The document summarizes a project in China that aimed to strengthen health management information systems and HIV/AIDS reporting to improve monitoring and evaluation of HIV/AIDS services. Key activities included training stakeholders on data interpretation, monitoring, and using performance improvement tools. Monitoring found that after interventions, staff's knowledge and use of data increased, though challenges remained around developing feedback reports and training additional counties. The conclusion was that capacity improved but structural changes were still needed to support decision-making and the future plan was to scale up trainings, develop feedback tools, and strengthen communication.
Lisa Annaly, Head of Provider Analytics at the Care Quality Commission, discusses lessons learned from the CQC as they have worked to monitor care quality over time.
Data for Impact hosted a one-hour webinar sharing guidance for using routine data in evaluations. More: https://www.data4impactproject.org/resources/webinars/routine-data-use-in-evaluation-practical-guidance/
Monitoring quality of care: making the most of dataNuffield Trust
Chris Sherlaw-Johnson, Senior Research Analyst at the Nuffield Trust, introduced the Monitoring quality of care conference and gives an overview of some of the approaches that we've been using at the Trust to identify where care quality has been improving, especially for frail and older people.
Clinical Data Quality in Mozambique: A Comparative ExerciseJSI
Presentation for the American Public Health Association & Expo in Atlanta, GA. November 2017:
Ensuring that quality data are collected and reported to the Ministry of Health (MOH) is a priority in Mozambique as it is the foundation for the provision of quality health services. Since 2014, the Strategic Information Project in Mozambique (M-SIP) has provided technical assistance to MOH to conduct annual rounds of data quality assessments (DQA) in each province. Seven indicators were selected as part of the national DQA strategy. Each DQA had a quantitative and a system assessment component. The quantitative component includes tracing and verification of reported data, where recounted data is compared to data reported at three levels: health facility (HF), district, and province. M-SIP conducted all DQAs using the same methodology making the results comparable. After three consecutive national rounds, there is a clear trend of improvement, despite deviations remaining high. The regular, reinforcing nature of this activity and consistency of HF recommendations has had a positive impact on the data quality and results of the assessments. For example, the overall national deviation of the “patients active in ART” indicator decreased from 37% to 22% over the three-year period. The successful implementation of the DQA activity, as well as its unique, inclusive approach to promoting MOH ownership, has resulted in MOH recognition—at all levels—that DQA activities are crucial to future success. The M-SIP and MOH teams are now developing a more methodological approach to MOH staff empowerment, enabling fully independent MOH implementation of this activity while continuing to improve the quality of data.
Netta Hollings (Programme Manager - Mental Health and Community Care) discusses how you can get the most out of the Maternity Services Data Set (MSDS) and the Child Health Data Sets.
The data sets provide comparative, mother and child-centric data that will be used to improve clinical quality and service efficiency; and to commission services in a way that improves health and reduce inequalities.
Lisa Annaly, Head of Provider Analytics at the Care Quality Commission, discusses lessons learned from the CQC as they have worked to monitor care quality over time.
Data for Impact hosted a one-hour webinar sharing guidance for using routine data in evaluations. More: https://www.data4impactproject.org/resources/webinars/routine-data-use-in-evaluation-practical-guidance/
Monitoring quality of care: making the most of dataNuffield Trust
Chris Sherlaw-Johnson, Senior Research Analyst at the Nuffield Trust, introduced the Monitoring quality of care conference and gives an overview of some of the approaches that we've been using at the Trust to identify where care quality has been improving, especially for frail and older people.
Clinical Data Quality in Mozambique: A Comparative ExerciseJSI
Presentation for the American Public Health Association & Expo in Atlanta, GA. November 2017:
Ensuring that quality data are collected and reported to the Ministry of Health (MOH) is a priority in Mozambique as it is the foundation for the provision of quality health services. Since 2014, the Strategic Information Project in Mozambique (M-SIP) has provided technical assistance to MOH to conduct annual rounds of data quality assessments (DQA) in each province. Seven indicators were selected as part of the national DQA strategy. Each DQA had a quantitative and a system assessment component. The quantitative component includes tracing and verification of reported data, where recounted data is compared to data reported at three levels: health facility (HF), district, and province. M-SIP conducted all DQAs using the same methodology making the results comparable. After three consecutive national rounds, there is a clear trend of improvement, despite deviations remaining high. The regular, reinforcing nature of this activity and consistency of HF recommendations has had a positive impact on the data quality and results of the assessments. For example, the overall national deviation of the “patients active in ART” indicator decreased from 37% to 22% over the three-year period. The successful implementation of the DQA activity, as well as its unique, inclusive approach to promoting MOH ownership, has resulted in MOH recognition—at all levels—that DQA activities are crucial to future success. The M-SIP and MOH teams are now developing a more methodological approach to MOH staff empowerment, enabling fully independent MOH implementation of this activity while continuing to improve the quality of data.
