IDEAS home Printed from https://ideas.repec.org/a/eee/epplan/v80y2020ics0149718917301386.html
   My bibliography  Save this article

Valuing and embracing complexity: How an understanding of complex interventions needs to shape our evaluation capacities building initiatives

Author

Listed:
  • Sridharan, Sanjeev
  • Nakaima, April

Abstract

This paper describes some of the main challenges of evaluating complex interventions, as well as the implications of such challenges for evaluation capacity building. It discusses lessons learned from a case study of an evaluation of Dancing with Parkinson’s, an organization that provides dance classes to people with Parkinson’s disease in Toronto, Canada. These implications are developed from a realist evaluation lens. Key lessons include the need to develop skills to understand program mechanisms and contexts, recognize multiple models of causality, apply mixed method designs, and ensure the successful scaling up and spread of an intervention.

Suggested Citation

  • Sridharan, Sanjeev & Nakaima, April, 2020. "Valuing and embracing complexity: How an understanding of complex interventions needs to shape our evaluation capacities building initiatives," Evaluation and Program Planning, Elsevier, vol. 80(C).
  • Handle: RePEc:eee:epplan:v:80:y:2020:i:c:s0149718917301386
    DOI: 10.1016/j.evalprogplan.2017.05.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0149718917301386
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.evalprogplan.2017.05.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sridharan, Sanjeev & Jones, Bobby & Caudill, Barry & Nakaima, April, 2016. "Steps towards incorporating heterogeneities into program theory: A case study of a data-driven approach," Evaluation and Program Planning, Elsevier, vol. 58(C), pages 88-97.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nakaima, April & Sridharan, Sanjeev & Gibson, Rachael, 2023. "Towards an evolutionary approach to learning from assumptions: Lessons from the evaluation of Dancing with Parkinson’s," Evaluation and Program Planning, Elsevier, vol. 97(C).
    2. Teasdale, Rebecca M., 2022. "Representing the values of program participants: Endogenous evaluative criteria," Evaluation and Program Planning, Elsevier, vol. 94(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sridharan, Sanjeev & Nakaima, April, 2023. "Learning from experiences of evaluators implementing theory-driven evaluations in diverse settings: Building on the contributions of John Mayne," Evaluation and Program Planning, Elsevier, vol. 97(C).
    2. Nakaima, April & Sridharan, Sanjeev & Gibson, Rachael, 2023. "Towards an evolutionary approach to learning from assumptions: Lessons from the evaluation of Dancing with Parkinson’s," Evaluation and Program Planning, Elsevier, vol. 97(C).
    3. Myrta Kohler & Hanna Mayer & Jürg Kesselring & Susi Saxer, 2020. "Urinary incontinence in stroke survivors – Development of a programme theory," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(15-16), pages 3089-3096, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:epplan:v:80:y:2020:i:c:s0149718917301386. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/evalprogplan .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.