Skip to main content
Springer logoLink to Springer
. 2024 Mar 1;22(4):485–501. doi: 10.1007/s40258-024-00876-2

Cost of Low-Value Imaging Worldwide: A Systematic Review

Elin Kjelle 1,, Ingrid Øfsti Brandsæter 1, Eivind Richter Andersen 1, Bjørn Morten Hofmann 1,2
PMCID: PMC11178636  PMID: 38427217

Abstract

Background and Objective

Imaging with low or no benefit for the patient undermines the quality of care and amounts to vast opportunity costs. More than 3.6 billion imaging examinations are performed annually, and about 20–50% of these are of low value. This study aimed to synthesize knowledge of the costs of low-value imaging worldwide.

Methods

This systematic review was based on the PRISMA statement. The database search was developed in Medline and further adapted to Embase-Ovid, Cochrane Library, and Scopus. Primary empirical studies assessing the costs of low-value diagnostic imaging were included if published between 2012 and March 2022. Studies designed as randomized controlled trials, non-randomized trials, cohort studies, cross-sectional studies, descriptive studies, cost analysis, cost-effectiveness analysis, and mixed-methods studies were eligible. The analysis was descriptive.

Results

Of 5,567 records identified, 106 were included. Most of the studies included were conducted in the USA (n = 76), and a hospital or medical center was the most common setting (n = 82). Thirty-eight of the included studies calculated the costs of multiple imaging modalities; in studies with only one imaging modality included, conventional radiography was the most common (n = 32). Aggregated costs for low-value examinations amounts to billions of dollars per year globally. Initiatives to reduce low-value imaging may reduce costs by up to 95% without harming patients.

Conclusions

This study is the first systematic review of the cost of low-value imaging worldwide, documenting a high potential for cost reduction. Given the universal challenges with resource allocation, the large amount used for low-value imaging represents a vast opportunity cost and offers great potential to improve the quality and efficiency of care.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40258-024-00876-2.

Key Points for Decision Makers

Low-value imaging, imaging not affecting the patients’ further care and treatment, occupies resources in healthcare that could be used for high-value services.
The cost of low-value imaging could amount to billions of US dollars per year.
Measures for reducing low-value imaging are needed at all levels of healthcare.

Introduction

Diagnostic imaging is an essential part of modern patient management at all levels of healthcare [1]. The use and expenditures of healthcare services, including imaging, are increasing worldwide [1, 2]. According to the WHO, 3.6 billion imaging examinations are conducted each year, and 250 million of these are of children under the age of 15 years [3]. About 84% of examinations worldwide are conventional radiography and fluoroscopy (CR), while 8% are computed tomography (CT), about 4% ultrasound (US), 3% magnetic resonance imaging (MRI), and 1% nuclear medicine (NM) [47].

According to the Organization for Economic Co-operation and Development, 10‒34% of healthcare spending is wasteful and inappropriate [8]. Correspondingly, 20‒50% of imaging examinations have been reported to be inappropriate or of low value [811]. Low-value care is defined as services that provide little or no benefit to patients, have the potential to cause harm to patients, or waste limited healthcare resources [12]. Diagnostic imaging would be of low value when the examination has little or no impact on the management of the individual patient. Accordingly, it should not be confused with a negative examination result that might be valuable for ruling out serious conditions and preventing further health expenditures. From a societal perspective, low-value imaging constitutes increasing costs, while for the patient, it is an unnecessary risk due to exposure to ionizing radiation and/or contrast media [811]. Low-value imaging can be found across all imaging modalities [13], as well as in several patient groups [14], and is recognized as a major problem [1, 15]. Accordingly, recommendations, guidelines, and other measures have been issued to reduce its use. However, these measures often have a low impact on clinical practice as many barriers to reducing low-value services have been identified [1622].

Imaging is a costly health service, and the number of examinations is rising [1]. Furthermore, in many countries, there is a lack of radiologists; thus, imaging could be a bottleneck in the healthcare system [1]. Low-value imaging examinations constitute a risk to patients, can reduce access to high-value care or delay crucial care, and result in poorer outcomes representing substantial opportunity costs.

Therefore, it is necessary to reduce the number of inappropriate or low-value examinations to free resources for high-value patient care. To do so, we need to know the resources used for low-value imaging. Accordingly, the objective of this systematic review was to provide an overview of the cost of low-value imaging worldwide.

Methods

This systematic review was conducted based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. The database search was developed in Medline—Ovid and further adapted to Embase-Ovid, Cochrane Library, and Scopus. The search terms were built from medical subject headings for Diagnostic imaging/Radiology, Health service misuse/Medical overuse, and Healthcare cost. Keywords were used for the concepts reduce/avoid and cost reduction. The complete search strategy and findings log can be found in the Online Supplementary Material (OSM) File 1. Searches were carried out in March 2022 with the last search on 15 March 2022. The search period was from 2012 to 2022 for the 10-year period in coherence with the activity of the choosing wisely campaign. Language filters were used to exclude papers written in languages other than English, German, Danish, Norwegian, and Swedish as these are the languages the authors are familiar with. Keywords were used to exclude studies on animals, mass screening, deep learning, other types of waste, or unnecessary care besides imaging.

Eligibility Criteria

Primary empirical studies assessing the costs of low-value diagnostic imaging were included. Studies designed as randomized controlled trials, non-randomized trials, cohort studies, cross-sectional studies, descriptive studies, cost analysis and cost-effectiveness analysis, and mixed-methods studies were included. The reference lists of relevant systematic reviews and meta-analyses were hand-searched for additional primary studies eligible for inclusion.

Selection of Records and Methodological Quality Appraisal

The records were archived using the Thomson Reuters EndNote X9.3.3 library, and duplicates were removed. All remaining records were transferred to Rayyan QCRI where additional duplicates were removed. All authors participated in the title and abstract screening using Rayyan. During the screening, records marked “Maybe” were discussed among the authors to agree on whether to include or reject them. All authors contributed to the full-text review and quality assessment of the studies. Due to the different methodologies of the included studies, the JBI critical appraisal tool was used for methodological quality assessment [23]. Any disagreements during abstract or full-text screening were resolved through discussion and consensus. During the full-text screening, reference lists of included articles were hand-searched for relevant articles. Google Scholar was used for hand searching for eligible papers that cited the included studies.

Data Extraction and Analysis

Data extraction was completed using a standardized summary table consisting of the following categories: author, title and year, country, design/methods, population, clinical setting, clinical indication for imaging, imaging modality, low-value imaging examination, control or comparator, cost/cost reduction, currency, the year costs were calculated, and cost denomination. All authors contributed to the data extraction. In addition, data extraction was discussed by the research team for quality assurance purposes.

Meta-analysis or comparison between studies or countries was not performed as reported costs are calculated differently in different studies, ranging from modeling to direct cost calculation. Just the cost of the index imaging study is included in the current review. For all results, the monetary value was converted to July 2022 US dollars using online converter calculators (https://www.oanda.com/currency-converter/en/?from=EUR&to=USD&amount=1) to provide an overview of costs in general. In studies where the year of cost calculation was not explicitly stated, we assumed the year costs were calculated was the same as the publication year.

Results

A total of 5,567 records were identified through database searches. 1,985 duplicates were removed, and 3,582 titles and abstracts were screened (Fig. 1). Hand-searching techniques resulted in the screening of 18 additional full-text records. In total, 166 reports were assessed for eligibility in full text, and of these, 60 records were excluded during full-text screening (OSM File 2 gives an overview of reasons for exclusion). In total, 106 studies were included in this review.

Fig. 1.

Fig. 1

PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram of selection of studies

The quality assessment, based on the JBI critical appraisal tool, resulted in no exclusion based on methodological issues, even though the quality of studies varied. Five types of checklists were used: RCT, cohort study, analytical cross-sectional studies, cost analysis, and quasi-experimental appraisal tools, depending on the design of the appraised study. The result of the quality appraisal is available in OSM File 3.

Characteristics of Included Studies

Table 1 presents the characteristics of the 106 included studies. Most studies employed a retrospective chart review/cohort design (n = 76), while six used a cross-sectional design. Another six studies were cost-effectiveness or cost analysis studies using modeling. The last 18 studies used different methodologies, from randomized controlled trials (n = 1) to mixed methods (n = 1). Most of the studies were conducted in the USA (n = 70), 17 studies were conducted in European countries, seven in Canada, five in Australia, and seven in other parts of the world, mainly Asian countries. The settings of most included studies were hospitals or medical centers (n = 82), while eight studies used multiple settings, and six were from an emergency department setting. Other settings included primary care/hospice (n = 4), intensive care unit (n = 4), and imaging center (n = 2).

Table 1.

