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Fostering problem driven collaboration in a development context: The ASEAN study of health workforce governance

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  • Wesley Teter

Abstract

Transnational challenges such as societal ageing, rapid epidemiological transitions from managing chronic disease and infectious disease such as COVID-19, and environmental vulnerabilities raise urgent concerns for collaborative governance. This study addresses the challenges of monitoring outcomes and accountabilities i n a development context. Problem-driven collaboration, with a focus on identifying urgent, locally defined problems offers a potential solution to designing relevant performance management systems. Based on a case-survey design, the study analyses two collaborative governance networks in the Association of Southeast Asian Nations (ASEAN) promoting the mobility of health workers. The analysis draws on 20 (n = 20) in-depth interviews with high-level country delegates and officials and a content analysis of 380 confidential reports from 10 countries in ASEAN. The results provide a deeper understanding of how a problem-driven approach can foster collaborative governance and overcome barriers to policy implementation. Implications for monitoring practices include the role of measuring “felt needs” – perceived gaps in implementation of policy objectives, and how problem-driven collaboration can add value to performance management systems in a development context.

Suggested Citation

  • Wesley Teter, 2020. "Fostering problem driven collaboration in a development context: The ASEAN study of health workforce governance," Asia Pacific Journal of Public Administration, Taylor & Francis Journals, vol. 42(2), pages 89-110, June.
  • Handle: RePEc:taf:rapaxx:v:42:y:2020:i:2:p:89-110
    DOI: 10.1080/23276665.2020.1753222
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    Cited by:

    1. Eko Priyo Purnomo & Agustiyara & Achmad Nurmandi & Arlina Dewi & Elsye Maria Rosa & Agung Huda Bayu & Rima Erviana, 2022. "ASEAN Policy Responses to COVID-19 Pandemic: Adaptation and Experimentation Policy: A Study of ASEAN Countries Policy Volatility for COVID-19 Pandemic," SAGE Open, , vol. 12(1), pages 21582440221, March.

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