Literature DB >> 29845999

Behavioral Health's Integration Within a Care Network and Health Care Utilization.

Chandler McClellan1, Thomas J Flottemesch2, Mir M Ali1, Jenna Jones2, Ryan Mutter1, Andriana Hohlbauch2, Daniel Whalen2, Nils Nordstrom2.   

Abstract

OBJECTIVE: Examine how behavioral health (BH) integration affects health care costs, emergency department (ED) visits, and inpatient admissions. DATA SOURCES/STUDY
SETTING: Truven Health MarketScan Research Databases. STUDY
DESIGN: Social network analysis identified "care communities" (providers sharing a high number of patients) and measured BH integration in terms of how connected, or central, BH providers were to other providers in their community. Multivariable generalized linear models adjusting for age, sex, number of prescriptions, and Charlson comorbidity score were used to estimate the relationship between the centrality of BH providers and health care utilization of BH patients. DATA COLLECTION/EXTRACTION
METHODS: Used outpatient, inpatient, and pharmacy claims data from six Medicaid plans from 2011 to 2013 to identify study outcomes, comorbidities, providers, and health care encounters. PRINCIPAL
FINDINGS: Behavioral health centrality ranged from 0 (no BH providers) to 0.49. Relative to communities at the median BH centrality (0.06), in 2012, BH patients in communities at the 75th percentile of BH centrality (0.31) had 0.2 fewer admissions, 2.1 fewer all-cause ED visits, and accrued $1,947 fewer costs, on average.
CONCLUSIONS: Increased behavioral centrality was significantly associated with a reduced number of ED visits, less frequent inpatient admissions, and lower overall health care costs. © Health Research and Educational Trust.

Entities:  

Keywords:  Social network analysis; emergency and hospital utilization; health care costs; integrated behavioral network; mental health; substance use disorder

Mesh:

Year:  2018        PMID: 29845999      PMCID: PMC6232391          DOI: 10.1111/1475-6773.12983

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  26 in total

1.  What promotes and inhibits cooperation in mental health care across disciplines, services and service sectors? A qualitative study.

Authors:  A Bramesfeld; C Ungewitter; D Böttger; Jurdi J El; C Losert; R Kilian
Journal:  Epidemiol Psychiatr Sci       Date:  2012-03       Impact factor: 6.892

2.  Physician Networks and Ambulatory Care-sensitive Admissions.

Authors:  Lawrence P Casalino; Michael F Pesko; Andrew M Ryan; David J Nyweide; Theodore J Iwashyna; Xuming Sun; Jayme Mendelsohn; James Moody
Journal:  Med Care       Date:  2015-06       Impact factor: 2.983

Review 3.  Strategies for improving and expanding the application of health status measures in clinical settings. A researcher-developer viewpoint.

Authors:  R A Deyo; W B Carter
Journal:  Med Care       Date:  1992-05       Impact factor: 2.983

4.  Effect of physician collaboration network on hospitalization cost and readmission rate.

Authors:  Shahadat Uddin; Liaquat Hossain; Margaret Kelaher
Journal:  Eur J Public Health       Date:  2011-10-27       Impact factor: 3.367

5.  An analysis of patient-sharing physician networks and implantable cardioverter defibrillator therapy.

Authors:  Erika L Moen; Andrea M Austin; Julie P Bynum; Jonathan S Skinner; A James O'Malley
Journal:  Health Serv Outcomes Res Methodol       Date:  2016-06-27

6.  Use of social network analysis to describe service links for farmers' mental health.

Authors:  Jeffrey Fuller; Brian Kelly; Gina Sartore; Lynne Fragar; Anne Tonna; Georgia Pollard; Trevor Hazell
Journal:  Aust J Rural Health       Date:  2007-04       Impact factor: 1.662

7.  A study of physician collaborations through social network and exponential random graph.

Authors:  Shahadat Uddin; Liaquat Hossain; Jafar Hamra; Ashraful Alam
Journal:  BMC Health Serv Res       Date:  2013-06-26       Impact factor: 2.655

Review 8.  Health professional networks as a vector for improving healthcare quality and safety: a systematic review.

Authors:  Frances C Cunningham; Geetha Ranmuthugala; Jennifer Plumb; Andrew Georgiou; Johanna I Westbrook; Jeffrey Braithwaite
Journal:  BMJ Qual Saf       Date:  2011-11-30       Impact factor: 7.035

9.  Understanding the discriminant factors that influence the adoption and use of clinical communities of practice: the ECOPIH case.

Authors:  David Lacasta Tintorer; Souhel Flayeh Beneyto; Josep Maria Manresa; Pere Torán-Monserrat; Ana Jiménez-Zarco; Joan Torrent-Sellens; Francesc Saigí-Rubió
Journal:  BMC Health Serv Res       Date:  2015-09-10       Impact factor: 2.655

10.  Optimal Network for Patients with Severe Mental Illness: A Social Network Analysis.

Authors:  Vincent Lorant; James Nazroo; Pablo Nicaise
Journal:  Adm Policy Ment Health       Date:  2017-11
View more
  1 in total

1.  Assessing the Association Between Network-based Provider Communities and Patient Mortality in the Medicare Population with Multiple Chronic Conditions.

Authors:  Yoonyoung Park; Panagiotis D Karampourniotis; Issa Sylla; Gigi Yuen-Reed; Amar K Das
Journal:  AMIA Annu Symp Proc       Date:  2022-05-23
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.