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Image-guided biopsy is an integral step in the diagnosis and management of suspicious image-detected breast or axillary lesions, allowing for accurate diagnosis and, if indicated, treatment planning. Tissue sampling can be performed under guidance of a full spectrum of breast imaging modalities, including stereotactic, tomosynthesis, sonographic, and MRI, each with its own set of advantages and limitations. Procedural planning, which includes consideration of technical, patient, and lesion factors, is vital for diagnostic accuracy and limitation of complications. The purpose of this paper is to review and provide guidance for breast imaging radiologists in selecting the best procedural approach for the individual patient to ensure accurate diagnosis and optimal patient outcomes. Common patient and lesion factors that may affect successful sampling and contribute to postbiopsy complications are reviewed and include obesity, limited patient mobility, patient motion, patients prone to vasovagal reactions, history of anticoagulation, and lesion location, such as proximity to vital structures or breast implant.

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BACKGROUND: Promoting safe patient mobility for providers and patients is a safety priority in the hospital setting. Safe patient handling equipment aids safe mobility but can also deter active movement by the patient if used inappropriately. Nurses need guidance to choose equipment that ensures their safety and that of the patients while promoting active mobility and preventing workplace-related injury. METHODS: Using a modified Delphi approach with a diverse group of experts, we created the Johns Hopkins Safe Patient Handling Mobility (JH-SPHM) Guide. This diverse group of 10 experts consisted of nurses, nurse leaders, physical and occupational therapists, safe patient handling committee representatives, and a fall prevention committee leader. The application of the tool was then tested in the hospital environment by two physical therapists. FINDINGS: Consensus was reached for safe patient handling (SPH) equipment recommendations at each level of the Johns Hopkins Mobility Goal Calculator (JH-Mobility Goal Calculator). Expert SPH equipment recommendations were then added to JH-Mobility Goal Calculator levels to create the JH-Safe Patient Handling Mobility Guide. JH-Safe Patient Handling Mobility Guide equipment suggestions were compared with equipment recommendations from physical therapists revealing strong agreement (n = 125, 88%). CONCLUSION: The newly created JH-Safe Patient Handling Mobility Guide provides appropriate safe patient-handling equipment recommendations to help accomplish patients' daily mobility goals. APPLICATIONS TO PRACTICE: The Johns Hopkins Safe Patient Handling Mobility Guide simultaneously facilitates patient mobility and optimizes safety for nursing staff through recommendations for safe patient-handling equipment for use with hospitalized patients.

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BACKGROUND: The incongruity between the regional supply and demand of healthcare services is a persistent challenge both globally and in China. Patient mobility plays a pivotal role in addressing this issue. This study aims to delineate the cross-provincial inpatient mobility network (CIMN) in China and identify the underlying factors influencing this CIMN. METHODS: We established China's CIMN by applying a spatial transfer matrix, utilizing the flow information from 5,994,624 cross-provincial inpatients in 2019, and identified the primary demand and supply provinces for healthcare services. Subsequently, we employed GeoDetector to analyze the impact of 10 influencing factors-including medical resources, medical quality, and medical expenses-on the spatial patterns of CIMN. FINDINGS: Beijing, Shanghai, Zhejiang, and Jiangsu provinces are the preferred medical destinations for cross-provincial inpatients, while Anhui, Henan, Hebei, and Jiangsu provinces are the main sources for cross-provincial inpatients. Patient flow between provinces decreases with distance. The spatial distribution of medical resources, medical quality, and medical expenses account for 87%, 73%, and 56% of the formation of CIMN, respectively. Additionally, interactions between these factors enhance explanatory power, suggesting that considering their interactions can more effectively optimize medical resources and services. CONCLUSIONS: The analysis of CIMN reveals the supply and demand patterns of healthcare services, providing insights into the inequality characteristics of healthcare access. Furthermore, understanding the driving factors and their interactions offers essential evidence for optimizing healthcare services.

