scholarly journals Learning Curves of Robotic Spine Surgery in a System Lack of Active Perception: Potential Roles of Teamwork and Unmet Needs

2021 ◽  
Author(s):  
Yu-feng Su ◽  
Tai-Hsin Tsai ◽  
Keng-Liang Kuo ◽  
Chieh-Hsin Wu ◽  
Cheng-Yu Tsai ◽  
...  
Keyword(s):  
Learning Curve ◽  
Spine Surgery ◽  
Unmet Needs ◽  
Learning Curves ◽  
University Hospital ◽  
Active Perception ◽  
Test Analysis ◽  
Orthopedic Surgeons ◽  
Individual Surgeon ◽  
Set Up

Abstract Background: The aim of this study was to investigate the learning curve of robotic spine surgery quantitatively with the well-described power law of practice.Methods: Kaohsiung Medical University Hospital set up a robotic spine surgery team by the neurosurgery department in 2013 and the orthopedic department joined the well-established team in 2014. A total of 150 cases and 841 transpedicular screws were enrolled into 3 groups: the first 50 cases performed by neurosurgeons, the first 50 cases by orthopedic surgeons, and 50 cases by neurosurgeons after the orthopedic surgeons joined the team. The time per screw and accuracy by each group and individual surgeon were analyzed.Results: The time per screw for each group was 9.56±4.19, 7.29±3.64, and 8.74±5.77 minutes respectively. The accuracy was 99.6% (253/254), 99.5% (361/363), and 99.1% (222/224), respectively. The first group took significantly more time per screw, but without significance on the nonlinear parallelism test. Analysis of 5 surgeons and their first 10 cases of short segment surgery showed the time per screw by each surgeon was 12.28±5.21, 6.38±1.54, 8.68±3.10, 6.33±1.90, and 6.73±1.81 minutes. The first surgeon who initiated the robotic spine surgery took significantly more time per screw and the nonlinear parallelism test also revealed only the first surgeon had a steeper learning curve. Conclusions: This is the first study to demonstrate that differences of learning curves between individual surgeons and teams. The roles of teamwork and the unmet needs due to lack of active perception are discussed.

scholarly journals Learning Curve for Laparoscopic Hysterectomy: An Experience from Kathmandu University Hospital

2018 ◽  
Vol 13 (3) ◽  
pp. 32-36
Author(s):  
Suman Raj Tamrakar ◽  
N. Pradhan ◽  
Suresh Kayastha
Keyword(s):  
Retrospective Study ◽  
Operating Time ◽  
Laparoscopic Hysterectomy ◽  
Minimal Invasive ◽  
Learning Curves ◽  
University Hospital ◽  
Demographic Parameters ◽  
Set Up ◽  
Duration Of Operation ◽  
Low Rate

Aims: The aim of this study is to assess learning curves for laparoscopic hysterectomies, compare the performance of surgeons and review demographic parameters of the patients, varieties of complications experienced and indications of the procedures. Methods: A retrospective study was conducted in Kathmandu University Hospital, Kavre of January 1, 2011 to June 30, 2018. Results: A total of 1849 cases were already performed by mid 2018. Of them, 261 (14.12%) cases were LAVH and TLH cases. Mean duration for laparoscopic hysterectomies (for both LAVH and TLH) was 142.21±43.46 minutes (range 55 to 310 minutes) and one third of the cases performed in a range of 121 to 150 minutes. There is difference in mean duration of operation between surgeons which is statistically significant (p <0.001). Beside one of four surgeons (surgeon B) had significant reduction in mean duration for LAVH surgery (p=0.004). Same surgeon has significant reduction in mean duration for performing TLH (p=0.0047). Of the 261 laparoscopic hysterectomies, 8 cases (3.07%) turned into laparotomy. Conclusions: Laparoscopic hysterectomies are feasible with reducing mean operating time across the period. These minimal invasive surgeries are safe with low rate of complications and less conversion to open even in our set up.

Comparison of Transradial vs Transfemoral Access in Neurovascular Fellowship Training: Overcoming the Learning Curve

2021 ◽  
Author(s):  
Fadi Al Saiegh ◽  
Ahmad Sweid ◽  
Nohra Chalouhi ◽  
Lucas Philipp ◽  
Nikolaos Mouchtouris ◽  
...  
Keyword(s):  
Radiation Dose ◽  
Learning Curve ◽  
Fellowship Training ◽  
Learning Curves ◽  
Fluoroscopy Time ◽  
Site Infection ◽  
Procedure Time ◽  
Access Site ◽  
Contrast Volume ◽  
Set Up

