LIVIVO - Search results -

Search results

Result 1 - 10 of total 62

Search options

Article: A Critical Review of Text Mining Applications for Suicide Research.

Boggs, Jennifer M / Kafka, Julie M

Current epidemiology reports

2022 Volume 9, Issue 3, Page(s) 126–134

Abstract: Purpose of review: Applying text mining to suicide research holds a great deal of promise. In this manuscript, literature from 2019 to 2021 is critically reviewed for text mining projects that use electronic health records, social media data, and death ... ...

Abstract	Purpose of review: Applying text mining to suicide research holds a great deal of promise. In this manuscript, literature from 2019 to 2021 is critically reviewed for text mining projects that use electronic health records, social media data, and death records. Recent findings: Text mining has helped identify risk factors for suicide in general and specific populations (e.g., older adults), has been combined with structured variables in EHRs to predict suicide risk, and has been used to track trends in social media suicidal discourse following population level events (e.g., COVID-19, celebrity suicides). Summary: Future research should utilize text mining along with data linkage methods to capture more complete information on risk factors and outcomes across data sources (e.g., combining death records and EHRs), evaluate effectiveness of NLP-based intervention programs that use suicide risk prediction, establish standards for reporting accuracy of text mining programs to enable comparison across studies, and incorporate implementation science to understand feasibility, acceptability, and technical considerations.
Language	English
Publishing date	2022-07-26
Publishing country	Switzerland
Document type	Journal Article ; Review
ISSN	2196-2995
ISSN	2196-2995
DOI	10.1007/s40471-022-00293-w
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾
- Full text online
- Order with fees

Article ; Online: Predicting Firearm Suicide-Small Steps Forward With Big Data.

Betz, Marian E / Boggs, Jennifer M / Goss, Foster R

JAMA network open

2022 Volume 5, Issue 7, Page(s) e2223758

MeSH term(s)	Big Data ; Firearms ; Humans ; Suicide/prevention & control
Language	English
Publishing date	2022-07-01
Publishing country	United States
Document type	Journal Article ; Comment
ISSN	2574-3805
ISSN (online)	2574-3805
DOI	10.1001/jamanetworkopen.2022.23758
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Effect of Care Management or Online Dialectical Behavior Therapy Skills Training vs Usual Care on Self-harm Among Adults With Suicidal Ideation-Reply.

Simon, Gregory E / Richards, Julie E / Boggs, Jennifer M

JAMA

2022 Volume 327, Issue 22, Page(s) 2246–2247

MeSH term(s)	Adult ; Behavior Therapy/methods ; Dialectical Behavior Therapy/methods ; Humans ; Internet ; Patient Care Management/methods ; Self-Injurious Behavior/psychology ; Self-Injurious Behavior/therapy ; Suicidal Ideation ; Suicide, Attempted/prevention & control ; Suicide, Attempted/psychology ; Telemedicine/methods
Language	English
Publishing date	2022-06-14
Publishing country	United States
Document type	Comparative Study ; Journal Article ; Comment
ZDB-ID	2958-0
ISSN	1538-3598 ; 0254-9077 ; 0002-9955 ; 0098-7484
ISSN (online)	1538-3598
ISSN	0254-9077 ; 0002-9955 ; 0098-7484
DOI	10.1001/jama.2022.5883
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Ua VI Zs.88: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Firearms, Physicians, Families, and Kids: Finding Words that Work.

Haasz, Maya / Boggs, Jennifer M / Beidas, Rinad S / Betz, Marian E

The Journal of pediatrics

2022 Volume 247, Page(s) 133–137

MeSH term(s)	Counseling ; Firearms ; Humans ; Physicians ; Safety ; Wounds, Gunshot
Language	English
Publishing date	2022-05-20
Publishing country	United States
Document type	Journal Article
ZDB-ID	3102-1
ISSN	1097-6833 ; 0022-3476
ISSN (online)	1097-6833
ISSN	0022-3476
DOI	10.1016/j.jpeds.2022.05.029
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Um IV Zs.116: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Article ; Online: Predicting Outcomes of Antidepressant Treatment in Community Practice Settings.

Simon, Gregory E / Cruz, Maricela / Boggs, Jennifer M / Beck, Arne / Shortreed, Susan M / Coley, R Yates

Psychiatric services (Washington, D.C.)

