Evaluation of outpatient computerized physician medication order entry systems: a systematic review

How intervention studies measure the effectiveness of medication safety-related clinical decision support systems in primary and long-term care: a systematic review

BACKGROUND

Medication errors and associated adverse drug events (ADE) are a major cause of morbidity and mortality worldwide. In recent years, the prevention of medication errors has become a high priority in healthcare systems. In order to improve medication safety, computerized Clinical Decision Support Systems (CDSS) are increasingly being integrated into the medication process. Accordingly, a growing number of studies have investigated the medication safety-related effectiveness of CDSS. However, the outcome measures used are heterogeneous, leading to unclear evidence. The primary aim of this study is to summarize and categorize the outcomes used in interventional studies evaluating the effects of CDSS on medication safety in primary and long-term care.

METHODS

We systematically searched PubMed, Embase, CINAHL, and Cochrane Library for interventional studies evaluating the effects of CDSS targeting medication safety and patient-related outcomes. We extracted methodological characteristics, outcomes and empirical findings from the included studies. Outcomes were assigned to three main categories: process-related, harm-related, and cost-related. Risk of bias was assessed using the Evidence Project risk of bias tool.

RESULTS

Thirty-two studies met the inclusion criteria. Almost all studies (n = 31) used process-related outcomes, followed by harm-related outcomes (n = 11). Only three studies used cost-related outcomes. Most studies used outcomes from only one category and no study used outcomes from all three categories. The definition and operationalization of outcomes varied widely between the included studies, even within outcome categories. Overall, evidence on CDSS effectiveness was mixed. A significant intervention effect was demonstrated by nine of fifteen studies with process-related primary outcomes (60%) but only one out of five studies with harm-related primary outcomes (20%). The included studies faced a number of methodological problems that limit the comparability and generalizability of their results.

CONCLUSIONS

Evidence on the effectiveness of CDSS is currently inconclusive due in part to inconsistent outcome definitions and methodological problems in the literature. Additional high-quality studies are therefore needed to provide a comprehensive account of CDSS effectiveness. These studies should follow established methodological guidelines and recommendations and use a comprehensive set of harm-, process- and cost-related outcomes with agreed-upon and consistent definitions.

PROSPERO REGISTRATION

CRD42023464746.

Application of the Failure Mode and Effects Analysis (FMEA) to identify vulnerabilities and opportunities for improvement prior to implementing a computerized prescription order entry (CPOE) system in a university hospital oncology clinic

INTRODUCTION

Prior to implementing a new computerized prescription order entry (CPOE) application, the potential risks associated with this system were assessed and compared to those of paper-based prescriptions. The goal of this study is to identify the vulnerabilities of the CPOE process in order to adapt its design and prevent these potential risks.

METHODS AND MATERIALS

Failure mode and effects analysis (FMEA) was used as a prospective risk-management technique to evaluate the chemotherapy medication process in a university hospital oncology clinic. A multidisciplinary team assessed the process and compared the critical steps of a newly developed CPOE application versus paper-based prescriptions. The potential severity, occurrence and detectability were assessed prior to the implementation of the CPOE application in the clinical setting.

RESULTS

The FMEA led to the identification of 24 process steps that could theoretically be vulnerable, therefore called failure modes. These failure modes were grouped into four categories of potential risk factors: prescription writing, patient scheduling, treatment dispensing and patient follow-up. Criticality scores were calculated and compared for both strategies. Three failure modes were prioritized and led to modification of the CPOE design. Overall, the CPOE pathway showed a potential risk reduction of 51% compared to paper-based prescriptions.

CONCLUSION

FMEA was found to be a useful approach to identify potential risks in the chemotherapy medication process using either CPOE or paper-based prescriptions. The e-prescription mode was estimated to result in less risk than the traditional paper mode.

Interruptive Electronic Alerts for Choosing Wisely Recommendations: A Cluster Randomized Controlled Trial

OBJECTIVE

To assess the efficacy of interruptive electronic alerts in improving adherence to the American Board of Internal Medicine's Choosing Wisely recommendations to reduce unnecessary laboratory testing.

MATERIALS AND METHODS

We administered 5 cluster randomized controlled trials simultaneously, using electronic medical record alerts regarding prostate-specific antigen (PSA) testing, acute sinusitis treatment, vitamin D testing, carotid artery ultrasound screening, and human papillomavirus testing. For each alert, we assigned 5 outpatient clinics to an interruptive alert and 5 were observed as a control. Primary and secondary outcomes were the number of postalert orders per 100 patients at each clinic and number of triggered alerts divided by orders, respectively. Post hoc analysis evaluated whether physicians experiencing interruptive alerts reduced their alert-triggering behaviors.

RESULTS

Median postalert orders per 100 patients did not differ significantly between treatment and control groups; absolute median differences ranging from 0.04 to 0.40 for PSA testing. Median alerts per 100 orders did not differ significantly between treatment and control groups; absolute median differences ranged from 0.004 to 0.03. In post hoc analysis, providers receiving alerts regarding PSA testing in men were significantly less likely to trigger additional PSA alerts than those in the control sites (Incidence Rate Ratio 0.12, 95% CI [0.03-0.52]).

DISCUSSION

Interruptive point-of-care alerts did not yield detectable changes in the overall rate of undesired orders or the order-to-alert ratio between active and silent sites. Complementary behavioral or educational interventions are likely needed to improve efforts to curb medical overuse.

CONCLUSION

Implementation of interruptive alerts at the time of ordering was not associated with improved adherence to 5 Choosing Wisely guidelines.

TRIAL REGISTRATION

NCT02709772.

Barriers to reporting clinical errors in operating theatres and intensive care units of a university hospital: a qualitative study

BACKGROUND

Clinical errors are one of the challenges of health care in different countries, and obtaining accurate statistics regarding clinical errors in most countries is a difficult process which varies from one study to another. The current study was conducted to identify barriers to reporting clinical errors in the operating theatre and the intensive care unit of a university hospital.

METHODS

This qualitative study was conducted in the operating theatre and intensive care unit of a university hospital. Data collection was conducted through semi-structured interviews with health care staff, senior doctors, and surgical assistants. Data analysis was carried out through listening to the recorded interviews and developing transcripts of the interviews. Meaning units were identified and codified based on the type of discussion. Then, codes which had a common concept were grouped under one category. Finally, the codes and designated categories were analysed, discussed and confirmed by a panel of four experts of qualitative content analysis, and the main existing problems were identified and derived.

RESULTS

Barriers to reporting clinical errors were extracted in two themes: individual problems and organizational problems. Individual problems included 4 categories and 12 codes and organizational problems included 6 categories and 17 codes. The results showed that in the majority of cases, nurses expressed their desire to change the current prevailing attitudes in the workplace while doctors expected the officials to implement reform policies regarding clinical errors in university hospitals.

CONCLUSION

In order to alleviate the barriers to reporting clinical errors, both individual and organizational problems should be addressed and resolved. At an individual level, training nursing and medical teams on error recognition is recommended. In order to solve organizational problems, on the other hand, the process of reporting clinical errors should be improved as far as the nursing team is concerned, but when it comes to the medical team, addressing legal loopholes should be given full consideration.

User-centered design of a scalable, electronic health record-integrated remote symptom monitoring intervention for patients with asthma and providers in primary care

OBJECTIVE

To determine user and electronic health records (EHR) integration requirements for a scalable remote symptom monitoring intervention for asthma patients and their providers.

METHODS

Guided by the Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability (NASSS) framework, we conducted a user-centered design process involving English- and Spanish-speaking patients and providers affiliated with an academic medical center. We conducted a secondary analysis of interview transcripts from our prior study, new design sessions with patients and primary care providers (PCPs), and a survey of PCPs. We determined EHR integration requirements as part of the asthma app design and development process.

