Showing posts with label Suicide. Show all posts
Showing posts with label Suicide. Show all posts

Tuesday, 30 July 2013

Hospital screening tool for suicide risk among self-harmers should be ditched, UK

Main Category: Mental Health
Also Included In: Psychology / Psychiatry;  Medical Devices / Diagnostics
Article Date: 30 Jul 2013 - 0:00 PDT Current ratings for:
Hospital screening tool for suicide risk among self-harmers should be ditched, UK
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A screening tool used in general hospitals to detect suicide risk among patients who have self harmed should be ditched, concludes a study published online in Emergency Medicine Journal.

The technique (SADPERSONS Scale) fails to pick up most of those who require admission to a psychiatric unit, community psychiatric aftercare, or to determine those at risk of self harming again, say the researchers.

The SADPERSONS Scale was developed in the USA in 1983 as a means of assessing suicide risk among patients who had self harmed. It is based on 10 major risk factors, but has changed little since it was first devised, say the researchers.

National guidance in England stipulates that all patients who go to hospital after an episode of self harm should be given a full psychosocial assessment. But current pressures in hospitals to meet waiting time targets, combined with a reduction in the availability of mental health services, mean that emergency care staff are increasingly minded to use rating scales to find out which patients can be discharged without a full psychosocial assessment, say the researchers.

They therefore assessed SADPERSONS scores that had been recorded for 126 patients consecutively admitted to one emergency medicine department in a major general hospital in Oxford during the summer of 2011, to see how accurate it was at predicting how these patients were subsequently managed and treated.

This included admission to a psychiatric unit, a proxy for psychosocial assessment; the provision of community psychiatric aftercare; and bouts of repeated self harm in the following six months.

Self harm was defined as any act of poisoning or injury, irrespective of its purpose. Most of the patients (102; 81%) had taken an overdose; around one in 10 (11%) had cut themselves; and the remaining 10 patients (8%) had inflicted other forms of injury on themselves.

Admission to a psychiatric unit was required in five cases (4%) and community psychiatric aftercare in just over half (55%; 70). One in four patients (24.6%) self harmed again at least once.

The SADPERSONS Scale only picked up 2% of those requiring admission to a psychiatric unit, around 6% of those needing community psychiatric aftercare, and just over 6.5% of those likely to self harm again.

The authors point out that for the purposes of suicide prevention, any technique designed to spot potential suicide risk must have a low rate of false negative results - in other words, it must be accurate and not miss most of those at risk of killing themselves.

While the small numbers of patients in this study don't allow any conclusions to be drawn about the Scale's usefulness in predicting suicide risk, the scores did not pick up very accurately those most at risk of further self harm, which is particularly associated with suicide risk, say the study authors.

Twenty three out of 31 of the episodes of self harm occurred within the first three months of the first visit to emergency care. But only two of these patients had high scores on the SADPERSONS Scale; the rest had low to moderate scores, suggesting they were not at high risk.

"The results clearly show that the SADPERSONS Scale has a very limited role, if any, to play in the assessment of patients presenting to the emergency department following an episode of self harm," write the authors.

"Indeed, arguably, our results show that reliance on the scale for determining who should receive a psychosocial assessment or otherwise using it for prediction is not only misleading, it could be dangerous," they add.

The use of rating scales has become increasingly widespread in response to the need to standardise practice for ever increasing numbers of patients. But these tools often overlook individual dynamics, they say.

"A greater focus on clinical judgement is needed, accompanied by the necessary education, training and supervision, if we are to more accurately fully identify and intervene with those who are at greatest risk following self harm," they conclude.

Article adapted by Medical News Today from original press release. Click 'references' tab above for source.
Visit our mental health section for the latest news on this subject. Please use one of the following formats to cite this article in your essay, paper or report:

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30 Jul. 2013. APA

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'Hospital screening tool for suicide risk among self-harmers should be ditched, UK'

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Saturday, 27 July 2013

Drinking coffee linked to lower suicide risk in adults

Featured Article
Academic Journal
Main Category: Neurology / Neuroscience
Also Included In: Psychology / Psychiatry
Article Date: 27 Jul 2013 - 2:00 PDT Current ratings for:
Drinking coffee linked to lower suicide risk in adults
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Drinking coffee is linked to lower suicide rates, suggests a study published in The World Journal of Biological Psychiatry.

