Effect of Financial Incentives on Incentivised and Non-Incentivised Clinical Activities: Utilising Primary Care Databases to answer clinical, policy and methodological questions
Introduction of the NZ Health IT Plan enables better gout management - Reflections of an early adopter. Presented by Peter Gow, Counties Manukau DHB, at HINZ 2014, 12 November 2014, 11.37am, Plenary Room
Three Dimensions of Care for Diabetes (3DFD) – diabetes management for people...NHS Improving Quality
Three Dimensions of Care for Diabetes (3DFD) – diabetes management for people with psychological / social needs, by King's College Hospital NHS Foundation Trust, Guy's and St Thomas' NHS Foundation Trust and King's Health Partners
Let's Talk Research 2015 - Michael Harrison Blount - An Action Research appro...NHSNWRD
An Action Research approach to facilitating the integration of best practice in the Assessment and Management of Diabetes Related Lower Limb Problems in India.
Michael Harrison-Blount MSc. BSc (Hons). MChS. MFPM RCPS (Glasg). CSci
Lecturer in Podiatry
School of Health SciencesUniversity of Salford
t: +44 0161 2953516
email; m.j.harrison-blount@salford.ac.uk | www.salford.ac.uk
Evaluation of the Mother and Infant Health ProjectOlena Nizalova
This presentation is on the paper which exploits a unique opportunity to evaluate the impact of the quality change in the labor and delivery services brought about by the Mother and Infant Health Project in Ukraine. Employing program evaluation methods, we find that the administrative units participating in the Project have exhibited greater improvements in both maternal and infant health compared to the control ones. Among the infant health characteristics, the MIHP impact is most pronounced for infant mortality resulting from deviations in perinatal period. As for the maternal health, the MIHP is the most effective at combating anemia, blood circulation and urinary-genital system complications, and late toxicosis. The analysis suggests that the effects are due to early attendance of antenatal clinics, lower share of C-sections, and greater share of normal deliveries. Preliminary cost-effectiveness analysis shows enormous benefit per dollar spent on the project: the cost to benefit ratio is one to 97 taking into account both maternal and infant lives saved as well as cost savings due to the changes in labor and delivery practices.
CDV: Still a National Priority, by Huon Gray, National Clinical Director (Cardiac), NHS England and Consultant Cardiologist, University Hospitals of Southampton
Implementing a Pragmatic Trial of Physical Activity Coaching in COPDUCLA CTSI
"Lessons Learned with Implementing a Pragmatic Trial of Physical Activity Coaching in COPD"
Huong Q. Nguyen, PhD, RN
Research Scientist, Kaiser Permanente
Affiliate Associate Professor, University of Washington
A presentation of the Southern California Regional Dissemination, Implementation and Improvement Science Webinar Series.
Provided by the UCLA CTSI
Introduction of the NZ Health IT Plan enables better gout management - Reflections of an early adopter. Presented by Peter Gow, Counties Manukau DHB, at HINZ 2014, 12 November 2014, 11.37am, Plenary Room
Three Dimensions of Care for Diabetes (3DFD) – diabetes management for people...NHS Improving Quality
Three Dimensions of Care for Diabetes (3DFD) – diabetes management for people with psychological / social needs, by King's College Hospital NHS Foundation Trust, Guy's and St Thomas' NHS Foundation Trust and King's Health Partners
Let's Talk Research 2015 - Michael Harrison Blount - An Action Research appro...NHSNWRD
An Action Research approach to facilitating the integration of best practice in the Assessment and Management of Diabetes Related Lower Limb Problems in India.
Michael Harrison-Blount MSc. BSc (Hons). MChS. MFPM RCPS (Glasg). CSci
Lecturer in Podiatry
School of Health SciencesUniversity of Salford
t: +44 0161 2953516
email; m.j.harrison-blount@salford.ac.uk | www.salford.ac.uk
Evaluation of the Mother and Infant Health ProjectOlena Nizalova
This presentation is on the paper which exploits a unique opportunity to evaluate the impact of the quality change in the labor and delivery services brought about by the Mother and Infant Health Project in Ukraine. Employing program evaluation methods, we find that the administrative units participating in the Project have exhibited greater improvements in both maternal and infant health compared to the control ones. Among the infant health characteristics, the MIHP impact is most pronounced for infant mortality resulting from deviations in perinatal period. As for the maternal health, the MIHP is the most effective at combating anemia, blood circulation and urinary-genital system complications, and late toxicosis. The analysis suggests that the effects are due to early attendance of antenatal clinics, lower share of C-sections, and greater share of normal deliveries. Preliminary cost-effectiveness analysis shows enormous benefit per dollar spent on the project: the cost to benefit ratio is one to 97 taking into account both maternal and infant lives saved as well as cost savings due to the changes in labor and delivery practices.
CDV: Still a National Priority, by Huon Gray, National Clinical Director (Cardiac), NHS England and Consultant Cardiologist, University Hospitals of Southampton
Implementing a Pragmatic Trial of Physical Activity Coaching in COPDUCLA CTSI
"Lessons Learned with Implementing a Pragmatic Trial of Physical Activity Coaching in COPD"
Huong Q. Nguyen, PhD, RN
Research Scientist, Kaiser Permanente
Affiliate Associate Professor, University of Washington
A presentation of the Southern California Regional Dissemination, Implementation and Improvement Science Webinar Series.