RESULTS

Analysis of 26 transcripts (21 patients, 5 providers) from the prior study, 21 new design sessions (15 patients, 6 providers), and survey responses from 55 PCPs (71% of 78) identified requirements. Patient-facing requirements included: 1- or 5-item symptom questionnaires each week, depending on asthma control; option to request a callback; ability to enter notes, triggers, and peak flows; and tips pushed via the app prior to a clinic visit. PCP-facing requirements included a clinician-facing dashboard accessible from the EHR and an EHR inbox message preceding the visit. PCP preferences diverged regarding graphical presentations of patient-reported outcomes (PROs). Nurse-facing requirements included callback requests sent as an EHR inbox message. Requirements were consistent for English- and Spanish-speaking patients. EHR integration required use of custom application programming interfaces (APIs).

CONCLUSION

Using the NASSS framework to guide our user-centered design process, we identified patient and provider requirements for scaling an EHR-integrated remote symptom monitoring intervention in primary care. These requirements met the needs of patients and providers. Additional standards for PRO displays and EHR inbox APIs are needed to facilitate spread.

Effect of Electronic Prescribing Compared to Paper-Based (Handwritten) Prescribing on Primary Medication Adherence in an Outpatient Setting: A Systematic Review

BACKGROUND

Electronic prescriptions are often created and delivered electronically to the pharmacy while paper-based/handwritten prescriptions may be delivered to the pharmacy by the patients. These differences in the mode of creation and transmission of the two types of prescription could influence the rate at which outpatients fill new prescriptions of previously untried medications.

OBJECTIVES

This study aimed to evaluate literatures to determine the impact of electronic prescribing compared with paper-based/handwritten prescribing on primary medication adherence in an outpatient setting.

METHODS

The keywords and phrases "outpatients," "e-prescriptions," "paper-based prescriptions," and "primary medication adherence" were combined with their relevant synonyms and medical subject headings. A comprehensive literature search was conducted on EMBASE, CINAHL, and MEDLINE databases, and Google Scholar. The results of the search were screened and selected using predefined inclusion and exclusion criteria. The Critical Appraisal Skills Program (CASP) was used for quality appraisal of included studies. Data relevant to the objective of the review were extracted and analyzed through narrative synthesis.

RESULTS

A total of 10 original studies were included in the final review, including 1 prospective randomized study and 9 observational studies. Nine of the 10 studies were performed in the United States. Four of the studies indicated that electronic prescribing significantly increases initial medication adherence, while four of the studies suggested the opposite. The remaining two studies found no significant difference in primary medication adherence between the two methods of prescribing. The variations in the studies did not allow the homogeneity required for meta-analysis to be achieved.

CONCLUSION

The conflicting findings relating to the efficacy of primary medication adherence across both systems demonstrate the need for a standardized measure of medication adherence. This would help further determine the respective benefits of both approaches. Future research should also be conducted in different countries to give a more accurate representation of adherence.

Short-Duration Electronic Health Record Option Buttons to Reduce Prolonged Length of Antibiotic Therapy in Outpatients

BACKGROUND

Prolonged antibiotic therapy may be associated with increased adverse events and antibiotic resistance. We deployed an intervention in the electronic health record (EHR) to reduce antibiotic duration for pediatric outpatients.

METHODS

A preintervention and postintervention interrupted time series analysis of antibiotic duration for 7 antibiotics was performed for patients discharged from the ED and clinics of a children's hospital network from 2012 to 2018. In February 2015, clickable 5- and 7-day duration option buttons were deployed in the EHR for clindamycin, cephalexin, ciprofloxacin and levofloxacin, trimethoprim-sulfamethoxazole, amoxicillin, and cefdinir, with an additional 10-day option for the latter 2. Prescribers were able to enter a free-text duration. The option buttons were not announced, and were not linked to a specific diagnosis or quality improvement initiative. The primary outcome was proportion of prescriptions per month with duration of 10 days. Balancing secondary outcomes were reorders of the same agent, return to clinic, and inpatient admissions within 30 days.

RESULTS

There were 54 315 prescriptions for the 7 antibiotics associated with 39 894 patients, 18 683 clinic visits, and 35 632 ED visits. Overall, a -5.1% (95% confidence interval [CI], -8.3% to -2.0%) change in the proportion of prescriptions with a 10-day duration was attributable to the intervention, with larger effects noted for clindamycin (-20.8% [95% CI, -26.9% to -14.7%]) and cephalexin (-9.9% [95% CI, -14.3% to -5.4%]). There was no increase in the reorders of the same agent, return clinical encounters, or inpatient admissions within 30 days.

CONCLUSIONS

A simple intervention in the EHR can safely reduce duration of antibiotic therapy.

Clinical decision support systems-based interventions to improve medication outcomes: A systematic literature review on features and effects

Background: Clinical decision support systems (CDSSs) interventions were used to improve the life quality and safety in patients and also to improve practitioner performance, especially in the field of medication. Therefore, the aim of the paper was to summarize the available evidence on the impact, outcomes and significant factors on the implementation of CDSS in the field of medicine. Methods: This study is a systematic literature review. PubMed, Cochrane Library, Web of Science, Scopus, EMBASE, and ProQuest were investigated by 15 February 2017. The inclusion requirements were met by 98 papers, from which 13 had described important factors in the implementation of CDSS, and 86 were medicated-related. We categorized the system in terms of its correlation with medication in which a system was implemented, and our intended results were examined. In this study, the process outcomes (such as; prescription, drug-drug interaction, drug adherence, etc.), patient outcomes, and significant factors affecting the implementation of CDSS were reviewed. Results: We found evidence that the use of medication-related CDSS improves clinical outcomes. Also, significant results were obtained regarding the reduction of prescription errors, and the improvement in quality and safety of medication prescribed. Conclusion: The results of this study show that, although computer systems such as CDSS may cause errors, in most cases, it has helped to improve prescribing, reduce side effects and drug interactions, and improve patient safety. Although these systems have improved the performance of practitioners and processes, there has not been much research on the impact of these systems on patient outcomes.

Digital Health in Physicians' and Pharmacists' Office: A Comparative Study of e-Prescription Systems' Architecture and Digital Security in Eight Countries

e-Prescription systems are key components and drivers of digital health. They can enhance the safety of the patients, and are gaining popularity in health care systems around the world. Yet, there is little knowledge on comparative international analysis of e-Prescription systems' architecture and digital security. We report, in this study, original findings from a comparative analysis of the e-Prescription systems in eight different countries, namely, Canada, United States, United Kingdom, Australia, Spain, Japan, Sweden, and Denmark. We surveyed the databases related to pharmacies, eHealth, e-Prescriptions, and related digital health websites for each country, and their system architectures. We also compared the digital security and privacy protocols in place within and across these digital systems. We evaluated the systems' authentication protocols used by pharmacies to verify patients' identities during the medication dispensing process. Furthermore, we examined the supporting systems/services used to manage patients' medication histories and enhance patients' medication safety. Taken together, we report, in this study, original comparative findings on the limitations and challenges of the surveyed systems as well as in adopting e-Prescription systems. While the present study was conducted before the onset of COVID-19, e-Prescription systems have become highly relevant during the current pandemic and hence, a deeper understanding of the country systems' architecture and digital security that can help design effective strategies against the pandemic. e-Prescription systems can help reduce physical contact and the risk of exposure to the virus, as well as the wait times in pharmacies, thus enhancing patient safety and improving planetary health.

