Health 2.0 Highlights: June 6th, 2009

Sharing Genes on the Social Web: PatientsLikeMe ALS Genetics Search Engine

This article was written by Hope Leman.

This is the kind of story that gets me out of bed before I go to work in a few hours at our small medical library and to try to get the news out of what should be a fascinating development in search, Health 2.0, Science 2.0 and public discussion of patient empowerment and in neurologic science generally. I have been sent through my connections at AltSearchEngines and Next Generation Science a link to the Marketwire press release “PatientsLikeMe Launches Genetics Search Engine for ALS Patients“.

plm-logo

I spent many hours in the amyotrophic lateral sclerosis community of Patients Like Me in 2007 — 2008 and still visit it occasionally. It is a remarkable instance of a close-knit group of people united by the personal tragedy of either having Lou Gehrig’s Disease (ALS) or caring for and/or about someone with it. The founders of Patients Like Me (PLM), Jamie and Ben Heywood, have since created similar online patient communities for Parkinson’s Disease, Multiple Sclerosis and so on.

plm-find-patients

I briefly met Ben Heywood at a recent Health 2.0 conference. Both he and Jamie are frequent speakers at Health 2.0 and Web 2.0-related gatherings and have been the subject of books and documentaries. The documentary So Much So Fast shows the courageous struggle their brother Stephen made against the ravages of ALS. The solidarity and love his family showed in that struggle is one of the most moving films ever made and should be viewed by literally anyone in the health sciences, encompassing as it does the minutiae of confronting ever growing disability and the quest to obtain accurate medical information in the Internet Age. The Heywood brothers have accomplished remarkable things across a variety of fields, notably in prodding the research establish to fast track research in ALS and to engage in far more transparent practices. They and men like Augie Nieto are the kind of people that leave one feeling that individuals can make a difference even in the face of such frightening specters as a diagnosis of ALS.

But I do have my qualms and concerns about some of the PLM initiatives. Even when papers about it appear in the standard medical literature in PubMed, the authors of the papers are usually affiliated in some way with PLM. It would be nice if there were at least a few by neurologists who have no relationship at all to PLM that reported on advances made as a result of the data acquired from the self-reports that PLM members upload to PLM databases.

The search engine is simply called the Genetics Search Engine, although it covers only ALS and thus is likely to create some branding confusion.

The PLM blog post announcing the launch of the new search engine states: “Today, we’re announcing the launch of our Genetics Search Engine for people with ALS. Imagine finding other patients just like you, down to the genetic level. Patients in our ALS community can now do that. (For patients who don’t see their genetic mutation right now, that’s alright. They can be the first with that genetic mutation to join our community and share information about the disease.) What does sharing genetics mean for research? By capturing data on familial ALS patients’ known genetics, such as the A4V or D90A mutations in superoxide dismutase 1 (SOD1) and the P56S mutation in vesicle-associated membrane protein-associated protein B (VAPB), we can learn more about the cause and effects of every kind of ALS and better our chances of advancing research and finding new treatments. Our goal in launching the Genetics Search Engine (and other upgrades like it) is to help patients find others just like them and enhance our understanding of the phenotype of each genetic mutation (i.e., different causes of ALS have faster or slower disease progression).”

This brings up some interesting issues:

  • As noted, there is the matter of branding. The wording “… other upgrades like it” suggests that this is the first of what may become a series of search engines for genetic mutations. That is an intriguing development and illustrates the genuine knack for marketing and technological innovation that has always made PLM a leader in the patient social networking space even as other such communities (such as Trusera) with much less drive to actually contribute to the medical science related to the travails of members have struggled to attract and retain users.

  • The Genetics Search Engine does not appear particularly innovative or interesting vis-a-vis search technology. It seems, indeed, to be fairly unspectacular and rudimentary in that respect. But it is certainly more handsome and engaging than ALSOD: the Amyotrophic Lateral Sclerosis Online Database, which covers only SOD1 mutations and is designed for medical professionals, not patients and the general public.

  • The wording “Imagine finding other patients just like you, down to the genetic level” is quite fascinating. ALS is a rare disorder and now patients can find in that small group an even smaller group and, now, so can researchers. This has all kinds of implications for organizing patients into lobbying groups for research into that particular mutation. That might actually advance research, given that the intense study of one gene or one mutation could benefit the entire ALS population. Alternatively, it could hinder advancement if a vocal group successfully wins earmarks for what turn out to be blind alleys. In any case, it is a brave new world in which people can form political, emotional and social bonds on the basis of genetic mutations. This is a good thing for public education in medical matters and public discussion of important scientific and bioethical matters.