Overview of setting and characteristics of the included studies

Author (year) Country Design/methods Population in study Clinical indication Clinical setting Low-value practice Cost low-value in USD 2022
Conventional radiography and fluoroscopy
 Birir et al. (2021) [24] USA Retrospective cohort study 1,258 patients First total knee arthroplasty Hospital Routine post-operative X-ray 305 per examination
 Brogi et al. (2017) [25] Italy Retrospective chart review 4,134 patients Several ICU Imaging non-compliant with guidelines 57% cost reduction after intervention
 Chui et al. (2018) [26] Canada Population-Based Retrospective Study 18,264 patients Central venous catheter insertion Hospital Routine chest X-ray after US-guided central venous catheter insertion 115–200 per examination
 Crawford et al. (2018) [27] Canada Decision modeling - Proximal humerus fractures Hospital Upper arm XR 38 per examination
 Dempsey et al. (2017) [28] USA Retrospective chart review 170 patients Primary total shoulder arthroplasty Hospital Routine postoperative X-ray 1,777 per examination
 Diaz Vico et al. (2019) [29] USA Retrospective chart review 284 patients Obesity Hospital Routine postoperative UGI contrast studies 687 per examination
Feng et al. (2016) [30] USA Retrospective chart review 101 patients Mid urethral sling surgery Hospital Overuse in preoperative imaging 33 per examination
 Gil-Borrelli et al. (2016) [31] Spain Retrospective cost minimization study 353 patients Preoperative tests Hospital Imaging non-compliant with guidelines 22 per examination
 Izamin et al. (2012) [32] Malaysia Cross-sectional design 9,420 x-rays Several Hospital Routine chest x-ray 4.31 per examination
 Jennewine et al. (2019) [33] USA Retrospective chart review 211 patients Tibia plateau fractures Hospital Routine postoperative X-ray 496.29 per examination
Kempegowda et al. (2016) [34] USA Retrospective chart review 465 patients Femur fracture Hospital Unnecessary follow-up 440 per examination
 Keveson et al. (2017) [35] USA Before-after study 3,914 examinations Invasive mechanical ventilation ICU Chest X-ray overutilization 228,756–267,678 savings per year
 Ko et al. (2016) [36] USA Before-after study > 1,000 chest X-rays Patients in intensive care unit ICU Routine chest X-rays 52 per examination
 Ling et al. (2018) [37] Australia Retrospective chart review 136 patients Stable buckle distal radius fractures ED Serial X-ray 6,381 per month
 Longenecker et al. (2016) [38] USA Retrospective cohort review 1,366 patients Partial knee arthroplasty Hospital Immediate postoperative radiographs 41 per examination
Maldonado et al. (2018) [39] USA Retrospective chart review 470 patients Breast cancer Hospital Short-interval follow-up mammogram 161 per examination
 McCabe et al. (2021) [40] UK Retrospective chart review 101 patients Cervical discectomy and fusion surgery Hospital Post-operative X-rays 101 per examination
 McGrath et al. (2017) [41] USA Retrospective chart review 281 patients Chest tube removal in children Hospital Chest X-ray after chest tube removal 303–535 per examination
 Morden et al. (2014) [42] USA Retrospective chart review 13.8 mill beneficiaries Several Multiple Short Interval DXA 20 million per year
 Porter et al. (2021) [43] USA Quality improvement initiative 292 patients Thoracic surgery Hospital Post thoracic surgery chest X-ray 106 per examination
 Rafiq et al. (2017) [44] Pakistan Retrospective clinical audit 201 patients Surgery Hospital Imaging non-compliant with guidelines 26 per examination
 Richards et al. (2014) [45] USA Before-after study 100 patients Preoperative test Medical center Preoperative chest x-ray 27 per examination
 Ryan et al. (2019) [22] Ireland Retrospective chart review 1,124 patients Multiple Hospital Imaging non-compliant with guidelines 10,769 per year
 Sanchez Morales et al. (2019) [46] USA Retrospective chart review 246 patients Clavicle fracture Hospital Follow-up X-ray 274 per examination
 Stone et al. (2015) [47] USA Retrospective chart review 268 patients Distal radius fractures Hospital 2-week postoperative X-ray 105 per examination
 Tharao et al. (2015) [48] Kenya Cross sectional study 175 patients Ankle fracture Hospital Imaging non-compliant with guidelines 30 per examination
 Tufescu (2017) [49] Canada Randomized controlled trail 90 patients Stable fracture fixation Hospital Routine screening after fixation 35 per examination
 Vicente-Guijarro et al. (2020) [50] Spain Descriptive observational study 3,449 chest X-rays Chest X-rays Hospital Routine preoperative chest X-ray 28 per examination
 Werner et al. (2016) [51] USA Retrospective chart review 599 patients Anterior cruciate ligament reconstruction Hospital Routine X-ray postoperative 706 per examination
 Woodland et al. (2018) [52] USA Retrospective chart review 200 patients Central venous catheter insertion Hospital Routine chest X-ray 553 per examination
 Wrotek et al. (2019) [53] Poland Retrospective chart review 166 patients Bronchiolitis [children] Hospital Routine chest X-ray 468 per examination
 Wu et al. (2020) [54] USA Before-after study 6,441 chest X-rays Several ICU Daily chest X-ray 175 per examination
Computed tomography
 Behmanesh et al. (2019) [55] Germany Retrospective, single-center study 439 patients Hydrocephalus Hospital Follow up CT after shunt 164 per examination
 Benayoun et al. (2016) [56] USA Retrospective cross-sectional study 3,753 patients Cervical spine injury Hospital Cervical spine CT 17,802–31,216 per 6 months
 Hayatghaibi et al. (2021) [57] USA Retrospective chart review and cost analysis 3,186 examinations Emergency patients Hospital Non-contrast head CT 204,019 per year for inappropriate examinations
 Kothari et al. (2019) [58] USA Retrospective chart review 405 patients Acute uncomplicated pancreatitis Hospital CT in the ED after clinical and biochemical evidence of pancreatitis 5,094 per examination
 Martyak et al. (2018) [59] USA Retrospective chart review 143 patients Mild traumatic brain injury Hospital Routine use of head CT 95% cost reduction
 Miller et al. (2012) [60] USA Retrospective chart review 83 patients Soft tissue sarcomas Hospital CT for low- and intermediate-grade soft tissue sarcoma 2,003 per examination
 Parma et al. (2014) [61] USA Retrospective chart review 438 cases Head injury Hospital CT for minor head injury 1,745 per examination
 Quick et al. (2013) [62] USA Retrospective chart review 95 patients Trauma Hospital Repeated CT 52 per examination
 Sharma et al. (2019) [63] USA Retrospective chart review 217 patients Orbital floor fracture Hospital Postoperative CT 172 per examination
 Stewart et al. (2020) [64] USA Retrospective chart review 1,000 patients Facial trauma Hospital Imaging non-compliant with guidelines 1,419 per examination
 Westfall et al. (2021) [65] USA Retrospective chart review 1,007 patients Acute appendicitis Hospital Abdominal CT 870 per examination
Ultrasound
 Al Darrab et al. (2021) [66] Kingdom of Saudi Arabia Retrospective chart review 670 referrals Undescended testis Hospital US before treatment 54 per examination
 Chamberlain et al. (2017) [67] USA Retrospective, single-institution study 539 patients Chest pain in children <18 years old Hospital Imaging non-compliant with guidelines 56,805 per year
 Jawa et al. (2021) [68] Canada Interrupted time series 241 patients Multicystic dysplastic kidney or solitary kidney [children] Hospital Serial renal US with variable frequency 340.21 per examination
 Maurer et al. (2012) [69] Germany Retrospective chart review 176 patients Polytrauma Hospital Abdominal ultrasound follow-up 49 per examination
 Mouawad et al. (2015) [70] USA Retrospective chart review 572 patients Deep venous thrombosis Hospital Duplex venous scanning 967,098 per study population
 Mousa et al. (2015) [71] USA Retrospective chart review 360 patients Deep venous thrombosis ED Duplex venous scanning 1,256 per examination
 Mousa et al. (2018) [72] USA Retrospective chart review 1,909 patients Deep venous thrombosis Hospital Duplex venous scanning 1,899 per examination
 Thompson et al. (2021) [73] USA Cost-effectiveness analysis 374 patients Syncope Primary care Echocardiogram 833 per examination
Magnetic resonance imaging
 Amin et al. (2019) [74] USA Cost-Effectiveness Analysis Meniscal Tears of the Knee Hospital Knee MRI 1,863 per examination
 Babbel et al. (2012) [75] USA Retrospective chart review 62 patients Upper extremity condition Multiple MRI to determine the validity of patient reported problem 1,003 per examination
 Castillo et al. (2021) [76] USA Retrospective chart review 322 patients Low back and tail bone pain Hospital MRI sacrum 5,292 per examination
 Cortes et al. (2019) [77] USA Prospective study 51 patients Rotator cuff tendinopathy Hospital Premature MRI 4,786 per examination
 Dookeran et al. (2021) [78] USA Retrospective chart review 1,472,236 patients Preterm infants—head MRI Hospital Brain MRI among infants with gestational age <= 36 weeks 559,825–1,286,225 cost reduction per year
 Flaherty et al. (2019) [79] USA Retrospective chart review 514,049 records Several Multiple Imaging non-compliant with guidelines MRI 754–854 per examination
 Issa et al. (2014) [80] USA Prospective single center cohort study 21,837 patients Hip pain Hospital MRI hip 149–305 per examination
 Jahanmehr et al. (2019) [81] Iran Descriptive‐analytic study 614 patients Lumbar vertebrae disorders Hospital Imaging non-compliant with guidelines 19.23 per examination
 Kavosi et al. (2021) [82] Iran Cross-sectional study 385 patients Several Hospital Imaging non-compliant with guidelines 119,378 per year
 Khan et al. (2021) [83] UK Retrospective chart review 87 patients Knee pain Hospital Imaging non-compliant with guidelines 18,126 per consultant per year
 Klein (2017) [84] USA Retrospective chart review 81 patients Low back pain Imaging center MRI within 12 months after abdominal CT 1.4–4 billion savings per year nationally
 Martin et al. (2012) [85] USA Retrospective chart review 320 patients Musculoskeletal tumors Hospital Prereferral MRI 732 per examination
 Michelotti et al. (2018) [86] USA Retrospective chart review 140 patients Wrist ligamentous injury Hospital Wrist MRI 2,571 per examination
 Pozo-Rosich et al. (2020) [87] Spain Mixed method study 3,507 records Headache Hospital Imaging non-compliant with guidelines 305 per examination
 Sheridan et al. (2021) [88] Ireland Retrospective cohort study 109 MRI scans Knee pain Hospital MRI for elderly patients 261 per examination
Nuclear medicine
 dos Santos et al. (2016) [89] Brazil Cross-sectional study 190 patients Coronary artery disease Hospital Imaging non-compliant with guidelines 78,346 cost savings per year
 Krill et al. (2012) [90] USA Retrospective chart review 25 patients Solitary kidneys [prenatal] Hospital Routine renal scintigraphy 599–937 per examination
Multiple modalities
 Baugh et al. (2019) [91] USA Prospective multicenter cohort study 3,686 patients Syncope ED Multiple 81 (CR) – 3531 (coronary angiography) per examination
 Bledsoe et al. (2017) [92] USA Retrospective chart review 163 scans Trauma patients ED Duplicate imaging 660–1,048 per examination
 Boutis et al. (2015) [93] Canada Prospective study 2151 patients Acute ankle injuries ED Imaging non-compliant with guidelines

