@article{KranzKettlerAnandetal.2023, author = {Kranz, Ragna-Marie and Kettler, Carmen and Anand, Corinna and Koeder, Christian and Husain, Sarah and Schoch, Nora and Buyken, Anette and Englert, Heike}, title = {Effect of a controlled lifestyle intervention on medication use and costs: The Healthy Lifestyle Community Program (cohort 2)}, series = {Nutrition and Health}, journal = {Nutrition and Health}, publisher = {Sage Publications}, issn = {2047-945X}, doi = {10.25974/fhms-16217}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-162176}, year = {2023}, abstract = {Background: Establishing a healthy lifestyle has a great potential to reduce the prevalence of non-communicable diseases (NCDs) and their risk factors. NCDs contribute immensely to the economic costs of the health care system arising from therapy, medication use, and productivity loss. Aim: The aim of this study was to evaluate the effect of the Healthy Lifestyle Community Program (cohort 2; HLCP-2) on medication use and consequently on medication costs for selected NCDs (diabetes, hypertension, and dyslipidemia). Methods: Data stem from a 24-month non-randomised, controlled intervention trial aiming to improve risk factors for NCDs. Participants completed questionnaires at six measurement time points assessing medication use, from which costs were calculated. The following medication groups were included in the analysis as NCD medication: glucose-lowering medications (GLM), antihypertensive drugs (AHD) and lipid-lowering drugs (LLD). Statistical tests for inter- and intra-group comparison and multiple regression analysis were performed. Results: In total, 118 participants (intervention group [IG]: n = 79; control group [CG]: n = 39) were considered. Compared to baseline medication use decreased slightly in the IG and increased in the CG. Costs for NCD medication were significantly lower in the IG than in the CG after 6 (p = 0.004), 12 (p = 0.040), 18 (p = 0.003) and 24 months (p = 0.008). After multiple regression analysis and adjusting for confounders, change of costs differed significantly between the groups in all final models. Conclusion: The HLCP-2 was able to moderately prevent an increase of medication use and thus reduce costs for medication to treat NCDs with the greatest impact on AHD.}, language = {de} } @techreport{EnglertMuellerNordhornSeewaldetal.2010, type = {Working Paper}, author = {Englert, Heike and M{\"u}ller-Nordhorn, Jacqueline and Seewald, Sebastian and Sonntag, Frank and V{\"o}ller, Hans and Meyer-Sabellek, Wolfgang and Wegscheider, Karl and Windler, Eberhard and Katus, Hugo and Willich, Stefan N.}, title = {Is patient self-report an adequate tool for monitoring cardiovascular conditions in patients with hypercholesterolemia?}, publisher = {Oxford University Press}, doi = {10.25974/fhms-576}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-5761}, year = {2010}, abstract = {ABSTRACT Background: To determine the accuracy of patient self-reports of specific cardiovascular diagnoses and to identify individual patient characteristics that influence the accuracy. Methods: This investigation was conducted as a part of the randomized controlled ORBITAL study. Patients with hypercholesterolemia were enrolled in 1961 primary-care centers all over Germany. Self-reported questionnaire data of 7640 patients were compared with patients' case report forms (CRFs) and medical records on cardiovascular diseases, using k statistics and binomial logit models. Results: k values ranged from 0.89 for diabetes to 0.04 for angina. The percentage of overreporting varied from 1 percent for diabetes to 17 percent for angina, whereas the percentage of underreporting varied from 8.0 percent for myocardial infarction to 57 percent for heart failure. Individual characteristics such as choice of individual general practitioner, male gender and age were associated with the accuracy of self-report data. Conclusion: Since the agreement between patient self-report and CRFs/medical records varies with specific cardiovascular diagnoses in patients with hypercholesterolemia, the adequacy of this tool seems to be limited. However, the authors recommend additional data validation for certain patient groups and consideration of individual patient characteristics associated with over- and underreporting. Keywords agreement, cardiovascular disease, case report forms, general practitioner information, medical records, orbital study, overreporting, patient self-report, underreporting}, language = {de} }