Selected article for: "account complexity and longitudinal study analysis"

Author: Palagyi, Anna; Dodd, Rebecca; Jan, Stephen; Nambiar, Devaki; Joshi, Rohina; Tian, Maoyi; Abimbola, Seye; Peiris, David
Title: Organisation of primary health care in the Asia-Pacific region: developing a prioritised research agenda
  • Document date: 2019_8_16
  • ID: zjsjgd31_36
    Snippet: Applying quasiexperimental study designs such as interrupted time series analysis to evaluate longitudinal effects, incorporating codesign principles to ensure the voices of end-users inform context-appropriate interventions and embedding realist evaluation into studies from the outset, will each help to identify and account for health system complexity in future research......
    Document: Applying quasiexperimental study designs such as interrupted time series analysis to evaluate longitudinal effects, incorporating codesign principles to ensure the voices of end-users inform context-appropriate interventions and embedding realist evaluation into studies from the outset, will each help to identify and account for health system complexity in future research.

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