CR 80

CT 116

MRI 134 per examination

 Cheung et al. (2019) [94] USA Root cause analysis and intervention 21 patients Fungemia in children Hospital Abdominal imaging and US 3,663 per examination
 Cooper et al. (2013) [95] USA Retrospective chart review 101 patients Solid tumor of the pancreas Hospital Imaging non-compliant with guidelines, preoperative 4,235 per examination
 Cristofaro et al. (2012) [96] Italy Retrospective chart review 4,018 requests Several Hospital Imaging non-compliant with guidelines 31 per examination
 De Roo et al. (2020) [97] Belgium Prospective study 633 patients Low back pain Hospital Imaging non-compliant with guidelines 13,569 per year for inappropriate examinations
 Falchook et al. (2014) [98] USA Retrospective chart review 47,224 patients Prostate cancer Hospital Bone scan in low- and intermediate-risk patients 11,854,367 per year
Fields et al. (2015) [99] USA Retrospective cohort study 178 patients Fall Hospital Imaging in inpatient falls 66,222 per year
 Frisse et al. (2012) [100] USA Retrospective chart review 31,596 records Several ED Multiple

CR 98

CT 530–618 per examination

 Gupta et al. (2014) [101] Australia Retrospective chart review 219 patients Oncology inpatients Hospital Oncology inpatient investigations 7,023 total during study period
 Hill et al. (2015) [102] USA Retrospective chart review 513 patients Trauma Hospital Duplicate CT/X-ray 120,000 per year
 House et al. (2021) [103] USA Cross-sectional study 621,633 patients ED and hospitalized children Hospital Multiple >10,260,259 per year for inappropriate examinations
 Johnson et al. (2014) [104] USA Retrospectively chart review 167 patients Syncope Hospital Imaging non-compliant with guidelines 1491.61 per examination
 Jung et al. (2015) [105] USA Retrospective chart review 12,620 patients Several Hospital Repeat imaging 40,080 cost savings per year
 Kazemian et al. (2021) [106] USA Retrospective chart review 115 patients Uncomplicated Bell’s palsy Hospital Imaging non-compliant with guidelines

CT 668

MRI 1,208 per examination

 Keidar et al. (2021) [107] USA Cross-sectional review 147 scans Bilateral presbycusis [> 70 years old] Hospital Scans that did not ultimately change surgical planning 33,991 per study population
 Kim et al. (2015) [108] Australia Retrospective chart review 236 patients Prostate cancer Hospital Staging CT of the abdomen and pelvis and whole-body bone scan in asymptomatic low and intermediate-risk patients 73,719 per study population
 Kushwaha et al. (2018) [109] USA Retrospective chart review 799 patients Women with breast pain Imaging center Multiple 382 per examination
Mafi et al. (2017) [110] USA Retrospective chart review 1.7 mill examinations Several Multiple Multiple 2,056 average per examination
 Massa et al. (2018) [111] Italy Retrospective chart review 541 patients Advanced cancer Hospice Imaging near death > 700,000 per year
 Massa et al. (2017) [112] Italy Retrospective chart review 2,516 examinations Breast cancer Hospital Imaging in breast cancer care 123,278 per year
 McAlister et al. (2018) [113] Canada Retrospective cohort study 162,143 patients Several Multiple Multiple 399 per examination
 McGowan et al. (2019) [114] USA Retrospective chart review 104 instances Compression fracture treatment Hospital Follow-up

CT 57–63

MRI 85–127

Plus Professional charges 325–343 per examination

 Morgan et al. (2019) [115] Australia Time-series analysis 1,119,796 CT scans Low back pain Primary care Imaging non-compliant with guidelines 169 per examination
Mortimer et al. (2013) [116] Australia Cost-effectiveness analysis Low back pain Primary care Imaging non-compliant with guidelines

CR 74

CT 211 average per examination

 Nayeri et al. (2015) [117] USA Retrospective cohort study 45 patients Meningioma Hospital Postoperative imaging surveillance

CT 412

MRI 7,034 per examination

 Pellet et al. (2016) [118] USA Retrospective review 113 patients Breast cancer Hospital Routine staging 146,863 total cost
 Pistolese et al. (2013) [119] Italy Retrospective chart review 3,950 requests Breast disease Hospital Breast imaging 22,252 per month
 Prasad et al. (2012) [120] USA Population based observational cohort study 30,183 men Prostate cancer Multiple Newly diagnosed prostate cancer

Bone scan 307

CT 553 per examination

 Redd et al. (2017) [121] USA Retrospective chart review 442 patients Pediatric syncope Hospital Imaging non-compliant with guidelines

CT 44,732

MRI 182,143 total in study

 Shah et al. (2020) [122] USA Retrospective chart review 35 patients Lymphedema praecox Hospital Other imaging than US

CR 390

NM 1,479

MRI 7,000

 Thavorn et al. (2016) [123] Canada Retrospective chart review 22,811 patients Breast cancer Hospital Routine imaging 783,306–1,217,270 per year
 Trofimova et al. (2020) [124] USA Retrospective chart review 3,098 patients Headaches [children] Hospital Imaging non-compliant with guidelines 398,109 total societal cost
 Vilar-Palop et al. (2018) [125] Spain Cross-sectional retrospective study 2,022 examinations Several Hospital Imaging using X-rays in general 42 average per examination
 Wilson et al. (2015) [126] USA Retrospective chart review 121 patients Long-bone cartilaginous lesions Hospital Advanced imaging 1,776 per examination
Winn et al. (2022) [127] USA Simulation modeling Prostate cancer Multiple Imaging in prostate cancer patients 488 per examination
 Wintermark et al. (2021) [128] USA Cost analysis 4,709 cases Several Multiple CT Angiography for pulmonary embolism, adnexal cyst imaging follow-up, advanced imaging for low back pain 45–73% cost reduction

ED Emergency Department, ICU Intensive Care Unit, CR conventional radiography, CT computed tomography, MRI magnetic resonance imaging, US ultrasound, NM nuclear medicine

Sixty-eight studies assessed a single imaging modality, CR (n = 32), MRI (n = 15), CT (n = 11), US (n = 8), and NM (n = 2), while 38 studies assessed the costs of multiple imaging modalities.

Cost of Low-Value Imaging

Sixteen studies reported on the aggregated costs of low-value imaging or possible annual cost reduction, illustrating the amount of healthcare resources spent on imaging without impact on patient management. An overview of the individual studies is presented in Table 2. The possible cost reduction or costs reported varies between setting and patient groups. However, the possible redistribution of resources would be worth billions of dollars globally.

Table 2.

Overview of annual spending on low-value imaging and possible annual savings if reducing low-value imaging in different settings and patient groups

Author/year Country Clinical indication/patient group Reported cost of low-value imaging /possible cost reduction per year (2022 USD)
Chamberlain et al. (2017) [67] USA Children with chest pain in hospital (539 patients) 56,805
De Roo et al. (2020) [97] Belgium Imaging non-compliant with guidelines—Low back pain (633 patients) 13,569
Dookeran et al. (2021) [78] USA Brain MRI among infants with gestational age ≤ 36 weeks (1,472,236 patients) 559,825–1,286,225
dos Santos et al. (2016) [89] Brazil Coronary artery disease—Imaging non-compliant with guidelines (190 patients) 78,346
House et al. (2021) [103] USA Children in ED/hospital (49 hospitals in the USA) > 10 million
Falchook et al. (2014) [98] USA Prostate cancer low/intermediate risk (Nationally) > 11 million
Gupta et al. (2014) [101] Australia Inpatients in oncology department (1 hospital) 30,000
Hayatghaibi et al. (2021) [57] USA Hospital—head CT (3186 examinations) 204,019
Hill et al. (2015) [102] USA Trauma—duplicate imaging (513 patients) 120,000
Kavosi et al. (2021) [82] Iran Imaging non-compliant with guidelines (385 patients) 119,378
Klein (2017) [84] USA Low back pain—MRI within 12 months after abdominal CT (81 patients) 1.4–4 billion
Massa et al. (2018) [111] Italy Hospice patients last 3 months of life (cohort 541 patients) > 700,000
Morden et al. (2014) [42] USA DXA screening (13.8 million beneficiaries) 20 million
Ryan et al. (2019) [22] Ireland Imaging non-compliant with guidelines (1124 patients) 10,769
Thavorn et al. (2016) [123] Canada Breast cancer—routine imaging (22,811 patients) 783,306–1,217,270
Trofimova et al. (2020) [124] USA Children—headaches Imaging non-compliant with guidelines (3098 patients) 398,109

USD US dollars

Based on the reported cost per examination of the included studies an overview per modality is presented in Table 3, both in terms of overall cost per modality and with examples of specific patient groups. Costs vary based on cost level in different countries and imaging techniques, for example, in MRI number of sequences and use of contrast media [22, 24, 2634, 3744, 46, 47, 5053, 5558, 60, 61, 6375, 7791, 95, 96, 99, 102, 104, 106110, 112114, 117126].

Table 3.

Cost per imaging examination for low-value imaging per modality with some specific patient groups as examples

Cost in USD 2022
Low-value practice in conventional radiography/fluoroscopy (CR)
 Overall—CR 4.27–3,696.13
  Routine postoperative or follow-up X-rays in orthopedics 404.31
  Routine use of chest X-ray 226.44
  Imaging in breast cancer 122.01
  Imaging outside guidelines in syncope patients 1,035.59
  Other 324.53
Low-value practice in computed tomography (CT)
 Overall—CT 78.9–5157.46
  CT imaging in relation to fractures/trauma 716.51
  CT imaging in relation to oncology 633.03
  CT imaging in relation to syncope 1,028.42
  Other 1,388.92
Low-value practice in magnetic resonance imaging (MRI)
 Overall—MRI 27.44–7,124.63
  Musculoskeletal MRI 1,302.22
  MRI in oncology patients 1,486.87
  MRI in syncope 1,690.09
  MRI in headache 579.06
  Other 1,273.47
Low-value practice in ultrasound (US)
 Overall—US 36.35–5397.80
  US in oncology patients 295.64
  US in syncope patients 1,407.97
  Other 537.41
Low-value practice in nuclear medicine (NM)
 Overall—NM 246.38–6,996.20
  Oncology patients 1,708.02
  Other 1,578.55

USD US dollars

Low-value CR imaging in the included studies was mostly routine use of musculoskeletal or chest x-rays (CXR) in pre-/post-operative follow-up examinations. However, mammography, angiography, gastrointestinal imaging, and bone density scans used routinely or in follow-up were also included [22, 24, 2634, 37, 38, 4044, 46, 47, 5053, 91, 99, 102, 104, 109, 110, 113, 119, 122125].

