Skip to main content
Erschienen in:

Open Access 21.01.2025 | Original Research

Real-World-Evidence of Digital Health Applications (DiGAs) in Rheumatology: Insights from the DiGAReal Registry

verfasst von: Alexander Albrecht, Jule Taubmann, Ioanna Minopoulou, Lukas Hatscher, Stefan Kleinert, Felix Mühlensiepen, Martin Welcker, Jan Leipe, Nils Schulz, Philipp Klemm, Axel Hueber, Georg Schett, Sebastian Kuhn, Hannah Labinsky, Johannes Knitza

Erschienen in: Rheumatology and Therapy | Ausgabe 2/2025

Abstract

Introduction

Prescribable digital health applications (DiGAs) present scalable solutions to improve patient self-management in rheumatology, however real-world evidence is scarce. Therefore, we aimed to assess the effectiveness, usage, and usability of DiGAs prescribed by rheumatologists, as well as patient satisfaction.

Methods

The DiGAReal registry includes adult patients with rheumatic conditions who received a DiGA prescription. Data at baseline (T0) and the 3-month follow-up (T1) were collected through electronic questionnaires. Study outcomes included DiGA-specific outcome assessments as well as generic outcome assessments, including the Patient Global Impression of Change (PGIC), Patient Activation Measure (PAM®), and the German Telehealth Usability and Utility Short Questionnaire (TUUSQ). Changes between T0 and T1 were analyzed using descriptive statistics and paired tests.

Results

A total of 191 patients were included between June 2022 and April 2023. Of these, 127 completed the 3-month follow-up, and 114 reported using the prescribed DiGA, with 66% reporting weekly use and 15% completing the full DiGA program. The most commonly prescribed DiGAs targeted pain management (53%). Symptom improvement was reported by 51% of patients using a DiGA, with significant reductions in exhaustion levels (p = 0.03). Significant DiGA-specific improvements were observed for DiGAs addressing back pain (p = 0.05) and insomnia (p = 0.006). However, no overall significant changes were detected in patient activation, health literacy, pain, overall health, or disease activity. Back pain and weight management DiGAs were the most effective, frequently used, and best-rated DiGAs, with symptom improvements reported by 50% to 82% of patients.

Conclusion

The findings suggest that DiGAs can improve symptom management in rheumatic patients, especially for conditions like back pain and weight control. Further real-world evidence is needed and may support value-based digital health efforts and reimbursement frameworks.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1007/​s40744-025-00744-y.
Hannah Labinsky and Johannes Knitza share last authorship.
Key Summary Points
Why carry out this study?
Despite advancements in pharmacological treatments, complete disease remission in rheumatology remains challenging, creating a need for holistic approaches, including lifestyle changes and non-pharmacological treatments
Prescribable digital health applications (DiGAs) present a promising solution for enhancing patient self-management
The aim was to assess the effectiveness, usage, and usability of DiGAs prescribed by rheumatologists, as well as patient satisfaction
What has been learned from the study?
In this first multicenter rheumatology DiGA study, most patients reported regular DiGA usage, with improvements in symptoms, especially for back pain and weight management
The results of this study may inform value-based digital health reimbursement frameworks and provide valuable insights for patients and clinicians

Introduction

Despite significant advancements in pharmacological treatments over the past decades, achieving complete disease remission in rheumatology remains challenging, indicating a potential “glass ceiling” in current therapeutic approaches [1]. Many patients continue to suffer from a substantial symptom burden and a diminished quality of life, highlighting the need for a more holistic approach to care [2]. A more comprehensive strategy has been recommended that involves lifestyle modifications, effective comorbidity management, and the integration of non-pharmacological treatments to optimize patient outcomes [26].
In clinical practice, rheumatologists often face difficulties in providing comprehensive support for all of these aspects due to time constraints and a lack of expertise in areas beyond their specialization [7]. External support services are frequently difficult for patients to access, often involving high out-of-pocket costs or extended waiting times, thereby leaving patients to navigate these challenges largely on their own [8]. Addressing this gap in care, the European Alliance of Associations for Rheumatology (EULAR) actively recommends that rheumatologists incorporate digital health solutions to offer the much-needed support to optimize patient self-management [3, 9].
Prescribable digital health applications (DiGAs) offer a promising and innovative solution to harness this untapped potential [10]. They provide a means to enhance patient self-management through evidence-based, on-demand treatment support. In 2019, Germany introduced a regulatory and legislative framework facilitating the prescription and reimbursement of approved DiGAs. These digital medical products deliver scalable, accessible, and personalized care options that can be seamlessly integrated into clinical practice. The German Federal Institute for Drugs and Medical Devices (BfArM) is responsible for evaluating the safety and effectiveness of DiGAs and maintains a growing registry of approved and prescribable applications. As of October 2024, 64 DiGAs have been approved, with the list continuously expanding [11]. While no DiGA currently targets inflammatory rheumatic diseases directly, several key comorbidities associated with these conditions, such as chronic pain, depression, back pain, smoking, and overweight, can be effectively managed through DiGAs [12]. By addressing these critical aspects of patient health, DiGAs have the potential to significantly enhance the comprehensive management of rheumatic diseases, leading to better patient outcomes and improved quality of life [10, 12, 13].
In 2024, Germany passed the DigiG law amendment, introducing a 20% performance-based pricing component starting in 2026, which will be determined by patient-centered real-world outcomes, including patient-reported outcomes and experience measures (PROMs and PREMs, respectively), and usage data of DiGAs. Despite the potential benefits of DiGAs and soon to be legally required collection of real-world evidence, real-world data in rheumatology and beyond is limited [12, 13]. Most available data stem from initial regulatory approval studies, with little to no additional data published beyond these trials. This lack of real-world evidence presents a substantial barrier to the broader implementation of DiGAs [1416], leaving uncertainty about their true value. Physicians and stakeholders have repeatedly called for independent, scientifically rigorous evaluations to provide unbiased assessments, separate from those of DiGA manufacturers [12, 13, 15, 17].
To address this gap, the aim of this prospective multicenter registry was to provide the first real-world assessment framework piloted in rheumatology.