2023 Volume 75, Issue 5, Page(s) 419–426

Abstract: Objective: The authors examined whether machine-learning models could be used to analyze data from electronic health records (EHRs) to predict patients' responses to antidepressant medications.: Methods: EHR data from a Washington State health system ...

Abstract	Objective: The authors examined whether machine-learning models could be used to analyze data from electronic health records (EHRs) to predict patients' responses to antidepressant medications. Methods: EHR data from a Washington State health system identified patients ages ≥13 years who started an antidepressant medication in 2016 in a community practice setting and had a baseline Patient Health Questionnaire-9 (PHQ-9) score of ≥10 and at least one PHQ-9 score recorded 14-180 days later. Potential predictors of a response to antidepressants were extracted from the EHR and included demographic characteristics, psychiatric and substance use diagnoses, past psychiatric medication use, mental health service use, and past PHQ-9 scores. Random-forest and penalized regression analyses were used to build models predicting follow-up PHQ-9 score and a favorable treatment response (≥50% improvement in score). Results: Among 2,469 patients starting antidepressant medication treatment, the mean±SD baseline PHQ-9 score was 17.3±4.5, and the mean lowest follow-up score was 9.2±5.9. Outcome data were available for 72% of the patients. About 48% of the patients had a favorable treatment response. The best-fitting random-forest models yielded a correlation between predicted and observed follow-up scores of 0.38 (95% CI=0.32-0.45) and an area under the receiver operating characteristic curve for a favorable response of 0.57 (95% CI=0.52-0.61). Results were similar for penalized regression models and for models predicting last PHQ-9 score during follow-up. Conclusions: Prediction models using EHR data were not accurate enough to inform recommendations for or against starting antidepressant medication. Personalization of depression treatment should instead rely on systematic assessment of early outcomes.
MeSH term(s)	Humans ; Antidepressive Agents/therapeutic use ; Female ; Male ; Middle Aged ; Adult ; Electronic Health Records/statistics & numerical data ; Washington ; Machine Learning ; Young Adult ; Patient Health Questionnaire ; Depressive Disorder/drug therapy ; Outcome Assessment, Health Care/statistics & numerical data ; Community Mental Health Services/statistics & numerical data ; Aged
Chemical Substances	Antidepressive Agents
Language	English
Publishing date	2023-12-05
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	1220173-x
ISSN	1557-9700 ; 1075-2730
ISSN (online)	1557-9700
ISSN	1075-2730
DOI	10.1176/appi.ps.20230380
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 416: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Measuring Outcome of Depression: It Is Complicated.

Coley, R Yates / Boggs, Jennifer M / Simon, Gregory E

Psychiatric services (Washington, D.C.)

2020 Volume 71, Issue 5, Page(s) 528

MeSH term(s)	Benchmarking ; Bereavement ; Depression ; Grief
Language	English
Publishing date	2020-04-27
Publishing country	United States
Document type	Letter ; Comment
ZDB-ID	1220173-x
ISSN	1557-9700 ; 1075-2730
ISSN (online)	1557-9700
ISSN	1075-2730
DOI	10.1176/appi.ps.71502
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 416: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: PLACK syndrome resulting from a novel homozygous variant in CAST.

Boggs, Jennifer M E / Irvine, Alan D

Pediatric dermatology

2020 Volume 38, Issue 1, Page(s) 210–212

Abstract: PLACK syndrome (OMIM 616295) is a form of generalized peeling skin syndrome (GPSS; OMIM 270300). It is an autosomal recessive genodermatosis caused by pathogenic mutations in CAST, which encodes calpastatin, an endogenous specific inhibitor of calpain, a ...

Abstract	PLACK syndrome (OMIM 616295) is a form of generalized peeling skin syndrome (GPSS; OMIM 270300). It is an autosomal recessive genodermatosis caused by pathogenic mutations in CAST, which encodes calpastatin, an endogenous specific inhibitor of calpain, a calcium-dependent cysteine protease. We present a 5-year-old girl diagnosed with PLACK syndrome with typical clinical features and homozygosity for a novel variant.
MeSH term(s)	Child, Preschool ; Female ; Homozygote ; Humans ; Mutation ; Skin Diseases ; Syndrome
Language	English
Publishing date	2020-10-03
Publishing country	United States
Document type	Case Reports
ZDB-ID	605539-4
ISSN	1525-1470 ; 0736-8046
ISSN (online)	1525-1470
ISSN	0736-8046
DOI	10.1111/pde.14383
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 1882: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Article ; Online: Predicting outcomes of psychotherapy for depression with electronic health record data.