For CT and MRI, oncology, orthopedic, cardiovascular, and neurology patients were the dominating patient groups included, with routine examinations or imaging non-compliant with guidelines dominating the findings [5558, 60, 61, 6365, 74, 75, 7788, 91, 95, 96, 99, 102, 104, 106110, 112114, 117126].

In US, examinations in oncology and cardiovascular diseases were most common amongst the included studies [6671, 73, 91, 95, 96, 104, 109, 112, 118, 119, 121, 123], while in NM, examinations for oncology patients were most common [89, 90, 95, 104, 108, 110, 111, 118, 120, 122, 123].

Possible Cost Reduction Through Initiatives in Practice

Four studies, including cost-reduction calculations of interventions to reduce the use of low-value imaging, showed that costs of lower back pain imaging could be reduced by 95% in Australia [115, 116], 73–83% in the USA [128], and up to 16% in Belgium without harm to patients [97]. When introducing an intervention to reduce the routine/daily use of CXR in the ICU, four studies showed a cost reduction of 20‒66% without affecting quality of care [25, 35, 36, 54]. Furthermore, the reduction of preoperative routine CXR reduced costs by 88% in one study [45]. For X-rays of ankle injuries, two studies found that using the guidelines could reduce costs by 7‒49% [48, 93]. One RCT study examining a simplified radiography follow-up regime after stable fracture fixations demonstrated a cost reduction of 65% [49]. Four studies, two in a hospital/Emergency Department setting [100, 105] and two specifically in trauma patients [62, 92] assessed the use of health information exchange to reduce imaging examinations. In trauma patients, a 37‒47% cost reduction was shown, while the changes in cost were small in the overall use of imaging, as some examinations increased in use while others were reduced. Other studies on various patient groups showed 34‒70% cost reduction [59, 94, 127, 128].

Discussion

This study is the first systematic review of the costs of low-value imaging globally. Given the universal challenges with resource allocation, this represents a vast opportunity cost and a great potential for providing high-quality services and improving the quality of care. Variation in access and use of imaging is found between and within countries and regions, indicating overuse in some areas and underuse in others. Low-value imaging is most common in areas with easy service access [129134]. Thus, the potential opportunity cost and potential for improvement of the quality of services will vary.

Earlier research has identified specific clinical indications where low-value imaging is more prominent, such as atraumatic pain and routine imaging in minor head injuries, urolithiasis, trauma, thrombosis, and follow-ups [14]. This review demonstrates that some initiatives for reducing low-value imaging yield substantial cost reduction, as costs for low-value lower back pain imaging could be reduced by 95%, and preoperative routine CXR costs could be reduced by 88%. At the same time, other initiatives demonstrated less cost reduction (< 20%). Thus, some types of imaging have a higher potential for reducing costs, or there are differences in the success rate of the chosen intervention. The right combination of imaging to target and type of intervention can free resources for other high-value services, both in imaging and in other parts of the health services, by reducing cascaded unnecessary care [135]. This will improve the quality and efficiency of care and could help reduce healthcare emissions [136].

A systematic review of measures for reducing low-value imaging found that most initiatives focus on implementing guidelines and training referrers to reduce the number of inappropriate referrals to imaging [137], and that most initiatives target musculoskeletal, neuro, and vascular imaging. Several of the initiatives succeeded in reducing the use of imaging, at least for a short time. However, initiatives may need to target other parts of the health services than the referrer alone. To create sustainable change, it will be important to target low-value health service drivers broadly. As shown by Landon et al. [138], drivers of low-value services are complex and can be found at all levels: hospital, provider, and patient. Financial incentives, culture in the medical community, and intensity of care are especially strong drivers. Hence, measures addressing drivers on all levels of healthcare and imaging services are needed to tackle the challenge of low-value imaging.

Furthermore, some examinations are more resource intensive. For example, MRI and NM represent 3% and 1% of the total imaging volume, respectively. However, they have the highest overall costs per examination. This can be explained by the high costs of these examinations and the status and imperative of hi-tech imaging [139, 140]. Therefore, reducing low-value utilization of such examinations may result in great resources freed for high-value care.

Strengths and Limitations

As with all systematic reviews, this study depends on the content and quality of the included studies. According to our assessment, the quality of the studies varied, and results reported are thus of variable quality as well. In addition, the methodology used in the studies for calculating costs varied greatly. While some studies reported on thorough cost analysis, many reported costs as part of an overall objective, for example, estimates on cost reduction from a measure implemented at the hospital. Moreover, many different sources of cost data were used, such as direct and indirect cost calculations, fees, price lists at hospitals, or reimbursement amounts, permitting a large variation in reported costs. However, cost levels vary between healthcare systems and countries worldwide, which may be mirrored in the included studies. Furthermore, countries with underuse are possibly under-represented in this study but are also much less likely to have high rates of low-value care. Correspondingly, cost estimates are based on studies from countries that have documented higher rates of low-value imaging. The bias in the publications on cost may represent a “natural weighting” of the extent of low-value imaging as there are more publications from areas that are more concerned about low-value imaging and its opportunity cost.

As pointed out in the Methods section (Sect. 2), we estimated the year of cost calculation (publication year) for studies lacking adequate information. This may not be correct. However, the resulting errors may be small, as the yearly cost changes are small. For the proportion of low-value imaging, there may be relevant differences for the various modalities. Further, analysis is not possible based on this data set, however points to knowledge gaps urgently needing to be filled by further research.

Finally, a strength of this study is the use of the costs of specific low-value imaging examinations and not for imaging in general. Thus, the costs of low-value examinations were in all probability identified through this search strategy. In addition, while low-value care is a well-defined area in general, the efforts to reduce low-value healthcare have been hampered by the lack of consensus around a single definition for “value.” For example, imaging can be seen as valuable to calm people’s anxiety, i.e., due to its anxiolytic effect. In this review we have only considered direct, intended, and documented health effects as valuable. Moreover, we have, as has been suggested elsewhere [141, 142], included economic values in assessing low-value care.

Conclusions

This review documents the costs of low-value imaging amounts to billions of dollars worldwide and demonstrates vast opportunity costs and great potential to improve the quality and efficiency of health services. This potential will be greatest in areas with high utilization of low-value imaging. Drivers of low-value imaging should be addressed at all levels of healthcare to reduce low-value imaging and expedite access to high-value imaging. Hence, more knowledge is needed on costs, specific drivers, and effective measures for reducing low-value imaging and improving the quality of care.

Supplementary Information

Below is the link to the electronic supplementary material.

Acknowledgements

The authors would like to thank Maria Engås Halsne for access to results from the pilot searches made in Medline.

Declarations

Funding/Support

Open access funding provided by NTNU Norwegian University of Science and Technology (incl St. Olavs Hospital - Trondheim University Hospital). This work was supported by grant 302503 from the Norwegian Research Council. The funder had no role in the design and conduct of the study.

Conflict of Interest

Kjelle: No conflict of interest. Brandsæter: No conflict of interest. Andersen: No conflict of interest. Hofmann: No conflict of interest.

Ethics Approval

Not applicable.

Consent to Participate

Not applicable.

Consent for Publication (from patients/participants)

Not applicable.

Availability of Data and Material

Data extracted from the included papers are available in Online Supplementary Material File 4.

Code Availability

Not applicable.

Authors' Contributions

Kjelle: Planning, searching, screening, full-text screening, snowballing, analysis, drafting, and revision of the manuscript. Brandsæter: Planning, screening, full-text screening, snowballing, analysis, and manuscript revision. Andersen: Planning, screening, full-text screening, snowballing, analysis, and manuscript revision. Hofmann: Planning, screening, full-text screening, snowballing, analysis, and manuscript revision.

