I've recently been reviewing the story Dr. Mittman referred to during Orientation whereby ABC News interviewed him.
What strikes me this time is the passion, testimonies, once incurable people who were cured, FDA whistle blowers, History, and etc. interwoven within the 111 replies. Like a gripping drama, these replies are filled with lies, deceitful perceptions, death, life, battle, greed, healing, revelation, change, and triumph. It accelerates me and... my soul hearkens to the need for us to be awesome naturopathic physicians, or termed more accurately, Nature Servants (contact me to discuss more of what this term Nature Server means). Put simply, the need for us to help sick people get Healthy.
Take a look at the article and or Replies at: http://abcnews.go.com/Health/WellnessNews/comments?type=story&id=8215703
And let me know what you think / feel...
Onward,
Steven M. Sabatier, MBA-HCA
Certified Trainer for The PAR Group
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Monday, August 31, 2009
Saturday, August 29, 2009
Sunday, August 23, 2009
What happens when you use drugs to decrease the acidity of the stomach?
This is what happens when you try to decrease the acidity of the stomach. The article was brought up in a study group today. Enjoy.
Risk of Community-Acquired Pneumonia and Use of Gastric Acid–Suppressive Drugs
JAMA. 2004;292:1955-1960.
Context Reduction of gastric acid secretion by acid-suppressive therapy allows pathogen colonization from the upper gastrointestinal tract. The bacteria and viruses in the contaminated stomach have been identified as species from the oral cavity.
Objective To examine the association between the use of acid-suppressive drugs and occurrence of community-acquiredpneumonia.
Design, Setting, and Participants Incident acid-suppressive drug users with at least 1 year of valid database history wereidentified from the Integrated Primary Care Information database between January 1, 1995, and December 31, 2002. Incidence rates for pneumonia were calculated for unexposed and exposed individuals. To reduce confounding by indication, a case-control analysis was conducted nested in a cohort of incident users of acid-suppressive drugs. Cases were all individuals with incident pneumonia during or after stopping use of acid-suppressive drugs. Up to 10 controls were matched to each case for practice, year of birth, sex, and index date. Conditional logistic regression was used to compare the risk of community-acquired pneumonia between use of proton pump inhibitors (PPIs) and H2-receptor antagonists.
Main Outcome Measure Community-acquired pneumonia defined as certain (proven by radiography or sputum culture) or probable (clinical symptoms consistent with pneumonia).
Results The study population comprised 364 683 individuals who developed 5551 first occurrences of pneumonia during follow-up. The incidence rates of pneumonia in non–acid-suppressive drug users and acid-suppressive drug users were 0.6 and 2.45 per 100 person-years, respectively. The adjusted relative risk for pneumonia among persons currently using PPIs compared with those who stopped using PPIs was 1.89 (95% confidence interval, 1.36-2.62). Current users of H2-receptor antagonists had a 1.63-fold increased risk of pneumonia (95% confidence interval, 1.07-2.48) compared with those who stopped use. For current PPI users, a significant positive dose-response relationship was observed. For H2-receptor antagonist users, the variation in dose was restricted.
Conclusion Current use of gastric acid–suppressive therapy was associated with an increased risk of community-acquired pneumonia.
Author Affiliations: Department of Gastroenterology, University Medical Center St. Radboud, Nijmegen, the Netherlands (Drs Laheij and Jansen); and Department of Medical Informatics (Drs Laheij, Sturkenboom, Dieleman, and Stricker and Mr Hassing), Pharmacoepidemiology Unit, Department of Epidemiology and Biostatistics (Drs Sturkenboom and Stricker), and Internal Medicine (Dr Dieleman), Erasmus MC University, Medical Center Rotterdam, Rotterdam, the Netherlands.
Thursday, August 20, 2009
Is US Health Really the Best in the World?
Courtesy of Erik- Third paragraph is very interesting, talks about how iatrogenic disease is the third cause of death in the US.
JAMA. 2000;284:483-485.
Information concerning the deficiencies of US medical care has been accumulating. The fact that more than 40 million people have no health insurance is well known. The high cost of the health care system is considered to be a deficit, but seems to be tolerated under the assumption that better health results from more expensive care, despite evidence from a few studies indicating that as many as 20% to 30% of patients receive contraindicated care.1 In addition, with the release of the Institute of Medicine (IOM) report "To Err Is Human,"2 millions of Americans learned, for the first time, that an estimated 44,000 to 98,000 amongthem die each year as a result of medical errors.