Proteomics and Metabolomics Approaches towards a Functional Insight onto AUTISM Spectrum Disorders: Phenotype Stratification and Biomarker Discovery

Autism spectrum disorders (ASDs) are neurodevelopmental disorders characterized by behavioral alterations and currently affect about 1% of children. Significant genetic factors and mechanisms underline the causation of ASD. Indeed, many affected individuals are diagnosed with chromosomal abnormalities, submicroscopic deletions or duplications, single-gene disorders or variants. However, a range of metabolic abnormalities has been highlighted in many patients, by identifying biofluid metabolome and proteome profiles potentially usable as ASD biomarkers. Indeed, next-generation sequencing and other omics platforms, including proteomics and metabolomics, have uncovered early age disease biomarkers which may lead to novel diagnostic tools and treatment targets that may vary from patient to patient depending on the specific genomic and other omics findings. The progressive identification of new proteins and metabolites acting as biomarker candidates, combined with patient genetic and clinical data and environmental factors, including microbiota, would bring us towards advanced clinical decision support systems (CDSSs) assisted by machine learning models for advanced ASD-personalized medicine. Herein, we will discuss novel computational solutions to evaluate new proteome and metabolome ASD biomarker candidates, in terms of their recurrence in the reviewed literature and laboratory medicine feasibility. Moreover, the way to exploit CDSS, performed by artificial intelligence, is presented as an effective tool to integrate omics data to electronic health/medical records (EHR/EMR), hopefully acting as added value in the near future for the clinical management of ASD.

Main Elements of National Model of Electronic Prescription System from Physicians' Point of View: A Case Study in a Developing Country

Identifying the factors and components of an electronic prescription system is of utmost importance in effective designing and implementation of this system. In this regard, the current study was conducted to determine the main factors affecting the national model of electronic prescription from the physicians' point of view. This is a cross-sectional, descriptive-analytical research carried out in 2015. Based on the census sampling method, 104 members of the board of directors of the Iranian general practitioners' associations, general practitioners' alumni association of Iran, and physicians owner of a website or weblog were selected as samples for this study. Data were collected using a valid and reliable questionnaire. After analyzing the data with SPSS software (v.16), a model was proposed using a regression algorithm. The findings indicated that accessing the current medication data and medication history of patients during prescription, and also creating the electronic patient medication record (ePMR) are the most important selective components for physicians with frequency percent of 92.1%. Moreover, from the physicians' viewpoint, the method of "transmission of prescriptions to the central national database and retrieving prescriptions information from the selected pharmacy of the patient" had the highest priority (weight coefficient) in the model of the national electronic prescription system. Therefore, the Iranian prescription system is required to be developed based on the centralized architecture and national electronic prescription database.

Effect of Electronic Prescribing Strategies on Medication Error and Harm in Hospital: a Systematic Review and Meta-analysis

BACKGROUND

Computerized physician order entry and clinical decision support systems are electronic prescribing strategies that are increasingly used to improve patient safety. Previous reviews show limited effect on patient outcomes. Our objective was to assess the impact of electronic prescribing strategies on medication errors and patient harm in hospitalized patients.

METHODS

MEDLINE, EMBASE, CENTRAL, and CINAHL were searched from January 2007 to January 2018. We included prospective studies that compared hospital-based electronic prescribing strategies with control, and reported on medication error or patient harm. Data were abstracted by two reviewers and pooled using random effects model. Study quality was assessed using the Effective Practice and Organisation of Care and evidence quality was assessed using Grading of Recommendations Assessment, Development, and Evaluation.

RESULTS

Thirty-eight studies were included; comprised of 11 randomized control trials and 27 non-randomized interventional studies. Electronic prescribing strategies reduced medication errors (RR 0.24 (95% CI 0.13, 0.46), I² 98%, n = 11) and dosing errors (RR 0.17 (95% CI 0.08, 0.38), I² 96%, n = 9), with both risk ratios significantly affected by advancing year of publication. There was a significant effect of electronic prescribing strategies on adverse drug events (ADEs) (RR 0.52 (95% CI 0.40, 0.68), I² 0%, n = 2), but not on preventable ADEs (RR 0.55 (95% CI 0.30, 1.01), I² 78%, n = 3), hypoglycemia (RR 1.03 (95% CI 0.62-1.70), I² 28%, n = 7), length of stay (MD - 0.18 (95% - 1.42, 1.05), I² 94%, n = 7), or mortality (RR 0.97 (95% CI 0.79, 1.19), I² 74%, n = 9). The quality of evidence was rated very low.

DISCUSSION

Electronic prescribing strategies decrease medication errors and adverse drug events, but had no effect on other patient outcomes. Conservative interpretations of these findings are supported by significant heterogeneity and the preponderance of low-quality studies.

The usability aspects of medication-related decision support systems in the inpatient setting: A systematic review

Effort has been made to study the effect of medication-related clinical decision support systems in the inpatient setting; however, there is not much known about the usability of these systems. The goal of this study is to systematically review studies that focused on the usability aspects such as effectiveness, efficiency, and satisfaction of these systems. We systematically searched relevant articles in Scopus, Embase, and PubMed from 1 January 2000 to 1 January 2016, and found 22 articles. Based on Van Welie’s usability model, we categorized usability aspects in terms of usage indicators and means. Our results showed that evidence was mainly found for effectiveness and efficiency. They showed positive results in the usage indicators errors and safety and performance speed. The means warnings and adaptability also had mostly positive results. To date, the effects satisfaction of clinical decision support system remains understudied. Aspects such as memorability, learnability, and consistency require more attention.

Physicians' Perceptions of Electronic Prescribing with Electronic Medical Records in Kuwaiti Primary Healthcare Centres

Objectives

This study aimed to evaluate physicians' perceptions of electronic prescribing in Kuwaiti primary healthcare centres.

Methods

This cross-sectional study was conducted between June and August 2017 among 368 physicians from 25 primary healthcare centres in Kuwait. Data were collected from the participants using a self-reported questionnaire, including sociodemographic characteristics, previous experience with computers and awareness, knowledge and use of e-prescribing systems and their functional features. In addition, perceptions of the benefits and levels of satisfaction associated with e-prescribing were explored.

Results

A total of 306 physicians completed the survey (response rate: 83%). The majority had positive perceptions regarding the use of e-prescribing, particularly in terms of time-savings (86%), healthcare quality (84%), productivity (80%) and clinical workflow and efficiency (83%). However, many respondents indicated that e-prescribing systems required additional improvements in terms of functionality.

Conclusion

Most physicians in primary healthcare centres in Kuwait recognised the importance of e-prescribing to improve the quality of patient care, streamline workflow, increase productivity and reduce medical errors. However, there is a need to improve the design and infrastructure of e-prescribing systems, which may aid in the adoption of such systems in Kuwait.

A systematic review of the effects of implementing clinical pathways supported by health information technologies

OBJECTIVE

Health information technology (HIT) interventions include electronic patient records, prescribing, and ordering systems. Clinical pathways are multidisciplinary plans of care that enable the delivery of evidence-based healthcare. Our objective was to systematically review the effects of implementing HIT-supported clinical pathways.

MATERIALS AND METHODS

A systematic review protocol was developed including Medline, Embase, and CENTRAL database searches. We recorded data relating to study design, participants, intervention, and outcome characteristics and formally assessed risk of bias.