References

  • 1.Brady AP, Bello JA, Derchi LE, Fuchsjäger M, Goergen S, Krestin GP, et al. Radiology in the era of value-based healthcare: a multi-society expert statement from the ACR, CAR, ESR, IS3R, RANZCR, and RSNA. Radiology. 2021;298:486–491. doi: 10.1148/radiol.2020209027. [DOI] [PubMed] [Google Scholar]
  • 2.European Commission . Defining value in ‘value-based healthcare’: opinion by the Expert Panel on effective ways of investing in Health (EXPH) Publications Office; 2019. [Google Scholar]
  • 3.World health organization. To X-ray or not to X-ray? [Internet]. 2022. https://www.who.int/news-room/feature-stories/detail/to-x-ray-or-not-to-x-ray. Accessed 01 Aug 2023.
  • 4.Lakrimi M. Magnetic Resonance Imaging (MRI) and its global impact in healthcare [Internet]. 2018. https://www.researchgate.net/publication/331563555_Magnetic_Resonance_Imaging_MRI_and_its_global_impact_in_healthcare/references. Accessed 20 Apr 2023.
  • 5.NHS. Diagnostic Imaging Dataset Annual Statistical Release 2017/18 [Internet]. England; 2019. https://www.england.nhs.uk/statistics/wp-content/uploads/sites/2/2018/11/Annual-Statistical-Release-2017-18-PDF-1.6MB-1.pdf. Accessed 01 Aug 2023.
  • 6.Schöckel L, Jost G, Seidensticker P, Lengsfeld P, Palkowitsch P, Pietsch H. Developments in X-ray contrast media and the potential impact on computed tomography. Invest Radiol. 2020;55:592–597. doi: 10.1097/RLI.0000000000000696. [DOI] [PubMed] [Google Scholar]
  • 7.World Nuclear Association. Radioisotopes in Medicine [Internet]. 2022. https://world-nuclear.org/information-library/non-power-nuclear-applications/radioisotopes-research/radioisotopes-in-medicine.aspx. Accessed 03 Aug 2023.
  • 8.Socha K, Couffinhal A, Forde I, Nader C, Cecchini M, Lee S, et al. Tackling wasteful spending on health [Internet] Paris: OECD Publishing; 2017. [Google Scholar]
  • 9.Hendee WR, Becker GJ, Borgstede JP, Bosma J, Casarella WJ, Erickson BA, et al. Addressing overutilization in medical imaging. Radiology. 2010;257:240–245. doi: 10.1148/radiol.10100063. [DOI] [PubMed] [Google Scholar]
  • 10.Ingraham B, Miller K, Iaia A, Sneider MB, Naqvi S, Evans K, et al. Reductions in high-end imaging utilization with radiology review and consultation. J Am Coll Radiol. 2016;13:1079–1082. doi: 10.1016/j.jacr.2016.04.016. [DOI] [PubMed] [Google Scholar]
  • 11.Sheng AY, Castro A, Lewiss RE. Awareness, utilization, and education of the ACR appropriateness criteria: a review and future directions. J Am Coll Radiol. 2016;13:131–136. doi: 10.1016/j.jacr.2015.08.026. [DOI] [PubMed] [Google Scholar]
  • 12.Colla CH. Swimming against the current—what might work to reduce low-value care? N Engl J Med. 2014;371:1280–1283. doi: 10.1056/NEJMp1404503. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Rao VM, Levin DC. The overuse of diagnostic imaging and the Choosing Wisely initiative. Ann Intern Med. 2012;157:574–576. doi: 10.7326/0003-4819-157-8-201210160-00535. [DOI] [PubMed] [Google Scholar]
  • 14.Kjelle E, Andersen ER, Krokeide AM, Soril LJJ, Van Bodegom-Vos L, Clement FM, et al. Characterizing and quantifying low-value diagnostic imaging internationally: a scoping review. BMC Med Imaging. 2022;22:73. doi: 10.1186/s12880-022-00798-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Levin DC, Rao VM. Reducing inappropriate use of diagnostic imaging through the choosing wisely initiative. J Am Coll Radiol. 2017;14:1245–1252. doi: 10.1016/j.jacr.2017.03.012. [DOI] [PubMed] [Google Scholar]
  • 16.Hong AS, Hong DR-D, Zhang F, Frank Wharam J. Small decline in low-value back imaging associated with the ‘Choosing Wisely’ campaign. Health Aff. 2017;36:671–679. doi: 10.1377/hlthaff.2016.1263. [DOI] [PubMed] [Google Scholar]
  • 17.Barth JH, Misra S, Aakre KM, Langlois MR, Watine J, Twomey PJ, et al. Why are clinical practice guidelines not followed? Clin Chem Lab Med (CCLM). 2016;54:1133–1139. doi: 10.1515/cclm-2015-0871. [DOI] [PubMed] [Google Scholar]
  • 18.Berezin L, Thompson C, Rojas-Luengas V, Borgundvaag B, McLeod SL. Lumbosacral spinal imaging for patients presenting to the emergency department with nontraumatic low back pain. J Emerg Med. 2020;58:269–274. doi: 10.1016/j.jemermed.2019.12.017. [DOI] [PubMed] [Google Scholar]
  • 19.DeAngelis J, Lou V, Li T, Tran H, Bremjit P, McCann M, et al. Head CT for minor head injury presenting to the emergency department in the era of choosing wisely. West J Emerg Med. 2017;18:821–829. doi: 10.5811/westjem.2017.6.33685. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Mafi JN, Reid RO, Baseman LH, Hickey S, Totten M, Agniel D, et al. Trends in Low-value health service use and spending in the Us Medicare Fee-for-Service Program, 2014–2018. JAMA Netw Open. 2021;4:e2037328–e2037328. doi: 10.1001/jamanetworkopen.2020.37328. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Rosenberg A, Agiro A, Gottlieb M, Barron J, Brady P, Liu Y, et al. Early trends among seven recommendations from the choosing wisely campaign. JAMA Intern Med. 2015;175:1913–1920. doi: 10.1001/jamainternmed.2015.5441. [DOI] [PubMed] [Google Scholar]
  • 22.Ryan JW, Hollywood A, Stirling A, Glynn M, MacMahon PJ, Bolster F. Evidenced-based radiology? A single-institution review of imaging referral appropriateness including monetary and dose estimates for inappropriate scans. Ir J Med Sci. 2019;188:1385–1389. doi: 10.1007/s11845-019-02005-8. [DOI] [PubMed] [Google Scholar]
  • 23.Moola S MZ Tufanaru C, Aromataris E, Sears K, Sfetcu R, Currie M, Qureshi R, Mattis P, Lisy K, Mu PF. Chapter 7: systematic reviews of etiology and risk in JBI manual for evidence synthesis [Internet]. JBI; 2020. https://synthesismanual.jbi.global. Accessed 23 Jun 2023.
  • 24.Birir A, Amen TB, Varady NH, Chen AF. Clinical efficacy and cost-effectiveness of postoperative radiographs after total knee arthroplasty. Knee. 2021;32:97–102. doi: 10.1016/j.knee.2021.08.002. [DOI] [PubMed] [Google Scholar]
  • 25.Brogi E, Bignami E, Sidoti A, Shawar M, Gargani L, Vetrugno L, et al. Could the use of bedside lung ultrasound reduce the number of chest x-rays in the intensive care unit? Cardiovasc Ultrasound. 2017;15:23–23. doi: 10.1186/s12947-017-0113-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Chui J, Saeed R, Jakobowski L, Wang W, Eldeyasty B, Zhu F, et al. Is routine chest X-ray after ultrasound-guided central venous catheter insertion choosing wisely?: a population-based retrospective study of 6,875 patients. Chest. 2018;154:148–156. doi: 10.1016/j.chest.2018.02.017. [DOI] [PubMed] [Google Scholar]
  • 27.Crawford EJ, Pincus D, Camp MW, Coyte PC. Cost savings of implementing the SickKids Paediatric Orthopaedic Pathway for proximal humerus fractures in Ontario, Canada. Paediatr Child Health. 2018;23:e109–e116. doi: 10.1093/pch/pxx208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Dempsey IJ, Kew ME, Cancienne JM, Werner BC, Brockmeier SF. Utility of postoperative radiography in routine primary total shoulder arthroplasty. J Shoulder Elbow Surg. 2017;26:e222–e226. doi: 10.1016/j.jse.2016.11.035. [DOI] [PubMed] [Google Scholar]
  • 29.Diaz Vico T, Elli EF. Utility of immediate postoperative upper gastrointestinal contrast study in bariatric surgery. Obes Surg. 2019;29:1130–1133. doi: 10.1007/s11695-018-03639-w. [DOI] [PubMed] [Google Scholar]
  • 30.Feng TS, Perkins CE, Wood LN, Eilber KS, Wang JK, Bresee C, et al. Preoperative testing for urethral sling surgery for stress urinary incontinence: overuse, underuse and cost implications. J Urol. 2016;195:120–124. doi: 10.1016/j.juro.2015.07.110. [DOI] [PubMed] [Google Scholar]
  • 31.Gil-Borrelli CC, Agusti S, Pla R, Diaz-Redondo A, Zaballos M. Economic impact of clinical variability in preoperative testing for major outpatient surgery. Impacto economico de la variabilidad clinica en la peticion de pruebas preoperatorias en cirugia mayor ambulatoria. 2016;94:280–6. [DOI] [PubMed]
  • 32.Izamin I, Rizal AMM. Chest X-ray as an essential part of routine medical examination: is it necessary? Med J Malays. 2012;67:606–609. [PubMed] [Google Scholar]
  • 33.Jennewine B, Fiorino D, Kew M, Byrne A, Yarboro S. Routine postoperative radiographs after tibia plateau fixation have minimal impact on patient care. Injury. 2019;50:2093–2096. doi: 10.1016/j.injury.2019.07.025. [DOI] [PubMed] [Google Scholar]
  • 34.Kempegowda H, Richard R, Borade A, Tawari A, Howenstein AM, Kubiak EN, et al. The role of radiographs and office visits in the follow-up of healed intertrochanteric hip fractures: an economic analysis. J Orthopaedic Trauma. 2016;30:687–690. doi: 10.1097/BOT.0000000000000682. [DOI] [PubMed] [Google Scholar]
  • 35.Keveson B, Clouser RD, Hamlin MP, Stevens PMSNRN, Stinnett-Donnelly JM, Allen GB. Adding value to daily chest X-rays in the ICU through education, restricted daily orders and indication-based prompting. BMJ Open Qual. 2017;6:e000072. doi: 10.1136/bmjoq-2017-000072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Ko A, Murry JS, Hoang DM, Harada MY, Aquino L, Coffey C, et al. High-value care in the surgical intensive care unit: effect on ancillary resources. J Surg Res. 2016;202:455–460. doi: 10.1016/j.jss.2016.01.040. [DOI] [PubMed] [Google Scholar]
