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Erschienen in: Cost Effectiveness and Resource Allocation 1/2021

Open Access 01.12.2021 | Research

The inappropriateness of brain MRI prescriptions: a study from Iran

verfasst von: Zahra Kavosi, Abouzar Sadeghi, Farhad Lotfi, Hedayat Salari, Mohsen Bayati

Erschienen in: Cost Effectiveness and Resource Allocation | Ausgabe 1/2021

Abstract

Background

Inappropriate prescriptions can lead to adverse consequences for patients. It also imposes excessive cost on the patients, payers and health systems. The current study aimed at estimating the rate of inappropriate brain Magnetic Resonance Imaging (MRI) prescriptions and their financial burden in Iran.

Methods

Using systematic stratified sampling method, this cross-sectional study recruited 385 participants from three public teaching hospitals in Shiraz, Iran. Demographic information, questions related to brain MRI prescription and its indications checklist were collected using study-specific data collection tools. The completed indications checklist was compared to the appropriateness status table of indications and scenarios to detect the percent of the appropriateness of prescriptions.

Results

About 21 percentage of total brain MRI prescriptions are inappropriate. Previous treatment, number of referrals to physician, having other diagnostic tests and the applicant of MRI (P < 0.01) had significant relationships with prescription appropriateness. The estimated financial burden of inappropriate brain MRIs in Shiraz teaching hospitals was 99,988 US dollar in 2017.

Conclusions

More than one-fifth of brains MRIs were inappropriate (i.e. prescriptions without medical indications). It caused 99,988 United States Dollar (USD) financial burden which is 17 times that of Iran's Gross Domestic Product (GDP) per capita. To better allocate resources for the provision of MRI services to health system, rationing policies for controlling moral hazard and reducing provider induced demand can be helpful.
Hinweise

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
CT
Computerized tomography
GDP
Gross Domestic Product
MRI
Magnetic Resonance Imaging
THE
Total Health Expenditure
USA
United Stated of America
USD
United States Dollar

Background

Neurological diseases are one of the common causes of death and physical and mental disabilities in different societies. Neurological diseases are disorders that influence the central and peripheral nervous system including brain, spinal cord, and nerves such as cerebrovascular disease [1]. Early and precise diagnosis of brain and neurological disorders and damages will assist in the better and fast treatment of those illnesses. Magnetic Resonance Imaging (MRI) have important roles in diagnosing these illnesses [2]. In addition to assisting in the early diagnosis of illness, imaging prevents more aggressive measures for treatment [3]. In this respect, one application of MRI is diagnosis of brain and neurological illnesses [4].
It is stated that only less than half of MRIs prescribed by neurologists were appropriate [5]. Despite the significant effects of MRI in diagnosing diseases, unnecessary provision of it can impose financial burden on patients, payers and healthcare systems [6, 7].
There is substantial growth in MRI acquisition and utilization in Iran [8]. According to a local research in Iran, about 80 percentage of demanded MRIs by physicians for the patients suffering from headache had normal results. It shows that MRI prescriptions in many cases are illogical and inappropriate [9]. According to Salari et al. [10], 167 lumbar spine MRI prescriptions among 300 prescriptions were inappropriate, and the cost of these inappropriate prescriptions was estimated at 7178 US dollar. So, health economists and policy makers believe that evidence-based and appropriate use of these services reduces health services costs and promotes services quality [5].
According to the last published statistics in Iran in 2018, total health expenditure (THE) was about 39 billion United States Dollar (USD) (8.7 percentage of Gross Domestic Product (GDP)), which was 484.3 USD in terms of per capita. Public spending, including social insurance and government budget, accounted for 45.9 percentage of THE. Out of pocket payments as the main source of health financing accounted for 35.8 percentage of THE [11]. In an unpublished study in Iran, it is reported that MRI services cost that covered by insurance organizations (both social and private) was about 6.8 million USD in 2018 [12]. Anyway, as mentioned by other researchers, advanced diagnostic procedures such as MRI are specified as main drivers of the health care expenditure [13, 14].
The present study aimed to evaluate the level of brain MRI inappropriate prescriptions and their financial burden in public teaching hospitals in Shiraz in 2017.

