Electronic prescribing improves medication safety in community-based office practices

A Dedicated Outpatient Pharmacy Improves Access to Discharge Medications in a Pediatric Emergency Department: A Quality Improvement Study

STUDY OBJECTIVE

Following discharge from a pediatric emergency department (ED) or urgent care, many families do not pick up their prescribed medications. The aim of this quality improvement study was to increase the percentage of patients discharged home with medications in-hand from 6% to 30% within 6 months.

METHODS

Due to the planned construction of a new ED, urgent care, and dedicated pharmacy, a multidisciplinary team was formed to increase access to discharge medications. We performed a pilot study in the urgent care to improve the discharge prescription process and expanded its scope to the ED. We evaluated the effect of our interventions on the percentage of patients discharged with medications in-hand through statistical process control charts. Process measures included the percentage of prescriptions electronically prescribed and directed to an on-site pharmacy.

RESULTS

Between June 21, 2021 and March 27, 2022, 7,678 patients were discharged with at least 1 medication in-hand. The percentage of patients discharged with medications in-hand increased from 6.2% to 60.6%. The percentage of prescriptions e-prescribed and directed to an on-site pharmacy increased to 94.6% and 65.6% respectively.

CONCLUSIONS

In this study, the availability of a 24-hour on-site pharmacy appears to be the most impactful intervention increasing access to discharge medications for families. Other interventions, such as a pilot study in the urgent care and implementing default electronic prescribing, may have potentiated the effect of the new pharmacy.

Stakeholder perspectives on electronic prescribing in primary care: A scoping review

BACKGROUND

Electronic prescribing (e-prescribing) provides a convenient, efficient, paperless mechanism for the legal transfer of prescriptions between service users, prescribers, and dispensers. There have been advances in e-prescribing processes and increased uptake of e-prescribing globally, in recent years.

OBJECTIVE

To explore stakeholder perspectives on e-prescribing in primary care settings.

METHODS

A scoping review was conducted by systematically searching Medline, EMBASE, Scopus, and International Pharmaceutical Abstracts databases, using the key concepts "primary care", "e-prescribing", and "perspectives". Publications were selected by screening for eligibility against inclusion and exclusion criteria, whereby any publication written in English exploring e-prescribing in primary care settings from the perspective(s) of at least one type of stakeholder was eligible for inclusion. Following a systematic screening process, relevant data were extracted, collated, and synthesized.

RESULTS

Two thousand publications were identified and systematically screened, rendering 44 publications (e.g., primary research articles, abstracts) eligible for inclusion in this review. Most publications reported on studies conducted in the USA, the UK, and Europe and explored the views of pharmacists, pharmacy technicians, and pharmacy staff. Barriers to e-prescribing included system design and technical issues, lack of adequate training and communication issues between stakeholders. Enablers for e-prescribing included time savings, convenience, and increased legibility of prescriptions.

CONCLUSIONS

This review highlights many benefits of e-prescribing such as time efficiency, convenience, increased legibility, and less mishandling. Despite this, key barriers to e-prescribing within primary care settings were also recognized, including system design, technical issues, and lack of adequate training. As such, forcing functions, prescription tracking technologies, and better training have been identified as potential ways to address these barriers. While some negative experiences were reported, stakeholders were generally satisfied and had positive experiences with e-prescribing.

Information Technology and Value-Based Healthcare Systems: A Strategy and Framework

Value-based healthcare offers a pathway for enhancing patient satisfaction and population health and reducing healthcare costs. In addition, it provides a means to enhance physicians' perception and experience in healthcare delivery. The foundation of the said system is the notion that community wellness can only be benefited when the health effects of many people are also addressed. The provision of healthcare services incurs costs. However, a value-based model addresses this issue by establishing teams that cater to individuals with similar needs. This approach fosters expertise and efficiency, ultimately leading to cost savings without rationing. Furthermore, entrusting decision-making authority regarding healthcare delivery to the clinical team enhances doctors' professionalism and the integrity of clinician-patient interactions, resulting in more effective and relevant treatments. Currently, various information technology (IT)-based solutions are the main focus for accomplishing the desired value-based healthcare system. The establishment of a coordinated framework that can help organizations create value-based healthcare systems is covered in the current article. Additionally listed are many IT-based solutions used to create a value-based healthcare system.

Experiences and Outcomes of Using e-Prescribing for Opioids: Rapid Scoping Review

BACKGROUND

e-Prescribing is designed to assist in facilitating safe and appropriate prescriptions for patients. Currently, it is unknown to what extent e-prescribing for opioids influences experiences and outcomes. To address this gap, a rapid scoping review was conducted.

OBJECTIVE

This rapid scoping review aims to (1) explore how e-prescribing has been used clinically; (2) examine the effects of e-prescribing on clinical outcomes, the patient or clinician experience, service delivery, and policy; and (3) identify current gaps in the present literature to inform future studies and recommendations.

METHODS

A rapid scoping review was conducted following the guidance of the JBI 2020 scoping review methodology and the World Health Organization guide to rapid reviews. A comprehensive literature search was completed by an expert librarian from inception until November 16, 2022. Three databases were electronically searched: MEDLINE (Ovid), Embase (Ovid), and Scopus (Elsevier). The search criteria were as follows: (1) e-prescribing programs targeted to the use or misuse of opioids, including those that were complemented or accompanied by clinically focused initiatives, and (2) a primary research study of experimental, quasi-experimental, observational, qualitative, or mixed methods design. An additional criterion of an ambulatory component of e-prescribing (eg, e-prescribing occurred upon discharge from acute care) was added at the full-text stage. No language limitations or filters were applied. All articles were double screened by trained reviewers. Gray literature was manually searched by a single reviewer. Data were synthesized using a descriptive approach.

RESULTS

Upon completing screening, 34 articles met the inclusion criteria: 32 (94%) peer-reviewed studies and 2 (6%) gray literature documents (1 thesis study and 1 report). All 33 studies had a quantitative component, with most highlighting e-prescribing from acute care settings to community settings (n=12, 36%). Only 1 (3%) of the 34 articles provided evidence on e-prescribing in a primary care setting. Minimal prescriber, pharmacist, and clinical population characteristics were reported. The main outcomes identified were related to opioid prescribing rates, alerts (eg, adverse drug events and drug-drug interactions), the quantity and duration of opioid prescriptions, the adoption of e-prescribing technology, attitudes toward e-prescribing, and potential challenges with the implementation of e-prescribing into clinical practice. e-Prescribing, including key features such as alerts and dose order sets, may reduce prescribing errors.

CONCLUSIONS

This rapid scoping review highlights initial promising results with e-prescribing and opioid therapy management. It is important that future work explores the experience of prescribers, pharmacists, and patients using e-prescribing for opioid therapy management with an emphasis on prescribers in the community and primary care. Developing a common set of quality indicators for e-prescribing of opioids will help build a stronger evidence base. Understanding implementation considerations will be of importance as the technology is integrated into clinical practice and health systems.