  • 37.Ling S-NJ, Cleary AJ. Are unnecessary serial radiographs being ordered in children with distal radius buckle fractures? Radiol Res Pract. 2018;2018:5143639. doi: 10.1155/2018/5143639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Longenecker AS, Kazarian GS, Boyer GP, Lonner JH. Radiographic imaging in the postanesthesia care unit is unnecessary after partial knee arthroplasty. J Arthroplasty. 2017;32:1431–1433. doi: 10.1016/j.arth.2016.11.033. [DOI] [PubMed] [Google Scholar]
  • 39.Maldonado S, Hi N, Ha T, Choi P, Khalkhali I, Kalantari BN, et al. Utility of short-interval follow-up mammography after a benign-concordant stereotactic breast biopsy result. Breast. 2018;42:50–53. doi: 10.1016/j.breast.2018.08.101. [DOI] [PubMed] [Google Scholar]
  • 40.McCabe RM, Grainger M, Davis J. Routine in-hospital radiographs following anterior cervical discectomy and fusion surgery: neither necessary nor cost-effective? Cureus. 2021;13:e19975. doi: 10.7759/cureus.19975. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.McGrath E, Ranstrom L, Lajoie D, McGlynn L, Mooney D. Is a chest radiograph required after removal of chest tubes in children? J Pediatr Health Care. 2017;31:588–593. doi: 10.1016/j.pedhc.2017.04.014. [DOI] [PubMed] [Google Scholar]
  • 42.Morden NE, Schpero WL, Zaha R, Sequist TD, Colla CH. Overuse of short-interval bone densitometry: assessing rates of low-value care. Osteopor Int. 2014;25:2307–2311. doi: 10.1007/s00198-014-2725-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Porter ED, Kelly JL, Fay KA, Hasson RM, Millington TM, Finley DJ, et al. Reducing unnecessary chest X-ray films after thoracic surgery: a quality improvement initiative. Ann Thorac Surg. 2021;111:1012–1018. doi: 10.1016/j.athoracsur.2020.05.161. [DOI] [PubMed] [Google Scholar]
  • 44.Rafiq MS, Rafiq M, Rafiq MI, Salman SG, Hafeez S. Doing Pre-operative investigations in emergency department; a clinical audit. Emergency (Tehran, Iran). 2017;5:e20. [PMC free article] [PubMed] [Google Scholar]
  • 45.Richards SE, Shiffermiller JF, Wells AD, May SM, Chakraborty S, Caverzagie KJ, et al. A clinical process change and educational intervention to reduce the use of unnecessary preoperative tests. J Grad Med Educ. 2014;6:733–737. doi: 10.4300/JGME-D-14-00211.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Sanchez Morales D, Borade A, Serrano-Riera R, Maniar HH, Sanders RW, Horwitz DS. Potential economic benefits of limited clinical and radiographic follow-up after plate fixation of midshaft clavicle fractures. J Am Acad Orthop Surg. 2019;27:405–409. doi: 10.5435/JAAOS-D-17-00598. [DOI] [PubMed] [Google Scholar]
  • 47.Stone JD, Vaccaro LM, Brabender RC, Hess AV. Utility and cost analysis of radiographs taken 2 weeks following plate fixation of distal radius fractures. J Hand Surg. 2015;40:1106–1109. doi: 10.1016/j.jhsa.2015.02.013. [DOI] [PubMed] [Google Scholar]
  • 48.Tharao MK, Oroko P, Abdulkarim A, Saidi H. Validation of the Ottawa ankle rules at a tertiary teaching hospital. Ann Afr Surg. 2015;12:77–80. [Google Scholar]
  • 49.Tufescu T. The cost of screening radiographs after stable fracture fixation. Can J Surg. 2017;60:53–56. doi: 10.1503/CJS.004416. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Vicente-Guijarro J, Valencia-Martin JL, Moreno-Nunez P, Ruiz-Lopez P, Mira-Solves JJ, Aranaz-Andres JM, et al. Estimation of the overuse of preoperative chest X-rays according to “Choosing Wisely”, “No Hacer”, and “Essencial” initiatives: are they equally applicable and comparable? Int J Environ Res Public Health. 2020;26;17(23):8783. [DOI] [PMC free article] [PubMed]
  • 51.Werner BC, Burrus MT, Kew ME, Dempsey IJ, Gwathmey FW, Miller MD, et al. Limited utility of routine early postoperative radiography after primary ACL reconstruction. Knee. 2016;23:237–240. doi: 10.1016/j.knee.2015.09.006. [DOI] [PubMed] [Google Scholar]
  • 52.Woodland DC, Randall Cooper C, Farzan Rashid M, Rosario VL, Weyker PD, Weintraub J, et al. Routine chest X-ray is unnecessary after ultrasound-guided central venous line placement in the operating room. J Crit Care. 2018;46:13–16. doi: 10.1016/j.jcrc.2018.03.027. [DOI] [PubMed] [Google Scholar]
  • 53.Wrotek A, Czajkowska M, Jackowska T. Chest radiography in children hospitalized with bronchiolitis. Adv Exp Med Biol. 2019;1222:55–62. doi: 10.1007/5584_2019_435. [DOI] [PubMed] [Google Scholar]
  • 54.Wu Y, Rose MQ, Freeman ML, Richard-Lany NP, Spaulding AC, Booth SC, et al. Reducing chest radiography utilization in the medical intensive care unit. J Am Assoc Nurse Practition. 2020;32:390–399. doi: 10.1097/JXX.0000000000000256. [DOI] [PubMed] [Google Scholar]
  • 55.Behmanesh B, Keil F, Dubinski D, Won S-Y, Quick-Weller J, Seifert V, et al. The value of computed tomography imaging of the head after ventriculoperitoneal shunt surgery in adults. World Neurosurg. 2019;121:e159–e164. doi: 10.1016/j.wneu.2018.09.063. [DOI] [PubMed] [Google Scholar]
  • 56.Benayoun MD, Allen JW, Lovasik BP, Uriell ML, Sporfer RM, et al. Utility of computed tomographic imaging of the cervical spine in trauma evaluation of ground-level fall. J Trauma Acute Care Surg. 2016;81:339–344. doi: 10.1097/TA.0000000000001073. [DOI] [PubMed] [Google Scholar]
  • 57.Hayatghaibi SE, Sammer MBK, Varghese V, Seghers VJ, Sher AC. Prospective cost implications with a clinical decision support system for pediatric emergency head computed tomography. Pediatric Radiol. 2021;51:2561–2567. doi: 10.1007/s00247-021-05159-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Kothari S, Kalinowski M, Kobeszko M, Almouradi T. Computed tomography scan imaging in diagnosing acute uncomplicated pancreatitis: Usefulness vs cost. World J Gastroenterol. 2019;25:1080–1087. doi: 10.3748/wjg.v25.i9.1080. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Martyak M, Collins J, Burgess J. Optimization of resource allocation after implementation of mild traumatic brain injury treatment protocol. Am Surgeon. 2018;84:1303–1306. doi: 10.1177/000313481808400841. [DOI] [PubMed] [Google Scholar]
  • 60.Miller BJ, Carmody Soni EE, Reith JD, Gibbs CP, Scarborough MT. CT scans for pulmonary surveillance may be overused in lower-grade sarcoma. Iowa Orthop J. 2012;32:28–34. [PMC free article] [PubMed] [Google Scholar]
  • 61.Parma C, Carney D, Grim R, Bell T, Shoff K, Ahuja V. Unnecessary head computed tomography scans: A level 1 trauma teaching experience. Am Surgeon. 2014;80:664–668. doi: 10.1177/000313481408000720. [DOI] [PubMed] [Google Scholar]
  • 62.Quick JA, Bartels AN, Coughenour JP, Barnes SL. Trauma transfers and definitive imaging: patient benefit but at what cost? Am Surg. 2013;79:301–304. doi: 10.1177/000313481307900331. [DOI] [PubMed] [Google Scholar]
  • 63.Sharma AN, Tiourin E, Banyard DA, Sharma SN, Ng WKY. Clinical utility of postoperative computed tomography imaging in orbital floor fracture management. Ann Plast Surg. 2019;83:43–47. doi: 10.1097/SAP.0000000000001777. [DOI] [PubMed] [Google Scholar]
  • 64.Stewart CN, Wood L, Barta RJ. Validation of the “Wisconsin Criteria” for obtaining dedicated facial imaging and its financial impact at a level 1 trauma center. Craniomaxillofac Trauma Reconstr. 2020;13:4–8. doi: 10.1177/1943387520910020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Westfall KM, Purcell LN, Charles AG. Computed tomography for acute appendicitis diagnosis and confirmation in men: trends and cost implications. Amer Surgeon. 2021;87:364–369. doi: 10.1177/0003134820951483. [DOI] [PubMed] [Google Scholar]
  • 66.Al Darrab R, Almaini R, Alqarni H, Alfraidi OB, Khan I, Melaibary B, et al. The role of ultrasonography in the management of undescended testes. A 6 year review. Curr Pediatric Res. 2021;25:408–412. [Google Scholar]
  • 67.Chamberlain RC, Pelletier JH, Blanchard S, Hornik CP, Hill KD, Campbell MJ. Evaluating appropriate use of pediatric echocardiograms for chest pain in outpatient clinics. J Am Soc Echocardiogr. 2017;30:708–713. doi: 10.1016/j.echo.2017.03.008. [DOI] [PubMed] [Google Scholar]
  • 68.Jawa NA, Rosenblum ND, Radhakrishnan S, Pearl RJ, Levin L, Matsuda-Abedini M. Reducing unnecessary imaging in children with multicystic dysplastic kidney or solitary kidney. Pediatrics [Internet]. 2021/07/08 ed. 2021;148. Available from: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113439519&doi=10.1542%2fpeds.2020-035550&partnerID=40&md5=1847908e7126ee5f6d724c1044394e3fhttps://publications.aap.org/pediatrics/article-abstract/148/2/e2020035550/179750/Reducing-Unnecessary-Imaging-in-Children-With?redirectedFrom=fulltext. Accessed 20 Apr 2023 [DOI] [PubMed]
  • 69.Maurer MH, Winkler A, Wichlas F, Powerski MJ, Elgeti F, Huppertz A, et al. [Costs and role of ultrasound follow-up of polytrauma patients after initial computed tomography]. Kosten und Stellenwert von Ultraschallverlaufskontrollen bei polytraumatisierten Patienten nach initialer Computertomografie. 2012;184:53–8. [DOI] [PubMed]
  • 70.Mouawad NJ, Go MR, Haurani MJ, Moseley M, Satiani B. Elimination of medically unnecessary duplex venous scanning based on an established algorithm can result in significant cost savings under Medicare for the institution and the taxpayer. J Vasc Surg Venous Lymphat Disord. 2015;3:107–112. doi: 10.1016/j.jvsv.2014.07.004. [DOI] [PubMed] [Google Scholar]