Methods

This research is a cross-sectional study that was carried out in 2017 to evaluate the level of inappropriate prescriptions of brain MRIs and their financial burden in teaching hospitals of Shiraz University of Medical Sciences.
Using systematic stratified sampling method, this research recruited 385 participants from public teaching hospitals in Shiraz, Iran.
The total sample size was proportionally allocated to three public hospitals namely, Namazi, Faghihi, and Chamran, which were the only MRI services providers in Shiraz’s public sector, according to their volume of MRI services.
To select participants in each hospital, the waiting list of patients was obtained from the hospitals’ MRI departments, and the participants were randomly selected using random number tables.
To collect data, one nurse attended in patients' readiness rooms and examined the prescriptions of the patients who were selected previously through a systematic sampling from the waiting list of MRI. We exclude the prescriptions that did not have a patient history or MRI prescriptions that have not registered.
The selected participant's information was collected through a data collection form. This form consisted of two parts. The first part was about patients' demographic information and the questions related to prescription and the second part was the brain MRI prescription indications checklist. We used the checklist that was developed by Salari et al. [15].
The data obtained from data collection forms was compared to the appropriateness status table of indications and scenarios to detect the percentage of the prescriptions’ appropriateness. Salari et al. developed these indications and scenarios appropriateness status table. In that consensus-based study, experts in brain disorders (neurosurgeons and neurologists) scored the scenarios according to Rand Appropriateness Method. The scenarios were classified into the categories of appropriate, uncertain and inappropriate [15].
To estimate the number of inappropriate MRI prescriptions, the estimated rate of inappropriateness of brain MRI was multiplied by total brain MRI services provided by public hospitals in Shiraz. Finally, by multiplying the number of inappropriate prescriptions by the brain MRI procedure's tariffs for the patient and insurer in 2017 the overall imposed financial burden was estimated. It should be noted that in the current study the financial costs of inappropriate MRI were estimated and the comprehensive economic burden of them was not studied. For converting Iranian Rial to USD exchange rate reported by the central bank of Iran was used [16]. Statistical analysis was performed by Stata 14.

Results

About 60 percentage of patients were female and 96 percentage have basic health insurance. The education level of patients was elementary and secondary (33.2), academic (28.7), high school diploma (25.5) and illiterate (13.5), respectively. 37 percentage of patient had complementary health insurance.
Table 1 shows descriptive statistics of the appropriateness status of brain MRI in studied patients and the relationship between examined patients’ socio-demographic variables with the appropriateness of brain MRI descriptions. The results indicate that generally 21.6 percentage of total prescriptions are not appropriate.
Table 1
Appropriateness of brain MRI prescriptions based on patients’ socio-demographic variables in Shiraz public hospitals in 2017
Overall
With indication
Without indication
Total
P-value
Frequency
Percent
Frequency
Percent
Frequency
Percent
 
302
78.45
83
21.55
385
100
 
Gender
Male
116
76.82
35
23.18
151
100
0.535
Female
186
79.5
48
20.5
234
100
Education level
Illiterate
39
75
13
25
52
100
0.094
Elementary & secondary
105
82
23
18
128
100
High school diploma
82
83.67
16
16.33
98
100
Academic
76
71
31
29
107
100
Job
Employee
53
76.81
16
23.89
69
100
0.949
Worker
38
79.17
10
20.83
48
100
Housewife
126
79.24
33
20.76
159
100
Self-employed
65
76.47
20
23.53
85
100
Other
20
83.34
4
16.66
24
100
Basic insurance status
Not insured
11
84.61
2
15.39
13
100
0.743
Insured
291
78.22
81
21.78
372
100
Insurer
Social security organization
128
81
30
19
158
100
0.211
Iran health insurance organization
143
78
40
22
183
100
Armed forces insurance organization
10
66.6
5
33.4
15
100
Other insurers
10
62.5
6
37.5
16
100
Complementary insurance coverage
Yes
81
77.88
23
22.12
104
100
0.921
No
221
78.64
60
21.36
281
100
Table 2 also indicates the mentioned statistics based on clinical variables. Results demonstrated that previous treatment, number of times of visit, having other diagnostic tests and the applicant of MRI (P < 0.01), type of treatment and the specialty of the physician (P < 0.1), had significant relationships with prescriptions appropriateness.
Table 2
Appropriateness of brain MRI prescriptions based on clinical variables in Shiraz public hospitals in 2017
Overall
With indication
Without indication
Total
P-value
Frequency
Percent
Frequency
Percent
Frequency
Percent
 
