Self-tracking is rapidly moving mainstream. This abbreviated presentation is an update of a version posted here last year, and was prepared for health & fitness professionals. More info & links to resources are available at: http://www.caroltorgan.com/track-share-compare/.
This presentation includes 2 videos that illustrate high- and low- tech self-tracking. The 2nd video (at the end) shows the power of self-tracking to provide a narrative of part of a person's life. Enjoy, and I welcome feedback! - Carol
Self tracking, Sensors, and mHealth: Trends and Opportunitiesctorgan
Mobile health (mHealth) offers the perfect platform to merge self-tracking communities and sensor technologies. Toss in the power of social networking capabilities, and you've put the trifecta of instantaneous 'track, share, and compare' at people's fingertips.
I suspect the news my smartphone will soon turn into my doctor is exaggerated. While a consultation with my phone will always be easier to arrange than an appointment with my GP, I know for a fact that even the techiest among us still want to see a living, breathing, qualified person when they’re under the weather.
I say this with confidence as this is one of the key findings from the first ever mHealth report by Ruder Finn. The report, based on a survey of more than 1,000 smartphone and tablet users, shows that while there’s an appetite for healthcare applications, and consumers generally love a good app, developers of health applications have not convinced the public of this kind of app’s value to them. The survey’s results show that apps for social media, games and news are the most popular with users of smartphones and tablets; healthy living apps languish in last place in terms of popularity.
The survey, conducted on our behalf by pollster YouGov, reveals some interesting links between type of device and the likelihood of the user to use health & lifestyle apps. The research suggests apps that help take away some of the pain associated with healthcare – booking appointments and getting hold of test results for example – are more popular than those to actually manage health. Our results suggested a great deal of caution around apps to help patients manage long term health conditions – significantly even among those suffering from chronic disease/ health problems. These findings may come as a disappointment to the World Health Organization, which along with The International Telecommunication Union (ITU), is launching an mHealth initiative to help combat noncommunicable diseases, based on the fact that mHealth is cost effective, scalable and sustainable.
In our survey, there is a difference between the generations and the impact that might have on app usage. While 75% of respondents between 25-34 owned a smartphone fewer than 30% in the 55+ category did. Although everyone accesses healthcare it’s usually the oldest among us who use it most. It will be interesting to see how usage patterns change as the gamers and Tweeters of today get older.
This presentation also contains slides from Prof. Christopher James
Professor of Healthcare Technology (University of Warwick) and
Director, Institute of Digital Healthcare; Dr Tom Barber
Associate Professor and Honorary Consultant Endocrinologist,
University of Warwick and UHCW NHS Trust and Owen Booth
Head of Content, Diabetes UK.
The event can be seen at the hashtag #rfmhealth too.
Self tracking, Sensors, and mHealth: Trends and Opportunitiesctorgan
Mobile health (mHealth) offers the perfect platform to merge self-tracking communities and sensor technologies. Toss in the power of social networking capabilities, and you've put the trifecta of instantaneous 'track, share, and compare' at people's fingertips.
I suspect the news my smartphone will soon turn into my doctor is exaggerated. While a consultation with my phone will always be easier to arrange than an appointment with my GP, I know for a fact that even the techiest among us still want to see a living, breathing, qualified person when they’re under the weather.
I say this with confidence as this is one of the key findings from the first ever mHealth report by Ruder Finn. The report, based on a survey of more than 1,000 smartphone and tablet users, shows that while there’s an appetite for healthcare applications, and consumers generally love a good app, developers of health applications have not convinced the public of this kind of app’s value to them. The survey’s results show that apps for social media, games and news are the most popular with users of smartphones and tablets; healthy living apps languish in last place in terms of popularity.
The survey, conducted on our behalf by pollster YouGov, reveals some interesting links between type of device and the likelihood of the user to use health & lifestyle apps. The research suggests apps that help take away some of the pain associated with healthcare – booking appointments and getting hold of test results for example – are more popular than those to actually manage health. Our results suggested a great deal of caution around apps to help patients manage long term health conditions – significantly even among those suffering from chronic disease/ health problems. These findings may come as a disappointment to the World Health Organization, which along with The International Telecommunication Union (ITU), is launching an mHealth initiative to help combat noncommunicable diseases, based on the fact that mHealth is cost effective, scalable and sustainable.