E-prescribing and medication safety in community settings: A rapid scoping review

Background

Medication prescribing is essential for the treatment, curing, maintenance, and/or prevention of an illness and disease, however, medication errors remain common. Common errors including prescribing and administration, pose significant risk to patients. Electronic prescribing (e-prescribing) is one intervention used to enhance the safety and quality of prescribing by decreasing medication errors and reducing harm. E-prescribing in community-based settings has not been extensively examined.

Objective

To map and characterize the current evidence on e-prescribing and medication safety in community pharmacy settings.

Methods

We conducted a rapid scoping review of quantitative, qualitative, and mixed methods studies reporting on e-prescribing and medication safety. MEDLINE All (OVID), Embase (Elsevier), CINAHL Full Text (EBSCOHost), and Scopus (Elsevier) databases were searched December 2022 using keywords and MeSH terms related to e-prescribing, medication safety, efficiency, and uptake. Articles were imported to Covidence and screened by two reviewers. Data were extracted by a single reviewer and verified by a second reviewer using a standardized data extraction form. Findings are reported in accordance with JBI Manual for Evidence Synthesis following thematic analysis to narratively describe results.

Results

Thirty-five studies were included in this review. Most studies were quantitative (n = 22), non-experimental study designs (n = 16) and were conducted in the United States (n = 18). Half of included studies reported physicians as the prescriber (n = 18), while the remaining reported a mix of nurse practitioners, pharmacists, and physician assistants (n = 6). Studies reported on types of errors, including prescription errors (n = 20), medication safety errors (n = 9), dispensing errors (n = 2), and administration errors (n = 1). Few studies examined patient health outcomes, such as adverse drug events (n = 5).

Conclusions

Findings indicate that most research is descriptive in nature and focused primarily on rates of prescription errors. Further research, such as experimental, implementation, and evaluation mixed-methods research, is needed to investigate the effects of e-prescribing on reducing error rates and improving patient and health system outcomes.

Automated search methods for identifying wrong patient order entry-a scoping review

Objective

To investigate: (1) what automated search methods are used to identify wrong-patient order entry (WPOE), (2) what data are being captured and how they are being used, (3) the causes of WPOE, and (4) how providers identify their own errors.

Materials and Methods

A systematic scoping review of the empirical literature was performed using the databases CINAHL, Embase, and MEDLINE, covering the period from database inception until 2021. Search terms were related to the use of automated searches for WPOE when using an electronic prescribing system. Data were extracted and thematic analysis was performed to identify patterns or themes within the data.

Results

Fifteen papers were included in the review. Several automated search methods were identified, with the retract-and-reorder (RAR) method and the Void Alert Tool (VAT) the most prevalent. Included studies used automated search methods to identify background error rates in isolation, or in the context of an intervention. Risk factors for WPOE were identified, with technological factors and interruptions deemed the biggest risks. Minimal data on how providers identify their own errors were identified.

Discussion

RAR is the most widely used method to identify WPOE, with a good positive predictive value (PPV) of 76.2%. However, it will not currently identify other error types. The VAT is nonspecific for WPOE, with a mean PPV of 78%-93.1%, but the voiding reason accuracy varies considerably.

Conclusion

Automated search methods are powerful tools to identify WPOE that would otherwise go unnoticed. Further research is required around self-identification of errors.

How Safe are Outpatient Electronic Health Records? An Evaluation of Medication-Related Decision Support using the Ambulatory Electronic Health Record Evaluation Tool

BACKGROUND

The purpose of the Ambulatory Electronic Health Record (EHR) Evaluation Tool is to provide outpatient clinics with an assessment that they can use to measure the ability of the EHR system to detect and prevent common prescriber errors. The tool consists of a medication safety test and a medication reconciliation module.

OBJECTIVES

The goal of this study was to perform a broad evaluation of outpatient medication-related decision support using the Ambulatory EHR Evaluation Tool.

METHODS

We performed a cross-sectional study with 10 outpatient clinics using the Ambulatory EHR Evaluation Tool. For the medication safety test, clinics were provided test patients and associated medication test orders to enter in their EHR, where they recorded any advice or information they received. Once finished, clinics received an overall percentage score of unsafe orders detected and individual order category scores. For the medication reconciliation module, clinics were asked to electronically reconcile two medication lists, where modifications were made by adding and removing medications and changing the dosage of select medications.

RESULTS

For the medication safety test, the mean overall score was 57%, with the highest score being 70%, and the lowest score being 40%. Clinics performed well in the drug allergy (100%), drug dose daily (85%), and inappropriate medication combinations (74%) order categories. Order categories with the lowest performance were drug laboratory (10%) and drug monitoring (3%). Most clinics (90%) scored a 0% in at least one order category. For the medication reconciliation module, only one clinic (10%) could reconcile medication lists electronically; however, there was no clinical decision support available that checked for drug interactions.

CONCLUSION

We evaluated a sample of ambulatory practices around their medication-related decision support and found that advanced capabilities within these systems have yet to be widely implemented. The tool was practical to use and identified substantial opportunities for improvement in outpatient medication safety.

Perceptions of Community Pharmacists toward the National E-Prescribing Service (Wasfaty) and Exploring the Benefits and Challenges of the Service: A Descriptive Study from Qassim Region, Saudi Arabia

BACKGROUND

Electronic prescribing systems (e-prescription) for medications have many benefits, including patient safety, increase in patient satisfaction, efficiency of pharmacy work, and quality of patient care. However, few studies have been conducted to evaluate the national e-prescription system "Wasfaty" service in Saudi Arabia, which was recently adopted.

OBJECTIVE

The aims of this study were to explore the benefits observed through the use of the system and most frequent challenges experienced by community pharmacists in the Qassim region of Saudi Arabia.

METHODS

This study was conducted using a descriptive survey on a web-based platform. The target population of the study included community pharmacists in the Qassim region of Saudi Arabia who worked in pharmacy chains utilizing the e-prescription service between September 2022 and November 2022. Descriptive statistics along with multiple ordinal regression were used for data analysis.

RESULTS

The study population consisted of 124 pharmacists, of which 62.9% (78/124) were males and 37.1% (46/124) were females. Most of the participants had a positive perception of the e-prescription system with regard to medication safety, with 68.6% (85/124) indicating that e-prescriptions reduce the risk of dispensing errors. However, 81.5% (101/124) did not agree that the e-prescription system resulted in a reduction in workload, and 70.2% (87/124) disagreed that the service increased patient satisfaction.

CONCLUSIONS

The results of this study indicated that the national e-prescription system has many benefits to healthcare employees and improves their work, particularly for patient safety, reducing medication errors, and improving the management of patient medications. The participants believe that there is a need to improve communication with prescribers, showing concern about the unavailability of some medications; thus, it is important for policymakers to encourage other pharmacy chains and suppliers to join the service to increase patient access to medications.

[Does recommending the dosing frequency in the electronic prescription improve its adequacy? Before and after study]

OBJECTIVE

To assess whether reporting the dosing frequency into the prescription module of the Institut Català de la Salut (ICS) primary care electronic clinical workstation improves the dosing frequency's adequacy of the prescriptions.

DESIGN

Before and after study with non-equivalent control of prescriptions without any change in the dosing frequency. The study periods includes from September 1st, 2019 to February 29th, 2020.

LOCATION

Primary care setting.