Netta Hollings (Programme Manager - Mental Health and Community Care) discusses how you can get the most out of the Maternity Services Data Set (MSDS) and the Child Health Data Sets.
The data sets provide comparative, mother and child-centric data that will be used to improve clinical quality and service efficiency; and to commission services in a way that improves health and reduce inequalities.
Evaluation of the Rwanda Community Performance-Based Financing ProgramRBFHealth
This study evaluates the impact of two interventions introduced as part of the Rwanda Community Performance-Based Financing Program to increase coverage of targeted maternal and child health services: rewards to cooperatives of community health workers and demand-side conditional in-kind transfers. The evaluation exploits experimental design with intervention randomly assigned at the sub-district level for a duration of two and a half years. The analysis finds no impact of the incentives to cooperatives of community health workers. However, conditional in-kind demand-side incentives are shown to significantly increase take up of timely antenatal and postnatal consultations.
This Data for Impact webinar took place October 29, 2020. Learn more at https://www.data4impactproject.org/resources/webinars/use-of-routine-data-for-economic-evaluations/
Clinician Satisfaction Before and After Transition from a Basic to a Comprehe...Allison McCoy
Healthcare organizations are transitioning from basic to comprehensive electronic health records (EHRs) to meet Meaningful Use requirements and improve patient safety. Yet, full adoption of EHRs is lagging and may be linked to clinician dissatisfaction. In depth assessment of satisfaction before, during, and after EHR transition is rarely done. Using an adapted published tool to assess adoption and satisfaction with EHRs, we surveyed clinicians at a large, non-profit academic medical center before (baseline) and 6-12 months (short-term follow-up) and 12-24 months (long-term follow-up) after transition from a basic, locally-developed to a comprehensive, commercial EHR. Satisfaction with the EHR (overall and by component) was captured at each interval. Overall satisfaction was highest at baseline (85%), lowest at short-term follow-up (66%), and increasing at long-term follow-up (79%). This trend was similar for satisfaction with EHR components designed to improve patient safety including clinical decision support, patient communication, health information exchange, and system reliability. Conversely, at baseline, short-term and long-term follow-up, perceptions of productivity, ability to provide better care with the EHR, and satisfaction with available resources, were lower at both short- and long-term follow-up compared to baseline. Persistent dissatisfaction with productivity and resources was identified. Addressing determinants of dissatisfaction may increase full adoption of EHRs. Further investigation in larger populations is warranted.
Zimbabwe: Results-Based Financing Improves Coverage, Quality and Financial Pr...RBFHealth
A presentation by Dr. Gwinji, Permanent Secretary, Ministry of Health, Zimbabwe and Dr. Tafadzwa Goverwa- Sibanda, delivered during "Transforming Health Systems Through Results-Based Financing," an event held during the Third Global Symposium on Health Systems Research in Cape Town on September 30, 2014. This event was hosted by the Health Results Innovation Trust Fund at The World Bank, in partnership with the PBF Community of Practice in Africa.
Data Driven Management - Visioning Slides CARE CML IndrajitIndrajit Chaudhuri
This slide-deck explains the concept of Data Driven Management (DDM) and it's application by CARE India in Bihar as a part of Integrated Family Health Initiative (IFHI) project funded by Bill & Melinda Gates Foundation. Later, in 2013, a much bigger, innovative and ambitious measurement effort called Concurrent Measurement and Learning (CML) was established as a part of Bihar Technical Support Program. The basic work on DDM during IFHI project created the basis for CML.
What Makes a Good Performance Management Plan? A new tool for managersMEASURE Evaluation
Led by Tory M. Taylor, a monitoring and evaluation specialist with MEASURE Evaluation from Tulane University.