In our survey, there is a difference between the generations and the impact that might have on app usage. While 75% of respondents between 25-34 owned a smartphone fewer than 30% in the 55+ category did. Although everyone accesses healthcare it’s usually the oldest among us who use it most. It will be interesting to see how usage patterns change as the gamers and Tweeters of today get older.
This presentation also contains slides from Prof. Christopher James
Professor of Healthcare Technology (University of Warwick) and
Director, Institute of Digital Healthcare; Dr Tom Barber
Associate Professor and Honorary Consultant Endocrinologist,
University of Warwick and UHCW NHS Trust and Owen Booth
Head of Content, Diabetes UK.
The event can be seen at the hashtag #rfmhealth too.
Sleep Tech: An Ecosystem of Electric Sleep - Daniel Ruppar, Frost & Sullivan ...Jill Gilbert
Sleep Tech: An Ecosystem of Electric Sleep
Sleep technology is emerging as one of digital health’s most promising verticals, yet there are still many unknowns surrounding adoption potential and total aspects of life integration. The future can evolve as a multi-component experience for consumers, integrating various sensor markets, digital health, connected home, and other concepts as well as other stakeholders in a care team gleaning insight from a person’s sleep experience. An important question is where do the opportunities lie in the consumer and clinical space? Join one of today’s leading digital health analysts as he shares insights and predictions on the sleep technology market.
ORIGINAL RESEARCHpublished 08 December 2015doi 10.3389.docxgerardkortney
ORIGINAL RESEARCH
published: 08 December 2015
doi: 10.3389/fpsyg.2015.01864
Frontiers in Psychology | www.frontiersin.org 1 December 2015 | Volume 6 | Article 1864
Edited by:
Rachel M. Msetfi,
University of Limerick, Ireland
Reviewed by:
John R. E. Fox,
Royal Holloway, University of London,
UK
Noelle Fitzgerald,
Health Service Executive, Ireland
*Correspondence:
Gilly Koritzky
[email protected]
Specialty section:
This article was submitted to
Psychopathology,
a section of the journal
Frontiers in Psychology
Received: 30 August 2015
Accepted: 17 November 2015
Published: 08 December 2015
Citation:
Koritzky G, Rice C, Dieterle C and
Bechara A (2015) The Biggest Loser
Thinks Long-Term: Recency as a
Predictor of Success in Weight
Management. Front. Psychol. 6:1864.
doi: 10.3389/fpsyg.2015.01864
The Biggest Loser Thinks Long-Term:
Recency as a Predictor of Success in
Weight Management
Gilly Koritzky1*, Chantelle Rice2, Camille Dieterle2 and Antoine Bechara1, 3, 4
1 American School of Professional Psychology, Argosy University, Orange County, Orange, CA, USA, 2 Division of
Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA, 3 Department of
Psychology, University of Southern California, Los Angeles, CA, USA, 4 Department of Neurology, University of Iowa, Iowa
City, IA, USA
Only a minority of participants in behavioral weight management lose weight significantly.
The ability to predict who is likely to benefit from weight management can improve
the efficiency of obesity treatment. Identifying predictors of weight loss can also reveal
potential ways to improve existing treatments. We propose a neuro-psychological
model that is focused on recency: the reliance on recent information at the expense
of time-distant information. Forty-four weight-management patients completed a
decision-making task and their recency level was estimated by a mathematical model.
Impulsivity and risk-taking were also measured for comparison. Weight loss was
measured in the end of the 16-week intervention. Consistent with our hypothesis,
successful dieters (n = 12) had lower recency scores than unsuccessful ones (n = 32;
p = 0.006). Successful and unsuccessful dieters were similar in their demographics,
intelligence, risk taking, impulsivity, and delay of gratification. We conclude that dieters
who process time-distant information in their decision making are more likely to
lose weight than those who are high in recency. We argue that having low recency
facilitates future-oriented thinking, and thereby contributes to behavior change treatment
adherence. Our findings underline the importance of choosing the right treatment for
every individual, and outline a way to improve weight-management processes for more
patients.
