Observational studyBMC primary care2022
Attachment and patient activation as predictors of the interest and use of telemedical health applications -results of an observational study in primary health care.
Observational study in BMC primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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.
Who cites it
4 citing papers in PubMed.
- Determinants of the Uptake and Frequency of Use of a Web Portal Digital Health Intervention in Patients With Type 2 Diabetes and/or Coronary Heart Disease: Secondary Analysis of a Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- Observational
- Awareness, want, and adoption of digital health services among older adults in China: a cross-sectional study.Frontiers in public health · 2026Article
- Experience of Older Patients with COPD Using Disease Management Apps: A Qualitative Study.Healthcare (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTelemedicine applications are becoming more accepted and offer great potential to support physicians and patients. However, there is an increasing need for research, especially in personal predictors that determine the interest and use of telemedicine and e-health applications. This study aims to identify if attachment and patient activation are potential predictors of the interest in and the use of e-health applications in primary care patients.
methodsWe used data from the cross-sectional observational Weimar TelMed study on 192 patients treated by general practitioners from a practice of family medicine in Thuringia, the middle of Germany. The adult attachment was measured using the ECR-RD12 and patient activation with the PAM-13D. Multiple regression analysis by the General Linear Model was used to evaluate the association between attachment, patient activation, and interest in and use of e-health applications.
resultsPatient activation was associated with a higher interest in e-health care. The attachment dimension avoidance was a potential predictor of interest in e-health and e-health-care use.
conclusionAdult attachment is an essential predictor of different ways of healthcare use. While avoidant patients evade contact with general practitioners, self-determined access via e-health seems to improve the health care of these patients. A personalized view might be a basis for the evaluation of individual approaches in Primary Care.
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Registered trials
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