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Observations of Daily Living (ODLs) and Patient Engagement

By Julie Murchinson | Tuesday, April 6th, 2010
Julie Murchinson

By Julie Murchinson. The Robert Wood Johnson Foundation-funded program, Project HealthDesign, is pursuing the identification, interpretation and integration of observations of daily living (ODLs). As defined by Project HealthDesign, ODLs are sensations, feelings-thoughts-attitudes, and behaviors that occur in the course of everyday life – such as sleep patterns, diet, exercise levels, pain episodes, and mood – that are not typically part of one’s clinical record, but are critical to managing an individual’s health and guiding their treatment.

During the recent Project HealthDesign workshop, I was struck by the question of what ODLs have the potential to do to engage patients in their health. Will ODLs be the patient’s true representation of issues they own and manage as part of their health or will they be factoids about patients that doctors use but patients don’t truly own? Will ODLs management come naturally or will managing them be an arduous task for the unfortunate individuals who may “need” to manage them? Will doctors be able to synthesize ODLs into clinical practice or will they be too overwhelmed to incorporate another set of information they may not know how to handle or not be remimbursed to pay attention to?  Will ODLs evolve with medical research such that they will be taken into consideration as part of future discovery or will ODLs always be an afterthought left to discovery at the point of care?  Much remains unknown about the fate of ODLs, but there is strong potential for ODLs to be the patient engagement hook in the years to come.

Three big “ah-ha’s” came this week as I listened to grantees develop, describe and integrate ODLs into their research project plan.

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Drug Adherence Tools That Meet Patients Where They Are

By Julie Murchinson | Monday, November 9th, 2009
Julie Murchinson

Julie MurchinsonThe following guest post on the subject of drug adherence is written by Julie Murchinson, Founder, Health 2.0 Accelerator and Managing Director with Manatt Health Solutions.

The tools are coming! The tools are coming! For a while now, tools to manage drug adherence have been developed, many designed to enable the patient to self-manage in the context of and in collaboration with the health care system from a specifically designed device or heavy application. Patient adoption, however, has been slow and the vision for self-management of drug adherence not yet reality. But recently from the budding Health 2.0 space, we are seeing tools built on more accessible web and mobile platforms that allow patients to manage when and where they want to with their mobile device (e.g. iPhone, Blackberry, cell phone). So, in much the same way many people’s lives have changed as a result of being able to use Facebook or Twitter, or read the Washington Post from their phones on the bus or out at lunch, patients who have previously required proximity to their home device or desktop to log medications taken can now not only track on their phone what they take from their pill box, but also take advantage of glow cap or smart label technologies that can technically interact with a phone-based mobile application.

It was one thing when the Brazilian government was sending text messages to remind women to take their birth control pills (which, by the way, has been highly effective), but we are in a new age of both passive and active patient engagement with mobile platforms. There are iPhone accessible apps like Polka and TheCarrot.com that enable patients to schedule and track their medications taken along with a number of other health topics including sleep, exercise and mood, among others. Medic8Manager provides an iPhone solution that goes a few steps deeper on drug adherence for managing scheduled medications with reminder functionality, refill tracking, missed dose alerts, as-needed meds and discontinued medications. A similar application in development from Informediq even uses the tagline, “enabling healthcare anywhere”. While some products are typically used solely by patients without involvement required from a physician or other caregiver, we are starting to see more user-friendly tools that originate from the physician-patient care process, while allowing for more consumer-friendly adherence tracking, a good example of which we are seeing from the new AdhereTx product. The next step in innovation can be seen from eMedMobile which facilitates a phone working with “smart labels” on prescription medication bottles that store drug data and send alerts to caregivers when a drug is missed.

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Comparative Effectiveness and the Patient's Role

By Julie Murchinson | Wednesday, July 1st, 2009
Julie Murchinson

Julie MurchinsonToday’s guest post by Julie Murchinson, Executive Director, Health 2.0 Accelerator, is the final installment in the Disruptive Women Comparative Effectiveness Research smackdown.

Stay Tuned: We will be creating and widely distributing a CER e-book.

The HHS Federal Coordinating Council for CER research posted its report to Congress and the President on Monday describing federal activities on CER. Another report with actual priority suggestions is due to Congress by the end of July. On Tuesday, the Institute of Medicine released their sage advice about the top 100 priorities as well as a report on CER. I found one line, in particular, of extreme importance from the report to Congress:

“National Institutes of Health (NIH) diabetes prevention trial demonstrated that lifestyle change was superior to metformin and placebo in preventing onset of type 2 diabetes.”

Although an extremely complex and closely watched effort across the private sector, this line is the crux of the issue of success for such an endeavor. Of the entire IOM report, I found the following meaningful:

“Compare the effectiveness of traditional behavioral interventions versus economic incentives in motivating behavior changes (e.g., weight loss, smoking cessation, avoiding alcohol and substance abuse) in children and adults.”

How do we know how much the patient – their genomic and proteomic make-up, their lifestyle choices, their home environment, the food they eat, the exercise they do, the sangria they drank last night, the choices they make, the levers that influence their behavior – impacts our ability to understand the health outcomes and economic value of clinical interventions such as medications, procedures or clinical delivery system strategies as proposed by comparative effectiveness research? (more…)