Lung cancer patients' comorbidities and attendance of German ambulatory physicians in a 5-year cross-sectional study.
Jasmin BossertMarion LudwigPamela WronskiJan KoetsenruijterKatja KrugMatthias VillalobosJosephine JacobJochen WalkerMichael ThomasMichel WensingPublished in: NPJ primary care respiratory medicine (2021)
The majority of lung cancer patients are diagnosed with an advanced stage IV, which has short survival time. Many lung cancer patients have comorbidities, which influence treatment and patients' quality of life. The aim of the study is to describe comorbidities in incident lung cancer patients and explore their attendance of ambulatory care physicians in Germany. In the observed period, 13,111 persons were first diagnosed with lung cancer (1-year incidence of 36.4 per 100,000). The mean number of comorbidities over 4 quarters was 30.77 ± 13.18; mean Charlson Comorbidity Index was 6.66 ± 2.24. In Germany, ambulatory care physicians most attended were general practitioners (2.6 quarters with contact within 4 quarters). Lung cancer was diagnosed by a general practitioner in 38% of the 13,111 incident patients. The average number of ambulatory care physician contacts over 4 quarters was 35.82 ± 27.31. High numbers of comorbidities and contacts in ambulatory care are common in patients with lung cancer. Therefore, a cross-sectoral and interdisciplinary approach is required for effective, patient-centred care. This was a 5-year cross-sectoral study, based on the InGef research database, which covers anonymized health insurance data of 7.2 million individuals in Germany. Incident lung cancer patients in a 5-year period (2013-2017) were identified. Descriptive statistics were calculated for sociodemographic characteristics, comorbidities, and attendance of ambulatory care physicians.
Keyphrases
- end stage renal disease
- healthcare
- blood pressure
- primary care
- palliative care
- health insurance
- affordable care act
- chronic kidney disease
- ejection fraction
- quality improvement
- newly diagnosed
- peritoneal dialysis
- cardiovascular disease
- emergency department
- pain management
- type diabetes
- chronic pain
- deep learning
- electronic health record
- case report
- combination therapy
- drug induced