Abstract BACKGROUND The transradial access (TRA) is rapidly gaining popularity for neuroendovascular procedures as there is strong evidence for its benefits compared to the traditional transfemoral access (TFA). However, the transition to TRA bears some challenges including optimization of the interventional suite set-up and workflow as well as its impact on fellowship training. OBJECTIVE To compare the learning curves of TFA and TRA for diagnostic cerebral angiograms in neuroendovascular fellowship training. METHODS We prospectively collected diagnostic angiogram procedural data on the performance of 2 neuroendovascular fellows with no prior endovascular experience who trained at our institution from July 2018 until June 2019. Metrics for operator proficiency were minutes of fluoroscopy time, procedure time, and volume of contrast used. RESULTS A total of 293 diagnostic angiograms were included in the analysis. Of those, 57.7% were TRA and 42.3% were TFA. The median contrast dose was 60 cc, and the median radiation dose was 14 000 μGy. The overall complication rate was 1.4% consisting of 2 groin hematomas, 1 wrist hematoma, and 1 access-site infection using TFA. The crossover rate to TFA was 2.1%. Proficiency was achieved after 60 femoral and 95 radial cases based on fluoroscopy time, 52 femoral and 77 radial cases based on procedure time, and 53 femoral and 64 radial cases based on contrast volume. CONCLUSION Our study demonstrates that the use of TRA can be safely incorporated into neuroendovascular training without causing an increase in complications or significantly prolonging procedure time or contrast use.

scholarly journals Learning Curve Analysis of Different Stages of Robotic-Assisted Laparoscopic Hysterectomy

2017 ◽  
Vol 2017 ◽  
pp. 1-5 ◽  
Author(s):  
Feng-Hsiang Tang ◽  
Eing-Mei Tsai
Keyword(s):  
Learning Curve ◽  
Task Force ◽  
Laparoscopic Hysterectomy ◽  
Learning Curves ◽  
University Hospital ◽  
Uterine Weight ◽  
Robotic Assisted ◽  
Rapid Learning ◽  
Control Rules ◽  
Medical University

Objective. To analyze the learning curves of the different stages of robotic-assisted laparoscopic hysterectomy. Design. Retrospective analysis. Design Classification. Canadian Task Force classification II-2. Setting. Kaohsiung Medical University Hospital, Kaohsiung, Taiwan. Patient Intervention. Women receiving robotic-assisted total and subtotal laparoscopic hysterectomies for benign conditions from May 1, 2013, to August 31, 2015. Measurements and Main Results. The mean age, body mass index (BMI), and uterine weight were 46.44±5.31 years, 23.97±4.75 kg/m2, and 435.48±250.62 g, respectively. The most rapid learning curve was obtained for the main surgery console stage; eight experiences were required to achieve duration stability, and the time spent in this stage did not violate the control rules. The docking stage required 14 experiences to achieve duration stability, and the suture stage was the most difficult to master, requiring 26 experiences. BMI did not considerably affect the duration of the three stages. The uterine weight and the presence of adhesion did not substantially affect the main surgery console time. Conclusion. Different stages of robotic-assisted laparoscopic hysterectomy have different learning curves. The main surgery console stage has the most rapid learning curve, whereas the suture stage has the slowest learning curve.

scholarly journals Assessment of operator performance during oocyte retrievals: residents’ learning curve and continuous monitoring of senior physicians

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
C. Verhaeghe ◽  
H. El Hachem ◽  
L. Inchboard ◽  
R. Corroenne ◽  
C. Dreux ◽  
...  
Keyword(s):  
Learning Curve ◽  
Oocyte Retrieval ◽  
Learning Curves ◽  
University Hospital ◽  
Summation Test ◽  
Cusum Test ◽  
Large Variability ◽  
Cumulative Summation ◽  
The Mean ◽  
The Moment

Abstract Background The learning curve cumulative summation test (LC CUSUM test) allows to define an individualized learning curve and determine the moment when clinical proficiency is attained. After acquisition of the skills, the cumulative summation test (CUSUM test) allows to monitor the maintenance of the required level over time. The LC CUSUM test has been frequently used in the field of Obstetrics and Gynecology (Ob/Gyn) for several procedures, but only once for OR. Methods We performed a retrospective study at Angers university hospital between May 2017 and September 2018. Seven Ob/Gyn residents and 5 senior physicians were included, and all OR performed during that time (n = 690) were analyzed. The performance index assessed was the oocyte retrieval rate (ORR), defined as the ratio of oocytes retrieved to follicles aspirated. We used the LC CUSUM test to analyze the learning curves of residents, and the CUSUM test to monitor the performance of senior physicians. An ORR ≥50% in 60% of retrievals was defined as the threshold for clinical proficiency. Results Six hundred seventy-four oocyte retrieval (OR) were included: 315 were performed by residents, 220 by senior physicians, and 139 by both residents and physicians (mixed retrievals). Four residents (57%) reached the threshold after aspirating 82, 67, 53 and 46 ovaries, respectively. The mean number of ovaries aspirated in order to reach clinical proficiency was 62, and the mean number of weeks needed was 21. The duration of the learning period varied between 26 and 80 days. Two senior physicians (40%) remained proficient across the duration of the study, while two physicians (40%) had one statistically “suboptimal” OR, and one physician (20%) had two suboptimal retrievals. Conclusion There is a large variability in the duration of the learning period and the number of procedures needed for a resident to master OR. Senior physicians maintain an adequate performance.

