The National Library of Medicine (NLM) has announced that it will be retiring its PubMed Health website on October 31, 2018 [1]. The existing content or similar material will subsequently be made available through PubMed, MedlinePlus, and Bookshelf.
NLMplus, Semantics for Better Results in Search and Discovery
December 12, 2011 | by
WebLib, a small international technology startup of experts in information retrieval, natural language processing and medical informatics, recently released NLMplus, a semantic search and knowledge discovery application that utilizes a variety of semantic resources and natural language processing tools to produce improved search results from the vast collection of biomedical data and services of the National Library of Medicine (NLM).
About.com Health Study Finds Online Health Advertising Increasingly Helpful
November 29, 2010 | by
Earlier this year, About.com conducted a research study on health, revealing that significantly more people find online health advertisements helpful in coping with diseases and learning about the side effects and safety of medication [1]. The study confirms that people are turning to the Internet to take charge of their health and to better educate themselves about conditions and treatment options.
Consumer Hospital Comparison Website Now Includes Quality Data On Readmission Rates
July 9, 2009 | by
Launched in 2002, the Hospital Quality Alliance (HQA) is a national public-private initiative that includes hospitals, physicians, nurses, federal agencies, quality experts, and consumer and business groups. HQA members collaborate to make meaningful, relevant and easy-to-understand information about hospital performance accessible to the public and to inform and encourage efforts to improve quality.
Last year, members of the HQA together with the Centers for Medicare & Medicaid Services and the Department of Health and Human Services created a consumer-oriented hospital comparison website called Hospital Compare. Hospital Compare provides information on how well hospitals care for patients with specific medical conditions or surgical procedures, as well as results from a survey of patients about the quality of care they received during a recent hospital stay.
Yesterday, new quality data on hospital readmission rates was made available on the Hospital Compare website. The data includes hospital readmission rates for Medicare patients with heart attack, heart failure and pneumonia. This is especially relevant in today’s healthcare reform environment because the issue of hospital readmissions has been cited by policy makers and the Obama administration as a potential opportunity for improving healthcare quality and reducing unnecessary healthcare spending [2]. Indeed, a recent New England Journal of Medicine study found that almost one-fifth of Medicare beneficiaries discharged from the hospital were readmitted within 30 days; one-third were rehospitalized within 90 days [3].
Until now, hospitals have had only information on those patients who return to their own hospital, but not about patients who were readmitted to a different hospital. Using Medicare billing records from July 2005 to June 2008, the information on Hospital Compare shows how often a Medicare patient with one of these conditions returns to the same hospital or a different hospital within 30 days following their initial stay. Hospitals are placed in one of three categories based on their readmission rate in relation to a national readmission rate – “no different than the U.S. national rate”, “better than the U.S. national rate” or “worse than the U.S. national rate”. Each hospital’s readmission rate for the specific condition also can be compared to its state’s average. Additionally, each rate is shown as a single number, along with a confidence interval that indicates the range of certainty in which the hospital’s true performance falls.
The new quality data on hospital readmission rates is being added to existing information on how often hospitals take the right steps to provide care for their patients, as well as updated information on mortality rates. Available information includes statistics on a variety of quality measures such as:
- Percent of surgery patients who were given an antibiotic at the right time (within one hour before surgery) to help prevent infection
- Percent of surgery patients whose doctors ordered treatments to prevent blood clots after certain types of surgeries
- Percent of heart attack patients given aspirin at arrival
- Percent of pneumonia patients given the most appropriate initial antibiotic(s)
- Percent of heart failure patients given discharge instructions
- Percent of children who received reliever medication while hospitalized for asthma
In addition, Hospital Compare includes statistics on answers to a survey of patients’ hospital experiences, such as:
- Percent of patients who reported that their doctors “Always” communicated well
- Percent of patients who reported that staff “Always” explained about medicines before giving it to them.
- Percent of patients at each hospital who reported that YES, they were given information about what to do during their recovery at home.
You can search for hospital information in your area using either a general search or a specific medical condition or surgical procedure search. The general search provides information on Hospital Process of Care Measures, Hospital Outcome of Care Measures, and Survey of Patients’ Hospital Experiences. The specific medical condition or surgical procedure search provides information on Hospital Process of Care Measures and Hospital Outcome of Care Measures (where applicable), Survey of Patients’ Hospital Experiences, and Medicare Payment and Volume. The Hospital Compare database is updated on a quarterly basis.
Interested in how your hospital stacks up to others in the area? Find and Compare Hospitals
References
- Vital New Quality Data on Hospital Readmission Rates Available on Hospital Compare Website. Hospital Quality Alliance press release. 2009 July 9.
- Health Reform’s Benefits for Middle Class Under Scrutiny. Kaiser Health News. 2009 Jun 25.
-
Jencks et al. Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med. 2009 Apr 2;360(14):1418-28.
View abstract
Sharing Genes on the Social Web: PatientsLikeMe ALS Genetics Search Engine
April 23, 2009 | by
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“.
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.
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.