  • The development of the search engine and what becomes of the data is something that all those intrigued by the era of personalized medicine will watch with intense interest. Some argue that such data will prove of limited utility for decades and that it is cruel and deceptive to suggest to patients that hours spent mastering the arcana of genetics will improve their short-term prospects and day-to-day quality of life. Indeed, part of the marketing muddle is that the press release does not make the distinction clear between familial ALS and the sporadic type, the former being much rarer. Jamie Heywood is quoted as saying:

    Beyond the research implications of what this means today, if you’re a patient with familial ALS, you can now use this information to make better decisions about your healthcare and learn from the experiences of others like you.

    But that group is a small subset of the greater ALS patient population as a whole and the press release makes it sound like the Genetics Search Engine is a potential boon for all ALS patients. It could be, but that isn’t made clear.

But one should not complain too much given the obvious solace and genuine enjoyment members find in PLM and the impressive amount of useful information exchanged there on matters of nutrition, respiratory care, assistive technology and such, necessary in the care of patients with this illness. The fact that PLM has 3,400 members worldwide alone is impressive given that there only an estimated 30,000 people with the disease in the U.S. in any given year.

It will be interesting to see what public comment discussion is engendered by this development vis-a-vis patient education and genomics, and the ethical and health information management issues raised by patients taking an ever more intense interest in the building blocks of their very beings and expecting frontline clinicians to treat them by utilizing such data.

This not just an ALS story. This is a new era in medicine.

About the author: Hope Leman writes about Health 2.0 and the e-patient movement at Significant Science. She is also a writer for AltSearchEngines, which covers hundreds of alternative / niche search engines. Hope is a research information technologist for a health network in Oregon and is also Web administrator of the grants and scholarship listing service ScanGrants.

Top Health Search Engines of 2008

Mednar and GoPubMed have been voted Top Health Search Engines of 2008 by two independent measures.

Mednar is a federated search engine designed to quickly access information from a multitude of credible sources. Federated search is a new way to comprehensively search multiple databases in real time, ensuring a superior level of search results by ignoring outdated articles, irrelavant research and spam. Mednar offers several tools to narrow searches, drill down into topics and discover new information sources.

GoPubMed is a knowledge-based search engine for the life sciences and is based on PubMed, a service of the U.S. National Library of Medicine that includes over 18 million citations from MEDLINE, the world’s most comprehensive source of life sciences and biomedical bibliographic information, and other life science journals for biomedical articles dating back to 1948. Once keywords are submitted to PubMed, the resulting abstracts are classified using Gene Ontology (a hierarchical vocabulary for molecular biology covering cellular components, biological processes and molecular functions) and Medical Subject Headings (MeSH), a hierarchical vocabulary covering biomedical and health-related topics. Quite simply, GoPubMed enables users to find more relevant information significantly faster.

Health Search and the Semantic Web

Before it gets too far behind us, I wanted to write briefly about the Health 2.0 Conference, which was held in San Francisco on October 22 and 23rd. The Health 2.0 Conference focuses on the application of Web 2.0 technologies to the fields of medicine and healthcare. Specifically, I wanted to comment on health search, the semantic web and the demonstration of the health 2.0 service iMedix.

Search engines today rely extensively on keywords. However, with health-related searches, context or meaning takes on great importance. Consider this: a study earlier this summer found that simply replacing the search term “vaccine safety” with “vaccine danger” replaced virtually all accurate search results (out of the first 20) with inaccurate results [1]. Granted, there are several limitations to the study (small sample size, controversial topic), but it nonetheless illustrates how a single keyword can dramatically alter search results.

Medicine 2.0 #27 – Communication is Key

Welcome to the twenty-seventh edition of Medicine 2.0, the bi-weekly blog carnival of the best posts pertaining to web 2.0 and medicine.

Medicine 2.0 is the science of maintaining and/or restoring human health through the study, diagnosis and treatment of patients utilizing web 2.0 internet-based services, including web-based community sites, blogs, wikis, social bookmarking, folksonomies (tagging) and Really Simple Syndication (RSS), to collaborate, exchange information and share knowledge. Physicians, nurses, medical students and health researchers who consume web media can actively participate in the creation and distribution of content, helping to customize information and technology for their own purposes.

