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Prescription auditing is the art to check the detailing, compatibility and performance of the generated prescription from the physician to the pharmacist and patient, by means of the WHO checklist for prescription auditing. An audit is defined as the review and evaluation of the healthcare procedures and documentation to compare the quality of care provided, with accepted standards.
In this study, we will collect In-patient prescriptions from Fortis Hospital. And it will be evaluated for 13 list out parameters i.e Hospital unique ID, patient name, age, sex, weight, date of consultation, cleanliness and legibility, brief history, allergies, clinical examination, presumptive or definite diagnosis, medicine prescribed by generic name, dose, duration, history of a previous adverse event, appropriate abbreviations used, drug-drug interaction, drug duplication, doctor name, registration number and signature. The study is analyzed by Statistical Process Control (SPC).
Full description
Aim of the study:
The aim of the study is to evaluate the quality of the prescription provided to the inpatient.
Objectives of the study:
To study the quality of good prescription In minimization of prescription errors and medication errors Also to comply with good clinical practice Enhancement of patient safety In the maintenance of rational prescribing To study the quality of care provided by the hospital to the patient
Plan of study:
To select the patient based on inclusion and exclusion criteria To collect the information from IP prescription and drug chart To identify prescribing errors and medication error To study the management of good prescription
Methodology:
Study Sites: Fortis Hospital, Noida, Uttar Pradesh (INDIA) Study Design: Observational cohort study Study Duration: 2 months (March, 2023 and May, 2023)
Study Sites: Fortis Hospital, Noida, Uttar Pradesh (INDIA) Study Design: Observational cohort study Study Duration: 2 months (March, 2023 and May, 2023)
Subject Eligibility:
Sample Size:
300 prescriptions
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300 participants in 3 patient groups
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Data sourced from clinicaltrials.gov
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