Assessment of the Prescribing Pharmacist's Role in Supporting Access to Prescription-Only Medicines-Metadata Analysis in Poland.
Artur OwczarekDominik M MarciniakRafał JeziorBożena Lucyna KarolewiczPublished in: Healthcare (Basel, Switzerland) (2023)
In 2020, pharmacists in Poland received additional authority to prescribe drugs. In this study, we analyzed prescribing after the implementation of this new responsibility. We assessed how the new regulation works in practice and what it means for the healthcare system in the area of access to prescription-only medicines. Data analysis included information on the prescriptions written, the type of substance according to the ATC classification, and data on the prescribing pharmacists. The study used over 2.994 million e-prescriptions written by pharmacists in Poland, which were made available by the e-Health Center. The largest group of drugs prescribed were drugs used in the treatment of cardiovascular diseases, accounting for 25% of all prescribed medications during the time of the analysis. The next prescription groups were for drugs used in gastrointestinal diseases and metabolic disorders, and those acting on the central nervous system, the respiratory system, and the musculoskeletal system. Among pharmaceutical prescriptions, 73% were pharmaceutical prescriptions issued in pharmacies at full price to the patient. The results indicate that pharmacists are eager to use their permission to prescribe drugs in authority situations. Almost three million records showed improved patient access to medicines in the healthcare system (approximately 5% of repeat prescriptions for all patients during the study period). These data confirm the possibility of cooperation between physicians and pharmacists in strengthening the efficiency of the patient healthcare system. An important conclusion from this work is the need to create the possibility for the pharmacist to access the information resources of the implemented Internet Patient Account system, including therapeutic indications for the drugs used.
Keyphrases
- primary care
- data analysis
- case report
- healthcare
- cardiovascular disease
- health information
- machine learning
- end stage renal disease
- newly diagnosed
- public health
- emergency department
- type diabetes
- chronic kidney disease
- metabolic syndrome
- prognostic factors
- big data
- combination therapy
- cerebrospinal fluid
- artificial intelligence
- adverse drug
- replacement therapy