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Author: Brian S McGowan, PhD

ABSTRACT: E-Health innovations, collaboration, and healthcare disparities: Developing criteria for culturally competent evaluation.

E-Health alters how health care clinicians, institutions, patients, caregivers, families, advocates, and researchers collaborate. Few guidelines exist to evaluate the impact of social technologies on furthering family health and even less on their capacity to ameliorate health disparities. Health social media tools that help develop, sustain, and strengthen the collaborative health agenda may prove useful to ameliorate health care inequities; the linkage should not, however, be taken for granted. In this article we propose a classification of emerging social technologies in health care with the purpose of developing evaluative criteria that assess their ability to foster collaboration and positively impact health care equity. The findings are based on systematic Internet ethnographic observations, a qualitative analysis of e-health tool exemplars, and a review of the literature. To triangulate data collection and analysis, the research team consulted with social media health care experts in making recommendations for evaluation criteria. Selected cases illustrate the analytical conclusions. Lines of research that are needed to accurately rate and reliably measure the ability of social media e-health offerings to address health disparities are proposed.

via E-Health innovations, collaboration, and hea… [Fam Syst Health. 2013] – PubMed – NCBI.

Innovation rarely happens from within…

I was thrilled to recently hear from colleague and friend Neil Mehta, MBBS, MS from Cleveland Clinic Lerner College of Medicine that he was about to publish a “Perspective” piece in the journal Academic Medicine.

I have known Neil for some time and have had the pleasure of collaborating with him as a faculty member and as a learner (we engage quite frequently through Twitter chats: @Neil_Mehta), so it came as no surprise to me that he sees the world in much the same way I do. Neil was kind enough to send me his article – the abstract can be found here – for review.

Before I offer my comments on his work, first let me share the key elements of his perspective:

To advance solutions, the authors review innovations that are disrupting higher education and describe a vision for using these to create a new model for competency-based, learner-centered medical education that can better meet the needs of the health care system while adhering to the spirit of the above proposals. These innovations include:

  1. collaboration amongst medical schools to develop massive open online courses for didactic content;
  2. faculty working in small groups to leverage this online content in a “flipped-classroom” model; and
  3. digital badges for credentialing entrustable professional activities over the continuum of learning.

In many ways the ideas that Neil presents are perfectly aligned with those I describe in #socialQI: Simple Solutions for Improving Your Healthcare (see Chapter 9) and those I have written about in my Medical Meetings article from 2011, “Re-engineering the Data Stream from Meetings to Medical Practices” – though Neil does provide a bit more detail.

Neil begins by articulating the problem, and he pulls no punches:

A stark inventory of the shortcomings of the current model of medical education includes inefficiency, inflexibility, and lack of learner-centeredness. Current teaching models often depend on arcane assessment methods (e.g., multiplechoice examinations), and learning often focuses on test performance rather than developing professional competencies. Students’ grades in basic science courses and on clinical rotations, though a key factor in their selection for residency training, may not be based on direct observation or assessment of knowledge application and problem-solving ability. Thus, these grades likely do not reflect true skills, behaviors, and attributes needed to be an effective physician…basic science faculty face increasing pressure to obtain research funding in a highly competitive environment with declining funding resources. Productivity pressures limit clinical faculty members’ teaching time. Providing small-group instruction in either area is challenged by financial constraints on faculty growth.

And, Neil introduces this community to any number of models to learn from and adopt.

…the Khan Academy started in 2006 as a series of short YouTube videos created by an individual with a laptop and an Internet connection. Since then, the Khan Academy has grown into a series of over 3,300 video lessons that cover K–12 topics. Over 180 million lessons have been delivered to date. The site offers practice tests for skill building and resources for teachers to monitor their students’ progress and intervene if students get stuck.

 

…the concept of massive open online courses (MOOCs) was popularized by a group of learning researchers when a course on “Connectivism and Connected Knowledge” in 2008 attracted over 2,300 worldwide participants. The model of this MOOC was based on learners generating content by working collaboratively in social networks.