Methods

Study Design and Setting

The DiGAReal registry was approved by the Institutional Review Board of the Medical Faculty of the University of Erlangen-Nürnberg, Germany (Reg No. 22-113-1-B). All procedures followed relevant guidelines and regulations, including the Declaration of Helsinki. Informed consent was obtained from all individual respondents included in the study. Eligible participants included adults (aged ≥ 18 years) presenting to a German rheumatology department who had received a prescription for one of 12 eligible DiGAs (Cara Care, Deprexis, Esysta, HelloBetter-Schmerz, HelloBetter Stress, Kaia Rückenschmerzen, Nichtraucherhelden, Oviva, Selfapy, Somnio, Vivira, Zanadio). This DiGA pre-selection had the consent of all rheumatologists from the participating study centers, based on a discussion of previous DiGA experiences and results of a previous monocentric study [13]. These patients were informed about the registry by the local rheumatology staff and provided written informed consent prior to participation. Upon consent, each patient was assigned a unique registry code, which was used to complete electronic questionnaires at baseline (T0) and at the 3-month follow-up (T1). Demographic data, including age, sex, and disease, were entered into electronic case report forms by local staff using the same registry identification code.

Study Outcomes

All outcomes were self-reported by patients through electronic questionnaires. In accordance with DigiG requirements, these outcomes included DiGA usage, patient-perceived effectiveness, usability, and satisfaction. Both generic and DiGA-specific metrics were assessed to capture a comprehensive understanding of patient experiences and the impact of DiGA on their health.

Baseline Demographic Assessments

The initial T0 questionnaire queried patient’s education status, and their ability (yes/no) to independently and actively participate in virtual meetings (Zoom, Teams, Google Meet). Patients were asked “How motivated are you to tackle the DiGA indication/symptoms?” on a 0–10 numeric rating scale (0 = not at all motivated; 10 = very motivated).

General DiGA Effectiveness

To enable an overarching comparison of DiGA effectiveness, patients completed a core common set of assessments, including the Patient Global Impression of Change (PGIC) questionnaire at T1 by answering “How have your symptoms changed since you started using the DiGA prescribed for your condition?” using one of seven answer options ranging from “very much worse” to”very much improved”. Additionally, at baseline patients answered an adapted version of the PGIC questionnaire: “How well do you think you will be doing with the DiGA compared to now, with regard to your respective therapy goal?” with the original seven answer options. A 3-month time frame (T1) was selected as it aligns with the typical prescription duration of DiGAs,
The German version of the 13-item Patient Activation Measure (PAM®; Phreesia, Inc., Wilmington, DL, USA) [18] was administered at T0 and T1 to evaluate patients' self-management capabilities. Using the official PAM® scoring algorithm the total raw score was converted to a standardized scale ranging from 0 to 100; this score was then categorized into four levels of patient activation, indicating varying degrees of engagement in self-care. The levels, as defined by Hibbard et al. [18], are: (1) recognizing the importance of an active role; (2) gaining confidence and knowledge to take action; (3) actively taking action; and (4) sustaining healthy behaviors even when facing setbacks. An individual score change of 3 to 4 points is considered to be clinically significant, marking the difference between engaging and not engaging in self-care behaviors [19, 20].
Patient health literacy was measured at T0 and T1 using the German 16-item short form of the European Health Literacy Questionnaire (HLS-EU-Q16-GER) [21]. Following standard procedures [22], individual responses were binarized by combining the two positive response categories (“very easy” and “fairly easy,” scored as 1) and the two negative response categories (“fairly difficult” and “very difficult,” scored as 0). The general health literacy score was then calculated as the sum of the 16 binary items. Scores were categorized into three levels: “sufficient” (score 13–16), “problematic” (score 9–12), and “inadequate” (score 1–8).
Additionally, patients completed four 0–10 numeric rating scales at T0 and T1, evaluating current overall health status (0 = worst imaginable health status, 10 = best imaginable health status); level of exhaustion (fatigue) in the past week (0 = no exhaustion, 10 = worst imaginable level of exhaustion); level of pain in the past week (0 = no pain, 10 = worst imaginable pain); and level of disease activity of the primary rheumatic disease in the past week (0 = no disease activity, 10 = very high disease activity).

DiGA-Specific Effectiveness

To assess the indication-specific DiGA effectiveness, each patient completed electronic patient reported outcomes (ePROs), which had been used as the primary outcomes in the respective prior DiGA approval studies (see Electronic Supplementary Material [ESM] Table S1).

DiGA Usage, Utility, Usability, and Satisfaction

At T1, patients reported their average DiGA usage, with frequency options ranging from “not at all” to “daily.” Additionally, the extent of use was queried with options ranging from “never really used it” to “completed the whole program.” The validated 6-item German Telehealth Usability and Utility Short Questionnaire (TUUSQ) [23], which is an adapted, shortened and translated version of the Telehealth Usability Questionnaire (TUQ) [24], was utilized to evaluate DiGA healthcare utility, usability and satisfaction at T1. Patients rated the individual items using on a 7-point Likert scale ranging from 1 (strongly disagree) to 7 (strongly agree).

Statistical Analysis

Statistical analyses were performed using Microsoft Excel 2019 (Microsoft Corp., Redmond, WA, USA) and GraphPad Prism 8 (GraphPad Software, San Diego, CA, USA). A threshold of p < 0.05 was considered to be statistically significant. Descriptive statistics for patient comparisons were presented as the median and interquartile range (IQR, defined as the 25th and 75th percentiles) for continuous variables, and as absolute numbers (n) and percentages for categorical variables. Differences between groups were assessed using the Mann–Whitney U-test for non-parametric data.

Results

A total of 191 patients (Table 1) were enrolled by five German rheumatology centers, of whom 127 completed the 3-month follow-up survey and 114 used the prescribed DiGA (see Fig. 1).
Table 1
Patient demographics
Characteristic
Group
Total n (%)
Gender
Female
139 (72.8%)
Male
52 (27.2%)
Age (in years)
18–29
21 (11.0%)
30–39
32 (16.8%)
40–49
58 (30.4%)
50–59
53 (27.7%)
60–69
27 (14.1%)
Median (IQR)
46 (17)
Highest level of education
Secondary school leaving certificate
13 (6.8%)
General certificate of secondary education
53 (27.7%)
General university entrance qualification
14 (7.3%)
Completed vocational training
66 (34.6%)
Technical college degree
22 (11.5%)
University degree
18 (9.4%)
Not specified
5 (2.6%)
Disease
Rheumatoid arthritis
62 (32.5%)
Axial spondyloarthritis
64 (33.5%)
Psoriatic arthritis
21 (11.0%)
Systemic lupus erythematodes
11 (5.8%)
Systemic sclerosis
7 (3.7%)
Sjogren’s syndrome
3 (1.6%)
Polymyositis/dermatomyositis
3 (1.6%)
Polymyalgia rheumatic
2 (1.0%)
Giant cell arteriitis
1 (0.5%)
Small vessel vasculitis
5 (2.6%)
Sarcoidosis
1 (0.5%)
Fibromyalgia
9 (4.7%)
No defined rheumatic disease diagnosis
5 (2.6%)
Ability to participate in virtual meetings
Yes
158 (82.7%)
No
28 (14.7%)
Not specified
5 (2.6%)
Motivation to use DiGA (NRS 0–10)
Median (IQR)
9 (3)
DiGA Prescribable digital health application, IQR interquartile range, NRS numeric rating scale

General DiGA Effectiveness

At baseline, 108 (95%) and six (5%) of the 114 patients who reported using the prescribed DiGA at the 3-month follow-up anticipated that symptoms would improve or would not to change, respectively, due to DiGA usage (Fig. 2). At the 3-month follow-up, 58 (51%), 52 (46%) and four (4%) of these 114 patients reported improved, unchanged, and worsened symptoms, respectively. The three DiGAs for which The highest percentage of patients who reported an improvement in symptoms were those used the DiGA Kaia Rückenschmerzen (9/11 patients; 82%), followed by the DiGAs Oviva (5/8; 63%) and Vivira (15/25; 60%) (Fig. 3). Table 2 and Fig. 4 illustrate the baseline, 3-months follow-up and change in general DiGA effectiveness outcomes of DiGA users. Overall, no significant differences were observed except for level of exhaustion (median 7.0, IQR 4.0 at baseline vs. median 5.0, IQR 4.0) at 3 months follow-up; p = 0.03). Changes in patients’ PAM® score and health literacy status are shown in ESM Fig. S1 .
Table 2
Baseline, 3-months follow-up, and change in general DiGA effectiveness outcomes of the prescribable digital health application
Outcome
Baseline (T0)
3-Months follow-up (T1)
T0–T1 change
p value
PAM®
n = 114
n = 114
  
Mean ± SD (95% CI)
64.1 ± 11.3 (62.0–66.2)
65.1 ± 11.1 (63.0–67.2)
1.0
0.28
Level 1, n (%)
7 (6.1%)
7 (6.1%)
0
0.76
Level 2, n (%)
10 (8.8%)
15 (13.2%)
+ 5
Level 3, n (%)
68 (59.6%)
63 (55.3%)
− 5
Level 4, n (%)
29 (25.4%)
29 (25.4%)
0
HLS-EU-Q16-GER
n = 110
n = 110
  
Median (IQR)
13.5 (4)
13.0 (4)
− 0.5
0.40
Sufficient, n (%)
66 (60.0%)
61 (56.4%)
− 5
0.79
Problematic, n (%)
33 (30.0%)
37 (36.4%)
+ 4
Inadequate, n (%)
11 (10.0%)
12 (10.9%)
+ 1
Overall health (0–10)
n = 114
n = 114
  
Median (IQR)
6.0 (2.0)
6.0 (3.0)
0
0.85
Level of exhaustion (0–10)
n = 114
n = 114
  
Median (IQR)
7.0 (4.0)
5.0 (4.0)
− 2.0
0.03
Level of pain (0–10)
n = 114
n = 114
  
Median (IQR)
5.0 (3.0)
5.0 (4.25)
0
0.44
Level of disease activity (0–10)
n = 114
n = 114
  
Median (IQR)
5.0 (3.0)
5.0 (3.25)
0
0.74
CI Confidence interval, DiGA prescribable digital health application, HLS-EU-Q16-GER European Health Literacy Survey Questionnaire (HLS-EU-Q), in German, IQR interquartile range, PAM® Patient Activation Measure, SD standard deviation

