Evidence map›Paper›PMID 36848211›Full record

Observational studyJournal of medical Internet research2023

Postmarketing Follow-Up of a Digital Home Exercise Program for Back, Hip, and Knee Pain: Retrospective Observational Study With a Time-Series and Matched-Pair Analysis.

Gisbert Wilhelm Teepe, Tobias Kowatsch, Felix Patricius Hans, Leo Benning

Full text readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. [What is health services research?]Schmerz (Berlin, Germany) · 2025
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Gisbert Wilhelm TeepeCentre for Digital Health Intervention, ETH Zürich, Zürich, Switzerland.ORCID 0000-0002-2264-9797
Tobias KowatschCentre for Digital Health Intervention, ETH Zürich, Zürich, Switzerland.ORCID 0000-0001-5939-4145
Felix Patricius Hans *University Emergency Center, Medical Center - University of Freiburg, Freiburg, Germany.ORCID 0000-0002-7164-7624
Leo Benning *University Emergency Center, Medical Center - University of Freiburg, Freiburg, Germany.ORCID 0000-0002-8429-9702

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMusculoskeletal conditions are the main drivers of global disease burden and cause significant direct and indirect health care costs. Digital health applications improve the availability of and access to adequate care. The German health care system established a pathway for the approval of "Digitale Gesundheitsanwendungen" (DiGAs; Digital Health Applications) as collectively funded medical services through the "Digitale-Versorgung-Gesetz" (Digital Health Care Act) in 2019.

objectiveThis article presents real-world prescription data collected through the smartphone-based home exercise program "Vivira," a fully approved DiGA, regarding its effect on self-reported pain intensity and physical inability in patients with unspecific and degenerative pain in the back, hip, and knee.

methodsThis study included 3629 patients (71.8% [2607/3629] female; mean age 47 years, SD 14.2 years). The primary outcome was the self-reported pain score, which was assessed with a verbal numerical rating scale. The secondary outcomes were self-reported function scores. To analyze the primary outcome, we used a 2-sided Skillings-Mack test. For function scores, a time analysis was not feasible; therefore, we calculated matched pairs using the Wilcoxon signed-rank test.

resultsOur results showed significant reductions in self-reported pain intensity after 2, 4, 8, and 12 weeks in the Skillings-Mack test (T

conclusionsThis study presents postmarketing observational data from one of the first DiGAs for unspecific and degenerative musculoskeletal pain. We noted significant improvements in self-reported pain intensity throughout the observation period of 12 weeks, which reached clinical relevance. Additionally, we identified a complex response pattern of the function scores assessed. Lastly, we highlighted the challenges of relevant attrition at follow-up and the potential opportunities for evaluating digital health applications. Although our findings do not have confirmatory power, they illustrate the potential benefits of digital health applications to improve the availability of and access to medical care.

trial registrationGerman Clinical Trials Register DRKS00024051; https://drks.de/search/en/trial/DRKS00024051.

Indexed as

Musculoskeletal PainExercise TherapyFemaleFollow-Up StudiesHumansMatched-Pair AnalysisMiddle AgedTime Factorsdigital healthdigital therapeuticsexercise trainingmusculoskeletal diseases

Identifiers

PMID36848211
PMCPMC10012010

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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measurements read18
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.