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AIMS: Our study aimed to (1) validate the accuracy of nursing mobility documentation and (2) identify the most effective timings for behavioural mapping. DESIGN: We monitored the mobility of 55 inpatients using behavioural mapping throughout a nursing day shift, comparing the observed mobility levels with the nursing charting in the electronic health record during the same period. RESULTS: Our results showed a high level of agreement between nursing records and observed mobility, with improved accuracy observed particularly when documentation was at 12 PM or later. Behavioural mapping observations revealed that the most effective timeframe to observe the highest levels of patient mobility was between 10 AM AND 2 PM. CONCLUSION: To truly understand patient mobility, comparing nursing charting with methods like behavioural mapping is beneficial. This comparison helps evaluate how well nursing records reflect actual patient mobility and offers insights into the best times for charting to capture peak mobility. While behavioural mapping is a valuable tool for auditing patient mobility, its high resource demands limit its regular use. Thus, determining the most effective times and durations for observations is key for practical implementation in hospital mobility audits. IMPLICATION FOR THE PROFESSION AND/OR PATIENT CARE: Nurses are pivotal in ensuring patient mobility in hospitals, an essential element of quality care. Their role involves safely mobilizing patients and accurately charting their mobility levels during each shift. For nursing practice, this research underscores that nurse charting can accurately reflect patient mobility, and highlights that recording the patient's highest level of mobility later in the shift offers a more precise representation of their actual mobility. REPORTING METHOD: Strobe. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution.

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Increased disparities in income and health care expenditure across EU countries may lead to an increase in patient mobility, which may, in turn, call for more action by the EU and its Member States. At present, patient mobility (or cross-border healthcare) is still a marginal phenomenon but is deemed to increase in the future. In this paper we examine border region patient mobility, defined as patients receiving care in a neighbouring country within a certain proximity. We examine, with the use of a spatial competition model, the options used to regulate such a patient flow and their welfare implications, both for patients and Governments. We show that marginal price costing would lead to an increase in patient welfare, whilst reducing the risk of increasing cost for the exporting country. At present there seems to be an East/West difference in the way these flows are regulated. In order to increase equity, we suggest that a 'joint implementation' of EU Directives by neighbouring Member States, especially in the field of cross-border healthcare, would allow Member States to define target populations (in terms of type of care and distance travelled) that could allow more freedom in terms of border care, without increasing health care expenditure. A future combination of the two existing legal frameworks in this field would also be more user- or patient-friendly.

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BACKGROUND: Venous thromboembolism risk increases in hospitals due to reduced patient mobility. However, initial mobility evaluations for thromboembolism risk are often subjective and lack standardization, potentially leading to inaccurate risk assessments and insufficient prevention. METHODS: A retrospective study at a quaternary academic hospital analyzed patients using the Padua risk tool, which includes a mobility question, and the Johns Hopkins-Highest Level of Mobility (JH-HLM) scores to objectively measure mobility. Reduced mobility was defined as JH-HLM scores ≤3 over ≥3 consecutive days. The study evaluated the association between reduced mobility and hospital-acquired venous thromboembolism using multivariable logistic regression, comparing admitting health care professional assessments with JH-HLM scores. Symptomatic, hospital-acquired thromboembolisms were diagnosed radiographically by treating providers. RESULTS: Of 1715 patients, 33 (1.9%) developed venous thromboembolism. Reduced mobility, as determined by the JH-HLM scores, showed a significant association with thromboembolic events (adjusted OR: 2.53, 95%CI:1.23-5.22, P = .012). In contrast, the initial Padua assessment of expected reduced mobility at admission did not. The JH-HLM identified 19.1% of patients as having reduced mobility versus 6.5% by admitting health care professionals, suggesting 37 high-risk patients were misclassified as low risk and were not prescribed thrombosis prophylaxis; 4 patients developed thromboembolic events. JH-HLM detected reduced mobility in 36% of thromboembolic cases, compared to 9% by admitting health care professionals. CONCLUSION: Initial mobility evaluations by admitting health care professionals during venous thromboembolism risk assessment may not reflect patient mobility over their hospital stay. This highlights the need for objective measures like JH-HLM in risk assessments to improve accuracy and potentially reduce thromboembolism incidents.