PARTICIPANTS

Prescriptions issued by ICS General Practitioner, during the study period of those medicines which indications have a single appropriate dosing frequency or mostly appropriate, are included.

INTERVENTION

Recommendation of the appropriate dosing frequency in the prescription module.

MAIN MEASUREMENTS

Adequacy defined as the coincidence between the prescribed dosing frequency and the appropriate dosing frequency.

RESULTS

After the intervention there was a 22.75% increase in prescriptions with adequate dosing frequency. The largest increase occurred in the medicines for the genitourinary system and sex hormones. In absolute terms, the group of anti infective for systemic use is the one that obtained more prescriptions with an adequate dosing frequency between the two periods.

CONCLUSIONS

The intervention increased the dosing frequency's adequacy leading to improvements in the safety and effectiveness of the treatments. It is evident that the design and implementation of improvements in electronic prescription systems contributes to increasing the quality of the prescription.

Screening for Medication Errors and Adverse Events Using Outlier Detection Screening Algorithms in an Inpatient Setting

OBJECTIVES

To evaluate the potential of a novel system using outlier detection screening algorithms and to identify medication related risks in an inpatient setting.

METHODS

In the first phase of the study, we evaluated the transferability of models refined at another medical center using a different electronic medical record system (EMR) on 3 years of historical data (2017-2019), extracted from the local EMR system. Following the retrospective analysis, the system's models were fine-tuned to the specific local practice patterns. In the second, prospective phase of the study, the system was fully integrated in the local EMR and after a short run-in period was activated live. All alerts generated by the system, in both phases, were analyzed by a clinical team of physicians and pharmacists for accuracy and clinical relevance.

RESULTS

In the retrospective phase of the study, 226,804 medical orders were analyzed, generating a total of 2731 alerts (1.2% of medical orders). Of the alerts analyzed, 69% were clinically relevant alerts and 31% were false alerts. In the prospective phase of the study, 399 alerts were generated by the system (1.6% of medical orders). The vast majority of the alerts (72%) were considered clinically relevant, and 41% of the alerts caused a change in prescriber behavior (i.e. cancel/modify the medical order).

CONCLUSION

In an inpatient setting of a 600 bed computerized decision support system (CDSS) -naïve medical center, the system generated accurate and clinically valid alerts with low alert burden enabling physicians to improve daily medical practice.

Systemic Barriers in Receiving Electronically Prescribed Glaucoma Medications

PRCIS

Over a third of electronically prescribed glaucoma medications were not picked up within 1 month of patient request. Feedback-driven protocols may help minimize treatment interruptions attributed to electronic prescribing.

PURPOSE

Glaucoma treatment relies on long-term medication compliance and many socioeconomic factors impact the ability of patients to receive their medications. This study aims to quantify treatment interruptions attributable to electronically prescribed medications and propose interventions to minimize this barrier.

METHODS

This is a cross-sectional study of the electronic prescribing patterns at a tertiary care hospital serving a socioeconomically diverse patient population. Glaucoma medication refill requests received over a 6-week interval were reviewed and patient pharmacies were contacted 1 month after the request date to determine whether the medication was received by the patient. Patients who did not pick up the prescriptions were contacted and consented to participate in a survey to identify the barriers to acquiring the medications.

RESULTS

Refill requests of 198 glaucoma medications met the inclusion criteria and the most common classes were prostaglandin analogs (44%) and alpha-2-agonists (21%). Medications were not obtained within 1 month in 71 (35.9%) cases. Prior authorization requirement was significantly associated with patients not obtaining their medication (odds ratio, 0.07; 95% confidence interval, 0.03-0.45). Patient reported challenges to successful receipt electronically prescribed medications included insurance coverage (32.2%) and pharmacy availability (22.6%).

CONCLUSIONS

Approximately a third of electronically prescribed glaucoma medications were not received by patients within a month of refill request due to the need for prior authorization, insurance coverage, and pharmacy availability. A mechanism to alert providers and to address these barriers to medication access may minimize treatment interruption and disease progression.

Virtual healthcare services and digital health technologies deployed during coronavirus disease 2019 (COVID-19) pandemic in South Africa: a systematic review

Aims

To identify virtual healthcare services and digital health technologies deployed in South Africa during coronavirus disease 2019 (COVID-19) and the challenges associated with their use.

Methods

To determine the status of digital health utilization during COVID-19 in South Africa, the preferred reporting items for systematic reviews and meta-analyses model was used to perform a systematic and in-depth critical analysis of previously published studies in well-known and trusted online electronic databases using specific search keywords words that are relevant to this study. We selected published peer-reviewed articles available from the onset of COVID-19 to July 2021.

Results

Total of 24 articles were included into this study. This study revealed that South Africa adopted digital technologies such as SMS-based solutions, mobile health applications, telemedicine and telehealth, WhatsApp-based systems, artificial intelligence and chatbots and robotics to provide healthcare services during COVID-19 pandemic. These innovative technologies have been used for various purposes including screening infectious and non-infectious diseases, disease surveillance and monitoring, medication and treatment compliance, creating awareness and communication. The study also revealed that teleconsultation and e-prescription, telelaboratory and telepharmacy, teleeducation and teletraining, teledermatology, teleradiology, telecardiology, teleophthalmology, teleneurology, telerehabilitation, teleoncology and telepsychiatry are among virtual healthcare services delivered through digital health technologies during COVID-19 in South Africa. However, these smart digital health technologies face several impediments such as infrastructural and technological barriers, organization and financial barriers, policy and regulatory barriers as well as cultural barriers.

Conclusion

Although COVID-19 has invigorated the use of digital health technologies, there are still some shortcomings. The outbreak of pandemics like COVID-19 in the future is not inevitable. Therefore, we recommend increasing community networks in rural areas to bridge the digital divide and the modification of mHealth policy to advocate for the effective use of innovative technologies in healthcare and the development of sustainable strategies for resources mobilization through private-public partnerships as well as joining available international initiatives advocating for smart digital health.

Developing a Multifaceted Evaluation Tool for Electronic Prescribing System: A Study from a Developing Country

: Evaluation of electronic prescribing systems (EPS) can contribute to their quality assurance, and motivate users and policy-makers to implement these systems, directly influencing the health of society. An appropriate evaluation tool plays a determining role in the identification of proper EPS. The present study aimed to develop a multifaceted evaluation tool for assessing the EPS. This study was conducted in two main steps in 2018. In the first step, we conducted a literature review to find the main features and capabilities of the prosperous EPS. In the second step, a Delphi method was used for determining the final criteria for evaluating EPS. After preparing a primary questionnaire based on the first step results, 27 expert stakeholders from related fields participated in this 3-phase Delphi study. The narrative content analysis and descriptive statistics were used for data analysis. The final evaluation tool consists of 61 questions in 10 main dimensions, including practical capabilities of the process/user and patient safety, data storage and transfer, prescription control and renewal, technical functions, user interfaces, security and privacy, reporting, portability, hardware and infrastructure, and system failure/recovery. The evaluation tool developed in this study can be used for the critical appraisal of features of EPS. It is recommended that this multifaceted evaluation tool be employed to help buyers compare different systems and assist EPS software vendors in prioritizing their activities regarding the system development. By using this tool, healthcare organizations can also choose a system that improves many aspects of health care.

