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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.
Afiliação
  • 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 em 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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article