DiGA-Specific Effectiveness

The DiGA-specific outcome measurements at baseline and the 3-months follow-up of DiGA users are shown in Table 3 and Fig. 5. No significant effects were observed except for Kaia Rückenschmerzen (back pain) and Somnio (insomnia).
Table 3
Baseline, 3-months follow-up and change in prescribable digital health application-specific effectiveness outcomes
DiGA
Outcome
Baseline (T0)
3 months follow-up (T1)
T0–T1 change
p value
Kaia Rückenschmerzen
Level of pain (0–10)
n = 11
n = 11
 
Median (IQR)
5.0 (3.0)
2.0 (1.0)
− 3.0
0.05
Vivira
Level of pain (0–10)
n = 25
n = 25
 
Median (IQR)
4.0 (3.0)
4.0 (2.5)
0
0.96
Hellobetter Chronischer Schmerz
Level of pain (0–10)
n = 32
n = 32
 
Median (IQR)
6.5 (3.75)
5.5 (4.0)
− 1.0
0.10
Selfapy
PHQ-4
n = 1
n = 1
 
Median (IQR)
6.0 (0)
8.0 (0)
2.0
Somnio
ISI
n = 7
n = 7
 
Median (IQR)
18.0 (6.0)
10.0 (9.0)
− 8.0
0.01
Oviva
BMI
n = 8
n = 8
 
Median (IQR)
33.8 (8.4)
35.1 (6.9)
1.3
0.96
Zanadio
BMI
n = 8
n = 8
 
Median (IQR)
37.2 (8.2)
36.2 (8.0)
− 1.0
0.72
Nichtraucher-helden
Cig/d
n = 7
n = 7
 
Median (IQR)
18.0 (5.0)
15.0 (14.0)
− 3.0
0.24
Care care
GSRS
n = 4
n = 4
 
Median (IQR)
45.5 (18.8)
37.0 (33.0)
− 8.5
0.69
Hellobetter Stress and Burnout
PSS-10
n = 8
n = 8
 
Median (IQR)
26.5 (5.3)
22.5 (7.75)
− 4.0
0.11
Deprexis
PHQ-4
n = 3
n = 3
 
Median (IQR)
6.0 (3.0)
4.0 (2.0)
− 2.0
0.3
BMI Body mass index, Cig/d cigarettes/day, DiGA prescribable digital health application, GSRS Gastrointestinal Symptom Rating Scale, IQR interquartile range, ISI Insomnia Severity Index, PHQ-4 Patient Health Questionnaire-4, PSS-10 Perceived Stress Scale

DiGA Usage, Utility, Usability, and Satisfaction

At T1, 13 of 127 (10%) patients reported to have used the DiGA not at all. Of the 114 patients at T1 who reported using the prescribed DiGA, 75 (59%) reported to have used the DiGA at least once a week (Fig. 1), 17 (15%) reported to have completed the complete DiGA program over the 3 months, and 30 (26%) reported to have improved access to care due to the DiGA. The three DiGAs with the highest percentage of patients reporting at least weekly usage were Selfapy (1/1 patients; 100%), followed by Oviva (7/8; 88%), and Kaia Rückenschmerzen (8/11; 73%) (Fig. 3).
Median (IQR) overall TUUSQ score, utility subscale score, and usability subscale scores were 5.0 (3.0), 4.0 (3.0), 6.0 (3.0), respectively (ESM Table S2). The two DiGAs with the highest median TUUSQ scores were Kaia Rückenschmerzen, with a median score of 5.5 (IQR 2.8), and Oviva, also with a median score of 5.5 (IQR 3.0). Overall, 92 out of 114 patients (81%) who used a DiGA reported that it was easy to use, while 57 out of these 114 patients (50%) indicated they would use the respective DiGA again (see Fig. 1). The DiGAs with the highest percentage of patients who found the DiGA easy to use were Kaia Rückenschmerzen (11/11 patients; 100%), Somnio (7/7; 100%), and Selfapy (1/1; 100%), followed by Vivira (23/25; 92%) (Fig. 3). The DiGAs with the highest percentage of patients who would use the DiGA again were Kaia Rückenschmerzen (9/11; 82%), followed by Vivira (16/25; 64%), and Zanadio (5/8; 63%) (Fig. 3).