The webinar introduced a tool to assist project managers in conducting effective Performance Management Plan (PMP) reviews. The tool provides feedback to implementing partners and is a brief, comprehensive checklist that covers the essential elements of a comprehensive PMP.
Lessons from meta-evaluation of MGNREGA from a gender and equality lens (2014)Ranjani K.Murthy
This slide shares insights form a review of 22 government commissioned evaluations of the Mahatma Gandhi National Rural Employment Guarantee Ac, 2005 from a gender and substantive equality lens. It argues that MGNREGA evaluations and its impact are gendered and reflect social hierarchies (like another evaluation and entitlement).
It points to strategies for negotiating with evaluations and schemes which seek to translate entitlements so as to engender them and make them account for other social identities of women.
Developing a Web-based Integrated Dashboard for Health Information Systems, D...JSI
Presentation for the American Public Health Association & Expo, Atlanta, GA. November 2017:
Purpose: To examine the process and impact of developing an integrated, web-based dashboard for Health Information Systems Data: With the technical assistance from the USAID funded Health Systems Strengthening (HSS) program implemented by JSI Research & Training Institute, Inc., the Sindh Department of Health has developed an integrated on-line health information dashboard, linking all vertical program Management and Information Systems (MIS), and documenting all Lady Health Workers (LHW). Methods: In addition to supporting dashboard development, HSS has focused on improving the quality of data that is being generated through the routine health information system. The approach adopted by HSS includes direct support to staff working at on-line data entry points so that accurate and complete information is recorded. HSS also provides infrastructure support to district M&E cells. Results: The dashboard consolidates data from existing DHIS, MNCH-MIS and other vertical programs databases, all of which are supervised by the district M&E Cells. This integrated dashboard serves as the provincial dashboard and is fully interoperable with the DHIS and M&E systems in Sindh. As the project has matured, data quality continues to be improved. Discussion and Policy Recommendations: This online system resulted in desk-based, real-time data monitoring, through data dashboards and visual displays. Currently, online data of all public health facilities and in all districts across Sindh province is in place, and is being used for decision making. Health managers can review the performance of each and every health facility and provide feedback to improve the quality of data for achieving the desired targets.
Data Quality Assessment Pilot Highlights Focus on Improving HMIS Data Quality...HFG Project
Dr. Vishnu Kant Srivastava leads the Statistics Division at India’s Ministry of Health and Family Welfare (MoHFW). Having managed statistical initiatives at different departments and levels of the government, Dr. Srivastava recognizes the value of quality data for effective decision making. He spoke with USAID’s Health Finance and Governance (HFG) project on the findings of the data quality assessment pilot the HFG team conducted.
Evaluation of the Rwanda Community Performance-Based Financing ProgramRBFHealth
This study evaluates the impact of two interventions introduced as part of the Rwanda Community Performance-Based Financing Program to increase coverage of targeted maternal and child health services: rewards to cooperatives of community health workers and demand-side conditional in-kind transfers. The evaluation exploits experimental design with intervention randomly assigned at the sub-district level for a duration of two and a half years. The analysis finds no impact of the incentives to cooperatives of community health workers. However, conditional in-kind demand-side incentives are shown to significantly increase take up of timely antenatal and postnatal consultations.
This Data for Impact webinar took place October 29, 2020. Learn more at https://www.data4impactproject.org/resources/webinars/use-of-routine-data-for-economic-evaluations/
Clinician Satisfaction Before and After Transition from a Basic to a Comprehe...Allison McCoy
Healthcare organizations are transitioning from basic to comprehensive electronic health records (EHRs) to meet Meaningful Use requirements and improve patient safety. Yet, full adoption of EHRs is lagging and may be linked to clinician dissatisfaction. In depth assessment of satisfaction before, during, and after EHR transition is rarely done. Using an adapted published tool to assess adoption and satisfaction with EHRs, we surveyed clinicians at a large, non-profit academic medical center before (baseline) and 6-12 months (short-term follow-up) and 12-24 months (long-term follow-up) after transition from a basic, locally-developed to a comprehensive, commercial EHR. Satisfaction with the EHR (overall and by component) was captured at each interval. Overall satisfaction was highest at baseline (85%), lowest at short-term follow-up (66%), and increasing at long-term follow-up (79%). This trend was similar for satisfaction with EHR components designed to improve patient safety including clinical decision support, patient communication, health information exchange, and system reliability. Conversely, at baseline, short-term and long-term follow-up, perceptions of productivity, ability to provide better care with the EHR, and satisfaction with available resources, were lower at both short- and long-term follow-up compared to baseline. Persistent dissatisfaction with productivity and resources was identified. Addressing determinants of dissatisfaction may increase full adoption of EHRs. Further investigation in larger populations is warranted.