scholarly journals COVID-19 does not stop obstetrics: what we need to change to go on safely birthing. The experience of a University Obstetrics and Gynecology Department in Milan

2020 ◽  
Vol 48 (9) ◽  
pp. 997-1000
Author(s):  
Nikita Alfieri ◽  
Stefano Manodoro ◽  
Anna Maria Marconi
Keyword(s):  
Health System ◽  
University Hospital ◽  
Obstetrics And Gynecology ◽  
Daily Routine ◽  
Clinical Services ◽  
Wuhan City ◽  
Set Up

AbstractSince SARS-COV-2 appeared in Wuhan City, China and rapidly spread throughout Europe, a real revolution occurred in the daily routine and in the organization of the entire health system. While non-urgent clinical services have been reduced as far as possible, all kind of specialists turned into COVID-19 specialists. Obstetric assistance cannot be suspended and, at the same time, safety must be guaranteed. In addition, as COVID-19 positive pregnant patients require additional care, some of the clinical habits need to be changed to face emerging needs for a vulnerable but unstoppable kind of patients. We report the management set up in an Obstetrics and Gynecology Unit during the COVID-19 era in a University Hospital in Milan, Italy.

scholarly journals Do Orthopedic Surgeons or Neurosurgeons Detect More Hip Disorders in Patients with Hip-Spine Syndrome? A Nationwide Database Study

2021 ◽  
Vol 11 (4) ◽  
pp. 485
Author(s):  
Tsung-Cheng Yin ◽  
Adam M. Wegner ◽  
Meng-Ling Lu ◽  
Yao-Hsu Yang ◽  
Yao-Chin Wang ◽  
...  
Keyword(s):  
Lumbar Spine ◽  
Spine Surgery ◽  
Hip Surgery ◽  
Lumbar Spine Surgery ◽  
Research Database ◽  
X Rays ◽  
Replacement Surgery ◽  
Orthopedic Surgeons ◽  
Spine Pathology ◽  
Sh Group

Background: Disorders of the hip and lumbar spine can create similar patterns of pain and dysfunction. It is unknown whether all surgeons, regardless of orthopedic or neurosurgery training, investigate and diagnose concurrent hip and spine pathology at the same rate. Methods: Data were retrieved from Taiwan’s National Health Insurance Research Database (NHIRD). Enrolled patients were stratified into hip and spine surgery at the same admission (Both), hip surgery before spine surgery (HS), or spine surgery before hip surgery (SH). The SH group was further subdivided based on whether spine surgery was performed by an orthopedic surgeon (OS) or neurosurgeon (NS), and differences in preoperative radiographic examinations and diagnoses were collected and analyzed. Results: In total, 1824 patients received lumbar spine surgery within 1 year before or after hip replacement surgery. Of these, 103 patients had spine and hip surgery in the same admission (Both), 1290 patients had spine surgery before hip surgery (SH), and 431 patients had hip surgery before spine surgery (HS). In the SH group, patients were categorized into spine surgery by orthopedic surgeons (OS) (n = 679) or neurosurgeons (NS) (n = 522). In the SH group, orthopedic surgeons investigated hip pathology with X-rays more often (52.6% vs. 38.1%, p < 0.001) and diagnosed more cases of hip disease (43.6% vs. 28.9%, p < 0.001) than neurosurgeons. Conclusions: Of patients in Taiwan’s NHIRD who had concurrent surgical degenerative hip and lumbar spine disorders who had spine surgery before hip surgery, orthopedic surgeons obtained hip images and made hip-related diagnoses more frequently than did neurosurgeons.

scholarly journals Coassessment framework to identify person-centred unmet needs in stroke rehabilitation: a case report in Norway

2020 ◽  
Vol 7 (1) ◽  
pp. 148-156
Author(s):  
Kari Jorunn Kværner ◽  
Linn Nathalie Støme ◽  
Jonathan Romm ◽  
Karianne Rygh ◽  
Frida Almquist ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Stroke Rehabilitation ◽  
Unmet Needs ◽  
Health Workers ◽  
University Hospital ◽  
Health Staff ◽  
Hospital Workers ◽  
Next Of Kin ◽  
Patient Journey ◽  
Health Value

