| Literature DB >> 29354518 |
Khaled A Elsaid1,2, Steven Garguilo1, Christine M Collins2.
Abstract
Chemotherapy drugs are characterized by low therapeutic indices and significant toxicities at clinically prescribed doses, raising serious issues of drug safety. The safety of the chemotherapy medication use process is further challenged by regimen complexity and need to tailor treatment to patient status. Errors that occur during chemotherapy prescribing are associated with serious and life-threatening outcomes. Computerized provider order entry (CPOE) systems were shown to reduce overall medication errors in ambulatory and inpatient settings. The adoption of chemotherapy CPOE is lagging due to financial cost and cultural and technological challenges. Institutions that adopted infusional or oral chemotherapy electronic prescribing modified existing CPOE systems to allow chemotherapy prescribing, implemented chemotherapy-specific CPOE systems, or developed home-grown chemotherapy electronic prescribing programs. Implementation of chemotherapy electronic prescribing was associated with a significant reduction in the risk of prescribing errors, most significantly dose calculation and adjustment errors. In certain cases, implementation of chemotherapy CPOE was shown to improve the chemotherapy use process. The implementation of chemotherapy CPOE may increase the risk of new types of errors, especially if processes are not redesigned and adapted to CPOE. Organizations aiming to implement chemotherapy CPOE should pursue a multidisciplinary approach engaging all stakeholders to guide system selection and implementation. Following implementation, organizations should develop and use a risk assessment process to identify and evaluate unanticipated consequences and CPOE-generated errors. The results of these analyses should serve to further enhance the chemotherapy electronic prescribing process and improve the quality and safety of cancer care.Entities:
Keywords: chemotherapy; computerized provider order entry; electronic health records
Year: 2015 PMID: 29354518 PMCID: PMC5741026 DOI: 10.2147/IPRP.S84232
Source DB: PubMed Journal: Integr Pharm Res Pract ISSN: 2230-5254
Implementation of infusional chemotherapy prescribing in ambulatory and inpatient care settings
| Reference | Setting | Form of chemotherapy electronic prescribing | Safety and clinical decision support features |
|---|---|---|---|
| Meisenberg et al | Mixed ambulatory patients and inpatients in the USA | Modification of an existing CPOE system by programming chemotherapy regimens. | CPOE is part of the EHR system. |
| Elsaid et al | Mixed ambulatory patients and inpatients in the USA | Institutionally developed online, readily accessible, modifiable regimen-specific electronic prescribing templates. | Automatic dose calculations based on BSA and AUC. |
| Hoffman et al | Mixed pediatric ambulatory and inpatient setting in the USA | Modification of an existing CPOE system by programming chemotherapy regimens. | CPOE is part of EHR system. |
| Harshberger et al | Mixed ambulatory and inpatient setting in the USA | Modification of an existing CPOE system by programming chemotherapy regimens. | CPOE is part of the EHR system. |
| Small et al | Ambulatory setting in the UK | Commercially available chemotherapy electronic prescribing program. | Automatic dose calculation and adjustment. |
| Huertas Fernández et al | Inpatient setting in Spain | Commercially available chemotherapy electronic prescribing computer program. | Automatic dose calculation and adjustment. |
| Kim et al | Mixed pediatric ambulatory and inpatient setting in the USA | Modification of an existing CPOE system by programming chemotherapy regimens. | Preprogrammed order sets with automatic dose calculations. |
| Voeffray et al | Mixed ambulatory and inpatient setting in Switzerland | Institutionally developed chemotherapy electronic prescribing computer program. | Automatic dose calculation and adjustment. |
Abbreviations: AUC, area under the curve; BSA, body surface area; CDS, clinical decision support; CPOE, computerized provider order entry; EHR, electronic health records.
