Evaluation of Hand Written and Computerized Out-Patient Prescriptions in Urban Part of Central Gujarat
Introduction: Prescription order is an important therapeutic transaction between physician and patient. A good quality prescription is an extremely important factor for minimizing errors in dispensing medication and it should be adherent to guidelines for prescription writing for benefit of the...
| 出版年: | Journal of Clinical and Diagnostic Research |
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| 主要な著者: | , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
JCDR Research and Publications Private Limited
2016-06-01
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| 主題: | |
| オンライン･アクセス: | https://jcdr.net/articles/PDF/7911/17896_CE(RA1)_F(T)_PF1(ROAK)_PFA(AK)_PF2(PAG).pdf |
| 要約: | Introduction: Prescription order is an important therapeutic
transaction between physician and patient. A good quality
prescription is an extremely important factor for minimizing
errors in dispensing medication and it should be adherent to
guidelines for prescription writing for benefit of the patient.
Aim: To evaluate frequency and type of prescription errors in
outpatient prescriptions and find whether prescription writing
abides with WHO standards of prescription writing.
Materials and Methods: A cross-sectional observational study
was conducted at Anand city. Allopathic private practitioners
practising at Anand city of different specialities were included
in study. Collection of prescriptions was started a month
after the consent to minimize bias in prescription writing. The
prescriptions were collected from local pharmacy stores of
Anand city over a period of six months. Prescriptions were
analysed for errors in standard information, according to WHO
guide to good prescribing.
Statistical Analysis: Descriptive analysis was performed to
estimate frequency of errors, data were expressed as numbers
and percentage.
Results: Total 749 (549 handwritten and 200 computerised)
prescriptions were collected. Abundant omission errors were
identified in handwritten prescriptions e.g., OPD number was
mentioned in 6.19%, patient’s age was mentioned in 25.50%,
gender in 17.30%, address in 9.29% and weight of patient
mentioned in 11.29%, while in drug items only 2.97% drugs
were prescribed by generic name. Route and Dosage form was
mentioned in 77.35%-78.15%, dose mentioned in 47.25%,
unit in 13.91%, regimens were mentioned in 72.93% while
signa (direction for drug use) in 62.35%. Total 4384 errors
out of 549 handwritten prescriptions and 501 errors out of
200 computerized prescriptions were found in clinicians and
patient details. While in drug item details, total number of errors
identified were 5015 and 621 in handwritten and computerized
prescriptions respectively.
Conclusion: As compared to handwritten prescriptions, computerized prescriptions appeared to be associated with relatively
lower rates of error. Since out-patient prescription errors are
abundant and often occur in handwritten prescriptions, prescribers need to adapt themselves to computerized prescription
order entry in their daily practice. |
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| ISSN: | 2249-782X 0973-709X |