RESULTS

Forty-four studies involving more than 270 000 patients were included. Investigation methodologies included before-after (n = 16, 36.4%), noncomparative (n = 14, 31.8%), interrupted time series (n = 5, 11.4%), retrospective cohort (n = 4, 9.1%), cluster randomized (n = 2, 4.5%), controlled before-after (n = 1, 2.3%), prospective case-control (n = 1, 2.3%), and prospective cohort (n = 1, 2.3%) study designs. Clinical decision support (n = 25, 56.8%), modified electronic documentation (n = 23, 52.3%), and computerized provider order entry (n = 23, 52.3%) were the most frequently utilized HIT interventions. The majority of studies (n = 38, 86.4%) reported benefits associated with HIT-supported pathways. These included reported improvements in objectively measured patient outcomes (n = 15, 34.1%), quality of care (n = 29, 65.9%), and healthcare resource utilization (n = 10, n = 22.7%).

DISCUSSION

Although most studies reported improvements in outcomes, the strength of evidence was limited by the study designs that were utilized.

CONCLUSIONS

Ongoing evaluations of HIT-supported clinical pathways are justified but would benefit from study designs that report key outcomes (including adverse events) and minimize the risk of bias.

A study of the validity and reliability of the questionnaire entitled "physicians' approach to and disclosure of medical errors and the related ethical issues"

Medical errors are among the major challenges that threaten patients' health worldwide. The aim of this study was to design a valid and reliable questionnaire to investigate the status of medical error disclosure by physicians. A preliminary questionnaire was developed based on the extracted results from 37 interviews with specialists. To test the validity of the questionnaire, 20 medical practitioners and medical ethics authorities were asked to evaluate the relevance and clarity of each item. To measure the instrument's reliability (the intra-class correlation coefficient and Cronbach's alpha), a test-retest study was conducted on 20 randomly selected physicians twice with a 2-week interval. Statistical analyses were performed using SPSS software version 20. The overall relevance and clarity of the instrument, with an average approach, were measured at 97.22 and 94.03 percent respectively. The Cronbach's alpha, which presents the internal consistency was satisfactory (0.70 - 0.79) for various domains of the questionnaire. The range of intra-class correlation coefficients for the items in all domains of the questionnaire was 0.76 to 1.00. Regarding the validity and reliability of the questionnaire, it can be an appropriate instrument in the assessment and monitoring of the status of medical error disclosure by physicians.

Adherence to a Standardized Chemotherapy Order form for Colorectal Cancer in a Referral Teaching Hospital, Mashhad, Iran

Using standardized forms for prescription and administration of medications is one of the main solutions for reducing medication errors in the chemotherapy process. Considering the high prevalence and mortality rate of colorectal cancer, in this study we tried to design and validate a standard printed form and evaluate oncologists' and nurses' adherence to this form. This cross-sectional study was performed in Omid hospital, Mashhad, Iran from January 2015 to October 2015. A Chemotherapy form including various demographic and clinical parameters and approved chemotherapy regimens for colorectal cancer was designed by the clinical pharmacist and validated by clinical oncologists working in this center. All eligible patients admitted in this center during this period of time were included in the study. Adherence of the oncologists and nurses to this form and probable medication errors were identified by the pharmacy student. Sixty-seven patients with colorectal cancer and a total of 251 chemotherapy courses were evaluated. All patients received regimens compatible with developed form but in 206 courses (98.56%) of chemotherapy dosing error happened and in most of cases patients received lower than calculated dose (37.8%). Three errors occurred in administration step by nurses which they infused the medication in shorter than recommended duration. In general, oncologists' adherence with developed form for chemotherapy of colorectal cancer was relatively high, except in dose calculation. Avoiding from rounding the calculated medications' doses and precise calculation of patients' body surface area can prevent most of medication errors and reduce risk of adverse drug reaction occurrence.

Usability aspects of medication-related decision support systems in the outpatient setting: A systematic literature review

In this study, we evaluated the usability aspects of medication-related clinical decision support systems in the outpatient setting. Articles published between 2000 and 2016 in Scopus, PubMed and EMBASE were searched and classified into three usability aspects: Effectiveness, Efficiency and Satisfaction. Using Van Welie et al.’s usability model, we categorized usability aspects in terms of usage indicators and means. Out of the 1999 articles, 24 articles met the selection criteria of which the main focus was on reducing inappropriate medication, prescription rate and prescription errors. Evidence could mainly be found for Effectiveness and showed high rates of positive results in reducing medication errors. To date, the effects of Efficiency and Satisfaction of clinical decision support systems regarding medication prescription remain understudied. Usability aspects such as memorability, learnability, adaptability, shortcuts and consistency require more attention. Studies are needed for better insight into the user model and to design a knowledge/task model for clinical decision support systems regarding medication prescription.

Diagnostic accuracy in Family Medicine residents using a clinical decision support system (DXplain): a randomized-controlled trial

BACKGROUND

Clinical reasoning is an essential skill in physicians, required to address the challenges of accurate patient diagnoses. The goal of the study was to compare the diagnostic accuracy in Family Medicine residents, with and without the use of a clinical decision support tool (DXplain http://www.mghlcs.org/projects/dxplain).

METHODS

A total of 87 first-year Family Medicine residents, training at the National Autonomous University of Mexico (UNAM) Postgraduate Studies Division in Mexico City, participated voluntarily in the study. They were randomized to a control group and an intervention group that used DXplain. Both groups solved 30 clinical diagnosis cases (internal medicine, pediatrics, gynecology and emergency medicine) in a multiple-choice question test that had validity evidence.

RESULTS

The percent-correct score in the Diagnosis Test in the control group (44 residents) was 74.1±9.4 (mean±standard deviation) whereas the DXplain intervention group (43 residents) had a score of 82.4±8.5 (p<0.001). There were significant differences in the four knowledge content areas of the test.

CONCLUSIONS

Family Medicine residents have appropriate diagnostic accuracy that can improve with the use of DXplain. This could help decrease diagnostic errors, improve patient safety and the quality of medical practice. The use of clinical decision support systems could be useful in educational interventions and medical practice.

Using EMR-enabled computerized decision support systems to reduce prescribing of potentially inappropriate medications: a narrative review

Prescribing of potentially inappropriate medications (PIMs) that pose more risk than benefit in older patients is a common occurrence across all healthcare settings. Reducing such prescribing has been challenging despite multiple interventions, including educational campaigns, audits and feedback, geriatrician assessment and formulary restrictions. With the increasing uptake of electronic medical records (EMRs) across hospitals, clinics and residential aged care facilities (RACFs), integrated with computerized physician order entry (CPOE) and e-prescribing, opportunities exist for incorporating clinical decision support systems (CDSS) into EMR at the point of care. This narrative review assessed the process and outcomes of using EMR-enabled CDSS to reduce the prescribing of PIMs. We searched PubMed for relevant articles published up to January 2018 and focused on those that described EMR-enabled CDSS that assisted prescribers to make changes at the time of ordering PIMs in adults. Computerized systems offering only medication reconciliation, dose checks, monitoring for medication errors, or basic formulary information were not included. In addition to outcome measures of medication-related processes and adverse drug events, qualitative data relating to factors that influence effectiveness of EMR-enabled CDSS were also gathered from selected studies. We analysed 20 studies comprising 10 randomized trials and 10 observational studies performed in hospitals (n = 8), ambulatory care clinics (n = 9) and RACFs (n = 3). Studies varied in patient populations (although most involved older patients), type of CDSS, method of linkage with EMR, study designs and outcome measures. However, assuming little publication bias, the totality of evidence favoured EMR-enabled CDSS as being effective in reducing the prescribing of PIMs in hospitals, although results were more mixed for ambulatory care settings and RACFs. While absolute effects in most positive studies were modest, they suggest EMR-enabled CDSS are feasible and acceptable to clinicians, and if certain design features are adhered to, there is potential for even greater impact.

Evaluation of computerized provider order entry systems: assessing the usability of systems for electronic prescription

BACKGROUND

The field of medicine has been influenced by the growth and development of information systems such as the Computerized Provider Order Entry (CPOE) System.