Discussion

This study provides insights from the first DiGA real-world registry, offering unbiased, manufacturer-independent post-marketing surveillance data. A key strength, as recommended by Mäder et al. [25], is the integration of consistent, generic outcome assessments like the Patient Global Impression of Change alongside DiGA-specific metrics, such as the Insomnia Severity Index. While broad assessments (Fig. 3) allow for overall comparisons, caution is needed to avoid oversimplification. Nonetheless, these registry findings can inform the design of future head-to-head studies and are essential for robust comparisons. By transparently assessing DiGA outcomes, namely, effectiveness, patient satisfaction, and usage, the registry could support performance-based reimbursement, although specific payment conditions are still open to debate [26, 27]. Balancing meaningful data generation with minimizing patient burden will require ongoing adaptation.
Our results show a broad range of DiGAs prescribed by rheumatologists for rheumatic conditions, including rare diseases. Encouragingly, most patients reported regular usage and symptom improvement, although prescription rates, effectiveness, and acceptance varied across DiGAs. Consistent with insurance data [28], the majority of users were female and ranged across age groups, countering the stereotype that only younger individuals use these applications. The most common indication was pain (53%), with DiGAs targeting back pain and chronic pain. Notably, while exhaustion levels improved, no significant changes were found in health literacy, patient activation, or disease activity, possibly due to high baseline scores.
Consistent with the results of a prior monocentric study [13], back pain DiGAs such as Kaia Rückenschmerzen showed the highest improvement in terms of symptoms. Kaia Rückenschmerzen also significantly reduced pain, a benefit not observed with Vivira. The superior outcomes for Kaia Rückenschmerzen may be due to its real-time exercise feedback, which utilizes artificial intelligence (AI)-based motion capture technology through a smartphone camera. In a qualitative study [29], Vivira patients lacked exercise guidance, as this DiGA only offers instructional videos, which may partially explain its lower effectiveness. High usage and improvement rates were reported by patients using DiGAs for weight loss (Oviva and Zanadio), underscoring the link between regular use and benefit.
Despite 66% of patients reporting weekly usage, only 15% completed the entire program over the 3-month period, likely an overestimate due to loss to follow-up. Interestingly, findings from the Rise-uP trial indicate that even partial usage may yield significant benefits [30]. Further research is needed to more accurately identify and predict patients who are likely to use and benefit from DiGAs. Overall, the usability of DiGAs was rated higher than their utility, with TUUSQ ratings aligning with the effectiveness outcomes. This underscores the importance of high usability as a necessary prerequisite for achieving the desired improvements in symptom outcomes [31].
This study has a number of limitations, including the lack of detailed clinical data and of a specific assessment of back pain, as well as the small sample size for certain DiGAs. Another limitation is the considerable number of patients lost to follow-up, which may predominantly include those with poor adherence and/or acceptance. A key strength of the registry is its inclusion of patient-relevant improvements in structure and processes (PISP), specifically the perceived enhancement in access to care, which has not yet been investigated for DiGAs, despite calls for such assessments [32].
With increasing healthcare demands, particularly in rheumatology [33], and widespread smartphone access, digital therapeutics such as DiGAs could enhance access to evidence-based treatments. Although no DiGA for inflammatory rheumatic diseases is currently approved [12], promising early evidence exists for conditions like axial spondyloarthritis, which encourages the inclusion of back exercises in daily routines [34]. DiGAs aimed at mental health may further benefit the quality of life of rheumatic patients [12, 35]. Importantly, digital therapeutics should remain optional and complementary, as mandatory adoption could widen the digital divide and limit access to in-person services. Barriers to implementation include patient adherence and education needs for both patients and providers [16, 29]. Integrating digital therapeutics into official clinical guidelines and providing targeted educational resources could better equip clinicians to incorporate DiGAs effectively.

Conclusions

The broad range of prescribed DiGAs, coupled with the reports that most patients reported weekly usage and symptom improvement, underscores the potential of DiGAs as a scalable and accessible tool for enhancing self-management and symptom relief in rheumatic conditions, particularly for back pain and weight management. However, the variation in effectiveness and fluctuating levels of patient adherence and satisfaction highlight the need for enhanced patient support to fully unlock the potential of DiGAs. The ongoing expansion and refinement of the registry aims to advance value-based digital health in rheumatology and beyond.

Acknowledgements

We thank all patients for their participation in this study and all providers that support this registry. The present work was performed to fulfil the requirements for obtaining the degree 'Dr med' for Alexander Albrecht.

Medical Writing/Editorial Assistance

No other assistance was provided to complete this work.

Declarations

Conflict of Interest

Johannes Knitza declares research support from Abbvie, GSK, and Vila Health; and honoraria and consulting fees from Abbvie, AstraZeneca, BMS, Boehringer Ingelheim, Chugai, GAIA, Galapagos, GSK, Janssen, Lilly, Medac, Novartis, Pfizer, Sobi, Rheumaakademie, UCB, Vila Health, and Werfen. Sebastian Kuhn is founder and shareholder of MED.digital GmbH. Stefan Kleinert and Martin Welcker are members of RheumaDatenRheport GbR which holds shares in the distribution company for the rheumatological application Rhecord. Rhecord was not part of this study. Felix Mühlensiepen declares research support from Abbvie and Novartis. The remaining authors, Alexander Albrecht, Jule Taubmann, Ioanna Minopoulou, Lukas Hatscher, Jan Leipe, Nils Schulz, Philipp Klemm, Axel Hueber, Georg Schett, and Hannah Labinsky, declare no competing interests.

Ethical Approval

The DiGAReal registry was approved by the Institutional Review Board of the Medical Faculty of the University of Erlangen-Nürnberg, Germany (Reg No. 22-113-1-B). All procedures followed relevant guidelines and regulations, including the Declaration of Helsinki. Informed consent was obtained from all individual respondents included in the study.
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by-nc/​4.​0/​.
Anhänge