Keywords: Iowa Gambling Task, obesity, weight management, recency, weight loss, decision making, long term
thinking, Expectancy-Valence model
INTRODUCTION
O.
MedicalResearch.com: Medical Research Interviews Month in ReviewMarie Benz MD FAAD
MedicalResearch.com powerpoint of exclusive interviews with medical researchers from NEJM, JAMA, BMJ, The Lancet and other major and specialty medical journals.
Keynote Presentation "Big Data, Value Analysis and Population Health Science at Mayo Clinic"
Ryan Uitti, M.D.
Professor of Neurology
Deputy Director
Center for the Science of Health Care Delivery
Mayo Clinic
Designing Causal Inference Studies Using Real-World DataInsideScientific
In this webinar, experts provide an overview of causal inference, along with step-by-step guidance to designing these studies using real-world healthcare data.
Causal inference is used to answer cause and effect research questions and yield estimates of effect. Causal study design considerations and statistical methods address the effects of confounding variables and other potential biases and allow researchers to answer questions such as, “Does treatment A produce better patient outcomes compared to Treatment B?”
Causal study interpretations have traditionally been restricted to randomized controlled trials; however, causal inference applied to observational healthcare data is growing in importance, driven by the need for generalizable and rapidly delivered real-world evidence to inform regulatory, payer, and patient/provider decision making. The application of causal inference methods leads to stronger and more powerful evidence. When these techniques are applied to observational data, the results generated are both from and for the real world.
Presenters walk through several real-world case studies including the PCORI-funded BESTMED study and a collaborative study with a prominent pharmacy payer.
In 2012 I spoke to this outstanding organization in York, PA, in Robert Wood Johnson Foundation's Aligning Forces for Quality program. Now we're getting back together to see how their work and the patient engagement and empowerment movement have both progressed, and what's next. First exploratory meeting.
Data drives company outcomes - employers agree analytics are a key factor in strategic planning. Customizing wellness solutions that has turned science fiction into science. Employees biometrics and genomics - sequencing the genome - drives choosing individualized wellness coaching. Health solutions - providing a path of sustainability and adherence - scientific, engaging, redefining individualized - And we make it affordable. Employee health programs - what a wonderful way to build healthier communities - establish lifestyle habits creating a healthier future for our children. We can manage & prevent chronic illnesses - saving lives and money - investing the money for happier, bigger, better futures.
Wearable tech for animals is becoming big business. A look at market niches, examples, and what the future will bring. Quantified self is evolving to Quantified Earth.
What movement patterns across our planet would you monitor? Why and how?
A list of references and resources is available at http://caroltorgan.com/animals-wearable-tech-quantified-earth/
The Future of Activity Monitoring: Innovating Beyond Steps, Sleep, and Speedctorgan
What will the future of activity monitoring bring? What are some new and novel applications? Where is there potential for new commercial partnerships and collaborations? In this invited presentation, I explore how we might interact with movement-tracking sensors in the future and consider novel relationships that cross design, data, functionality, experience, and even species.
More Related Content
Similar to Track, Share and Compare: The Hot Trend of Self-Tracking
Sleep Tech: An Ecosystem of Electric Sleep - Daniel Ruppar, Frost & Sullivan ...Jill Gilbert
Sleep Tech: An Ecosystem of Electric Sleep
Sleep technology is emerging as one of digital health’s most promising verticals, yet there are still many unknowns surrounding adoption potential and total aspects of life integration. The future can evolve as a multi-component experience for consumers, integrating various sensor markets, digital health, connected home, and other concepts as well as other stakeholders in a care team gleaning insight from a person’s sleep experience. An important question is where do the opportunities lie in the consumer and clinical space? Join one of today’s leading digital health analysts as he shares insights and predictions on the sleep technology market.