OBJECTIVE

This study aimed to evaluate the usability of CPOE systems for electronic prescription in Tehran, Iran.

METHODS

This was an evaluation study conducted in 2017. The research population consisted of the CPOE systems used in hospitals of Tehran (Iran) and nurses who had access to, and used, the CPOE systems. Five hospitals with CPOE systems were included in the research sample. The data were collected using a questionnaire, and included a total of 50 questions. The questionnaires were distributed among 254 nurses who were the users of the systems. Data analysis was performed by IBM-SPSS version 21, using independent-samples t-test. A p-value of ≤0.05 was considered statistically significant.

RESULTS

Among the four aspects assessed, the "user-friendliness" (3.87±0.59) had the highest mean score. The lowest mean score (2.01±0.58) was related to the "decision support" feature of the systems. The highest and lowest mean scores for "prescription support" criterion belonged to system E (3.26±0.23) and system C (1.90±0.16), respectively. There was a statistically significant difference between the usability of the systems used in the private and the public hospitals (p<0.001). It was found that the CPOE systems in private hospitals had a higher level of usability (3.42+0.10) compared to those in public hospitals (2.91+0.25).

CONCLUSION

Two main functions of the studied CPOE systems i.e., decision support and prescription support should be developed to make electronic prescription safer and more intuitive. Addressing usability aspects of CPOE systems in practice could improve the usability of these systems for prescription.

Mixed methods study of medication-related decision support alerts experienced during electronic prescribing for inpatients at an English hospital

Objectives

Electronic prescribing and medication administration systems are being introduced in many hospitals worldwide, with varying degrees of clinical decision support including pop-up alerts. Previous research suggests that prescribers override a high proportion of alerts, but little research has been carried out in the UK. Our objective was to explore rates of alert overriding in different prescribing situations and prescribers’ perceptions around the use of decision support alerts in a UK hospital.

Methods

We conducted a mixed methods study on three cardiology wards, directly observing medical and non-medical prescribers’ alert override rates during both ward round and non-ward round prescribing; observations were followed by semi-structured interviews with prescribers, which were then transcribed and analysed thematically.

Results

Overall, 69% of 199 observed alerts were overridden. Alerts experienced during ward rounds were significantly more likely to be overridden than those outside of ward rounds (80% of 56 vs 51% of 63; p=0.001, Χ² test). While respondents acknowledged that alerts could be useful, several also described negative unintended consequences. Many were of the view that usefulness of alerts was limited if the alert was reminding them to do something they would do anyway, or suggesting something they did not feel was relevant. Findings suggest that targeting, timing and additional features of alerts are critical factors in determining whether they are acted on or overridden.

Conclusion

The majority of alerts were overridden. Alerts may be less likely to be overridden if they are built into the prescribing workflow.

Impact on process results of clinical decision support systems (CDSSs) applied to medication use: overview of systematic reviews

Objective

The purpose of this overview (systematic review of systematic reviews) is to evaluate the impact of clinical decision support systems (CDSS) applied to medication use in the care process.

Methods

A search for systematic reviews that address CDSS was performed on Medline following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Cochrane recommendations. Terms related to CDSS and systematic reviews were used in combination with Boolean operators and search field tags to build the electronic search strategy. There was no limitation of date or language for inclusion. We included revisions that investigated, as a main or secondary objective, changes in process outcomes. The Revised Assessment of Multiple Systematic Reviews (R-AMSTAR) score was used to evaluate the quality of the studies.

Results

The search retrieved 954 articles. Five articles were added through manual search, totaling an initial sample of 959 articles. After screening and reading in full, 44 systematic reviews met the inclusion criteria. In the medication-use processes where CDSS was used, the most common stages were prescribing (n=38 (86.36%) and administering (n=12 (27.27%)). Most of the systematic reviews demonstrated improvement in the health care process (30/44 - 68.2%). The main positive results were related to improvement of the quality of prescription by the physicians (14/30 - 46.6%) and reduction of errors in prescribing (5/30 - 16.6%). However, the quality of the studies was poor, according to the score used.

Conclusion

CDSSs represent a promising technology to optimize the medication-use process, especially related to improvement in the quality of prescriptions and reduction of prescribing errors, although higher quality studies are needed to establish the predictors of success in these systems.

Effects of Computerized Decision Support Systems on Management of Atrial Fibrillation: A Scoping Review

BACKGROUND

Potential role of computerized decision support system on management of atrial fibrillation is not well understood.

OBJECTIVES

To systematically review studies that evaluate the effects of computerized decision support systems and decision aids on aspects pertaining to atrial fibrillation.

DATA SOURCES

We searched Medline, Scopus and Cochrane database. Last date of search was 2016, January 10.

SELECTION CRITERIA

Computerized decision support systems that help manage atrial fibrillation and decision aids that provide useful knowledge for patients with atrial fibrillation and help them to self-care.

DATA COLLECTION AND ANALYSIS

Two reviewers extracted data and summarized findings. Due to heterogeneity, meta-analysis was not feasible; mean differences of outcomes and confidence intervals for a difference between two Means were reported.

RESULTS

Seven eligible studies were included in the final review. There was one observational study without controls, three observational studies with controls, one Non-Randomized Controlled Trial and two Randomized Controlled Trials. The interventions were three decision aids that were used by patients and four computerized decision support systems. Main outcomes of studies were: stroke events and major bleeding (one article), Changing doctor-nurse behavior (three articles), Time in therapeutic International Normalized Ratio range (one article), decision conflict scale (two articles), patient knowledge and anxiety about stroke and bleeding (two articles).

CONCLUSIONS

A computerized decision support system may decrease decision conflict and increase knowledge of patients with atrial fibrillation (AF) about risks of AF and AF treatments. Effect of computerized decision support system on outcomes such as changing doctor-nurse behavior, anxiety about stroke and bleeding and stroke events could not be shown.We need more studies to evaluate the role of computerized decision support system in patients with atrial fibrillation.

Medication errors among nurses in teaching hospitals in the west of Iran: what we need to know about prevalence, types, and barriers to reporting

OBJECTIVES

This study aimed to examine the prevalence and types of medication errors (MEs), as well as barriers to reporting MEs, among nurses working in 7 teaching hospitals affiliated with Kermanshah University of Medical Sciences in 2016.

METHODS

A convenience sampling method was used to select the study participants (n=500 nurses). A self-constructed questionnaire was employed to collect information on participants' socio-demographic characteristics (10 items), their perceptions about the main causes of MEs (31 items), and barriers to reporting MEs to nurse managers (11 items). Data were collected from September 1 to November 30, 2016. Negative binomial regression was used to identify the main predictors of the frequency of MEs among nurses.

RESULTS

The prevalence of MEs was 17.0% (95% confidence interval, 13.7 to 20.3%). The most common types of MEs were administering medications at the wrong time (24.0%), dosage errors (16.8%), and administering medications to the wrong patient (13.8%). A heavy workload and the type of shift work were considered to be the main causes of MEs by nursing staff. Our findings showed that 45.0% of nurses did not report MEs. A heavy workload due to a high number of patients was the most important reason for not reporting MEs (mean score, 3.57±1.03) among nurses. Being male, having a second unrelated job, and fixed shift work significantly increased MEs among nurses (p=0.001).

CONCLUSIONS

Our study documented a high prevalence of MEs among nurses in the west of Iran. A heavy workload was considered to be the most important barrier to reporting MEs among nurses. Thus, appropriate strategies (e.g., reducing the nursing staff workload) should be developed to address MEs and improve patient safety in hospital settings in Iran.

