Statistical considerations when estimating time-saving treatment effects in Alzheimer's disease clinical trials.

INTRODUCTION: Estimating treatment effects as time savings in disease progression may be more easily interpretable than assessing the absolute difference or a percentage reduction. In this study, we investigate the statistical considerations of the existing method for estimating time savings and propose alternative complementary methods. METHODS: We propose five alternative methods to estimate the time savings from different perspectives. These methods are applied to simulated clinical trial data that mimic or modify the Clinical Dementia Rating Sum of Boxes progression trajectories observed in the Clarity AD lecanemab trial. RESULTS: Our study demonstrates that the proposed methods can generate more precise estimates by considering two crucial factors: (1) the absolute difference between treatment arms, and (2) the observed progression rate in the treatment arm. DISCUSSION: Quantifying treatment effects as time savings in disease progression offers distinct advantages. To provide comprehensive estimations, it is important to use various methods. HIGHLIGHTS: We explore the statistical considerations of the current method for estimating time savings. We proposed alternative methods that provide time savings estimations based on the observed absolute differences. By using various methods, a more comprehensive estimation of time savings can be achieved.

Time Savings and Safety of EMS Administration of Antibiotics for Open Fractures.

INTRODUCTION: Early administration of antibiotics for open fractures reduces serious bone and soft tissue infections. The effectiveness of antibiotics in reducing these infections is time-dependent, with various surgical associations recommending administration within one hour of injury, or within one hour of patient arrival to the emergency department (ED). The extent to which prehospital antibiotic administration in these situations might reduce the time to treatment has not been previously reported. The purpose of this study was to describe current prehospital use of antibiotics for traumatic injury, to assess the safety of prehospital antibiotic administration, and to estimate the potential time-savings associated with antibiotic administration by EMS clinicians. METHODS: This was a retrospective analysis of the 2019 through 2022 ESO Data Collaborative research data set. Included subjects were patients that had a linked ICD-10 code indicating an open extremity fracture and who received prehospital antibiotics. Time to antibiotic administration was calculated as the elapsed time from EMS dispatch until antibiotic administration. The minimum potential time saved by EMS antibiotic administration was calculated as the elapsed time from administration until ED arrival. To assess safety, epinephrine and diphenhydramine administration were used as proxies for the adverse events of anaphylaxis and minor allergic reactions. RESULTS: There were 523 patients meeting the inclusion criteria. The median (and interquartile range [IQR]) elapsed time from EMS dispatch until antibiotic administration was 31 (IQR: 24-41) minutes. The median potential time savings associated with prehospital antibiotic administration was 15 (IQR: 8-22) minutes. Notably, 144 (27.5%) of the patients who received prehospital antibiotics had total prehospital times exceeding one hour. None of the patients who received antibiotics also received epinephrine for presumed anaphylaxis. CONCLUSIONS: EMS clinicians were able to safely administer antibiotics to patients with open fractures a median of 15 minutes before arrival at the hospital, and 99 percent of the patients receiving antibiotics had them administered within one hour of EMS dispatch. EMS administration of antibiotics may be a safe way to increase compliance with recommendations for early antibiotic administration for open fractures.

Determinants of the personal savings rate in the Kingdom of Saudi Arabia using time savings deposits, 2012-2022.

Personal saving is an important indicator of future economic prosperity. Despite the growth in gross domestic product per capita (GDPPC) from 2012 to 2022 in the Kingdom of Saudi Arabia (KSA), the personal savings rate remains low. Only a few studies have explored savings in KSA, but no study that used time savings deposits (TSD) to measure personal savings exists. Thus, this study aims to investigate the determinants of personal savings employing TSD. Using data from the Saudi Central Bank from 2012 to 2022, this study empirically examines the determinants of TSD. The autoregressive distributed lag cointegration technique determines the long-run relationship between the study's variables. The study finds that GDPPC, deposit interest rates (DIR), consumer loans (CLs), and real estate loans (RELs) significantly impact personal savings. Only GDPPC and RELs have a significant negative impact on personal savings. The study is among the few to examine savings in KSA but, unlike other studies, used TSD as a measure of personal savings. In conclusion, several implications and recommendations for policymakers and financial institutions were presented.