Zimbabwe: Results-Based Financing Improves Coverage, Quality and Financial Pr...RBFHealth
A presentation by Dr. Gwinji, Permanent Secretary, Ministry of Health, Zimbabwe and Dr. Tafadzwa Goverwa- Sibanda, delivered during "Transforming Health Systems Through Results-Based Financing," an event held during the Third Global Symposium on Health Systems Research in Cape Town on September 30, 2014. This event was hosted by the Health Results Innovation Trust Fund at The World Bank, in partnership with the PBF Community of Practice in Africa.
Data Driven Management - Visioning Slides CARE CML IndrajitIndrajit Chaudhuri
This slide-deck explains the concept of Data Driven Management (DDM) and it's application by CARE India in Bihar as a part of Integrated Family Health Initiative (IFHI) project funded by Bill & Melinda Gates Foundation. Later, in 2013, a much bigger, innovative and ambitious measurement effort called Concurrent Measurement and Learning (CML) was established as a part of Bihar Technical Support Program. The basic work on DDM during IFHI project created the basis for CML.
What Makes a Good Performance Management Plan? A new tool for managersMEASURE Evaluation
Led by Tory M. Taylor, a monitoring and evaluation specialist with MEASURE Evaluation from Tulane University.
The webinar introduced a tool to assist project managers in conducting effective Performance Management Plan (PMP) reviews. The tool provides feedback to implementing partners and is a brief, comprehensive checklist that covers the essential elements of a comprehensive PMP.
Lessons from meta-evaluation of MGNREGA from a gender and equality lens (2014)Ranjani K.Murthy
This slide shares insights form a review of 22 government commissioned evaluations of the Mahatma Gandhi National Rural Employment Guarantee Ac, 2005 from a gender and substantive equality lens. It argues that MGNREGA evaluations and its impact are gendered and reflect social hierarchies (like another evaluation and entitlement).
It points to strategies for negotiating with evaluations and schemes which seek to translate entitlements so as to engender them and make them account for other social identities of women.
Developing a Web-based Integrated Dashboard for Health Information Systems, D...JSI
Presentation for the American Public Health Association & Expo, Atlanta, GA. November 2017:
Purpose: To examine the process and impact of developing an integrated, web-based dashboard for Health Information Systems Data: With the technical assistance from the USAID funded Health Systems Strengthening (HSS) program implemented by JSI Research & Training Institute, Inc., the Sindh Department of Health has developed an integrated on-line health information dashboard, linking all vertical program Management and Information Systems (MIS), and documenting all Lady Health Workers (LHW). Methods: In addition to supporting dashboard development, HSS has focused on improving the quality of data that is being generated through the routine health information system. The approach adopted by HSS includes direct support to staff working at on-line data entry points so that accurate and complete information is recorded. HSS also provides infrastructure support to district M&E cells. Results: The dashboard consolidates data from existing DHIS, MNCH-MIS and other vertical programs databases, all of which are supervised by the district M&E Cells. This integrated dashboard serves as the provincial dashboard and is fully interoperable with the DHIS and M&E systems in Sindh. As the project has matured, data quality continues to be improved. Discussion and Policy Recommendations: This online system resulted in desk-based, real-time data monitoring, through data dashboards and visual displays. Currently, online data of all public health facilities and in all districts across Sindh province is in place, and is being used for decision making. Health managers can review the performance of each and every health facility and provide feedback to improve the quality of data for achieving the desired targets.
Data Quality Assessment Pilot Highlights Focus on Improving HMIS Data Quality...HFG Project
Dr. Vishnu Kant Srivastava leads the Statistics Division at India’s Ministry of Health and Family Welfare (MoHFW). Having managed statistical initiatives at different departments and levels of the government, Dr. Srivastava recognizes the value of quality data for effective decision making. He spoke with USAID’s Health Finance and Governance (HFG) project on the findings of the data quality assessment pilot the HFG team conducted.
