ABSTRACT
Patient satisfaction with medical care delivery is an important aspect of value-based health care. Providers strive to provide optimal patient satisfaction. Among a network of ambulatory pediatric oncology affiliate clinics, we conducted patient satisfaction surveys and found that the lowest scores were related to delays in the administration of chemotherapy. To address this shortcoming, we used continuous improvement methodologies to reduce the delay in chemotherapy administration in 3 affiliate clinics. To evaluate the efficacy of the quality improvement interventions implemented at each affiliate clinic, we measured the time from patient arrival to the start of chemotherapy administration over a 2-week period before and after the interventions. Wait times for chemotherapy administration were reduced in each clinic by 7% to 15%, exceeding the preestablished goal of a 5% reduction without affecting patient safety. Patient satisfaction for chemotherapy wait times was also marginally increased. In conclusion, implementation of quality improvement interventions across a clinical network can improve specific aspects of patient satisfaction, thereby improving the overall patient experience.
Subject(s)
Ambulatory Care/standards , Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Neoplasms/drug therapy , Patient Satisfaction/statistics & numerical data , Quality Improvement , Waiting Lists , Ambulatory Care/psychology , Ambulatory Care/statistics & numerical data , Child , Humans , Surveys and QuestionnairesABSTRACT
DrugBank is a unique bioinformatics/cheminformatics resource that combines detailed drug (i.e. chemical) data with comprehensive drug target (i.e. protein) information. The database contains >4100 drug entries including >800 FDA approved small molecule and biotech drugs as well as >3200 experimental drugs. Additionally, >14,000 protein or drug target sequences are linked to these drug entries. Each DrugCard entry contains >80 data fields with half of the information being devoted to drug/chemical data and the other half devoted to drug target or protein data. Many data fields are hyperlinked to other databases (KEGG, PubChem, ChEBI, PDB, Swiss-Prot and GenBank) and a variety of structure viewing applets. The database is fully searchable supporting extensive text, sequence, chemical structure and relational query searches. Potential applications of DrugBank include in silico drug target discovery, drug design, drug docking or screening, drug metabolism prediction, drug interaction prediction and general pharmaceutical education. DrugBank is available at http://redpoll.pharmacy.ualberta.ca/drugbank/.