Outcomes of infusional chemotherapy electronic prescribing interventions in hospital and ambulatory care settings
| Reference | Study design | Outcomes of interest | Impact of electronic prescribing on outcomes | Sample size and statistical analysis |
|---|---|---|---|---|
| Meisenberg et al | Quasi-experimental sequential design comparing handwritten orders, preprinted order sets, and CPOE prescribing | Problem rate (eg, missing patient information, inappropriate supportive care measures) | Problem rate (95% CI) | 2,216 handwritten; 2,480 preprinted order sets and 5,142 CPOE order sets |
| Elsaid et al | Quasi-experimental design in the form of interrupted time series with segmented regression | Monthly prevented prescribing errors per 1,000 chemotherapy doses during the pre-implementation, implementation, and post-implementation phases | Difference in prevented prescribing errors per 1,000 chemotherapy doses (implementation–pre-implementation) (95% CI): -5.1 (-9.9, -0.2) | 28,560 doses (pre-implementation) |
| Hoffman et al | No formal study was conducted | Reporting of patient safety events related to CPOE | No medication events attributed to CPOE caused harm | N/A |
| Harshberger et al | Retrospective chart review | Chemotherapy documentation completeness in EHR/CPOE and handwritten orders of select chemotherapy regimens | Significant increase in regimen completeness scores in the EHR/CPOE system compared with handwritten orders. | 45 charts in the EHR/CPOE group and 45 charts in the handwritten group. |
| Small et al | Quasi-experimental design comparing error rates in chemotherapy prescriptions using spreadsheet templates versus using CPOE | Error rate using spreadsheet chemotherapy prescriptions versus error rate using CPOE | Error rate and RR (95% CI) | 314 spreadsheet prescriptions |
| Huertas Fernández et al | Two-arm observational study comparing error rates in handwritten and computerized prescriptions | Error rate using handwritten prescriptions versus CPOE prescriptions | Handwritten: errors were detected in 100% of prescriptions | 30 handwritten prescriptions |
| Kim et al | Before and after comparing chemotherapy process using handwritten prescriptions versus CPOE prescriptions | Correct completion rates of steps of high importance as determined by oncologists, eg, proper medication dose for the regimen, correct dose calculation, and nurse review documentation | RR (95% CI) of improper dosing: 0.26 (0.11–0.61) | 1,250 handwritten prescriptions |
| Voeffray et al | Before and after comparing error rates in handwritten prescriptions versus CPOE prescriptions | Error rate using handwritten prescriptions versus CPOE prescriptions | Error rate (95% CI) | 940 handwritten prescriptions |
Abbreviations: CI, confidence interval; CPOE, computerized provider order entry; EHR, electronic health records; N/A, not available; RR, relative risk.
Development of oral chemotherapy electronic prescribing interventions in hospital and ambulatory care settings
| Reference | Setting | Form of chemotherapy electronic prescribing | Safety and clinical decision support features |
|---|---|---|---|
| Weingart et al | Ambulatory setting in the USA | Modification of an existing CPOE system by programming oral chemotherapy agents | CPOE is part of the EHR system. |
| Collins and Elsaid | Inpatient setting in the USA | Modification of an existing CPOE system by programming oral chemotherapy agents | CDS alerts as follows: |
Abbreviations: CDS, clinical decision support; CPOE, computerized provider order entry; BSA, body surface area; EHR, electronic health records.
Outcomes of oral chemotherapy electronic prescribing interventions in hospital and ambulatory care settings
| Reference | Study design | Outcomes of interest | Impact of electronic prescribing on outcomes | Sample size and statistical analysis |
|---|---|---|---|---|
| Weingart et al | Cohort study | Utilization of non-mandatory entry fields, eg, diagnosis and intent of therapy | Utilization of diagnosis field, 46% | 6,673 prescriptions in the post-implementation phase. |
| Collins and Elsaid | Before and after design | Prescribing error rate using handwritten prescriptions versus CPOE prescriptions | OR 0.31, 95% CI 0.11–0.89 | 412 handwritten prescriptions |
Abbreviations: CI, confidence interval; CPOE, computerized provider order entry; OR, odds ratio.