The Basics of Monitoring, Evaluation and Supervision of Health Services in NepalDeepak Karki
This presentation has made to health workers who have more than two decades of experience of managing/implementing public health programs in Nepal, especially at district level and below.
Performance of Routine Information System Management Framework (PRISM) led by Natasha Kanagat
The PRISM framework consists of four tools to assess Routine Health Information System (RHIS) performance, identify technical, behavioral and organizational factors that affect RHIS, aid in designing priority interventions to improve performance and improve quality and use of routine health data.
Recording: http://universityofnc.adobeconnect.com/p1edhgz9zs7/
PRISM Tool: https://www.cpc.unc.edu/measure/publications/ms-11-46-d
Learn about how the South African government uses monitoring and evaluation to assess its performance.
Dr Ian Goldman, from the Department of Performance Monitoring and Evaluation: The Presidency, speaks at the Tshikululu Social Investments Serious Social Investing 2013 workshop.
• Performance management overview and relevance to public health
• Turning Point Performance Management System Framework overview
• Turning Point Performance Management System Framework 2012 refresh
• Tools to help your organization assess performance management capacity
• Performance management resources
Managing missing values in routinely reported data: One approach from the Dem...MEASURE Evaluation
This Data for Impact webinar was held in December 2020. Access the recording and learn more at https://www.data4impactproject.org/resources/webinars/managing-missing-values-in-routinely-reported-data-one-approach-from-the-democratic-republic-of-the-congo/
Lessons learned in using process tracing for evaluationMEASURE Evaluation
Access the recording for this Data for Impact (D4I) webinar at https://www.data4impactproject.org/lessons-learned-in-using-process-tracing-for-evaluation/
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
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These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
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Evaluation of antidepressant activity of clitoris ternatea in animals
China Experience – Arusha Wksp
1. From Reporting to Use: Evidence from China Anwer Aqil, MD, MCPS, MPH, DrPH Theo Lippeveld, MD, MPH Lu Yao, MS From Data to Impact: Using Heath Data for Results S Arusha, Tanzania 29 January, 2008
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9. Training Results Types of Staff Trained - Guangxi Guangxi Counties 6 Health facilities 98 Master trainers (provincial, prefecture, counties) 28 CDC and Health Bureau staff 63 Health facilities staff 124 Total provincial, county and facility staff 215
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13. Monitoring Data July 08 Counties Knowledge of: Baseline Guangxi Xinging PingXiang NingMing HengXian HeChi Checking Data Accuracy 30.9 80 <55 <55 70 <55 Interpret information 34.4 80 60 60 90 <55 Cycle of use of information 0 80 <55 <55 60 55 Benefits of Cause-Effect Diagram 0 60 <55 <55 85 60 Benefits of Prioritizing Causes 0 80 <55 <55 80 55 Benefits of Advocacy 0 70 <55 <55 80 60 Story Board 0 85 60 55 60 55
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15. Monitoring Data July 08 Use of performance tools Baseline Guangxi Xinging PingXiang NingMing HengXian HeChi Cause-Effect Diagram 0 70 80 80 55 <55 Prioritizing Causes chart 0 55 80 70 <55 <55 Advocacy chart 0 60 55 70 55 <55 Story Board 0 60 60 60 60 <55
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17. Monitoring Data July 08 Monitoring Baseline Guangxi Xinging PingXiang NingMing HengXian HeChi catchment population chart 50 60 <55 60 85 80 Control chart for data accuracy 0 55 <55 <55 85 <55 Control chart for any performance indicator 0 95 <55 <55 90 70
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19. Monitoring Data July 08 Use of information Baseline Guangxi Xinging PingXiang NingMing HengXian HeChi Monthly report available 98 95 80 80 95 60 Discussion on the monthly data 60 95 55 60 95 <55 Indicators below targets noted 0 95 55 55 55 55 Decisions taken 46 95 70 80 90 85 Follow-up actions reviewed 50 95 60 70 95 85 Problem referred for solutions 32.9 95 80 80 95 80 Data used for community education 0 90 55 70 85 95
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21. Monitoring Data July 08 Feedback and promote Use Baseline Guangxi Xinging PingXiang NingMing HengXian HeChi Feedback report available 52.1 100 55 70 100 70 Sharing success stories on use 40.7 90 60 70 90 80