 

…previous generations of learning management systems faltered because they focused more on tracking and managing instruction and content, these new systems are student-centered …They aim to promote active, retrieval-based learning; customized feedback based on analysis of vast amounts of data created by students’ performance; real-time collaboration; and peer learning while also creating an experience mimicking one-on-one tutoring.

 

Badges encode metadata containing information such as the badge recipient’s name, the institution (or individual) awarding the badge, information about the endorser (i.e., the organization that certifies or approves the badge or the badge provider), information about what the recipient had to do to get the badge, and evidence that the recipient met the criteria to earn the badge. Thus, digital badges can provide concrete evidence of skills, achievements, and qualities in a more granular manner than traditional grades and degrees.

How can these movements help solve the resource problems facing medical education today? We could develop a central online collaborative learning environment for didactics, peer learning, and assessment of knowledge, instead of multiple medical schools teaching the same content at multiple sites. We could ensure multidisciplinary collaboration by building communities of learning. The vast numbers of students in these MOOCs would ensure that they would always have other students online at the same time helping to build a virtual, and most likely multidisciplinary, collaborative environment…Such a virtual  learning environment would help build an interprofessional community of practice that could lead to improved communication and collaboration in a team-based practice model of the future.

And perhaps the solution I like the most:

Students would be provided a list of knowledge, skills, attitudes, and behaviors that are required to demonstrate knowledge and mastery of skills at different levels through medical school and for graduation. Students could choose their badge providers and schedule their advancement through the curriculum guided by the parameters set by the medical school and ultimately by the accreditation bodies. Students could create custom paths for progressing through and augmenting their training…In this process, badges can be used to capture learning across the continuum of medical education and potentially enable tracking for the purpose of maintenance of licensure….No longer will a limited number of medical schools or faculty constrain our ability to educate medical students. Learning communities will form naturally, and students will need to take ownership of their education.

To be clear, having spent years arguing the strengths and weaknesses of Khan Academy or ‘flipped’ classroom or MOOCs…I believe wholeheartedly that the current renditions for these models will NOT be the silver bullet we need in medical education – they are, more often than not, pedagologically unsound and, in ways, short-sighted in their innovation. But the innovations are fundamentally better than what we have today…and this is the point that Neil makes. Neil glances out at the what is happening in other realms of education and seems to see the opportunity that far too few see, flaws and all.

What is most impressive is that this vision of what may be comes from inside the house of medicine, and rarely do the problem and the solution arise from the same source. While Neil may not be your average clinician, and he is certainly not your average educator, he is by all accounts an ‘insider’ and a ‘champion of innovation.’ With this in mind, as I read his work I was left with one slightly derivative but all-too-critical question: ‘how do we ensure that more clinician educators think the way Neil thinks?’ Because it is unlikely that we will ever overcome the challenges that plague medical education (or healthcare more broadly) without ensuring that more clinician educators teach the way Neil wants us all to teach…

Let me know what you think?

Brian

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MANUSCRIPT: Misleading health-related information promoted through video-based social media: anorexia on YouTube.

