| Literature DB >> 34949924 |
Inge Dhamanti1,2,3, Eva Kurniawati4, Elida Zairina5, Ida Nurhaida6, Salsabila Salsabila1,2.
Abstract
PURPOSE: This scoping review aimed to assess the implementation and outcomes of computerized physician order entry (CPOE) in primary care.Entities:
Keywords: adoption; computerized physician order entry; e-prescription; patient safety; problem
Year: 2021 PMID: 34949924 PMCID: PMC8691134 DOI: 10.2147/JMDH.S344781
Source DB: PubMed Journal: J Multidiscip Healthc ISSN: 1178-2390
Literature Search Strategy
| Search | Field | ||
|---|---|---|---|
| Population | Concept | Context | |
| #1 AND #2 AND #3 | Primary care | Computerized physician order entry | Implementation |
| Public health center | Computerized provider order entry | ||
| Ambulatory care | Care provider order entry | ||
| e-prescribing | |||
| CPOE | |||
Figure 1Prisma flow diagram.
Summary Table
| Author, Year | Country and Setting | Aim | Study Design | Outcomes | Key Findings | Donabedian Framework |
|---|---|---|---|---|---|---|
| Overhage et al., 2016 | The US; two ambulatory primary care practices in Boston and Indianapolis | The purpose of this study was to see how basic computerized prescribing affected preventable and potential adverse drug events (ADEs) in the ambulatory setting. | The study was a before-after design with each measurement | Measured potential and | a.In ambulatory primary care practices affiliated with one medical center but not another, computerized prescribing with basic decision support to order medications was associated with a lower rate of preventable and potential ADEs. | a.Structure: |
| Ney et al., 2019 | The US: office-based medical care from nonfederal | The purpose of this study was to determine the impact of computerized prescriber order entry (CPOE) on opioid prescribing practices. | A cross-sectional study using data pooled from the National | Opiate prescription rates | a.In a large nationally representative multiyear sample of ambulatory care visits to both primary care and specialist physicians, opiate prescription is significantly associated with access to CPOE. | Structure: access to CPOE is unevenly distributed |
| Fischer et al., 2020 | The US; health-system | To understand the current state of CPOE usage and trends among ambulatory practices. | Cross-sectional study using three-year panel data (2014–2016) from the | CPOE use and the percent of CPOE use | a.Overall CPOE use increased from 58 to 67% between 2014 and 2016. | a.Structure: Clinical size and type of health-care system were two factors associated with CPOE use and adoption in primary care. |
| Bulut et al., 2019 | Turkey; family physicians | To assess the functionality of Turkey’s e-prescription system implementation. | Cross-sectional study involving 1564 family physicians | a.Positive effects of e-prescriptions on the procedures of family physicians | a.The use of e-prescriptions had the advantage of speeding up the prescription process and saving time (36.6%). | a.Structure: The failure to obtain the infrastructure was a problem in the implementation of CPOE. |
| Motulsky et al., 2019 | Canada; certified electronic health record (EHR) | To evaluate the system after following its implementation, with a focusing on adoption of the system in the province, and its quality for improving the prescribing and dispensing processes in primary care | A cross-sectional, mixed methods study. | a.Adoption of the e-prescribing | a.Adoption was low, as the total number of eRx sent represented on average 13% of all prescriptions dispensed during the study period, indicating that the vast majority of prescriptions received were not electronically transmitted. | a.Structure: The CPOE implementation was identified from the perspective of the user, both on the prescriber and receiver sides. |
| Dhavle et al., 2021 | The US; 549 community-based prescribers | To examine the content of free-text prescriber notes in new ambulatory e-prescriptions and make recommendations to improve e-prescribing practices. | a retrospective, qualitative analysis of free-text | Identification inappropriate and appropriate content | a.14.9% of e-prescriptions contained free-text notes, 66.1% of which contained inappropriate content. | a.Process: Inconsistent, ambiguous, or contradictory patient instructions in the prescriber’s notes disrupt the pharmacy workflow process. |
| Chackunkal et al. 2016 | The US; Henry Ford Health System’s ambulatory oncology clinic | To demonstrate that educational interventions are effective strategies for improving infusion workflow compliance. | A quasi-experimental study. The intervention, infusion center staff education, was initiated by ambulatory-based oncology pharmacists and implemented by a multidisciplinary team of pharmacists and nurses. | a.The primary outcome was the change in the composite compliance rate before and after intervention | a.The intervention increased the composite compliance rate to the workflow in ambulatory oncology infusion centers significantly. | Impact: The CPOE intervention increased compliance and optimized individual workflow steps. |