Friday, January 19, 2018

Social Determinants of Health

Social Determinants of Health (SDH) are being recognized as important factors in people health and well-being. They include:
  • Economic stability: Poverty, employment, food insecurity, housing instability
  • Education: Language and literacy, early childhood education and development
  • Social and community: Social cohesion, civic participation, discrimination, incarceration
  • Neighborhood and built environment: Access to foods that support healthy eating patterns, quality of housing, crime and violence, environmental conditions
  • Health and healthcare: Access to quality healthcare; health literacy.
I’ve been thinking about a useful way to examine SDH in terms of prevention and treatment of health problems that requires patient self-management and engagement.

It seems to me that a good way to begin is by answering two basic questions: What would be the current reality IDEALLY? How does the current reality DIFFER from the ideal and why? How can current realities be transformed to be more reflective of the ideal.

How’s this for a start – Ideally, everyone should:
  • Understand their health risks, problems, and suitable ways to deal them
  • Have healthy eating patterns and healthy foods
  • Exercise properly in a suitable place
  • Access a PCP for physical exams, health risk assessments, advice, treatments, referrals
  • Have a multidisciplinary care team (as needed) who follow a care plan that improves physical and psychological health through high-value methods
  • Have beliefs, emotions and behaviors that result in wise health-related decisions and beneficial actions • Monitor themselves
  • Deal with distressing life problems rationally and effectively
  • Live in a safe neighborhood with low crime, healthy environmental conditions, and stable housing
  • Have competent, compassionate care givers (formal and informal)
  • Have good social support from family, friends, community, etc.
Determining what can be done to overcome the obstacles to the ideal should consider the positive and negative qualities of human nature and cultural values, as well as biomedical factors.

Design Thinking for Health IT

Design Thinking is a recent topic discussed on the AMA's Physician Innovation Network. Following is a comment I posted there.

We have been using design thinking since the 1980s, before I knew what design thinking is. As a practicing clinical psychologist with an strong interest in IT, I envisioned that computers could be used to collect and analyze patient-generated data to help with treatment planning and delivery, as well as outcomes evaluation. I’ve been working for the past three decades to develop and evolve health IT apps through an intuitive process that closely mirrors the five-step design thinking model:

1. Empathize. Through my clinical training, research, observation and questioning my patients, I gained understanding of the information patients could provide and computers could use to support clinical decisions aimed at behavioral and emotional change.
2. Define. This understanding led to insights that defined possible health IT solutions.
3. Ideate. I used these insights to develop more detailed ideas about these defined solutions and discussed them with my patients and colleagues.
4. Prototype. I built prototypes based on these ideas and showed them to others for their feedback.
5. Test. I continually tested and refined the prototypes based on my own observations, assessments, and feedback from others.

This process yielded important benefits. One was my realization our solution should extend to address the relationship between physiological and psychosocial factors since people’s thoughts, emotions and behaviors can affect their physical health and biomedical symptoms can present as psychological problems. As such, I developed a biopsychosocial ontology that categorized and associated physiological/biomedical and psychological concepts; it provided a blueprint that we used to incorporate medical and psychosocial data within the solution. Related benefits are that this solution is relevant to social determinants of health (SDH), and to patient engagement and activation.
We now plan to offer this solution in an open environment for its continued evolution through collaborative design thinking processes.

Practices for Comprehensive Health IT Systems

Following are practices for developing comprehensive health IT systems.

Something I realized early on is that such systems should be flexible enough to continually adapt to new healthcare knowledge and concepts; data models; value sets; data format, terminology and transport standards; use cases; workflows; and diverse user needs.

It should be able to accommodate the needs of PCPs and all clinical specialties, approaches and user roles, as well as patients, with highly useful and useable tools.

It should be able to work in centralized, distributed, point-to-point, and tightly- and loosely-coupled networks using client-server and standalone (desktop) tools.

It should be able to leverage cloud-based storage and computing (all flavors), as well as the local resources of untethered devices that may connect to the internet occasionally.

It should be able to work with third-party tools that provide additional relevant capabilities.

And if it provides decision support, it should focus on enabling knowledge-feedback loops among diverse groups of collaborators who build, share and refine models aimed at continually increasing the value of care patients receive through systematic process and outcomes research that cross organizational and geopolitical boundaries. These models should include ones that focus on the whole person (biomedical and psychosocial), social determinants of health (SDH), precision medicine, clinical workflows, population health, finances, and prevention (wellness care) as well as treatment and self-maintenance of chronic conditions.

Wednesday, January 10, 2018

Is the Biopsychosocial Approach a Scientific Model?

The biopsychosocial (BPS) model integrates a full range of biological, psychological, and sociocultural perspectives. A Critical Review of the Biopsychosocial Model states that BPS “provides a blueprint for research, a framework for teaching, and a design for action in the real world of health care…[However, science] operates within a system that asserts there is nothing in the universe beyond matter and energy interacting in a time/space matrix...[and] we don't have a rational, empirical way of investigating non-observables...this restrictive view excludes from scientific consideration a great deal of what we regard as quintessentially human.”

Furthermore, scientific models must have “true predictive value…[e.g., predicting] a man's psychological state from his biological data or vice versa [and it must unite ] the disparate elements of human life in such a way as to legitimize a holistic approach [in which] materialism involves more than just matter and energy. Today, we accept that information, its transfer and manipulation…is a material matter…[so] manipulation of brain-based information…is a materialist theory of mind.”

As such, BPS can be considered a scientific model. I contend it also has predictive ability, e.g.: