ArticleJournal of clinical and diagnostic research : JCDR2016
Evaluation of Hand Written and Computerized Out-Patient Prescriptions in Urban Part of Central Gujarat.
Article in Journal of clinical and diagnostic research : JCDR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Medication errors in community pharmacies: a systematic review of the international literature.PloS one · 2025Pooled it
- Drug utilization pattern and cost analysis of antidiabetic drugs among type 2 diabetic patients at a teaching hospital in South India: A prospective observational study.Journal of family medicine and primary care · 2025Article
- Assessment of prescription pattern of under-five diarrhea cases in Western Odisha.Journal of family medicine and primary care · 2023Article
- Quality of prescription writing in Brazilian primary health care.Primary health care research & development · 2023Observational
- Article
- Validation of the QualiPresc instrument for assessing the quality of drug prescription writing in primary health care.PloS one · 2022Article
- Quality of medical prescriptions in diabetes and hypertension management in Kerala and its associated factors.BMC public health · 2020Article
- Effect of a voice recognition system on pediatric outpatient medication errors at a tertiary healthcare facility in Kenya.Therapeutic advances in drug safety · 2018Article
- Evaluation of out-patient prescriptions in rural part of central Gujarat.Journal of family medicine and primary careArticle
- Prescription audit of a teaching hospital in South India using World Health Organization core prescribing indicators - A cross-sectional study.Perspectives in clinical researchArticle
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
introductionPrescription 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.
aimTo evaluate frequency and type of prescription errors in outpatient prescriptions and find whether prescription writing abides with WHO standards of prescription writing. MATERIALS AND
methodsA 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.
resultsTotal 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.
conclusionAs 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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