Skip to main content

Intention-Behavior Gaps in HIV Care


Last week at the bi-annual Ryan White Program Conference on HIV Care and Treatment, HIV care providers from across the country heard from the U.S. Secretary for Health and Human Services (DHHS), the head of the Health Resources and Services Administration (HRSA), and the head of the National Institute for Allergy and Infectious Diseases at NIH. These experts highlighted a central fact of the HIV epidemic, which is that it has for the past 20 years been as much a result of gaps between intention and behavior as it has been a medical crisis. The HIV treatment cascade shown here illustrates the patient behaviors needed to successfully manage this chronic disease. First, people at risk for HIV can avoid infection through appropriate prevention behaviors, like using condoms or taking pre-exposure prophylaxis (PrEP) medications. Once people are infected with HIV, they need to be tested in order to initate treatment. Then they must be linked to the care system, a barrier for younger people who may never have been involved with routine health care for a chronic condition. Once engaged in care, they must remain in care over time, and in order to gain the benefits of treatment they must stay adherent to medication. Each of these steps in the treatment cascade is one where patients' intentions may not match their behaviors, resulting in unnecessary health problems, gaps in care, or even treatment failure.  Successfully supporting patients with each of these behaviors also requires health care practitioners to change behaviors, such as always testing for HIV or following up intensively when patients miss an appointment.  Behavior change is a key to successful treatment in HIV and other chronic diseases.

Comments

Popular posts from this blog

Prototypes and Willingness: The Theory of Planned Behavior Revisited

  You may recall my blog post from last year on the Theory of Planned Behavior (TPB) , titled "in praise of a failed model." My evaluation of this model was that it accurately describes the Narrative Mind, which does control intentions. But the ultimate goal of the TPB is to predict behavior, and the relationship between intentions and behavior is weak at best -- in fact, it is entirely attributable to the fact that when someone says they don't intend to do something, they probably won't do it. When they say they do intend to do it, their actual results are no better than chance, a result of the intention-behavior gap as described in Two Minds Theory.  The full TPB is shown in this diagram: Cognitive constructs like attitudes, subjective norms, and perceived behavioral control (i.e., self-efficacy) are Narrative-system phenomena, and they do indeed have relationships with each other and with intentions (which are also products of the Narrative Mind). Perceived behavi...

New Study Suggests That Fatigue is Most Detrimental for the Narrative Mind

I'm one of the authors on a new study by Dr. Mustafa Ozkaynak's research team, which looks at how emergency department (ED) nurses change their decision-making process when they become fatigued. In a previous paper , we found that fatigue was common in ED nurses, particularly toward the end of their work shift, and that nurses' fatigue was more often characterized as physical rather than mental or emotional -- in other words, this really represented being physically tired  at the end of the day, not being burned-out or depressed. Nevertheless, physical fatigue has important effects on nurses' decision-making in the ED. Based on nurses' qualitative reports, fatigue has mixed effects on their clinical performance. Nurses said that they definitely cut corners when they were tired, for example in terms of documentation in the electronic health record. They felt that they were less careful about double-checking things, and might be more likely to make snap decisions. We...

Is AI Out to Get Us?

 I wrote earlier this year about a disturbing report on the prospects of self-improving artificial intelligence (AI) models deciding to take over the world. Much of the fear around AI relates to something called the "alignment problem," which simply means that an AI model might have goals incompatible with human flourishing -- or in some dystopian scenarios, with human life itself. A classic example of this line of thought is the "paper clip problem," in which a superintelligent AI is tasked with making paper clips. Eventually every resource in the world -- including human beings -- becomes just another obstacle for it to overcome in its goal of transforming the entire universe into paper clips. So far, that's not the danger -- AI models don't have that level of direct control over the physical world (yet). But a couple of new developments in the past few months do  suggest that AI models are pursuing goals different from what their human designers might w...