Patients', pharmacists', and prescribers' attitude toward using blockchain and machine learning in a proposed ePrescription system: online survey

Objective

To evaluate the attitudes of the parties involved in the system toward the new features and measure the potential benefits of introducing the use of blockchain and machine learning (ML) to strengthen the in-place methods for safely prescribing medication. The proposed blockchain will strengthen the security and privacy of the patient’s prescription information shared in the network. Once the ePrescription is submitted, it is only available in read-only mode. This will ensure there is no alteration to the ePrescription information after submission. In addition, the blockchain will provide an improved tracking mechanism to ensure the originality of the ePrescription and that a prescriber can only submit an ePrescription with the patient’s authorization. Lastly, before submitting an ePrescription, an ML algorithm will be used to detect any anomalies (eg, missing fields, misplaced information, or wrong dosage) in the ePrescription to ensure the safety of the prescribed medication for the patient.

Methods

The survey contains questions about the features introduced in the proposed ePrescription system to evaluate the security, privacy, reliability, and availability of the ePrescription information in the system. The study population is comprised of 284 respondents in the patient group, 39 respondents in the pharmacist group, and 27 respondents in the prescriber group, all of whom met the inclusion criteria. The response rate was 80% (226/284) in the patient group, 87% (34/39) in the pharmacist group, and 96% (26/27) in the prescriber group.

Key Findings

The vast majority of the respondents in all groups had a positive attitude toward the proposed ePrescription system’s security and privacy using blockchain technology, with 72% (163/226) in the patient group, 70.5% (24/34) in the pharmacist group, and 73% (19/26) in the prescriber group. Moreover, the majority of the respondents in the pharmacist (70%, 24/34) and prescriber (85%, 22/26) groups had a positive attitude toward using ML algorithms to generate alerts regarding prescribed medication to enhance the safety of medication prescribing and prevent medication errors.

Conclusion

Our survey showed that a vast majority of respondents in all groups had positive attitudes toward using blockchain and ML algorithms to safely prescribe medications. However, a need for minor improvements regarding the proposed features was identified, and a post-implementation user study is needed to evaluate the proposed ePrescription system in depth.

[Electronic medical record and prescription: risks and benefits detected since its implementation. Safe designing, rollout and use]

Las nuevas tecnologías de la información han transformado la manera de prestar la asistencia en los servicios de salud, impregnando casi todos los aspectos de la atención sanitaria. A medida que la complejidad del sistema aumenta, es más difícil trabajar de manera óptima sin la asistencia de las nuevas tecnologías. Su implantación supone un avance, bien por el adelanto que entraña el uso adecuado de cualquier nueva tecnología en el cuidado de la salud, bien por el desarrollo de aplicaciones específicas que mejoran la seguridad de la asistencia. Sin embargo, factores como un diseño incorrecto, implementación y mantenimiento deficientes, capacitación inadecuada, junto al exceso de confianza y dependencia, pueden hacer que las tecnologías comprometan, más que favorecer, la seguridad del paciente.

Este artículo describe los efectos beneficiosos, y los que no lo son tanto, de la introducción en nuestro país de la historia clínica y la receta electrónicas en la calidad y la seguridad de la asistencia sanitaria.

Implementation of a shared medication list in primary care - a controlled pre-post study of medication discrepancies

Background

Access to medicines information is important when treating patients, yet discrepancies in medication records are common. Many countries are developing shared medication lists across health care providers. These systems can improve information sharing, but little is known about how they affect the need for medication reconciliation. The aim of this study was to investigate whether an electronically Shared Medication List (eSML) reduced discrepancies between medication lists in primary care.

Methods

In 2018, eSML was tested for patients in home care who received multidose drug dispensing (MDD) in Oslo, Norway. We followed this transition from the current paper-based medication list to an eSML. Medication lists from the GP, home care service and community pharmacy were compared 3 months before the implementation and 18 months after. MDD patients in a neighbouring district in Oslo served as a control group.

Results

One hundred eighty-nine patients were included (100 intervention; 89 control). Discrepancies were reduced from 389 to 122 (p <  0.001) in the intervention group, and from 521 to 503 in the control group (p = 0.734). After the implementation, the share of mutual prescription items increased from 77 to 94%. Missing prescriptions for psycholeptics, analgesics and dietary supplements was reduced the most.

Conclusions

The eSML greatly decreases discrepancies between the GP, home care and pharmacy medication lists, but does not eliminate the need for medication reconciliation.

Electronic prescription as a driver for digitalization in Finnish pharmacies

Background

Finnish community pharmacies have undergone digitalization during the past decade. The introduction of the electronic prescription has had a significant impact on pharmacy workflows, such as the dispensing process. This inevitably has significant sociotechnical implications. We examine the impact of digitalization on the dispensing process and the sociotechnical orientation of a pharmacy.

Methods

We utilize data collected in customer service situations in Finnish community pharmacies at two points in time: in the traditional workflow, when electronic prescriptions were not in use, and in the new direct dispensing workflow, which is the usual delivery model in the case of electronic prescriptions. We analyze this data in terms of changes in workflow efficiency. We also draw on existing literature to build a conceptual model for digitalization in the pharmacy sector from a sociotechnical standpoint.

Results

In the Finnish environment, the results, based on our study sample, show that with electronic prescriptions and the direct dispensing model, the delivery time for a single medication over the counter was reduced by 13%. The results also indicate that the process has become more predictable, as the variation in terms of the workflow lead time has decreased.

Conclusions

The results indicate that the dispensing process has become more efficient in terms of time and throughput as well as more technically oriented and predictable. From a sociotechnical perspective, the results indicate that the technical subsystem has strengthened, and pharmacies have adapted to the new technology in the dispensing process.

Analysis of Patient Safety Incidents in Primary Care Reported in an Electronic Registry Application

OBJECTIVES

(1) To describe the epidemiology of patient safety (PS) incidents registered in an electronic notification system in primary care (PC) health centres; (2) to define a risk map; and (3) to identify the critical areas where intervention is needed.

DESIGN

Descriptive analytical study of incidents reported from 1 January to 31 December 2018, on the TPSC Cloud™ platform (The Patient Safety Company) accessible from the corporate website (Intranet) of the regional public health service.

SETTING

24 Catalan Institute of Health PC health centres of the Tarragona region (Spain).

PARTICIPANTS

Professionals from the PC health centres and a Patient Safety Functional Unit.

MEASUREMENTS

Data obtained from records voluntarily submitted to an electronic, standardised and anonymised form. Data recorded: healthcare unit, notifier, type of incident, risk matrix, causal and contributing factors, preventability, level of resolution and improvement actions.

RESULTS

A total of 1544 reports were reviewed and 1129 PS incidents were analysed: 25.0% of incidents did not reach the patient; 66.5% reached the patient without causing harm, and 8.5% caused adverse events. Nurses provided half of the reports (48.5%), while doctors reported more adverse events (70.8%; p < 0.01). Of the 96 adverse events, 46.9% only required observation, 34.4% caused temporary damage that required treatment, 13.5% required (or prolonged) hospitalization, and 5.2% caused severe permanent damage and/or a situation close to death. Notably, 99.2% were considered preventable. The main critical areas were: communication (27.8%), clinical-administrative management (25.1%), care delivery (23.5%) and medicines (18.4%); few incidents were related to diagnosis (3.6%).

CONCLUSIONS

PS incident notification applications are adequate for reporting incidents and adverse events associated with healthcare. Approximately 75% and 10% of incidents reach the patient and cause some damage, respectively, and most cases are considered preventable. Adequate and strengthened risk management of critical areas is required to improve PS.

Can electronic prescribing mandates reduce opioid-related overdoses?

As the opioid crisis has escalated, states have enacted numerous policies targeting opioid access and monitoring possible misuse. Recently, the majority of states have passed electronic prescribing mandates for controlled substances. These mandates require that controlled substances be prescribed electronically directly to the pharmacy. The electronic system maintains a rich patient history that prescribers will observe when issuing a prescription while also reducing opportunities for fraud. The first enforced mandate was implemented in New York in March 2016; thus empirical evidence about the effects of such mandates is limited. We study how adoption of the New York e-prescribing mandate affected opioid supply and opioid-related overdoses. We estimate that the mandate reduced the rate of overdoses involving natural and semi-synthetic opioids by 22 %. We find little evidence of any corresponding changes in overdose rates involving illicit opioids.

The Effects of Bar-coding Technology on Medication Errors: A Systematic Literature Review

BACKGROUND

The bar-coding technology adoptions have risen drastically in U.S. health systems in the past decade. However, few studies have addressed the impact of bar-coding technology with strong prospective methodologies and the research, which has been conducted from both in-pharmacy and bedside implementations.

OBJECTIVE

This systematic literature review is to examine the effectiveness of bar-coding technology on preventing medication errors and what types of medication errors may be prevented in the hospital setting.

METHODS

A systematic search of databases was performed from 1998 to December 2016. Studies measuring the effect of bar-coding technology on medication errors were included in a full-text review. Studies with the outcomes other than medication errors such as efficiency or workarounds were excluded. The outcomes were measured and findings were summarized for each retained study.

RESULTS

A total of 2603 articles were initially identified and 10 studies, which used prospective before-and-after study design, were fully reviewed in this article. Of the 10 included studies, 9 took place in the United States, whereas the remaining was conducted in the United Kingdom. One research article focused on bar-coding implementation in a pharmacy setting, whereas the other 9 focused on bar coding within patient care areas. All 10 studies showed overall positive effects associated with bar-coding implementation.

CONCLUSIONS

The results of this review show that bar-coding technology may reduce medication errors in hospital settings, particularly on preventing targeted wrong dose, wrong drug, wrong patient, unauthorized drug, and wrong route errors.

The Development and Piloting of the Ambulatory Electronic Health Record Evaluation Tool: Lessons Learned

BACKGROUND

Substantial research has been performed about the impact of computerized physician order entry on medication safety in the inpatient setting; however, relatively little has been done in ambulatory care, where most medications are prescribed.

OBJECTIVE

To outline the development and piloting process of the Ambulatory Electronic Health Record (EHR) Evaluation Tool and to report the quantitative and qualitative results from the pilot.

METHODS

The Ambulatory EHR Evaluation Tool closely mirrors the inpatient version of the tool, which is administered by The Leapfrog Group. The tool was piloted with seven clinics in the United States, each using a different EHR. The tool consists of a medication safety test and a medication reconciliation module. For the medication test, clinics entered test patients and associated test orders into their EHR and recorded any decision support they received. An overall percentage score of unsafe orders detected, and order category scores were provided to clinics. For the medication reconciliation module, clinics demonstrated how their EHR electronically detected discrepancies between two medication lists.

RESULTS

For the medication safety test, the clinics correctly alerted on 54.6% of unsafe medication orders. Clinics scored highest in the drug allergy (100%) and drug-drug interaction (89.3%) categories. Lower scoring categories included drug age (39.3%) and therapeutic duplication (39.3%). None of the clinics alerted for the drug laboratory or drug monitoring orders. In the medication reconciliation module, three (42.8%) clinics had an EHR-based medication reconciliation function; however, only one of those clinics could demonstrate it during the pilot.

CONCLUSION

Clinics struggled in areas of advanced decision support such as drug age, drug laboratory, and drub monitoring. Most clinics did not have an EHR-based medication reconciliation function and this process was dependent on accessing patients' medication lists. Wider use of this tool could improve outpatient medication safety and can inform vendors about areas of improvement.

Association between 30-day readmission rates and health information technology capabilities in US hospitals

Health information technology (IT) is often proposed as a solution to fragmentation of care, and has been hypothesized to reduce readmission risk through better information flow. However, there are numerous distinct health IT capabilities, and it is unclear which, if any, are associated with lower readmission risk.To identify the specific health IT capabilities adopted by hospitals that are associated with hospital-level risk-standardized readmission rates (RSRRs) through path analyses using structural equation modeling.This STROBE-compliant retrospective cross-sectional study included non-federal U.S. acute care hospitals, based on their adoption of specific types of health IT capabilities self-reported in a 2013 American Hospital Association IT survey as independent variables. The outcome measure included the 2014 RSRRs reported on Hospital Compare website.A 54-indicator 7-factor structure of hospital health IT capabilities was identified by exploratory factor analysis, and corroborated by confirmatory factor analysis. Subsequent path analysis using Structural equation modeling revealed that a one-point increase in the hospital adoption of patient engagement capability latent scores (median path coefficient ß = -0.086; 95% Confidence Interval, -0.162 to -0.008), including functionalities like direct access to the electronic health records, would generally lead to a decrease in RSRRs by 0.086%. However, computerized hospital discharge and information exchange capabilities with other inpatient and outpatient providers were not associated with readmission rates.These findings suggest that improving patient access to and use of their electronic health records may be helpful in improving hospital performance on readmission; however, computerized hospital discharge and information exchange among clinicians did not seem as beneficial - perhaps because of the quality or timeliness of information transmitted. Future research should use more recent data to study, not just adoption of health IT capabilities, but also whether their usage is associated with lower readmission risk. Understanding which capabilities impact readmission risk can help policymakers and clinical stakeholders better focus their scarce resources as they invest in health IT to improve care delivery.

Evaluating physicians' perspectives on the efficiency and effectiveness of the electronic prescribing system

BACKGROUND

The implementation of the electronic prescribing system follows certain objectives, and users' perspectives can contribute to understanding the efficiency and effectiveness of this system. This study aimed to evaluate physicians' perspectives on the efficiency and effectiveness of the electronic prescribing system.

METHODS

This study was conducted on all physicians using the electronic prescribing system in clinics and hospitals affiliated with the treatment deputy of the Social Security Organization (SSO) in Sistan and Baluchistan Province in Iran. Data were collected using a self-administered questionnaire containing three sections: (i) Six items related to demographic data and clinical experience, (ii) Specific questions based on a five-point Likert scale-related physicians' perspectives about efficiency (19 questions) and effectiveness (13 questions), and (iii) Open-ended questions about the positive and negative aspects of using the electronic prescribing system.