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Introduction: Cerebrovascular diseases in Sicily have led to high mortality and healthcare challenges, with a notable gap between healthcare demand and supply. The mobility of patients seeking care, both within and outside Sicily, has economic and organizational impacts on the healthcare system. The Hub and Spoke model implemented by the IRCCS Centro Neurolesi "Bonino-Pulejo" of Messina aims to distribute advanced neurorehabilitation services throughout Sicily, potentially reducing health mobility and improving service accessibility. Methods: The evaluation was based on calculating hospitalization rates, examining patient mobility across Sicilian provinces, and assessing the financial implications of neurorehabilitation admissions. Data from 2016 to 2018, covering the period before and after the implementation of the Hub and Spoke network, were analyzed to understand the changes brought about by this model. Results: The analysis revealed a significant increase in hospitalization rates for neurorehabilitation in the Sicilian provinces where spokes were established. This increase coincided with a marked decrease in interregional health mobility, indicating that patients were able to receive high-quality care closer to their residences. Furthermore, there was a decrease in both intra-regional and inter-regional escape rates in provinces within the Hub and Spoke network, demonstrating the network's efficacy in improving accessibility and quality of healthcare services. Discussion: The implementation of the Hub and Spoke network substantially improved neurorehabilitation healthcare in Sicily, enhancing both accessibility and quality of care for patients. The network's establishment led to a more efficient utilization of healthcare resources and balanced distribution of services. These advancements are vital steps toward equitable and effective healthcare delivery in Sicily.

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Inter-regional patient mobility represents both a resource and a challenge for the organization and financing of health systems, particularly in decentralised countries. We use cross-sectional time series regression analysis to test the determinants of imbalances in regional funds to finance inter-regional patient mobility for the 17 Spanish regions for the period 2014-2020. The findings indicate that highly specialised health centres and bilateral agreements partly explain the budget imbalance from inter-regional patient referrals, while local tourism partly explains the budget imbalance from non-referred patient mobility. Developing effective national schemes to compensate net patient recipient regions would be fundamental to addressing territorial imbalances.

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OBJECTIVE: This study aims to characterize the current status of the nephrology workforce in China and evaluate its optimal capacity based on real-world patient mobility data. METHODS: Data on nephrologists in China were collected from two prominent online healthcare platforms using web crawlers and natural language processing techniques. Hospitalization records of patients with chronic kidney disease (CKD) from January 2014 to December 2018 were extracted from a national administrative database in China. City-level paths of patient mobility were identified. Effects of nephrology workforce on patient mobility were analyzed using multivariate Poisson regression models. RESULTS: Altogether 9.13 nephrologists per million population (pmp) were in practice, with substantial city-level variations ranging from 0.16 to 88.79. The ratio of nephrologists to the estimated CKD population was 84.57 pmp. Among 6 415 559 hospitalizations of patients with CKD, 21.3% were cross-city hospitalizations and 7441 city-level paths of patient mobility with more than five hospitalizations were identified. After making adjustment for healthcare capacity, healthcare insurance, economic status, and travel characteristics, the Poisson regression models revealed that the number of nephrologists in both the source city (incidence rate ratio [IRR] 0.99, per 1 pmp increase) and destination city (IRR 1.07, per 1 pmp increase) were independently associated with patient mobility. An IRR plateau was observed when the number of nephrologists exceeded 12 pmp in the source city, while a rapidly increasing IRR was observed beyond 20 pmp in the destination city. CONCLUSIONS: The nephrology workforce in China exhibits significant geographic variations. Based on local healthcare needs, an optimal range of 12-20 nephrologists pmp is suggested.

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Background: Waiting times for cancer treatments continue to increase in many countries. In this study we estimated potential 'spare surgical capacity' in the English NHS and identified regions more likely to have spare capacity based on patterns of patient mobility (the extent to which patients receive surgery at hospitals other than their nearest). Methods: We identified patients who had an elective breast or colorectal cancer surgical resection between January 2016 and December 2018. We estimated each hospital's 'maximum surgical capacity' as the maximum 6-month moving average of its surgical volume. 'Spare surgical capacity' was estimated as the difference between maximum surgical capacity and observed surgical volume. We assessed the association between spare surgical capacity and whether a hospital performed more or fewer procedures than expected due to patient mobility as well as the association between spare surgical capacity and whether or not waiting times targets for treatment were likely to be met. Findings: 100,585 and 49,445 patients underwent breast and colorectal cancer surgery respectively. 67 of 166 hospitals (40.4%) providing breast cancer surgery and 82 of 163 hospitals (50.3%) providing colorectal cancer surgery used less than 80% of their maximum surgical capacity. Hospitals with a 'net loss' of patients to hospitals further away had more potential spare capacity than hospitals with a 'net gain' of patients (p < 0.001 for breast and p = 0.01 for colorectal cancer). At the national level, we projected an annual potential spare capacity of 8389 breast cancer and 4262 colorectal cancer surgical procedures, approximately 25% of the volumes actually performed. Interpretation: Spare surgical capacity potentially exists in the present configuration of hospitals providing cancer surgery and requires regional allocation for efficient utilisation. Funding: National Institute for Health Research.

