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Record W4388516723 · doi:10.1097/jhm-d-23-00214

Building Community for Greater Well-Being

2023· editorial· en· W4388516723 on OpenAlexaboutno aff
Eric W. Ford

Bibliographic record

VenueJournal of Healthcare Management · 2023
Typeeditorial
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingHealth carePublic relationsPsychologyMedical educationSociologyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

The self-help movement has grown dramatically over recent decades. Recently, the notion that any individual can care for themself without community support has been thoroughly debunked. Creating community has both serendipitous and purposeful components. To make the point at the Journal of Healthcare Management (JHM), we decided to engage in some purposeful community-building with the Canadian College of Health Leaders and its journal, Healthcare Management Forum (HMF). The final issues for 2023 of both HMF and JHM are dedicated to behavioral health. Both are publishing new original research that looks at the behavioral health of caregivers as well as patients and their communities. Planning for this special collaboration began last year when the journals posted a joint call for papers. The subsequent submissions underwent the same peer-review process that both journals typically rely upon to ensure scientific rigor. In addition, each journal is presenting a free webinar highlighting a research article published in the other journal. JHM readers will be treated to a discussion of the impact of physician leadership development on behavior and work-related changes from the November issue of HMF. Look for a detailed announcement in ACHe-news. Given the large number of submissions received and the great interest in behavioral health issues among readers, JHM will highlight additional research on the topic in 2024. With all that noted, it's on to the issue at hand. ... IN THIS ISSUE Beyond the research articles, JHM's regular healthcare leader interview and feature column also present diverse perspectives on behavioral health. The interview is with Wayne Young, FACHE, CEO of The Harris Center for Mental Health and IDD in Houston, Texas. Young is leading a remarkable organization that is taking on some of the toughest healthcare issues in one of America's most diverse and expansive communities. Battling endemic substance addictions and other behavioral health challenges on this scale is a Herculean task. The success of The Harris Center's innovative healthcare-centered approach to law enforcement calls associated with mental health is remarkable. Guest contributor Melinda L. Estes, MD, president and CEO of Saint Luke's Health System in Kansas City, Missouri, provides the feature column. Dr. Estes addresses the topic of childhood trauma and its pernicious, persistent impact on society. As the leader of Saint Luke's trailblazing Crittenton Children's Center, Dr. Estes outlines steps to stem the crisis and make the U.S. healthcare system more efficacious in those efforts. The first empirical research article comes from Jeffrey Glenn, DrPH, Danica Gibson, and Heather F. Thiesset, PhD. They asked physicians whether the electronic health record (EHR) helps in avoiding opioid misuse and addiction through enhanced decision support. Their results beg some important questions if, as they reveal, the EHR is helping only 34% of physicians prevent opioid misuse and addiction. The next article describes Mayo Clinic's employee assistance program (EAP). Gregory P. Couser, MD, Jody L. Nation, Dennis P. Apker, PhD, Susan M. Connaughty, and Mark A. Hyde, share their organization's experiences with the EAP implementation and its features. The researchers also recommend ways for other health systems to effectively identify and troubleshoot employee relational issues and allow for customized initiatives to improve mental health through an EAP. Hospitalization is one of the most stressful developments a family can experience. As a result, both the distressed patient and their family members can sometimes create an environment that is unacceptable and dangerous for all concerned. The Johns Hopkins research team of Jennifer M. Katzenstein, PhD, ABPP-CN, Sondra L. Boatman, RN, CNL, CPN, Kevin Newman, RN, CPHRM, CPPS, and Kristin Maier, CPXP, CCLS, describes the implementation of a behavior intervention response team. The program dramatically reduced harmful behaviors. The final article comes from my colleagues at The University of Alabama at Birmingham: Laurence M. Boitet, PhD, Katherine A. Meese, PhD, Megan Hays, PhD, C. Allen Gorman, PhD, Katie Sweeney, and David A. Rogers, MD. They explore the impact of COVID-19 on healthcare workers. Many of their study's subjects reported compassion fatigue, moral distress, and burnout leading to posttraumatic stress symptoms. The magnitude of the problem is staggering, if not surprising. The findings presented here support the development of trauma-informed leadership strategies. This issue of JHM also includes two abstracts from ACHE's 2023 Forum on Advances in Healthcare Management Research, which was held during the Congress on Healthcare Leadership. Featured contributors are Emily Bonazelli, DHA, Lihua Dishman, DBA, FACHE, and John Fick, EdD, FACHE, of A.T. Still University (exploring executive leadership competencies and value-based organizational performance), and Stephen B. Williams, MD, Peter McCaffrey, PhD, David Reynoso, MD, Phillip Keiser, MD, Rick Trevino, John Heymann, MD, Gulshan Doulatram, MD, Abe DeAnda, MD, Timothy J. Harlin, PhD, and Gulshan Sharma, MD, of The University of Texas Medical Branch (promoting the implementation and dissemination of a high-value care program). Eric W. Ford, PhD Editor

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.415
GPT teacher head0.654
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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