Precision diagnosis: a view of the clinical decision support systems (CDSS) landscape through the lens of critical care

Improving diagnosis and treatment depends on clinical monitoring and computing. Clinical decision support systems (CDSS) have been in existence for over 50 years. While the literature points to positive impacts on quality and patient safety, outcomes, and the avoidance of medical errors, technical and regulatory challenges continue to retard their rate of integration into clinical care processes and thus delay the refinement of diagnoses towards personalized care. We conducted a systematic review of pertinent articles in the MEDLINE, US Department of Health and Human Services, Agency for Health Research and Quality, and US Food and Drug Administration databases, using a Boolean approach to combine terms germane to the discussion (clinical decision support, tools, systems, critical care, trauma, outcome, cost savings, NSQIP, APACHE, SOFA, ICU, and diagnostics). References were selected on the basis of both temporal and thematic relevance, and subsequently aggregated around four distinct themes: the uses of CDSS in the critical and surgical care settings, clinical insertion challenges, utilization leading to cost-savings, and regulatory concerns. Precision diagnosis is the accurate and timely explanation of each patient's health problem and further requires communication of that explanation to patients and surrogate decision-makers. Both accuracy and timeliness are essential to critical care, yet computed decision support systems (CDSS) are scarce. The limitation arises from the technical complexity associated with integrating and filtering large data sets from diverse sources. Provider mistrust and resistance coupled with the absence of clear guidance from regulatory bodies further retard acceptance of CDSS. While challenges to develop and deploy CDSS are substantial, the clinical, quality, and economic impacts warrant the effort, especially in disciplines requiring complex decision-making, such as critical and surgical care. Improving diagnosis in health care requires accumulation, validation and transformation of data into actionable information. The aggregate of those processes-CDSS-is currently primitive. Despite technical and regulatory challenges, the apparent clinical and economic utilities of CDSS must lead to greater engagement. These tools play the key role in realizing the vision of a more 'personalized medicine', one characterized by individualized precision diagnosis rather than population-based risk-stratification.

Improving specialist drug prescribing in primary care using task and error analysis: an observational study

BACKGROUND

Electronic prescribing has benefited from computerised clinical decision support systems (CDSSs); however, no published studies have evaluated the potential for a CDSS to support GPs in prescribing specialist drugs.

AIM

To identify potential weaknesses and errors in the existing process of prescribing specialist drugs that could be addressed in the development of a CDSS.

DESIGN AND SETTING

Semi-structured interviews with key informants followed by an observational study involving GPs in the UK.

METHOD

Twelve key informants were interviewed to investigate the use of CDSSs in the UK. Nine GPs were observed while performing case scenarios depicting requests from hospitals or patients to prescribe a specialist drug. Activity diagrams, hierarchical task analysis, and systematic human error reduction and prediction approach analyses were performed.

RESULTS

The current process of prescribing specialist drugs by GPs is prone to error. Errors of omission due to lack of information were the most common errors, which could potentially result in a GP prescribing a specialist drug that should only be prescribed in hospitals, or prescribing a specialist drug without reference to a shared care protocol. Half of all possible errors in the prescribing process had a high probability of occurrence.

CONCLUSION

A CDSS supporting GPs during the process of prescribing specialist drugs is needed. This could, first, support the decision making of whether or not to undertake prescribing, and, second, provide drug-specific parameters linked to shared care protocols, which could reduce the errors identified and increase patient safety.

Information Technology-Based Interventions to Improve Drug-Drug Interaction Outcomes: A Systematic Review on Features and Effects

The purpose of this systematic review was to identify features and effects of information technology (IT)-based interventions on outcomes related to drug-drug interactions (DDI outcomes). A literature search was conducted in Medline, EMBASE, and the Cochrane Library for published English-language studies. Studies were included if a main outcome was related to DDIs, the intervention involved an IT-based system, and the study design was experimental or observational with controls. Study characteristics, including features and effects of IT-based interventions, were extracted. Nineteen studies comprising five randomized controlled trials (RCT), five non-randomized controlled trials (NRCT) and nine observational studies with controls (OWC) were included. Sixty-four percent of prescriber-directed interventions, and all non-prescriber interventions, were effective. Each of the following characteristics corresponded to groups of studies of which a majority were effective: automatic provision of recommendations within the providers' workflow, intervention at the time of decision-making, integration into other systems, and requiring the reason for not following the recommendations. Only two studies measured clinical outcomes: an RCT that showed no significant improvement and an OWC that showed improvement, but did not statistically assess the effect. Most studies that measured surrogate outcomes (e.g. potential DDIs) and other outcomes (e.g. adherence to alerts) showed improvements. IT-based interventions improve surrogate clinical outcomes and adherence to DDI alerts. However, there is lack of robust evidence about their effectiveness on clinical outcomes. It is recommended that researchers consider the identified features of effective interventions in the design of interventions and evaluate the effectiveness on DDI outcomes, particularly clinical outcomes.

A Survey of the Literature on Unintended Consequences Associated with Health Information Technology: 2014-2015

OBJECTIVE

To summarize recent research on unintended consequences associated with implementation and use of health information technology (health IT). Included in the review are original empirical investigations published in English between 2014 and 2015 that reported unintended effects introduced by adoption of digital interventions. Our analysis focuses on the trends of this steam of research, areas in which unintended consequences have continued to be reported, and common themes that emerge from the findings of these studies.

METHOD

Most of the papers reviewed were retrieved by searching three literature databases: MEDLINE, Embase, and CINAHL. Two rounds of searches were performed: the first round used more restrictive search terms specific to unintended consequences; the second round lifted the restrictions to include more generic health IT evaluation studies. Each paper was independently screened by at least two authors; differences were resolved through consensus development.

RESULTS

The literature search identified 1,538 papers that were potentially relevant; 34 were deemed meeting our inclusion criteria after screening. Studies described in these 34 papers took place in a wide variety of care areas from emergency departments to ophthalmology clinics. Some papers reflected several previously unreported unintended consequences, such as staff attrition and patients' withholding of information due to privacy and security concerns. A majority of these studies (71%) were quantitative investigations based on analysis of objectively recorded data. Several of them employed longitudinal or time series designs to distinguish between unintended consequences that had only transient impact, versus those that had persisting impact. Most of these unintended consequences resulted in adverse outcomes, even though instances of beneficial impact were also noted. While care areas covered were heterogeneous, over half of the studies were conducted at academic medical centers or teaching hospitals.

CONCLUSION

Recent studies published in the past two years represent significant advancement of unintended consequences research by seeking to include more types of health IT applications and to quantify the impact using objectively recorded data and longitudinal or time series designs. However, more mixed-methods studies are needed to develop deeper insights into the observed unintended adverse outcomes, including their root causes and remedies. We also encourage future research to go beyond the paradigm of simply describing unintended consequences, and to develop and test solutions that can prevent or minimize their impact.

Quality and Safety in Health Care, Part IX: Computerized Provider Order Entry

One of the most important technologic advances to reduce medication errors is computerized provider order entry linked with clinical decision support. These systems also have the potential to improve the adherence of clinicians to best practices, decrease the turnaround time for laboratory tests and radiology examinations, speed transmission of prescriptions to the pharmacy, decrease medication costs, and increase the frequency of vaccinations.

Improving the effectiveness of drug safety alerts to increase adherence to the guideline for gastrointestinal prophylaxis

OBJECTIVE

Gastrointestinal bleedings are the most frequently occurring reason for medication-related hospital admissions, which are potentially preventable. We implemented a clinical decision support system that recommends to prescribe gastrointestinal prophylaxis in patients with an increased risk according to the Dutch guideline. Our primary objective was to determine whether the implementation resulted in improved compliance with this guideline for gastrointestinal prophylaxis. A secondary objective was to determine whether implementation resulted in a reduction of the number of drug safety alerts.