Provided by the UCLA CTSI
Let's Talk Research Annual Conference - 24th-25th September 2014 (Martin Troe...NHSNWRD
"Negotiated Work Based Learning: pedagogy to up-skill Advanced Practice Physiotherapists to enhance patient journey and experience in the Emergency Department": Martin Troedel's presentation from the conference.
Guidelines - what difference do they make? A Dutch perspectiveepicyclops
This lecture was given by Dr Raymond Ostelo of the EMGO Institute, VU University Medical Center, Amsterdam, to the North British Pain Association Spring Scientific Meeting in Edinburgh on Friday 18th May, 2007. His lecture forms part of a conference "Blurring the Boundaries - Managing Pain in Primary Care and Secondary Care".
American Public Health Association- Annual Meeting 2014 Presentation scherala
Title: Using Quantitative Data to focus Medical Home Facilitation Interventions in the Massachusetts Patient Centered Medical Home Initiative (MA PCMHI)
Policy Implications of Healthcare Associated InfectionsAlbert Domingo
On February 19, 2014 at the Ateneo School of Medicine and Public Health in Pasig City, Dr. Albert Domingo presented an introduction to the economic impact of healthcare associated infections (HAIs) as well as related concepts in health policy and management. The speaker discussed common approaches taken to ascertain the economic impact of HAIs, followed by factors/considerations in Philippine health policy and management that must be understood and adjusted in order to minimize HAIs.
A document prepared by Dr. Mustafa Salih, the former director of the Directorate General of Health Policy, planning and research at the Federal ministry of Health in Sudan.
Let's Talk Research Annual Conference - 24th-25th September 2014 (Martin Troe...NHSNWRD
"Negotiated Work Based Learning: pedagogy to up-skill Advanced Practice Physiotherapists to enhance patient journey and experience in the Emergency Department": Martin Troedel's presentation from the conference.
Guidelines - what difference do they make? A Dutch perspectiveepicyclops
This lecture was given by Dr Raymond Ostelo of the EMGO Institute, VU University Medical Center, Amsterdam, to the North British Pain Association Spring Scientific Meeting in Edinburgh on Friday 18th May, 2007. His lecture forms part of a conference "Blurring the Boundaries - Managing Pain in Primary Care and Secondary Care".
American Public Health Association- Annual Meeting 2014 Presentation scherala
Title: Using Quantitative Data to focus Medical Home Facilitation Interventions in the Massachusetts Patient Centered Medical Home Initiative (MA PCMHI)
Policy Implications of Healthcare Associated InfectionsAlbert Domingo
On February 19, 2014 at the Ateneo School of Medicine and Public Health in Pasig City, Dr. Albert Domingo presented an introduction to the economic impact of healthcare associated infections (HAIs) as well as related concepts in health policy and management. The speaker discussed common approaches taken to ascertain the economic impact of HAIs, followed by factors/considerations in Philippine health policy and management that must be understood and adjusted in order to minimize HAIs.
A document prepared by Dr. Mustafa Salih, the former director of the Directorate General of Health Policy, planning and research at the Federal ministry of Health in Sudan.
FOOD CROP PRODUCTION
SOLAR RENEWABLE ENERGY
LIVELIHOOD GENDER PROJECT
URBAN POOR PROJECT
FEEDING,MEDICAL MISSION
YOUTH LEADERSHIP ACTION
ENTREPRENUERAL PROJECT
TECHNICAL SKILLS PROJECT
SENIOR CITIZEN PROGRAM
MUSIC, ARTS & LITERATURE
SPORTS
Interventions to reduce unplanned hospital admission, a study from NHS Bristo...Emergency Live
This review represents one of the most comprehensive sources of evidence on interventions for unplanned hospital admissions. There was evidence that education/self-management, exercise/rehabilitation and telemedicine in selected patient populations, and specialist heart failure interventions can help reduce unplanned admissions. However, the evidence to date suggests that majority of the remaining interventions included in these reviews do not help reduce unplanned admissions in a wide range of patients.
Every healthcare contact is a health improvement opportunity but how well do we embed lifestyle advice in our day‐to‐day encounters? Gain a greater
awareness and understanding of the Health Promoting Health Service and how we can implement this activity in your workplace.
Population Health Management & Volume To Value Based CareIFAH
A session by Amish Purohit, CEO and CMO, US Health Systems on the topic of 'Population Health Management & Volume To Value Based Care' at IFAH USA 2019 held at Caesars Palace, 18-20 June, 2019.
A 10-minute presentation by Melanie Voevodin to post-graduate students in health at Dandenong Hospital, Melbourne, Australia 28th July 2011.
Voevodin, Truby, Haines, Palermo
The nature of worksites makes it is an ideal opportunity for obesity control and prevention interventions. The National Institutes of Health has funded 119 grants between 2007 and 2014.
Originally presented at the George Washington University and ICF International Research and Evaluation Forum (#GWICF2015), Dr. Charlotte Pratt, Program Director at the National Health, Lung, and Blood Institute (NHLBI), gives an overview of worksite obesity research and the key questions they aim to answer:
Do interventions that modify the worksite food and physical activity environments (or combined with individual approaches) control body weight in adults?
Will participation in a worksite obesity intervention sustain and maintain weight loss, and reduce cardiovascular disease risk factors in adults?