The fact is that the US population does not have anywhere near the best health in the world. Of 13 countries in a recent comparison,3 the United States ranks an average of 12th (second from the bottom) for 16 available health indicators. Countries in order of their average ranking on the health indicators (with the first being the best) are Japan, Sweden, Canada, France, Australia, Spain, Finland, the Netherlands, the United Kingdom, Denmark, Belgium, the United States, and Germany. Rankings of the United States on the separate indicators3 are:
- 13th (last) for low-birth-weight percentages
- 13th for neonatal mortality and infant mortality overall
- 11th for postneonatal mortality
- 13th for years of potential life lost (excluding external causes)
- 11th for life expectancy at 1 year for females, 12th for males
- 10th for life expectancy at 15 years for females, 12th for males
- 10th for life expectancy at 40 years for females, 9th for males
- 7th for life expectancy at 65 years for females, 7th for males
- 3rd for life expectancy at 80 years for females, 3rd for males
- 10th for age-adjusted mortality
The poor performance of the United States was recently confirmed by the World Health Organization, which used different indicators. Using data on disability-adjusted life expectancy, child survival to age 5 years, experiences with the health care system, disparities across social groups in experiences with the health care system, and equality of family out-of-pocket expenditures for health care (regardless of need for services), this report ranked the United States as 15th among 25 industrialized countries.4 Thus, the figures regarding the poor position of the United States in health worldwide are robust and not dependent on the particular measures used. Common explanations for this poor performancefail to implicate the health system. The perception is that the American public "behaves badly" by smoking, drinking, and perpetrating violence. The data show otherwise, at least relatively. The proportion of females who smoke ranges from 14% in Japan to 41% in Denmark; in the United States, it is 24% (fifth best). For males, the range is from 26% in Sweden to 61% in Japan; it is 28% in the United States (third best).
The data for alcoholic beverage consumption are similar: the United States ranks fifth best. Thus, although tobacco use and alcohol use in excess are clearly harmful to health, they do not account for the relatively poor position of the United States on these health indicators. The data on years of potential life lost exclude external causes associated with deaths due to motor vehicle collisions and violence, and it is still the worst among the 13 countries.3 Dietary differences have been demonstrated to be related to differences in mortality across countries,5 but the United States has relatively low consumption of animal fats (fifth lowest in men aged 55-64 years in 20 industrialized countries) and the third lowest mean cholesterol concentrations among men aged 50 to 70 years among 13 industrialized countries.6
The real explanation for relatively poor health in the United States is undoubtedly complex and multifactorial. From a health system viewpoint, it is possible that the historic failure to build a strong primary care infrastructure could play some role. A wealth of evidence3 documents the benefits of characteristics associated with primary care performance. Of the 7 countries in the top of the average health ranking, 5 have strong primary care infrastructures. Although better access to care, including universal health insurance, is widely considered to be the solution, there is evidence that the major benefit of access accrues only when it facilitates receipt of primary care.3, 7 The health care system also may contribute to poor health through its adverse effects. For example, US estimates8-10 of the combined effect of errors and adverse effects that occur because of iatrogenic damage not associated with recognizable error include:
- 12,000 deaths/year from unnecessary surgery
- 7000 deaths/year from medication errors in hospitals
- 20,000 deaths/year from other errors in hospitals
- 80,000 deaths/year from nosocomial infections in hospitals
- 106,000 deaths/year from nonerror, adverse effects of medications
These total to 225,000 deaths per year from iatrogenic causes. Three caveats should be noted. First, most of the data are derived from studies in hospitalized patients. Second, these estimates are for deaths only and do not include adverse effects that are associated with disability or discomfort. Third, the estimates of death due to error are lower than those in the IOM report.1 If the higher estimates are used, the deaths due to iatrogenic causes would range from 230,000 to 284,000. In any case, 225,000 deaths per year constitutes the third leading cause of death in the United States, after deaths from heart disease and cancer. Even if these figures are overestimated, there is a wide margin between these numbers of deaths and the next leading cause of death (cerebrovascular disease).
One analysis overcomes some of these limitations by estimating adverse effects in outpatient care and including adverse effects other than death.11 It concluded that between 4% and 18% of consecutive patients experience adverse effects in outpatient settings, with 116 million extra physician visits, 77 million extra prescriptions, 17 million emergency department visits, 8 million hospitalizations, 3 million long-term admissions, 199,000 additional deaths, and $77 billion in extra costs (equivalent to the aggregate cost of care of patients with diabetes).11
Another possible contributor to the poor performance of the United States on health indicators is the high degree of income inequality in this country. An extensive literature documents the enduring adverse effects of low socioeconomic position on health; a newer and accumulating literature suggests the adverse effects not only of low social position but, especially, low relative social position in industrialized countries.12 Among the 13 countries included in the international comparison mentioned above, the US position on income inequality is 11th (third worst). Sweden ranks the best on income equality (when income is calculated after taxes and including social transfers), matching its high position for health indicators. There is an imperfect relationship between rankings on income inequality and health, although the United States is the only country in a poor position on both (B.S., unpublished data, 2000).
An intriguing aspect of the data is the differences in ranking for the different age groups. US children are particularly disadvantaged, whereas elderly persons are much less so. Judging from the data on life expectancy at different ages, the US population becomes less disadvantaged as it ages, but even the relatively advantaged position of elderly persons in the United States is slipping. The US relative position for life expectancy in the oldest age group was better in the 1980s than in the 1990s.13 The long-existing poor ranking of the United States with regard to infant mortality14 has been a cause for concern; it is not a result of the high percentages of low birth weight and infant mortality among the black population, because the international ranking hardly changes when data for the white population only are used.