RESULTS

The mean and standard deviation of the efficiency and effectiveness of the electronic prescribing system were 3.68 ± 0.67 and 3.84 ± 0.65, respectively. Patient safety had the highest mean score among all dimensions (4.0 ± 0.64). Most participants (n = 55, 79%) considered the efficiency and effectiveness of this system high. More than 90 percent of the physicians (n = 63) believed that the electronic prescribing system enables a better medication prescription by providing alerts and access to patients' medication history.

CONCLUSION

The findings showed that most physicians believed that the electronic prescribing system of Iran's SSO has high efficiency and effectiveness. In particular, physicians believed that using this system improves patient safety and reduces costs.

From Paper to E-Prescribing of Multidose Drug Dispensing: A Qualitative Study of Workflow in a Community Care Setting

E-prescribing is now widespread and, in some countries, has completely replaced paper prescriptions. In Norway, almost all prescribing is electronic, except for multidose drug dispensing (MDD), which is still sent to the pharmacy by fax or ordinary mail. MDD is an adherence aid used by one-third of all patients receiving home care services. In this paper, we present results from a qualitative study evaluating the introduction of e-prescribing for MDD in a community health care setting. The focus is on the work and workflow for the pharmacists and nurses involved in the medication-handling process. We used the pragmatic process evaluation framework and the systematic text condensation method to analyse the data. We conducted 12 interviews with 34 nurses and pharmacists. This study shows that the e-prescribing of MDD led to greater integration between systems, both within the existing MDD system and across care levels, potentially improving patient safety. However, the structured prescriptions increased the need for clarifications, resulting in an increased overall workload. A greater understanding of the roles and responsibilities of the different professionals in the medication management chain and their needs would improve the workflow of the nurses and pharmacists involved.

Remote pharmacy service in primary care: The implementation of a cloud-based pre-prescription review system

BACKGROUND

To reduce the occurrence of inappropriate prescription in primary care through the introduction of a cloud-based pre-prescription review system.

OBJECTIVE

We aimed to describe the implementation of a cloud-based pre-prescription review system in the pharmacy practice of Chinese community health centers (CHCs), which currently have few qualified pharmacists.

PRACTICE DESCRIPTION

The cloud-based pre-prescription review system featured reviews by remote clinical pharmacists and targeted the prevention of inappropriate prescription in primary care.

PRACTICE INNOVATION

This study describes the implementation of remote pharmacy at 22 CHCs in Futian District, Shenzhen, China. A pre-prescription system was developed and deployed in the cloud, which is linked to CHCs, and a consortium of qualified clinical pharmacists located in tertiary hospital. All prescriptions were mandatorily reviewed before printing and payment. First, prescriptions were reviewed using cloud-based rational drug use software. Then any detected potentially inappropriate prescriptions were reviewed by the remote pharmacist. The pharmacist consortium also modified review rules to improve efficiency and accuracy.

EVALUATION METHODS

The frequency and proportions of potentially inappropriate prescriptions identified by the review software and the remote pharmacist consortium were analyzed descriptively.

RESULTS

During the 6-month study period (July 1, 2019-December 31, 2019), 340,117 prescription entries from general practitioners in 22 community health care centers were reviewed. Of these, 6479 (3.0%) unique potential entries were suspended for pharmacist review, of which 3230 (49.9%) needed correction from prescribers in the CHCs. The most common corrections were related to improper administration routes or drug-drug interactions or had no justified indications.

CONCLUSION

Inappropriate prescription is not uncommon in CHCs. The cloud-based prescription prereview model proposed in this study can serve as an important tool for the prevention of inappropriate prescription in primary care. The pre-prescription review system also provided opportunities for pharmacists to participate in the enhancement of patient care in primary care.

Doctors' Perceptions of E-Prescribing upon Its Mandatory Adoption in Poland, Using the Unified Theory of Acceptance and Use of Technology Method

Background: E-prescribing is the most important achievement in the automation of the healthcare sector in Poland. Obligatory electronic prescribing came into force on 8 January 2020. This innovation significantly changes the work of doctors. Therefore, it is useful to identify the factors that have an impact on doctors’ acceptance levels for the new technology. Methods: This study employs a survey based on the Unified Theory of Acceptance and Use of Technology (UTAUT) method. Our questionnaire was completed by 144 family doctors in Poland during the technology implementation phase and the initial period of obligatory e-prescribing, between 1 December 2019 and 1 March 2020. Results: The results of the survey indicate that doctors do not believe that e-prescribing improves the effectiveness of their work. In addition, this attitude does not depend on the age of the respondent. We also found, regarding the influence of societal attitudes, that doctors only rarely consider the opinions of others in relation to their job. Conclusions: The implementation of new technologies in the healthcare system must be accompanied by consideration of how user-friendly the technologies are, and whether the users will have appropriate technical and financial support.

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.

Adherence to prescription-writing guidelines for outpatients in Southern Gauteng district hospitals

Background

Medical prescription writing is legally and professionally regulated in order to prevent errors that can result in patients being harmed. This study assesses prescriber adherence to such regulations in primary care settings.

Methods

A cross-sectional study of 412 prescriptions from four district hospital outpatient departments (OPDs) was conducted in March 2015. Primary outcome data were obtained by scoring prescriptions for accuracy across four categories: completion of essential elements, use of generic names of medications, use of recommended abbreviations and decimals and legibility. Secondary outcome data sought associations between accuracy scores and characteristics of the OPDs that might influence prescriber adherence.

Results

Completion of the essential elements, including patient identifiers, prescriber identifiers, treatment regimen and date scored 44%, 77%, 99% and 99% respectively. Legibility, the use of generic names of medications and the use of recommended abbreviations and decimals scored 90%, 39% and 35%, respectively. Only 38% of prescriptions achieved a global accuracy score (GAS) of between 80% and 100%. A significant association was found between lower GAS and the number of prescriptions written per day (p = 0.001) as well as with the number of prescribers working on that day (p = 0.005), suggesting a negative impact on prescribers’ performance because of workload pressures.

Conclusion

Low GAS values indicate poor adherence to prescription-writing regulations. Elements requiring substantial improvement include completion of patient and prescriber identifiers, use of generic medication names and the use of recommended abbreviations and decimals. This study provides baseline data for future initiatives for improvement in prescription-writing quality.

The state of national electronic prescription systems in the EU in 2018 with special consideration given to interoperability issues

INTRODUCTION

The electronic prescribing system (EPS) is now widely used in the USA and largely also in EU member countries. Nevertheless, comparisons of different EPS are very scarce. Whilst the EU strives for cross-border interoperability in healthcare, the aim of this study is to provide a contemporary account of the state of national EPS in such countries.

METHODS

For the sake of consistency the state of each of the EPS as of the end of 2018 was researched using an e-mail questionnaire. Respondents were chosen from among authors who have previously published studies on electronic prescriptions.

RESULTS

Data on EPS was gathered from 23 out of the 28 EU member states. In 2018 EPS was in daily use in 19 EU states, and one further country had a pilot project, whereas the remaining 3 were only at the planning stage. Most of the EPS do not differ significantly in basic design, however authentication procedures vary substantially.