Supplementary Information

Below is the link to the electronic supplementary material.
Literatur
1.
Zurück zum Zitat Mokbel A, Movahedi M, Philippopoulos E, Ojani P, Keystone EC. The proportion of patients with rheumatoid arthritis achieving ACR20/50/70; consistent patterns of a 60/40/20 as demonstrated by a systematic review and meta-analysis. J Clin Rheumatol. 2023;29:183–9.CrossRefPubMed Mokbel A, Movahedi M, Philippopoulos E, Ojani P, Keystone EC. The proportion of patients with rheumatoid arthritis achieving ACR20/50/70; consistent patterns of a 60/40/20 as demonstrated by a systematic review and meta-analysis. J Clin Rheumatol. 2023;29:183–9.CrossRefPubMed
2.
Zurück zum Zitat Taylor PC, Van de Laar M, Laster A, et al. Call for action: incorporating wellness practices into a holistic management plan for rheumatoid arthritis-going beyond treat to target. RMD Open. 2021;7:e001959.CrossRefPubMedPubMedCentral Taylor PC, Van de Laar M, Laster A, et al. Call for action: incorporating wellness practices into a holistic management plan for rheumatoid arthritis-going beyond treat to target. RMD Open. 2021;7:e001959.CrossRefPubMedPubMedCentral
4.
Zurück zum Zitat Zangi HA, Ndosi M, Adams J, et al. EULAR recommendations for patient education for people with inflammatory arthritis. Ann Rheum Dis. 2015;74:954–62.CrossRefPubMed Zangi HA, Ndosi M, Adams J, et al. EULAR recommendations for patient education for people with inflammatory arthritis. Ann Rheum Dis. 2015;74:954–62.CrossRefPubMed
5.
Zurück zum Zitat Parodis I, Girard-Guyonvarc’h C, Arnaud L, et al. EULAR recommendations for the non-pharmacological management of systemic lupus erythematosus and systemic sclerosis. Ann Rheum Dis. 2024;83:720–9. Parodis I, Girard-Guyonvarc’h C, Arnaud L, et al. EULAR recommendations for the non-pharmacological management of systemic lupus erythematosus and systemic sclerosis. Ann Rheum Dis. 2024;83:720–9.
6.
Zurück zum Zitat England BR, Smith BJ, Baker NA, et al. 2022 American College of Rheumatology guideline for exercise, rehabilitation, diet, and additional integrative interventions for rheumatoid arthritis. Arthritis Care Res (Hoboken). 2023;75:1603–15.CrossRefPubMed England BR, Smith BJ, Baker NA, et al. 2022 American College of Rheumatology guideline for exercise, rehabilitation, diet, and additional integrative interventions for rheumatoid arthritis. Arthritis Care Res (Hoboken). 2023;75:1603–15.CrossRefPubMed
7.
Zurück zum Zitat Freid LM, Ogdie A, Baker JF. Physical activity patterns in people with inflammatory arthritis indicate they have not received recommendation-based guidance from health care providers. ACR Open Rheumatol. 2020;2:582–7.CrossRefPubMedPubMedCentral Freid LM, Ogdie A, Baker JF. Physical activity patterns in people with inflammatory arthritis indicate they have not received recommendation-based guidance from health care providers. ACR Open Rheumatol. 2020;2:582–7.CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Deslauriers S, Roy J-S, Bernatsky S, et al. The burden of waiting to access pain clinic services: perceptions and experiences of patients with rheumatic conditions. BMC Health Serv Res. 2021;21:160.CrossRefPubMedPubMedCentral Deslauriers S, Roy J-S, Bernatsky S, et al. The burden of waiting to access pain clinic services: perceptions and experiences of patients with rheumatic conditions. BMC Health Serv Res. 2021;21:160.CrossRefPubMedPubMedCentral
10.
Zurück zum Zitat Knitza J, Gupta L, Hügle T. Rheumatology in the digital health era: status quo and quo vadis? Nat Rev Rheumatol. 2024;20(12):747-59. Knitza J, Gupta L, Hügle T. Rheumatology in the digital health era: status quo and quo vadis? Nat Rev Rheumatol. 2024;20(12):747-59.
13.
Zurück zum Zitat Labinsky H, Gupta L, Raimondo MG, Schett G, Knitza J. Real-world usage of digital health applications (DiGA) in rheumatology: results from a German patient survey. Rheumatol Int. 2023;43:713–9.CrossRefPubMed Labinsky H, Gupta L, Raimondo MG, Schett G, Knitza J. Real-world usage of digital health applications (DiGA) in rheumatology: results from a German patient survey. Rheumatol Int. 2023;43:713–9.CrossRefPubMed
14.
Zurück zum Zitat Kernder A, Morf H, Klemm P, et al. Digital rheumatology in the era of COVID-19: results of a national patient and physician survey. RMD Open. 2021;7: e001548.CrossRefPubMed Kernder A, Morf H, Klemm P, et al. Digital rheumatology in the era of COVID-19: results of a national patient and physician survey. RMD Open. 2021;7: e001548.CrossRefPubMed
15.
Zurück zum Zitat Richter JG, Chehab G, Stachwitz P, et al. One year of digital health applications (DiGA) in Germany—rheumatologists’ perspectives. Front Med (Lausanne). 2022;9:1000668.CrossRefPubMedPubMedCentral Richter JG, Chehab G, Stachwitz P, et al. One year of digital health applications (DiGA) in Germany—rheumatologists’ perspectives. Front Med (Lausanne). 2022;9:1000668.CrossRefPubMedPubMedCentral
16.
Zurück zum Zitat Cirkel L, Lechner F, Schlicker N, et al. Adoption and perception of prescribable digital health applications (DiGA) and the advancing digitalization among German internal medicine physicians: a cross-sectional survey study. BMC Health Serv Res. 2024;24:1353.CrossRefPubMedPubMedCentral Cirkel L, Lechner F, Schlicker N, et al. Adoption and perception of prescribable digital health applications (DiGA) and the advancing digitalization among German internal medicine physicians: a cross-sectional survey study. BMC Health Serv Res. 2024;24:1353.CrossRefPubMedPubMedCentral
17.
Zurück zum Zitat Schreiter S, Mascarell-Maricic L, Rakitzis O, Volkmann C, Kaminski J, Daniels MA. Digital health applications in the area of mental health. Dtsch Arztebl Int. 2023;120:797–803.PubMedPubMedCentral Schreiter S, Mascarell-Maricic L, Rakitzis O, Volkmann C, Kaminski J, Daniels MA. Digital health applications in the area of mental health. Dtsch Arztebl Int. 2023;120:797–803.PubMedPubMedCentral
18.
Zurück zum Zitat Hibbard JH, Stockard J, Mahoney ER, Tusler M. Development of the patient activation measure (PAM): conceptualizing and measuring activation in patients and consumers. Health Serv Res. 2004;39:1005–26.CrossRefPubMedPubMedCentral Hibbard JH, Stockard J, Mahoney ER, Tusler M. Development of the patient activation measure (PAM): conceptualizing and measuring activation in patients and consumers. Health Serv Res. 2004;39:1005–26.CrossRefPubMedPubMedCentral
19.
Zurück zum Zitat Insignia Health. Patient activation measures (PAM)—basics: understanding health activation. Administering the PAM Survey. Eugene: University of Oregon; 2017. Insignia Health. Patient activation measures (PAM)—basics: understanding health activation. Administering the PAM Survey. Eugene: University of Oregon; 2017.
20.
Zurück zum Zitat Li LC, Xie H, Feehan LM, et al. Effect of digital monitoring and counselling on self-management ability in patients with rheumatoid arthritis: a randomised controlled trial. Rheumatology (Oxford). 2023;64(1):310-20. Li LC, Xie H, Feehan LM, et al. Effect of digital monitoring and counselling on self-management ability in patients with rheumatoid arthritis: a randomised controlled trial. Rheumatology (Oxford). 2023;64(1):310-20.