Communication amongst and between healthcare professionals and healthcare consumers is a necessary element to improve health and is critical for the delivery of optimal medical outcomes.

This edition of Medicine 2.0 covers a wide array of posts with one thing in common — Communication.

Web 2.0 Tools and Slideshows

Medicine 2.0

Gunther Eysenbach’s Random Research Rants

Dr. Gunther Eysenbach presents an archiving system for Citing Blogs, Preserving Cited Webpages etc with WebCite.

Clinical Cases and Images

Do you Twitter? Dr. Ves Dimov offers A Doctor’s Opinion: Why I Started Microblogging on Twitter.

Scienceroll

23andMe presented a slideshow recently in Second Life in the latest session of the Scifoo Lives On series. Dr. Bertalan Mesko covers 23andMe in Second Life: LIVE.

Jay Parkinson+ MD + MPH

Dr. Jay Parkinson asks us to Look, posting a presentation from George Halvorson, CEO of Kaiser Permanente, about health reform.

Pharma 2.0

Bunny Ellerin writes about Within3 and the results of a survey at the American Society of Clinical Oncology (ASCO) conference. There’s no doubt that social media is Changing Physician Behavior.

Online Video

Gene Sherpas: Personalized Medicine and You

Dr. Steve Murphy writes about the upcoming second Helix Health CliniCast on genetic testing, genomic medicine and the science of accurate warfarin dosing, asking How’s that for Genomic Medicine by Press Release?

Digital Pathology Blog

The Digital Pathology Blog reports that Mayo Launches YouTube Channel with videos highlighting the latest research and treatment advances at Mayo Clinic.

WSJ Health Blog

The Wall Street Journal Health Blog discusses online doctor consults, announcing that The Doctor Will See You on the Webcam Now.

Information Tools and Tests

College@Home

Many of us might forget there’s other search tools out there besides Google. Laura Milligan provides a comprehensive list of 100 Useful Niche Search Engines You’ve Never Heard Of.

davidrothman.net

David Rothman posts An Evaluation of the Five Most Used Evidence Based Bedside Information Tools in Canadian Health Libraries, a recent study published in the journal Evidence Based Library and Information Practice.

Medgadget

Personalized Medical Search Engine: With Medgadget describes the inclusion of Medgadget in Scienceroll Search, a personalized medical search engine powered by Polymeta.com.

NursingDegree.Net

Jessica Merritt highlights a number of ways to use Google’s Personal Health Record (PHR), offering The Ultimate Guide to Google Health: 60+ Tips and Resources.

Canadian EMR

Digital records and privacy can be a mixed bag. Alan Brookstone reposts the media report UK Health Agency Loses 31,000 Patients Records.

Sharp Brains

Alvaro Fernandez writes about the Brain Age, Posit Science, and Brain Training Topics, reporting both good and bad news regarding the assessment and training of cognitive skills.

Microarray Blog

Albin Paul discusses the options for a Semantic Search Engine for PubMed — Microsoft Vs Yahoo Vs Google Vs Oracle in Semantic Web Search.

Tomographyblog

András Székely discusses TomographyBlogSearch in the Making, describing the SeekRadiology Project, a search engine for diagnostic imaging.

Doctor-patient Communication

Canadian Medicine

Graham Lanktree reviews a study of prepared patients and internet information, which finds that the Web Buoys Doctor-patient Communication.

Medical Economics

Gail Garfinkel Weiss writes how the shift from authority-based medicine to one of shared responsibility is playing out in the exam room in The New Doctor-patient Paradigm.

The iPhone

Dr Penna

Dr. Sreeram Penna provides a list of health care applications currently available for the iPhone in Mobile Medical Software for the Iphone 3g.

Efficient MD

Dr. Joshua Schwimmer also writes about potential applications on the iPhone for doctors in The New 3G iPhone, the App Store, and Doctors.

Conclusion

That concludes the 27th edition of Medicine 2.0. My thanks to everyone who submitted an article. You can find more information about the carnival as well as the hosting schedule and past editions at the Medicine 2.0 Website.

Have you written a blog post about web 2.0 and medicine? Submit it to the next edition of Medicine 2.0 using the carnival submission form.