MATERIALS AND METHODS

This intervention study was performed at the Spaarne Gasthuis, a teaching hospital, using Epic as hospital information system. We selected prescriptions with an indication for gastrointestinal prophylaxis according to the guideline, in the three months before and after implementation of the clinical decision support in November 2014. We analyzed whether gastrointestinal prophylaxis was prescribed more frequently after implementation using the Pearson's Chi-square test and the change in the number of drug safety alerts.

RESULTS

Before implementation in 84.0% of the included 2064 prescriptions gastrointestinal prophylaxis was co-prescribed. After implementation this percentage increased to 94.5% of the 2269 prescriptions (p<0.001). The number of drug safety alerts decreased by 78.2% from 980 to 217 alerts.

CONCLUSION

The introduction of a clinical decision support system for gastrointestinal prophylaxis improved adherence to the Dutch guideline. This was most likely due to a reduction in the number of irrelevant drug safety alerts.

General practitioners' attitudes towards electronic prescribing and the use of the national prescription centre

RATIONALE, AIMS AND OBJECTIVES

The purpose of this study was to assess general practitioners' (GP) experience of an electronic prescription (e-prescription) system and the use of a national prescription centre.

METHODS

A web-based survey with 29 structured questions and 8 open-ended questions was used. The technology acceptance model was used to explain first users' use of e-prescribing technology. GPs (n = 269) in two different primary health care organizations, which implemented the e-prescribing module as the first of its kind in Finland.

RESULTS

Of the 269 GPs, 69 (26%) completed the survey. E-prescribing had influenced GP work and their management of patients' medication positively. Electronic health records and e-prescribing increased GPs' flexibility at work. There was a notable improvement in the management of prescription of narcotics with the introduction of e-prescribing. Issues with the e-prescribing system software delayed data processing and produced negative experience as users were forced to browse through too many pages to write a prescription.

CONCLUSIONS

E-prescribing has improved GP's patient medication management, meeting Finland's national objectives. E-prescriptions not only reinforce the process of writing, transmitting and checking the authenticity of prescriptions but also make it mandatory for all key prescription information to be present for transmission. The perceived usefulness of e-prescribing by GPs could lead to more widespread adoption of the technology. Making e-prescribing more user friendly requires reforming work processes, which in turn would enhance the effectiveness of GP work.

Effects of health information technology on patient outcomes: a systematic review

OBJECTIVE

To systematically review studies assessing the effects of health information technology (health IT) on patient safety outcomes.

MATERIALS AND METHODS

The authors employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement methods. MEDLINE, Cumulative Index to Nursing Allied Health (CINAHL), EMBASE, and Cochrane Library databases, from 2001 to June 2012, were searched. Descriptive and comparative studies were included that involved use of health IT in a clinical setting and measured effects on patient safety outcomes.

RESULTS

Data on setting, subjects, information technology implemented, and type of patient safety outcomes were all abstracted. The quality of the studies was evaluated by 2 independent reviewers (scored from 0 to 10). A total of 69 studies met inclusion criteria. Quality scores ranged from 1 to 9. There were 25 (36%) studies that found benefit of health IT on direct patient safety outcomes for the primary outcome measured, 43 (62%) studies that either had non-significant or mixed findings, and 1 (1%) study for which health IT had a detrimental effect. Neither the quality of the studies nor the rate of randomized control trials performed changed over time. Most studies that demonstrated a positive benefit of health IT on direct patient safety outcomes were inpatient, single-center, and either cohort or observational trials studying clinical decision support or computerized provider order entry.

DISCUSSION AND CONCLUSION

Many areas of health IT application remain understudied and the majority of studies have non-significant or mixed findings. Our study suggests that larger, higher quality studies need to be conducted, particularly in the long-term care and ambulatory care settings.

Integrating data from an online diabetes prevention program into an electronic health record and clinical workflow, a design phase usability study

Background

Health information is increasingly being digitally stored and exchanged. The public is regularly collecting and storing health-related data on their own electronic devices and in the cloud. Diabetes prevention is an increasingly important preventive health measure, and diet and exercise are key components of this. Patients are turning to online programs to help them lose weight. Despite primary care physicians being important in patients’ weight loss success, there is no exchange of information between the primary care provider (PCP) and these online weight loss programs. There is an emerging opportunity to integrate this data directly into the electronic health record (EHR), but little is known about what information to share or how to share it most effectively. This study aims to characterize the preferences of providers concerning the integration of externally generated lifestyle modification data into a primary care EHR workflow.

Methods

We performed a qualitative study using two rounds of semi-structured interviews with primary care providers. We used an iterative design process involving primary care providers, health information technology software developers and health services researchers to develop the interface.

Results

Using grounded-theory thematic analysis 4 themes emerged from the interviews: 1) barriers to establishing healthy lifestyles, 2) features of a lifestyle modification program, 3) reporting of outcomes to the primary care provider, and 4) integration with primary care. These themes guided the rapid-cycle agile design process of an interface of data from an online diabetes prevention program into the primary care EHR workflow.

Conclusions

The integration of external health-related data into the EHR must be embedded into the provider workflow in order to be useful to the provider and beneficial for the patient. Accomplishing this requires evaluation of that clinical workflow during software design. The development of this novel interface used rapid cycle iterative design, early involvement by providers, and usability testing methodology. This provides a framework for how to integrate external data into provider workflow in efficient and effective ways. There is now the potential to realize the importance of having this data available in the clinical setting for patient engagement and health outcomes.

Automatic Errors: A Case Series on the Errors Inherent in Electronic Prescribing

The adoption of electronic prescribing is on the rise, as it reduces medication errors compared to handwritten orders. The inadvertent dispensing of discontinued medications is a type of medication error that is less well described, but one that can lead to adverse events. Software for electronic prescriptions transmits orders for refills or new prescriptions, but not discontinuations, to the pharmacy. Medications that have been stopped are displayed only at the prescribing facility's electronic medical record (EMR). This report describes five cases in which the pharmacy dispensed electronically discontinued medications, two of which contributed to adverse outcomes.

Optimizing Prescribing Practices of High-Cost Medications With Computerized Alerts in the Inpatient Setting

Current literature does not consistently show a benefit to providing medication cost information to inpatient health care prescribers. This study assessed the effectiveness of computerized provider order entry alerts that displayed the cost of a high-cost medication alongside a lower cost alternative, targeting 3 high-cost medications. Medication utilization during the one year prior to the intervention was compared to usage in the year after implementation. Reduced utilization of high-cost medications was found when comparing pre to post. Ipratropium hydrofluoroalkane and fluticasone hydrofluoroalkane metered dose inhaler utilization were reduced by 29% and 62%, respectively ( P < .001 for both). A 71% decrease in intravenous chlorothiazide was observed ( P < .001); however, its effect was unable to be separated from implementation of a heart failure diuretic protocol during the study period. Overall, these results suggest computerized medication cost alerts that recommend a lower cost therapeutic alternative are effective in changing prescribing practices.

Texas hospitals with higher health information technology expenditures have higher revenue: A longitudinal data analysis using a generalized estimating equation model

BACKGROUND

The benefits of health information technology (IT) adoption have been reported in the literature, but whether health IT investment increases revenue generation remains an important research question.

METHODS

Texas hospital data obtained from the American Hospital Association (AHA) for 2007-2010 were used to investigate the association of health IT expenses and hospital revenue. The generalized estimation equation (GEE) with an independent error component was used to model the data controlling for cluster error within hospitals.