21.
Zurück zum Zitat Jordan S, Hoebel J. Gesundheitskompetenz von Erwachsenen in Deutschland. Bundesgesundheitsbl. 2015;58:942–50.CrossRef Jordan S, Hoebel J. Gesundheitskompetenz von Erwachsenen in Deutschland. Bundesgesundheitsbl. 2015;58:942–50.CrossRef
22.
Zurück zum Zitat Röthlin F, Pelikan J, Ganahl K. Die Gesundheitskompetenz der 15-jährigen Jugendlichen in Österreich. Abschlussbericht der österreichischen Gesundheitskompetenz Jugendstudie im Auftrag des Hauptverbands der österreichischen Sozialversicherungsträger (HVSV). Vienna: Ludwig Boltzmann Institut Health Promotion Research (LBIHPR); 2013. Röthlin F, Pelikan J, Ganahl K. Die Gesundheitskompetenz der 15-jährigen Jugendlichen in Österreich. Abschlussbericht der österreichischen Gesundheitskompetenz Jugendstudie im Auftrag des Hauptverbands der österreichischen Sozialversicherungsträger (HVSV). Vienna: Ludwig Boltzmann Institut Health Promotion Research (LBIHPR); 2013.
23.
Zurück zum Zitat Zimmermann J, Morf H, Scharf F, et al. German Version of the Telehealth Usability Questionnaire and Derived Short Questionnaires for usability and perceived usefulness in health care assessment in telehealth and digital therapeutics: instrument validation study. JMIR Hum Fact. 2024;11: e57771.CrossRef Zimmermann J, Morf H, Scharf F, et al. German Version of the Telehealth Usability Questionnaire and Derived Short Questionnaires for usability and perceived usefulness in health care assessment in telehealth and digital therapeutics: instrument validation study. JMIR Hum Fact. 2024;11: e57771.CrossRef
24.
Zurück zum Zitat Parmanto B, Allen Nelson Lewis J, Graham KM, Bertolet MH. Development of the Telehealth Usability Questionnaire (TUQ). Int J Telerehabil. 2016;8:3. Parmanto B, Allen Nelson Lewis J, Graham KM, Bertolet MH. Development of the Telehealth Usability Questionnaire (TUQ). Int J Telerehabil. 2016;8:3.
25.
Zurück zum Zitat Mäder M, Timpel P, Schönfelder T, et al. Evidence requirements of permanently listed digital health applications (DiGA) and their implementation in the German DiGA directory: an analysis. BMC Health Serv Res. 2023;23:369.CrossRefPubMedPubMedCentral Mäder M, Timpel P, Schönfelder T, et al. Evidence requirements of permanently listed digital health applications (DiGA) and their implementation in the German DiGA directory: an analysis. BMC Health Serv Res. 2023;23:369.CrossRefPubMedPubMedCentral
26.
Zurück zum Zitat Benning L, Teepe GW, Pooth J-S, Hans FP. Performance-based reimbursement for digital therapeutics in Germany: a misconceptualized opportunity. Digit Health. 2024;10:20552076241281200.CrossRefPubMedPubMedCentral Benning L, Teepe GW, Pooth J-S, Hans FP. Performance-based reimbursement for digital therapeutics in Germany: a misconceptualized opportunity. Digit Health. 2024;10:20552076241281200.CrossRefPubMedPubMedCentral
27.
Zurück zum Zitat Knitza J, Muehlensiepen F, Kuhn S. Digital health applications: toward a lifecycle and pay-for-performance approach. Mayo Clin Proc Dig Health. 2023;1:393–4.CrossRef Knitza J, Muehlensiepen F, Kuhn S. Digital health applications: toward a lifecycle and pay-for-performance approach. Mayo Clin Proc Dig Health. 2023;1:393–4.CrossRef
29.
Zurück zum Zitat Boy K, May S, Labinsky H, et al. Back on track—digital health applications to treat back pain of rheumatic patients? Results of a qualitative interview study. Rheumatol Int. 2024;44(12):2977-987. Boy K, May S, Labinsky H, et al. Back on track—digital health applications to treat back pain of rheumatic patients? Results of a qualitative interview study. Rheumatol Int. 2024;44(12):2977-987.
30.
Zurück zum Zitat Priebe JA, Kerkemeyer L, Haas KK, et al. 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. J Pain Res. 2024;17:2239–55.CrossRefPubMedPubMedCentral Priebe JA, Kerkemeyer L, Haas KK, et al. 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. J Pain Res. 2024;17:2239–55.CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Proctor E, Silmere H, Raghavan R, et al. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Admin Policy Ment Health. 2010;38:65.CrossRef Proctor E, Silmere H, Raghavan R, et al. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Admin Policy Ment Health. 2010;38:65.CrossRef
32.
Zurück zum Zitat Scheibe M, Knapp A, Harst L, Schmitt J. Outcome domains and measurement instruments of patient-relevant improvement of structure and processes as a new set of outcomes for evaluating and approving digital health applications: systematic review. Discov Health Syst. 2023;2:33.CrossRef Scheibe M, Knapp A, Harst L, Schmitt J. Outcome domains and measurement instruments of patient-relevant improvement of structure and processes as a new set of outcomes for evaluating and approving digital health applications: systematic review. Discov Health Syst. 2023;2:33.CrossRef
33.
Zurück zum Zitat Braun J, Albrecht K, Callhoff J, et al. [Rheumatological care in Germany: Memorandum of the German Society for Rheumatology and Clinical Immunology 2024]. Z Rheumatol. 2024;83:249–84 (in German). Braun J, Albrecht K, Callhoff J, et al. [Rheumatological care in Germany: Memorandum of the German Society for Rheumatology and Clinical Immunology 2024]. Z Rheumatol. 2024;83:249–84 (in German).
34.
Zurück zum Zitat Strunz P-P, Le Maire M, Heusinger T, et al. The exercise-app Axia for axial spondyloarthritis enhances the home-based exercise frequency in axial spondyloarthritis patients—a cross-sectional survey. Rheumatol Int. 2024;44(6):1143-54 Strunz P-P, Le Maire M, Heusinger T, et al. The exercise-app Axia for axial spondyloarthritis enhances the home-based exercise frequency in axial spondyloarthritis patients—a cross-sectional survey. Rheumatol Int. 2024;44(6):1143-54
35.
Zurück zum Zitat Betz LT, Jacob GA, Knitza J, Koehm M, Behrens F. Efficacy of a cognitive-behavioral digital therapeutic on psychosocial outcomes in rheumatoid arthritis: randomized controlled trial. NPJ Ment Health Res. 2024;3:41.CrossRefPubMedPubMedCentral Betz LT, Jacob GA, Knitza J, Koehm M, Behrens F. Efficacy of a cognitive-behavioral digital therapeutic on psychosocial outcomes in rheumatoid arthritis: randomized controlled trial. NPJ Ment Health Res. 2024;3:41.CrossRefPubMedPubMedCentral
Metadaten
Titel
Real-World-Evidence of Digital Health Applications (DiGAs) in Rheumatology: Insights from the DiGAReal Registry
verfasst von
Alexander Albrecht
Jule Taubmann
Ioanna Minopoulou
Lukas Hatscher
Stefan Kleinert
Felix Mühlensiepen
Martin Welcker
Jan Leipe
Nils Schulz
Philipp Klemm
Axel Hueber
Georg Schett
Sebastian Kuhn
Hannah Labinsky
Johannes Knitza
Publikationsdatum
21.01.2025
Verlag
Springer Healthcare
Erschienen in
Rheumatology and Therapy / Ausgabe 2/2025
Print ISSN: 2198-6576
Elektronische ISSN: 2198-6584
DOI
https://doi.org/10.1007/s40744-025-00744-y