302
78.45
83
21.55
385
100
 
Having previous treatment
Yes
115
68.86
52
31.14
167
100
0.001
No
187
85.78
31
14.22
218
100
Type of treatment
Drug
137
84.05
26
15.95
163
100
0.068
Rest
6
75
2
25
8
100
Surgery
42
95.45
2
4.55
44
100
Others
2
66.67
1
33.33
3
100
Treatment duration
Less than 1 Year
59
78.67
16
21.33
75
100
0.112
1–5 years
73
86.90
11
13.10
84
100
More than 5 Years
55
93.22
4
6.78
59
100
Number of times of visit
First time
138
72.25
53
27.74
191
100
0.001
Second times
68
75.56
22
24.44
90
100
Third times or more
96
92.3
8
7.7
104
100
Having other diagnostic testsa
Yes
159
85.48
27
14.52
186
100
0.001
No
143
71.86
56
28.14
199
100
Applicant
Physician
279
80.63
67
19.37
346
100
0.001
Patient
6
37.5
10
62.5
16
100
Physician & patient
17
73.91
6
26.09
23
100
Referral center
Public hospital
194
79.83
49
20.17
243
100
0.254
Private hospital
20
66.67
10
33.33
30
100
Private office
88
78.57
24
21.43
112
100
Specialty of the physician
Neurosurgery
78
80.41
19
19.59
97
100
0.064
Neurologist
123
67.95
58
32.05
181
100
Other
101
94.39
6
5.61
107
100
aCT scan, electroencephalography, etc
Among 16,200 brain MRIs that were done in studied (three) hospitals in 2017, 21.6 percentage, it means 3500 cases were brain MRIs without indication, among which 2240 cases (64 percentage) were with injection and 1260 cases (36 percentage) were with and without injection. The tariffs of doing a brain MRI procedure without injection was 22.7 USD and the tariffs of doing a brain MRI procedure with and without injection was 39 USD in 2017.
So the financial burden of inappropriate brain MRIs on the patients and insurers for “without injection”, “with and without injection” and all MRIs were 50 848, 49,140 and 99,988 USD, respectively (Table 3).
Table 3
Financial burden of inappropriate brain MRIs in public hospitals in Shiraz, 2017
 
Number of inappropriate brain MRIs
Tariffs of one MRI
Total cost (USD)
Without injection
2240
22.7
50,848
With and without injection
1260
39
49,140
Total
3500
 