Enhancing the Efficiency of the Individual Case Safety Report (ICSR) Quality and Compliance through Automation.

BACKGROUND: Over the past few years, major inspection findings have been identified in the "management of adverse reactions" that may be due to increasing workload in pharmaceutical organizations impacting the correctness of information in individual case safety reports (ICSRs). Although retrospective quality check (Retro-QC) and late submission analyses are important steps in ensuring ICSR quality, their manual application poses several challenges that can be overcome through automation. OBJECTIVES: To improve the efficiency of the Retro-QC analysis and late submission analysis using a computer-operated tool called Compliance and Metrics Management (CMM) tool, and to measure the tool's effectiveness in terms of productivity, time, and cost savings by comparing against the manual process. METHODS: Time savings were calculated by measuring the difference in time taken during the manual process versus the automated process. Cost savings were measured in terms of hourly remuneration for the time saved. Productivity was calculated as the difference between the number of cases handled in the manual versus automated process. Thus, the overall efficiency was measured in terms of time and cost savings along with increased productivity. RESULTS: Automation resulted in time savings of 49% and cost savings of 43% for Retro-QC analysis, and the productivity level increased by 67%. For late submission analysis, the CMM tool resulted in time savings of 88% and cost savings of 87%. CONCLUSION: CMM tool enhanced the efficiency of both Retro-QC and late submission analyses by increasing productivity along with time and cost savings. It also reduced the number of errors, thereby enhancing the accuracy of the process and overall compliance.

The Role of a "Technology Navigator" in an Academic Diabetes Clinic: A Feasibility Evaluation.

Patient-generated device data play an important role in diabetes management. However, acquiring these data remains a challenge. This project aimed to understand whether implementing dedicated "Technology Navigator" (TN) personnel at a large academic diabetes clinic could facilitate access to device data without increasing work for clinic staff. A sample of visits pre- and post-TN implementation (n = 173) showed a 22% (41% vs. 19%) increase in patients who successfully shared their data from home before their visit and a 52% (67% vs. 15%) increase in visits where data were available to the provider for review before the appointment, whereas billing claims for continuous glucose monitor interpretation increased by 86% during the same period. Time analysis suggests that home uploads could save up to 747 h in medical assistant labor annually. Incorporating a TN may improve data availability, decrease time spent on nonbillable activities, and support data interpretation and billing.

Clinical Use of a Commercial Artificial Intelligence-Based Software for Autocontouring in Radiation Therapy: Geometric Performance and Dosimetric Impact.

