rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: A
    title: guide for participatory systems analysis using a group model building approach
  name:
    name part: Lembani, Martina
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: de Pinho, Helen
    role:
      role term: author.
  name:
    name part: Delobelle, Peter
    role:
      role term: author.
  name:
    name part: Zarowsky, Christina
    role:
      role term: author.
  name:
    name part: Mathole, Thubelihle
    role:
      role term: author.
  name:
    name part: Ager, Alastair
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: enk
    date issued: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations.
  abstract: Systems dynamics analysis using group model building, and in particular the identification of feedback loops linking various factors, can be used effectively to highlight leverage points for interventions. Producing such analysis through a participative group modeling process that engages a broad range of stakeholders provides the basis for a shared understanding of key problems and identification of potential solutions. Securing a means for collaborative analysis within local health systems facing any form of adversity is a key step toward solving health systems challenges. Group model building can provide an efficient means for supporting stakeholders in recognizing and appreciating valuable resources within their context and identifying systems dynamics that can provide plausible mechanisms to strengthen systems performance.
  target audience: specialized
  note: Martina Lembani, Helen de Pinho, Peter Delobelle, Christina Zarowsky, Thubelihle Mathole, Alastair Ager.
  note: Includes bibliographical references and index.
  subject:
    topic: Public health
    topic: Evaluation
  subject:
    topic: System analysis
    topic: Data processing
  subject:
    topic: Santé publique
    topic: Évaluation
  subject:
    topic: Analyse de systèmes
    topic: Informatique
  subject:
    topic: Public health
    topic: Evaluation
  subject:
    topic: System analysis
    topic: Data processing
  classification: RA440.4 .L46 2020
  classification: 362.10723
  related item:
    title info:
      title: SAGE Research Methods Cases : Medicine and Health
  identifier: 9781529735123
  identifier: 1529735122
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 200324
    record change date: 20240923170438.8
    record identifier: in00005495918
    language of cataloging:
      language term: eng