ORIGINAL RESEARCHpublished 08 December 2015doi 10.3389.docxgerardkortney
ORIGINAL RESEARCH
published: 08 December 2015
doi: 10.3389/fpsyg.2015.01864
Frontiers in Psychology | www.frontiersin.org 1 December 2015 | Volume 6 | Article 1864
Edited by:
Rachel M. Msetfi,
University of Limerick, Ireland
Reviewed by:
John R. E. Fox,
Royal Holloway, University of London,
UK
Noelle Fitzgerald,
Health Service Executive, Ireland
*Correspondence:
Gilly Koritzky
[email protected]
Specialty section:
This article was submitted to
Psychopathology,
a section of the journal
Frontiers in Psychology
Received: 30 August 2015
Accepted: 17 November 2015
Published: 08 December 2015
Citation:
Koritzky G, Rice C, Dieterle C and
Bechara A (2015) The Biggest Loser
Thinks Long-Term: Recency as a
Predictor of Success in Weight
Management. Front. Psychol. 6:1864.
doi: 10.3389/fpsyg.2015.01864
The Biggest Loser Thinks Long-Term:
Recency as a Predictor of Success in
Weight Management
Gilly Koritzky1*, Chantelle Rice2, Camille Dieterle2 and Antoine Bechara1, 3, 4
1 American School of Professional Psychology, Argosy University, Orange County, Orange, CA, USA, 2 Division of
Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA, 3 Department of
Psychology, University of Southern California, Los Angeles, CA, USA, 4 Department of Neurology, University of Iowa, Iowa
City, IA, USA
Only a minority of participants in behavioral weight management lose weight significantly.
The ability to predict who is likely to benefit from weight management can improve
the efficiency of obesity treatment. Identifying predictors of weight loss can also reveal
potential ways to improve existing treatments. We propose a neuro-psychological
model that is focused on recency: the reliance on recent information at the expense
of time-distant information. Forty-four weight-management patients completed a
decision-making task and their recency level was estimated by a mathematical model.
Impulsivity and risk-taking were also measured for comparison. Weight loss was
measured in the end of the 16-week intervention. Consistent with our hypothesis,
successful dieters (n = 12) had lower recency scores than unsuccessful ones (n = 32;
p = 0.006). Successful and unsuccessful dieters were similar in their demographics,
intelligence, risk taking, impulsivity, and delay of gratification. We conclude that dieters
who process time-distant information in their decision making are more likely to
lose weight than those who are high in recency. We argue that having low recency
facilitates future-oriented thinking, and thereby contributes to behavior change treatment
adherence. Our findings underline the importance of choosing the right treatment for
every individual, and outline a way to improve weight-management processes for more
patients.
Keywords: Iowa Gambling Task, obesity, weight management, recency, weight loss, decision making, long term
thinking, Expectancy-Valence model
INTRODUCTION
O.
MedicalResearch.com: Medical Research Interviews Month in ReviewMarie Benz MD FAAD
MedicalResearch.com powerpoint of exclusive interviews with medical researchers from NEJM, JAMA, BMJ, The Lancet and other major and specialty medical journals.
Keynote Presentation "Big Data, Value Analysis and Population Health Science at Mayo Clinic"
Ryan Uitti, M.D.
Professor of Neurology
Deputy Director
Center for the Science of Health Care Delivery
Mayo Clinic
Designing Causal Inference Studies Using Real-World DataInsideScientific
In this webinar, experts provide an overview of causal inference, along with step-by-step guidance to designing these studies using real-world healthcare data.
Causal inference is used to answer cause and effect research questions and yield estimates of effect. Causal study design considerations and statistical methods address the effects of confounding variables and other potential biases and allow researchers to answer questions such as, “Does treatment A produce better patient outcomes compared to Treatment B?”
Causal study interpretations have traditionally been restricted to randomized controlled trials; however, causal inference applied to observational healthcare data is growing in importance, driven by the need for generalizable and rapidly delivered real-world evidence to inform regulatory, payer, and patient/provider decision making. The application of causal inference methods leads to stronger and more powerful evidence. When these techniques are applied to observational data, the results generated are both from and for the real world.