In addition to the slides, you can watch the video for research details and outcomes as well as recommendations for future research: www.icfi.com/ObesityPreventionCharlottePratt
Professor Kamlesh Khunti - Prevention of Chronic DiseaseCLAHRC-NDL
Presentation by Professor Kamlesh Khunti on Prevention of Chronic Disease. Professor Khunti is Director of NIHR CLAHRC East Midlands and leads the Preventing Chronic Disease research theme.
WCRF International Continuous Update Project (CUP). Presentation given by Giota Mitrou PhD MSc, Head of Research Funding and Science Activities, World Cancer Research Fund International (WCRF International).
Designing a Learning Health Organization for Collective ImpactTomas J. Aragon
"Designing a Learning Health Organization for Collective Impact" was my presentation given at the California HealthCare Foundation (CHCF) Health Care Leadership Program final seminar and graduation. Congratulations to the amazing fellow graduates!!!
Similar to NIHR School for primary care showcase 2012 - financial incentives (20)
Re-analysis of the Cochrane Library data and heterogeneity challengesEvangelos Kontopantelis
Heterogeneity issues and a re-analysis of the Cochrane Library data. Presented in the 35th Annual Conference of the International Society for Clinical Biostatistics (ISCB35) in Vienna
The Relationship Between Quality of Care and Choice of Clinical Computing System: Retrospective Analysis of Family Practice Performance Under the UK Quality and Outcomes Framework
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
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.
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
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
Title: Sense of Smell
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 primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
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.
Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
As flu season approaches, health officials in Bangalore, Karnataka, are urging residents to get their flu vaccinations. The seasonal flu, while common, can lead to severe health complications, particularly for vulnerable populations such as young children, the elderly, and those with underlying health conditions.
Dr. Vidisha Kumari, a leading epidemiologist in Bangalore, emphasizes the importance of getting vaccinated. "The flu vaccine is our best defense against the influenza virus. It not only protects individuals but also helps prevent the spread of the virus in our communities," he says.
This year, the flu season is expected to coincide with a potential increase in other respiratory illnesses. The Karnataka Health Department has launched an awareness campaign highlighting the significance of flu vaccinations. They have set up multiple vaccination centers across Bangalore, making it convenient for residents to receive their shots.
To encourage widespread vaccination, the government is also collaborating with local schools, workplaces, and community centers to facilitate vaccination drives. Special attention is being given to ensuring that the vaccine is accessible to all, including marginalized communities who may have limited access to healthcare.
Residents are reminded that the flu vaccine is safe and effective. Common side effects are mild and may include soreness at the injection site, mild fever, or muscle aches. These side effects are generally short-lived and far less severe than the flu itself.
Healthcare providers are also stressing the importance of continuing COVID-19 precautions. Wearing masks, practicing good hand hygiene, and maintaining social distancing are still crucial, especially in crowded places.
Protect yourself and your loved ones by getting vaccinated. Together, we can help keep Bangalore healthy and safe this flu season. For more information on vaccination centers and schedules, residents can visit the Karnataka Health Department’s official website or follow their social media pages.
Stay informed, stay safe, and get your flu shot today!
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
New Drug Discovery and Development .....NEHA GUPTA
The "New Drug Discovery and Development" process involves the identification, design, testing, and manufacturing of novel pharmaceutical compounds with the aim of introducing new and improved treatments for various medical conditions. This comprehensive endeavor encompasses various stages, including target identification, preclinical studies, clinical trials, regulatory approval, and post-market surveillance. It involves multidisciplinary collaboration among scientists, researchers, clinicians, regulatory experts, and pharmaceutical companies to bring innovative therapies to market and address unmet medical needs.
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- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
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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
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Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
Novas diretrizes da OMS para os cuidados perinatais de mais qualidade
NIHR School for primary care showcase 2012 - financial incentives
1. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Effect of Financial Incentives on
Incentivised and Non-Incentivised Clinical
Activities
Utilising Primary Care Databases to answer clinical,
policy and methodological questions
Evan Kontopantelis Tim Doran David Reeves
Reilly S, Oiler I, Springate D, Valderas J, Ashcroft D, Sutton M, Ryan R, Morris
R, Planner C, Gask L, Roland M, Campbell S, Salisbury C.
Centre for Primary Care
Institute of Population Health
Faculty of Medicine
University of Manchester
2. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
School for Primary Care Research
Primary Care Database (PCD) research
05/10/2012 Keele University
Undergraduate
A-Z | Order a Prospectus
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A-Z | Order a Prospectus
Research Degrees
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Prospectus
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Please print responsibly.
Welcome to New Students
Keele Charter Year
News and Press Releases
Events at Keele - What's On?
How to Find U
Our Campus
About the Are
Contact Us
Keele moves up
Sunday Times
University
League Table
03 Oct 2012
chool for
Primary
Care
esearch
ncreasing the
dence base for
rimary care
practice
The National Institute for Health Research School for Primary Care Research
is a partnership between the Universities of Birmingham, Bristol, Keele,
Manchester, Nottingham, Oxford, Southampton and UCL.
The views expressed are those of the author(s) and not
necessarily those of the NHS, the NIHR or the Department of Health.
3. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Other departments
University of Birmingham - Ronan Ryan
Regional GP datasets and The Health Improvement
Network (THIN)
Implementing risk models derived from PCD data in
practice (prevention, early detection)
Keele University - Kelvin Jordan
CPRD and local CiPCA
Emphasis on musculoskeletal disorders (burden, long
term course, management)
UCL - Irene Petersen(THIN Database Research Team)
Drugs prescribed in pregnancy, missing data methods,
cardiovascular diseases in SMI patients
Hosts a national primary care database user group and
provides training courses
International initiative to develop reporting guidelines for
electronic health records (RECORD)
4. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Outline
1 Background
2 Concluded work
Non-incentivised care
Diabetes
3 Current work
5. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Improving quality of care
a (very) juicy carrot...