PURPOSE: When autocontouring based on artificial intelligence (AI) is used in the radiotherapy (RT) workflow, the contours are reviewed and eventually adjusted by a radiation oncologist before an RT treatment plan is generated, with the purpose of improving dosimetry and reducing both interobserver variability and time for contouring. The purpose of this study was to evaluate the results of application of a commercial AI-based autocontouring for RT, assessing both geometric accuracies and the influence on optimized dose from automatically generated contours after review by human operator. MATERIALS AND METHODS: A commercial autocontouring system was applied to a retrospective database of 40 patients, of which 20 were treated with radiotherapy for prostate cancer (PCa) and 20 for head and neck cancer (HNC). Contours resulting from AI were compared against AI contours reviewed by human operator and human-only contours using Dice similarity coefficient (DSC), Hausdorff distance (HD), and relative volume difference (RVD). Dosimetric indices such as Dmean, D0.03cc, and normalized plan quality metrics were used to compare dose distributions from RT plans generated from structure sets contoured by humans assisted by AI against plans from manual contours. The reduction in contouring time obtained by using automated tools was also assessed. A Wilcoxon rank sum test was computed to assess the significance of differences. Interobserver variability of the comparison of manual vs. AI-assisted contours was also assessed among two radiation oncologists for PCa. RESULTS: For PCa, AI-assisted segmentation showed good agreement with expert radiation oncologist structures with average DSC among patients ≥ 0.7 for all structures, and minimal radiation oncology adjustment of structures (DSC of adjusted versus AI structures ≥ 0.91). For HNC, results of comparison between manual and AI contouring varied considerably e.g., 0.77 for oral cavity and 0.11-0.13 for brachial plexus, but again, adjustment was generally minimal (DSC of adjusted against AI contours 0.97 for oral cavity, 0.92-0.93 for brachial plexus). The difference in dose for the target and organs at risk were not statistically significant between human and AI-assisted, with the only exceptions of D0.03cc to the anal canal and Dmean to the brachial plexus. The observed average differences in plan quality for PCa and HNC cases were 8% and 6.7%, respectively. The dose parameter changes due to interobserver variability in PCa were small, with the exception of the anal canal, where large dose variations were observed. The reduction in time required for contouring was 72% for PCa and 84% for HNC. CONCLUSIONS: When an autocontouring system is used in combination with human review, the time of the RT workflow is significantly reduced without affecting dose distribution and plan quality.

Evaluating Efficiency of Time Use and Operational Costs in a Breast Clinic Workflow: A Comparative Analysis Between Automated Breast Ultrasound and Handheld Ultrasound.

Objective: The aim of this study was to evaluate efficiency of time use for radiologists and operational costs of automated breast ultrasound (ABUS) versus handheld breast ultrasound (HHUS). Materials and Methods: This study was approved by the Institutional Review Board, and informed consent was waived. One hundred and fifty-three patients, aged 21-81 years, underwent both ABUS and HHUS. The time required for the ABUS scanning and radiologist interpretation and the combined scanning and interpretation time for HHUS were recorded for screening and diagnostic exams. One-Way ANOVA test was used to compare the methods, and Cohen Kappa statistics were used to achieve the agreement levels. Finally, the cost of the methods and return of interest were compared by completing a cost analysis. Results: The overall mean ± standard deviation examination time required for ABUS examination was 676.2±145.42 seconds while mean scan time performed by radiographers was 411.76±67.79 seconds, and the mean radiologist time was 234.01±81.88 seconds. The overall mean examination time required for HHUS was 452.52±171.26 seconds, and the mean scan time and radiologist time were 419.62±143.24 seconds. The reduced time translated into savings of 7.369 TL/month, and savings of 22% in operational costs was achieved with ABUS. Conclusion: The radiologist's time was reduced with ABUS in both screening and diagnostic scenarios. Although a second-look HHUS is required for diagnostic cases, ABUS still saves radiologists time by enabling a focused approach instead of a complete evaluation of both breasts. Thus, ABUS appears to save both medical staff time and operational costs.

Expanding radiotherapy access in Sub-Saharan Africa: an analysis of travel burdens and patient-related benefits of hypofractionation.