INTRODUCTION:
The amount of information being uploaded onto social video platforms, such as YouTube, Vimeo, and Veoh, continues to spiral, making it increasingly difficult to discern reliable health information from misleading content. There are thousands of YouTube videos promoting misleading information about anorexia (eg, anorexia as a healthy lifestyle).
OBJECTIVE:
The aim of this study was to investigate anorexia-related misinformation disseminated through YouTube videos.
METHODS:
We retrieved YouTube videos related to anorexia using the keywords anorexia, anorexia nervosa, proana, and thinspo on October 10, 2011.Three doctors reviewed 140 videos with approximately 11 hours of video content, classifying them as informative, pro-anorexia, or others. By informative we mean content describing the health consequences of anorexia and advice on how to recover from it; by pro-anorexia we mean videos promoting anorexia as a fashion, a source of beauty, and that share tips and methods for becoming and remaining anorexic. The 40 most-viewed videos (20 informative and 20 pro-anorexia videos) were assessed to gauge viewer behavior.
RESULTS:
The interrater agreement of classification was moderate (Fleiss’ kappa=0.5), with 29.3% (n=41) being rated as pro-anorexia, 55.7% (n=78) as informative, and 15.0% (n=21) as others. Pro-anorexia videos were favored 3 times more than informative videos (odds ratio [OR] 3.3, 95% CI 3.3-3.4, P<.001).
CONCLUSIONS:
Pro-anorexia information was identified in 29.3% of anorexia-related videos. Pro-anorexia videos are less common than informative videos; however, in proportional terms, pro-anorexia content is more highly favored and rated by its viewers. Efforts should focus on raising awareness, particularly among teenagers, about the trustworthiness of online information about beauty and healthy lifestyles. Health authorities producing videos to combat anorexia should consider involving celebrities and models to reach a wider audience. More research is needed to study the characteristics of pro-anorexia videos in order to develop algorithms that will automatically detect and filter those videos before they become popular.
PMID: 23406655 [PubMed – indexed for MEDLINE] PMCID: PMC3636813 Free PMC Article

via Misleading health-related information pro… [J Med Internet Res. 2013] – PubMed – NCBI.

ABSTRACT: Web 2.0 chronic disease self-management for older adults: a systematic review.

BACKGROUND:
Participatory Web 2.0 interventions promote collaboration to support chronic disease self-management. Growth in Web 2.0 interventions has led to the emergence of e-patient communication tools that enable older adults to (1) locate and share disease management information and (2) receive interactive healthcare advice. The evolution of older e-patients contributing to Web 2.0 health and medical forums has led to greater opportunities for achieving better chronic disease outcomes. To date, there are no review articles investigating the planning, implementation, and evaluation of Web 2.0 chronic disease self-management interventions for older adults.
OBJECTIVE:
To review the planning, implementation, and overall effectiveness of Web 2.0 self-management interventions for older adults (mean age ≥ 50) with one or more chronic disease(s).
METHODS:
A systematic literature search was conducted using six popular health science databases. The RE-AIM (Reach, Efficacy, Adoption, Implementation and Maintenance) model was used to organize findings and compute a study quality score (SQS) for 15 reviewed articles.
RESULTS:
Most interventions were adopted for delivery by multidisciplinary healthcare teams and tested among small samples of white females with diabetes. Studies indicated that Web 2.0 participants felt greater self-efficacy for managing their disease(s) and benefitted from communicating with health care providers and/or website moderators to receive feedback and social support. Participants noted asynchronous communication tools (eg, email, discussion boards) and progress tracking features (eg, graphical displays of uploaded personal data) as being particularly useful for self-management support. Despite high attrition being noted as problematic, this review suggests that greater Web 2.0 engagement may be associated with improvements in health behaviors (eg, physical activity) and health status (eg, HRQoL). However, few studies indicated statistically significant improvements in medication adherence, biological outcomes, or health care utilization. Mean SQS scores were notably low (mean=63%, SD 18%). Studies were judged to be weakest on the Maintenance dimension of RE-AIM; 13 reviewed studies (87%) did not describe any measures taken to sustain Web 2.0 effects past designated study time periods. Detailed process and impact evaluation frameworks were also missing in almost half (n=7) of the reviewed interventions.
CONCLUSIONS:
There is need for a greater understanding of the costs and benefits associated with using patient-centered Web 2.0 technologies for chronic disease self-management. More research is needed to determine whether the long-term effectiveness of these programs is sustainable among larger, more diverse samples of chronically ill patients. The effective translation of new knowledge, social technologies, and engagement techniques will likely result in novel approaches for empowering, engaging, and educating older adults with chronic disease.

via Web 2.0 chronic disease self-management f… [J Med Internet Res. 2013] – PubMed – NCBI.