  • 71.Mousa AY, Broce M, Gill G, Kali M, Yacoub M, Aburahma AF. Appropriate use of d-dimer testing can minimize over-utilization of venous duplex ultrasound in a contemporary high-volume hospital. Ann Vasc Surg. 2015;29:311–317. doi: 10.1016/j.avsg.2014.07.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Mousa AY, Broce M, De Wit D, Baskharoun M, Abu-Halimah S, Yacoub M, et al. Appropriate use of venous imaging and analysis of the d-dimer/clinical probability testing paradigm in the diagnosis and location of deep venous thrombosis. Ann Vasc Surg. 2018;50:21–29. doi: 10.1016/j.avsg.2017.12.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Thompson TM, Hasselman TE, Wang Y, Jantzen DW. Appropriateness and cost-effectiveness of echocardiograms ordered by pediatric cardiologists and primary care providers for syncope. Clin Pediatr (Phila) 2021;60:459–464. doi: 10.1177/00099228211038267. [DOI] [PubMed] [Google Scholar]
  • 74.Amin N, McIntyre L, Carter T, Xerogeanes J, Voigt J. Cost-effectiveness analysis of needle arthroscopy versus magnetic resonance imaging in the diagnosis and treatment of meniscal tears of the knee. Arthroscopy. 2019;35:554–562.e13. doi: 10.1016/j.arthro.2018.09.030. [DOI] [PubMed] [Google Scholar]
  • 75.Babbel D, Rayan G. Magnetic resonance imaging in evaluating workers’ compensation patients. J Hand Surg. 2012;37:811–815. doi: 10.1016/j.jhsa.2011.12.008. [DOI] [PubMed] [Google Scholar]
  • 76.Castillo S, Joodi R, Williams LE, Pezeshk P, Chhabra A. Sacrum magnetic resonance imaging for low back and tail bone pain: A quality initiative to evaluate and improve imaging utility. World J Methodol. 2021;11:110–115. doi: 10.5662/wjm.v11.i4.110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Cortes A, Quinlan NJ, Nazal MR, Upadhyaya S, Alpaugh K, Martin SD. A value-based care analysis of magnetic resonance imaging in patients with suspected rotator cuff tendinopathy and the implicated role of conservative management. J Shoulder Elbow Surg. 2019;28:2153–2160. doi: 10.1016/j.jse.2019.04.003. [DOI] [PubMed] [Google Scholar]
  • 78.Dookeran KA, Groh JM, Ritacco DG, Marcus LR, Wang Y, Khan JY. An assessment of prevalence and expenditure associated with discharge brain MRI in preterm infants. PLoS ONE. 2021;16:e0247857. doi: 10.1371/journal.pone.0247857. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Flaherty S, Zepeda ED, Mortele K, Young GJ. Magnitude and financial implications of inappropriate diagnostic imaging for three common clinical conditions. Int J Qual Health Care. 2019;31:691–697. doi: 10.1093/intqhc/mzy248. [DOI] [PubMed] [Google Scholar]
  • 80.Issa K, Jauregui JJ, McElroy M, Banerjee S, Kapadia BH, Mont MA. Unnecessary magnetic resonance imaging of hips: an economic burden to patients and the healthcare system. J Arthroplasty. 2014;29:1911–1914. doi: 10.1016/j.arth.2014.05.022. [DOI] [PubMed] [Google Scholar]
  • 81.Jahanmehr N, Bigdeli AS, Salari H, Mokarami H, KhodaKarim S, Damiri S. Analyzing inappropriate magnetic resonance imaging (MRI) prescriptions and resulting economic burden on patients suffering from back pain. Int J Health Plan Manag. 2019;34:e1437–e1447. doi: 10.1002/hpm.2806. [DOI] [PubMed] [Google Scholar]
  • 82.Kavosi Z, Sadeghi A, Lotfi F, Salari H, Bayati M. The inappropriateness of brain MRI prescriptions: a study from Iran. Cost Effect Resour Alloc. 2021;19:14. doi: 10.1186/s12962-021-00268-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Khan MM, Pincher B, Pacheco R. Unnecessary magnetic resonance imaging of the knee: How much is it really costing the NHS? Ann Med Surg. 2021. 10.1016/j.amsu.2021.102736. [DOI] [PMC free article] [PubMed]
  • 84.Klein MA. Reuse and reduce: abdominal CT, lumbar spine MRI, and a potential 1.2 to 3.4 billion dollars in cost savings. Abdom Radiol. 2017;42:2940–2945. doi: 10.1007/s00261-017-1201-9. [DOI] [PubMed] [Google Scholar]
  • 85.Martin CT, Morcuende J, Buckwalter JA, Miller BJ. Prereferral MRI use in patients with musculoskeletal tumors is not excessive. Clin Orthop Relat Res. 2012;470:3240–3245. doi: 10.1007/s11999-012-2394-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Michelotti BF, Mathews A, Chung KC. Appropriateness of the use of magnetic resonance imaging in the diagnosis and treatment of wrist soft tissue injury. Plast Reconstr Surg. 2018;141:410–419. doi: 10.1097/PRS.0000000000004023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Pozo-Rosich P, Layos-Romero A, Martin-Delgado J, Pascual J, Bailon C, Tentor A, et al. Low-value care practice in headache: a Spanish mixed methods research study. J Headache and Pain. 2020;21:74. doi: 10.1186/s10194-020-01147-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Sheridan GA, Bisseru A, Glynn AA. The utility of MRI scans for a painful knee in the elderly patient. Ir J Med Sci. 2021;190:363–366. doi: 10.1007/s11845-020-02261-z. [DOI] [PubMed] [Google Scholar]
  • 89.dos Santos MA, Santos MS, Tura BR, Félix R, Brito ASX, De Lorenzo A. Budget impact of applying appropriateness criteria for myocardial perfusion scintigraphy: The perspective of a developing country. J Nucl Cardiol. 2016;23:1160–1165. doi: 10.1007/s12350-016-0505-4. [DOI] [PubMed] [Google Scholar]
  • 90.Krill A, Cubillos J, Gitlin J, Palmer LS. Abdominopelvic ultrasound: A cost-effective way to diagnose solitary kidney. J Urol. 2012;187:2201–2204. doi: 10.1016/j.juro.2012.01.129. [DOI] [PubMed] [Google Scholar]
  • 91.Baugh CW, Sun BC, Syncope Risk Stratification Study Group Variation in diagnostic testing for older patients with syncope in the emergency department. Am J Emerg Med. 2019;37:810–816. doi: 10.1016/j.ajem.2018.07.043. [DOI] [PubMed] [Google Scholar]
  • 92.Bledsoe J, Liepert AE, Allen TL, Dong L, Hemingway J, Majercik S, et al. The salutary effect of an integrated system on the rate of repeat CT scanning in transferred trauma patients: Improved costs and efficiencies. Am J Surg. 2017;214:198–200. doi: 10.1016/j.amjsurg.2016.10.020. [DOI] [PubMed] [Google Scholar]
  • 93.Boutis K, Von Keyserlingk C, Willan A, Narayanan UG, Brison R, Grootendorst P, et al. Cost consequence analysis of implementing the low risk ankle rule in emergency departments. Ann Emerg Med. 2015;66:455–463.e4. doi: 10.1016/j.annemergmed.2015.05.027. [DOI] [PubMed] [Google Scholar]
  • 94.Cheung D, Puertolas-Lopez M, Scott G, Langshaw A, Diaz Y, Sosa MA, et al. Decreasing overutilization of echocardiograms and abdominal imaging in the evaluation of children with fungemia. J Clin Outcomes Manag. 2019;26:270–276. [Google Scholar]
  • 95.Cooper M, Newman NA, Ibrahim AM, Lam E, Herman JM, Singh VK, et al. Unnecessary tests and procedures in patients presenting with solid tumors of the pancreas. J Gastrointest Surg. 2013;17:1218–1223. doi: 10.1007/s11605-013-2213-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Cristofaro M, Busi Rizzi E, Schininà V, Chiappetta D, Angeletti C, Bibbolino C. Appropriateness: Analysis of outpatient radiology requests. Radiologia Medica. 2012;117:322–332. doi: 10.1007/s11547-011-0725-2. [DOI] [PubMed] [Google Scholar]
  • 97.De Roo B, Hoste P, Stichelbaut N, Annemans L, Bacher K, Verstraete K. Belgian multicentre study on lumbar spine imaging: Radiation dose and cost analysis; Evaluation of compliance with recommendations for efficient use of medical imaging. Eur J Radiol. 2020;125:108864. [DOI] [PubMed]
  • 98.Falchook AD, Salloum RG, Hendrix LH, Chen RC. Use of bone scan during initial prostate cancer workup, downstream procedures, and associated medicare costs. Int J Radiat Oncol Biol Phys. 2014;89:243–248. doi: 10.1016/j.ijrobp.2013.10.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Fields J, Alturkistani T, Kumar N, Kanuri A, Salem DN, Munn S, et al. Prevalence and cost of imaging in inpatient falls: The rising cost of falling. ClinicoEcon Outcomes Res. 2015;7:281–286. doi: 10.2147/CEOR.S80104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Frisse ME, Johnson KB, Nian H, Davison CL, Gadd CS, Unertl KM, et al. The financial impact of health information exchange on emergency department care. J Am Med Inform Assoc. 2012;19:328–333. doi: 10.1136/amiajnl-2011-000394. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Gupta S, Taylor N, Selvakumar D, Harnett PR, Wilcken N, Lee CI. Retrospective imaging audit and cost analysis of medical oncology inpatients admitted to Westmead Hospital. Internal Med J. 2014;44:1235–1239. doi: 10.1111/imj.12565. [DOI] [PubMed] [Google Scholar]
  • 102.Hill AD, Catapano JS, Surina JB, Lu M, Althausen PL. Clinical and Economic Impact of Duplicated Radiographic Studies in Trauma Patients Transferred to a Regional Trauma Center. J Orthop Trauma. 2015;29:e214–e218. doi: 10.1097/BOT.0000000000000279. [DOI] [PubMed] [Google Scholar]
  • 103.House SA, Hall M, Ralston SL, Marin JR, Coon ER, Schroeder AR, et al. Development and use of a calculator to measure pediatric low-value care delivered in US Children’s Hospitals. JAMA Network Open. 2021;4(12):e2135184. [DOI] [PMC free article] [PubMed]
  • 104.Johnson PC, Ammar H, Zohdy W, Fouda R, Govindu R. Yield of diagnostic tests and its impact on cost in adult patients with syncope presenting to a community hospital. Southern Med J. 2014;107:707–714. doi: 10.14423/SMJ.0000000000000184. [DOI] [PubMed] [Google Scholar]
  • 105.Jung HY, Vest JR, Unruh MA, Kern LM, Kaushal R. Use of health information exchange and repeat imaging costs. J Am Coll Radiol. 2015;12:1364–1370. doi: 10.1016/j.jacr.2015.09.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Kazemian E, Schaffer HM, Wozniak A, Leonetti JP. Economic impact of diagnostic imaging in the workup of uncomplicated Bell’s Palsy. J Neurol Surg Part B Skull Base. 2022;83(3):323–7. [DOI] [PMC free article] [PubMed]