Kompaktes Leitlinien-Wissen Innere Medizin (Link öffnet in neuem Fenster)

Mit medbee Pocketcards schnell und sicher entscheiden.
Leitlinien-Wissen kostenlos und immer griffbereit auf ihrem Desktop, Handy oder Tablet.

Neu im Fachgebiet Innere Medizin

Nach Krebs im Kindesalter: Überlebende altern deutlich schneller

Wer als Kind eine Krebserkrankung durchgemacht hat, den ereilen chronische „Alterserkrankungen“ möglicherweise nicht nur häufiger, sondern auch deutlich früher. Eine erheblich Rolle spielt, an welchem Tumor man in der Kindheit erkrankt war und ob eine Bestrahlung erfolgte.

Weniger Fleisch, weniger Depressionen?

Wer kein Fleisch isst, kann das Depressionsrisiko möglicherweise um ein Viertel senken. Darauf deutet eine Metaanalyse von 17 Beobachtungsstudien.

RA-Basistherapie: Neues zu altbekannten Medikamenten

Zu glauben, zur Basistherapie der rheumatoiden Arthritis (RA) mit Methotrexat und Glukokortikoiden sei bereits alles gesagt, hat sich beim diesjährigen Rheuma-Update-Seminar wieder einmal als falsch erwiesen. Sogar eine in der Praxis „viel geübte Strategie“ wurde hinterfragt.

Erhöhte Hypoglykämie-Gefahr nach Beginn einer Betablockertherapie

Beginnen Diabetiker eine Behandlung mit Betablockern, verdoppelt sich in den ersten Wochen fast das Hypoglykämie-Risiko, normalisiert sich mit der Zeit aber wieder. Besondere Vorsicht ist unter einer Therapie mit nichtselektiven Wirkstoffen geboten.

EKG Essentials: EKG befunden mit System (Link öffnet in neuem Fenster)

In diesem CME-Kurs können Sie Ihr Wissen zur EKG-Befundung anhand von zwölf Video-Tutorials auffrischen und 10 CME-Punkte sammeln.
Praxisnah, relevant und mit vielen Tipps & Tricks vom Profi.

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.