RESOURCE: The Flipped Classroom Guide for Teachers

Unlike the traditional classroom model, a Flipped Classroom puts students in charge of their own learning.  By providing lectures online, educators give students the opportunity to learn at their own pace. Once a student masters a concept, he can move on. Also, students who need more time to master a concept won’t get left behind.

This means all students are not working on the same area at the same time in and out of the classroom. In the Flipped Classroom environment, the teacher becomes the guide off to the side, acting as more of facilitator, helping and guiding small groups and individuals toward learning success.

via The Flipped Classroom Guide for Teachers.

MANUSCRIPT: Qualities of an effective teacher: what do medical teachers think?

Results
The top three desirable qualities of an effective teacher in our study were knowledge of
subject, enthusiasm and communication skills. Faculty with longer teaching experienced
ranked classroom behaviour/instructional delivery higher than their less experienced
counterparts. There was no difference of perspectives based on cultural background, gender
or discipline (medicine and dentistry).

Conclusion
This study found that the faculty perspectives were similar, regardless of the discipline,
gender and cultural background. Furthermore, on review of literature similar findings are
seen in studies done in allied medical and non-medical fields. These findings support
common teacher training programs for the teachers of all disciplines, rather than having
separate training programs exclusively for medical teachers. Logistically, this would make it
much easier to arrange such programs in universities or colleges with different faculties or
disciplines.

 

http://www.biomedcentral.com/content/pdf/1472-6920-13-128.pdf

MANUSCRIPT: Team-based learning for psychiatry residents: a mixed methods study

BACKGROUND:
Team-based learning (TBL) is an effective teaching method for medical students. It improves knowledge acquisition and has benefits regarding learner engagement and teamwork skills. In medical education it is predominately used with undergraduates but has potential benefits for training clinicians. The aims of this study were to examine the impact of TBL in a sample of psychiatrists in terms of classroom engagement, attitudes towards teamwork, learner views and experiences of TBL.
METHODS:
Forty-four psychiatry residents participated in an Addictions Psychiatry TBL module. Mixed-methods were used for evaluation. Self-rated measures of classroom engagement (Classroom Engagement Survey, CES) were compared with conventional lectures, and attitudes regarding the value of teams (Value of Teams Scale, VTS) were compared before and after the module. Independent t-tests were used to compare ‘lecture’ CES scores with TBL CES scores and pre and post scores for the VTS. Feedback questionnaires were completed. Interviews were conducted with a subset of residents and transcripts analysed using thematic analysis.
RESULTS:
Twenty-eight residents completed post-course measures (response rate 63.6%). Seven participants volunteered for qualitative interviews–one from each team. There was a significant difference in the mean CES score lectures compared to TBL (p < 0.001) but no difference was found in mean VTS score pre and post for either subscale (p = 0.519; p = 0.809). All items on the feedback questionnaire were positively rated except two regarding session preparation. The qualitative analysis generated seven themes under four domains: ‘Learning in teams’, ‘Impact on the individual learner’, ‘Relationship with the teacher’ and ‘Efficiency and effectiveness of the learning process’.
CONCLUSIONS:
In this group of residents, TBL significantly improved learner-rated classroom engagement and seemed to promote interactivity between learners. TBL was generally well-received, although required learners to prepare for class which was difficult for some. TBL did not change these clinicians’ views about teamwork.

via Team-based learning for psychiatry residents: a… [BMC Med Educ. 2013] – PubMed – NCBI.

