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Medical App Treatment of Non-Specific Low Back Pain in the 12-month Cluster-Randomized Controlled Trial Rise-uP: Where Clinical Superiority Meets Cost Savings.
Priebe, Janosch A; Kerkemeyer, Linda; Haas, Katharina K; Achtert, Katharina; Moreno Sanchez, Leida F; Stockert, Paul; Spannagl, Maximilian; Wendlinger, Julia; Thoma, Reinhard; Jedamzik, Siegfried Ulrich; Reichmann, Jan; Franke, Sebastian; Sundmacher, Leonie; Amelung, Volker E; Toelle, Thomas R.
Affiliation
  • Priebe JA; Center of Interdisciplinary Pain Medicine, Department of Neurology, Klinikum Rechts der Isar, Technical University of Munich (TUM), Munich, Germany.
  • Kerkemeyer L; Institute for Applied Health Services Research, Inav GmbH, Berlin, Germany.
  • Haas KK; Center of Interdisciplinary Pain Medicine, Department of Neurology, Klinikum Rechts der Isar, Technical University of Munich (TUM), Munich, Germany.
  • Achtert K; Institute for Applied Health Services Research, Inav GmbH, Berlin, Germany.
  • Moreno Sanchez LF; Center of Interdisciplinary Pain Medicine, Department of Neurology, Klinikum Rechts der Isar, Technical University of Munich (TUM), Munich, Germany.
  • Stockert P; Bayerische TelemedAllianz, Ingolstadt, Baar-Ebenhausen, Germany.
  • Spannagl M; Center of Interdisciplinary Pain Medicine, Department of Neurology, Klinikum Rechts der Isar, Technical University of Munich (TUM), Munich, Germany.
  • Wendlinger J; Center of Interdisciplinary Pain Medicine, Department of Neurology, Klinikum Rechts der Isar, Technical University of Munich (TUM), Munich, Germany.
  • Thoma R; Center of Interdisciplinary Pain Medicine, Department of Neurology, Klinikum Rechts der Isar, Technical University of Munich (TUM), Munich, Germany.
  • Jedamzik SU; Pain Clinic, Algesiologikum Pain Center, Munich, Germany.
  • Reichmann J; Bayerische TelemedAllianz, Ingolstadt, Baar-Ebenhausen, Germany.
  • Franke S; StatConsult GmbH Magdeburg, Magdeburg, Germany.
  • Sundmacher L; Department of Health Economics, Faculty of Sports and Health Sciences, Technical University of Munich (TUM), Munich, Germany.
  • Amelung VE; Department of Health Economics, Faculty of Sports and Health Sciences, Technical University of Munich (TUM), Munich, Germany.
  • Toelle TR; Institute for Applied Health Services Research, Inav GmbH, Berlin, Germany.
J Pain Res ; 17: 2239-2255, 2024.
Article in En | MEDLINE | ID: mdl-38952994
ABSTRACT

Purpose:

Non-specific low back pain (NLBP) exerts a profound impact on global health and economics. In the era of Web 3.0, digital therapeutics offer the potential to improve NLBP management. The Rise-uP trial introduces a digitally anchored, general practitioner (GP)-focused back pain management approach with the Kaia back pain app as the key intervention. Here, we present the 12-months evaluation of the Rise-uP trial including clinical and economic outcomes, patient satisfaction and behavioral tracking analysis.

Methods:

The cluster-randomized controlled study (registration number DRKS00015048) enrolled 1237 patients, with 930 receiving treatment according to the Rise-uP approach and 307 subjected to standard of care treatment. Assessments of pain, psychological state, functional capacity, and well-being (patient-reported outcome measures; PROMs) were collected at baseline, and at 3-, 6-, and 12-months follow-up intervals. Health insurance partners AOK, DAK, and BARMER provided individual healthcare cost data. An artificial intelligence (AI)-driven behavioral tracking analysis identified distinct app usage clusters that presented all with about the same clinical outcome. Patient satisfaction (patient-reported experience measures; PREMs) was captured at the end of the trial.

Results:

Intention-to-treat (ITT) analysis demonstrated that the Rise-uP group experienced significantly greater pain reduction at 12 months compared to the control group (IG -46% vs CG -24%; p < 0.001) with only the Rise-uP group achieving a pain reduction that was clinically meaningful. Improvements in all other PROMs were notably superior in patients of the Rise-uP group. The AI analysis of app usage discerned four usage clusters. Short- to long-term usage, all produced about the same level of pain reduction. Cost-effectiveness analysis indicated a substantial economic benefit for Rise-uP.

Conclusion:

The Rise-uP approach with a medical multimodal back pain app as the central element of digital treatment demonstrates both, clinical and economic superiority compared to standard of care in the management of NLBP.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Pain Res Year: 2024 Document type: Article Affiliation country: Alemania Country of publication: Nueva Zelanda

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Pain Res Year: 2024 Document type: Article Affiliation country: Alemania Country of publication: Nueva Zelanda