RESULTS

We found that health IT expenses were significantly and positively associated with hospital revenue. Our model predicted that a 100% increase in health IT expenditure would result in an 8% increase in total revenue. The effect of health IT was more associated with gross outpatient revenue than gross inpatient revenue.

CONCLUSION

Increased health IT expenses were associated with greater hospital revenue. Future research needs to confirm our findings with a national sample of hospitals.

User perspectives on an electronic decision-support tool performing comprehensive medication reviews - a focus group study with physicians and nurses

Background

Although a number of studies have evaluated the effectiveness of computerized decision-support systems (CDSS), there is lack of data on user perspectives, barriers, and facilitators to the implementation of CDSSs in real-life surroundings. The aim of this study was to assess individually perceived barriers, facilitators and ideas influencing the CDSS implementation and usability.

Methods

In this qualitative study, five focus groups were carried out with physicians and nurses separately at the Tampere City Health Center, Finland. The participants were end-users of the EBMeDS computerized decision support system. An explorative data content analysis was applied.

Results

The most important barrier to benefitting from CDSS was the lack of structured and coded diagnosis documentation and outdated medication information in the electronic health records. This led to false alerts and distrust towards the system. Among the major facilitators found were e.g. the beneficial reminders that helped practitioners take into account matters otherwise ignored; automatic glomerular filtration rate (GFR) calculations; medication safety checks; and the summaries in the single medication review at a glance.

Conclusions

Physicians’ and nurses’ are keen to use the CDSS and it may enhance their inter-professional collaboration. Documenting patient information in a structured, uniform and easy manner is the essential starting point for electronic decision support. When implementing CDSS, managers need to focus on common practices in documenting structured data in their organizations in order to prevent undermining trust in the system.

The impact of electronic prescribing systems on pharmacists' time and workflow: protocol for a time-and-motion study in English NHS hospitals

INTRODUCTION

Electronic prescribing (ePrescribing) systems are rapidly being introduced into National Health Systems (NHS) hospitals in England following their widespread earlier adoption into primary care settings. Such systems require substantial changes in the way pharmacists organise their work and perform their roles. There is however as yet limited evidence on the extent to which these changes may support or compromise efficient and safe working practices by pharmacists. Identifying and quantifying these changes, and their effects, is central to informing system and work practice design, as well as informing training and implementation processes. This protocol describes a study to measure the impact of ePrescribing systems on pharmacists' time and workflow.

METHODS AND ANALYSIS

A direct observational controlled pre-post implementation time-and-motion study will be conducted in six wards at one NHS Trust over two observational periods. Pharmacists will be shadowed and details of all work tasks performed will be collected and time-stamped. Task distribution, frequency and duration will be measured and changes in these measures preimplementation and postimplementation, and between control and intervention wards will be measured. Interviews with pharmacists will investigate their perceptions of the impact of the ePrescribing systems on their work and will be conducted in both periods. The extent to which pharmacists' expectations of the impact of the ePrescribing systems on their work with postimplementation reports will be qualitatively explored, as will any differences between perceptions and results from the time-and-motion analysis.

ETHICS AND DISSEMINATION

Institutional research ethics approval has been obtained from The University of Edinburgh. Local approval from the participating NHS Trust and informed consent from participating pharmacists have been obtained, while also complying with local governance requirements. The results of the study will be presented at conferences, published in peer-reviewed journals, and shared with members of our Patient and Public Involvement Group, to facilitate wider dissemination.

Improving medication safety in primary care. A review and consensus procedure by the LINNEAUS collaboration on patient safety in primary care

BACKGROUND

Drug treatment is an important clinical process in primary care that is associated with risk of error and adverse events.

OBJECTIVE

To review currently available research evidence on the topic and to develop a framework, which can help to guide improvement of medication safety.

METHODS

Systematic reviews were performed on adverse drug events (ADE), their preventability, and on available tools and methods to improve medication safety with a particular focus on information technology. Consensus methods were used to develop a framework to guide the improvement of medication safety based on the findings of our literature review.

RESULTS

The median prevalence rate of ADEs in primary care patients was 12.8%. Only a median of 16.5% of ADEs were preventable and thus could be classified as medication errors. Our review of information technology interventions found that only about half of the studies found a reduction of medication errors. In both reviews, the wide range between studies emphasizes the necessity of a validated medication error classification system. Another important aspect of medication safety appears to be a general lack of safety culture in primary care, which led us to the development of the Salzburg medication safety framework (SaMSaF), based on the MaPSaF tool to improve patient safety. The tool proved to be feasible and useful in a pilot study with several GP practices.

CONCLUSION

A number of tools and interventions to investigate and enhance medication safety have been identified. Further research is necessary to implement and evaluate current concepts.

A Framework for Usable and Effective Clinical Decision Support: Experience from the iCPR Randomized Clinical Trial

INTRODUCTION

The promise of Clinical Decision Support (CDS) has always been to transform patient care and improve patient outcomes through the delivery of timely and appropriate recommendations that are patient specific and, more often than not, are appropriately actionable. However, the users of CDS-providers-are frequently bombarded with inappropriate and inapplicable CDS that often are not informational, not integrated into the workflow, not patient specific, and that may present out of date and irrelevant recommendations.

METHODS

The integrated clinical prediction rule (iCPR) project was a randomized clinical trial (RCT) conducted to determine if a novel form of CDS, i.e., clinical prediction rules (CPRs), could be efficiently integrated into workflow and result in changes in outcomes (e.g., antibiotic ordering) when embedded within a commercial electronic health record (EHR). We use the lessons learned from the iCPR project to illustrate a framework for constructing usable, useful, and effective actionable CDS while employing off-the-shelf functionality in a production system. Innovations that make up the framework combine the following: (1) active and actionable decision support, (2) multiple rounds of usability testing with iterative development for user acceptance, (3) numerous context sensitive triggers, (4) dedicated training and support for users of the CDS tool for user adoption, and (5) support from clinical and administrative leadership. We define "context sensitive triggers" as being workflow events (i.e., context) that result in a CDS intervention.

DISCUSSION

Success of the framework can be measured by CDS adoption (i.e., intervention is being used), acceptance (compliance with recommendations), and clinical outcomes (where appropriate). This framework may have broader implications for the deployment of Health Information Technology (HIT).

RESULTS AND CONCLUSION

iCPR was well adopted(57.4% of users) and accepted (42.7% of users). Usability testing identified and fixed many issues before the iCPR RCT. The level of leadership support and clinical guidance for iCPR was key in establishing a culture of acceptance for both the tool and its recommendations contributing to adoption and acceptance. The dedicated training and support lead to the majority of the residents reporting a high level of comfort with both iCPR tools strep pharyngitis (64.4 percent) and pneumonia (62.7 percent) as well as a high likelihood of using the tools in the future. A surprising framework addition resulted from usability testing: context sensitive triggers.

Use of electronic health records and clinical decision support systems for antimicrobial stewardship

Electronic health records (EHRs) and clinical decision support systems (CDSSs) have the potential to enhance antimicrobial stewardship. Numerous EHRs and CDSSs are available and have the potential to enable all clinicians and antimicrobial stewardship programs (ASPs) to more efficiently review pharmacy, microbiology, and clinical data. Literature evaluating the impact of EHRs and CDSSs on patient outcomes is lacking, although EHRs with integrated CDSSs have demonstrated improvements in clinical and economic outcomes. Both technologies can be used to enhance existing ASPs and their implementation of core ASP strategies. Resolution of administrative, legal, and technical issues will enhance the acceptance and impact of these systems. EHR systems will increase in value when manufacturers include integrated ASP tools and CDSSs that do not require extensive commitment of information technology resources. Further research is needed to determine the true impact of current systems on ASP and the ultimate goal of improved patient outcomes through optimized antimicrobial use.