A pay-for-performance (p4p) program kicked off in April
2004 with the introduction of a new GP contract
General practices are rewarded for achieving a set of
quality targets for patients with chronic conditions
The aim was to increase overall quality of care and to
reduce variation in quality between practices
The incentive scheme for payment of GPs was named
the Quality and Outcomes Framework (QOF)
Initial investment estimated at £1.8 bn for 3 years
(increasing GP income by up to 25%)
QOF is reviewed at least every two years
6. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Quality and Outcomes Framework
details for years 1 (2004/5) and 7 (2010/11)
Domains and indicators in year 1 (year 7):
Clinical care for 10 (19) chronic diseases, with 76 (80)
indicators
Organisation of care, with 56 (36) indicators
Additional services, with 10 (8) indicators
Patient experience, with 4 (5) indicators
Implemented simultaneously in all practices (a control
group was out of the question)
Practices are allowed to exclude patients from the
indicators and the payment calculations
Into the 9th year now (01Mar12/31Apr13); cost for the
first 8 years was well above the estimate at £8 bn
approximately
7. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Research
pre-PCD
Data
Primary Care
Research
Methodological
Research
QMAS
(QOF)
What about aspects not measured and reported under QMAS?
Investigated GP responses to changes in incentives
How small practices fare within the scheme
Investigated the effect of incentives on inequality
Examined exception reporting and “gaming”
Examined improvement in rates of achievement over time
Simulated
GMS
UKBORDERS
8. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
The Clinical Practice Research Datalink
CPRD
Established in 1987, with only a handful of practices
Since 1994 owned by the Secretary of State for Health
In July 2012:
644 practices (Vision system only)
13,772,992 patients
Access to the whole database is offered and costs
≈£130,000 pa
Offers the ability to extract anything adequately
recorded in primary care and construct a usable
dataset
9. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Research
post-PCD
Data
Primary Care
Research
Methodological
Research
QMAS
(QOF)
The effect of QOF on non-incentivised aspects of care
Patient level care for diabetes, pre- and post-QOF
Investigated GP responses to changes in incentives
How small practices fare within the scheme
Investigated the effect of incentives on inequality
Examined exception reporting and “gaming”
Examined improvement in rates of achievement over time
Simulated
GMS
UKBORDERS
CPRD
10. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Effect of Financial Incentives on Incentivised
and Non-Incentivised Clinical Activities
Effect of financial incentives on incentivised and
non-incentivised clinical activities: longitudinal
analysis of data from the UK Quality and Outcomes
Framework
Tim Doran clinical research fellow1
, Evangelos Kontopantelis research associate1
, Jose M Valderas
clinical lecturer 2
, Stephen Campbell senior research fellow 1
, Martin Roland professor of health
services research3
, Chris Salisbury professor of primary healthcare4
, David Reeves senior research
fellow 1
1
National Primary Care Research and Development Centre, University of Manchester, Manchester M13 9PL, UK; 2
NIHR School for Primary Care
Research, Department of Primary Health Care, University of Oxford, Oxford OX3 7LF; 3
General Practice and Primary Care Research Unit, University
of Cambridge, Cambridge CB2 0SR; 4
Academic Unit of Primary Health Care, University of Bristol, Bristol BS8 2AA
Abstract
Objective To investigate whether the incentive scheme for UK general
practitioners led them to neglect activities not included in the scheme.
Introduction
Over the past two decades funders and policy makers worldwide
have experimented with initiatives to change physicians’
BMJ 2011;342:d3590 doi: 10.1136/bmj.d3590 Page 1 of 12
Research
RESEARCH
11. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Incentivised aspects keep improving
050010001500
Numberofpractices
0 20 40 60 80 100
Percentage of patients
08/09 07/08 06/07 05/06 04/05
Overall, 48+2 (smoking) indicators
Reported achievement
Quality scores for all
QOF clinical indicators
have been improving
Only a small proportion
of all clinical care
Concerns that quality for
non-incentivised aspects
may have been
neglected
How measure
performance on
non-incentivised care?
12. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Clinical indicators
Two aspects to clinical indicators:
a disease condition (e.g. diabetes, CHD)
a care activity (e.g. influenza vaccination, BP control)
Three indicator classes, in terms of incentivisation:
(FI) Condition & process incentivised in QOF (28 ind)
(PI) Condition or process incentivised (13 ind)
(UI) Neither condition nor process incentivised (7 ind)
Example (Indicators)
(FI) DM11: Patients with diabetes in whom the last blood pressure (within
15m) is 145/85 or less
(PI) B4: Patients with peripheral arterial disease who have a record of total
cholesterol in the last 15m
(UI) C4: Patients with back pain treated with strong analgesics (co-dydramol
upwards) in the last 15m
13. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Research questions
the obvious ones at least!
We aimed to compare the three classes on changes in
quality from pre-QOF (2000/1 - 2002/3) to post-QOF
(2004/5 - 2006/7)
Would FI indicators show most improvement?
Would PI show some ‘halo’ effects since they involve
either a QOF condition or activity?
Has quality for UI indicators declined?
14. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Issues to tackle
Indicator classes are imbalanced
Three different types of activities (x3 classes = 9
groups):
clinical processes related to measurement (PM/R)
FI:17 PI:9 UI:0
e.g. blood pressure measurement
clinical processes related to treatment (PT)
FI:6 PI:4 UI:7
e.g. influenza immunisation
intermediate outcome measures (I)
FI:5 PI:0 UI:0
e.g. control of HbA1c to 7.4 or below
Quality of care was already improving (prior to QOF)
The ceiling has been reached for certain ‘easy’
indicators
15. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
The approach
The main analysis used logit-transformed scores, due
to the ceiling effect
Untransformed scores were used in a sensitivity
analysis
The six available indicator groups (of a possible nine)
were compared, on performance above expectation
FE model selected; controlling for RTTM, denominator,
patient age and gender
All analyses performed in Stata
Interrupted Time Series methods employed
16. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
The approach
Interrupted Time Series
With ITS multi-level multiple regression analyses,
compared the six indicator groups on two outcomes:
0
10
20
30
40
50
60
70
80
90
100
%
0
10
20
30
40
50
60
70
80
90
100
%
Pre-trend Observed Uplift in year 1 Uplift in year 3
The difference between
observed and expected
achievement, in 2004/5
The difference between
observed and expected
achievement, in 2006/7
17. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Trends by indicator group
−2.00.02.04.0
logitscale
2000/01 2001/02 2002/03 2003/04 2004/05 2005/06 2006/07
Year
FI−PM/R (17) FI−PT (6) FI−I (5)
PI−PM/R (5) PI−PT (2) UI−PT (2)
using group means of indicator means (by practice)
in brackets, the number of indicators in each group
Logit transformed scores
Indicator group performance
18. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Trends by indicator group
−2.00.02.04.0
logitscale
2000/01 2001/02 2002/03 2003/04 2004/05 2005/06 2006/07
Year
FI−PM/R (17) FI−PT (6) FI−I (5)
PI−PM/R (5) PI−PT (2) UI−PT (2)
using group means of indicator means (by practice)
in brackets, the number of indicators in each group
Logit transformed scores
Indicator group performance
19. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Trends by indicator group
−2.00.02.04.0
logitscale
2000/01 2001/02 2002/03 2003/04 2004/05 2005/06 2006/07
Year
FI−PM/R (17) FI−PT (6) FI−I (5)
PI−PM/R (5) PI−PT (2) UI−PT (2)
using group means of indicator means (by practice)
in brackets, the number of indicators in each group
Logit transformed scores
Indicator group performance
20. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Trends by indicator group
−2.00.02.04.0
logitscale
2000/01 2001/02 2002/03 2003/04 2004/05 2005/06 2006/07
Year
FI−PM/R (17) FI−PT (6) FI−I (5)
PI−PM/R (5) PI−PT (2) UI−PT (2)
using group means of indicator means (by practice)
in brackets, the number of indicators in each group
Logit transformed scores
Indicator group performance
21. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Trends by indicator group
−2.00.02.04.0
logitscale
2000/01 2001/02 2002/03 2003/04 2004/05 2005/06 2006/07
Year
FI−PM/R (17) FI−PT (6) FI−I (5)
PI−PM/R (5) PI−PT (2) UI−PT (2)
using group means of indicator means (by practice)
in brackets, the number of indicators in each group
Logit transformed scores
Indicator group performance
22. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Trends by indicator group
−2.00.02.04.0
logitscale
2000/01 2001/02 2002/03 2003/04 2004/05 2005/06 2006/07
Year
FI−PM/R (17) FI−PT (6) FI−I (5)
PI−PM/R (5) PI−PT (2) UI−PT (2)
using group means of indicator means (by practice)
in brackets, the number of indicators in each group
Logit transformed scores
Indicator group performance
23. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Difference in 2004/5
of observed performance compared to expectation
All three fully incentivised indicator groups significantly
increased in level above expectation post-QOF
Partially incentivised treatment indicators significantly
decreased in level below expectation post-QOF
Uplift in
2004/5
Group
Fully
incentivized
measurement
Fully
incentivized
outcome
Fully
incentivized
treatment
Partially
incentivized
measurement
Unincentivized
treatment
Partially
incentivized
treatment
Mean
*
14.5% 8.2% 4.2% 0.8% -0.7% -1.5%
95% confidence interval (14.0, 15.0) (7.3, 9.2) (3.2, 5.3) (-0.2, 1.8) (-1.8, 0.5) (-3.0, -0.2)
P value <0.001 <0.001 <0.001 0.128 0.257 0.03
Difference between means** [---------------------------]
* Group means based on logit-transformed data, back-transformed to percentage scores.