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Patient mobility is considered one of the main concerns for policy-makers as it impacts financial sustainability of regional health systems due to the high percentage of patients accessing care services in other regions. For a better understanding of this phenomenon, it is necessary to define a behavioral model able to represent the patient-system interaction. In this paper we adopted the Agent-Based Modelling (ABM) approach with the aim of simulating patient flow across regions and determining which are the main factors influencing it. This may provide a new insight for policy makers to capture which are the main factors influencing mobility and actions that may contribute to contain this phenomenon.

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BACKGROUND: In Japan, provision of equal access to cancer care is intended to be achieved via secondary medical areas (SMAs). However, the percentage of patients receiving care within the residential area varies by SMA in Osaka Prefecture. We aimed to assess the effect size of factors associated with patient mobility, and whether patient mobility was affected by the COVID-19 pandemic. METHODS: Records of patients diagnosed with stomach, colorectal, lung, breast, cervical, oesophageal, liver or pancreatic cancer during 2019-2020 were extracted from multi-centre hospital-based cancer registry data. Odds ratios of whether a patient received care within the SMA of residence were set as the outcome. A multivariable model was built using generalised estimating equations with multiple imputation for missing data. Change in patient mobility after the pandemic was examined by deriving age- and SMA-specific adjusted ORs (aORs). RESULTS: A total of 78,839 records were included. Older age, more advanced stage and palliative care had up to 1.69 times higher aORs of receiving care within their own area. Patients with oesophageal, liver or pancreatic cancer tended to travel outside their area with aORs ranging from 0.71 to 0.90. Patients aged ≤ 79 and living in the East and South SMAs tended to remain in their area with aORs ranging from 1.05 to 1.11 after the pandemic. CONCLUSION: Patient mobility decreased for higher age and stage. It also varied by SMA, cancer site and treatment type. POLICY SUMMARY: Our results need to be linked with resource inputs to help policymakers decide whether to intervene to address current efficiency or equity issues.

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OBJECTIVE: The Italian healthcare jurisdiction promotes patient mobility, which is a major determinant of practice variation, thus being related to the equity of access to health services. We aimed to explore how travel times, waiting times, and other efficiency- and quality-related hospital attributes influenced the hospital choice of women needing pelvic organ prolapse (POP) surgery in Tuscany, Italy. METHODS: We obtained the study population from Hospital Discharge Records. We duplicated individual observations (n = 2533) for the number of Tuscan hospitals that provided more than 30 POP interventions from 2017 to 2019 (n = 22) and merged them with the hospitals' list. We generated the dichotomous variable "hospital choice" assuming the value one when hospitals where patients underwent surgery coincided with one of the 22 hospitals. We performed mixed logit models to explore between-hospital patient choice, gradually adding the women's features as interactions. RESULTS: Patient choice was influenced by travel more than waiting times. A general preference for hospitals delivering higher volumes of interventions emerged. Interaction analyses showed that poorly educated women were less likely to choose distant hospitals and hospitals providing greater volumes of interventions compared to their counterpart. Women with multiple comorbidities more frequently chose hospitals with shorter average length of stay. CONCLUSION: Travel times were the main determinants of hospital choice. Other quality- and efficiency-related hospital attributes influenced hospital choice as well. However, the effect depended on the socioeconomic and clinical background of women. Managers and policymakers should consider these findings to understand how women behave in choosing providers and thus mitigate equity gaps.

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BACKGROUND: The absence of a referral system and patients' freedom to choose among service providers in Iran have led to increased patient mobility, which continues to concern health policymakers in the country. This study aimed to determine factors associated with patient mobility rates within the provinces of Iran. METHODS: This cross-sectional study was conducted in Iran. Data on the place of residence of patients admitted to Iranian public hospitals were collected during August 2017 to determine the status of patient mobility within each province. The sample size were 537,786 patients were hospitalized in public hospitals in Iran during August 2017. The patient mobility ratio was calculated for each of Iran's provinces by producing a patient mobility matrix. Then, a model of factors affecting patient mobility was identified by regression analysis. All the analyses were performed using STATA14 software. RESULTS: In the study period, 585,681 patients were admitted to public hospitals in Iran, of which 69,692 patients were referred to the hospital from another city and 51,789 of them were admitted to public hospitals in the capital of the province. The highest levels of intra-provincial patient mobility were attributed to southern and eastern provinces, and the lowest levels were observed in the north and west of Iran. Implementation of negative binomial regression indicated that, among the examined parameters, the distribution of specialist physicians and the human development index had the highest impact on intra-provincial patient mobility. CONCLUSION: The distribution of specialists throughout different country areas plays a determining role in patient mobility. In many cases, redistributing hospital beds is impossible, but adopting different human resource policies could prevent unnecessary patient mobility through equitable redistribution of specialists among different cities.

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OBJECTIVES: The Veterans Administration (VA) Mobility Screening and Solutions Tool (VA MSST) was developed to screen a patient's safe mobility level 'in the moment' and provide clinical decision support related to the use of safe patient handling and mobility (SPHM) equipment. This evidence-based flowchart tool is a common language tool that enables any healthcare worker at any time to accurately measure and communicate patient mobility and transfer equipment needs across disciplines and settings. METHODS: The VA MSST has four levels and differentiates between the need for powered and non-powered equipment depending on the patient's independence. Subject matter experts wrote scenarios for interrater reliability and validity testing. The initial VA MSST draft iteration was reviewed by 163 VA staff (mostly physical therapists and occupational therapists) amongst simulation scenarios and provided content validity, and additional insight and suggestions. Revisions were made to create the final VA MSST which was evaluated by over 200 healthcare workers from varied disciplines (including medical doctors, advanced practice registered nurses, registered nurses, licensed practical nurses, certified nursing assistants, occupational therapists, physical therapists, speech therapists, radiology and ultrasound technicians, etc.). An instruction video and eighteen scenario videos were embedded in an online survey. The survey intended to demonstrate the interrater reliability and validity (concurrent and construct) of the VA MSST. Over 500 VA staff (raters) received a survey invitation via email. RESULTS: Raters (N = 230) from multiple disciplines and healthcare settings independently screened patient mobility status for each of 18 scenarios using the VA MSST. The raters were diverse in their age and years of experience. The estimated interrater reliability (IRR) for VA MSST was excellent and statistically significant with an estimated Krippendorff's alpha (ICC (C, k)) of 0.998 [95% CI: 0.996-0.999]. Eighty-two percent of raters reported that overall VA MSST instructions were clear or very clear and understandable. VA MSST ratings made by technicians and nursing assistants group correlated strongly (r = 0.99, p < 0.001) with the 'gold standard' (experienced physical therapists), suggesting a high concurrent validity of the tool. The VA MSST significantly discriminated between the different levels of patient mobility required for safe mobilization as intended (each difference, p < 0.0001); this suggests a good construct validity. CONCLUSIONS: The VA MSST is an evidence-based flowchart screening and decision support tool that demonstrates excellent interrater reliability across disciplines and settings. VA MSST has strong face and content validity, as well as good concurrent and construct validity.

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BACKGROUND: Following the introduction of administrative federalism in the Italian National Health Service, inter-regional patients' mobility has become increasingly relevant because, in addition to being an indirect index of the quality of care, it has important economic and financial implications. This study aimed to evaluate the fulfillment of the need for hospital orthopedic intensive rehabilitation on site and care-seeking patients' migration to other regions. METHODS: From 2011 to 2019, the data of intensive orthopedic rehabilitation extracts from the Hospital Discharge Cards provided by Italian Ministry of Health were analyzed. We studied the hospital networks of every Italian region (catchment areas). The epidemiological flows of inter-regional mobility were analyzed with Gandy's Nomogram, while the financial flows were analyzed through Attraction Absorption and Escape Production Indexes. RESULTS: Gandy's Nomogram showed that only Piedmont, Lombardy, A.P. of Trento, E. Romagna, Umbria and Abruzzo had good public hospital planning for intensive orthopedic rehabilitation, with a positive balance for all studied periods. Lombardy, E. Romagna, Piedmont, Veneto and Latium have absorbed approximately 70% of all financial flows (about EUR 60.5 million). CONCLUSIONS: Only six regions appear to be able to satisfy the care needs of their residents, with a positive epidemiological and financial balance for all studied periods.

