Healthcare Quality Lessons

Caring for Quality in Health

An OECD report provides the lessons on caring for quality, quite general but of interest to dive into each one:

Lesson 1. High-performing health care systems offer primary care as a specialist service
that provides comprehensive care to patients with complex needs
Lesson 2. Patient-centred care requires more effective primary and secondary prevention
in primary care
Lesson 3. High-quality mental health care systems require strong health information systems
and mental health training in primary care
Lesson 4. New models of shared care are required to promote co-ordination across health
and social care systems
Lesson 5. A strong patient voice is a priority to keep health care systems focussed
on quality when financial pressures are acute
Lesson 6. Measuring what matters to people delivers the outcomes that patients expect
Lesson 7. Health literacy helps drive high-value care
Lesson 8. Continuous professional development and evolving practice maximise
the contribution of health professionals
Lesson 9. High-performing health care systems have strong information infrastructures
that are linked to quality-improvement tools
Lesson 10. Linking patient data is a pre-requisite for improving quality across pathways
of care
Lesson 11. External evaluation of health care organisation needs to be fed into continuous
quality-improvement cycles
Lesson 12. Improving patient safety requires greater effort to collect, analyse and learn
from adverse events 

It is like a check list, have you done your homework?

Searching for a book to read

Manel Castro

Precision medicine initivatives around the world

Human genomics projects and precision medicine

Governments and research funders in developed world have decided to support precision medicine with different initiatives. Its scope and strenght it is quite diverse. It is good to know what's going on, and this is explained in an article in Nature. A data driven medicine is raising with next generation sequencing (NGS) tools:

The tremendous amount of data that NGS technologies are producing and the difficulties to manage and analyze such quantity of data require the implementation of powerful data centers for storage and analysis. Nevertheless, recent improvements in cloud computing allow managing and analyzing these huge data amounts remotely. With this goal in mind, the main internet companies have taken positions to compete in this area of NGS (data storage and analysis).
As three main examples, Google Genomics, Microsoft Genomics and Amazon Web Services (AWS) Genomics In The Cloud allow researchers to store, process, explore, and share large and complex data sets. The idea behind is to provide userfriendly tools to the researchers.

But finally it is no only for researchers, there will be one day that will be applied by clinicians. The whole article worths to be read.

Lita Cabellut. Barcelona exhibition

Beyond precision medicine: high definition medicine

High-Definition Medicine

Some months ago I was posting on medicine as a data science. Now:

The foundation for a new era of data-driven medicine has been set by recent  technological advances that enable the assessment and management of human health at an unprecedented level of resolution—what we refer to as high-definition medicine. Our ability to assess human health in high definition is enabled, in part, by advances in DNA sequencing, physiological and environmental monitoring, advanced imaging, and behavioral tracking. Our ability to understand and act upon these observations at equally high precision is driven by advances in genome editing, celular reprogramming, tissue engineering, and information technologies, especially artificial intelligence.

This is what high definition medicine is about:

the dynamic assessment, management, and understanding of an individual’s health measured at (or near) its most basic units. It is the data-driven practice of medicine through the utilization of these highly detailed, longitudinal, and multi-parametric measures of the determinants of health to modify disease risk factors, detect disease processes early, drive precise and dynamically adjusted interventions, and determine preventative and therapeutic intervention efficacy from real-world outcomes

In this framework, precision medicine is only a small piece of the engine.

The article published in Cell by scholars from Scripps Translational Science Institute sheds light on the new perspectives of the practice of medicine, a milestone on the current knowledge of life sciences and its application.

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Catalunya, 1 d'octubre de 2017 · .

Bloody Sunday

Bloody Sunday, Oct 1st, 2017

BBC
Le Monde

Rafael Subirachs 41 years ago - Els segadors - Anthem (1640)

One of the biggest financial scandals of all-time (and remains unsolved)

The LIBOR scandal involved the illegal fixing of this rate. Banks would over or under-report the rate so as to benefit them – making tons of cash in the process. Raise the rate a few basis points, and suddenly you’ve made an extra $200 million dollars in two minutes.
The size of fines for banks up to now is  €9 billion, and the most surprising thing is that it is still working as before. VoxEU explains

You might think that after this costly scandal, and knowing challenges of maintaining LIBOR, market participants and regulators would have quickly replaced LIBOR with a sustainable short-term interest rate benchmark that had little risk of manipulation. You’d be wrong. The current administrator (ICE Benchmark Administration), which replaced the BBA in 2014, estimates that this guide (now called ICE LIBOR) continues to serve as the reference interest rate for “an estimated $350 trillion of outstanding contracts in maturities ranging from overnight to more than 30 years"
In short, LIBOR is still the world’s leading benchmark for short-term interest rates

Sounds incredible but it is true. I'm reading the book: The spider network and it reports the worst professional financial practices that you can imagine. Where is the regulator? The european one is on vacation, for sure.

Public Health and behaviour change

Behavioral Epidemiology. Principles and Applications

It is quite surprising that a new book on Behavioral Epidemiology forgets Tversky and Kahneman, or Thaler. I couldn't find any reference to their works. After all these decades it seems that their works should be taken into account. Epidemiology and Public Health need to review its foundations, basically its rational decision making paradigm that has been their foundations.
I thought that this book could help, but finally I saw that only the first chapters are partially of interest. We'll have to wait.

Health in all policies narrative

Engagement of Sectors Other than Health in Integrated Health Governance, Policy, and Action

A good review on the topic is welcome. You'll find this article in Annual Reviews of Public Health. If health is created largely outside the health sector, engagement in health governance, policy, and intervention development and implementation by sectors other than health, is therefore important. I have reviewed this topic earlier, but I suggest a close look at it and its assumptions:

(a) Health is created largely outside the health care (or disease) sector; (b) the health care (or disease) sector, however, often carries social ownership of all health issues, even when they are beyond its control; (c) the health sector itself is a reproduction of (power) divisions in the public and private sectors and, while calling for integration, is itself fragmented; and (d) calls for broad social engagement with integrated research, policy, action, and governance for health may not align well with assumptions a–c.

The purpose of the article is to provide an evidence-based overview of how broad social engagement in health policy, action, and governance can be initiated, developed, and sustained.

 In Barcelona Caixaforum, right now.