** Neuman-Keuls tests. Means connected by a dashed line were not significantly different (p > 0.05).
Uplift in
2006/7
Group
Fully
incentivized
outcome
Fully
incentivized
measurement
Fully
incentivized
treatment
Unincentivized
treatment
Partially
incentivized
treatment
Partially
incentivized
measurement
Mean * 3.9% 3.9% 2.4% -1.2% -2.8% -5.1%
95% confidence interval (2.9, 4.8) (3.1, 4.6) (1.4, 3.3) (-2.3, -0.2) (-4.2, -1.5) (-6.2, -3.9)
24. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Difference in 2006/7
of observed performance compared to expectation
All three fully incentivised indicator groups significantly
increased in level above expectation post-QOF
All partially incentivised and non-incentivised indicator
groups significantly decreased in level below
expectation post-QOF
Uplift in
2004/5
Group
Fully
incentivized
measurement
Fully
incentivized
outcome
Fully
incentivized
treatment
Partially
incentivized
measurement
Unincentivized
treatment
Partially
incentivized
treatment
Mean
*
14.5% 8.2% 4.2% 0.8% -0.7% -1.5%
95% confidence interval (14.0, 15.0) (7.3, 9.2) (3.2, 5.3) (-0.2, 1.8) (-1.8, 0.5) (-3.0, -0.2)
P value <0.001 <0.001 <0.001 0.128 0.257 0.03
Difference between means** [---------------------------]
* Group means based on logit-transformed data, back-transformed to percentage scores.
** Neuman-Keuls tests. Means connected by a dashed line were not significantly different (p > 0.05).
Uplift in
2006/7
Group
Fully
incentivized
outcome
Fully
incentivized
measurement
Fully
incentivized
treatment
Unincentivized
treatment
Partially
incentivized
treatment
Partially
incentivized
measurement
Mean * 3.9% 3.9% 2.4% -1.2% -2.8% -5.1%
95% confidence interval (2.9, 4.8) (3.1, 4.6) (1.4, 3.3) (-2.3, -0.2) (-4.2, -1.5) (-6.2, -3.9)
P value <0.001 <0.001 <0.001 0.024 <0.001 <0.001
Difference between means** [------------------------]
* Group means based on logit-transformed data, back-transformed to percentage scores.
** Neuman-Keuls tests. Means connected by a dashed line were not significantly different (p > 0.05).
25. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Conclusions
Short term, on average:
The 3 groups of fully incentivised indicators exhibited
performance above expectation
Partially incentivised treatment indicators demonstrated
significantly lower than expected gains
Long term, on average:
Fully incentivised groups continued to have positive
uplifts
The three partially incentivised and non-incentivised
groups displayed significantly negative uplifts
QOF did not generate positive spill-overs to other
activities & appears to have had a negative impact on
non-incentivised ones
26. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Quality of primary care for patients with
diabetes in England pre- and post-QOF
Recorded quality of primary care for
patients with diabetes in England
before and after the introduction
of a financial incentive scheme:
a longitudinal observational study
Evangelos Kontopantelis,1
David Reeves,1
Jose M Valderas,2,3
Stephen Campbell,1
Tim Doran1
▸ An additional data is
published online only. To
view this file please visit the
journal online (http://bmjqs.
bmj.com)
1
Health Sciences Primary
Care Research Group,
University of Manchester,
Manchester, UK
2
Health Services and Policy
Research Group, NIHR
School for Primary Care
Research, Department of
Primary Health Care,
University of Oxford,
Oxford, UK
3
European Observatory of
Health Systems and Policies,
London School of
Economics, London, UK
Correspondence to
Dr Evangelos Kontopantelis,
Health Sciences Primary
ABSTRACT
Background: The UK’s Quality and Outcomes
Framework (QOF) was introduced in 2004/5,
linking remuneration for general practices to recorded
quality of care for chronic conditions, including
diabetes mellitus. We assessed the effect of the
incentives on recorded quality of care for diabetes
patients and its variation by patient and practice
characteristics.
Methods: Using the General Practice Research
Database we selected a stratified sample of 148 English
general practices in England, contributing data from
2000/1 to 2006/7, and obtained a random sample of
653 500 patients in which 23 920 diabetes patients
identified. We quantified annually recorded quality of
care at the patient-level, as measured by the 17 QOF
diabetes indicators, in a composite score and analysed
it longitudinally using an Interrupted Time Series
design.
Results: Recorded quality of care improved for all
subgroups in the pre-incentive period. In the first year
INTRODUCTION
In the last 15 years the National Health
Service in the UK has undergone a series of
reforms aimed at improving the quality of
care for people with chronic conditions.
These include the creation of the National
Institute for Health and Clinical Excellence,
and the introduction of National Service
Frameworks which set minimum standards
for the delivery of health services in specified
clinical areas, including diabetes mellitus.1
The quality of primary care generally, and of
diabetes care in particular, improved in the
early 2000s,2
partly in response to these
quality improvement initiatives.3
In 2004 new
contractual arrangements for family doctors
allowed them to opt out of out-of-hours
care and linked financial incentives to quality
Original research
BMJ Quality & Safety Online First, published on 22 August 2012 as 10.1136/bmjqs-2012-001033
group.bmj.comon August 23, 2012 - Published byqualitysafety.bmj.comDownloaded from
27. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Practice level care for Diabetes keeps
improving but...
Minimum
threshold
y1/2
Mminimum
threshold
y3/5
Maximum
threshold
y1/5
0200400600800
Numberofpractices
0 20 40 60 80 100
Percentage of patients
08/09 07/08 06/07 05/06 04/05
Diabetes 18
Reported achievement
Quality of care for
diabetes known to
improve post-QOF
Did QOF really have an
effect, if we account for
pre-QOF trends?
Does quality of care vary
across patient
subgroups?
Did the scheme
potentially benefit all
subgroups uniformly?
28. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
The approach
23,920 type I & II diabetes patients identified in 148
practices and a sample of 653,500 from CPRD
Data extracted in yearly ‘bins’, corresponding to QOF
years, from 2000/1 to 2006/7
Three time points before and 3 after the intervention
For each time point, annually recorded quality of care at
the patient level was quantified as an aggregate of the
applicable diabetes indicators (of the 17 possible)
ITS analysis used again, the best possible
quasi-experimental approach, in lack of a control group
Logistic transformation to deal with ceiling effect
29. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Analyses
three main analyses
Examined the overall impact of the QOF
pay-for-performance scheme in the CPRD diabetes
population
Compared mean QOF scores in the pre- and post-QOF
periods for different patient subgroups
Examined if the intervention impact varied by patient
subgroups (controlled analysis)
30. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Overall pay-4-performance impact
Analysis 1
Recorded QOF care did not vary significantly by area
deprivation before or after the introduction of the
incentivisation scheme. However, the effect of the inter-
measured by the QOF diabetes indicat
improving prior to the introduction of
2004, and that it improved at an acce
the first years of its implementation,
findings of previous studies.11 23
Howev
ated improvement did not seem to ben
tion groups equally.
Strengths and limitations of the study
The main strength of our study was in
for individual patients drawn from a nati
tative sample of practices. However, the
to certain limitations. First, the QOF was
versally and was not implemented as p
mised experiment. The lack of a practic
entails that analyses of its effect in qua
only possible using quasi-experimental m
obtained with these methods can be
assumptions-sensitive; however, the in
series design is one of the most effectiv
Figure 2 Aggregate patient level Quality and Outcomes
Framework care and predictions based on the
pre-incentivisation trend.
Origi
group.bmj.comon September 14, 2012 - Published byqualitysafety.bmj.comDownloaded from
In 2004/5 there was
improvement in
composite recorded
QOF care
over-and-above that
expected from the
pre-intervention trend, of
14.2% (13.7%-14.6%)
By the third year
(2006/7), the difference
was smaller, at 7.3%
(6.7%-8.0%)
31. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Differences in pre- and post-QOF level of care
Analysis 2
0
20
40
60
80
100
%
2000/0
1
2001/0
2
2002/0
3
2003/0
4
2004/0
5
2005/0
6
2006/0
7
Total cholest rec
0
20
40
60
80
100
%
2000/0
1
2001/0
2
2002/0
3
2003/0
4
2004/0
5
2005/0
6
2006/0
7
Total chol≤5mmol/l
0
20
40
60
80
100
%
2000/0
1
2001/0
2
2002/0
3
2003/0
4
2004/0
5
2005/0
6
2006/0
7
Influenza immunis
Total cholest rec: DM16, record of total cholesterol (15m)
Total chol≤5mmol/l: DM17, last measured total cholesterol is ≤5mmol/l
Aged 0−24 25−44 45−64 ≥65
Score higher for patients aged 65+
than in patients aged 17-39 by 11%
pre- and 11.7% post-QOF
QOF care marginally lower for
females in both time periods, by
around 2%
Scores for patients with 3+
conditions higher on average by
6.3% pre- & 6.1% post-QOF
compared to patients with no
co-morbidities
Highest for patients living with
diabetes for 1-4 yr, lowest for new
diagnoses (4.7% pre & 9.1% post)
32. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Pay-4-performance impact variation
Analysis 3
2000/1 2001/2 2002/3 2003/4 2004/5 2005/6 2006/7
new diagno 44.7 50.4 56.5 65.3 73.4 74.2 74.3
1-4 years 48.4 53.9 59.4 71.1 80.9 83 83.2
5-9 years 46.4 51.9 56.8 69.1 78.7 81.4 81.8
10+ years 45.4 50 55.1 66.7 77.6 79.3 80.4
2000/1 2001/2 2002/3 2003/4 2004/5 2005/6 2006/7
new diagnoses 44.7 50.4 56.5 65.3 73.4 74.2 74.3
1-4 years 48.4 53.9 59.4 71.1 80.9 83 83.2
5-9 years 46.4 51.9 56.8 69.1 78.7 81.4 81.8
10+ years 45.4 50 55.1 66.7 77.6 79.3 80.4
40
45
50
55
60
65
70
75
80
85
90
aggregaterecordedQOFcarescore
No significant variation
by sex, age, number of
co-morbid conditions
Significant variation by
number of years living
with condition
Compared to new
diagnoses, all other
subgroups more
positively affected both
in 04/5 & 06/07 (≈6-7%)
33. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Conclusions
Recorded quality of primary care, as measured by the
QOF diabetes indicators, was already improving prior
to the introduction of the scheme
Improved at an accelerated rate in the first years of
implementation but gains diminished in following years
QOF may have led to immediate gains in quality of care
than would have eventually been achieved in its
absence (although it may have taken longer)
QOF care tended to be higher for patients with more
co-morbid conditions throughout the entire study
period, including pre-QOF years
Newly diagnosed patients seem to have benefitted less
from the QOF
34. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Research
CPRD and/or QOF related
Data
Primary Care
Research
Methodological
Research
CPRD
QMAS
(QOF)
Investigate cancer screening utilisation for patients with type 2 diabetes
(NAEDI funded study, in progress)
Investigating the effect of GP clinical system on QOF performance (in
progress)
Quality of care for patients with diabetes in England, before and after the
QOF (BMJ Quality and safety, 2012)
Exempting dissenting patients for p4p schemes: an analysis of exception
reporting in the UK QOF (BMJ, 2012)
Family doctor responses to changes in incentives for influenza
immunisation under the QOF (Health Services Research, 2012)
Framework and indicator testing protocol for developing and piloting
quality indicators for the UK QOF (BMC Family Practice, 2011)
Effect of financial incentives on incentivised and non-incentivised clinical
activities: longitudinal analysis of data from the UK QOF (BMJ, 2011)
Simulation generation
methods (in progress)
Imputation methods for
missing data in the GPRD (in
progress)
