A Prescription Audit of Inpatient Department of Super Speciality Hospital in National Capital Region of India

Study Overview
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Brief Summary
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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).

Detailed Description
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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: Inclusion Criteria Participants who are willing to participate Participants who are admitted in the in-patient department Participants admitted during the study period Participants who have a prescription which is legible and complete Exclusion Criteria Participants who are unwilling to provide the required information Participants who are not admitted the in-patient department Participants whose prescription is not legible and competent Source of the data: Review of In-patient prescription Sample Size: 300 prescriptions

Official Title
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A Prescription Audit of Inpatient Department of National Accreditation Board for Hospitals and Healthcare Providers Approved Super Speciality Hospital in National Capital Region of India

Conditions
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Review of In-patient Prescription

Intervention / Treatment
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* Other: Prescription data collection


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Participants who are willing to participate Participants who are admitted in the in-patient department Participants admitted during the study period Participants who have a prescription which is legible and complete Exclusion Criteria: Participants who are unwilling to provide the required information Participants who are not admitted the in-patient department Participants whose prescription is not legible and competent

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 100 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Compliance<br>Prescription properly filled for specific parameters | Other: Prescription data collection<br>* Prescription data collection<br>|
| Non Compliance<br>Prescription is not filled with specific parameters | Other: Prescription data collection<br>* Prescription data collection<br>|
| Not available - NA<br>Prescription does not contain specific data | Other: Prescription data collection<br>* Prescription data collection<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Percentage prescription | Prescription filled for specific parameter | March 2023 and May 2023 |