Researchers from the Harvard School of Public Health (HSPH) reviewed data from three large US studies. This consisted of 43,599 men involved in the Health Professionals Follow-up study (HPFS), 73,820 women in the Nurses' Health Study (NHS) and 91,005 women in the NHS II.

The researchers analyzed data regarding consumption of caffeine, coffee and decaffeinated coffee every 4 years through food-frequency questionnaires, while the deaths from suicide were analyzed by physician review of death certificates.

The amount of caffeine consumption was assessed from both coffee and non-coffee sources, including chocolate, tea and caffeinated soft drinks. But the researchers add that coffee was the main source, accounting for a minimum of 71% in all three studies.

Over the study period, 277 deaths were a result of suicide.

Results revealed that the risk of suicide for adults who drank between 2-4 cups of coffee each day was 50% lower when compared with adults who drank decaffeinated coffee, very little or no coffee.

The researchers reported that there were no major differences in the risk of suicide between those who consumed 2-3 cups of coffee per day and those who drank 4 or more cups per day, but they note that this may be due to a smaller number of suicides in these categories.

Coffee cup and coffee beans
Researchers on this study say that the risk of suicide was 50% lower in adults who drank 2-4 cups of coffee each day. However, a previous study suggested heightened depression in adults who drank 4 or more cups of coffee per day.

However, the study notes that a previous study from HSPH analyzing how coffee was related to depression revealed that researchers saw a heightened depression effect in those who drank 4 or more cups per day.

The researchers report that as well as stimulating the central nervous system, caffeine acts as a mild anti-depressant by boosting the production of particular neurotransmitters in the brain. These include noradrenaline, dopamine, and serotonin. They add that this could explain the results of studies in the past that have linked the consumption of coffee to a lower risk of depression.

Regardless of the study's results, the authors say this does not mean the consumption of coffee should be increased.

The recommended coffee intake for the average healthy adult is around 2-4 cups per day. Experts advise that too much caffeine can have unpleasant side effects, such as insomnia, nervousness, restlessness, muscle tremors and a fast heartbeat.

Written by Honor Whiteman


Copyright: Medical News Today
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Wednesday, 24 July 2013

Suicide risk increased by teen eating disorders

Main Category: Eating Disorders
Also Included In: Depression;  Women's Health / Gynecology;  Anxiety / Stress
Article Date: 24 Jul 2013 - 1:00 PDT Current ratings for:
Suicide risk increased by teen eating disorders
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Is binge eating a tell-tale sign of suicidal thoughts?

According to a new study of African American girls, by Dr. Rashelle Musci and colleagues from the Bloomberg School of Public Health, Johns Hopkins University in the US, those who experience depressive and anxious symptoms are often dissatisfied with their bodies and more likely to display binge eating behaviors. These behaviors put them at higher risk for turning their emotions inward, in other words, displaying internalizing symptoms such as suicide.

The study is published online in Springer's journal, Prevention Science.

With the focus on appearance in Western culture, it is not uncommon for many girls and women to have eating behavior problems. The most frequently occurring problem eating behaviors are binge eating, or eating large amounts of food in a short period of time and feeling out of control while eating. This behavior leads to shame, embarrassment, distress and an attempt to conceal it.

Musci and team investigated how depressive and anxious symptoms may be precursors to binge eating behaviors and suicidal outcomes in 313 black females followed for 11 years, from the ages of approximately 6-17 years old. Teacher, parent, and child interviews were carried out, examining levels of anxiety, depression, satisfaction with physical appearance, and eating behaviors, particularly binge eating. The researchers also noted who had reported a suicide attempt during the study period. The African American females demonstrated dissatisfaction with their physical appearance, which predicted the development of depressive and anxious symptoms in adolescence. These, in turn, predicted binge eating behaviors. Adolescent girls with more binge eating behaviors also reported more suicide attempts. The authors conclude: "The relationships found in this study offer prevention scientists a unique opportunity to target individuals at high risk of psychiatric problems by intervening in the case of binge eating problems. Our results also support the importance of developing prevention programs that are culturally relevant to individuals."

