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Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79810, first published .
Young woman looking at smartphone in modern kitchen

Evaluating the Effectiveness of Nonpharmacological Self-Management Interventions for Persistent Pain: Protocol for Single-Case Experimental Designs

Evaluating the Effectiveness of Nonpharmacological Self-Management Interventions for Persistent Pain: Protocol for Single-Case Experimental Designs

Nancy Sturman   1 , MBChB, BA, PhD ;   Jane Nikles   1 , MBBS, PhD ;   Peter Worthy   2 , LLB, PhD ;   Shauna Fjaagesund   1, 3 , MBA ;   Rachel A Elphinston   4, 5, 6 , BSc, PhD ;   Nicole Andrews   4, 5, 7, 8 , BOccThy, PhD ;   Michele Sterling   4, 5 , PhD ;   Stefan Konigorski   9, 10, 11 , MSc, Dr rer nat

1 General Practice Clinical Unit, The University of Queensland, Brisbane, Australia

2 School of Engineering and Computer Science, The University of Queensland, Brisbane, Queensland, Australia

3 Health Hub Doctors Morayfield, Morayfield, Queensland, Queensland, Australia

4 RECOVER Injury Research Centre, The University of Queensland, Brisbane, Queensland, Australia

5 STARS Education and Research Alliance, Surgical Treatment and Rehabilitation Service (STARS), The University of Queensland and Metro North Health, Brisbane, Queensland, Australia

6 NHMRC Centre of Research Excellence: Better Health Outcomes for Compensable Injury, The University of Queensland, Brisbane, Queensland, Australia

7 Tess Cramond Pain and Research Centre, The Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Herston, Australia

8 The Occupational Therapy Department, The Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Herston, Australia

9 Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Brandenburg, Germany

10 Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States

11 Department of Computational Precision Nutrition, German Institute of Human Nutrition, Nuthetal, Germany

Corresponding Author:

  • Stefan Konigorski, MSc, Dr rer nat
  • Hasso Plattner Institute, Digital Engineering Faculty
  • University of Potsdam
  • Prof.-Dr.-Helmert-Str. 2-3
  • Potsdam, Brandenburg 14482
  • Germany
  • Phone: 49 33155094858
  • Email: stefan.konigorski@hpi.de