Presenters walk through several real-world case studies including the PCORI-funded BESTMED study and a collaborative study with a prominent pharmacy payer.
In 2012 I spoke to this outstanding organization in York, PA, in Robert Wood Johnson Foundation's Aligning Forces for Quality program. Now we're getting back together to see how their work and the patient engagement and empowerment movement have both progressed, and what's next. First exploratory meeting.
Data drives company outcomes - employers agree analytics are a key factor in strategic planning. Customizing wellness solutions that has turned science fiction into science. Employees biometrics and genomics - sequencing the genome - drives choosing individualized wellness coaching. Health solutions - providing a path of sustainability and adherence - scientific, engaging, redefining individualized - And we make it affordable. Employee health programs - what a wonderful way to build healthier communities - establish lifestyle habits creating a healthier future for our children. We can manage & prevent chronic illnesses - saving lives and money - investing the money for happier, bigger, better futures.
Similar to Track, Share and Compare: The Hot Trend of Self-Tracking (20)
Wearable tech for animals is becoming big business. A look at market niches, examples, and what the future will bring. Quantified self is evolving to Quantified Earth.
What movement patterns across our planet would you monitor? Why and how?
A list of references and resources is available at http://caroltorgan.com/animals-wearable-tech-quantified-earth/
The Future of Activity Monitoring: Innovating Beyond Steps, Sleep, and Speedctorgan
What will the future of activity monitoring bring? What are some new and novel applications? Where is there potential for new commercial partnerships and collaborations? In this invited presentation, I explore how we might interact with movement-tracking sensors in the future and consider novel relationships that cross design, data, functionality, experience, and even species.
Leonardo da Vinci is credited with creating the pedometer, making him the father of wearable technology. How would his famous Vitruvian Man look today if he was outfitted with wearables?
What do you think of the balance of form and function? What would da Vinci think?
20 Predictions for the Future of Wearables and Trackingctorgan
“Wearables” has become a trendy buzzword. But how much of the wearable tech is really wearable? When will we move beyond devices that track steps and calories? What characteristics do wearables need to lead to behavior change and to improve health outcomes? What’s hype and what’s backed by hard evidence?
Here’s a look at where I see the field headed in the future. Where do you see it headed? I'd love to hear your thoughts!
Health and Fitness App Use, Evaluation and Opportunitiesctorgan
This tutorial presentation was given by invitation at the annual meeting of the American College of Sports Medicine and World Congress on Exercise is Medicine. We welcome comments, questions, and ideas regarding this fast moving area.
What if Wearable Tech was like Press-on Nails?ctorgan
Imagine if wearable tech was more wearable, like press-on nails and fingernail polish. A look into the future at what wearable tech might become, what tech can learn from the press-on nails market, what sensor technology currently exists, and what trackers we might have in the future.
Communicating Evidence-Based Health & Wellness Information: 8 Tips & 8 Hot To...ctorgan
This presentation, which was given by invitation at a fitness blogger summit:
- highlights the huge reach of fitness and health bloggers
- provides 8 tips to ensure your content is accurate
- shares several new audience and outreach opportunities
- reveals 8 hot topics that you should keep an eye on
The world of activity tracking is changing. In the future, instead of tracking if you are moving, you'll track how and why you are moving.
There are numerous implications, including gaming, sports performance, performance art, robotics, rehab, ergonomics, patient monitoring, and more. There are 6 videos in this presentation.
Thanks for viewing; where do you think the future is headed?
The Human Microbiome in Sports Performance and Healthctorgan
Because our knowledge of the human microbiome is moving so rapidly, we turned our presentation at this conference into a discussion session so experts in the audience could share their professional knowledge and personal experience. By the end of the session, it was clear that we had barely scratched the surface of the importance of our microscopic kin to our health, to sports performance, and to how we need to think about designing research studies. A list of recommended resources is available at: www.caroltorgan.com/microbiome-sports/. We welcome your input!
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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 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
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
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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
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Prix Galien International 2024 Forum ProgramLevi Shapiro
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- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
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- GENE THERAPY
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- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
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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.
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!
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