  • 107.Keidar E, Singh J, Santiago-Rivera OJ, Wilkerson B, Babu S. Utility and value of pre-operative CT and MRI for cochlear implantation in the elderly. Am J Otolaryngol Head Neck Med Surg. 2021;42:102853. doi: 10.1016/j.amjoto.2020.102853. [DOI] [PubMed] [Google Scholar]
  • 108.Kim L, Min M, Roos D, Nguyen L, Yeoh E. Are staging investigations being overused in patients with low and intermediate risk prostate cancer? J Med Imaging Radiat Oncol. 2015;59:77–81. doi: 10.1111/1754-9485.12234. [DOI] [PubMed] [Google Scholar]
  • 109.Kushwaha AC, Shin K, Kalambo M, Legha R, Gerlach KE, Kapoor MM, et al. Overutilization of health care resources for breast pain. Am J Roentgenol. 2018;211:217–223. doi: 10.2214/AJR.17.18879. [DOI] [PubMed] [Google Scholar]
  • 110.Mafi JN, Russell K, Bortz BA, Dachary M, Hazel WA, Fendrick AM. Low-cost, high-volume health services contribute the most to unnecessary health spending. Health Aff. 2017;36:1701–1704. doi: 10.1377/hlthaff.2017.0385. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Massa I, Balzi W, Altini M, Berte R, Bosco M, Cassinelli D, et al. The challenge of sustainability in healthcare systems: frequency and cost of diagnostic procedures in end-of-life cancer patients. Supportive Care Cancer. 2018;26:2201–2208. doi: 10.1007/s00520-018-4067-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Massa I, Balzi W, Burattini C, Gentili N, Bucchi L, Nanni O, et al. The challenge of sustainability in healthcare systems: Frequency and cost of inappropriate patterns of breast cancer care (the E.Pic.A study) Breast. 2017;34:103–107. doi: 10.1016/j.breast.2017.05.007. [DOI] [PubMed] [Google Scholar]
  • 113.McAlister FA, Lin M, Bakal J, Dean S. Frequency of low-value care in Alberta, Canada: a retrospective cohort study. BMJ Qual Saf. 2018;27:340–346. doi: 10.1136/bmjqs-2017-006778. [DOI] [PubMed] [Google Scholar]
  • 114.McGowan SM, Ramski DE, Homcha B, Sokunbi G. Are CT scans overutilized in the workup of vertebral compression fractures? Clin Spine Surg. 2019;32:166–169. doi: 10.1097/BSD.0000000000000816. [DOI] [PubMed] [Google Scholar]
  • 115.Morgan T, Wu J, Ovchinikova L, Lindner R, Blogg S, Moorin R. A national intervention to reduce imaging for low back pain by general practitioners: a retrospective economic program evaluation using Medicare Benefits Schedule data. BMC Health Serv Res. 2019;19(1):983. [DOI] [PMC free article] [PubMed]
  • 116.Mortimer D, French SD, McKenzie JE, O’Connor DA, Green SE. Economic evaluation of active implementation versus guideline dissemination for evidence-based care of acute low-back pain in a general practice setting. PLoS ONE. 2013;8:e75647. doi: 10.1371/journal.pone.0075647. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Nayeri A, Prablek MA, Brinson PR, Weaver KD, Thompson RC, Chambless LB. Short-term postoperative surveillance imaging may be unnecessary in elderly patients with resected WHO Grade i meningiomas. J Clin Neurosci. 2016;26:101–104. doi: 10.1016/j.jocn.2015.11.002. [DOI] [PubMed] [Google Scholar]
  • 118.Pellet AC, Erten MZ, James TA. Value analysis of postoperative staging imaging for asymptomatic, early-stage breast cancer: Implications of clinical variation on utility and cost. Am J Surg. 2016;211:1084–1088. doi: 10.1016/j.amjsurg.2015.08.022. [DOI] [PubMed] [Google Scholar]
  • 119.Pistolese CA, Ciarrapico AM, della Gatta F, Simonetti G. Inappropriateness of breast imaging: cost analysis. Radiol Med (Torino) 2013;118:984–994. doi: 10.1007/s11547-013-0948-5. [DOI] [PubMed] [Google Scholar]
  • 120.Prasad SM, Gu X, Lipsitz SR, Nguyen PL, Hu JC. Inappropriate utilization of radiographic imaging in men with newly diagnosed prostate cancer in the United States. Cancer. 2012;118:1260–1267. doi: 10.1002/cncr.26416. [DOI] [PubMed] [Google Scholar]
  • 121.Redd C, Thomas C, Willis M, Amos M, Anderson J. Cost of Unnecessary Testing in the Evaluation of Pediatric Syncope. Pediatr Cardiol. 2017;38:1115–1122. doi: 10.1007/s00246-017-1625-6. [DOI] [PubMed] [Google Scholar]
  • 122.Shah AA, Petrosyan M, Nizam W, Roberson J, Guzzetta P. Resource overutilization in the diagnosis of lymphedema praecox. J Pediatric Surg. 2020;55:1363–1365. doi: 10.1016/j.jpedsurg.2019.09.014. [DOI] [PubMed] [Google Scholar]
  • 123.Thavorn K, Wang Z, Fergusson D, van Katwyk S, Arnaout A, Clemons M. Cost implications of unwarranted imaging for distant metastasis in women with early-stage breast cancer in Ontario. Curr Oncol. 2016;23:S52–S55. doi: 10.3747/co.23.2977. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Trofimova AV, Kishore D, Urquia L, Tewkesbury G, Duszak R, Levy MD, et al. Imaging Utilization in Children With Headaches: Current Status and Opportunities for Improvement. Journal of the American College of Radiology. 2020/05/07 ed. 2020;17:574–83. [DOI] [PubMed]
  • 125.Vilar-Palop J, Hern, ez-Aguado I, Pastor-Valero M, Vilar J, González-Alvarez I, et al. Appropriate use of medical imaging in two Spanish public hospitals: a cross-sectional analysis. BMJ Open. 2018;8(3):e019535. [DOI] [PMC free article] [PubMed]
  • 126.Wilson RJ, Zumsteg JW, Hartley KA, Long JH, Mesko NW, Halpern JL, et al. Overutilization and cost of advanced imaging for long-bone cartilaginous lesions. Ann Surg Oncol. 2015;22:3466–3473. doi: 10.1245/s10434-014-4325-y. [DOI] [PubMed] [Google Scholar]
  • 127.Winn AN, Kelly M, Ciprut S, Walter D, Gold HT, Zeliadt SB, et al. The cost, survival, and quality-of-life implications of guideline-discordant imaging for prostate cancer. Cancer Rep (Hoboken, NJ). 2022;5:e1468. doi: 10.1002/cnr2.1468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Wintermark M, Rosenkrantz AB, Rezaii PG, Fredericks N, Cerdas LC, Burleson J, et al. Predicted Cost savings achieved by the radiology support, communication and alignment network from reducing medical imaging overutilization in the medicare population. J Am Coll Radiol. 2021;18:704–712. doi: 10.1016/j.jacr.2020.12.011. [DOI] [PubMed] [Google Scholar]
  • 129.Curtis LH, Greiner MA, Patel MR, Duncan PW, Schulman KA, Matchar DB. Geographic variation and trends in carotid imaging among Medicare beneficiaries, 2001 to 2006. Circu Cardiovasc Qual Outcomes. 2010;3:599–606. doi: 10.1161/CIRCOUTCOMES.110.950279. [DOI] [PubMed] [Google Scholar]
  • 130.Fonseca R, Otahal P, Wiggins N, Marwick TH. Growth and geographical variation in the use of cardiac imaging in Australia. Intern Med J. 2015;45:1115–1127. doi: 10.1111/imj.12867. [DOI] [PubMed] [Google Scholar]
  • 131.Franc BL, Copeland TP, Thombley R, Park M, Marafino B, Dean ML, et al. Geographic variation in postoperative imaging for low-risk breast cancer. J Natl Compr Canc Netw. 2018;16:829–837. doi: 10.6004/jnccn.2018.7024. [DOI] [PubMed] [Google Scholar]
  • 132.Gransjøen AM, Lysdahl KB, Hofmann BM. Geographical variations in the use of diagnostic imaging of musculoskeletal diseases in Norway. Acta Radiol. 2019;60:1153–1158. doi: 10.1177/0284185118812204. [DOI] [PubMed] [Google Scholar]
  • 133.Kabongo JM, Nel S, Pitcher RD. Analysis of licensed South African diagnostic imaging equipment. Pan Afr Med J. 2015;22(57):57. [DOI] [PMC free article] [PubMed]
  • 134.McWilliams JM, Dalton JB, Landrum MB, Frakt AB, Pizer SD, Keating NL. Geographic variation in cancer-related imaging: Veterans Affairs health care system versus Medicare. Ann Intern Med. 2014;161:794–802. doi: 10.7326/M14-0650. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Ganguli I, Ying W, Shakley T, Colbert JA, Mulligan KL, Friedberg MW. Cascade services and spending following low-value imaging for uncomplicated low back pain among commercially insured adults. J Gen Intern Med. 2023;38:1102–1105. doi: 10.1007/s11606-022-07829-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.McAlister S, McGain F, Breth-Petersen M, Story D, Charlesworth K, Ison G, et al. The carbon footprint of hospital diagnostic imaging in Australia. Lancet Reg Health—Western Pac [Internet]. 2022 [cited 2024 Jan 23];24. Available from: https://www.thelancet.com/journals/lanwpc/article/PIIS2666-6065(22)00074-8/fulltext. [DOI] [PMC free article] [PubMed]
  • 137.Kjelle E, Andersen ER, Soril LJJ, Van Bodegom-Vos L, Hofmann BM. Interventions to reduce low-value imaging—a systematic review of interventions and outcomes. BMC Health Serv Res. 2021;21:983. doi: 10.1186/s12913-021-07004-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Landon SN, Padikkala J, Horwitz LI. Identifying drivers of health care value: a scoping review of the literature. BMC Health Serv Res. 2022;22:845. doi: 10.1186/s12913-022-08225-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Hofmann B. Is there a technological imperative in health care? Int J Technol Assess Health Care. 2002;18:675–689. doi: 10.1017/S0266462302000491. [DOI] [PubMed] [Google Scholar]
  • 140.Hofmann B. Biases and imperatives in handling medical technology. Health Policy Technol. 2019;8:377–385. doi: 10.1016/j.hlpt.2019.10.005. [DOI] [Google Scholar]
  • 141.Pronovost PJ, Urwin JW, Beck E, Coran JJ, Sundaramoorthy A, Schario ME, et al. Making a dent in the trillion-dollar problem: toward zero defects. NEJM Catalyst [Internet] 2021 doi: 10.1056/CAT.19.1064. [DOI] [Google Scholar]
  • 142.Pandya A. Adding cost-effectiveness to define low-value care. JAMA. 2018;319:1977–1978. doi: 10.1001/jama.2018.2856. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials


Articles from Applied Health Economics and Health Policy are provided here courtesy of Springer

RESOURCES