Coley, R Yates / Boggs, Jennifer M / Beck, Arne / Simon, Gregory E

Journal of affective disorders reports

2021 Volume 6, Page(s) 100198

Abstract: Predictive analytics with electronic health record (EHR) data holds promise for improving outcomes of psychiatric care. This study evaluated models for predicting outcomes of psychotherapy for depression in a clinical practice setting. EHR data from two ... ...

Abstract	Predictive analytics with electronic health record (EHR) data holds promise for improving outcomes of psychiatric care. This study evaluated models for predicting outcomes of psychotherapy for depression in a clinical practice setting. EHR data from two large integrated health systems (Kaiser Permanente Colorado and Washington) included 5,554 new psychotherapy episodes with a baseline Patient Health Questionnaire (PHQ-9) score ≥ 10 and a follow-up PHQ-9 14-180 days after treatment initiation. Baseline predictors included demographics and diagnostic, medication, and encounter history. Prediction models for two outcomes-follow-up PHQ-9 score and treatment response (≥ 50% PHQ-9 reduction)-were trained in a random sample of 70% of episodes and validated in the remaining 30%. Two methods were used for modeling: generalized linear regression models with variable selection and random forests. Sensitivity analyses considered alternate predictor, outcome, and model specifications. Predictions of follow-up PHQ-9 scores poorly estimated observed outcomes (mean squared error = 31 for linear regression, 40 for random forest). Predictions of treatment response had low discrimination (AUC = 0.57 for logistic regression, 0.61 for random forest), low classification accuracy, and poor calibration. Sensitivity analyses showed similar results. We note that prediction model performance may vary for settings with different care or EHR documentation practices. In conclusion, prediction models did not accurately predict depression treatment outcomes despite using rich EHR data and advanced analytic techniques. Health systems should proceed cautiously when considering prediction models for psychiatric outcomes using baseline intake information. Transparent research should be conducted to evaluate performance of any model intended for clinical use.
Language	English
Publishing date	2021-07-24
Publishing country	Netherlands
Document type	Journal Article
ISSN	2666-9153
ISSN (online)	2666-9153
DOI	10.1016/j.jadr.2021.100198
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article: Reducing Firearm Access for Suicide Prevention: Implementation Evaluation of the Web-Based "Lock to Live" Decision Aid in Routine Health Care Encounters.

Richards, Julie Angerhofer / Kuo, Elena / Stewart, Christine / Shulman, Lisa / Parrish, Rebecca / Whiteside, Ursula / Boggs, Jennifer M / Simon, Gregory E / Rowhani-Rahbar, Ali / Betz, Marian E

JMIR medical informatics

2024 Volume 12, Page(s) e48007

Abstract: Background: "Lock to Live" (L2L) is a novel web-based decision aid for helping people at risk of suicide reduce access to firearms. Researchers have demonstrated that L2L is feasible to use and acceptable to patients, but little is known about how to ... ...