Purpose: The purpose of this project was to examine the travel burdens for radiotherapy patients in Nigeria, Tanzania, and South Africa, and to assess the patient-related benefits of hypofractionated radiotherapy (HFRT) for breast and prostate cancer patients in these countries. The outcomes can inform the implementation of the recent Lancet Oncology Commission recommendations on increasing the adoption of HFRT in Sub-Saharan Africa (SSA) to enhance radiotherapy access in the region. Methods: Data were extracted from electronic patient records at the NSIA-LUTH Cancer Center (NLCC) in Lagos, Nigeria and the Inkosi Albert Luthuli Central Hospital (IALCH) in Durban, South Africa, from written records at the University of Nigeria Teaching Hospital (UNTH) Oncology Center in Enugu, Nigeria, and from phone interviews at Ocean Road Cancer Institute (ORCI) in Dar Es Salaam, Tanzania. Google Maps was used to calculate the shortest driving distance between a patient's home address and their respective radiotherapy center. QGIS was used to map the straight-line distances to each center. Descriptive statistics were used to compare transportation costs, time expenditures, and lost wages when using HFRT versus conventionally fractionated radiotherapy (CFRT) for breast and prostate cancer. Results: Patients in Nigeria (n=390) traveled a median distance of 23.1 km to NLCC and 86.7 km to UNTH, patients in Tanzania (n=23) traveled a median distance of 537.0 km to ORCI, and patients in South Africa (n=412) traveled a median distance of 18.0 km to IALCH. Estimated transportation cost savings for breast cancer patients in Lagos and Enugu were 12,895 Naira and 7,369 Naira, respectively and for prostate cancer patients were 25,329 and 14,276 Naira, respectively. Prostate cancer patients in Tanzania saved a median of 137,765 Shillings in transportation costs and 80.0 hours (includes travel, treatment, and wait times). Mean transportation cost savings for patients in South Africa were 4,777 Rand for breast cancer and 9,486 Rand for prostate cancer. Conclusion: Cancer patients in SSA travel considerable distances to access radiotherapy services. HFRT decreases patient-related costs and time expenditures, which may increase radiotherapy access and alleviate the growing burden of cancer in the region.

A whole-slide imaging based workflow reduces the reading time of pathologists.

Even though entirely digitized microscopic tissue sections (whole slide images, WSIs) are increasingly being used in histopathology diagnostics, little data is still available on the effect of this technique on pathologists' reading time. This study aimed to compare the time required to perform the microscopic assessment by pathologists between a conventional workflow (an optical microscope) and digitized WSIs. WSI was used in primary diagnostics at the Laboratory for Pathology Eastern Netherlands for several years (LabPON, Hengelo, The Netherlands). Cases were read either in a traditional workflow, with the pathologist recording the time required for diagnostics and reporting, or entirely digitally. Reading times were extracted from image management system log files, and the digitized workflow was fully integrated into the laboratory information system. The digital workflow saved time in the majority of case categories, with prostate biopsies saving the most (68% time gain). Taking into account case distribution, the digital workflow produced an average gain of 12.3%. Using WSI instead of conventional microscopy significantly reduces pathologists' reading times. Pathologists must work in a fully integrated environment to fully reap the benefits of a digital workflow.

A clinical and time savings evaluation of a deep learning automatic contouring algorithm.

Automatic contouring algorithms may streamline clinical workflows by reducing normal organ-at-risk (OAR) contouring time. Here we report the first comprehensive quantitative and qualitative evaluation, along with time savings assessment for a prototype deep learning segmentation algorithm from Siemens Healthineers. The accuracy of contours generated by the prototype were evaluated quantitatively using the Sorensen-Dice coefficient (Dice), Jaccard index (JC), and Hausdorff distance (Haus). Normal pelvic and head and neck OAR contours were evaluated retrospectively comparing the automatic and manual clinical contours in 100 patient cases. Contouring performance outliers were investigated. To quantify the time savings, a certified medical dosimetrist manually contoured de novo and, separately, edited the generated OARs for 10 head and neck and 10 pelvic patients. The automatic, edited, and manually generated contours were visually evaluated and scored by a practicing radiation oncologist on a scale of 1-4, where a higher score indicated better performance. The quantitative comparison revealed high (> 0.8) Dice and JC performance for relatively large organs such as the lungs, brain, femurs, and kidneys. Smaller elongated structures that had relatively low Dice and JC values tended to have low Hausdorff distances. Poor performing outlier cases revealed common anatomical inconsistencies including overestimation of the bladder and incorrect superior-inferior truncation of the spinal cord and femur contours. In all cases, editing contours was faster than manual contouring with an average time saving of 43.4% or 11.8 minutes per patient. The physician scored 240 structures with > 95% of structures receiving a score of 3 or 4. Of the structures reviewed, only 11 structures needed major revision or to be redone entirely. Our results indicate the evaluated auto-contouring solution has the potential to reduce clinical contouring time. The algorithm's performance is promising, but human review and some editing is required prior to clinical use.

Operating room time savings in Germany- and UK-based hospitals with 3D- VS. 2D-imaging technology in laparoscopic surgery: Meta analysis and budget impact model - Health economic evaluation.

AIMS: Opportunity cost (OC) analysis is key when evaluating surgical techniques. Operating room (OR) time is one potential source of OC in laparoscopic surgery. This study quantifies differences in OR time between 3D- and 2D-imaging technology in laparoscopic surgery, translates these into OC and models the economic impact in real-world hospitals. METHODS: First a systematically performed literature review and meta-analysis were conducted. Then, methods to translate OR time savings into OC were theorised and a budget impact model was created. After that, the potential time savings of real-world hospital case mixes were extrapolated. Finally, the opportunity costs of not using 3D-imaging in laparoscopic surgery were evaluated. RESULTS: Average OR time saving per laparoscopic procedure was -19.4 min (-24.3; -14.5) (-14%) in favour of 3D. The Budget Impact Model demonstrated an economic impact of using 3D-laparoscopy instead of 2D laparoscopy, ranging from £183,045-£866,316 in the British and 73,049€-437,829€ in German hospitals, modelling a mixture of cost savings and performing additional procedures (earning additional revenue). CONCLUSION: The OC analysis revealed significant economic benefits of introducing 3D-imaging technology in laparoscopic surgery, on the basis that average procedure time is reduced. Utilising the saved OR time to perform additional procedures was the biggest driver of OC. Hospital case mix and procedure volume indicated the magnitude of the OC.

Performance of Centargo: A Novel Piston-Based Injection System for High Throughput in CE CT.

Purpose: To compare an investigational device (MEDRAD® Centargo CT Injection System, "Centargo") to the currently available MEDRAD® Stellant CT Injection System ("Stellant"), in terms of efficiency, injector performance, and user satisfaction. Patients and Methods: A total of 425 patients at two sites were enrolled; 198 patients in phase one, a randomized study (98 Stellant and 100 Centargo). The second observational phase included 227 patients who were injected with Centargo. Phase one recorded times for setup, disassembly, and patient changeovers. Demographic data, subjective image quality, and injection parameters were collected. Phase two assessed usability via a questionnaire provided to all end-users of both systems (radiographers). Results: Patient changeover times were statistically significantly faster with Centargo (15.4s ± 8.7s vs 53.7s ± 19.6s, p < 0.001). Centargo day-setup times were similar to Stellant (138.1s ± 92s vs 151.8s ± 30.6s, p = 0.33) and end-of-day-disassembly times were significantly slower (60.6s ± 27s vs 17.1s ± 12.9s, p < 0.001). Based on four different scenarios modelling patient throughput, the projected time savings with Centargo over Stellant was 40-63%, with the highest efficiency improvements for higher throughputs and the use of larger contrast medium bottles. Both Centargo and Stellant usability averaged between "Very Easy" and "Easy" in all responses to the questionnaire. There were no instances of interrupted injections due to communication loss or detected air and no insufficient images due to injector performance. No safety issues were identified. Conclusion: Centargo was able to demonstrate improved efficiency as compared to Stellant while maintaining injector performance and high usability scores.

Clinical validation of an automatic atlas-based segmentation tool for male pelvis CT images.

