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 [
2‐
6].
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 [
14‐
16], 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.
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.