ABSTRACT: Cost analyses approaches in medical education: there are no simple solutions

CONTEXT:
Medical education is expensive. Although we have made progress in working out ‘what works’ in medical education, there are few data on whether medical education offers value relative to cost. Research into cost and value in medical education is beset by problems. One of the major problems is the lack of clear definitions for many of the terms commonly used. Phrases such as cost-effectiveness analysis, cost-benefit analysis, cost-utility analysis and cost-feasibility analysis are used without authors explaining to readers what they mean (and sometimes without authors themselves understanding what they mean). Sometimes such terms are used interchangeably and sometimes they are used as rhetorical devices without any real evidence that backs up such rhetoric as to the cost-effectiveness or otherwise of educational interventions. The frequent misuse of these terms is surprising considering the importance of the topics under consideration and the need for precision in many aspects of medical education.
METHODS:
Here we define commonly used terms in cost analyses and give examples of their usage in the context of medical education.
CONCLUSIONS:
Cost-effectiveness analysis refers to the evaluation of two or more alternative educational approaches or interventions according to their costs and their effects in producing a certain outcome. Cost-benefit analysis refers to ‘the evaluation of alternatives according to their costs and benefits when each is measured in monetary terms’. Cost-utility analysis is the examination of two or more alternatives according to their cost and their utility. In this context, utility means the satisfaction among individuals as a result of one or more outcome or the perceived value of the expected outcomes to a particular constituency. Cost-feasibility analysis involves simply measuring the cost of a proposed intervention in order to decide whether it is feasible.

via Cost analyses approaches in medical education: ther… [Med Educ. 2013] – PubMed – NCBI.

ABSTRACT: A Clinician Performance Initiative to Improve Quality of Care for Patients with Osteoporosis

Abstract Background: Osteoporosis is a widespread but largely preventable disease. Improved adherence to screening and treatment recommendations is needed to reduce fracture and mortality rates. Additionally, clinicians face increasing demands to demonstrate proficient quality patient care aligning with evidence-based standards. Methods: A three-stage, clinician-focused performance improvement (PI) continuing medical education (CME) initiative was developed to enhance clinician awareness and execution of evidence-based standards of osteoporosis care. Clinician performance was evaluated through a retrospective chart analysis of patients at risk or with a diagnosis of osteoporosis. Results: Seventy-five participants reported their patient practices on a total of 1875 patients before and 1875 patients after completing a PI initiative. Significant gains were made in the use of Fracture Risk Assessment Tool (FRAX) (stage A, 26%, n=1769 vs. stage C, 51%, n=1762; p<0.001), assessment of fall risk (stage A, 46%, n=1276 vs. stage C, 89%, n=1190; p<0.001), calcium levels (stage A, 62%, n=1451 vs. stage C, 89%, n=1443; p<0.001), vitamin D levels (stage A, 79%, n=1438 vs. stage C, 93%, n=1439; p<0.001), and medication adherence (stage A, 88%, n=1136 vs. stage C, 96%, n=1106; p<0.001). Conclusions: Gains in patient screening, treatment, and adherence were associated with an initiative promoting self-evaluation and goal setting. Clinicians must assess their performance to improve patient care and maintain certification. PI CME is a valid, useful educational tool for accomplishing these standards

via A Clinician Performance Initiative… [J Womens Health (Larchmt). 2013] – PubMed – NCBI.

ABSTRACT: Preventive intervention in diabetes: a new model for continuing medical education

Competence and skills in overcoming clinical inertia for diabetes treatment, and actually supporting and assisting the patient through adherence and compliance (as opposed to just reiterating what they “should” be doing and then assigning them the blame if they fail) is a key component to success in addressing diabetes, and to date it is a component that has received little formal attention. To improve and systematize diabetes care, it is critical to move beyond the “traditional” continuing medical education (CME) model of imparting knowledge as the entirety of the educational effort, and move toward a focus on Performance Improvement CME. This new approach does not just teach new information but also provides support for improvements where needed most within practice systems based on targeted data-based on self-assessments for the entire system of care. Joslin data conclude that this new approach will benefit support, clinical, and office teams as well as the specialist. In short, the Performance Improvement CME structure reflects the needed components of the successful practice today, particularly for chronic conditions such as diabetes, including the focus on interdisciplinary team care and on quality improvement, which is becoming more and more aligned with reimbursement schemes, public and private, in the U.S.

via Preventive intervention in diabetes: a new mod… [Am J Prev Med. 2013] – PubMed – NCBI.