ObjectiveTo describe unmet needs and values in stroke rehabilitation using the Health Value Framework and the associated coassessment tool Health Value Spider, a framework designed to identify and prioritise unmet needs based on health technology assessment (HTA).SettingThe study took place at Oslo University Hospital, Norway, from February to April 2019. Participants in three consecutive workshops were recruited from Sunnaas Rehabilitation Hospital, Oslo Municipality, Hospital Procurement Trust and Oslo University Hospital. Twenty-four hospital workers (medical and allied health staff and administrative staff) participated in workshop 1 and 29 patients, user representatives and hospital workers in workshop 2. Twenty-one patients and hospital workers participated in workshop 3.InterventionsStakeholder analysis and scenario building was performed in a coassessment setting where unmet needs were identified applying the Health Value Framework. Two of the authors are also the developers of the Health Value Framework (KJK and LNS).ResultsIn the two first workshops where health workers, patients and next of kin perspectives were elicited, three needs were identified: patient insecurity in patient journey transitions, lack of stroke rehabilitation expertise in primary care and invisible patient problems, such as fatigue and cognitive impairment. In workshop 3, 12 opportunity areas were identified. Four opportunity areas were selected by the stakeholders based on a prioritisation process: early discovery of cognitive impairment, rehabilitation continuity, empowered patients and next of kin and remote monitoring and digital touchpoints.ConclusionHealth Value Spider successfully identified and prioritised unmet needs and described associated values.

scholarly journals LEARNING CURVE IN SINGLE-LEVEL MINIMALLY INVASIVE TLIF: EXPERIENCE OF A NEUROSURGEON

2017 ◽  
Vol 16 (4) ◽  
pp. 279-282 ◽  
Author(s):  
Samuel Romano-Feinholz ◽  
Sergio Soriano-Solís ◽  
Julio César Zúñiga-Rivera ◽  
Carlos Francisco Gutiérrez-Partida ◽  
Manuel Rodríguez-García ◽  
...  
Keyword(s):  
Blood Loss ◽  
Learning Curve ◽  
Hospital Stay ◽  
Learning Curves ◽  
Surgical Experience ◽  
Surgical Time ◽  
Intraoperative Bleeding ◽  
Single Level ◽  
Piecewise Regression ◽  
The Mean

ABSTRACT Objective: To describe the learning curve that shows the progress of a single neurosurgeon when performing single-level MI-TLIF. Methods: We included 99 consecutive patients who underwent single-level MI-TLIF by the same neurosurgeon (JASS). Patient’s demographic characteristics were analyzed. In addition, surgical time, intraoperative blood loss and hospital stay were evaluated. The learning curves were calculated with a piecewise regression model. Results: The mean age was 54.6 years. The learning curves showed an inverse relationship between the surgical experience and the variable analyzed, reaching an inflection point for surgical time in case 43 and for blood loss in case 48. The mean surgical time was 203.3 minutes (interquartile range [IQR] 150-240 minutes), intraoperative bleeding was 97.4ml (IQR 40-100ml) and hospital stay of four days (IQR 3-5 days). Conclusions: MI-TLIF is a very frequent surgical procedure due to its effectiveness and safety, which has shown similar results to open procedure. According to this study, the required learning curve is slightly higher than for open procedures, and is reached after about 45 cases.

Research on the Potential of Resource Saving and Emission Reducing in Anhui Province: Based on Environment Learning Curve

2011 ◽  
Vol 361-363 ◽  
pp. 1000-1004
Author(s):  
Qi Li
Keyword(s):  
Energy Consumption ◽  
Learning Curve ◽  
Water Consumption ◽  
Exponential Model ◽  
Learning Curves ◽  
Anhui Province ◽  
Resource Saving ◽  
Environmental Learning ◽  
Discharge Water ◽  
Resource And Environment

Based on the statistics data from 1990 to 2008 in Anhui province, this article selects four indexes which include energy consumption, SO2 discharge, water consumption and COD discharge per ten thousand yuan GDP, and establishes environment learning curves of energy consumption and air pollution, water consumption and pollution in Anhui province. According to these models, the potentials of resources saving and pollution reducing in different periods are calculated and analyzed, represented by the decrease of each index when the per capita GDP increase 1000 yuan. The result shows that: (1) With the growth of GDP per capital, each index falls by power exponential model which follows "environmental learning curve", illustrating that the burden of resource and environment was steady declining. (2) The potentials of saving energy resources and reducing pollution in Anhui province gradually descents from 1990 to 2008, illustrating that the reduction in marginal cost by the development of technology is becoming smaller and smaller, and the enhancement of resource using efficiency and pollution reducing efficiency is not unlimited.

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