DISCUSSION

There is a significant increase in EPS usage in EU countries as compared with previous studies. Cross-border interoperability in the EU is still limited, and further advancement might be hampered by differences in authentication procedures.

CONCLUSION

Although it was not possible to acquire data from all the EU countries, this study shows the present state of electronic prescription in most of them and demonstrates continuous development in this area.

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.

Analgesic Outcomes in a Danish Acute Care Hospital Following Electronic Prescribing and Analgesic Self-Administration

BACKGROUND

Despite the long-term consequences of poorly controlled postoperative pain, inadequate pain control remains a problem.

AIMS

To improve the quality of postoperative pain management, the study site, an acute care hospital in Denmark, introduced electronic prescribing with standard order-sets, and allowed patients to self-administer analgesia. This study aimed to describe analgesic prescribing, prescriptions for multimodal analgesia, analgesic administration, and patients' pain experience, in this context.

DESIGN

Point-prevalence survey.

SETTINGS

One Danish regional hospital.

PARTICIPANTS

Consecutive sample of 286 surgical inpatients comprising 65 orthopaedic, 41 gynaecological, 57 urology and 123 gastrointestinal patients.

METHODS

We evaluated the quality of postoperative pain management on four postoperative surgical wards using: (1) the Revised American Pain Society Patient Outcome Questionnaire; and (2) patient chart audit.

RESULTS

Overall, 89.2% of patients were prescribed a fixed analgesic and 71.7% were prescribed fixed analgesics in multimodal combination. Patterns of multimodal prescribing and administration varied significantly across surgical groups. Patients received 87.7% of available fixed prescriptions and 22.5% of available analgesics prescribed 'as needed'. However, patients' worst pain intensity was high (mean = 5.8/10, SD = 2) and 73.4% reported moderate-to-severe worst pain during the previous 24-hours. Patients who self-administered medications used significantly more fixed-schedule paracetamol (p = .018), non-steroidal anti-inflammatory drugs (p = .001), weak (p = .035) and strong (p < .001) opioids.

CONCLUSIONS

The availability of multimodal analgesia was high following the introduction of electronic prescribing. However, gaps remain in the administration of both fixed and 'as needed' analgesics for postoperative patients. Findings suggested that allowing patients to self-administer analgesia may increase compliance with fixed schedule prescriptions.

Clinical Decision Support Systems in Breast Cancer: A Systematic Review

Breast cancer is the most frequently diagnosed cancer in women, with more than 2.1 million new diagnoses worldwide every year. Personalised treatment is critical to optimising outcomes for patients with breast cancer. A major advance in medical practice is the incorporation of Clinical Decision Support Systems (CDSSs) to assist and support healthcare staff in clinical decision-making, thus improving the quality of decisions and overall patient care whilst minimising costs. The usage and availability of CDSSs in breast cancer care in healthcare settings is increasing. However, there may be differences in how particular CDSSs are developed, the information they include, the decisions they recommend, and how they are used in practice. This systematic review examines various CDSSs to determine their availability, intended use, medical characteristics, and expected outputs concerning breast cancer therapeutic decisions, an area that is known to have varying degrees of subjectivity in clinical practice. Utilising the methodology of Kitchenham and Charter, a systematic search of the literature was performed in Springer, Science Direct, Google Scholar, PubMed, ACM, IEEE, and Scopus. An overview of CDSS which supports decision-making in breast cancer treatment is provided along with a critical appraisal of their benefits, limitations, and opportunities for improvement.

Association between Full Electronic Medical Record System Adoption and Drug Use: Antibiotics and Polypharmacy

Objectives

We investigated associations between full Electronic Medical Record (EMR) system adoption and drug use in healthcare organizations (HCOs) to explore whether EMR system features such as electronic prescribing, medicines reconciliation, and decision support, might be related to drug use by using the relevant nation-wide data.

Methods

The study design was cross-sectional. Survey data of the level of adoption of EMR systems were collected for the Organization for Economic Co-operation and Development benchmarking information and communication technologies (ICT) study between November 2013 and January 2014, in Korea. Survey respondents were hospital chief information officers and medical practitioners in primary care clinics. From the national health insurance administrative dataset, two outcomes, the rate of antibiotic prescription and polypharmacy with ≥6 drugs, were extracted.

Results

We found that full EMR adoption showed a 16.1% lower antibiotic drug prescription than partial adoption including paper-based medical charts in the hospital only (p = 0.041). Between EMR adoption status and polypharmacy prescription, only those clinics which fully adopted EMR showed significant associations with higher polypharmacy prescriptions (36.9%, p = 0.001).

Conclusions

The findings suggested that there might be some confounding effects present and sophisticated ICT may provide some benefits to the quality of care even with some mixed results. Although a negative relationship between full EMR system adoption and antibiotic drug use was only significant in hospitals, EMR system functions searching drugs or listing specific patients might facilitate antibiotic drug use reduction. Positive relationships between full EMR system adoption and polypharmacy rate in general hospitals and clinics, but not hospitals, require further research.

Using a Machine Learning System to Identify and Prevent Medication Prescribing Errors: A Clinical and Cost Analysis Evaluation

BACKGROUND

Clinical decision support (CDS) alerting tools can identify and reduce medication errors. However, they are typically rule-based and can identify only the errors previously programmed into their alerting logic. Machine learning holds promise for improving medication error detection and reducing costs associated with adverse events. This study evaluates the ability of a machine learning system (MedAware) to generate clinically valid alerts and estimates the cost savings associated with potentially prevented adverse events.

METHODS

Alerts were generated retrospectively by the MedAware system on outpatient data from two academic medical centers between 2009 and 2013. MedAware alerts were compared to alerts in an existing CDS system. A random sample of 300 alerts was selected for medical record review. Frequency and severity of potential outcomes of alerted medication errors of medium and high clinical value were estimated, along with associated health care costs of these potentially prevented adverse events.

RESULTS

A total of 10,668 alerts were generated. Overall, 68.2% of MedAware alerts would not have been generated by the existing CDS system. Ninety-two percent of a random sample of the chart-reviewed alerts were accurate based on structured data available in the record, and 79.7% were clinically valid. Estimated cost of adverse events potentially prevented in an outpatient setting was more than $60 per drug alert and $1.3 million when extrapolating study findings to the full patient population.

CONCLUSION

A machine learning system identified clinically valid medication error alerts that might otherwise be missed with existing CDS systems. Estimates show potential for cost savings associated with potentially prevented adverse events.

Conceptual Framework of the Impact of Health Technology on Healthcare System

The World Health Organization (WHO) promotes health systems strengthening as a means of improving population health, especially in low- and middle-income countries. The United Nations Sustainable Development Goals highlight the importance of investing in workforce development to improve population health and economic well-being. In relation to pharmaceuticals, health systems face challenges in terms of i) guaranteeing access to needed drugs, ii) rationalizing medicines use, and iii) avoiding harm from adverse events. There is a pressing need to better understand the relationships between technology and pharmacy practice when strengthening pharmaceutical care systems. In response, this paper examines ways in which harnessing new technologies can change pharmacy practice and strengthen pharmaceutical systems for the benefit of patients. The paper will present a conceptual framework as well as exploring case studies.