PURPOSE: This retrospective work aims to evaluate the possible impact on intra- and inter-observer variability, contouring time, and contour accuracy of introducing a pelvis computed tomography (CT) auto-segmentation tool in radiotherapy planning workflow. METHODS: Tests were carried out on five structures (bladder, rectum, pelvic lymph-nodes, and femoral heads) of six previously treated subjects, enrolling five radiation oncologists (ROs) to manually re-contour and edit auto-contours generated with a male pelvis CT atlas created with the commercial software MIM MAESTRO. The ROs first delineated manual contours (M). Then they modified the auto-contours, producing automatic-modified (AM) contours. The procedure was repeated to evaluate intra-observer variability, producing M1, M2, AM1, and AM2 contour sets (each comprising 5 structures × 6 test patients × 5 ROs = 150 contours), for a total of 600 contours. Potential time savings was evaluated by comparing contouring and editing times. Structure contours were compared to a reference standard by means of Dice similarity coefficient (DSC) and mean distance to agreement (MDA), to assess intra- and inter-observer variability. To exclude any automation bias, ROs evaluated both M and AM sets as "clinically acceptable" or "to be corrected" in a blind test. RESULTS: Comparing AM to M sets, a significant reduction of both inter-observer variability (p < 0.001) and contouring time (-45% whole pelvis, p < 0.001) was obtained. Intra-observer variability reduction was significant only for bladder and femoral heads (p < 0.001). The statistical test showed no significant bias. CONCLUSION: Our atlas-based workflow proved to be effective for clinical practice as it can improve contour reproducibility and generate time savings. Based on these findings, institutions are encouraged to implement their auto-segmentation method.

An evaluation of DistillerSR's machine learning-based prioritization tool for title/abstract screening - impact on reviewer-relevant outcomes.

BACKGROUND: Systematic reviews often require substantial resources, partially due to the large number of records identified during searching. Although artificial intelligence may not be ready to fully replace human reviewers, it may accelerate and reduce the screening burden. Using DistillerSR (May 2020 release), we evaluated the performance of the prioritization simulation tool to determine the reduction in screening burden and time savings. METHODS: Using a true recall @ 95%, response sets from 10 completed systematic reviews were used to evaluate: (i) the reduction of screening burden; (ii) the accuracy of the prioritization algorithm; and (iii) the hours saved when a modified screening approach was implemented. To account for variation in the simulations, and to introduce randomness (through shuffling the references), 10 simulations were run for each review. Means, standard deviations, medians and interquartile ranges (IQR) are presented. RESULTS: Among the 10 systematic reviews, using true recall @ 95% there was a median reduction in screening burden of 47.1% (IQR: 37.5 to 58.0%). A median of 41.2% (IQR: 33.4 to 46.9%) of the excluded records needed to be screened to achieve true recall @ 95%. The median title/abstract screening hours saved using a modified screening approach at a true recall @ 95% was 29.8 h (IQR: 28.1 to 74.7 h). This was increased to a median of 36 h (IQR: 32.2 to 79.7 h) when considering the time saved not retrieving and screening full texts of the remaining 5% of records not yet identified as included at title/abstract. Among the 100 simulations (10 simulations per review), none of these 5% of records were a final included study in the systematic review. The reduction in screening burden to achieve true recall @ 95% compared to @ 100% resulted in a reduced screening burden median of 40.6% (IQR: 38.3 to 54.2%). CONCLUSIONS: The prioritization tool in DistillerSR can reduce screening burden. A modified or stop screening approach once a true recall @ 95% is achieved appears to be a valid method for rapid reviews, and perhaps systematic reviews. This needs to be further evaluated in prospective reviews using the estimated recall.

Exploring the impact of a liquefied petroleum gas intervention on time use in rural Peru: A mixed methods study on perceptions, use, and implications of time savings.

BACKGROUND: Efforts to promote clean cooking through adoption of clean-burning fuels such as liquefied petroleum gas (LPG) are often based on the idea that near-exclusive use of LPG could lead to health improvements. However, benefits beyond health, such as time savings, could be more tangible and meaningful to LPG users. OBJECTIVES: This study investigated the effect of an LPG intervention on time spent cooking and collecting fuel, using objective measures of stove temperatures combined with self-reports under conditions of near-exclusive LPG use. We also investigated the perceived value of any time savings and potential economic and quality of life implications. METHODS: We analyzed data from the Cardiopulmonary outcomes and Household Air Pollution trial in Puno, Peru, a randomized controlled trial with 180 participants assessing exposure and health impacts of an LPG stove, fuel, and behavioral intervention. Surveys conducted with 90 intervention women receiving free LPG and 90 control women cooking primarily with biomass assessed time spent cooking and collecting biomass fuel and use of time savings. Cooking time was objectively measured with temperature sensors on all stoves. Qualitative interviews explored perceptions and use of time savings in more depth. RESULTS: Intervention women spent 3.2 fewer hours cooking and 1.9 fewer hours collecting fuel per week compared to control women, but cooked on average 1.0 more meals per day. Participants perceived time saved from LPG positively, reporting more time for household chores, leisure activities, and activities with income-generating potential such as caring for animals and working in fields. DISCUSSION: This paper suggests that the benefits of LPG extend beyond health and the environment. LPG use could also lead to economic and quality of life gains, through increased time for work, rest, and consumption of hot meals, and reduced arduous biomass fuel collection.

Use of Adjuvant Breast Hypofractionation Radiation Treatment at a Cancer Center in Ontario From 2011 to 2018.

BACKGROUND: The adoption of hypofractionated radiotherapy (HFRT) into clinical practice varies widely despite randomized trials and guidelines supporting its equivalence to conventional fractionated radiotherapy (CFRT) for certain patient populations. We assessed the use of HFRT at a single institution from 2011 to 2018, as well as time-savings calculations. PATIENTS AND METHODS: A retrospective cohort study was conducted for patients with breast cancer receiving adjuvant radiotherapy by HFRT or CFRT. Trends in HFRT use (≤ 16 fractions) were stratified according to 4 subgroups: tangential breast RT, locoregional breast RT, tangential chest wall RT, and locoregional chest wall RT. Treatment time savings were approximated using the institutional median treatment time. RESULTS: A total of 5190 patients were included. HFRT use in all subgroups increased from 2011 to 2018. Tangential breast HFRT alone increased from 62.2% in 2011 to 96.9% in 2018. Locoregional breast HFRT and tangential chest wall HFRT use increased from less than 10% in 2011 to 76.2% and 76.9% in 2018. In locoregional chest wall RT, HFRT use of 44.9% was observed in 2018. Increased use of locoregional HFRT was mainly due to institutional policy changes. Time-savings calculations showed that 4002 hours of treatment or an additional 1402 HFRT courses could have been administered if all patients received HFRT. CONCLUSION: The use of HFRT at our center increased in all patient subgroups. More evidence and guidelines for patients receiving chest wall or locoregional HFRT are required because the use of HFRT remains low in these patient cohorts.

Virtual Savings: Patient-Reported Time and Money Savings from a VA National Telehealth Tablet Initiative.

Virtual care holds promise for offering services to Veterans Affairs (VA) patients who have barriers to accessing care. In 2016, the VA began issuing video-enabled tablets to Veterans with geographic, clinical, and/or social barriers to in-person care. To complement a national evaluation of system-level implementation and effectiveness of these tablets, we sought to understand whether the VA-issued tablets generated money and/or time savings for patients. We distributed a survey to 2,120 Veterans who received tablets and administered a follow-up survey 3-6 months later. The final analysis included 594 and 399 patients who responded to questions about money and time savings, respectively. We used poststratification survey weighting methods to address potential selection and nonresponse bias. In multinomial logistic regressions and logistic regressions, we examined patient characteristics associated with reported money and time savings. A majority of survey respondents reported that the tablets saved them money (89%) and time (71%). Respondents were more likely to report monetary savings if they lived at a greater distance from the VA, if they experienced travel barriers, and if they did not have a mental health condition. Respondents were more likely to report time savings if they were <45 or ≥65 years of age, employed, and reported more overall technology experience. Findings may inform policy decisions regarding patient targeting and training as VA aims to expand its use of video telehealth technology.

Addressing cost and time barriers in chronic disease management through telemedicine: an exploratory research in select low- and middle-income countries.

