios should be considered as a criterion for payment and reimbursement.

Indexed as

Clinical Practice GuidelineEvidenceLumbar SpineMRI PrescriptionRAND Appropriateness MethodShiraz

Identifiers

PMID24596832
PMCPMC3937931
OpenAlexW2155358404

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.