Impact of Electronic Prescribing System on Prescribing Error Rate at Patients’ Transition of Care: An Interventional Study

Yugandhar, Bethi; Shewade, Deepak Gopal; Dharanipragada, Kadambari; Batmanabane, Gitanjali

doi:10.5530/jyp.2017.9.86

Cited by 5 publications

(5 citation statements)

References 26 publications

(29 reference statements)

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“…2 Yugandhar et al opined that electronic prescribing system reduced 75% of prescribing errors with error rate being 8.4% compared to 33% of handwritten prescriptions. 22 The dispensing errors due to inadequate deciphering of "doctor scribble" can be eliminated. Handwritten prescriptions had 5.5 higher odds of having prescribing errors (OR 5.5, 95% CI 4.6-6.1).…”

Section: Discussionmentioning

confidence: 99%

“…Handwritten prescriptions had 5.5 higher odds of having prescribing errors (OR 5.5, 95% CI 4.6-6.1). 22 Panchbhai et al stated that pre-printed prescriptions and electronic entry devices can reduce illegibility and hence medication errors. 23 The drug-drug interaction alerts, knowledge about past history of drug allergies and adverse drug reactions, suggestion of right dosage will make e-prescriptions prone for less prescribing errors.…”

Section: Discussionmentioning

confidence: 99%

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Perceptions of Prescribers towards Electronic Prescription: A Pre-Implementation Evaluation

Palappallil¹,

Pinheiro²

2018

JYP

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Objective: Electronic (e) prescribing is computerised prescribing. The Government of Kerala has started the e-health initiative. The objective of this study was to obtain the perceptions of prescribing doctors on e-prescription before its implementation. Method: This was a questionnaire based cross sectional study conducted for a period of six months in a Government tertiary care teaching hospital of Kerala. The prescribing doctors of the institution formed the sample population. The response to the structured questionnaire was measured on Likert scale. Data were analysed using SPSS 16. Domain scores of perceived usefulness, ease of use and fitness to the Institution were calculated by averaging the response. Chi square test was done to find the association of score of each domain with independent variables. Results: Two hundred and fifty seven prescribing doctors of age range 22-60 years participated of which 49% were females and 51% males. Response rate was 73% (257/350). Although 70.5% have heard of e-prescriptions only 14% participants had hands on exposure. The mean perceived usefulness, perceived ease of use and fitness were 3.5±0.47, 3.35± 0.49 and 2.95 ± 0.44. Conclusion: Dislike for paper prescriptions was the single most important factor associated with perceived usefulness, perceived ease of use and perceived fitness of e-prescription in the institution. Information technology training and infrastructure development should go hand in hand with implementation of e-prescribing. Key words: Electronic prescribing, Electronic prescription, Medication error, Health Information Technology. Key Messages: For successful implementation of electronic prescriptions, training and technologically developed settings is a must. Educating the prescribers on preventable medication errors associated with paper prescriptions can lead to the acceptance of e-prescribing. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Perceptions of Prescribers towards Electronic Prescription: A Pre-Implementation Evaluation

Palappallil¹,

Pinheiro²

2018

JYP

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“…4 Saudi studies show that the prescription error rate is much higher with handwritten (35.7%) than with electronic (2.5%) prescriptions. 5,6 These studies also report a wide variation of errors from handwritten prescriptions (range: 7%-94%). [7][8][9] Convenience sampling, a difference in sources (e.g.…”

Section: Introductionmentioning

confidence: 99%

Assessment of handwritten prescriptions from Saudi Arabia according to international guidelines

et al. 2020

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Objective: Prescription dispensing services are not digitalized in the majority of governmental hospitals and private clinics in Saudi Arabia, which makes them prone to error. We aimed to evaluate handwritten prescriptions in a region in Saudi Arabia for consistency and accuracy according to international guidelines. Methods: A sample of handwritten prescriptions (dated 2016 or 2017) from selected pharmacies in the Al-Qassim region (n = 556) were evaluated for missing information on items related to prescriber, patient, and medication according to the World Health Organization and Food and Drug Administration guidelines. Results: We found that the prescriber’s name and contact information were missing in two-thirds of the prescriptions (66%). Patients’ addresses were always missing (100%). No prescription contained medication warnings; a majority lacked information on mode of administration (68%) and methods to avoid refilling (66%). Conclusion: Saudi Arabia should take a multipronged approach, including digitalization of prescription dispensing services, in both public and private health care facilities in order to reduce prescription errors.

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“…For a prescription to be accurate, it must include the following essential components: prescriber name, address, and telephone number; date of the prescription; generic name of the drug; strength (dose), dosage form, and total amount of the drug; label (instruction and warning); patient name, address, and age; and signature or initials of the prescriber 2 . Compared with electronic prescriptions, handwritten prescriptions have been associated with a higher prescription error rate 1,3,4 …”

Section: Introductionmentioning

confidence: 99%

“…2 Compared with electronic prescriptions, handwritten prescriptions have been associated with a higher prescription error rate. 1,3,4 A prescription error occurs when, as a result of a prescribing decision or the prescription writing process, there is an unintentional significant reduction in the probability of treatment being timely and effective or an increase in the risk of harm compared with generally accepted practice. 5 In general practice, prescription errors are common, 6,7 and are related to any the following: absence of the name of the prescriber, 8,9 diagnosis, 10 or date; 11 illegible handwriting; 3,10,[12][13][14] use of other names rather than the generic drug name; 10,12,15 or strength of the drug not being specified.…”

Section: Introductionmentioning

confidence: 99%

Handwritten prescription practices in a public hospital in Uasin Gishu County, Kenya: a best practice implementation project

Amdany,

Kiprop

2023

JBI Evidence Implementation

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Background: Prescription writing error is a common phenomenon in the health sector. Appropriate handwritten prescription practices minimize medical errors during medical drug dispensing. Objectives: This project aimed to identify the extent to which clinicians adhere to handwritten drug prescription best practices and implement evidence-based strategies to improve compliance with handwritten prescription best practices in an outpatient department. Methods: The project was conceptually informed by the JBI Model of Evidence-Based Healthcare and the JBI Evidence Implementation Framework. Baseline and follow-up audit data were collected and analyzed using JBI's Practical Application of Clinical Evidence System (PACES) software. The JBI Getting Research into Practice (GRiP) program was used to identify potential barriers and design intervention strategies. The project was conducted in a public hospital outpatient department in Uasin Gishu County, Kenya. Results: There was a 100% improvement in compliance with the number of prescribers who had received education on essential features of a handwritten drug prescription. High compliance was observed in prescriptions that indicated the patient name (99%) and date of prescription (98%) in the follow-up audit. Approximately half of the prescriptions included a diagnosis of the disease in both the baseline and the follow-up audit. However, in the follow-up audit, only 21% of the prescriptions had legible handwriting and 27% prescribed drugs using the generic drug name. Conclusion: Regular audits and dissemination of audit findings through continuous medical education, hospital communication forums, and notices improved compliance with the number of prescriptions that contained the patient identifier and the date of prescription.

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Impact of Electronic Prescribing System on Prescribing Error Rate at Patients’ Transition of Care: An Interventional Study

Cited by 5 publications

References 26 publications

Perceptions of Prescribers towards Electronic Prescription: A Pre-Implementation Evaluation

Perceptions of Prescribers towards Electronic Prescription: A Pre-Implementation Evaluation

Assessment of handwritten prescriptions from Saudi Arabia according to international guidelines

Handwritten prescription practices in a public hospital in Uasin Gishu County, Kenya: a best practice implementation project

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