Electronic nursing documentation interventions to promote or improve patient safety and quality care: A systematic review

AIM

To review the evidence on the effects/impact of electronic nursing documentation interventions on promoting or improving quality care and/or patient safety in acute hospital settings.

BACKGROUND

Electronic documentation has been recommended to improve quality care and patient safety. With the gradual move from paper-based to electronic nursing documentation internationally, there is a need to identify interventions that can effectively improve quality care and patient safety.

EVALUATION

We conducted a systematic review on the effectiveness of electronic nursing documentation interventions on promoting or improving quality care and/or patient safety in acute hospital settings.

KEY ISSUES

Six articles reporting on six individual studies met all eligibility criteria. They were uncontrolled pre/post intervention studies reporting positive impacts on at least one or more outcomes. Most outcomes related to documentation practice and documentation of content.

CONCLUSION

Some evidence from our review indicates that implementing electronic nursing documentation in acute hospital settings is time saving, reduces rates of documentation errors, falls and infections.

IMPLICATIONS FOR NURSING MANAGEMENT

A planned approach from management over time to allow nurses adapt to new electronic systems of documentation would seem a good investment in terms of efficiency of work time, possibly resulting in more time for clinical care.

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.

Factors Affecting Rural Patients' Primary Compliance with e-Prescription: A Developing Country Perspective

Background:The electronic prescription system has emerged to reduce the ambiguity and misunderstanding associated with handwritten prescriptions. The opportunities and challenges of e-prescription system, its impact on reducing medication error, and improving patient's safety have been widely studied. However, not enough studies were conducted to explore and quantify the factors that affect rural patients' compliance with e-prescription, especially from the perspective of Asian developing countries where most of the world's population resides.

Objective:The objective of this study is to explore and assess the factors that affect rural patients' primary compliance with e-prescription in Bangladesh.

Methods:Data were collected from 95 randomly selected rural patients who received e-prescription through a field survey with a structured questionnaire from Bheramara subdistrict, Bangladesh, during June and July 2016. Logistic regression analysis was performed to test the research hypotheses.

Results:The study found patients' gender as the most significantly influential factor (regression coefficient [Coef.] = 2.02, odds ratio [OR] = 7.51, p < 0.05) followed by visiting frequency (Coef. = 0.99, OR = 2.70, p < 0.05); education (Coef. = 0.92, OR = 2.51, p < 0.05); and distance to healthcare facility (Coef. = 0.82, OR = 2.26, p < 0.01). However, patients' age, monthly family expenditure, and use of cell phone were found insignificant. The model explains 59.40% deviance (R² = 0.5940) in the response variable with its constructs. And the “Hosmer–Lemeshow” goodness-of-fit score (0.99) is also above the standard threshold (0.05), which indicates the data fit well with the model.

Conclusions:The findings of this study are expected to be helpful for e-health service providers to gain a better understanding of the factors that influence their patients to comply with e-prescriptions.

The impact of health information technology on patient safety

Since the original Institute of Medicine (IOM) report was published there has been an accelerated development and adoption of health information technology with varying degrees of evidence about the impact of health information technology on patient safety.  This article is intended to review the current available scientific evidence on the impact of different health information technologies on improving patient safety outcomes. We conclude that health information technology improves patient's safety by reducing medication errors, reducing adverse drug reactions, and improving compliance to practice guidelines. There should be no doubt that health information technology is an important tool for improving healthcare quality and safety. Healthcare organizations need to be selective in which technology to invest in, as literature shows that some technologies have limited evidence in improving patient safety outcomes.

Audit on the Use of Dangerous Abbreviations, Symbols, and Dose Designations in Paper Compared to Electronic Medication Orders: A Multicenter Study

BACKGROUND

Dangerous abbreviations on the Institute for Safe Medication Practices Canada's "Do Not Use" list have resulted in medication errors leading to harm. Data comparing rates of use of dangerous abbreviations in paper and electronic medication orders are limited.

OBJECTIVE

To compare rates of use of dangerous abbreviations from the "Do Not Use" list, in paper and electronic medication orders. Secondary objectives include determining the proportion of patients at risk for medication errors due to dangerous abbreviations and the most commonly used dangerous abbreviations.

METHODS

One-day cross-sectional audits of medication orders were conducted at a 6-site hospital network in Toronto, Canada, between December 2013 and January 2014. Proportions of paper and electronic medication orders containing dangerous abbreviation(s) were compared using a χ² test. The proportion of patients with at least 1 medication order containing dangerous abbreviation(s) and the top 5 dangerous abbreviations used were described.

RESULTS

Overall, 255 patient charts were reviewed. The proportions of paper and electronic medication orders containing dangerous abbreviation(s) were 172/714 (24.1%) and 9/2207 (0.4%), respectively ( P < 0.001). Almost one-third of patients had medication order(s) containing dangerous abbreviation(s). The proportions of patients with at least 1 medication order during the audit period containing dangerous abbreviation(s) for patients with paper only, electronic only, or a hybrid of paper and electronic medication orders were 50.5%, 5%, and 47.2%, respectively. Those most commonly used were "D/C", drug name abbreviations, "OD," "cc," and "U."

CONCLUSIONS

Electronic medication orders have significantly lower rates of dangerous abbreviation use compared to paper medication orders.

Effects of a Laboratory Health Information Exchange Intervention on Antiretroviral Therapy Use, Viral Suppression, and Racial/Ethnic Disparities

BACKGROUND

Although antiretroviral therapy (ART) is available to treat HIV+ persons and prevent transmission, ineffective delivery of care may delay ART use, impede viral suppression (VS), and contribute to racial/ethnic disparities along the continuum of care. This study tested the effects of a bi-directional laboratory health information exchange (LHIE) intervention on each of these outcomes.

METHODS

We used a quasi-experimental, interrupted time-series design to examine whether the LHIE intervention improved ART use and VS, and reduced racial/ethnic disparities in these outcomes among HIV+ patients (N = 1181) in a comprehensive HIV/AIDS clinic in Southern California. Main outcome measures were ART pharmacy fill and HIV viral load laboratory data extracted from the medical records over 3 years. Race/ethnicity and an indicator for the intervention (after vs. before) were the main predictors. The analysis involved 3-stage, multivariable logistic regression with generalized estimating equations.

RESULTS

Overall, the intervention predicted greater odds of ART use (odds ratio [OR] = 2.50; 95% confidence interval: 2.29 to 2.73; P < 0.001) and VS (OR = 1.12; 95% confidence interval: 1.04 to 1.21; P < 0.05) in the final models that included sociodemographic, behavioral, and clinical covariates. Before the intervention, there were significant black/white disparities in ART use OR = 0.75 (0.58-0.98; P = 0.04) and VS OR = 0.75 (0.61-0.92; P = 0.001). After the intervention, the black/white disparities decreased after adjusting for sociodemographics and the number of HIV care visits, and Latinos had greater odds than whites of ART use and VS, adjusting for covariates.

CONCLUSIONS

The intervention improved overall ART treatment and VS, and reduced black/white disparities. LHIE interventions may hold promise if implemented among similar patients.