Article adapted by Medical News Today from original press release. Click 'references' tab above for source.
Visit our eating disorders section for the latest news on this subject.

Musci RJ et al (2013). Internalizing Antecedents and Consequences of Binge Eating Behaviors in a Community-Based, Urban Sample of African American Females. Prevention Science; DOI 10.1007/s11121-013-0411-9

Springer

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'Suicide risk increased by teen eating disorders'

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View the original article here

Friday, 12 July 2013

Technology Initiative To Identify Risk Factors Underlying Military Suicide Crisis Using Predictive Analytics

Main Category: Veterans / Ex-Servicemen
Also Included In: Mental Health
Article Date: 11 Jul 2013 - 2:00 PDT Current ratings for:
Technology Initiative To Identify Risk Factors Underlying Military Suicide Crisis Using Predictive Analytics
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Patterns and Predictions, a predictive analytics company, has announced its Big Data initiative "The Durkheim Project*" - to predict suicide at scale using its machine learning data fabric built on technologies from Attivio and Cloudera.

Patterns and Predictions is now providing technology enabling opt-in participation from more than 100,000 U.S. veterans to build a 'big' medical database that will help military mental health experts fight a complex and challenging enemy: the alarming incidence of suicide among veterans.

Cited by a 2012 TIME Magazine cover story ("One A Day"), as a problem of epidemic proportions, suicide rates among veterans are roughly double those of adults in the general U.S. population. TIME also noted that military efforts have struggled to successfully address the suicide crisis due, in part, to a lack of understanding why nothing has worked to stop it.

Patterns and Predictions' founder Chris Poulin, has been working with Dartmouth researchers to address this problem since 2010. "The next generation of predictive analytics tools gives scientific and clinical investigators new hope and resources for solving even the most intractable problems," said Poulin.

In 2011, Patterns and Predictions engaged Big Data analytics experts Attivio and Cloudera and secured a contract with the Defense Advanced Research Projects Agency (DARPA). Concluded in February 2013, staff from Patterns and Predictions, Dartmouth, and the U.S. Veterans Administration conducted an investigation to validate the machine learning data fabric. Initial findings indicated the data model's predictive accuracy was statistically significant (consistent accuracies of 65 percent or more) in predicting suicidality risk among a veteran control group.

Having confirmed the theoretical underpinnings of this work, Patterns and Predictions is leading "Phase 2" technology for The Durkheim Project, a tightly integrated Big Data initiative with one objective: suicidality prediction at scale. "The promise of Durkheim lies in its ability to collect and monitor a diverse repository of complex data, with the hope of eventually providing a real-time triage of interventional actions upon detection of a critical event," said Poulin. At this time, the associated medical study (Dartmouth CPHS #23781) is authorized as observation only and non-interventional.

Tightly Integrated Technologies

Durkheim's event-driven predictions are made possible by Patterns and Predictions' integration of its suicide risk prediction technology (including a Facebook® app, and mobile app for iPhone® and Android®) and database connections with complementary capabilities from Attivio, the leading unified information access platform, and Cloudera, the category leader in Apache Hadoop-based software and services for the enterprise.

Attivio: Attivio provided code that enables the indexing and dynamic joining of diverse information on a massive scale to make it highly accessible. "Attivio Active Intelligence Engine® offers a schema-less index and patented JOIN technology that our projects have relied on time and again to power our cutting-edge text analytics," said Poulin.

Cloudera: Patterns and Predictions engaged Cloudera Professional Services to co-develop code in the area of real-time prediction on CDH (Cloudera's Distribution Including Apache Hadoop), the market-leading open source distribution of Hadoop and related projects. "With Cloudera's unique software expertise, we can focus on making The Durkheim Project's risk assessments faster across larger data sets," said Poulin.

Article adapted by Medical News Today from original press release. Click 'references' tab above for source.
Visit our veterans / ex-servicemen section for the latest news on this subject.

