title: Adoption of an algorithm and client pathway for the aged and disabled: training implications for the health and human service sectors.
abstract: OBJECTIVE
  This paper reports on a state agency's training activities undertaken to totally redesign a long-term-care (LTC) delivery system as part of the national Aging and Disability Resource Center (ADRC) initiative.
  
  
  METHODS
  Through the development of an ADRC algorithm and the implementation of a corresponding client pathway, NJ DACS, a division of aging, aligned 14 separate core functions necessary for lifespan services. A Training Academy facilitated the adoption of five new health service delivery products and processes by state and county health and human services personnel.
  
  
  RESULTS
  Intensive training activities resulted in the algorithm and client pathway framework being successfully disseminated in all 21 counties within a short timeframe. Barriers to training were reduced and acceptance of new protocols and processes were facilitated leading to rapid adoption. Implications for training of health and human service personnel are presented. Full adoption of the complete ADRC model across the state was directly linked to agency software integration.
  
  
  CONCLUSIONS
  Promoting standardized service delivery for the aging population through the use of an algorithm and parallel client pathway is feasible as a training model for health care service delivery.
authors.affiliation: Master of Healthcare Administration program, Seton Center for Community Health, Seton Hall University, South Orange, USA.
authors.forename: Anne M
authors.initials: AM
authors.lastname: Hewitt
authors.forename: Patricia A
authors.initials: PA
authors.lastname: Polansky
authors.forename: Nancy
authors.initials: N
authors.lastname: Day
authors.forename: Nancy
authors.initials: N
authors.lastname: Field
authors.forename: Alice
authors.initials: A
authors.lastname: Moore
mesh_terms: D000368:Aged; D000465:Algorithms; D006233:Persons with Disabilities; D006282:Health Personnel / Q000193:education*; D006801:Humans; D009515:New Jersey