BACKGROUND: Despite evidence supporting telehealth provision in developed countries, there is limited evidence regarding its economic benefits for patients living in areas where access and cost present major barriers to health care, particularly in low- and middle-income countries (LMICs). This study explores the economic benefits of telemedicine for patients, in terms of cost and times savings, and its potential role in improving chronic disease outcomes. METHODS: This retrospective cross-sectional study compared telemedicine services with hypothetical in-person consultations, with a focus on patient travel time and travel cost savings. A database containing teleconsultation visits (N = 25,182) conducted at health facilities in remote regions of Afghanistan, Pakistan, Tajikistan, and the Kyrgyz Republic, was analyzed. A two-sample homoscedastic t test was used to determine differences between the two groups. A one-way sensitivity analysis was also conducted, presuming in-person teleconsultations at 90%, 75%, and 50%. RESULTS: The study extracted data from 25,182 teleconsultation visits (12,814 males; 12,368 females). The cumulative patient savings through the program amounted to USD 9,175,132, and 1,876,146 h, or 213.1 years. A significant difference was seen between the two groups in terms of mean time savings (p-value <0.05), and a nearly significant difference was observed in terms of mean cost savings (p-value = 0.05). CONCLUSIONS: This study suggests that considerable economic benefits imparted to patients in low-resource settings of LMICs via accessing telemedicine. Telemedicine has great potential to improve chronic disease outcomes in low-resource areas by reducing socioeconomic barriers related to cost and access, and increasing uptake of services, thereby enabling early intervention and long-term management.

[Mobile teledermatology in the treatment of chronic ulcers]. / Mobile Teledermatologie in der Behandlung chronischer Ulzera.

BACKGROUND: Treatment of chronic ulcers is challenging. Advanced age, comorbidities, and a lack of medical knowledge of the caretaker's relatives are additional burdens. This study analyses if patient driven teledermatology could support them in the treatment of leg ulcers. Another purpose was the evaluation of savings in time and costs through telemedicine. PATIENTS AND METHODS: Over a period of approximately 6 months, 50% of the patients were treated in an ambulant setting, the other 50% used mainly teledermatology. The tele-group used an application to upload their pictures, clinical results, and history. After examination, the expert sent back a treatment plan and a date for the next teleconsultation. RESULTS: In all, 40 patients-20 in the tele-group and 20 in the control group-(18 women, 22 men; median age: 75 years [39-88 years]) were included in the study. A total of 4 patients managed the teleconsultation on their own, while 3 patients were supported by relatives and 11 by nurses. Overall, 196 outpatient treatments took place in the control group (1.6 visits/patient/month), compared to 97 outpatient treatments (0.6 visits/patient/month) and 182 teledermatology consults (1.3/patient/month) in the tele-group. Six patients were only treated in the teledermatology setting. CONCLUSIONS: Results from this study suggest that teledermatology is well qualified for the treatment of chronic ulcers; at the same time teledermatology is able to reduce the number of outpatient treatments, in some cases teleconsultation alone is possible. This decreases waiting time and travel costs for patients. Mobile teledermatology for treatment of ulcers was well-accepted among the patients.

The role of telemedicine in postoperative care.

Telemedicine has become one of the most rapidly-expanding components of the health care system. Its adoption has afforded improved access to care, greater resource efficiency, and decreased costs associated with traditional office visits and has been well established in a wide array of fields. Telemedicine has been adopted in several domains of surgical care. In recent years, the role of telemedicine in postoperative care has caught attention as it has demonstrated excellent clinical outcomes, enhanced patient satisfaction, increased accessibility along with reduced wait times, and cost savings for patients and health care systems. In this narrative review, we describe the history of telemedicine, its adoption in the field of surgery and its various modalities, its use in the postoperative setting, and the potential benefits to both patients and healthcare systems. As telemedicine continues to emerge as a powerful tool for health care delivery, we also discuss several barriers to its widespread adoption as well as the future utility of telemedicine in postoperative care.