Representative sampling, a
greedy algorithm (submitted)
Other Healthcare
Research
Investigating the effect of bariatric surgery using GPRD (in
progress)
Risk of self harm in physically ill patients (Journal of
Psychosomatic Research, 2012)
Suicide risk in primary care patients with major physical
diseases: a case-control study (Arch Gen Psychiatry, 2012)
other
other
NSPCR funded
Investigating aspects of the QOF using the GPRD (Evan Kontopantelis)
· Indicator removal
· Exception reporting and gaming
· Diabetes mortality and condition complications
Investigating quality of care for severe mental health patients using the GPRD (Siobhan Reilly & Evan Kontopantelis)
· Examine if those with condition develop co-morbidities earlier
· Examine BMI, cholesterol, BP and blood glucose and quantify the effect of the QOF
· Determine rates of consultations
CANcer DIagnosis Decision rules, CANDID (Paul Little)
· Investigate symptoms and examination findings that are predictors of lung or colon cancer
Simulated
Investigating the validity of
Primary Care Databases
(David Reeves)
· Aims to identify,
further develop and
test methods for
addressing validity
issues in PCDs
NSPCR
funded
GMS
UKBORDERS
35. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Validity of evaluations of effectiveness based
on PCDs
Reeves, Kontopantelis, Doran, Ashcroft, Ryan, Morris
Recommend methods by which the internal and
external validity of evaluations of effectiveness based
on PCDs can be assessed and maximised
36. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Exploring physical health and primary care
management of SMI patients using the CPRD
Reilly, Kontopantelis, Doran, Reeves, Ashcroft, Gask, Planner
Patients with SMI (schizophrenia, schizophrenia-like
psychosis, bipolar affective disorder or other psychosis)
are at greater risk of developing chronic physical
illnesses than the general population
This is a result of both the primary illnesses and their
treatment
This higher incidence of chronic disease is
compounded by generally poorer health outcomes in
patients with SMI
This despite frequent contact with health care
professionals
37. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Exploring physical health and primary care
management of SMI patients using the CPRD
Reilly, Kontopantelis, Doran, Reeves, Ashcroft, Gask, Planner
By examining 2000-2011 CPRD data aims to:
Determine frequency of primary care usage and of
primary preventative activities for patients with SMI
compared to patients without
Compare the number and pattern of comorbidities in
patients with SMI compared with those without SMI
Examine whether patients with SMI develop
comorbidities at a younger age than those without SMI
Assess quality of care for all mental health related
activities incentivised under the QOF scheme, and
whether this changed following the introduction of QOF
38. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
An investigation of the Quality and Outcomes
Framework (QOF) using the CPRD
Kontopantelis, Doran, Reeves, Campbell, Sutton, Valderas, Ashcroft
Three different projects which aim to investigate
aspects of the UK primary care pay-for-performance
scheme with the use of CPRD
These projects, albeit different in scope, share a
common background and require the same or a very
similar extraction procedure
Indicator removal
Exception reporting
Diabetes management on survival and diabetes-related
complications
Therefore, combined in a single programme of work
39. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
An investigation of the Quality and Outcomes
Framework (QOF) using the CPRD
Project 1 - indicator removal
Performance of GPs under the p4p scheme has been
quantified using indicators that express the percentage
of the patients for which the appropriate treatment, test,
examination etc was performed
Considering resources are fixed, in order to maximise
the benefit from the scheme, indicators would need to
be routinely replaced
However, we do not know what the effect of removal will
be on levels of performance
Three indicators were removed in 2006/7 and we will
investigate their performance over time
40. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
An investigation of the Quality and Outcomes
Framework (QOF) using the CPRD
Project 2 - Exception reporting
To protect patients from being discriminated against,
the scheme allows for practices to exclude patients
from the payment calculations for a variety of reasons
However, the true levels of this provision are unknown
since patients that have been excluded and for which
the respective clinical indicator has been ‘met’ are
included in the payment calculations
Using the CPRD we will
estimate the actual levels of exception reporting
investigate the profile of excluded patients
use the timing of exceptions to assess whether they
have been used appropriately
41. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
An investigation of the Quality and Outcomes
Framework (QOF) using the CPRD
Project 3 - Diabetes complications and survival
Diabetes is one of the conditions incentivised under the
QOF, through 17 clinical indicators
Some of these indicators are based on findings from
the UKPDS study which established the positive effects
of blood pressure, HbA1c and total cholesterol control
However, in that study only patients aged 25-65 were
enrolled, while various other patient exclusion criteria
were applied
Using the CPRD we will determine the effects for all
subgroups and would be able to control the analyses
for other important factors, such as co-morbidities
We will also investigate the effect of all the indicators on
survival and diabetes complications
42. School for
Primary Care
Research
Increasing the
evidence base for
primary care practice
Background
Concluded
work
Non-
incentivised
care
Diabetes
Current work
Something goes around something but
that's as far as I've got...
Comments and questions:
e.kontopantelis@manchester.ac.uk