99,988

Discussion

Inappropriate prescriptions for MRI services can lead to an adverse outcome for patients and imposes an excessive cost on the patients and health systems. So the appropriateness of brain MRI prescriptions, its related factors and financial burden were investigated in this study.
Findings show that 21.6 percentage of brain MRI prescriptions were without indication (inappropriate). Researches that mainly assessed the brain MRI appropriateness are few, so other MRI services are also compared with our findings. Piersson et al. [17] reported that about 19 percentage of brain MRIs in a single center in Ghana were inappropriate. It seems the use of MRI procedure in Iran is similar to that of the United States of America (USA), which has a very costly health system; because Lehnert & Bree (2010) found that 26 percentage of MRI and Computerized Tomography (CT) scan prescriptions in the USA are inappropriate [18]. Oikarinen et al. [19] indicated that 7 percentage of MRIs done in an academic hospital in Finland were inappropriate. Saadat et al. [20] found that 17.2 percentage of conducted MRIs in private centers in Tehran were normal that 9.8 percentage of them were for headache examinations. Barzin et al. demonstrated that 81 percentage of requested MRIs by physicians for patients suffering from headaches in an educational hospital in Sari city had normal results [9]. Sheehan et al. [21] reported that 45 percentage (106 cases) out of 237 prescribed MRIs for shoulder in a department of veterans affairs tertiary care hospital were inappropriate. In recent research in Ontario, the inappropriate rate of hip MRI is estimated at 32.1 percentage [22].
The Comparison also shows that there are different results on different MRI services (all MRI, brain, shoulder, hip, …). There are also different inappropriate rate of MRI prescriptions across different countries and settings associated with their health system structure and policies to control physician and patient behavior. However, it seems these differences should be mainly explained by different methodology, indications criteria, and instruments used by different researchers.
Analytic findings show that there are no significant relationships between socio-demographic variables and brain MRI appropriateness. However, several clinical factors have a significant relationship with the appropriateness of brain MRI.
We found that having previous treatment and other diagnostic tests are related to brain MRI’s appropriateness. Manta [22] showed that having no previous radiographic examination was the most predictor of inappropriate prescription of hip MRI in Ontario.
Also, Sheehan et al. [21] showed that ultrasound could be a cost-saving substitution for 66 percentage of shoulder MRIs.
Finding also indicates that 27.74 percentage of 191 patients at the first visit to the physicians were without indication for brain MRI. We also found the more number of times a patient visits a physician, the less likely the inappropriateness of brain MRI. Patients with more visits to doctors likely have chronic and severe symptoms [23], so their MRIs probably are necessary and appropriate. It also can be explained by defensive medicine. In the first visit, physicians reduce and compensate for malpractice liability risk and apply more tests and treatments, which may be unnecessary [24].
One of the main results is that the primary applicant of MRI has a significant relationship with brain MRI’s appropriateness. About 19 percentage of prescriptions requested primarily by physicians were inappropriate, but on the contrary, more than 60 percentage of brain MRIs requested primarily by patients were inappropriate. Patients usually appeal diagnostic tests e.g., MRI from their physician; however, many times, their request is unnecessary. Although it likely increases patients’ satisfaction and health outcomes, it wastes health system resources and maybe increases the side effects of these tests [25]. It is also related to the consumer moral hazard concept, resulting from information asymmetry between purchasers and patients [26].
Some macro factors which can affect on volume of unnecessary diagnostic tests and interventions that we could not assess their effect. For example, Andrade et al. found that more supply of imaging services (imaging centers, MRI machines, radiologists) by itself increase the demand for such services [27]. This phenomenon can be explained by provider induced demand or more accessibility to these services.
The present study showed that the financial burden resulting from inappropriate brain MRI prescriptions in 2017 was 99,988 USD in Shiraz public hospitals, which is about 17 times of Iran's GDP per capita in that year (5680 USD) [28]. This financial burden is related to one type of MRI services (brain MRI), in one city and only public centers. Considering all the mentioned factors, there is a noticeable financial burden of inappropriate MRI services in Iran. It should be asserted that according to a national study in 2018, there were 276 MRI machines in Iran (about 3.5 per one million population) [29].
There are few studies with a focus on Brain MRI. Moreover, different studies have utilized different tools for checking the appropriateness of MRI services, and finally, there are different approaches to estimate the financial/economic burden. As we estimated only the direct financial burden of inappropriate brain MRI services, it is not compared with other areas.
A major limitation of the current study is that there are not clear statistics about the utilization of brain MRI in Iran, so we cannot estimate the overall financial burden of brain MRI in Iran. We only estimated the financial burden of brain MRI in public hospitals in Shiraz. Another main limitation is that we calculated the only direct medical financial costs of inappropriate brain MRI and comprehensive economic burden of them (such as transportation cost, food cost, productivity loss and intangible cost) was not studied. Moreover, the lack of similar studies on brain MRI, relevant factors and its financial burden was another limitation.

Conclusions

About one-fourth of brains MRIs were inappropriate. It caused 99,988 USD financial burden which is 17 times of Iran's GDP per capita. To better allocation of health system resources for the provision of MRI services, rationing policies for controlling consumer moral hazard and reducing provider induced demand can be helpful.

Acknowledgements

The authors are grateful to the participants for their valuable contributions.

Declarations

This study was conducted in accordance with the International Declaration of Helsinki. The study protocol was approved by the Ethics Committee of Shiraz University of Medical Sciences with code IR.SUMS.REC.1396.S260. All participants were informed both verbally and through written information of their right to withdraw from the study at any time. All participants gave their written consent to participate in the study.
The participants gave their written consent to publish findings of the study.