In a July 2 statement, The U.S. Department of Veterans Affairs and Facebook, Inc. announced their participation in The Durkheim Project.

*About The Durkheim Project

“The Durkheim Project” is a medical non-profit initiative. It is named in honor of Emile Durkheim, a founding sociologist whose 1897 publication of “Suicide” defined early text analysis for suicide risk, as well as theoretical explanations. The Durkheim Project is comprised of a multi-disciplinary team of artificial intelligence and medical experts from private companies, The Geisel School of Medicine at Dartmouth, and the U.S. Department of Veterans Affairs. Together these professionals have formed a team dedicated to applied research on suicide. More information about the study - and additional background information - can be found at The Durkheim Project website: http://www.durkheimproject.org

Funding Support/Disclaimers

This material is based upon work supported by the Defense Advance Research Project Agency (DARPA), and Space Warfare Systems Center Pacific under Contract N66001-11-4006. Also supported by, the Intelligence Advanced Research Projects Activity (IARPA) via the Department of Interior National Business Center contract number N10PC20221. The opinions, findings and conclusions or recommendations expressed in this material are those of the authors(s) and do not necessarily reflect the views of the Defense Advance Research Program Agency (DARPA) and Space, the Naval Warfare Systems Center Pacific, IARPA, DOI/NBC, or the U.S. Government.

Patterns and Predictions

Please use one of the following formats to cite this article in your essay, paper or report:

MLA

Predictions, Patterns and. "Technology Initiative To Identify Risk Factors Underlying Military Suicide Crisis Using Predictive Analytics." Medical News Today. MediLexicon, Intl., 11 Jul. 2013. Web.
11 Jul. 2013. APA

Please note: If no author information is provided, the source is cited instead.


'Technology Initiative To Identify Risk Factors Underlying Military Suicide Crisis Using Predictive Analytics'

Please note that we publish your name, but we do not publish your email address. It is only used to let you know when your message is published. We do not use it for any other purpose. Please see our privacy policy for more information.

If you write about specific medications or operations, please do not name health care professionals by name.

All opinions are moderated before being included (to stop spam)

Contact Our News Editors

For any corrections of factual information, or to contact the editors please use our feedback form.

Please send any medical news or health news press releases to:

Note: Any medical information published on this website is not intended as a substitute for informed medical advice and you should not take any action before consulting with a health care professional. For more information, please read our terms and conditions.



View the original article here

Thursday, 11 July 2013

Technology Initiative To Identify Risk Factors Underlying Military Suicide Crisis Using Predictive Analytics

Main Category: Veterans / Ex-Servicemen
Also Included In: Mental Health
Article Date: 11 Jul 2013 - 2:00 PDT Current ratings for:
Technology Initiative To Identify Risk Factors Underlying Military Suicide Crisis Using Predictive Analytics
not yet ratednot yet rated

Patterns and Predictions, a predictive analytics company, has announced its Big Data initiative "The Durkheim Project*" - to predict suicide at scale using its machine learning data fabric built on technologies from Attivio and Cloudera.

Patterns and Predictions is now providing technology enabling opt-in participation from more than 100,000 U.S. veterans to build a 'big' medical database that will help military mental health experts fight a complex and challenging enemy: the alarming incidence of suicide among veterans.

Cited by a 2012 TIME Magazine cover story ("One A Day"), as a problem of epidemic proportions, suicide rates among veterans are roughly double those of adults in the general U.S. population. TIME also noted that military efforts have struggled to successfully address the suicide crisis due, in part, to a lack of understanding why nothing has worked to stop it.

Patterns and Predictions' founder Chris Poulin, has been working with Dartmouth researchers to address this problem since 2010. "The next generation of predictive analytics tools gives scientific and clinical investigators new hope and resources for solving even the most intractable problems," said Poulin.

In 2011, Patterns and Predictions engaged Big Data analytics experts Attivio and Cloudera and secured a contract with the Defense Advanced Research Projects Agency (DARPA). Concluded in February 2013, staff from Patterns and Predictions, Dartmouth, and the U.S. Veterans Administration conducted an investigation to validate the machine learning data fabric. Initial findings indicated the data model's predictive accuracy was statistically significant (consistent accuracies of 65 percent or more) in predicting suicidality risk among a veteran control group.

