Literature DB >> 26437137

Monitoring Resource Utilization in a Health Care Coordination Program.

Lori L Popejoy1, Julie Jaddoo, Jan Sherman, Christopher Howk, Raymond Nguyen, Jerry C Parker.   

Abstract

PURPOSE OF THE STUDY: This initial article describes the development of a health care coordination intervention and documentation system designed using the Agency for Healthcare Research and Quality (AHRQ) Care Coordination Atlas framework for Centers for Medicare & Medicaid-funded innovation project, Leveraging Information Technology to Guide High-Tech, High-Touch Care (LIGHT). PRIMARY PRACTICE SETTING(S): The study occurred at an academic medical center that serves 114 counties. Twenty-five registered nurse care managers (NCMs) were hired to work with 137 providers in 10 family community and internal medicine clinics. METHODOLOGY AND SAMPLE: Patients were allocated into one of the four tiers on the basis of their chronic medical conditions and health care utilization. Using a documentation system on the basis of the AHRQ domains developed for this study, time and touch data were calculated for 8,593 Medicare, Medicaid, or dual-eligible patients.
RESULTS: We discovered through the touch and time analysis that the majority of health care coordination activity occurred in the AHRQ domains of communication, assess needs and goals, and facilitate transitions, accounting for 79% of the NCM time and 61% of the touches. As expected, increasing tier levels resulted in increased use of NCM resources. Tier 3 accounted for roughly 16% of the patients and received 159 minutes/member (33% of total minutes), and Tier 4 accounted for 4% of patients and received 316 minutes/member (17% of all minutes). In contrast Tier 2, which did not require routine touches per protocol, had 5,507 patients (64%), and those patients received 5,246 hours of health care coordination, or 57 minutes/member, and took 48% of NCM time. IMPLICATIONS FOR CASE MANAGEMENT: 1. The AHRQ Care Coordination Atlas offered a systematic way to build a documentation system that allowed for the extraction of data that was used to calculate the amount of time and the number of touches that NCMs delivered per member. 2. Using a framework to systematically guide the work of health care coordination helped NCMs to think strategically about the care being delivered, and has implications for improving coordination of care. 3. For the purpose of reimbursement and communication with payers about quality metrics, it is vital that the type of touches and amount of time spent in delivering care coordination be documented in a manner that can be easily retrieved to guide practice decisions.

Entities:  

Mesh:

Year:  2015        PMID: 26437137     DOI: 10.1097/NCM.0000000000000120

Source DB:  PubMed          Journal:  Prof Case Manag        ISSN: 1932-8087


  7 in total

1.  Identifying Patients at Risk of High Healthcare Utilization.

Authors:  Lincoln Sheets; Lori Popejoy; Gcns-Bc Aprn; Mohammed Khalilia; Greg Petroski; Jerry C Parker
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

2.  The Effect of Neighborhood Disadvantage on Diabetes Prevalence.

Authors:  Lincoln Sheets; Gregory F Petroski; Julie Jaddoo; Yan Barnett; Chris Barnett; Laura E Henderson Kelley; Vaishnavi Raman; Amy J H Kind; Jerry C Parker
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

3.  Medicare, Metrics and Trust in the Future.

Authors:  Julie Babyar
Journal:  J Med Syst       Date:  2018-07-09       Impact factor: 4.460

4.  Electronic patient agenda forms: comparing agreement between the reason for specialty consultation reported by referring providers and patients.

Authors:  Shahzad Ahmed; Christopher V Almario; William D Chey; Lori A Robbins; Bianca Chang; Joseph Ahn; Jeffrey Ko; Phillip Gu; Alvin Siu; Brennan M R Spiegel
Journal:  Inform Health Soc Care       Date:  2018-03-06       Impact factor: 2.439

5.  Nursing Care Coordination for Patients with Complex Needs in Primary Healthcare: A Scoping Review.

Authors:  Marlène Karam; Maud-Christine Chouinard; Marie-Eve Poitras; Yves Couturier; Isabelle Vedel; Nevena Grgurevic; Catherine Hudon
Journal:  Int J Integr Care       Date:  2021-03-19       Impact factor: 5.120

6.  Individual-Level and Neighborhood-Level Factors Associated with Longitudinal Changes in Cardiometabolic Measures in Participants of a Clinic-Based Care Coordination Program: A Secondary Data Analysis.

Authors:  Sonal J Patil; Mojgan Golzy; Angela Johnson; Yan Wang; Jerry C Parker; Robert B Saper; Debra Haire-Joshu; David R Mehr; Randi E Foraker; Robin L Kruse
Journal:  J Clin Med       Date:  2022-05-20       Impact factor: 4.964

7.  Technology-facilitated care coordination in rural areas: What is needed?

Authors:  Emily Gill; Patricia C Dykes; Robert S Rudin; Marianne Storm; Kelly McGrath; David W Bates
Journal:  Int J Med Inform       Date:  2020-02-19       Impact factor: 4.046

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.