Competing interests

The authors declared no potential conflicts of interest with respect to the research, authorship, and publication of this article.
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Literatur
1.
Zurück zum Zitat Carroll WM. The global burden of neurological disorders. Lancet Neurol. 2019;18(5):418–9.CrossRef Carroll WM. The global burden of neurological disorders. Lancet Neurol. 2019;18(5):418–9.CrossRef
2.
Zurück zum Zitat Mattson M, Duan W, Pedersen W, Culmsee C. Neurodegenerative disorders and ischemic brain diseases. Apoptosis. 2001;6(1–2):69–81.CrossRef Mattson M, Duan W, Pedersen W, Culmsee C. Neurodegenerative disorders and ischemic brain diseases. Apoptosis. 2001;6(1–2):69–81.CrossRef
3.
Zurück zum Zitat Klunk WE, Engler H, Nordberg A, Wang Y, Blomqvist G, Holt DP, et al. Imaging brain amyloid in Alzheimer’s disease with Pittsburgh Compound-B. Ann Neurol. 2004;55(3):306–19.CrossRef Klunk WE, Engler H, Nordberg A, Wang Y, Blomqvist G, Holt DP, et al. Imaging brain amyloid in Alzheimer’s disease with Pittsburgh Compound-B. Ann Neurol. 2004;55(3):306–19.CrossRef
4.
Zurück zum Zitat Catana C, Drzezga A, Heiss W-D, Rosen BR. PET/MRI for neurologic applications. J Nucl Med. 2012;53(12):1916–25.CrossRef Catana C, Drzezga A, Heiss W-D, Rosen BR. PET/MRI for neurologic applications. J Nucl Med. 2012;53(12):1916–25.CrossRef
5.
Zurück zum Zitat Emery DJ, Shojania KG, Forster AJ, Mojaverian N, Feasby TE. Overuse of magnetic resonance imaging. JAMA Internal Med. 2013;173(9):823–5.CrossRef Emery DJ, Shojania KG, Forster AJ, Mojaverian N, Feasby TE. Overuse of magnetic resonance imaging. JAMA Internal Med. 2013;173(9):823–5.CrossRef
6.
Zurück zum Zitat Palesh M, Fredrikson S, Jamshidi H, Tomson G, Petzold M. How is magnetic resonance imaging used in Iran? Int J Technol Assess Health Care. 2008;24(4):452–8.CrossRef Palesh M, Fredrikson S, Jamshidi H, Tomson G, Petzold M. How is magnetic resonance imaging used in Iran? Int J Technol Assess Health Care. 2008;24(4):452–8.CrossRef
7.
Zurück zum Zitat Hendee WR, Becker GJ, Borgstede JP, Bosma J, Casarella WJ, Erickson BA, et al. Addressing overutilization in medical imaging. Radiology. 2010;257(1):240–5.CrossRef Hendee WR, Becker GJ, Borgstede JP, Bosma J, Casarella WJ, Erickson BA, et al. Addressing overutilization in medical imaging. Radiology. 2010;257(1):240–5.CrossRef
8.
Zurück zum Zitat Palesh M, Tishelman C, Fredrikson S, Jamshidi H, Tomson G, Emami A. “ We noticed that suddenly the country has become full of MRI” Policy makers’ views on diffusion and use of health technologies in Iran. Health Res Policy Syst. 2010;8(1):9.CrossRef Palesh M, Tishelman C, Fredrikson S, Jamshidi H, Tomson G, Emami A. “ We noticed that suddenly the country has become full of MRI” Policy makers’ views on diffusion and use of health technologies in Iran. Health Res Policy Syst. 2010;8(1):9.CrossRef
9.
Zurück zum Zitat Barzin M, Alaee A, Gholian JS. MRI findings in patients with headache referred to Imam Khomeini Hospital, Sari, Iran, fromOctober 2007 to February 2009. J Mazandaran Univ Med Sci. 2010;20(75):65–9. Barzin M, Alaee A, Gholian JS. MRI findings in patients with headache referred to Imam Khomeini Hospital, Sari, Iran, fromOctober 2007 to February 2009. J Mazandaran Univ Med Sci. 2010;20(75):65–9.
10.
Zurück zum Zitat Salari H, Ostovar R, Esfandiari A, Keshtkaran A, Sari AA, Manesh HY, et al. Evidence for policy making: clinical appropriateness study of lumbar spine MRI prescriptions using RAND appropriateness method. Int J Health Policy Manag. 2013;1(1):17.CrossRef Salari H, Ostovar R, Esfandiari A, Keshtkaran A, Sari AA, Manesh HY, et al. Evidence for policy making: clinical appropriateness study of lumbar spine MRI prescriptions using RAND appropriateness method. Int J Health Policy Manag. 2013;1(1):17.CrossRef
13.
Zurück zum Zitat Okunade AA, Murthy VN. Technology as a ‘major driver’ of health care costs: a cointegration analysis of the Newhouse conjecture. J Health Econ. 2002;21(1):147–59.CrossRef Okunade AA, Murthy VN. Technology as a ‘major driver’ of health care costs: a cointegration analysis of the Newhouse conjecture. J Health Econ. 2002;21(1):147–59.CrossRef
14.
Zurück zum Zitat Bayati M, Ahari AM, Badakhshan A, Gholipour M, Joulaei H. Cost analysis of MRI services in Iran: an application of activity based costing technique. Iran J Radiol. 2015;12(4):e18372.CrossRef Bayati M, Ahari AM, Badakhshan A, Gholipour M, Joulaei H. Cost analysis of MRI services in Iran: an application of activity based costing technique. Iran J Radiol. 2015;12(4):e18372.CrossRef
15.
Zurück zum Zitat Salari H, Ravanbod MR, Akbari Sari A, Farzanegan G, Esfandiari A. Developing appropriate indications for prescriptions of brain MRI using RAND appropriateness method. Evid Based Health Policy Manag Econ. 2017;1(4):205. Salari H, Ravanbod MR, Akbari Sari A, Farzanegan G, Esfandiari A. Developing appropriate indications for prescriptions of brain MRI using RAND appropriateness method. Evid Based Health Policy Manag Econ. 2017;1(4):205.
17.
Zurück zum Zitat Piersson A, Nunoo G, Gorleku P. An audit of clinical practice, referral patterns, and appropriateness of clinical indications for brain MRI examinations: a single-centre study in Ghana. Radiography. 2018;24(2):e25–30.CrossRef Piersson A, Nunoo G, Gorleku P. An audit of clinical practice, referral patterns, and appropriateness of clinical indications for brain MRI examinations: a single-centre study in Ghana. Radiography. 2018;24(2):e25–30.CrossRef
18.
Zurück zum Zitat Lehnert BE, Bree RL. Analysis of appropriateness of outpatient CT and MRI referred from primary care clinics at an academic medical center: how critical is the need for improved decision support? J Am Coll Radiol. 2010;7(3):192–7.CrossRef Lehnert BE, Bree RL. Analysis of appropriateness of outpatient CT and MRI referred from primary care clinics at an academic medical center: how critical is the need for improved decision support? J Am Coll Radiol. 2010;7(3):192–7.CrossRef
19.
Zurück zum Zitat Oikarinen H, Karttunen A, Pääkkö E, Tervonen O. Survey of inappropriate use of magnetic resonance imaging. Insights Into Imag. 2013;4(5):729–33.CrossRef Oikarinen H, Karttunen A, Pääkkö E, Tervonen O. Survey of inappropriate use of magnetic resonance imaging. Insights Into Imag. 2013;4(5):729–33.CrossRef
20.
Zurück zum Zitat Saadat S, Ghodsi SM, Firouznia K, Etminan M, Goudarzi K, Naieni KH. Overuse or underuse of MRI scanners in private radiology centers in Tehran. Int J Technol Assess Health Care. 2008;24(3):277–81.CrossRef Saadat S, Ghodsi SM, Firouznia K, Etminan M, Goudarzi K, Naieni KH. Overuse or underuse of MRI scanners in private radiology centers in Tehran. Int J Technol Assess Health Care. 2008;24(3):277–81.CrossRef
21.
Zurück zum Zitat Sheehan SE, Coburn JA, Singh H, Vanness DJ, Sittig DF, Moberg DP, et al. Reducing unnecessary shoulder MRI examinations within a capitated health care system: a potential role for shoulder ultrasound. J Am Coll Radiol. 2016;13(7):780–7.CrossRef Sheehan SE, Coburn JA, Singh H, Vanness DJ, Sittig DF, Moberg DP, et al. Reducing unnecessary shoulder MRI examinations within a capitated health care system: a potential role for shoulder ultrasound. J Am Coll Radiol. 2016;13(7):780–7.CrossRef
22.
Zurück zum Zitat Manta A, O’Grady J, Bleakney R, Theodoropoulos J. Determining the appropriateness of requests for outpatient magnetic resonance imaging of the hip. Can J Surg. 2019;62(4):224.CrossRef Manta A, O’Grady J, Bleakney R, Theodoropoulos J. Determining the appropriateness of requests for outpatient magnetic resonance imaging of the hip. Can J Surg. 2019;62(4):224.CrossRef
23.
Zurück zum Zitat Atella V, Piano Mortari A, Kopinska J, Belotti F, Lapi F, Cricelli C, et al. Trends in age-related disease burden and healthcare utilization. Aging Cell. 2019;18(1):e12861.CrossRef Atella V, Piano Mortari A, Kopinska J, Belotti F, Lapi F, Cricelli C, et al. Trends in age-related disease burden and healthcare utilization. Aging Cell. 2019;18(1):e12861.CrossRef
24.
Zurück zum Zitat Frakes M, Gruber J. Defensive medicine: evidence from military immunity. Am Econ J Econ Policy. 2019;11(3):197–231.CrossRef Frakes M, Gruber J. Defensive medicine: evidence from military immunity. Am Econ J Econ Policy. 2019;11(3):197–231.CrossRef
25.
Zurück zum Zitat Gallagher TH, Lo B, Chesney M, Christensen K. How do physicians respond to patients’ requests for costly, unindicated services? J Gen Intern Med. 1997;12(11):663–8.CrossRef Gallagher TH, Lo B, Chesney M, Christensen K. How do physicians respond to patients’ requests for costly, unindicated services? J Gen Intern Med. 1997;12(11):663–8.CrossRef
26.
Zurück zum Zitat Zheng Y, Vukina T, Zheng X. Estimating asymmetric information effects in health care with uninsurable costs. Int J Health Econ Manag. 2019;19(1):79–98.CrossRef Zheng Y, Vukina T, Zheng X. Estimating asymmetric information effects in health care with uninsurable costs. Int J Health Econ Manag. 2019;19(1):79–98.CrossRef
27.
Zurück zum Zitat Andrade EDO, Andrade END, Gallo JH. Case study of supply induced demand: the case of provision of imaging scans (computed tomography and magnetic resonance) at Unimed-Manaus. Revista da Associação Médica Brasileira. 2011;57(2):138–43.CrossRef Andrade EDO, Andrade END, Gallo JH. Case study of supply induced demand: the case of provision of imaging scans (computed tomography and magnetic resonance) at Unimed-Manaus. Revista da Associação Médica Brasileira. 2011;57(2):138–43.CrossRef
29.
Zurück zum Zitat Haji Aghajani M, Hashemi H, Haghdoost A, Noori Hekmat S, Janbabaee G, Maher A, et al. Distribution of major medical equipment in Iran in 2016 and the estimation of needs in 2026. Iran J Epidemiol. 2018;13:37–47. Haji Aghajani M, Hashemi H, Haghdoost A, Noori Hekmat S, Janbabaee G, Maher A, et al. Distribution of major medical equipment in Iran in 2016 and the estimation of needs in 2026. Iran J Epidemiol. 2018;13:37–47.
Metadaten
Titel
The inappropriateness of brain MRI prescriptions: a study from Iran
verfasst von
Zahra Kavosi
Abouzar Sadeghi
Farhad Lotfi
Hedayat Salari
Mohsen Bayati
Publikationsdatum
01.12.2021
Verlag
BioMed Central
Erschienen in
Cost Effectiveness and Resource Allocation / Ausgabe 1/2021
Elektronische ISSN: 1478-7547
DOI
https://doi.org/10.1186/s12962-021-00268-6

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