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BACKGROUND: Large variations in the quality of psoriasis care lead to patients being willing to bypass the nearest physician to receive higher quality of care. However, it remains unknown whether actual travel time is associated with quality of care. This study aimed to identify perceived quality of care determinants for travel time to the physician among patients with psoriasis in Germany. Furthermore, differences in access and perceived quality of care between urban and rural areas in Germany were analyzed. METHODS: This cross-sectional observational study based on patient-level healthcare data. Perceived quality of care and treatment satisfaction were assessed from the patients' perspective. Travel time was estimated by the patients. Multiple regression analysis with the predictors patient characteristics, system-related variables, urbanity, and patient satisfaction with treatment, was applied to identify determinants of travel time with subgroup analyses for rural and urban areas. RESULTS: We included 497 patients from 29 dermatological practices in Germany. There were significant differences in psoriasis care between urban and rural areas. Longer travel time was associated with lower age, higher income, higher number of consulted dermatologists since diagnosis, rural residence, more waiting time for the first appointment, lower dermatologist density, and higher patient reported treatment satisfaction. DISCUSSION: The results indicate an association between actual travel time and treatment satisfaction. Patients with higher perceived quality of care travel longer for their dermatological treatment. The results are also relevant to needs related planning.

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After a series of ECJ rulings, Directive 2011/24/EU was finally adopted to regulate access and reimbursement of planned health care in another member state. Several studies have analysed the Directive's implementation and impact on national health care systems around the time of the transposition. The case of Austria is particularly interesting. Along with Portugal, Poland, and Romania, Austria voted against the Directive, even though major elements were already in line with national legislation. This paper investigates the implementation of the patients' rights Directive in Austria through the lens of public key stakeholders. The analysis goes beyond the legal implementation and traces the policy process from the Directive's adoption at EU level to the time after its national transposition. Based on a rigorous policy document analysis, the study discusses the reasons of Austria's initial denial of the Directive and addresses the perceived tensions in its application, both from a patient and health systems' perspective. Results include the stakeholders' critical opinion towards the Directive's ability to provide legal clarity and show that its practical application remains restrictive even years after transposition. By providing evidence from Austria and discussing the findings in the context of other country examples, this paper offers new insights into the role of EU health policy-making and the practical controversies concerning its implementation on national level.

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Decentralized, tax-funded health systems like Italian and Spanish ones reveal relevant internal patient flows, raising concerns in terms of equity, budget imbalances, and unexploited economies of scale at the regional and organizational level. However, policymakers lack effective tools to rapidly identify the causes of patient outflows in Beveridgean healthcare systems. We address the gap by conducting a critical review of the drivers of patient mobility. Elaborating on existing knowledge, we propose a concise, versatile assessment matrix to help policymakers in understanding the most relevant causes of mobility. Specifically, we identify three main categories of drivers: insufficient service availability, poor (perceived) quality, and regulatory issues. We include appropriate indicators to identify each driver, or mix of drivers. For each of them, we also propose specific policy and organizational responses. The applicability of the model is proven by an empirical test using the Italian national hospital discharge database for all inter-regional inpatient mobility flows. In addition to adding to previous contributions on mobility drivers by creating a model that informs policymakers' understanding and actions, the paper provides an innovative approach to patient mobility by proposing a model that, for the first time, primarily focuses on the clinical discipline of the flows.

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PURPOSE: The purpose of this paper is twofold: First, it analyzes demand and supply-side factors that influence patient flows to and from Austria. Second, building on the empirical research and existing conceptualizations, the study offers a general extended framework to guide future comparative analysis. DESIGN/METHODOLOGY/APPROACH: The paper draws on multiple data sources including a literature review, secondary data, website analysis and semi-structured interviews with patients and health providers. Content analysis was carried out to identify common motives for seeking care abroad and providers' orientation towards medical travel. FINDINGS: Outbound medical travel is largely determined by factors of access, affordability and vicinity, while inbound medical travel is predominately driven by a lack of adequate medical infrastructure in source countries and quality, both in terms of medical and service quality. Providers distinguish themselves according to the extent they take part in medical travel. RESEARCH LIMITATIONS/IMPLICATIONS: The findings emerging from a single country case study approach cannot be generalized across settings and contexts, albeit contributing to a better understanding of current medical travel patterns in Europe. ORIGINALITY/VALUE: Unlike most recent contributions, this study focuses both on inbound and outbound medical travel in Austria and investigates patient flows for distinctive treatments and drivers. While analysis of the supply-side of medical travel is often limited to tourism studies, this study provides a critical insight into developments in Europe from a health policy perspective, acknowledging that diverse medical travel patterns in Europe coexist.