Having confirmed the theoretical underpinnings of this work, Patterns and Predictions is leading "Phase 2" technology for The Durkheim Project, a tightly integrated Big Data initiative with one objective: suicidality prediction at scale. "The promise of Durkheim lies in its ability to collect and monitor a diverse repository of complex data, with the hope of eventually providing a real-time triage of interventional actions upon detection of a critical event," said Poulin. At this time, the associated medical study (Dartmouth CPHS #23781) is authorized as observation only and non-interventional.

Tightly Integrated Technologies

Durkheim's event-driven predictions are made possible by Patterns and Predictions' integration of its suicide risk prediction technology (including a Facebook® app, and mobile app for iPhone® and Android®) and database connections with complementary capabilities from Attivio, the leading unified information access platform, and Cloudera, the category leader in Apache Hadoop-based software and services for the enterprise.

Attivio: Attivio provided code that enables the indexing and dynamic joining of diverse information on a massive scale to make it highly accessible. "Attivio Active Intelligence Engine® offers a schema-less index and patented JOIN technology that our projects have relied on time and again to power our cutting-edge text analytics," said Poulin.

Cloudera: Patterns and Predictions engaged Cloudera Professional Services to co-develop code in the area of real-time prediction on CDH (Cloudera's Distribution Including Apache Hadoop), the market-leading open source distribution of Hadoop and related projects. "With Cloudera's unique software expertise, we can focus on making The Durkheim Project's risk assessments faster across larger data sets," said Poulin.

Article adapted by Medical News Today from original press release. Click 'references' tab above for source.
Visit our veterans / ex-servicemen section for the latest news on this subject.

In a July 2 statement, The U.S. Department of Veterans Affairs and Facebook, Inc. announced their participation in The Durkheim Project.

*About The Durkheim Project

“The Durkheim Project” is a medical non-profit initiative. It is named in honor of Emile Durkheim, a founding sociologist whose 1897 publication of “Suicide” defined early text analysis for suicide risk, as well as theoretical explanations. The Durkheim Project is comprised of a multi-disciplinary team of artificial intelligence and medical experts from private companies, The Geisel School of Medicine at Dartmouth, and the U.S. Department of Veterans Affairs. Together these professionals have formed a team dedicated to applied research on suicide. More information about the study - and additional background information - can be found at The Durkheim Project website: http://www.durkheimproject.org

Funding Support/Disclaimers

This material is based upon work supported by the Defense Advance Research Project Agency (DARPA), and Space Warfare Systems Center Pacific under Contract N66001-11-4006. Also supported by, the Intelligence Advanced Research Projects Activity (IARPA) via the Department of Interior National Business Center contract number N10PC20221. The opinions, findings and conclusions or recommendations expressed in this material are those of the authors(s) and do not necessarily reflect the views of the Defense Advance Research Program Agency (DARPA) and Space, the Naval Warfare Systems Center Pacific, IARPA, DOI/NBC, or the U.S. Government.

Patterns and Predictions

Please use one of the following formats to cite this article in your essay, paper or report:

MLA

Predictions, Patterns and. "Technology Initiative To Identify Risk Factors Underlying Military Suicide Crisis Using Predictive Analytics." Medical News Today. MediLexicon, Intl., 11 Jul. 2013. Web.
11 Jul. 2013. APA

Please note: If no author information is provided, the source is cited instead.


'Technology Initiative To Identify Risk Factors Underlying Military Suicide Crisis Using Predictive Analytics'

Please note that we publish your name, but we do not publish your email address. It is only used to let you know when your message is published. We do not use it for any other purpose. Please see our privacy policy for more information.

If you write about specific medications or operations, please do not name health care professionals by name.

All opinions are moderated before being included (to stop spam)

Contact Our News Editors

For any corrections of factual information, or to contact the editors please use our feedback form.

Please send any medical news or health news press releases to:

Note: Any medical information published on this website is not intended as a substitute for informed medical advice and you should not take any action before consulting with a health care professional. For more information, please read our terms and conditions.



View the original article here