Abstract	Background: "Lock to Live" (L2L) is a novel web-based decision aid for helping people at risk of suicide reduce access to firearms. Researchers have demonstrated that L2L is feasible to use and acceptable to patients, but little is known about how to implement L2L during web-based mental health care and in-person contact with clinicians. Objective: The goal of this project was to support the implementation and evaluation of L2L during routine primary care and mental health specialty web-based and in-person encounters. Methods: The L2L implementation and evaluation took place at Kaiser Permanente Washington (KPWA)-a large, regional, nonprofit health care system. Three dimensions from the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) model-Reach, Adoption, and Implementation-were selected to inform and evaluate the implementation of L2L at KPWA (January 1, 2020, to December 31, 2021). Electronic health record (EHR) data were used to purposefully recruit adult patients, including firearm owners and patients reporting suicidality, to participate in semistructured interviews. Interview themes were used to facilitate L2L implementation and inform subsequent semistructured interviews with clinicians responsible for suicide risk mitigation. Audio-recorded interviews were conducted via the web, transcribed, and coded, using a rapid qualitative inquiry approach. A descriptive analysis of EHR data was performed to summarize L2L reach and adoption among patients identified at high risk of suicide. Results: The initial implementation consisted of updates for clinicians to add a URL and QR code referencing L2L to the safety planning EHR templates. Recommendations about introducing L2L were subsequently derived from the thematic analysis of semistructured interviews with patients (n=36), which included (1) "have an open conversation," (2) "validate their situation," (3) "share what to expect," (4) "make it accessible and memorable," and (5) "walk through the tool." Clinicians' interviews (n=30) showed a strong preference to have L2L included by default in the EHR-based safety planning template (in contrast to adding it manually). During the 2-year observation period, 2739 patients reported prior-month suicide attempt planning or intent and had a documented safety plan during the study period, including 745 (27.2%) who also received L2L. Over four 6-month subperiods of the observation period, L2L adoption rates increased substantially from 2% to 29% among primary care clinicians and from <1% to 48% among mental health clinicians. Conclusions: Understanding the value of L2L from users' perspectives was essential for facilitating implementation and increasing patient reach and clinician adoption. Incorporating L2L into the existing system-level, EHR-based safety plan template reduced the effort to use L2L and was likely the most impactful implementation strategy. As rising suicide rates galvanize the urgency of prevention, the findings from this project, including L2L implementation tools and strategies, will support efforts to promote safety for suicide prevention in health care nationwide.
Language	English
Publishing date	2024-04-22
Publishing country	Canada
Document type	Journal Article
ZDB-ID	2798261-0
ISSN	2291-9694
ISSN	2291-9694
DOI	10.2196/48007
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: A Randomized Control Trial of a Digital Health Tool for Safer Firearm and Medication Storage for Patients with Suicide Risk.

Boggs, Jennifer M / Quintana, LeeAnn M / Beck, Arne / Clarke, Christina L / Richardson, Laura / Conley, Amy / Buckingham, Edward T / Richards, Julie E / Betz, Marian E

Prevention science : the official journal of the Society for Prevention Research

2024 Volume 25, Issue 2, Page(s) 358–368

Abstract: Most patients with suicide risk do not receive recommendations to reduce access to lethal means due to a variety of barriers (e.g., lack of provider time, training). Determine if highly efficient population-based EHR messaging to visit the Lock to Live ( ... ...

Abstract	Most patients with suicide risk do not receive recommendations to reduce access to lethal means due to a variety of barriers (e.g., lack of provider time, training). Determine if highly efficient population-based EHR messaging to visit the Lock to Live (L2L) decision aid impacts patient-reported storage behaviors. Randomized trial. Integrated health care system serving Denver, CO. Served by primary care or mental health specialty clinic in the 75-99.5th risk percentile on a suicide attempt or death prediction model. Lock to Live (L2L) is a web-based decision aid that incorporates patients' values into recommendations for safe storage of lethal means, including firearms and medications. Anonymous survey that determined readiness to change: pre-contemplative (do not believe in safe storage), contemplative (believe in safe storage but not doing it), preparation (planning storage changes) or action (safely storing). There were 21,131 patients randomized over a 6-month period with a 27% survey response rate. Many (44%) had access to a firearm, but most of these (81%) did not use any safe firearm storage behaviors. Intervention patients were more likely to be categorized as preparation or action compared to controls for firearm storage (OR = 1.30 (1.07-1.58)). When examining action alone, there were no group differences. There were no statistically significant differences for any medication storage behaviors. Selection bias in those who responded to survey. Efficiently sending an EHR invitation message to visit L2L encouraged patients with suicide risk to consider safer firearm storage practices, but a stronger intervention is needed to change storage behaviors. Future studies should evaluate whether combining EHR messaging with provider nudges (e.g., brief clinician counseling) changes storage behavior.ClinicalTrials.gov: NCT05288517.
MeSH term(s)	Humans ; Counseling ; Digital Health ; Firearms ; Suicide Prevention ; Violence
Language	English
Publishing date	2024-01-11
Publishing country	United States
Document type	Randomized Controlled Trial ; Journal Article
ZDB-ID	2251270-6
ISSN	1573-6695 ; 1389-4986
ISSN (online)	1573-6695
ISSN	1389-4986
DOI	10.1007/s11121-024-01641-6
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 6466: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

To top

Full text online

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito