Prescription of Opioid Analgesics for Chronic Non-Cancer Pain in Germany despite Contraindications: Administrative Claims Data Analysis.
Anja NiemannNils Frederik SchraderChristian SpeckemeierCarina AbelsNikola BlaseMilena WeitzelAnja NeumannCordula RiedererJoachim NadstawekWolfgang StraßmeirJürgen WasemSilke NeusserPublished in: International journal of environmental research and public health (2024)
In Germany, long-term opioid treatment (L-TOT) for chronic non-tumor pain (CNTP) is discussed as not being performed according to the German guideline on L-TOT for CNTP. In the present analysis, the occurrence and predictors of inappropriate care/overuse in a cohort of German insureds with L-TOT for CNTP by the presence of a contraindication with concurrent opioid analgesic (OA) therapy were investigated. We also analyzed whether prescribing physicians themselves diagnosed a contraindication. The retrospective cohort study was based on administrative claims data from a German statutory health insurance. Eight contraindication groups were defined based on the German guideline. Logistic regressions were performed in order to identify predictors for OA prescriptions despite contraindications. The possible knowledge of the prescribing physician about the contraindication was approximated by analyzing concordant unique physician identification numbers of OA prescriptions and contraindication diagnoses. A total of 113,476 individuals (75% female) with a mean age of 72 years were included. The most common documented contraindications were primary headaches (8.7%), severe mood disorders (7.7%) and pain in somatoform disorders (4.5%). The logistic regressions identified a younger age, longer history of OA therapy, opioid related psychological problems, and outpatient psychosomatic primary care as positive predictors for all contraindication groups.
Keyphrases
- primary care
- health insurance
- chronic pain
- pain management
- data analysis
- affordable care act
- knee osteoarthritis
- healthcare
- neuropathic pain
- mental health
- emergency department
- general practice
- squamous cell carcinoma
- papillary thyroid
- high resolution
- bipolar disorder
- young adults
- stem cells
- deep learning
- anti inflammatory
- squamous cell
- bone marrow
- high speed
- bioinformatics analysis