Whereas definitive explanations for the relatively poor position of the United States continue to be elusive, there are sufficient hints as to their nature to provide the basis for consideration of neglected factors:
(1) The nature and operation of the health care system. In the United States, in contrast to many other countries, the extent to which receipt of services from primary care physicians vs specialists affects overall health and survival has not been considered. While available data indicate that specialty care is associated with better quality of care for specific conditions in the purview of the specialist,15 the data on general medical care suggest otherwise.16 National surveys almost all fail to obtain data on the extent to which the care received fulfills the criteria for primary care, so it is not possible to examine the relationships between individual and community health characteristics and the type of care received.
(2) The relationship between iatrogenic effects (including both error and nonerror adverse events) and type of care received. The results of international surveys document the high availability of technology in the United States. Among 29 countries, the United States is second only to Japan in the availability of magnetic resonance imaging units and computed tomography scanners per million population.17 Japan, however, ranks highest on health, whereas the United States ranks among the lowest. It is possible that the high use of technology in Japan is limited to diagnostic technology not matched by high rates of treatment, whereas in the United States, high use of diagnostic technology may be linked to the "cascade effect"18 and to more treatment. Supporting this possibility are data showing that the number of employees per bed (full-time equivalents) in the United States is highestamong the countries ranked, whereas they are very low in Japan17—far lower than can be accounted for by the common practice of having family members rather than hospital staff provide the amenities of hospital care.
How cause of death and outpatient diagnoses are coded does not facilitate an understanding of the extent to which iatrogenic causes of ill health are operative. Consistent use of "E" codes (external causes of injury and poisoning) would improve the likelihood of their recognition because these ICD (International Classification of Diseases) codes permit attribution of cause of effect to "Drugs, Medicinal, and Biological Substances Causing Adverse Effects in Therapeutic Use." More consistent use of codes for "Complications of Surgical and Medical Care" (ICD codes 960-979 and 996-999) might improve the recognition of the magnitude of their effect; currently, most deaths resulting from these underlying causes are likely to be coded according to the immediate cause of death (such as organ failure). The suggestions of the IOM document on mandatory reporting of adverse effects might improve reporting in hospital settings, but it is unlikely to affect underreporting of adverse events in noninstitutional settings. Only better record keeping, with documentation of all interventions and resulting health status (including symptoms and signs), is likely to improve the current ability to understand both the adverse and positive effects of health care.
(3) The relationships among income inequality, social disadvantage, and characteristics of health systems, including the relative contributions of primary care and specialty care. Recent studies using physician-to-population ratios (as a proxy for unavailable data on actual receipt of health services according to their type) have shown that the higher the primary care physician–to–population ratio in a state, the better most health outcomes are.19 The influence of specialty physician–to–population ratios and of specialist–to–primary care physician ratios has not been adequately studied, but preliminary and relatively superficial analyses suggest that the converse may be the case. Inclusion of income inequality variables in the analysis does not eliminate the positive effect of primary care. Furthermore, states that have more equitable distributions of income also are more likely to have better primary care resource availability, thus raising questions about the relationships among a host of social and health policy characteristics that determine what and how resources are available.
Recognition of the harmful effects of health care interventions, and the likely possibility that they account for a substantial proportion of the excess deaths in the United States compared with other comparably industrialized nations, sheds new light on imperatives for research and health policy. Alternative explanations for these realities deserve intensive exploration.
Tuesday, August 18, 2009
Faking Scientific Evidence
One in Seven Scientists Say Colleagues Fake "Scientific" Study Results
Monday, August 17, 2009 by: David Gutierrez, staff writer(NaturalNews) One in seven scientists report that they have known colleagues to falsify or slant the findings of their research, according to a study conducted by researchers from the University of Edinburgh, Scotland, and published in the journal PLoS One.
A number of scientific data falsification scandals have emerged in recent years, such as the case of a South Korean researcher who invented data on stem cell research. At the same time, increasing controversy over close industry ties to medical research has called into question whether researchers who take money from drug companies might be induced to falsify their data.
"Increasing evidence suggests that known frauds are just the tip of the iceberg and that many cases are never discovered," said researcher Daniele Fanelli.
The researchers reviewed the results of 21 different scientific misconduct surveys that had been performed between 1985 and 2005. All respondents were asked whether they or anyone they knew of had taken part in either fabrication (outright invention of data) or "questionable practices."
Questionable practices were any improper procedure short of fabrication, including failing to publish results contradicting one's prior research, modifying data based on a "gut feeling," changing conclusions after pressure from a funder or selectively choosing which data to include in an analysis.
One in seven scientists said that they were aware of colleagues who had engaged in fabrication, while nearly half -- 46 percent -- admitted to knowing of colleagues who had used questionable practices. Only two percent, however, admitted to fabricating results themselves.
While two percent is higher than previous estimates of the prevalence of data fabrication, researchers believe that the number is still too low. In all likelihood, it reflects both a reluctance by researchers to admit to serious misconduct and a tendency to interpret one's behavior as favorably as possible -- questionable instead of fabrication, or acceptable rather than questionable.
Researchers in the medical and pharmacalogical fields were the most likely to admit to misconduct than researchers in other fields.
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